[Sports] :
The Korea Football Association(KFA) has revised its regulations on selecting the head coach of the national football team in a bid to boost the competitiveness and efficiency in operating the team.  Following a meeting of its board of directors in Seoul on Tuesday, the association said that in order to ...

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[Politics] :
The Navy flew a fixed-wing drone from one of its vessels for the first time as part of its efforts to advance technology for unmanned aerial vehicles. The Navy said a prototype of the Mojave drone, developed by the U.S. firm General Atomics Aeronautical Systems, took off Tuesday from the 14-thousand-ton ...

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Facebook Marketplace has become a popular platform for buying and selling goods, from used cars to gaming systems. However, as with any online marketplace, it has also become a breeding ground for scams.

Statistically, over half of the people reading this article live in a city, with a higher population density than rural or suburban areas. For instance, New York City has nearly 27,000 people crammed into each square mile (2.6 square km) of land.

[Culture] :
In the six days after the announcement that Han Kang won the Nobel Prize in Literature, sales of her books exceeded one million copies.  According to major bookstore chains Yes24 and Kyobo Book Center on Wednesday, the figure had surpassed one million as of 9 a.m.  Since Han’s Nobel Prize win, one ...

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Get ready for an unforgettable first encounter! This week on I Feel You, our regular NVee meets special DJ Xander—the ultimate non-kkondae idol sbn! From hilarious icebreakers to shared stories...

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[Economy] :
Foreign investors were net sellers in the South Korean stock market for the third month in October. According to data from the Bank of Korea(BOK) on Friday, foreigners sold a net four-point-17 billion U.S. dollars worth of stocks last month. But the latest figure is lower than September’s total of ...

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Low-concentration poly(ethylene oxide) exhibit the polymorph-dependent effects on both the surface and bulk crystal growth of carbamazepine polymorphs. These polymorph-dependent effects of PEO were mainly attributed to the polymer enrichment at the interface and different crystal surface-polymer interactions.

The synthesis of a chiral isothiourea, namely, (4aR,8aR)-3-phenyl-4a,5,6,7,8,8a-hexahydrobenzo[4,5]imidazo[2,1-b]thiazol-9-ium bromide, C15H17N2S+·Br−, with potential organocatalytic and anti-inflammatory activity is reported. The preparation of the heterocycle of interest was carried out in two high-yielding steps. The hydrobromide salt of the isothiourea of interest provided suitable crystals for X-ray diffraction analysis, the results of which are reported. Salient observations from this analysis are the near perpendicular arrangement of the phenyl ring and the mean plane of the heterocycle. This conformational characteristic may be relevant with regard the stereoselectivity induced by the chiral isothiourea in asymmetric reactions. Furthermore, evidence was found for the existence of an S...Br− halogen bond.

Small-angle X-ray scattering (SAXS) is widely used to analyze the shape and size of nanoparticles in solution. A multitude of models, describing the SAXS intensity resulting from nanoparticles of various shapes, have been developed by the scientific community and are used for data analysis. Choosing the optimal model is a crucial step in data analysis, which can be difficult and time-consuming, especially for non-expert users. An algorithm is proposed, based on machine learning, representation learning and SAXS-specific preprocessing methods, which instantly selects the nanoparticle model best suited to describe SAXS data. The different algorithms compared are trained and evaluated on a simulated database. This database includes 75 000 scattering spectra from nine nanoparticle models, and realistically simulates two distinct device configurations. It will be made freely available to serve as a basis of comparison for future work. Deploying a universal solution for automatic nanoparticle model selection is a challenge made more difficult by the diversity of SAXS instruments and their flexible settings. The poor transferability of classification rules learned on one device configuration to another is highlighted. It is shown that training on several device configurations enables the algorithm to be generalized, without degrading performance compared with configuration-specific training. Finally, the classification algorithm is evaluated on a real data set obtained by performing SAXS experiments on nanoparticles for each of the instrumental configurations, which have been characterized by transmission electron microscopy. This data set, although very limited, allows estimation of the transferability of the classification rules learned on simulated data to real data.

Small-angle X-ray scattering (SAXS) is a widely used method for nanoparticle characterization. A common approach to analysing nanoparticles in solution by SAXS involves fitting the curve using a parametric model that relates real-space parameters, such as nanoparticle size and electron density, to intensity values in reciprocal space. Selecting the optimal model is a crucial step in terms of analysis quality and can be time-consuming and complex. Several studies have proposed effective methods, based on machine learning, to automate the model selection step. Deploying these methods in software intended for both researchers and industry raises several issues. The diversity of SAXS instrumentation requires assessment of the robustness of these methods on data from various machine configurations, involving significant variations in the q-space ranges and highly variable signal-to-noise ratios (SNR) from one data set to another. In the case of laboratory instrumentation, data acquisition can be time-consuming and there is no universal criterion for defining an optimal acquisition time. This paper presents an approach that revisits the nanoparticle model selection method proposed by Monge et al. [Acta Cryst. (2024), A80, 202–212], evaluating and enhancing its robustness on data from device configurations not seen during training, by expanding the data set used for training. The influence of SNR on predictor robustness is then assessed, improved, and used to propose a stopping criterion for optimizing the trade-off between exposure time and data quality.

Deflectometric profilometers are used to precisely measure the form of beam shaping optics of synchrotrons and X-ray free-electron lasers. They often utilize autocollimators which measure slope by evaluating the displacement of a reticle image on a detector. Based on our privileged access to the raw image data of an autocollimator, novel strategies to reduce the systematic measurement errors by using a set of overlapping images of the reticle obtained at different positions on the detector are discussed. It is demonstrated that imaging properties such as, for example, geometrical distortions and vignetting, can be extracted from this redundant set of images without recourse to external calibration facilities. This approach is based on the fact that the properties of the reticle itself do not change – all changes in the reticle image are due to the imaging process. Firstly, by combining interpolation and correlation, it is possible to determine the shift of a reticle image relative to a reference image with minimal error propagation. Secondly, the intensity of the reticle image is analysed as a function of its position on the CCD and a vignetting correction is calculated. Thirdly, the size of the reticle image is analysed as a function of its position and an imaging distortion correction is derived. It is demonstrated that, for different measurement ranges and aperture diameters of the autocollimator, reductions in the systematic errors of up to a factor of four to five can be achieved without recourse to external measurements.

The receptor ability of diethyl N,N'-(1,3-phenyl­ene)dicarbamate (1) to form host–guest com­plexes with theophylline (TEO) and caffeine (CAF) by mechanochemistry was evaluated. The formation of the 1–TEO com­plex (C12H16N2O4·C7H8N4O2) was preferred and involves the conformational change of one of the ethyl carbamate groups of 1 from the endo conformation to the exo conformation to allow the formation of inter­molecular inter­actions. The formation of an N—H⋯O=C hydrogen bond between 1 and TEO triggers the conformational change of 1. CAF mol­ecules are unable to form an N—H⋯O=C hydrogen bond with 1, making the conformational change and, therefore, the formation of the com­plex impossible. Conformational change and selective binding were monitored by IR spectroscopy, solid-state 13C nuclear magnetic resonance and single-crystal X-ray diffraction. The 1–TEO com­plex was characterized by IR spectroscopy, solid-state 13C nuclear magnetic resonance, powder X-ray diffraction and single-crystal X-ray diffraction.

The synthesis and structural characterization of four novel supra­molecular hy­dro­gen-bonded arrangements based on self-assembly from mol­ecular `[Cu(2,2'-bi­imid­az­ole)]' modules and malonate anions are pre­sent­ed, namely, tetra­kis­(2,2'-bi­imid­az­ole)di-μ-chlorido-dimal­on­atotricopper(II) penta­hydrate, [Cu3(C3H2O4)2Cl2(C6H6N4)4]·5H2O or [Cu(H2biim)2(μ-Cl)Cu0.5(mal)]2·5H2O, aqua­(2,2'-bi­imid­az­ole)­mal­on­atocopper(II) dihydrate, [Cu(C3H2O4)(C6H6N4)(H2O)]·2H2O or [Cu(H2biim)(mal)(H2O)]·2H2O, bis­[aqua­bis­(2,2'-bi­imid­az­ole)­cop­per(II)] di­mal­on­atodi­perchloratocopper(II) 2.2-hydrate, [Cu(C6H6N4)2(H2O)]2[Cu(C3H2O4)(ClO4)2]·2.2H2O or [Cu(H2biim)2(H2O)]2[Cu(mal)2(ClO4)2]·2.2H2O, and bis­(2,2'-bi­imid­az­ole)­copper(II) bis­[bis­(2,2'-bi­imid­az­ole)(2-carb­oxy­acetato)mal­on­atocopper(II)] tridecahydrate, [Cu(C6H6N4)2][Cu(C3H2O4)(C3H3O4)(C6H6N4)2]·13H2O or [Cu(H2biim)2][Cu(H2biim)2(Hmal)(mal)]2·13H2O. These as­sem­blies are characterized by self-com­plementary donor–acceptor mol­ecular inter­actions, demonstrating a recurrent and distinctive pattern of hy­dro­gen-bonding preferences among the carboxyl­ate, carb­oxy­lic acid and N—H groups of the coordinated 2,2'-bi­imid­az­ole and malonate ligands. Additionally, co­or­din­ation of the carboxyl­ate group with the metallic centre helps sustain re­mark­able supra­molecular assemblies, such as layers, helices, double helix columns or 3D channeled architectures, including mixed-metal com­plexes, into a single structure.

Spectroscopic data, particularly diffraction data, are essential for materials characterization due to their comprehensive crystallographic information. The current crystallographic phase identification, however, is very time consuming. To address this challenge, we have developed a real-time crystallographic phase identifier based on a convolutional self-attention neural network (CPICANN). Trained on 692 190 simulated powder X-ray diffraction (XRD) patterns from 23 073 distinct inorganic crystallographic information files, CPICANN demonstrates superior phase-identification power. Single-phase identification on simulated XRD patterns yields 98.5 and 87.5% accuracies with and without elemental information, respectively, outperforming JADE software (68.2 and 38.7%, respectively). Bi-phase identification on simulated XRD patterns achieves 84.2 and 51.5% accuracies, respectively. In experimental settings, CPICANN achieves an 80% identification accuracy, surpassing JADE software (61%). Integration of CPICANN into XRD refinement software will significantly advance the cutting-edge technology in XRD materials characterization.

Cryogenic electron microscopy (cryo-EM) is a pivotal technique for imaging macromolecular structures. However, despite extensive processing of large image sets collected in cryo-EM experiments to amplify the signal-to-noise ratio, the reconstructed 3D protein-density maps are often limited in quality due to residual noise, which in turn affects the accuracy of the macromolecular representation. Here, crefDenoiser is introduced, a denoising neural network model designed to enhance the signal in 3D cryo-EM maps produced with standard processing pipelines. The crefDenoiser model is trained without the need for `clean' ground-truth target maps. Instead, a custom dataset is employed, composed of real noisy protein half-maps sourced from the Electron Microscopy Data Bank repository. Competing with the current state-of-the-art, crefDenoiser is designed to optimize for the theoretical noise-free map during self-supervised training. We demonstrate that our model successfully amplifies the signal across a wide variety of protein maps, outperforming a classic map denoiser and following a network-based sharpening model. Without biasing the map, the proposed denoising method leads to improved visibility of protein structural features, including protein domains, secondary structure elements and modest high-resolution feature restoration.

The reaction between 2-pyridyl­selenenyl chloride and isobutyro­nitrile results in the formation of the corresponding cationic pyridinium-fused 1,2,4-seleno­diazole, namely, 3-(propan-2-yl)-1,2,4-[1,2,4]selena­diazolo[4,5-a]pyridin-4-ylium chloride, C9H11N2Se+·Cl−, in high yield (89%). The structure of the compound, established by means of single-crystal X-ray analysis at 100 K, has monoclinic (P21/c) symmetry and revealed the presence of bifurcated chalcogen-hydrogen bonding Se⋯Cl−⋯H—Cl, and these non-covalent contacts were analysed by DFT calculations followed by a topological analysis of the electron-density distribution (ωB97XD/6-311++G** level of theory).

The reaction of CoBr2, KNCSe and 2-methyl­pyridine N-oxide (C6H7NO) in ethanol leads to the formation of crystals of [Co(NCSe)2(C6H7NO)3] (1) and [Co(NCSe)2(C6H7NO)4] (2) from the same reaction mixture. The asymmetric unit of 1 is built up of one CoII cation, two NCSe− iso­seleno­cyanate anions and three 2-methyl­pyridine N-oxide coligands, with all atoms located on general positions. The asymmetric unit of 2 consists of two cobalt cations, four iso­seleno­canate anions and eight 2-methyl­pyridine N-oxide coligands in general positions, because two crystallographically independent complexes are present. In compound 1, the CoII cations are fivefold coordinated to two terminally N-bonded anionic ligands and three 2-methyl­pyridine N-oxide coligands within a slightly distorted trigonal–bipyramidal coordination, forming discrete complexes with the O atoms occupying the equatorial sites. In compound 2, each of the two complexes is coordinated to two terminally N-bonded iso­seleno­cyanate anions and four 2-methyl­pyridine N-oxide coligands within a slightly distorted cis-CoN2O4 octa­hedral coordination geometry. In the crystal structures of 1 and 2, the complexes are linked by weak C—H⋯Se and C—H⋯O contacts. Powder X-ray diffraction reveals that neither of the two compounds were obtained as a pure crystalline phase.

The X-ray crystal structure data of 12-α-fluoro-3β-hy­droxy­olean-28,13β-olide methanol hemisolvate, 2C30H47FO3·CH3OH, (1), and 12-α-fluoro-3β-hy­droxy­taraxer-28,14β-olide methanol hemisolvate, 2C30H47FO3·CH3OH, (2), are described. The fluoro­lactonization of oleanolic acid using SelectfluorTM yielded a mixture of the six-membered δ-lactone (1) and the unusual seven-membered γ-lactone (2) following a 1,2-shift of methyl C-27 from C-14 to C-13.

A new pyridine-fused seleno­diazo­lium salt, 3-(phenyl­selan­yl)[1,2,4]selena­diazolo[4,5-a]pyridin-4-ylium chloride di­chloro­methane 0.352-solvate, C12H9N2Se2+·Cl−·0.352CH2Cl2, was obtained from the reaction between 2-pyridyl­selenenyl chloride and phenyl­seleno­cyanate. Single-crystal structural analysis revealed the presence of C—H⋯N, C—H⋯Cl−, C—H⋯Se hydrogen bonds as well as chalcogen–chalcogen (Se⋯Se) and chalcogen–halogen (Se⋯Cl−) inter­actions. Non-covalent inter­actions were explored by DFT calculations followed by topological analysis of the electron density distribution (QTAIM analysis). The structure consists of pairs of seleno­diazo­lium moieties arranged in a head-to-tail fashion surrounding disordered di­chloro­methane mol­ecules. The assemblies are connected by C—H⋯Cl− and C—H⋯N hydrogen bonds, forming layers, which stack along the c-axis direction connected by bifurcated Se⋯Cl−⋯H—C inter­actions.

Neutron spectroscopy uniquely and non-destructively accesses diffusive dynamics in soft and biological matter, including for instance proteins in hydrated powders or in solution, and more generally dynamic properties of condensed matter on the molecular level. Given the limited neutron flux resulting in long counting times, it is important to optimize data acquisition for the specific question, in particular for time-resolved (kinetic) studies. The required acquisition time was recently significantly reduced by measurements of discrete energy transfers rather than quasi-continuous neutron scattering spectra on neutron backscattering spectrometers. Besides this reduction in acquisition times, smaller amounts of samples can be measured with better statistics, and most importantly, kinetically changing samples, such as aggregating or crystallizing samples, can be followed. However, given the small number of discrete energy transfers probed in this mode, established analysis frameworks for full spectra can break down. Presented here are new approaches to analyze measurements of diffusive dynamics recorded within fixed windows in energy transfer, and these are compared with the analysis of full spectra. The new approaches are tested by both modeled scattering functions and a comparative analysis of fixed energy window data and full spectra on well understood reference samples. This new approach can be employed successfully for kinetic studies of the dynamics focusing on the short-time apparent center-of-mass diffusion.

Small-angle scattering (SAS) is a key experimental technique for analyzing nanoscale structures in various materials. In SAS data analysis, selecting an appropriate mathematical model for the scattering intensity is critical, as it generates a hypothesis of the structure of the experimental sample. Traditional model selection methods either rely on qualitative approaches or are prone to overfitting. This paper introduces an analytical method that applies Bayesian model selection to SAS measurement data, enabling a quantitative evaluation of the validity of mathematical models. The performance of the method is assessed through numerical experiments using artificial data for multicomponent spherical materials, demonstrating that this proposed analysis approach yields highly accurate and interpretable results. The ability of the method to analyze a range of mixing ratios and particle size ratios for mixed components is also discussed, along with its precision in model evaluation by the degree of fitting. The proposed method effectively facilitates quantitative analysis of nanoscale sample structures in SAS, which has traditionally been challenging, and is expected to contribute significantly to advancements in a wide range of fields.

Using the well known Rn ratio method, a protocol has been elaborated for determining the lattice direction for the 15 most common cubic zone axis spot patterns. The method makes use of the lengths of the three shortest reciprocal-lattice vectors in each pattern and the angles between them. No prior pattern calibration is required for the method to work, as the Rn ratio method is based entirely on geometric relationships. In the first step the pattern is assigned to one of three possible pattern types according to the angles that are measured between the three reciprocal-lattice vectors. The lattice direction [uvw] and possible Bravais type(s) and Laue indices of the corresponding reflections can then be determined by using lookup tables. In addition to determining the lattice direction, this simple geometric analysis allows one to distinguish between the P, I and F Bravais lattices for spot patterns aligned along [013], [112], [114] and [233]. Moreover, the F lattice can always be uniquely identified from the [011] and [123] patterns.

Klarna has secured a deal to offload BNPL loans that it...

Supporters of Donald Trump try to break through a police barrier Jan. 6 at the U.S. Capitol. The House of Representatives is set to take up legislation Wednesday to create a select committee to investigate the insurrection.; Credit: Julio Cortez/AP

The House of Representatives is expected to take up legislation Wednesday to create a select committee to launch a new inquiry into the Jan. 6 attack on the U.S. Capitol, marking the latest turn in a partisan fight to investigate the riot.

Senate Republicans blocked a move last month to vote on an outside commission, leaving Democratic leaders with plans to move forward with a House select committee instead. But some Republicans who supported the independent commission now say they'll oppose the select committee.

Already, several congressional committees have launched their own inquiries into the riot, which have run parallel to criminal investigations by the FBI that have led to more than 500 arrests connected to the breach of the Capitol.

"We hope to get to the truth, the whole truth and nothing but the truth with respect to the events of Jan. 6," said Rep. Hakeem Jeffries of New York, who chairs the House Democratic Caucus. The committee would look into "what happened that fateful day, why it happened and how do we prevent that type of violent assault on the Capitol, the Congress, and the Constitution from ever happening again."

How the panel would work

The panel will face challenges confronted by other previous select committees, including the one formed by Republicans to look into the 2012 terrorist attack in Benghazi, Libya. House Speaker Nancy Pelosi, D-Calif., has not yet named the chair of the panel or the Democratic lawmakers she plans to tap to be on it.

The panel will have subpoena power and a total of 13 members, with eight selected by Pelosi and the remaining five by House Minority Leader Kevin McCarthy, R-Calif. But Pelosi has not ruled out a veto of McCarthy's selections since the panel's resolution directs those appointments to be made with her consultation.

Pelosi has also signaled that she could use one of her eight picks to select a Republican. Quickly, Rep. Liz Cheney of Wyoming, who was recently ousted from her House leadership role by McCarthy and others, became a potential contender. Cheney hasn't ruled out the possibility, saying the final decision is Pelosi's.

For now, House Republicans, like Democrats, aren't saying who could be on the committee, but they are quick to slam the plan.

"If you look at the last vote (on the commission), it was overwhelmingly opposed by Republicans and what we've said is, look there are a lot of standing committees that have jurisdiction," House Minority Whip Steve Scalise, R-La., said. "Speaker Pelosi should be exercising that same ability — not going down a partisan route."

But this time, Scalise and others could have more company to oppose the panel. Among them, Rep. John Katko of New York, the ranking Republican on the House Homeland Security Committee, who helped broker the deal on the bipartisan commission with the committee's top Democrat, Chairman Bennie Thompson of Mississippi.

On Tuesday, Katko called the panel a "turbo-charged partisan exercise," arguing it would be skewed with Democratic picks, with all 13 members ultimately selected by Pelosi. As a result, Katko said he'll vote no on the select committee and can't envision a scenario where he would serve on it.

"I led the charge to create a Jan. 6 commission that would be external, independent, bipartisan and equitable in membership and subpoena power," Katko said. "The select committee proposed by Speaker Pelosi is literally the exact opposite of that."

How a bipartisan commission failed

Pelosi announced the plans to move forward with the committee last week. It marked nearly a month after the Senate fell a few votes short to move forward with floor debate to take up bipartisan legislation to establish the independent commission to investigate the insurrection.

Six Republicans joined Democrats to move to debate, with a final Senate tally of 54 to 35, that fell short of the 60 votes needed to proceed. Earlier in May, the House approved the commission plan by a 252-175 vote, with 35 Republicans joining Democrats.

The legislation was modeled after the commission established in the wake of the 9/11 attacks, with a panel of commissioners divvied evenly between the parties and with bipartisan subpoena power.

Ahead of the votes, former President Donald Trump blasted the plan and asked GOP leaders to reject it. Both McCarthy and Senate Minority Leader Mitch McConnell, R-Ky., followed suit, along with a majority of their party in both chambers.

Pelosi and other Democrats have blasted Republicans for blocking the move.

"They had an opportunity, and I don't think it should be lost on any of us that Mitch McConnell and Senate Republicans turned this opportunity away to have a bipartisan, even-split commission," said Rep. Pete Aguilar of California, the chief deputy whip for House Democrats.

This content is from Southern California Public Radio. View the original story at SCPR.org.

Allen Weisselberg, the Trump Organization's longtime chief financial officer, watches as then-U.S. Republican presidential candidate Donald Trump addresses a 2016 news conference at Trump Tower in New York City.; Credit: Carlo Allegri/Reuters

Former President Donald Trump's family business and its longtime chief financial officer, Allen Weisselberg, have been charged by the Manhattan district attorney's office in a case involving alleged tax-related crimes.

Before the indictment was released Thursday, Weisselberg's personal attorneys, Mary Mulligan and Bryan Skarlatos, said in a statement that the CFO "intends to plead not guilty and he will fight these charges in court."

Trump has long denied any wrongdoing.

In a statement Thursday afternoon, the former president said:

"The political Witch Hunt by the Radical Left Democrats, with New York now taking over the assignment, continues. It is dividing our Country like never before!"

The investigation by Manhattan District Attorney Cyrus Vance Jr. began in 2018 around the time Trump's former personal lawyer, Michael Cohen, pleaded guilty to campaign finance charges related to payments of hush money. These were made in the final months of the 2016 presidential campaign, as Cohen put it in court, "in coordination with, and at the direction of, a candidate for federal office." The goal was to block two women who claimed they had extramarital affairs with Trump — former Playboy model Karen McDougal and adult film star Stephanie Clifford, whose stage name is Stormy Daniels — from telling their stories publicly.

New York state Attorney General Letitia James' office launched its own probe in 2019 after Cohen testified in a congressional hearing that Trump manipulated property values to lower his tax obligations and to obtain bank loans. James' investigation was initially focused on potential civil charges, but it recently expanded to include a criminal probe in partnership with Vance.

This year, the investigators have homed in on noncash payments made to top officials in Trump's companies, including Weisselberg.

The U.S. Supreme Court paved the way for the charges, declining in February to block a subpoena from Vance's office seeking Trump's financial records. Vance first requested tax filings and other financial records from Trump's accounting firm, Mazars USA, in 2019.

In a statement released in May, Trump said the New York-based investigations were part of a "Witch Hunt," adding, with a reference to how his presidential campaign started in 2015: "It began the day I came down the escalator in Trump Tower, and it's never stopped."

This content is from Southern California Public Radio. View the original story at SCPR.org.

The facility is now testing biodiesel fuel being produced by several companies in the region and from the harvest of crops growing around the landfill to test which ones grow best in the local climate while producing the best oils for biodiesel.

Smart Electric North America, LLC is opening its North American headquarters in Conover, NC at 1550 Deborah Herman Road SW. SENA plans to build market share by supplying quality components and finished goods to the top tier lighting companies in the US first; then abroad.

Lisa Przekop, director of admissions at University of California, Santa Barbara, says that many high schoolers this year wrote their application essays about depression and anxiety during the pandemic.; Credit: Patricia Marroquin/Moment Editorial/Getty Images

College-bound high schoolers are making their final deliberations ahead of May 1, the national deadline to pick a school. That day will mark the end of a hectic admissions season drastically shaped by the COVID-19 pandemic.

Many colleges dropped standardized testing requirements, and because some high schools gave pass/fail grades and canceled extracurriculars and sports, admissions counselors had to change how they read and evaluate applications.

"[It was] definitely the craziest of all my 36 years, without a doubt," says Lisa Przekop, director of admissions at the University of California, Santa Barbara.

The UC school system received the most applications in the United States.

Like many others, Przekop says all of her staff has been working remotely throughout the pandemic. But if pivoting to working from home wasn't a challenge enough, Przekop says the school saw an increase in applications of 16%.

"On top of all that, we had to devise a way of doing our admissions selection process without the use of SAT or ACT scores," she says. "So any one of those things would have been a major change, but to have all of them at the same time was beyond anything really that I could've imagined."

Przekop spoke with All Things Considered about how what counselors looked for in applications this year changed, what topics they saw in admissions essays and how the process might have actually improved in spite of the pandemic.

This interview has been edited for length and clarity.

Interview Highlights

Has it all added up to more time spent on every individual application?

Quick answer, yes. Things are much more nuanced now. And although a student may have, for instance, planned to do certain activities, well many of those activities were canceled. The other big difference was students were a lot more depressed this year, obviously. Everybody's more anxious, including students. They're applying for college which is stressful in and of itself. And so what we found is a lot of students used their essays to talk about depression, anxiety, things like this. To read essay after essay after essay about depression, anxiety, stress — is taxing. And so we really had to encourage staff to take more breaks as they were reviewing. So it definitely slowed the whole process down at a time when we had more applications to review.

Can you give any insight into what you are basing your decisions on this year?

Absolutely. Maybe in the past I would've focused on that GPA right away. Now when I'm looking at that academic picture, I have to look at the fact that did the student challenge themselves as much as they could have? Were the courses even available? Do I see any trends in their academic performance? If their spring term of last year, their junior year, was all pass/no pass, can I safely assume that they did well in those courses? And that's where you really had to rely on what the students shared in their essays to try to piece that together.

Are you noticing greater diversity in the students applying to UC?

In terms of ethnic diversity, yes, we are seeing that. In terms of diversity of experience — for instance, first generation students and students with lots of different socioeconomic backgrounds — we're definitely seeing that. I'm seeing students who are very committed to the environment more so than i've seen before. I'm seeing students who are more politically aware and active than I've seen before. So I'm definitely seeing a pattern of behaviors that look a little bit different than students in the past.

This content is from Southern California Public Radio. View the original story at SCPR.org.

Police tape blocks access from a street leading to the building complex where the Capital Gazette is located on June 29, 2018, in Annapolis, Md. The suspect barricaded a back door in an effort to "kill as many people as he could kill," police said.; Credit: Mandel Ngan/AFP via Getty Images

Jury selection in the trial of the gunman who fatally shot five employees at the Capital Gazette newspaper in Annapolis, Md., on June 28, 2018 gets underway on Wednesday.

Jarrod Ramos, 41, has pleaded guilty — but not criminally responsible for reason of insanity — in the killings of John McNamara, Rob Hiaasen, Gerald Fischman, Wendi Winters and Rebecca Smith. The mass shooting was one of the deadliest attacks on journalists in modern U.S. history.

"There is a sense that you don't want this to be the thing that makes your life change," Phil Davis, the paper's former criminal justice reporter who now works at the Baltimore Sun, told NPR.

Davis was hiding under his desk while live tweeting the shooting that day. Later, he was part of the Pulitzer Prize-winning team that put out a paper the very next day.

"That's kind of what drove me to continue as a criminal justice reporter. Once I got the feeling of like, 'no we're going to get back to exactly what we do. We're going to tackle this how we would even if it wasn't us and try to go at it from the perspective of a local community newspaper,'" Davis said.

Bruce Shapiro, the executive director of the Columbia University's Dart Center for Journalism and Trauma, said what made this shooting reverberate in newsrooms across the U.S. was "the idea of a newsroom full of colleagues being murdered just because they are journalists. It's an identity based attack."

Attacks on journalists in the U.S. haven't stopped there. During his time in office, President Donald Trump tweeted that the news media is the enemy of the people. Associated Press journalists were threatened and had their equipment damaged by supporters of Trump during the Capitol insurrection on Jan. 6. And last year, during the protests in Minneapolis over the murder of George Floyd by police, the U.S. Press Freedom Tracker reported at least 160 threats to journalists across the country in one week--mostly by police.

Shapiro says the trial is a reminder to the public of the risks and costs local reporters take daily.

"The reality is that local newsrooms all over the country cover extraordinarily difficult events affecting their own families, neighbors, kids, schools whether that is wildfires, whether that is mass shooting, whether that is COVID-19," Shapiro said.

The Capital Gazette trial has been delayed several times due to COVID-19, turnover in the public defender and state's attorney's offices, and rounds of court hearings. Davis says he hopes the long-awaited trial brings some closure.

"Certainly for the families of the victims themselves, I look forward to being on the other end of this trial," he said. "And whatever the outcome is, being able to embrace them and support them just to bring them some sort of closure."

Today, less than a week before the third anniversary of the shooting, the judge has called a pool of 300 people to determine the 12 that will sit as jurors. They will then determine Ramos's mental sanity during the attack.

Steve Mercer, a former Maryland public defender, said the defense has the burden to prove Ramos's sanity. He said that in cases like these, the defense will look at motive and intent. One possible motive, Mercer says, is Ramos' "long-simmering feud with the paper."

Ramos sued the paper for defamation in 2012 after reporters wrote about his guilty plea on charges of criminal harassment and 90-day suspended jail sentence. But that motive might not hold up.

"I think there's a big gap between sort of being upset about a story that's published ... and then going in and committing a mass shooting," Mercer said.

Mercer adds what presents a challenge to both the defense and prosecution is Ramos's conduct after the shooting. He was found by police under a desk at the scene of the shooting with a pump-action shotgun which was purchased legally a few years before.

"The defense may point to it and say that it shows just a disconnect from reality and a lack of awareness of what was going on," Mercer said.

Circuit Court Judge Judge Michael Wachs will ultimately decide if he ends up in prison or a state psychiatric hospital.

This content is from Southern California Public Radio. View the original story at SCPR.org.

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