The Whitney Museum has been gifted 400 works by the famed pop artist, while the Smithsonian Archives of American Art will receive half a million documents

The insect eggshell is a multifunctional structure with several important roles, including generating an entry point for sperm via the micropyle before oviposition, serving as an oviposition substrate attachment surface, and functioning as a protective layer during embryo development. Eggshell proteins play major roles in eggshell tanning and hardening following oviposition and provide molecular cues that define dorsal–ventral axis formation. Precise eggshell formation during ovarian follicle maturation is critical for normal embryo development and the synthesis of a defective eggshell often gives rise to inviable embryos. Therefore, simple and accurate methods for identifying eggshell proteins will facilitate our understanding of the molecular pathways regulating eggshell formation and the mechanisms underlying normal embryo development. This protocol describes how to isolate and enrich eggshells from mature oocytes of Aedes aegypti mosquitoes and how to extract their eggshell proteins for liquid chromatography with tandem mass spectrometry (LC–MS/MS) proteomic analysis. Although this methodology was developed for studying mosquito eggshells, it may be applicable to eggs from a variety of insects. Mosquitoes are ideal model organisms for this study as their ovarian follicle development and eggshell formation are meticulously regulated by blood feeding and their follicles develop synchronously throughout oogenesis in a time-dependent manner.

Mar del Plata, Argentinen :: Schiffsmitarbeiter besuchen ein christliches Suchtrehabilitationszentrum und erinnern die Frauen dort daran, dass sie in Gottes Augen wertvoll sind

A newly discovered protein naturally houses an unusual binding site that can differentiate between rare earth elements, and researchers at Penn State have made it even better. Rare earth elements are key components used in everything from modern tech to gasoline production. The protein, called LanD, enriches neodymium and praseodymium over other similar rare earth elements and has the potential to revolutionize industrial mining, researchers said.

A team of researchers from Penn State College of Medicine found that misfolded versions of a protein exhibit tissue-specific toxicity linked to cell degeneration that may be linked to the development of amyotrophic lateral sclerosis (ALS). The study is a step forward in understanding the physiological processes that may contribute to ALS development and progression and identifies a potential therapeutic target, the researchers said.

The Penn State DuBois Office of Student Engagement will welcome students and members of the public to Hiller Auditorium on Thursday, Oct. 3, to hear from leadership speaker Tom Krieglstein.

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Hundreds of members of Manipur's Meitei community came out on the streets in Delhi and other cities in a silent candlelight protest, seeking the safety of six people who have been missing since an encounter broke out between suspected Kuki militants.

Hundreds of members of Manipur's Meitei community came out on the streets in Delhi and other cities in a silent candlelight protest, seeking the safety of six people who have been missing since an encounter broke out between suspected Kuki militants.

Prateik clarified that it was not money and recognition that pushed him into taking drugs, as people often think

In her latest post, Bhagyashree unveiled her favourite protein-packed snack, a creamy hummus that works perfectly as a butter substitute in sandwiches.

Hello All,

Following is the einstein's puzzle solved by cadence Incisive92  (solved in less than 3 seconds -> FAST!!!!!!)

Thanks,

Vinay Honnavara

Verification engineer at Keyu Tech

vinayh@keyutech.com

 // Author: Vinay Honnavara

// Einstein formulated this problem : he said that only 2% in the world can solve this problem
// There are 5 different parameters each with 5 different attributes
// The following is the problem

// -> In a street there are five houses, painted five different colors (RED, GREEN, BLUE, YELLOW, WHITE)

// -> In each house lives a person of different nationality (GERMAN, NORWEGIAN, SWEDEN, DANISH, BRITAIN)

// -> These five homeowners each drink a different kind of beverage (TEA, WATER, MILK, COFFEE, BEER),

// -> smoke different brand of cigar (DUNHILL, PRINCE, BLUE MASTER, BLENDS, PALL MALL)

// -> and keep a different pet (BIRD, CATS, DOGS, FISH, HORSES)


///////////////////////////////////////////////////////////////////////////////////////
// *************** Einstein's riddle is: Who owns the fish? ***************************
///////////////////////////////////////////////////////////////////////////////////////

/*
Necessary clues:

1. The British man lives in a red house.
2. The Swedish man keeps dogs as pets.
3. The Danish man drinks tea.
4. The Green house is next to, and on the left of the White house.
5. The owner of the Green house drinks coffee.
6. The person who smokes Pall Mall rears birds.
7. The owner of the Yellow house smokes Dunhill.
8. The man living in the center house drinks milk.
9. The Norwegian lives in the first house.
10. The man who smokes Blends lives next to the one who keeps cats.
11. The man who keeps horses lives next to the man who smokes Dunhill.
12. The man who smokes Blue Master drinks beer.
13. The German smokes Prince.
14. The Norwegian lives next to the blue house.
15. The Blends smoker lives next to the one who drinks water.
*/




typedef enum bit [2:0]  {red, green, blue, yellow, white} house_color_type;
typedef enum bit [2:0]  {german, norwegian, brit, dane, swede} nationality_type;
typedef enum bit [2:0]  {coffee, milk, water, beer, tea} beverage_type;
typedef enum bit [2:0]  {dunhill, prince, blue_master, blends, pall_mall} cigar_type;
typedef enum bit [2:0]  {birds, cats, fish, dogs, horses} pet_type;




class Einstein_problem;

    rand house_color_type house_color[5];
    rand nationality_type nationality[5];
    rand beverage_type beverage[5];
    rand cigar_type cigar[5];
    rand pet_type pet[5];
        rand int arr[5];
    
    constraint einstein_riddle_solver {
    
        
    
        foreach (house_color[i])
            foreach (house_color[j])
               if (i != j)
                house_color[i] != house_color[j];
        foreach (nationality[i])
            foreach (nationality[j])
               if (i != j)
                nationality[i] != nationality[j];
        foreach (beverage[i])
            foreach (beverage[j])
               if (i != j)
                beverage[i] != beverage[j];
        foreach (cigar[i])
            foreach (cigar[j])
               if (i != j)
                cigar[i] != cigar[j];
        foreach (pet[i])
            foreach (pet[j])
               if (i != j)
                pet[i] != pet[j];
    
    
        //1) The British man lives in a red house.
        foreach(nationality[i])
                (nationality[i] == brit) -> (house_color[i] == red);
                
        
        //2) The Swedish man keeps dogs as pets.
        foreach(nationality[i])
                (nationality[i] == swede) -> (pet[i] == dogs);
                
                
        //3) The Danish man drinks tea.        
        foreach(nationality[i])
                (nationality[i] == dane) -> (beverage[i] == tea);
        
        
        //4) The Green house is next to, and on the left of the White house.
        foreach(house_color[i])        
                 if (i<4)
                    (house_color[i] == green) -> (house_color[i+1] == white);
        
        
        //5) The owner of the Green house drinks coffee.
        foreach(house_color[i])
                (house_color[i] == green) -> (beverage[i] == coffee);
                
        
        //6) The person who smokes Pall Mall rears birds.
        foreach(cigar[i])
                (cigar[i] == pall_mall) -> (pet[i] == birds);
        
        
        //7) The owner of the Yellow house smokes Dunhill.
        foreach(house_color[i])
                (house_color[i] == yellow) -> (cigar[i] == dunhill);
        
        
        //8) The man living in the center house drinks milk.
        foreach(house_color[i])
                if (i==2) // i==2 implies the center house (0,1,2,3,4) 2 is the center
                    beverage[i] == milk;
        
        
        
        //9) The Norwegian lives in the first house.
        foreach(nationality[i])        
                if (i==0) // i==0 is the first house
                    nationality[i] == norwegian;
        
        
        
        //10) The man who smokes Blends lives next to the one who keeps cats.
        foreach(cigar[i])        
                if (i==0) // if the man who smokes blends lives in the first house then the person with cats will be in the second
                    (cigar[i] == blends) -> (pet[i+1] == cats);
        
        foreach(cigar[i])        
                if (i>0 && i<4) // if the man is not at the ends he can be on either side
                    (cigar[i] == blends) -> (pet[i-1] == cats) || (pet[i+1] == cats);
        
        foreach(cigar[i])        
                if (i==4) // if the man is at the last
                    (cigar[i] == blends) -> (pet[i-1] == cats);
        
        foreach(cigar[i])        
                if (i==4)
                    (pet[i] == cats) -> (cigar[i-1] == blends);
        
        
        //11) The man who keeps horses lives next to the man who smokes Dunhill.
        foreach(pet[i])
                if (i==0) // similar to the last case
                    (pet[i] == horses) -> (cigar[i+1] == dunhill);
        
        foreach(pet[i])        
                if (i>0 & i<4)
                    (pet[i] == horses) -> (cigar[i-1] == dunhill) || (cigar[i+1] == dunhill);
                    
        foreach(pet[i])        
                if (i==4)
                    (pet[i] == horses) -> (cigar[i-1] == dunhill);
                    


        //12) The man who smokes Blue Master drinks beer.
        foreach(cigar[i])
                (cigar[i] == blue_master) -> (beverage[i] == beer);
        
        
        //13) The German smokes Prince.
        foreach(nationality[i])        
                (nationality[i] == german) -> (cigar[i] == prince);
        

        //14) The Norwegian lives next to the blue house.
        foreach(nationality[i])
                if (i==0)
                    (nationality[i] == norwegian) -> (house_color[i+1] == blue);
        
        foreach(nationality[i])        
                if (i>0 & i<4)
                    (nationality[i] == norwegian) -> (house_color[i-1] == blue) || (house_color[i+1] == blue);
        
        foreach(nationality[i])        
                if (i==4)
                    (nationality[i] == norwegian) -> (house_color[i-1] == blue);
        

        //15) The Blends smoker lives next to the one who drinks water.            
        foreach(cigar[i])            
                if (i==0)
                    (cigar[i] == blends) -> (beverage[i+1] == water);
        
        foreach(cigar[i])        
                if (i>0 & i<4)
                    (cigar[i] == blends) -> (beverage[i-1] == water) || (beverage[i+1] == water);
                    
        foreach(cigar[i])        
                if (i==4)
                    (cigar[i] == blends) -> (beverage[i-1] == water);
        
    } // end of the constraint block
    


    // display all the attributes
    task display ;
        foreach (house_color[i])
            begin
                $display("HOUSE : %s",house_color[i].name());
            end
        foreach (nationality[i])
            begin
                $display("NATIONALITY : %s",nationality[i].name());
            end
        foreach (beverage[i])
            begin
                $display("BEVERAGE : %s",beverage[i].name());
            end
        foreach (cigar[i])
            begin
                $display("CIGAR: %s",cigar[i].name());
            end
        foreach (pet[i])
            begin
                $display("PET : %s",pet[i].name());
            end
        foreach (pet[i])
            if (pet[i] == fish)
                $display("THE ANSWER TO THE RIDDLE : The %s has %s ", nationality[i].name(), pet[i].name());
    
    endtask // end display
    
    
endclass




program main ;

    initial
        begin
            Einstein_problem ep;
            ep = new();
            if(!ep.randomize())
                $display("ERROR");
            ep.display();
        end
endprogram // end of main

        

boston — A federal judge on Tuesday sentenced a Massachusetts Air National Guard member to 15 years in prison after he pleaded guilty to leaking highly classified military documents about the war in Ukraine.  Jack Teixeira pleaded guilty earlier this year to six counts of willful retention and transmission of national defense information under the Espionage Act following his arrest in the most consequential national security case in years. Brought into court wearing an orange jumpsuit, he showed no visible reaction as he was sentenced by U.S. District Judge Indira Talwani.  Before being sentenced, he apologized for his actions.  "I wanted to say I'm sorry for all the harm that I brought and caused," Texeira said, referencing the "maelstrom" he caused to friends, family, and anyone affected overseas. "I understand all the responsibility and consequences fall upon my shoulders alone and accept whatever that will bring," he said, standing as he addressed the judge.  Afterward, Teixeira hugged one of his attorneys and looked toward his family and smiled before he was led out of court.  The security breach raised alarm over America's ability to protect its most closely guarded secrets and forced the Biden administration to scramble to try to contain the diplomatic and military fallout. The leaks embarrassed the Pentagon, which tightened controls to safeguard classified information and disciplined members found to have intentionally failed to take required action about Teixeira's suspicious behavior.  Earlier in Tuesday's hearing, Assistant U.S. Attorney Jared Dolan argued that 200 months — or a little more than 16 1/2 years — was appropriate given the "historic" damage caused by Teixeira's conduct that aided adversaries of the United States and hurt the country's allies. He also said that the recommendation by prosecutors would send a message to anyone in the military who might consider similar conduct.   "It will be a cautionary tale for the men and women in the U.S. military," Dolan said. "They are going to be told this is what happens if you break your promise, if you betray your country. ... They will know the defendant's name. They will know the sentence the court imposes."  But Teixeira's attorney Michael Bachrach told the judge in court Tuesday that 11 years was sufficient.  "It is a significant, harsh and difficult sentence, one that will not be easy to serve," Bachrach said. "It will serve as an extreme deterrent to anyone, particularly young servicemen. That is enough to keep them deterred from committing serious conduct."  'His intent was to educate' Teixeira, of North Dighton, Massachusetts, had pleaded guilty in March to six counts of the willful retention and transmission of national defense information under the Espionage Act. That came nearly a year after he was arrested in the most consequential national security leak in years.  The 22-year-old admitted that he illegally collected some of the nation's most sensitive secrets and shared them with other users on the social media platform Discord.  When Teixeira pleaded guilty, prosecutors said they would seek a prison term at the high end of the sentencing range. But the defense wrote in their sentencing memorandum earlier that the 11 years is a "serious and adequate to account for deterrence considerations and would be essentially equal to half the life that Jack has lived thus far."  His attorneys described Teixeira as an autistic, isolated individual who spent most of his time online, especially with his Discord community. They said his actions, though criminal, were never meant to "harm the United States." He also had no prior criminal record.  "Instead, his intent was to educate his friends about world events to make certain they were not misled by misinformation," the attorneys wrote. "To Jack, the Ukraine war was his generation's World War II or Iraq, and he needed someone to share the experience with."  Prosecutors, though, had countered that Teixeira does not suffer from an intellectual disability that prevents him from knowing right from wrong. They argued that Teixeira's post-arrest diagnosis as having "mild, high-functioning" autism "is of questionable relevance in these proceedings."  Teixeira, who was part of the 102nd Intelligence Wing at Otis Air National Guard Base in Massachusetts, worked as a cyber transport systems specialist, which is essentially an information technology specialist responsible for military communications networks. He remains in the Air National Guard in an unpaid status, an Air Force official said.  Authorities said he first typed out classified documents he accessed and then began sharing photographs of files that bore SECRET and TOP SECRET markings. Prosecutors also said he tried to cover his tracks before his arrest, and authorities found a smashed tablet, laptop and an Xbox gaming console in a dumpster at his house.  The leak exposed to the world unvarnished secret assessments of Russia's war in Ukraine, including information about troop movements in Ukraine, and the provision of supplies and equipment to Ukrainian troops. Teixeira also admitted posting information about a U.S. adversary's plans to harm U.S. forces serving overseas. 

to write gertrude stein

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Antifolates are important for chemotherapy in non–small cell lung cancer (NSCLC). They mainly rely on reduced folate carrier (RFC) and proton-coupled folate transporter (PCFT) to enter cells. PCFT is supposed to be the dominant transporter of the two in tumors, as it operates optimally at acidic pH and has limited transport activity at physiological pH, whereas RFC operates optimally at neutral pH. In this study, we found RFC showed a slightly pH-dependent uptake of antifolates, with similar affinity values at pH 7.4 and 6.5. PCFT showed a highly pH-dependent uptake of antifolates, with an optimum pH of 6.0 for pemetrexed and 5.5 for methotrexate. The Michaelis-Menten constant (K_m) value of PCFT for pemetrexed at pH 7.4 was more than 10 times higher than that at pH 6.5. Interestingly, we found that antifolate accumulations mediated by PCFT at acidic pH were significantly affected by the efflux transporter, breast cancer resistance protein (BCRP). The highest pemetrexed concentration was observed at pH 7.0–7.4 after a 60-minute accumulation in PCFT-expressing cells, which was further evidenced by the cytotoxicity of pemetrexed, with the IC₅₀ value of pemetrexed at pH 7.4 being one-third of that at pH 6.5. In addition, the in vivo study indicated that increasing PCFT and RFC expression significantly enhanced the antitumor efficacy of pemetrexed despite the high expression of BCRP. These results suggest that both RFC and PCFT are important for antifolates accumulation in NSCLC, although there is an acidic microenvironment and high BCRP expression in tumors.

Solute carrier family 6 member 19 (SLC6A19) inhibitors are being studied as therapeutic agents for phenylketonuria. In this work, a potent SLC6A19 inhibitor (RA836) elevated rat kidney uremic toxin indoxyl sulfate (IDS) levels by intensity (arbitrary unit) of 13.7 ± 7.7 compared with vehicle 0.3 ± 0.1 (P = 0.01) as determined by tissue mass spectrometry imaging analysis. We hypothesized that increased plasma and kidney levels of IDS could be caused by the simultaneous inhibition of both Slc6a19 and a kidney IDS transporter responsible for excretion of IDS into urine. To test this, we first confirmed the formation of IDS through tryptophan metabolism by feeding rats a Trp-free diet. Inhibiting Slc6a19 with RA836 led to increased IDS in these rats. Next, RA836 and its key metabolites were evaluated in vitro for inhibiting kidney transporters such as organic anion transporter (OAT)1, OAT3, and breast cancer resistance protein (BCRP). RA836 inhibits BCRP with an IC₅₀ of 0.045 μM but shows no significant inhibition of OAT1 or OAT3. Finally, RA836 analogs with either potent or no inhibition of SLC6A19 and/or BCRP were synthesized and administered to rats fed a normal diet. Plasma and kidney samples were collected to quantify IDS using liquid chromatography–mass spectrometry. Neither a SLC6A19 inactive but potent BCRP inhibitor nor a SLC6A19 active but weak BCRP inhibitor raised IDS levels, whereas compounds inhibiting both transporters caused IDS accumulation in rat plasma and kidney, supporting the hypothesis that rat Bcrp contributes to the excretion of IDS. In summary, we identified that inhibiting Slc6a19 increases IDS formation, while simultaneously inhibiting Bcrp results in IDS accumulation in the kidney and plasma.

Protein abundance data of drug-metabolizing enzymes and transporters (DMETs) are useful for scaling in vitro and animal data to humans for accurate prediction and interpretation of drug clearance and toxicity. Targeted DMET proteomics that relies on synthetic stable isotope-labeled surrogate peptides as calibrators is routinely used for the quantification of selected proteins; however, the technique is limited to the quantification of a small number of proteins. Although the global proteomics-based total protein approach (TPA) is emerging as a better alternative for large-scale protein quantification, the conventional TPA does not consider differential sequence coverage by identifying unique peptides across proteins. Here, we optimized the TPA approach by correcting protein abundance data by the sequence coverage, which was applied to quantify 54 DMETs for characterization of 1) differential tissue DMET abundance in the human liver, kidney, and intestine, and 2) interindividual variability of DMET proteins in individual intestinal samples (n = 13). Uridine diphosphate-glucuronosyltransferase 2B7 (UGT2B7), microsomal glutathione S-transferases (MGST1, MGST2, and MGST3) carboxylesterase 2 (CES2), and multidrug resistance-associated protein 2 (MRP2) were expressed in all three tissues, whereas, as expected, four cytochrome P450s (CYP3A4, CYP3A5, CYP2C9, and CYP4F2), UGT1A1, UGT2B17, CES1, flavin-containing monooxygenase 5, MRP3, and P-glycoprotein were present in the liver and intestine. The top three DMET proteins in individual tissues were: CES1>CYP2E1>UGT2B7 (liver), CES2>UGT2B17>CYP3A4 (intestine), and MGST1>UGT1A6>MGST2 (kidney). CYP3A4, CYP3A5, UGT2B17, CES2, and MGST2 showed high interindividual variability in the intestine. These data are relevant for enhancing in vitro to in vivo extrapolation of drug absorption and disposition and can be used to enhance the accuracy of physiologically based pharmacokinetic prediction of systemic and tissue concentration of drugs.

Although acute inflammation serves essential functions in maintaining tissue homeostasis, chronic inflammation is causally linked to many diseases. Macrophages are a major cell type that orchestrates inflammatory processes. During inflammation, macrophages undergo polarization and activation, thereby mobilizing pro-inflammatory and anti-inflammatory transcriptional programs that regulate ensuing macrophage functions. Fatty acid binding protein 5 (FABP5) is a lipid chaperone highly expressed in macrophages. FABP5 deletion is implicated in driving macrophages toward an anti-inflammatory phenotype, yet signaling pathways regulated by macrophage-FABP5 have not been systematically profiled. We leveraged proteomic and phosphoproteomic approaches to characterize pathways modulated by FABP5 in M1 and M2 polarized bone marrow-derived macrophages (BMDMs). Stable isotope labeling by amino acids-based analysis of M1 and M2 polarized wild-type and FABP5 knockout BMDMs revealed numerous differentially regulated proteins and phosphoproteins. FABP5 deletion impacted downstream pathways associated with inflammation, cytokine production, oxidative stress, and kinase activity. Toll-like receptor 2 (TLR2) emerged as a novel target of FABP5 and pharmacological FABP5 inhibition blunted TLR2-mediated activation of downstream pathways, ascribing a novel role for FABP5 in TLR2 signaling. This study represents a comprehensive characterization of the impact of FABP5 deletion on the proteomic and phosphoproteomic landscape of M1 and M2 polarized BMDMs. Loss of FABP5 altered pathways implicated in inflammatory responses, macrophage function, and TLR2 signaling. This work provides a foundation for future studies seeking to investigate the therapeutic potential of FABP5 inhibition in pathophysiological states resulting from dysregulated inflammatory signaling.

Chronic hypertension leads to injury and fibrosis in major organs. Fibroblast activation protein (FAP) is one of key molecules in tissue fibrosis, and ⁶⁸Ga-labeled FAP inhibitor-46 (FAPI46) PET is a recently developed method for evaluating FAP. The aim of this study was to evaluate FAP expression and fibrosis in a hypertension model and to test the feasibility of ⁶⁸Ga-FAPI46 PET in hypertension. Methods: Hypertension was induced in mice by angiotensin II infusion for 4 wk. ⁶⁸Ga-FAPI46 biodistribution studies and PET scanning were conducted at 1, 2, and 4 wk after hypertension modeling, and uptake in the major organs was measured. The FAP expression and fibrosis formation of the heart and kidney tissues were analyzed and compared with ⁶⁸Ga-FAPI46 uptake. Subgroups of the hypertension model underwent angiotensin receptor blocker administration and high-dose FAPI46 blocking, for comparison. As a preliminary human study, ⁶⁸Ga-FAPI46 PET images of lung cancer patients were analyzed and compared between hypertension and control groups. Results: Uptake of ⁶⁸Ga-FAPI46 in the heart and kidneys was significantly higher in the hypertension group than in the sham group as early as week 1 and decreased after week 2. The uptake was specifically blocked in the high-dose blocking study. Immunohistochemistry also revealed FAP expression in both heart and kidney tissues. However, overt fibrosis was observed in the heart, whereas it was absent from the kidneys. The angiotensin receptor blocker–treated group showed lower uptake in the heart and kidneys than did the hypertension group. In the pilot human study, renal uptake of ⁶⁸Ga-FAPI46 significantly differed between the hypertension and control groups. Conclusion: In hypertension, FAP expression is increased in the heart and kidneys from the early phases and decreases over time. FAP expression appears to represent fibrosis activity preceding or underlying fibrotic tissue formation. ⁶⁸Ga-FAPI46 PET has potential as an effective imaging method for evaluating FAP expression in progressive fibrosis by hypertension.

The class F of G protein-coupled receptors (GPCRs) consists of 10 Frizzleds (FZD_1–10) and Smoothened (SMO). FZDs bind and are activated by secreted lipoglycoproteins of the Wingless/Int-1 (WNT) family, and SMO is indirectly activated by the Hedgehog (Hh) family of morphogens acting on the transmembrane protein Patched. The advance of our understanding of FZDs and SMO as dynamic transmembrane receptors and molecular machines, which emerged during the past 14 years since the first-class F GPCR IUPHAR nomenclature report, justifies an update. This article focuses on the advances in molecular pharmacology and structural biology providing new mechanistic insight into ligand recognition, receptor activation mechanisms, signal initiation, and signal specification. Furthermore, class F GPCRs continue to develop as drug targets, and novel technologies and tools such as genetically encoded biosensors and CRISP/Cas9 edited cell systems have contributed to refined functional analysis of these receptors. Also, advances in crystal structure analysis and cryogenic electron microscopy contribute to the rapid development of our knowledge about structure-function relationships, providing a great starting point for drug development. Despite the progress, questions and challenges remain to fully understand the complexity of the WNT/FZD and Hh/SMO signaling systems.

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HARI SREENIVASAN: Let’s turn to the continuing fallout and reaction to the Harvey Weinstein story.

Yesterday, Weinstein resigned from the board of his production company following numerous revelations of sexual harassment and several allegations of assault.

More than three dozen women have said Weinstein harassed them. While Weinstein has admitted to behaving inappropriately, he has said he didn’t physically assault anyone.

One of those women is Katherine Kendall. She was a 23-year-old actress who met Weinstein in 1993. She alleges that he invited her to his apartment in New York, where, she says, he took off his clothes and asked for a massage.

As other actresses began coming forward about their painful experiences, she also went public with her own story.

She joins me now from Los Angeles.

First, thanks for joining us.

And I don’t want to relive something that’s painful for you, but you are taking a public stance on it.

For people who don’t know your story, what happened?

KATHERINE KENDALL, Actress/ Photographer: Well, I was you know, a young actress, and I had had a formal meeting at the Miramax office earlier that day.

And then, at the end of the meeting, which I thought went really well, he invited me to come to screenings. He said: “Welcome to the Miramax family. You know, come to premieres, screenings, et cetera. In fact, there’s one this afternoon. Would you like to come?”

And I said, “Sure.”

And I ended up going to see a movie with him. It ended up just being a movie, not a screening, but the film “Red Rock West.” And, you know, that’s right when I had this sort of sinking feeling that something wasn’t going right.

And then, after the movie, we walked for a few blocks. And he said he needed to go up to his apartment to get something, and would I just come with him real quick? And I sort of said no, and we went back and forth on that for a minute. It was sort of a negotiation with him always, trying to sort of stand my ground, but then be convinced it was OK.

I did go into his apartment. Once there, we talked for a long time about art and movies. And I felt like he was treating me like an intellect.

And I felt like the meeting was going really well, and sort of continued. I didn’t feel unsafe once I was in there. And, at one point, then, he got up to go to the bathroom. And he came back in a robe and asked me to give him a massage.

And I was extremely uncomfortable. And I was like, oh, God, no, I’m not comfortable with that. And we went back and forth on that.

And then he went back to the bathroom again, and came back this time completely naked. And, you know, that changed it entirely for me, too. It just took it to the next place. It was completely disorienting. And I was scared, you know? I was really scared.

And then it became sort of a cat-and-mouse game of, like, how am I going to get out of there?

And I’m — it’s hard to make sense of what someone is trying to do to you when they’re fully naked, and they’re…

HARI SREENIVASAN: Yes.

KATHERINE KENDALL: You know, I’m 105 pounds. He’s a large man standing between me and the door.

And, I mean, I felt very resolute, like, I will definitely get out of here somehow. But I’m not — I’m not sure — I’m not sure what’s going to happen here. You know, a lot was going through my head.

And he said, well, if you won’t give me a massage, will you at least show me your breasts? And it was just — you know, it was, all in all, an extremely humiliating experience for me.

And even though I got away, I felt like something had still — like something horrible had just happened to me.

HARI SREENIVASAN: You know, in the immediate aftermath, did you tell someone about it? Because you have said before that you felt ashamed…

KATHERINE KENDALL: I did.

HARI SREENIVASAN: … even though you were the victim.

KATHERINE KENDALL: I did.

It’s really interesting how that happens. And I think — you know, I’m older now, and I have done some work on myself. And I have learned that a lot of people feel that way.

It’s — it’s not — it wasn’t just me. But the just me feeling that this is my fault, this must have only happened to me, there’s something wrong with me, is so common when someone perpetrates against you.

HARI SREENIVASAN: What were the…

KATHERINE KENDALL: And I did. I told my mom.

And I told some good friends. But, you know, one of the things that happened was, I didn’t want them to tell anybody. You know, people wanted to help me, but they didn’t know how, and I didn’t want them to try too hard, because I didn’t want it to backlash.

I was scared. And I think that it’s important to remember that we don’t really come from a culture that supports women in talking about sexual harassment, in my — in my experience, that is. And, you know, I just haven’t felt like it was something I was going to get support on…

HARI SREENIVASAN: You know, how long…

KATHERINE KENDALL: … in the bigger picture.

HARI SREENIVASAN: Yes.

How long did this feeling last? Or, I guess, what are the longer-term ripple effects here? Did it shake your confidence in your abilities?

KATHERINE KENDALL: I think it did. I think it did. I think it did.

I think it made me feel like, wow, you know, that was a wash. He wasn’t interested at all in what I had to say, or, you know, he didn’t see any talent there or intellect there. He was assessing the situation the whole time for something else.

And I think that — that did hurt. You know, I wish it didn’t.

HARI SREENIVASAN: Yes.

KATHERINE KENDALL: But he had produced so many movies that I thought were wonderful. And it was — it’s hard when someone has made art that you love, and how do you stay attached to liking their art, but feeling conflicted about them?

And, yes, I think it does have long-term effects. I think you tuck it away. And then, for me, also, I realized that it came back when I would see his name or see him in person. I would start to sort of tremble all over again.

I mean, I wouldn’t think about him on a daily basis or anything for years, and then I would see him, and I would think, oh, I don’t feel well. I got to get out of here.

HARI SREENIVASAN: Right.

KATHERINE KENDALL: You know, it would bring up so much emotion.

And the most recent one was the woman in New York, the Italian model. I felt so, so enraged when I saw what happened there, and that they sort of — the police had him, and that then he got away. And then she was being dragged through the press as somebody who just, you know, wanted a payout, et cetera.

HARI SREENIVASAN: You know, in the wake of that, there was — a friend of yours had tweeted, “At some point, all the women who have been afraid to speak out about Harvey Weinstein are going to have to hold hands and jump.” This was back in 2015.

And from your Twitter account, you said, “Agreed.”

It seemed like you almost had the opportunity to come forward.

What made you want to come forward now? Has this become a turning point in the industry?

KATHERINE KENDALL: This is a turning point. It’s a turning point.

There are so many times when I thought about it, and then felt like — there were times when I thought about it and said, well, I have nothing to lose, I will just do it. And then I thought, I — I just didn’t have the strength or the courage yet.

And I think somebody like Jodi Kantor doing the story for The New York Times, the fact that she thought it was a story at all was startling to me and made me feel like, wow, something is going to be done.

And I knew she had told me — I mean, they were looking for women that this had happened to, because they’d been hearing rumors for so long that it happened to so many people. And she had told me other people were coming out.

And I thought, I can’t — when I watched Rose McGowan or any of the other actresses come forward, I just — or Ashley Judd — I just thought, they look strong to me, and I don’t want to be the one that stays silent.

HARI SREENIVASAN: Well, Katherine Kendall…

KATHERINE KENDALL: I want to stand beside them.

HARI SREENIVASAN: Katherine Kendall, thank you very much for speaking with us.

And, hopefully, there are other people that are empowered by you coming forward.

KATHERINE KENDALL: I hope so. Thank you.

The post Escaping Harvey Weinstein was a ‘cat-and-mouse game,’ says Katherine Kendall appeared first on PBS NewsHour.

Computer simulations of how influenza A moves through human mucus found it is ideally configured to slide through the sticky stuff on its way to infecting cells

A federal judge sentenced Jack Teixeira, a Massachusetts Air National Guard member, to prison after he pleaded guilty to leaking highly classified military documents about the war in Ukraine.

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Massachusetts Air National Guard member Jack Teixeira received a 15-year sentence in federal prison for leaking classified military documents on Discord in a Boston federal court, according to The Washington Post.

Teixeira appeared before the court earlier today and asked the judge for leniency. He also issued a statement apologizing for “all of the harm that I’ve caused, to my friends, family and those overseas.”

Defense attorney Michael Bachrach also claimed that Teixeira was subjected to bullying in high school and his military unit as an adjudicating factor for his actions. Judge Indira Talwani didn’t buy the defense’s bullying claims stating that the Air Force has already disciplined 15 other members connected to Teixeira for not taking more actions “that might have stopped him from doing this.”

Teixeira shared classified military documents as far back as late 2022 on a Discord server dedicated to the pixelated sandbox game Minecraft. The leak included information about the Ukrainian and Russian troop movements and military equipment used in the war in Ukraine and Russia's attempts to obtain more weapons from Egypt and Turkey. The documents eventually found their way to other Discord servers as well as 4chan and Telegram.

FBI officials arrested Teixeira at his home in April of last year. Teixeira originally agreed to a plea deal with federal prosecutors in March that included a 16-year prison sentence for pleading guilty to six counts of willful retention and transmission of national defense information and violating the Espionage Act. If he stuck with his not guilty plea and received a guilty verdict, Teixeira faced a much steeper maximum prison term of 60 years.

I saw Christopher Nolan’s Oppenheimer earlier this week. The main character in the film, J. Robert Oppenheimer, was a physicist whose family was Jewish, and who worked for many years at the Institute of Advanced Studies in Princeton. In these respects he was akin to Albert Einstein, who makes several appearances in the movie itself. [...]

Sep 8, 2023

Energy economist Severin Borenstein, Professor of the Graduate School at the Haas School of Business at the University of California, Berkeley, discussed the many significant challenges facing the nation’s electricity power sector in the latest episode of “Environmental Insights: Discussions on Policy and Practice from the Harvard Environmental Economics Program.

Computer simulations of how influenza A moves through human mucus found it is ideally configured to slide through the sticky stuff on its way to infecting cells

"My religion consists of a humble admiration of the illimitable superior spirit who reveals himself in the slight details we are able to perceive with our frail and feeble mind."

A study has found that proteins from meat and milk help prevent small intestine tumors by acting as protective antigens.

Protein bars, shakes, and powders are gaining popularity among adults, and many teens are following suit (!--ref1--). According to the University of Michigan Health C.

Cholesterol are of two types namely high-density lipoprotein cholesterol (HDL) and low-density lipoprotein cholesterol (LDL). HDL or good cholesterol

Mini-proteins are engineered protein capsule, bcapable of delivering targeted radiation dose directly to tumor cells expressing Nectin-4/b. Nectin-4

Lipoprotein(a) is a lipid particle and a common genetic cause of cardiovascular diseases. 20% of the world population carries this genetic risk factor (!--ref1--).

Using cryo-electron microscopy the atomic structure of the "APOBEC3G-Vif complex" has been unveiled by scientists (!--ref1--). h2 What is APOBEC3G

A recent discovery led by the University of Maryland could pave the way for new and enhanced treatments for Hutchinson-Gilford progeria syndrome (HGPS),

An international research team led by the University of Toronto has created an effective system using the iC. elegans/i nematode to identify compounds that can halt the growth of amyloid proteins.

Omega Protein Reports 2010 First Quarter Results

A sensational medical discovery has been reported in Kurnool, where a four-year-old boy was detected with Lipoprotein Glomerulopathy (LPG), a disease

Jack Teixeira, a Massachusetts Air National Guard member, receives a 15-year prison sentence for leaking classified military documents about Ukraine.

Berlin ; Boston : De Gruyter, [2023]