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Tupan Launches TCT & Equity Token Farming on Binance Chain – Crypto Times

Tupan, a blockchain-based project focused on sustainable bioeconomy and aiding the Amazon rainforest, has announced the launch of its new Binance Smart Chain TCT (Tupan Community Token) and an innovative equity token farming program.

The TCT is not only a utility token but also represents the environmental impact of Tupans projects, creating a sustainable ecosystem connecting traditional markets, blockchain, and investment funds. Bitcoins recent compliance with the SEC and its recognition as an ETF, the crypto market is witnessing a shift in perception regarding volatility and regulation.

Tupan has introduced a program that allows its community to farm an Equity token called Tupan Augreen, representing shares in the ForestAu Green Investment Fund. To participate, users need to own a Tupan NFT and stake it along with TCT tokens, enabling them to earn tokenized shares of the fund, which has a portfolio of projects with high appreciation potential.

The Tupan Augreen tokens are estimated to cost $160,000, offering a unique opportunity for investors to gain exposure to regulation. SEC-approved investment fund focused on sustainable development and environmental conservation.

Also Read: Binance Unveils Luxury Crypto Fragrance for Womens Day

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PennDOT connecting students and engineering – WNEP Scranton/Wilkes-Barre

A job fair at the Mid Valley School District got students talking about one job in particular, and it is an important one here in Pennsylvania.

THROOP, Pa. Newswatch 16 has been at the construction site of the twin bridges in Dunmore countless times since the repair project was announced in 2017. But students at Mid Valley Elementary School are getting an even closer look, going underneath the bridges to see the scale of them and getting lectures on the theory and engineering behind the beams and overall design.

"To have that experience. You can talk engineering, but 9 times out of 10 kids are going to say what's engineering? And not realize how many branches of engineering there are. So diving into civil engineering and seeing that and sparking that interest," said 6th grade math and science teacher Sean Sholtes, Mid Valley Elementary School.

And what better way to spark that interest than at one ofPennDOT's largest projects right now, the twin bridges project. For the past two school years, 5th and 6th graders interested in STEM were invited to the job site.

"As a kid, I always grew up playing with legos. I really like tinkering with things, trying new things, and building stuff," said 5th grader Victoria Mara, Mid Valley Elementary School.

Victoria knew that she liked taking things apart and putting them back together, and with this program, now she knows she can make a career out of it.

"It was honestly really incredible. I thought, that's something I can do when I'm older and that's something I definitely want to be. That just made me more sure of my career," she said.

The 5th graders who went to the job site last year were invited back again. Sophia Vitaletti could not believe the progress.

"So when I went there the first bridge was just getting done, and when I went back this year, the first bridge was done and the second bridge was halfway done," said 6th grader Sophia Vitaletti, Mid Valley Elementary School.

And what teachers at Mid Valley think is the coolest part of Sophia's story, her dad was on the job site too. Ryan Vitaletti has been a civil engineer for PennDOT for more than two decades.

"Every day I come home from work and they're curious, what do you do, what's going on? It's hard to explain without actually being there. For her to come out to the job site and actually see the projects we manage out there and see how bridges are being built, it's a great opportunity," he said.

The Mid Valley School District plans to continue partnering with PennDOT and sending students back to job sites like the one in Dunmore. Teachers say now that students have expressed interest in civil engineering, they can talk about the path to get there from middle school to college.

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Automated Prompt Engineering. A mixture of reflections, lit reviews | by Ian Ho | Mar, 2024 – Towards Data Science

Image generated by Author with the help of DALL-E

I spent the past few months trying to build all sorts of LLM-powered apps, and truthfully, a really significant portion of time was just dedicated to improving prompts to get my desired output from the LLM.

There have been many moments where I run into a sort of existential void, asking myself if I might just be a glorified prompt engineer. Given the current state of interacting with LLMs, Im still inclined to conclude with Not Yet, and on most nights, I overcome my imposter syndrome. Wont get into that today.

But I still often wonder if, one day, the process of writing prompts could be mostly automated away. And I think the answer to this futuristic scenario hinges on uncovering the nature of prompt engineering.

Despite the countless number of prompt engineering playbooks out there on the vast internet, I still cannot decide if prompt engineering is an art or a science.

On one hand, it feels like an art when I have to iteratively learn and edit my prompts based on what Im observing in the outputs. Over time, you learn that some of the tiny details matter using must instead of should, or placing the guidelines towards the end instead of the middle of the prompt. Depending on the task, there are simply too many ways that one can express a set of instructions and guidelines, and sometimes it feels like trial and error.

On the other hand, one could argue that prompts are just hyper-parameters. At the end of it, the LLM really just sees your prompts as embeddings, and like all hyper-parameters, you can tune it and objectively measure its performance if you have an established set of training and testing data. I recently came across this post by Moritz Laurer, whos an ML Engineer at HuggingFace:

Every time you test a different prompt on your data, you become less sure if the LLM actually generalizes to unseen data Using a separate validation split to tune the main hyperparameter of LLMs (the prompt) is just as important as train-val-test splitting for fine-tuning. The only difference is that you dont have a training

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Automated Prompt Engineering. A mixture of reflections, lit reviews | by Ian Ho | Mar, 2024 - Towards Data Science

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Huang named dean for the College of Engineering, Architecture and Technology – Oklahoma State University

Dr. Hanchen Huang was named the new dean of Oklahoma State University's College of Engineering, Architecture and Technology on March 8.

Friday, March 8, 2024

Media Contact: Kristi Wheeler | Manager, CEAT Marketing and Communications | 405-744-5831 | kristi.wheeler@okstate.edu

The OSU/A&M Board of Regents has approved the appointment of Dr. Hanchen Huang as dean, professor of mechanical and aerospace engineering, and the holder of the Donald and Cathey Humphreys Endowed Chair of the College of Engineering, Architecture and Technology.

Huangs selection followed an extensive nationwide search that commenced in the fall, and he is expected to assume his duties as dean in early April.

Huang recently served as a professor of mechanical engineering at the University of Massachusetts-Dartmouth, where he also served as the provost and vice chancellor for academic affairs from July 2022 to June 2023. He served as the dean of the College of Engineering at the University of North Texas between January 2019 and July 2022, and the department chair of mechanical and industrial engineering at Northeastern University in Boston between July 2013 and December 2018.

While serving in these roles, Huang successfully led efforts to increase enrollment, research opportunities, faculty recruitment and institutional reputation. His extensive experience, as well as faculty perspective and mentorships, will make him a valuable addition to CEAT.

Dr. Jeanette Mendez, OSU provost and senior vice president, said she is looking forward to Huang joining the OSU leadership team.

President [Kayse] Shrum and I are confident we succeeded in identifying the individual best suited to lead CEAT and continue to solidify Oklahoma State as a leader in STEM education, cutting-edge research and Extension programming, reinforcing our focus on the land-grant mission, Mendez said. OSU is dedicated to meeting evolving industry demands in science, technology, engineering and mathematics, and Dr. Huangs academic and mentoring background will serve CEATs commitment to preparing students for fulfilling careers in these competitive and in-demand disciplines.

Having chaired a university faculty senate standing committee at Rensselaer Polytechnic Institute and a university faculty senate ad hoc committee at Northeastern University, Huang said he understands the faculty perspective of shared governance. As a scholar, he has mentored more than 40 postdoctoral and Ph.D. students, including tenured/tenure-track faculty now teaching at peer institutions such as the University of Wisconsin-Madison and the University of Nebraska-Lincoln.

Huang said he is looking forward to working with faculty, staff, students, the provost and the president, as well as vice presidents and fellow deans.

I hope to elevate CEAT in research, education and Extension, so as to propel OSU in achieving uncommon preeminence for the common good, Huang said.

CEAT has tremendous potential to advance because of (1) the excellent faculty and staff in the college, (2) the alignment of colleges strengths with university strategic focus on energy, aerospace, health and innovation; and (3) the alignment of colleges expertise with the critical need of engineers in the state of Oklahoma. Realizing this potential, my collaborations with stakeholders will have an excellent opportunity to positively impact this college.

Dr. John Veenstra has served as interim dean of CEAT since August 2023 when Dr. Paul Tikalsky stepped down after more than a decade at the helm to return to a faculty position.

I would like to welcome Dr. Hanchen Huang as the new dean of the College of Engineering, Architecture and Technology, Veenstra said. He brings a wealth of academic administrative experience to his new role at OSU to lead CEAT. I am sure he will continue the momentum CEAT has built and strategically propel the college forward.

Huang earned a doctoral degree in nuclear engineering from University of California-Los Angeles, a masters degree in theoretical nuclear physics from the Institute of Atomic Energy/Chinese Academy of Sciences in Beijing and a bachelors degree in physics from Hebei Normal University, also in China.

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Human IgG Fc-engineering for enhanced plasma half-life, mucosal distribution and killing of cancer cells and bacteria – Nature.com

Cell culture

Human embryonic kidney (HEK)293E (ATCC, CRL-1573), Raji cells (ATCC, CCL-86), WSU-NHL (DSMZ GmbH, ACC 58), DOHH-2 (DSMZ GmbH, ACC 47) and SU-DHL-4 (DSMZ GmbH, ACC 495) were maintained in RPMI 1640 medium with L-glutamine (ThermoFisher) all supplemented with 10% heat-inactivated (HI) fetal bovine serum (FCS) (Merck), 25g/mL streptomycin and 25U/mL penicillin (ThermoFisher). T84 cells (ATCC, CCL-248) were maintained in HAMs F12/DMEM (1:1) with L-glutamine (ThermoFisher) supplemented with 10% HI-FCS, 25 g/mL streptomycin and 25U/mL penicillin (ThermoFisher). HMEC1-hFcRn cells63 were maintained in MCDB 131 medium (ThermoFisher) supplemented with 10% HI-FCS, 2 mM L-glutamine, 25 g/mL streptomycin, 25U/mL penicillin, 10ng/mL mouse epidermal growth factor (mEGFR) (Peprotech) and 1g/mL hydrocortisone. MDCK-hFcRn cells were generated Drs. Jens Fisher and Alex Haas (Roche Pharma Research and Early Development) and cultured in DMEM supplemented with 10% HI-FCS, 25 g/mL streptomycin, 25U/mL penicillin, and 300g/mL G418 (Sigma-Aldrich). Expi293 cells (ThermoFisher, A14527) were maintained in Expi293 medium (ThermoFisher) supplemented with 10% HI-FCS, 25g/mL streptomycin and 25U/mL penicillin (ThermoFisher). All cell lines were kept in a humidified 37C/5% CO2 incubator, except Expi293 cells that were kept in a humidified 37C/8% CO2 incubator on an orbital shaker (125rpm).

Expression vectors encoding the heavy chain (HC) and light chain (LC) of NIP64, anti-CD20 (mAb2, mAb1, mAb9 and ofatumumab)42,65, anti-S. aureus WTA (4497)46, anti-S. pneumonia (Dob1)48 and anti-N. gonorrhoeae (2C7)66 specific mouse-human chimeric or human WT IgG variants were generated by synthesizing cDNA followed by subcloning into the described pLNOH2/pLNOk vector system (Genscript Inc). SARS-CoV-2 specific mAb4 (THSC20.HVTR04)33 WT IgG1 were generated by synthesizing the V-region followed by subcloning into the pFUSE expression vector system (Invivogen) (Genscript Inc). Vectors encoding IgG variants with site-specific substitutions were generated by site-directed mutagenesis (Genscript Inc). All IgG variants or recombinant Fc fragments were produced in HEK293E cells or Expi-CHO (Humab 2C7) by transient transfection using Lipofectamine 2000 (ThermoFisher). The IgG variants were purified using CaptureSelect CH1 columns (Thermo Fisher) prior to size exclusion chromatography (SEC) to isolate monomeric fractions using a Superdex 200 Increase 10/300 column (Cytiva Life Sciences) with an KTA Avant 25 (Cytiva Life Sciences). Purified IgG variants were concentrated using Amicon Ultra 50K spin columns (Merck) and stored in either 1x phosphate buffered saline (PBS) (NIP, anti-CD20, anti-S. aureus WTA (4497), anti-S. pneumoniae 6B (CPS6) and anti-N. gonorrhoeae (2C7) or 20mM TRIS-HCl, 140mM NaCl, pH 5.6 (mAb4). Protein concentrations were determined using a DS-11 spectrophotometer (DeNovix). For production yield experiments, NIP IgG1 WT and REW were produced in Expi293 cells using the Expifectamine Transfection Kit (Thermo Fisher) and purified as above.

Truncated soluble and Glutathione S-transferase (GST) tagged human FcRn lacking the transmembrane domain (hFcRn-GST) was produced in HEK293E cells and purified on a GSTrap column (Cytiva Life Sciences)67. Truncated soluble and biotinylated human and mouse FcRn formslacking the transmembrane domain were acquired from Immunitrack Inc. Truncated soluble His6x tagged human FcRn lacking the transmembrane domain (hFcRn-His) was produced in a Baculovirus expression system and purified using a HisTrap HP column (Cytiva Life Sciences)68,69. The Baculovirus stock was a kind gift from Dr. Sally Ward (University of Southampton). Monomeric fractions of hFcRn-His were isolated by SEC using a Superdex 200 Increase 10/300 column (Cytiva Life Sciences) with an KTA Avant 25 (Cytiva Life Sciences).

Stated titration series of NIP specific IgG variants were captured on bovine serum albumin (BSA) conjugated to NIP (1:25 ratio) (BSA-NIP(25)) coated at 1g/mL/100l in 96-well EIA/RIA plates (Corning) and blocked with 4% skimmed milk (S) in PBS overnight (ON). All remaining steps were performed using either phosphate buffer pH 6.0 with 4% S and 0.05% Tween 20 (T) or PBS/T/S pH 7.4 as dilution and wash buffers. Then FcRn-GST (0.25g/ml or 2.0g/mL), biotinylated human or mouse FcRn (Immunitrack) (2.5g/mL or 0.25g/mL) were added and incubated for 1h at RT. When 0.25g/mL biotinylated FcRn were used at pH 7.4, the receptor was pre-incubated with alkaline phosphatase (AP) conjugated streptavidin (1:5000 in PBS/T/S) to increase sensitivity. Bound FcRn was detected either by a horseradish peroxidase (HRP)-conjugated anti-GST antibody from goat (Rockland Immunochemicals, 200-301-200) (diluted 1:5000 in PBS/T/S) or streptavidin-AP (diluted 1:5000 in PBS/T/S) and visualized by addition of TMB substrate (CalBiochem) or p-nitrophenylphosphate (AP substrate) (Sigma-Aldrich) diluted to 10g/mL in diethanolamine buffer. The HRP reaction was terminated by addition of 1M HCl and the 450nM (HRP) or 405nm (AP) absorption values was recorded using a Sunrise Spectrophotometer (TECAN).

A Biacore 3000 (Cytiva Life Sciences) was used to couple NIP IgG1 variants (300 resonance units (RU) to CM5 sensor chips using an amine coupling kit (Cytiva Life Sciences). Phosphate pH 6.0 or HBS-P+ pH 7.4 were used as running and regeneration buffers, respectively. Serial dilutions of monomeric hFcRn-His were injected over immobilized mAbs at pH 6.0 with a flow rate of 50l/min at 25C. Binding data were adjusted to a zero sample and the reference flow cell values subtracted before the Langmuir 1:1 ligand binding model (BIAevaluation software) were used to determine binding kinetics. Binding at pH 7.4 was performed by single injections of 4000nM FcRn-His over 2000 RU of immobilized NIP IgG1 variants at 25C with a flow rate of 20l/min.

HMEC-1 cells stably expressing HA-hFcRn-EGFP were seeded into 24-well plates (CorningCostar) at 7.5105 cells/well and cultured for 2 days in complete growth medium. The cells were washed twice and starved for 1h in Hanks Balanced Salt Solution (HBSS) (ThermoFisher). Then, 200nM NIP specific IgG1 variants diluted in 250l HBSS (pH 7.4) were added in triplicates to two identical plates of cells and incubated for 4h in a 37C/5% CO2 incubator. The HBSS was removed, and the cells washed four times with ice cold HBSS (pH 7.4), before fresh growth medium without FCS and supplemented with MEM non-essential amino acids (ThermoFisher) was added to one of the plates and incubated ON before samples were collected (recycling fraction). Total protein lysate (residual fraction) was then isolated using RIPA lysis buffer (ThermoFisher) supplied with 1x Complete Protease Inhibitor (Roche). The mixture was incubated with the cells on ice and a shaker for 10min followed by centrifugation for 15min at 10000g to remove cellular debris. Similarly, total protein lysate (uptake fraction) from cells in the second plate was isolated after 4h using the same protocol. The amounts of NIP IgG1 variants present in the samples and lysates were quantified by ELISA.

Plasma half-life experiments were performed by Jackson Laboratory Services (Bar Harbor, USA). Hemizygous FcRn transgenic mice (B6.Cg-Fcgrttm1Dcr Tg(FCGRT)32Dcr/DcrJ) (Tg32) that are knockout for the mouse FcRn heavy chain (Fccgrttm1Drc) and express the genomic transgene of the human FcRn heavy chain (FCGRT) under the control of the human FcRn promotor (Tg32) (The Jackson Laboratory) were used to measure the plasma half-life of IgG variants and etanercept. A mix of 3 female and 2 male mice aged 79 weeks was used per group. The mice were pre-loaded with 500mg/kg IVIg (privigen, CLS Behring) via i.v. administration 2 days prior to i.v. administration of the test antibodies at a dose of 5mg/kg. Blood samples (25 L) were drawn from the retro-orbital sinus at days 1, 2, 3, 5, 7, 10, 12, 16, 19 and 23 days post administration of the test antibodies. Blood samples were mixed with 1L 1% K3-EDTA to prevent coagulation and centrifuged at 17.000g for 5min at 4C. Plasma was isolated and diluted 1:10 in 50% glycerol/PBS solution before stored at 20C until analysis by ELISA. Half-life data were plotted as percent antibody remaining compared to the first concentration measured. Data points from the -phase were used to calculate half-life using the formula:

$$,tfrac{1}{2}=frac{log left(0.5right)}{log left(frac{{Ac}}{{Ao}}right)}x,t$$

(1)

where t1/2 is the half-life of the antibody, Ac is the amount of antibody remaining, and A0 is the original amount of antibody at day 1 and t is the elapsed time70. Where stated NCA PK model parameters were determined from the measured antibody concentrations in plasma using gPKPDsim for MatLab34. Following the final plasma sample collection on day 23, the mice were overdosed with tribromoethanol. Gauge needles were inserted into the trachea of each mouse to slowly inject 1mL PBS into the lungs before withdrawn 2 times. BALF samples were stored at 20C until analysis. Half-life experiments in WT Balb/c mice (Taconic Farms) (6 mice/group, 8 weeks old) were performed at Oslo University Hospital animal facility. NIP IgG1 WT and REW were administered i.v. at 5mg/kg and blood samples collected by puncture of the saphenous vein and collected using heparinized micro capillary pipettes at day 1, 2, 3, 4, 7, 8, 11, and 15 post injection. Half-life was calculated as above. The experiments were approved by the Norwegian Food Safety Authority.

96-well EIA/RIA plates were coated with anti-NIP IgG1 WT, anti-NIP IgG1 REW, anti-SARS-CoV-2 IgG1 WT and anti-SARS-CoV2 REW (mAb4) (diluted to 1g/mL/100l per well). In addition, mouse IgG from serum (Sigma-Aldrich, I5381) was coated in parallel (0.25g/mL) as a positive control for the detection antibody used. Then, plasma samples collected at all timepoints of the plasma half-life experiments, including pre-bleed samples, were diluted 1:200 and added to the plates followed by incubation for 1h at RT. Captured mouse IgG was detected using an AP-conjugate anti-mouse IgG (Fc-specific from goat (Sigma-Aldrich, A9316) (diluted 1:5000 in PBS/T/S) and visualized by addition of AP-substrate (10 ug/mL in diethanolamine buffer) (Sigma-Aldrich). Absorbance values were recorded at 405nm using a Sunrise Spectrophotometer (TECAN).

Homozygous B6.Cg-Fcgrttm1Dcr Tg(FcGRT)32Dcr/DcrJ mice (Tg32) (The Jackson Laboratory) (6 mice/group, 8 weeks old) were used. A mix of 3 female and 3 male mice was used per group. When sedated after intraperitoneal delivery of ZRF cocktail (250mg/mL of Zoletil Forte, 20mg/mL of Rompun, 50g/mL of Fentanyl), 10l of NIP IgG1 WT or REW diluted in PBS (2.23mg/kg) was given to each nostril followed by inbreath while lying on their backs. Blood was collected by puncture of the saphenous vein and collected using heparinized micro capillary pipettes 24h post administration and analyzed by ELISA. The experiment was performed at Oslo University Hospital animal facility and approved by the Norwegian Food Safety Authority.

Assayswere performed using Transwell filters (1.12cm2) with collagen coated polytetrafluoroethylene (PTFE) membranes and 0.4m pore size (Corning Costar). The filters were incubated ON in complete growth medium followed by seeding of 1.0106 T84 or 1.4106 MDCK-hFcRn cells per well. Transepithelial resistance (TEER) was monitored daily using a MILLICELL-ERS-2 volt-ohm meter (Millipore). The T84 cultures were grown for 45 days before reaching confluency with a TEER value of 10001200 x cm2 while MDCK-hFcRn were grown for 24h before reaching a TEER value of 600800 x cm2. Prior to experiments, the cells were starved for 1h in HBSS. Then 200nM (200l) of NIP-specific IgG1 variants were added to either the apical or basolateral reservoir and incubated at 37C for 4h before samples were taken from the opposite reservoir and analyzed by ELISA.

The cDNA fragment encoding amino acids 18541 of hemagglutinin (HA) from influenza A H1N1 (A/Puerto Rico/8/1934 (PR8)) was used to generateIgG1 Fc fragments with HA fused to the N-terminal end of one of the HCs. The HA cDNA was subcloned into the pFUSE-hIgG1-Fc2 expression vector (InvivoGen) to generate pFUSE-HA(PR8)-hIgG1-Fc2. Removal of the multiple cloning sites in the target vector generated pFUSE-naked-hIgG1-Fc2. Mutagenesis was then performed to introduce the knob-in-hole mutations. The knob mutation (T366Y) was introduced into pFUSE-HA(PR8)-hIgG1-Fc2, while the hole mutation (Y407T) was introduced into the pFUSE-naked-hIgG1-Fc construct either alone or in combination with the REW substitutions. The monovalent Fc fusions were produced in Expi293 cells by transient transfection adding a 2:1 ratio of the knob:hole constructs per the manufacturer instructions. The fusions were purified using a CaptureSelect FcXL affinity matrix (ThermoFisher) packed in a 5ml column (Repligen) per the manufacturer recommendations. Eluted fractions were collected, concentrated and buffer exchanged to 1xPBS using Amicon Ultra-30 spin columns (Merck). Monomeric fractions of the monovalent fusions were then isolated by SEC using a Superdex 200 Increase 10/300GL column (Cytiva Life Sciences) with an KTA Avant 25 instrument (Cytiva Life Sciences).

96-well EIA/RIA plates (Corning) were coated with a recombinant human albumin variant (8g/mL in PBS/ 100L per well) engineered to bind pH independently to human FcRn29. The plates were blocked with PBS/S and washed before recombinant soluble human FcRn-His was added and incubated at RT for 1h. Then, stated titrated amounts of monovalent HA Fc-fusions or anti-NIP IgG1 variants were diluted in PBS/T/S pH 6.0 or pH 7.4 and added to the plates. All remaining steps were performed using PBS/T/S pH 6.0 or pH 7.4 as dilution and wash buffers. Bound monovalent HA Fc fusions or anti-NIP IgG1 variants were detected by an anti-human IgG Fc specific AP-conjugated antibody from goat (Sigma-Aldrich, A9544) (diluted 1:5000 in PBS/T/S) and visualized by addition of p-nitrophenylphosphate (Merck) (10g/mL in diethanolamine buffer). Absorbance values were recorded at 405nm using a Sunrise plate-reader (TECAN).

The experimentswere performed at the Oslo University Hospital animal facility. Female homozygous B6.Cg-Fcgrttm1Dcr Tg(FcGRT)32Dcr/DcrJ mice (Tg32) aged 810 weeks (The Jackson Laboratory) (5 mice per group, 4 mice in the NaCl group) were used. Female mice were used due to housing considerations. At the day of vaccination, mice were anesthetized intraperitoneally with ZRF cocktail. When sedated, 10L of the vaccine mixtures was given in each nostril followed by inbreath while lying on their backs. Specifically, each mouse was given 20g CpG ODN 1826 Vaccigrade (Invivogen) mixed with 1.73g HA(H1N1)-Fc (WT or REW). After 3 weeks, each mouse was vaccinated in the same manner as above with 10% of the Fc fusions mixed with 20g CpG. The mice were challenged with a deadly dose (5x Lethal Dose 50) of influenza A H1N1 (A/Puerto Rico/8/1934 (PR8)) after 6 weeks. Specifically, mice were anesthetized and given virus i.n. as above. Weight loss was monitored daily or every second day after infection and the endpoint was set at 20% weight loss. If the endpoint was reached, mice were terminated by cervical dislocation or CO2 gas chamber. Plasma samples wereharvested by saphenous vein puncture 2 weeks after the boost to measure HA antibody titers. The experiments were approved by the Norwegian Food Safety Authority.

96-well EIA/RIA plates were coated with recombinant HA (H1N1 A/PR8) protein (1g/mL/100L per well) (Sino Biological). The wells were blocked with PBS/S and washed before addition of plasma samples diluted 1:1, 1:2, 1:4, 1:8, 1:16, 1:32, and 1:64 for 1h at RT. Bound HA specific mouse antibodies were detected using an AP-conjugated anti-mouse IgG Fc specific antibody from goat (Sigma-Aldrich, A9544) (diluted 1:4000 in PBS/T/S) and visualized by addition of AP-substrate (10g/mL in diethanolamine buffer). Absorbance values were measured at 405nm using a Sunrise Spectrophotometer (TECAN). PBS/S/T (pH 7.4) or PBS/T were used as dilution and washing buffer, respectively. Antibody titer was determined as the highest dilution factor for each mouse with a higher OD value than background, where the background is the mean absorbance of mice given NaCl plus 5x the standard error of the mean of the same observations.

An established ex vivo placental model was used39,71,72. Here, 10 g/ml of NIP-specific IgG1 variants mixed 1:1 with infliximab (anti-TNF, IgG1; Remicade) in a total volume of 100ml was added to the maternal perfusion reservoirs. Samples from the fetal reservoir were collected before the test proteins were added (0min) and from 2min after adding the antibodies (perfusion start) followed by the time points 60, 120, 180, 210, 240, 270, 300, 330 and 360min. Placentas from uncomplicated pregnancies resulting in vaginal birth or caesarean section were donated by women giving birth at Copenhagen University Hospital. To minimize variation, mothers who smoked, had diabetes or other pregnancy complications were excluded from the study. Only term placentas were included, and the project was approved by the ethical committees in the Communities of Copenhagen and Frederiksberg and the Danish Data Protection Agency. Informed consent was obtained in accordance with the Declaration of Helsinki.

Quantification offrom cellular experiments, in vivo studies and the ex vivo placental perfusion model was performed using ELISA. Recombinant mAb variants were captured on either BSA-NIP(25) (1g/mL/100L per well) (Biosearch Technologies), TNF- (1g/mL/100L per well) (Peprotech), recombinantly produced SARS-CoV-2 receptor binding domain (RBD) (Sino Biologics) (1g/mL/100L per well) or anti-human IgG Fc (Sigma-Aldrich, I2136) (1g/mL/100L per well). Captured mAb variants were detected by an APconjugated polyclonal anti-human IgG Fc specific Ab from goat (Sigma-Aldrich, A9544) (diluted 1:5000 in PBS/T/S) and visualized by addition of p-nitrophenylphosphate (Sigma-Aldrich) (10g/mL in diethanolamine buffer). Absorbance was recorded at 405nm using a Sunrise plate-reader (TECAN). PBS/S/T (pH 7.4) or PBS/T was used as dilution and washing buffers, respectively.

ELISAswere performed by capturing anti-NIP IgG1 variants (3000.023.4ng/mL) on BSA-NIP(16) (diluted to 1g/mL in PBS) (Biosearch technologies) coated in 96-well EIA/RIA plates (CorningCostar) or by randomly coating NIP IgG1 mAbs directly in wells (10g/mL). For antigen density experiments BSA-NIP(3), BSA-NIP(16) or BSA-NIP(80) (Norwegian Institute of Public Health) were coated at BSA concentrations of 2.5g/mL, 0.5g/mL and 0.1g/mL, respectively, to obtain different surface densities with the same number of total NIP molecules. NHS (diluted 1:200 in veronal buffer) (Complement Technologies), pure human C1q (diluted to 0.366g/mL in veronal buffer) (Complement Technologies) or pure mouse C1q (diluted to 0.366g/mL in veronal buffer) (Prospecbio) was added and the plates incubated at 37C for 30min. Bound C1q or deposited C3, C4 or C5 was detected using specific primary antibodies from rabbit (all from Dako/Agilent, A0135, A0062, A0065, A0056) (diluted 1:5000 in PBS/T/S) and a secondary HRP-conjugated anti-rabbit IgG antibody from donkey (Cytiva Life Sciences, NA935) (diluted 1:10.000 in PBS/T/S). Bound mouse C1q was detected by polyclonal anti-mouse C1q serum from goat (Creative Biolabs, CTA-P-023) (diluted 1:2000 in PBS/T/S) followed by detection using an anti-goat IgG AP-conjugated antibody from rabbit (Merck). Binding was visualized by addition of TMB substrate (Calbiochem) or AP-substrate (Merck) (10g/mL in diethanolamine buffer). The HRP reaction was terminated by adding 1M HCl. Detection of deposited TCC (C5bC9) was done using a biotinylated mouse monoclonal antibody specific for a C9 neoepitope exposed upon C5b binding (Diatec Monoclonals, DIA 011-01) (diluted 1:5000 in PBS/T/S) together with AP-conjugated streptavidin (diluted 1:5000 in PBS/T/S) (Cytiva Life Sciences) and visualized by addition of AP substrate (Sigma-Aldrich). For the spA competition ELISA, a 5-molar excess of spA (Sigma-Aldrich) was allowed to bind captured NIP IgG1 variants before addition of pure C1q. Absorbance values were recorded at either 450 (HRP) or 405 (AP) nm using a Sunrise plate-reader (TECAN). PBS/S was used as blocking buffer while PBS/S/T was used as dilution and washing buffers.

Solution phase complement assayswere performed by incubating anti-NIP IgG1 WT, REW, RGY, and PGLALA in NHS (Complement Technologies) at a concentration of 100g/mL for 1h at 37C. IgG complex formation and C4d concentrations were determined using the MicroVue CIC EIA and MicroVue C4d EIA kits (Quidel) following the manufacturer instructions.

Homozygous human FcRn transgenic mice (B6.Cg-Fcgrttm1Dcr Tg(FcGRT)32Dcr/DcrJ) (Tg32) (The Jackson Laboratory) were injected i.v. with 10mg/kg anti-NIP IgG1 WT, REW, and RGY variants (3 mice per group, age 810 weeks, 2 female and 1 male per group) followed by terminal bleeding and plasmacollection 24hpost-administration. In addition, plasma from 3 non-treated mice were collected. The plasma levels of anti-NIP IgG1 WT, REW and RGY were quantified by the anti-human Fc ELISA described above by interpolation to 12-point standard curves of each individual protein (10000.0056g/mL). Binding between anti-NIP IgGs and mouse C1q in the plasma samples was measured by coating anti-mouse C1q serum from goat (Creative Biolabs, CTA-P-023) (diluted 1:500 in PBS) in 96-well EIA/RIA plates followed by blocking for 2h ar RT. Then human IgG concentration normalized plasma samples were added and incubated for 1h at RT. Bound human IgG1 variants were detected by a goat anti-human IgG Fc specific AP-conjugated antibody (Sigma-Aldrich A5944) (diluted 1:5000 in PBS), and binding visualized by addition of AP-substrate (10g/mL in diethanolamine buffer) (Sigma-Aldrich). Absorbance values were recorded at 405nm using a Sunrise Spectrophotometer (TECAN). PBS/S was used as blocking buffer, PBS/S/T was used as dilution buffer and PBS/T was used as wash buffer in between each step. Levels of mouse C3a in human IgG concentration normalized plasma samples were measured using TECO Mouse C3a assay kit (Quidel) following the manufacturers instructions.

Raji, WSU-NHL, DOHH2, SU-DHL-4 cells were washed in 10mL HBSS and resuspended to 1.0107 cells/mL in HBSS before stained with 1M Calcein-AM (Merck) for 20min at RT. The cells were then washed twice with 10mL HBSS and diluted in HBSS to a density of 1.0106 cells/mL before 50 L was added to 96-well V-bottom plates (5.0104 cells/well) together with 25L NHS (Complement Technologies) (25% final concentration) and 25l anti-CD20 IgG1 variants (0.74g/mL final concentration). 50L RIPA buffer (ThermoFisher) instead of antibodies and NHS was used to determine maximum lysis of the target cells. Control samples containing 25L HBSS+50 L cells and 25L NHS were included to account for background. The plates were incubated at 37C/5% CO2 for 1h before centrifuged at 1314g for 5min. 50l supernatant was then transferred to black clear bottom optical 96-well Viewplates (Perkin Elmer) and fluorescent intensity was determined at 485nm excitation/510nm emission using an Envision plate reader (Perkin Elmer). Percent antibody-mediated lysis was calculated relative to the max lysis control.

GFP-expressing Newman spa/sbi or Newman WT (7.5105 CFU) was incubated with human monoclonal anti-WTA (4497) IgG1 WT, REW, or PGLALA, and 1% IgG/IgM serum in RPMI+0.05% HSA (RPMI-HSA), for 15min at 37C with shaking (700rpm), in a round-bottom microplate. Bacteria were then incubated with freshly isolated human neutrophils (7.5104), that were purified from blood of healthy donors by the Ficoll/Histopaque density gradient method73, for another 15min at 37C with shaking. All samples were fixed with 1% paraformaldehyde in RPMI-HSA. The binding/internalization of GFP bacteria to the neutrophils was detected using flow cytometry (BD FACSVerse), and data were analyzed based on forward/side scatter gating of neutrophils using FlowJo software. The use of human neutrophils was approved by Ethics Committee NedMec under informed consent from healthy donors.

Human neutrophils were freshly isolated from healthy donor blood using the Ficoll-Histopaque gradient method74. Phagocytosis assay was performed in a round-bottom 96-well plate and neutrophil-associated fluorescent bacteria were analyzed by flow cytometry. FITC-labeled S. pneumoniae were opsonized by pre-incubation with 2-fold serial dilutions of the antibodies in IgG/IgM-depleted serum75 as complement source, in RPMI-HSA for 20min at 37C. Subsequently, neutrophils were added in a 1:10 cell to bacteria ratio and phagocytosis was allowed for 15 (S. aureus) or 30min (S. pneumoniae) at 37C on a shaker (650rpm). Ice-cold 1% PFA in RPMI-HSA was added to stop the reaction. Samples were measured by flow cytometry, and % of positive cells and mean fluorescence values were determined for gated neutrophils74. The use of human neutrophils was approved by Ethics Committee NedMec under informed consent from healthy donors.

Bacteria harvested from ON cultures were re-passaged on chocolate agar, grown for 6h, and suspended in HBSS containing 0.15mM CaCl2 and 1mM MgCl2 (HBSS++). About 2.000 CFU of suspended bacteria were incubated with human complement (IgG and IgM depleted normal human serum; Pel-Freez) and titrated amounts of 2C7 IgG variants. The final reaction volumes were maintained at 150L. Aliquots of 25L of the reaction mixtures were plated onto chocolate agar in duplicates at the beginning of the assay (t0) and again after incubation at 37C for 30min (t30). Survival was calculated as the number of CFUs at t30 relative to t0. Binding of Humab 2C7 variants to the surface of N. gonorrhoeae was measured performed by flow cytometry76.

Anti-NIP IgG1 variants (2g/mL in PBS) were captured on BSA-NIP(25) (1 g/mL in PBS) (Biosearch Technologies) coated in 96-well EIA/RIA plates (CorningCostar) for 1h at RT. Biotinylated human FcRI, FcRIIa-H131, FcRIIa-R131, FcRIIb, FcRIIIA-V158 and FcRIIA-F158 (10g/mL) (Sino Biological) were then added and incubated for 1h at RT. Bound receptors were detected with streptavidin-AP (diluted 1:500 in PBS/T/S) (Roche Diagnostics). Biotinylated FcRIIIb (1 g/mL in PBS) was pre-incubated with streptavidin-AP to increase the detection sensitivity. The 405nm absorption spectrum was recorded using a Sunrise plate-reader (TECAN). PBS/S (pH 7.4) was used as blocking buffer while PBS/S/T (pH 7.4) and PBS/T was used as dilution and washing buffers, respectively. A Biacore T200 instrument (Cytiva Life Sciences) was used to obtain SPR binding curves of NIP IgG1 variants to biotinylated human FcRI, FcRIIa-H131, FcRIIa-R131, FcRIIb, FcRIIIA-V158 and FcRIIA-F158 (Sino Biological). The receptors were captured on Series S SA chips at 200 RU and binding to the low affinity FcRs recorded by single injections of 100nM anti-NIP IgG1 variants at a flow rate of 10 L/min and a contact time of 60s. For high affinity FcRI, 50nM anti-NIP IgG1 was injected at a flow rate of 40L/min with a contact time of 30s. The maximum binding responses were normalized to 100 RU using the BIAevaluation software to allow overlay of the sensorgrams.

ADCCwas performed byan [51Cr] release assay50. MNCs, anti-CD20 IgG1 variants (0.01100nM) and medium were added to round-bottom microtiter plates (Nunc, Rochester, NY, USA). Assays were started by addition of effector and target cells at E:T ratio 40:1 (200000:5000). After 3h at 37C, [51Cr] release from 5 parallel samples was measured. Percentage of [51Cr] release was calculated using the formula: % lysis=(experimental cpm basal cpm)/(maximal cpm basal cpm) 100; maximal [51Cr] release was determined by adding Triton-X (2% final concentration) to target cells, and basal release measured in the absence of antibodies. The use of human MNCs were approved by the Ethics Committee of Kiel University under informed consent from healthy donors.

Monocyte derived macrophages were generated by letting them attach to the cell culture flask for 30min at 37C in monocyte-attachment medium (PromoCell). The monocyte attachment medium was then removed, and the cell culture flasks were washed with 1xPBS before the monocytes were cultured in X-VIVO 15 media (Lonza) with 25g/mL streptomycin and 25U/mL penicillin (ThermoFisher). For macrophage generation 50ng/mL M-CSF (PeproTech) was added every 3 days for at least 9 days. Real time, automated ADCP was measured by fluorescence microscopy using Incucyte (Sartorius). Target cells were labeled with 0.5g/mL pHrodo dye (ThermoFisher) for 1h at room temperature. M-CSF derived macrophages were added as effector cells using an effector/target cell ratio of 1:1 (40.000:40.000). The assay was started by adding anti-CD20 mAb2 antibody variants (100nM). Then, ADCP was measured for 10h every 10min at 37C. ADCP was determined as red counts per image, which correlate to the number of tumor cells engulfed by the macrophages. Analysis was performed using Top-Hat segmentation, 2 red calibrated units (RCU) as threshold and 20m radius. The minimum intensity was set to 88.5. Under these conditions control samples (pHrodo cells only) started at 10 counts at time point 0. The use of human MNCs was approved by the Ethics Committee of Kiel University under informed consent from healthy donors.

An established CDC 51Cr assay was used77. Target cells per condition were labeled with 200Ci [51Cr] for 2h. To the Raji target cells (1.0104 per condition), 25% v/v freshly drawn human serum was added as source of complement in the presence of anti-CD20 IgG1 variants (0.01100nM). The percentage of cellular cytotoxicity was calculated using the same formula as for 51Cr ADCC assays. The use of human MNCs were approved by the Ethics Committee of Kiel University under informed consent from healthy donors.

Protein samples (2g) were analyzed on 12% Bis-Tris Bolt SDS-PAGE gels (ThermoFisher) with Bolt MES SDS running buffer (ThermoFisher). ASpectra Multicolor Broad Range Protein Ladder (ThermoFisher) was used as standard, and the gels were stained with Comassie Brilliant Blue (BioRad).

Analytical SECwas performed by applying 20g of each anti-NIP IgG variant to a Superdex 200 Increase 3.2/300 analytical SEC column (Cytiva Lifesciences) at a flow rate of 0.05mL/min using an AKTA FPLC instrument (Cytiva Life sciences). Data was normalized to relative fluorescence for clarity.

DSFwas performed either by a dye-based method using a Lightcycler RT-PCR instrument (Roche) or label-free using a Prometheus NT.48 nanoDSF instrument (Nanotemper Technologies GmbH). For dye-based DSF, SYPO Orange (Sigma-Aldrich) was used at a dilution of 1:1000 with a protein concentration 0.1mg/mL in a final volume of 25L. All samples were run in triplicates in 96-well Lightcycler 480 multiwell plates. The peaks of excitation and emission filters were used and the instrument programed to raise the temperature from 25C to 95C after a stabilization time of 10min at 25C. Data was collected every 0.5C. Data transformation and analysis were performed using a DSF analysis protocol78. For label-free DSF, 1mg/mL samples were drawn into capillaries in triplicates. The instrument was set to gradually increase the temperature(2 C/min) from 25C to 95C. The melting temperature (Tm C) in which half of the proteins were unfolded was determined by deducing the first derivative in the PR. ThermoControl software.

Recombinantly produced IgG1 WT and REW Fc fragments were coated (1g/mL/100uL per well) in 96-well EIA/RIA plates (CorningCostar) for 1h at RT. Then Rh+ human serum (Lee BioSolutions) was diluted 1:11:106-fold in PBS, added to the plates and incubated for 1h at RT. NHS was added at 1:1 dilution as a negative control. The plates were washed 4 times with PBS/T/S. Serum antibodies bound to the coated Fc fragments were detected using a pan anti-human IgG light chain antibody from rabbit (ReMab Biosciences, 32-1031-00) (diluted 1:3000 in PBS/T/S) and visualized by addition of anti-rabbit IgG-HRP (Cytiva Life Sciences, NA935) (diluted 1:3000 in PBS/T/S). The coating efficacy of WT and REW Fc fragments were controlled using an AP conjugated polyclonal anti-human IgG (Fc specific) antibody from goat (Sigma-Aldrich, A5944) (diluted 1:5000 in PBS/T/S). The 450nm or 405nm absorbance values were recorded using a Sunrise plate reader (Tecan).

was performed using a human FcRn retention column and a KTA Avant 25 instrument (Cytiva Life Sciences). 100g NIP IgG1 variants were injected over the column and allowed to bind FcRn at pH 6.0 before being subjected to an increasingly more basic pH gradient (pH 6.0 to 8.8) over 110min by mixing of two eluent buffers (20mM MES sodium salt, 140mM NaCl, pH 6.0 and 20mM Tris/HCl, 140 NaCl, pH 8.8). The pH was continuously recorded by a pH detector (Cytiva Life Sciences).

Titrated amounts of NIP IgG1 WT or REW (1000.00.78ng/mL) was captured on BSA-NIP(25) (diluted to 1g/mL in PBS) coated in 96-well EIA/RIA plates (CorningCostar) pre-blocked with PBS/S. Then AP conjugated Protein A from S. aureus(Sigma-Aldrich) was diluted 1:5000 in PBS/T/S before visualization of binding by addition of AP substrate (diluted to 10g/mL in diethanolamine). The 405nm absorption values were recorded using a Sunrise spectrophotometer (TECAN).

Liquid chromatography tandem mass spectrometrywas performed by mixing 50l of each IgG1 variant (1mg/mL) with 1g trypsin dissolved in 100l 50mM ammonium bicarbonate (pH 7.8) and incubated ON at 37C. Peptides were isolated by collecting the flow-through from centrifugal filters and transferred to Eppendorf tubes before drying using SpeedVac (HetMaxi dry). Dried samples were dissolved in 20l 0.1% formic acid, sonicated for 30s and centrifuged for 10min at 16,100g. 10l of each samples was transferred to new vials, and reverse phase (C18) nano outline liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of proteolytic peptides was performed using a system of two Agilent 1200 HPLC binary pumps (nano and capillary) with an autosampler, column heater and integrated switching valve. The system was coupled via a nanoelectronspray ion spource to an LTQ Orbitrap mass spectrometer (ThermoFisher). For the analysis 6l peptide solution was injected into the 50.3mm extraction column filled with Zorbax 300SB-C18 of 5m particle size (Agilent Technologies). After washing for 5min with 0.1% formic acid (v/v) and 3% acetonitrile (v/v) at a flow rate of 10l/min, the integrated switching valve was activated and peptides were eluted in the back-flush mode from the extraction column onto a 1500.075mm C18, 2m resin column (GlycoproSIL C18-80, Glycopromass). The mobile phase consisted of acetonitrile and mass spectroscopy-grade water both containing 0.1% formic acid. Chromatographic separation was achieved using a binary gradient from 5 to 55% of acetonitrile in water for 1h with a flow rate of 0.2l/min. Mass spectra were acquired in the positive ion mode applying a data-dependent automatic switch between survey scan and MS/MS acquisition. Peptide samples were analyzed with a high-energy collisional dissociation (HCD) fragmentation method with normalized collision energy at 25 and 41, acquiring one Orbitrap survey scan in the mass range of m/z 3002000 followed by MS/MS of the three most intense ions in the Orbitrap (R7500). The target value in the LTQ-Orbitrap was 1 million for survey scan at a resolution of 30,000 at m/z 400 using lock masses for recalibration to improve the mass accuracy of precursor ions. Ion selection threshold was 500 counts. Selected sequenced ions were dynamically excluded for 180s. Data analysis was performed on Xcalibur v2.0. MS/MS spectra for all glycopeptides and thesewere extracted by oxonium ion search; 204.086 (N-acetylhexosamine) and 366.1388 (N-acetylhexosamine-hexose) were used. HCD fragmentation with normalized collision energy at 25 was used to detect the glycans, and the peptide mass was detected for the IgG glycopeptides. Extracted ion chromatogram for target glycopeptides (EEQYNSTYR and the miscleaved TKPREEQYNSTYR with all different glycan masses) were extracted with 10ppm accuracy and MS/MS spectra were manually verified. HCD fragmentation with normalized collision energy at 41 was used to detect the peptide sequence and to verify that the peptide mass corresponded to the correct peptide sequence. The area under the curve for all extracted glycopeptides was calculated and the percentage ratio for each glycoform was determined.

Prediction of T-cell epitopes was performed using NetMHC4.179 with 9mer peptides against representative human HLA supertypes using the default rank thresholds for strong (0.5) and weak (2.0) binders. B-cell epitope prediction was performed using the Immune Database analysis resource antibody epitope prediction tool80 with a threshold of 0.5.

Figures and statistical analyses were prepared using GraphPad Prism (GraphPad Software).

Further information on research design is available in theNature Portfolio Reporting Summary linked to this article.

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Human IgG Fc-engineering for enhanced plasma half-life, mucosal distribution and killing of cancer cells and bacteria - Nature.com

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Chancellor Mnookin statement on engineering building, changes to reciprocity – University of Wisconsin-Madison

Chancellor Jennifer Mnookin released the following statement on Wednesday, March 6 following a ceremony in which Governor Tony Evers signed bills authorizing a new engineering building, capital projects and reciprocity changes.

I want to express my deep appreciation to both Governor Evers and the State Legislature for supporting and approving vitally important priorities for UWMadison and the Universities of Wisconsin. These bipartisan actions strengthen our flagship university and the entire system while also deepening our partnership with the state in critical areas such as innovation, workforce and economic development across Wisconsin. Current and future investment in our infrastructure is vitally important, as we strive to meet these needs and offer a world-class education.

The approval of a new building for UWMadisons College of Engineering is a tremendous step forward for our campus, allowing us to educate about 1,000 additional undergraduates in engineering at a time when Wisconsin employers urgently need more engineers, and expanding our engineering facultys ability to do innovative, life-changing research.

This project would not be possible without the broad coalition of CEOs, industry partners and devoted alumni who spoke out about the need for a state-of-the-art facility to spark innovation and educate the next generations of engineers, as well as those who have come forward with generous philanthropy to help support this project. I continue to be grateful for your advocacy and support.

I am also thankful for the approval of renovation projects in Kronshage, Jorns and Humphrey residence halls, and for important campus utilities upgrades and other key building projects. These improvements will enhance the student experience at UWMadison and address campus infrastructure needs.

Finally, the changes approved to Minnesota-Wisconsin tuition reciprocity will provide millions in needed tuition dollars to Universities of Wisconsin institutions, including ours, that had previously been deposited in the states General Fund. Under the new tuition reciprocity bill, that money would instead be retained by the UW institutions providing the education. This will have a significant impact for campuses, including UWMadison, and allow for more investment in educating the students we serve from both states.

I look forward to continued cooperation with the governor, legislative leaders, the Board of Regents and Universities of Wisconsin leadership as we look toward working together to support our students, our research enterprise, and our campus infrastructure in future budget processes.

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Chancellor Mnookin statement on engineering building, changes to reciprocity - University of Wisconsin-Madison

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Development of NK cell-based cancer immunotherapies through receptor engineering | Cellular & Molecular Immunology – Nature.com

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Wyomissing tops Carver Engineering and Science in PIAA Class 4A girls basketball first-round game – Reading Eagle

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Spirax-Sarco Engineering (LON:SPX) PT Raised to GBX 9800 – Defense World

Spirax-Sarco Engineering (LON:SPX Get Free Report) had its price objective upped by research analysts at Berenberg Bank from GBX 8,800 ($111.69) to GBX 9,800 ($124.38) in a research report issued to clients and investors on Friday, Marketbeat.com reports. The firm currently has a hold rating on the stock. Berenberg Banks price target indicates a potential downside of 7.37% from the stocks previous close.

Several other equities research analysts have also issued reports on the stock. Shore Capital reissued a sell rating on shares of Spirax-Sarco Engineering in a research note on Monday, December 18th. Jefferies Financial Group raised shares of Spirax-Sarco Engineering to a hold rating and set a GBX 9,740 ($123.62) target price on the stock in a research note on Wednesday, January 31st. Finally, Numis Securities reissued a sell rating on shares of Spirax-Sarco Engineering in a research note on Thursday. Two investment analysts have rated the stock with a sell rating, two have issued a hold rating and one has assigned a buy rating to the companys stock. Based on data from MarketBeat, the company has an average rating of Hold and a consensus target price of 102.13 ($129.63).

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Spirax-Sarco Engineering plc provides engineered solutions for the users of industrial and commercial steam systems, electrical heating and temperature management systems, and pumps and fluid path technologies. The company offers industrial and commercial steam systems, including condensate management, controls, and thermal energy management products and solutions for heating, curing, cooking, drying, cleaning, sterilizing, space heating, humidifying, vacuum packing, and producing hot water; electrical process heating and temperature management solutions, such as industrial heaters and systems, heat tracing, and various component technologies for industrial processes; and peristaltic and niche pumps and associated fluid path technologies, including pumps, tubing, and specialty filling systems and products for single-use applications.

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A Chemical Engineer Learns New Lessons From The Bhagavad Gita – India Currents

Encyclopedia Brittanica to the Bhagavad Gita

Iarrived in the United States in 1963 and enrolled at the University of Alabama to study Chemical Engineering. Thats the year when Vivian Malone, an African American student, was first admitted to the University of Alabama.In the early sixties, there were still separate restrooms and benches on local buses reserved for African Americans in Alabama, but we Indian students didnt face significant problems.

Today, I am an81-year-old Indian-American academicwho has lived in the United States for sixty years. I served on the University of Louisville faculty in Chemical Engineering from 1975 to 2008 and served as Department Chair during 1985-90.

In the eighties, I had a colleague a Cypriot Greek-American called Phoebus M. Christopher. He and I would often discuss the rise and decline of cultures. Id say that the phenomenon of rise and decline is cyclical, and he would respond by saying as scientists, we must find evidence to support it.

We found corroborating evidence for our theory in all 23 volumes of the 1993 edition ofEncyclopedia Britannica. It had narratives about individuals from specific cultures in Greece, Great Britain, Germany, and the United States) with data pointing, for example, to the rise and decline of Greece. It also pointed to ominous signs for the United States, Great Britain, and Germany.

In 1993, Phoebus and I self-published an article, On the Cyclical Nature of Excellence. I was invited to make a presentation on the topic at the Chamber of Commerce & Industries in Pune in February 1994, and at the end of my presentation, someone in the audience remarked in Marathi, You are not telling us anything new. These concepts are already mentioned in the Bhagavad Gita.

At the time, I had no idea what the Bhagvad Gita was all about but in the ensuing decade, it became my bedside reading.

As it turns out, numerous lessons in the eighteen chapters of the Gita can transform individuals and societies. In 2015, Jim Kowall and I published the book, The Nature of Ultimate Reality and How It Can Transform Our World (amazon). It took us 18 chapters to fully explain the scientific framework for individual and societal transformation. Jim is a triple board-certified American physician who also holds a doctorate in Theoretical Physics.

All civilizations rise and decline as a natural course; the rise and decline of nations is cyclical.

The rise and decline of civilizations occur due to the transformation of the three components of the mindset, S, R, and T over time (S stands for Sattvic, R stands for Rajasic, and T stands for Tamasic.)

As the S component of a society increases, society rises, but S cannot increase indefinitely. When it reaches its peak, the T component takes over and the society begins to decline. The T component cannot increase indefinitely either, and, when it reaches its peak, the S component takes over and the society begins to rise again. This transformation of the mindset leads to the repeated rise and decline of societies over thousands of years.

The Bhagavad Gita does not explain why such a transformation of the mindset should occur, but we can be certain it does. Going by the societal polarization, the societal level of internal and emotional excellence may have taken a hit in the last decade.There is no logical explanation for why.

The way to postpone decline and accelerate rise is to enhance the societal level of emotional excellence, and meditation is the pathway to progress.

In the absence of an adequate level of emotional excellence, the best of the best strategies for achieving exemplary performance do not and cannot produce the expected results.Boost emotional excellence and the performance will zoom.

In 2019, I published an article, The Secret of Exemplary Performance, inInsightsto explain these ideas further. The pursuit of higher levels of emotional excellence is a well-posed scientific problem but it is not an intellectual exercise. A person with a high level of emotional excellence remains centered in the face of extenuating circumstances that are part of life.

For example, if you stub your toe, what is your instant (reflex) reaction? Or, if you are driving, mindful of all the traffic rules, and someone cuts into your lane nearly causing an accident, what is your reflex reaction?

The lesson here is that required positive changes have to come from within, and meditation is the pathway to progress. Progress can be audited since emotions can now be measured.

A few years ago, I made presentations at several institutions in India and measured the emotional state (stress level and energy) of participants. My stress parameter was far lower and my energy level was much higher than those of the participants from more than six institutions in India.

Over the years certain discoveries have come to me that have changed my life. I owe them to contemplation and meditation. No chemical engineering subject, or any science, could have led to these discoveries.

I feel the lessons they teach will bring myriad benefits to individuals and organizations, accelerate Indias rise, and postpone Americas inevitable decline.

Contemplation can lead to discoveries that are in the domain of existing knowledge. Such discoveries amount to connecting the dots in the ocean of existing knowledge, and I call them Type I discoveries. When the focus of attention is further enhanced, as in deep meditation or prayer, new discoveries can occur, which are not possible based on existing knowledge. In Sanskrit, such discoveries go by the name, Shruti, meaning revealed/heard, and I refer to them as Type II discoveries.

In ancient times, Indian sages made profound Type II discoveries, such as the Vedas and Upanishads, by transcending reason. An example of Type II discoveries in modern times is some of the work of the mathematician, S. Ramanujan.

Transcending reason through meditation can lead to new discoveries in the hands of researchers for the solution of some of the most intractable problems facing humanity such as global warming, renewable energy, desalination, etc.

Who would have thought Chemical Engineering principles would someday lead to a framework for external and internal excellence toward a better and more peaceful world?

Image: A painting of Vyasa at Mana. By Nahsik01 Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=53486001. wikimedia.org/w/index.php?curid=122704369. Vyasa. (2023, September 19). InWikipedia. https://simple.wikipedia.org/wiki/Vyasa

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