bluuebunny/crossref_metadata_2025 huggingface dataset:
GRL-142 binds to and impairs HIV-1 integrase nuclear localization signal and potently suppresses highly INSTI-resistant HIV-1 variants
Authors: Aoki Manabu , Aoki-Ogata Hiromi , Bulut Haydar , Hayashi Hironori , Takamune Nobutoki , Kishimoto Naoki , Tanaka Hiroki , Higashi-Kuwata Nobuyo , Hattori Shin-ichiro , Das Debananda , Venkateswara Rao Kalapala , Iwama Kazuya , Davis David A. , Hasegawa Kazuya , Murayama Kazutaka , Yarchoan Robert , Ghosh Arun K. , Pau Alice K. , Machida Shinichi , Misumi Shogo , Mitsuya Hiroaki
Published: July 2023

Nuclear localization signal (NLS) of HIV-1 integrase (IN) is implicated in nuclear import of HIV-1 preintegration complex (PIC). Here, we established a multiclass drug-resistant HIV-1 variant (HIV
KGD
) by consecutively exposing an HIV-1 variant to various antiretroviral agents including IN strand transfer inhibitors (INSTIs). HIV
KGD
was extremely susceptible to a previously reported HIV-1 protease inhibitor, GRL-142, with IC
50
of 130 femtomolar. When cells were exposed to HIV
KGD
IN–containing recombinant HIV in the presence of GRL-142, significant decrease of unintegrated 2-LTR circular cDNA was observed, suggesting that nuclear import of PIC was severely compromised by GRL-142. X-ray crystallographic analyses revealed that GRL-142 interacts with NLS’s putative sequence (DQAEHLK) and sterically blocks the nuclear transport of GRL-142–bound HIV
KGD
’s PIC. Highly INSTI-resistant HIV-1 variants isolated from heavily INSTI-experienced patients proved to be susceptible to GRL-142, suggesting that NLS-targeting agents would serve as salvage therapy agents for highly INSTI-resistant variant–harboring individuals. The data should offer a new modality to block HIV-1 infectivity and replication and shed light on developing NLS inhibitors for AIDS therapy.
Anisotropic proximity–induced superconductivity and edge supercurrent in Kagome metal, K

1−
x

V
3
Sb
5
Authors: Wang Yaojia , Yang Shuo-Ying , Sivakumar Pranava K. , Ortiz Brenden R. , Teicher Samuel M. L. , Wu Heng , Srivastava Abhay K. , Garg Chirag , Liu Defa , Parkin Stuart S. P. , Toberer Eric S. , McQueen Tyrel , Wilson Stephen D. , Ali Mazhar N.
Published: July 2023

Materials with Kagome nets are of particular importance for their potential combination of strong correlation, exotic magnetism, and electronic topology. KV
3
Sb
5
was discovered to be a layered topological metal with a Kagome net of vanadium. Here, we fabricated Josephson Junctions of K

1−
x

V
3
Sb
5
and induced superconductivity over long junction lengths. Through magnetoresistance and current versus phase measurements, we observed a magnetic field sweeping direction–dependent magnetoresistance and an anisotropic interference pattern with a Fraunhofer pattern for in-plane magnetic field but a suppression of critical current for out-of-plane magnetic field. These results indicate an anisotropic internal magnetic field in K

1−
x

V
3
Sb
5
that influences the superconducting coupling in the junction, possibly giving rise to spin-triplet superconductivity. In addition, the observation of long-lived fast oscillations shows evidence of spatially localized conducting channels arising from edge states. These observations pave the way for studying unconventional superconductivity and Josephson device based on Kagome metals with electron correlation and topology.
Liquid solution centrifugation for safe, scalable, and efficient isotope separation
Authors: Wild Joseph F. , Chen Heng , Liang Keyue , Liu Jiayu , Cox Stephen E. , Halliday Alex N. , Yang Yuan
Published: July 2023

A general method of separating isotopes by centrifuging dissolved chemical compounds in a liquid is introduced. This technique can be applied to almost all elements and leads to large separation factors. The method has been demonstrated in several isotopic systems including Ca, Mo, O, and Li with single-stage selectivities of 1.046 to 1.067 per neutron mass difference (e.g., 1.43 in
40
Ca/
48
Ca), which are beyond the capabilities of various conventional methods. Equations are derived to model the process, and the results agree with those of the experiments. The scalability of the technique has been demonstrated by a three-stage enrichment of
48
Ca with a total
40
Ca/
48
Ca selectivity of 2.43, and the scalability is more broadly supported through analogies to gas centrifuge, whereby countercurrent centrifugation can further multiply the separation factor by 5 to 10 times per stage in a continuous process. Optimal centrifuge conditions and solutions can achieve both high-throughput and highly efficient isotope separation.
Technical Comment on “Inhibition mechanism of NKCC1 involves the carboxyl terminus and long-range conformational coupling”
Authors: Flygaard Rasmus Kock , Habeck Michael , Nissen Poul
Published: July 2023

Flygaard, Habeck and Nissen question claims on bumetanide and furosemide binding to sodium-potassium-chloride cotransporter NKCC1.
Guinea pigbots
Authors: Hutson Matthew
Published: July 2023

Doing research with human subjects is costly and cumbersome. Can AI chatbots replace them?
Lava outburst may have led to Snowball Earth
Authors: Wei-Haas Maya
Published: July 2023

Eruption dates suggest chemical weathering of rocks triggered plunging temperatures
Subversion of the Complement System by Pseudomonas aeruginosa
Authors: Hastings Cody James , Syed Shazrah Salim , Marques Cláudia Nogueira Hora
Published: July 2023

Pseudomonas aeruginosa
is an opportunistic pathogen heavily implicated in chronic diseases. Immunocompromised patients that become infected with
P. aeruginosa
usually are afflicted with a lifelong chronic infection, leading to worsened patient outcomes.
16S rRNA Gene PCR/Sequencing of Heart Valves for Diagnosis of Infective Endocarditis in Routine Clinical Practice
Authors: Hong Hyo-Lim , Flurin Laure , Greenwood-Quaintance Kerryl E. , Wolf Matthew J. , Pritt Bobbi S. , Norgan Andrew P. , Patel Robin
Published: July 2023

Sequencing is increasingly used for infective endocarditis (IE) diagnosis. Here, the performance of 16S rRNA gene PCR/sequencing of heart valves utilized in routine clinical practice was compared with conventional IE diagnostics.
Students Need More than Content Knowledge To Counter Vaccine Hesitancy
Authors: Lee Star W. , Tran Stacy
Published: July 2023

To better prepare undergraduate students as informed citizens, they need skills to evaluate and interpret scientific data that are relevant to real world scenarios. Socioscientific issues are typically complicated or debatable issues that require individuals to evaluate their background knowledge and make decisions with respect to social and cultural contexts.
Uncovering Genomic Features and Biosynthetic Gene Clusters in Endophytic Bacteria from Roots of the Medicinal Plant Alkanna tinctoria Tausch as a Strategy To Identify Novel Biocontrol Bacteria
Authors: Naranjo Henry D. , Rat Angélique , De Zutter Noémie , De Ridder Emmelie , Lebbe Liesbeth , Audenaert Kris , Willems Anne
Published: July 2023

Phytopathogenic fungi are a major threat to global food production. The most common management practice to prevent plant infections involves the intensive use of fungicides.
Selective Pressure by Rifampicin Modulates Mutation Rates and Evolutionary Trajectories of Mycobacterial Genomes
Authors: Cebrián-Sastre E. , Chiner-Oms A. , Torres-Pérez R. , Comas I. , Oliveros J. C. , Blázquez J. , Castañeda-García A.
Published: July 2023

Rifampicin is the most important first-line antibiotic against mycobacterial infections, including tuberculosis, one of the top causes of death worldwide. Acquisition of rifampicin resistance constitutes a major global public health problem that makes the control of the disease challenging.
Mesozoic−Cenozoic uplift of Qiman Tagh Range in northern Tibet Plateau, western China
Authors: Jiang Liwei , Liu Yongjiang , Li Weimin , Yuan Sihua , Yuan Jinglian , Li Sanzhong , Liu Boran
Published: July 2023

The Tibetan Plateau is the highest plateau on Earth. As an ideal place to decipher the intracontinental deformation mechanisms, the Tibetan Plateau has become a focus of Cenozoic geological studies. The surface uplift history of the Tibetan Plateau can help us to better understand continental collision and processes ranging from global cooling to the onset of the Asian monsoon. Although a lot of research has been done over the years, the mechanism and timing of uplift of the Tibetan Plateau, especially the northern part, continue to be debated. To address how the Tibetan Plateau developed, a better understanding of the uplift and deformation history is needed. The Qiman Tagh Range lies on the northeastern margin of the Tibetan Plateau. Knowing what led to the exhumation of the Qiman Tagh Range could help us to constrain the tectonic evolution of the northern boundaries of the Tibetan Plateau. Here, we present new apatite fission-track data and the thermal history for the north Qiman Tagh Range. The thermal history modeling indicates that the Qiman Tagh Range experienced a four-stage cooling history (i.e., at ca. 230 Ma, 130−90 Ma, ca. 35 Ma, and 20/10−0 Ma). The results reveal that the initial exhumation of the Qiman Tagh Range occurred in the Middle Triassic due to the collision between the western Qiangtang and eastern Qiangtang terranes and the northward colliding and collaging of the Kumukuri microcontinent with the south Qiman Tagh Terrane. The rapid exhumation during the Cretaceous resulted from the collisions between the Lhasa and Qiangtang terranes. The Cenozoic exhumation may be related to the far-field stress effect of the India-Asia collision. Based on our new data, together with tectonic studies around the Qaidam Basin, we reconstructed the big Paleo-Qaidam Basin as it was during late Mesozoic and early Cenozoic time. The Mesozoic uplift of the Qiman Tagh Range was not high enough to form topographical isolation, but the rapid uplift of the Qiman Tagh at ca. 35 Ma completely separated the Kumukol Basin to the south from the Qaidam Basin to the north. The Qiman Tagh Range has experienced an acceleration of uplift since the Miocene to present, which formed the current basin-range landform. The study constrains the uplift history of the northern Tibetan Plateau and helps us to better understand its growth mechanism.
Tesserae: Surface differences across Venus’s “continents”
Authors: Whitten J.L. , Campbell B.A.
Published: July 2023

The heavily deformed upland tesserae are some of the most ancient geologic units on Venus and, as such, record the longest history of surface evolution. Our geologic understanding of these landforms is based largely on radar images from the Magellan mission, in which gross morphology and small-scale properties can be difficult to deconvolve. Here we use Magellan radar backscatter data for ridge slope surfaces in 22 highland areas to understand whether the tesserae can be subdivided in ways that differentiate surface property variations. Significant variations occur in the mean backscatter of ridge slopes, and we divide the tesserae into two groups with echoes lower (n = 15) or higher (n = 7) than an average tessera radar scattering behavior. While both few-kilometers-scale slopes and centimeter-scale roughness can modulate the radar returns, at least seven out of 15 tesserae with lower echoes are correlated with fine-grained impact crater ejecta deposits that smooth the surface. We propose that distal ejecta deposition plays a major role in creating the observed range of tessera radar properties and obscuring aspects of their original formation and in situ weathering. Our twofold classification system provides a new way of assessing the physical characteristics of tesserae from the Magellan data. Upcoming missions must consider both their original morphology and post-emplacement processes if we are to unlock the geologic record preserved in tesserae.
Field calibration of 40Ar/39Ar K-feldspar multiple diffusion domain (MDD) thermal histories at the Grayback normal fault block, Arizona, USA
Authors: Wong Martin S. , Gans Phillip B. , Roesler Damian
Published: July 2023

Numerous studies suggest that 40Ar/39Ar K-feldspar analyses record continuous thermal histories from ~300 °C to 150 °C due to the presence of multiple diffusion domains (MDDs). Such continuous thermal histories can provide significant advantages over thermochronometers that only record cooling through a single closure temperature. However, some studies have questioned the reliability of 40Ar/39Ar K-feldspar MDD models. This study tested whether MDD modeling produces accurate thermal histories that are calibrated to other thermochronometers. MDD models of samples from the Grayback fault block, Arizona, USA, which has a well-known thermal history and structure, and has accurately reproduced the expected thermal evolution, including the inception, rate, and magnitude of rapid cooling produced by tectonic exhumation. Absolute temperatures of the models also matched well with the known pre-extensional thermal structure of the block. These new data provide strong confirmation that MDD K-feldspar models can provide geologically meaningful and accurate continuous thermal histories.
Heavy metals in ENDS: a comparison of open versus closed systems purchased from the USA, England, Canada and Australia
Authors: Block Ashleigh C , Schneller Liane M , Leigh Noel J , Heo Jinseok , Goniewicz Maciej L , O'Connor Richard J
Published: July 2023

Introduction

Electronic nicotine delivery systems (ENDS) are known to contain heavy metals such as lead (Pb), nickel (Ni) and chromium (Cr). The presence of heavy metals in ENDS may be due to contamination of e-liquids or leaching from elements of the ENDS device. This study investigates differences in ENDS metal concentrations between product type, year of purchase, country of purchase and e-liquid flavour.

Methods

Various open-system (refill e-liquids; n=116) and closed-system (prefilled with e-liquid; n=120) products were purchased in 2017 and 2018 from the USA, England, Canada and Australia. Electrothermal atomic absorption spectroscopy was used to analyse each product for Pb, Ni and Cr. Multiple linear regression and Kruskal-Wallis non-parametric statistical tests were conducted using GraphPad.

Results

Linear regression showed system type, year of purchase (not supported by Kruskal-Wallis), country of purchase and flavour type each had significant impacts on heavy metal concentrations. Open-system e-liquid samples showed no quantifiable levels of heavy metals. Closed-system samples contained concerningly high concentrations of Pb, Ni and Cr. Closed-system samples from the USA commonly displayed higher average heavy metal concentrations than those from England. Some fruit and mint-flavoured closed-system products showed higher heavy metal concentrations than tobacco-flavoured products.

Conclusion

The presence of heavy metals only in closed-system products suggests that metals may be leaching from ENDS device parts. Highly variable heavy metal concentrations between ENDS products demonstrate that various product characteristics may affect the degree of leaching and that there is a need for further regulation of these products.
The unpolarized TMD valence quark distributions of light mesons in the statistical covariant parton model approach
Authors: Abolhadi P. , Yazdanpanah M. M. , Nematollahi H.
Published: July 2023

We investigate the unpolarized transverse momentum dependent (TMD) structure of light mesons at low $$Q^2$$

Q
2

scales in nonperturbative region of quantum chromodynamics (QCD). To this end, we calculate the unpolarized TMD valence quark distribution functions of pion and kaon based on the covariant parton model in which the flavour dependent covariant momentum distribution of quarks is needed. We apply the statistical model for this momentum distribution, for the first time, and also consider the quarks to be massive. The results of TMD valence distributions of light mesons show convenient general properties. We also obtain the integrated valence quark distributions of pion and kaon and compare our results with those of other models.
Recursive Stacked LeakyNet-Based Compartmental Model for Analysis of COVID-19 Transmission Dynamics
Authors: Raychaudhuri Soumya Jyoti , Babu C. Narendra
Published: July 2023

Mathematical models involving complex formulations are used for solving estimation problems across various disciplines. Epidemiological models like susceptible–infected–removed (SIR), and its variations like susceptible–exposed–infected–removed (SEIR) and others are traditionally used for estimating the progression of viral outbreaks. But, real-life situations adapt and respond to ever-changing surroundings and social norms in precise or random or in complex manners. The mathematical formulation-based compartmental models suffer from drawbacks that lead to inaccuracy in predictions. To address this gap, a deep learning (DL)-based hybrid architecture namely residual leaky network (LeakyNet) has been proposed for the first time to the best of authors’ knowledge. This DL-based hybrid architecture is capable of analysing various aspects of the pandemic by training on short-term data to generate probable future trends. Using this hybrid architecture as a building block, a DL-based epidemiological model namely vulnerable–contaminated–immuned (VCI) model has been formulated to analyse short-term historical data of COVID-19. The DL empowered compartmental model has been implemented on an ongoing real-life scenario and the results reveal that the proposed model performs reasonably well in comparison to the contemporary models. The predicted data have been observed to be in good agreement with the actual pandemic data. The prediction models considered in this study have been evaluated using mean absolute percentage error (MAPE).
An Electro-Photonic System for Accelerating Deep Neural Networks
Authors: Demirkiran Cansu , Eris Furkan , Wang Gongyu , Elmhurst Jonathan , Moore Nick , Harris Nicholas C. , Basumallik Ayon , Reddi Vijay Janapa , Joshi Ajay , Bunandar Darius
Published: July 2023

The number of parameters in deep neural networks (DNNs) is scaling at about 5× the rate of Moore’s Law. To sustain this growth, photonic computing is a promising avenue, as it enables higher throughput in dominant general matrix-matrix multiplication (GEMM) operations in DNNs than their electrical counterpart. However, purely photonic systems face several challenges including lack of photonic memory and accumulation of noise. In this article, we present an electro-photonic accelerator, ADEPT, which leverages a photonic computing unit for performing GEMM operations, a vectorized digital electronic application-specific integrated circuits for performing non-GEMM operations, and SRAM arrays for storing DNN parameters and activations. In contrast to prior works in photonic DNN accelerators, we adopt a system-level perspective and show that the gains while large are tempered relative to prior expectations. Our goal is to encourage architects to explore photonic technology in a more pragmatic way considering the system as a whole to understand its general applicability in accelerating today’s DNNs. Our evaluation shows that ADEPT can provide, on average, 5.73× higher throughput per watt compared to the traditional systolic arrays in a full-system, and at least 6.8× and 2.5× better throughput per watt, compared to state-of-the-art electronic and photonic accelerators, respectively.
InferLoc: Hypothesis-Based Joint Edge Inference and Localization in Sparse Sensor Networks
Authors: Bai Xuewei , Wang Yongcai , Ping Haodi , Xu Xiaojia , Li Deying , Wang Shuo
Published: July 2023

Ranging-based localization is a fundamental problem in the Internet of Things and unmanned aerial vehicle networks. However, the nodes’ limited-ranging scope and users’ broad coverage purpose inevitably cause network sparsity or subnetwork sparsity. The performances of existing localization algorithms are extremely unsatisfactory in sparse networks. A crucial way to deal with the sparsity is to exploit the hidden knowledge provided by the unmeasured edges, which inspires this work to propose a hypothesis-based Joint Edge Inference and Localization algorithm called
InferLoc
. InferLoc mines the Unmeasured but Inferable Edges (UIEs). Each UIE is an unmeasured edge, but it is restricted through other edges in the network to be inside a rigid component, so it has only a limited number of possible lengths. We propose an efficient method to detect UIEs and geometric approaches to infer possible lengths for UIEs in 2D and 3D networks. The inferred possible lengths of UIEs are then treated as multiple hypotheses to determine the node locations and the lengths of UIEs simultaneously through a joint graph optimization process. In the joint graph optimization model, to make the 0/1 decision variables for hypotheses selection differentiable, differentiable functions are proposed to relax the 0/1 selections, and rounding is applied to select the final length after the optimization converges. We also prove the condition when a UIE can contribute to sparse localization. Extensive experiments show remarkably better accuracy and efficiency performances of InferLoc than the state-of-the-art network localization algorithms. In particular, it reduces the localization errors by more than 90% and speeds up the convergence time more than 100 times than that of the widely used G2O-based methods in sparse networks.
Agroecology for a Sustainable Agriculture and Food System: From Local Solutions to Large-Scale Adoption
Authors: Ewert Frank , Baatz Roland , Finger Robert
Published: July 2023

Agroecology is often considered as the ultimate and most comprehensive solution to the many challenges of the agricultural and food system, also referred to as the agri-food system. This review investigates to what extent agroecology can become the mainstream model for transforming agriculture toward more sustainable and resilient agri-food systems within the given economic and political context. We find that enhancing agroecology will require a fully integrated multiscale systems approach from farm to region to globe. The approach must consider relevant processes and relationships, actors and stakeholders as well as drivers, sustainability indicators, and the respective assessment methods across all scales. Giving specific attention to drivers related to economy, technology, and policy we point out that agroecology needs to be economically viable for farmers and other food system actors. In particular, new and emerging technologies related to digitalization and breeding should be given more consideration in agroecological transformation. We stress the need for an analytical and operational framework and adequate multiscale policy design and suggest six areas of needed attention to support the large-scale adoption of agroecology.
Plating and Stripping of Lithium Metal Stabilized by a Block Copolymer Electrolyte: Local Current Density Measurement and Modeling
Authors: Maslyn Jacqueline A. , Barai Pallab , McEntush Kyle D. , Harry Katherine J. , Frenck Louise , Loo Whitney S. , Ho Alec S. , Parkinson Dilworth Y. , Srinivasan Venkat , Balsara Nitash P.
Published: July 2023

Plating and stripping of lithium protrusions in lithium metal symmetric cells containing a solid block copolymer electrolyte was studied as a function of time in 3D using time-resolved X-ray tomography. These measurements enabled determination of the spatial variation in current densities at the plating and stripping electrodes. The initial interelectrode distance was 27 μm. Correlation functions were calculated to reveal the relationships between current densities at the two electrodes and local electrolyte thickness. Current densities at opposing electrode locations during protrusion growth is uncorrelated until the local interelectrode distance decreases to less than 6 μm, just before the cell shorts. Mass balance was used to determine the area from which lithium ions that form a protrusion were stripped. Computational modeling of the plating and stripping process reveals the interplay between electrochemical and mechanical driving forces and their effect on nonuniform current distribution. Model predictions were compared with experiments without resorting to any adjustable parameters. The computed correlation functions were in qualitative agreement with experiments. Finally, the model was used to calculate contour plots of electrochemical potential within the electrolyte, shedding light on how geometry, salt concentration, interelectrode distance, and mechanical stress influence local rates of electrochemical reaction.
LEAP2 is associated with cardiometabolic markers but is unchanged by antidiabetic treatment in people with prediabetes
Authors: Byberg Sarah , Blond Martin Bæk , Holm Stephanie , Amadid Hanan , Nielsen Lea Bruhn , Clemmensen Kim Katrine Bjerring , Færch Kristine , Holst Birgitte
Published: July 2023

LEAP2, primarily secreted by the liver, increases with greater body mass, insulin resistance, and liver-specific enzymes in individuals with prediabetes and overweight or obesity. Fasting glucose, body mass, and alanine aminotransferase independently predict LEAP2 levels. LEAP2 is inversely linked to impaired kidney function. Elevated LEAP2 levels might indicate an increased metabolic risk, warranting further investigation into its potential involvement in glucose and body weight control.
Polygenic genetic variation affecting antibody formation underlies hypertensive renal injury in the stroke-prone spontaneously hypertensive rat
Authors: Dhande Isha S. , Zhu Yaming , Joshi Aniket S. , Hicks M. John , Braun Michael C. , Doris Peter A.
Published: July 2023

Here, we used a polygenic animal model of hypertensive renal disease to show that genetic variation affecting antibody formation underlies hypertensive renal disease. We proved the genetic thesis by generating an immunoglobulin knockout in the susceptible animal model.
Chronic environmental hypoxia attenuates innate immunity activation and renal injury in two CKD models
Authors: Zambom Fernanda Florencia Fregnan , Albino Amanda Helen , Tessaro Helena Mendonça , Foresto-Neto Orestes , Malheiros Denise Maria Avancini Costa , Saraiva Camara Niels Olsen , Zatz Roberto
Published: July 2023

Hypoxia is regarded as a major pathogenic factor in chronic kidney disease (CKD). In disagreement with this view, we show here that sustained exposure to low ambient Po2 lessened kidney injury and inflammation in two CKD models: adenine (ADE) excess and chronic nitric oxide (NO) inhibition. Together with our previous findings in the remnant kidney, these observations indicate that local changes elicited by hypoxia may exert renoprotection in CKD, raising the prospect of novel therapeutic strategies for this disease.
Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors
Authors: Xie Qian , Jin Ning , Lu Shanshan
Published: July 2023

In recent years, machine learning has been utilized in health informatics and sports science. There is a great demand and development potential for combining the Internet of Things (IoT) and artificial intelligence (AI) to be applied to football sports. The conventional teaching and training methods of football sports have limited collection and mining of real raw data using wearable devices, and lack human motion capture and gesture recognition based on sports science theories. In this study, a low-cost AI + IoT system framework is designed to recognize football motion and analyze motion intensity. To reduce the communication delay and the computational resource consumption caused by data operations, a multitask learning model is designed to achieve motion recognition and intensity estimation. The model can perform classification and regression tasks in parallel and output the results simultaneously. A feature extraction scheme is designed in the initial data processing, and feature data augmentation is performed to solve the small sample data problem. To evaluate the performance of the designed football motion recognition algorithm, this paper proposes a data extraction experimental scheme to complete the data collection of different motions. Model validation is performed using three publicly available datasets, and the features learning strategies are analyzed. Finally, experiments are conducted on the collected football motion datasets and the experimental results show that the designed multitask model can perform two tasks simultaneously and can achieve high computational efficiency. The multitasking single-layer long short-term memory (LSTM) network with 32 neural units can achieve the accuracy of 0.8372, F1 score of 0.8172, mean average precision (mAP) of 0.7627, and mean absolute error (MAE) of 0.6117, while the multitasking single-layer LSTM network with 64 neural units can achieve the accuracy of 0.8407, F1 score of 0.8132, mAP of 0.7728, and MAE of 0.5966.
New Viral Diseases and New Possible Remedies by Means of the Pharmacology of the Renin-Angiotensin System
Authors: Sansoè Giovanni , Aragno Manuela
Published: July 2023

All strains of SARS-CoV-2, as well as previously described SARS-CoV and MERS-CoV, bind to ACE2, the cell membrane receptor of β-coronaviruses. Monocarboxypeptidase ACE2 activity stops upon viral entry into cells, leading to inadequate tissue production of angiotensin 1-7 (Ang1-7). Acute lung injury due to the human respiratory syncytial virus (hRSV) or avian influenza A H7N9 and H5N1 viruses is also characterized by significant downregulation of lung ACE2 and increased systemic levels of angiotensin II (Ang II). Restoration of Ang1-7 anti-inflammatory, antifibrotic, vasodilating, and natriuretic properties was attempted at least in some COVID-19 patients through i.v. infusion of recombinant human ACE2 or intranasal administration of the modified ACE2 protein, with inconsistent clinical results. Conversely, use of ACE inhibitors (ACEis), which increase ACE2 cell expression, seemed to improve the prognosis of hypertensive patients with COVID-19. To restore Ang1-7 tissue levels in all these viral diseases and avoid the untoward effects frequently seen with ACE2 systemic administration, a different strategy may be hypothesized. Experimentally, when metallopeptidase inhibitors block ACE2, neprilysin (NEP), highly expressed in higher and lower airways, starts cleaving angiotensin I (Ang I) into Ang1-7. We suggest a discerning use of ACEis in normohypertensive patients with β-coronavirus disease as well as in atypical pneumonia caused by avian influenza viruses or hRSV to block the main ACE-dependent effects: Ang II synthesis and Ang1-7 degradation into angiotensin 1-5. At the same time, i.v.-infused Ang I, which is not hypertensive provided ACE is inhibited, may become the primary substrate for local Ang1-7 synthesis via ubiquitous NEP; i.e., NEP could replace inadequate ACE2 function if Ang I was freely available. Moreover, inhibitors of chymase, a serine endopeptidase responsible for 80% of Ang II-forming activity in tissues and vessel walls, could protect patients with atypical pneumonia from Ang II-mediated microvascular damage without reducing arterial blood pressure.
Effect of Multifactor Interaction on the Accuracy of RV Reducers
Authors: Wang Zihui , Xu Rui , Pan Jiabao , Chen Qingqing , Zhang Jing , Wang Jiugen
Published: July 2023

The rotary vector (RV) reducer is one of the widely used mechanical components in industrial systems, specifically in robots. The stability of the transmission performance of the RV reducer is crucial for the efficient operation of industrial equipment. The manufacturing and assembly errors of various components of the RV reducer during the production process are important factors that affect the transmission performance. However, in previous research work, the coupling effect of multiple errors on the transmission accuracy of RV reducer has not been fully considered. Furthermore, a vague relationship between system transmission errors and various errors also has not been thoroughly discussed, which presents a challenge to analyze and optimize the errors of components using the simulation technology of virtual prototype. Therefore, we propose a novel approach to use the response surface method (RSM) to investigate the transmission accuracy of RV reducer. Firstly, based on the constructed virtual prototype of RV reducer, the individual effects of different original errors on the overall transmission error are analyzed. Secondly, a response surface approximation model using RSM is constructed to analyze the effect of multiple error interactions on the transmission accuracy of the RV reducer, and the potential functional relationship between multiple error factors and the overall transmission error is also explored. Finally, the authenticity of the proposed approach is verified by setting up some comparative experiments. This study provides a reference for the efficient analysis and optimization of the transmission accuracy of RV reducers.
What Healthcare Workers Told Us about Working through the COVID-19 Pandemic: A Qualitative Analysis of Digital Audio Stories
Authors: Grobbel Claudia , Lackman Zeman Lori , Homayouni Ramin , Roy Sujoy , Kenney Floyd E. , Mulhem Elie
Published: July 2023

Aims. The purpose of this article is to share the qualitative results of digital stories from 21 healthcare workers during the second wave of the pandemic and compare them with stories analyzed during the first wave. Background. Everyone has personal COVID-19 experiences and memories. Yet, the literature is lacking in how the stories from the healthcare team during the pandemic affected the individual healthcare worker at that time. Methods. A descriptive qualitative study analyzing digital stories was conducted during the second wave of the pandemic of a large Midwest healthcare system. Results. Twenty-one audio stories were analyzed. Four themes revealed were negative emotional response/impact, feelings/statements of optimism and hope, imposed or changing role expectations, and leadership/administration concerns. These themes aligned with the first wave analysis. Conclusions. Healthcare workers during COVID-19 experienced profound upheaval in their usual daily rhythm. This study revealed that there was a paradox of experiences consistently shared through their own stories including perceptions healthcare workers had of their leadership and the perceived system failure. Implications for Nursing Management. The pandemic resulted in healthcare teams expressing anxiety in caring for COVID patients, yet trying to remain hopeful. They also expressed awareness of how their own roles changed and the leadership failures during this time. Strong leadership is required to create a path forward for healthcare workers.
A Real-Time Monitoring System for Cable Tension with Vibration Signals Based on an Automated Algorithm to Sieve Out Reliable Modal Frequencies
Authors: Wu Wen-Hwa , Chen Chien-Chou , Lin Shang-Li , Lai Gwolong
Published: July 2023

Cables or suspenders are the critical force-transmitting components of cable-supported bridges, and their timely tension monitoring is consequently the most important issue in the corresponding structural health monitoring. However, very few works regarding the full automation of vibration-based tension estimation have been reported in the literature. To develop a monitoring system of cable tension based on real-time vibration signals, this research first employs an efficient stochastic subspace identification (SSI) method with tailored parameter selection to continuously identify the three frequencies of adjacent modes for the cables of Mao-Luo-Hsi Bridge. More importantly, an automated sieving algorithm is delicately established to obtain the stable modal frequencies by making the best of the specific modal frequency distribution for cables. The ratios between the frequency values identified from SSI analysis are exhaustively checked to systematically extract the qualified cable frequencies and decide their corresponding mode orders. The tension is finally computed with one available cable frequency according to the priority order predetermined by the statistics of identification rate. Demonstrated by analyzing the vibration signals measured from the stay cable of Mao-Luo-Hsi Bridge in real time for two full years, the effectiveness and robustness of this real-time monitoring system have been extensively testified. The long-term success rates for the immediate determination of dependable tension are found to be perfect for 15 of the 18 investigated cables. As for the other three cables, their corresponding success rates are still higher than 99.99% with very few cases of absent or false tension values.
Supplementary Table 1 from Associations of Dietary Patterns with Colorectal Adenomas in the Prostate, Lung, Colorectal, and Ovarian Cancer Cohort
Authors: Nepal Sushma , Aslani Zahra , Shi Ni , Tabung Fred K.
Published: July 2023

Supplementary table 1 contains results for subgroup analysis by BMI and age group
Supplemental Table 7 from Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas
Authors: Yu Ming , Carter Kelly T. , Baker Kelsey K. , Redman Mary W. , Wang Ting , Vickers Kathy , Li Christopher I. , Cohen Stacey A. , Krane Mukta , Ose Jennifer , Gigic Biljana , Figueiredo Jane C. , Toriola Adetunji T. , Siegel Erin M. , Shibata David , Schneider Martin , Ulrich Cornelia M. , Dzubinski Lynda A. , Schoen Robert E. , Grady William M.
Published: July 2023

Supplemental Table 7: Summary statistics for methylated EVL measurements in Comparison Set 3
Supplemental Table 6 from Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas
Authors: Yu Ming , Carter Kelly T. , Baker Kelsey K. , Redman Mary W. , Wang Ting , Vickers Kathy , Li Christopher I. , Cohen Stacey A. , Krane Mukta , Ose Jennifer , Gigic Biljana , Figueiredo Jane C. , Toriola Adetunji T. , Siegel Erin M. , Shibata David , Schneider Martin , Ulrich Cornelia M. , Dzubinski Lynda A. , Schoen Robert E. , Grady William M.
Published: July 2023

Supplemental Table 6: Summary statistics for methylated EVL measurements in Comparison Set 2
Supplementary Table 2 from Relationship between ABO Blood Group Alleles and Pancreatic Cancer Is Modulated by Secretor (FUT2) Genotype, but Not Lewis Antigen (FUT3) Genotype
Authors: Kim Jihye , Yuan Chen , Amundadottir Laufey T. , Wolpin Brian M. , Klein Alison P. , Risch Harvey A. , Kraft Peter
Published: July 2023

Table S2 lists eight SNPs that characterize ABO blood groups, secretor status, and Lewis antigen.
Supplemental Figure 2 from Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas
Authors: Yu Ming , Carter Kelly T. , Baker Kelsey K. , Redman Mary W. , Wang Ting , Vickers Kathy , Li Christopher I. , Cohen Stacey A. , Krane Mukta , Ose Jennifer , Gigic Biljana , Figueiredo Jane C. , Toriola Adetunji T. , Siegel Erin M. , Shibata David , Schneider Martin , Ulrich Cornelia M. , Dzubinski Lynda A. , Schoen Robert E. , Grady William M.
Published: July 2023

Supplemental Figure 2: Methylation levels of normal colon mucosa in patients with no history of adenoma or cancer ever (group on left) and levels for patients with a history of adenoma(s) or colorectal cancer at initial or a follow-up colonoscopy (group on right) in Comparison Set 1. %mEVL=percentage of DNA that is methylated at the EVL locus assayed.
Supplementary Table S8 from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization
Authors: King Sontoria D. , Veliginti Swathi , Brouwers Martijn C.G.J. , Ren Zhewen , Zheng Wei , Setiawan Veronica W. , Wilkens Lynne R. , Shu Xiao-Ou , Arslan Alan A. , Beane Freeman Laura E. , Bracci Paige M. , Canzian Federico , Du Mengmeng , Gallinger Steven J. , Giles Graham G. , Goodman Phyllis J. , Haiman Christopher A. , Kogevinas Manolis , Kooperberg Charles , LeMarchand Loic , Neale Rachel E. , Visvanathan Kala , White Emily , Albanes Demetrius , Andreotti Gabriella , Babic Ana , Berndt Sonja I. , Brais Lauren K. , Brennan Paul , Buring Julie E. , Rabe Kari G. , Bamlet William R. , Chanock Stephen J. , Fuchs Charles S. , Gaziano J. Michael , Giovannucci Edward L. , Hackert Thilo , Hassan Manal M. , Katzke Verena , Kurtz Robert C. , Lee I.-Min , Malats Núria , Murphy Neil , Oberg Ann L. , Orlow Irene , Porta Miquel , Real Francisco X. , Rothman Nathaniel , Sesso Howard D. , Silverman Debra T. , Thompson Ian M. , Wactawski-Wende Jean , Wang Xiaoliang , Wentzensen Nicolas , Yu Herbert , Zeleniuch-Jacquotte Anne , Yu Kai , Wolpin Brian M. , Duell Eric J. , Li Donghui , Hung Rayjean J. , Perdomo Sandra , McCullough Marjorie L. , Freedman Neal D. , Patel Alpa V. , Peters Ulrike , Riboli Elio , Sund Malin , Tjønneland Anne , Zhong Jun , Van Den Eeden Stephen K. , Kraft Peter , Risch Harvey A. , Amundadottir Laufey T. , Klein Alison P. , Stolzenberg-Solomon Rachael Z. , Antwi Samuel O.
Published: July 2023

Supplementary Table S8 shows results of univariate analysis for 17 imaging and biopsy validated SNPs in the PanC4 sample
Supplementary Table S7 from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization
Authors: King Sontoria D. , Veliginti Swathi , Brouwers Martijn C.G.J. , Ren Zhewen , Zheng Wei , Setiawan Veronica W. , Wilkens Lynne R. , Shu Xiao-Ou , Arslan Alan A. , Beane Freeman Laura E. , Bracci Paige M. , Canzian Federico , Du Mengmeng , Gallinger Steven J. , Giles Graham G. , Goodman Phyllis J. , Haiman Christopher A. , Kogevinas Manolis , Kooperberg Charles , LeMarchand Loic , Neale Rachel E. , Visvanathan Kala , White Emily , Albanes Demetrius , Andreotti Gabriella , Babic Ana , Berndt Sonja I. , Brais Lauren K. , Brennan Paul , Buring Julie E. , Rabe Kari G. , Bamlet William R. , Chanock Stephen J. , Fuchs Charles S. , Gaziano J. Michael , Giovannucci Edward L. , Hackert Thilo , Hassan Manal M. , Katzke Verena , Kurtz Robert C. , Lee I.-Min , Malats Núria , Murphy Neil , Oberg Ann L. , Orlow Irene , Porta Miquel , Real Francisco X. , Rothman Nathaniel , Sesso Howard D. , Silverman Debra T. , Thompson Ian M. , Wactawski-Wende Jean , Wang Xiaoliang , Wentzensen Nicolas , Yu Herbert , Zeleniuch-Jacquotte Anne , Yu Kai , Wolpin Brian M. , Duell Eric J. , Li Donghui , Hung Rayjean J. , Perdomo Sandra , McCullough Marjorie L. , Freedman Neal D. , Patel Alpa V. , Peters Ulrike , Riboli Elio , Sund Malin , Tjønneland Anne , Zhong Jun , Van Den Eeden Stephen K. , Kraft Peter , Risch Harvey A. , Amundadottir Laufey T. , Klein Alison P. , Stolzenberg-Solomon Rachael Z. , Antwi Samuel O.
Published: July 2023

Supplementary Table S7 shows results of univariate analysis for 36 biopsy-confirmed nonalcoholic fatty liver disease SNPs in the PanC4 sample
Supplementary Table S6 from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization
Authors: King Sontoria D. , Veliginti Swathi , Brouwers Martijn C.G.J. , Ren Zhewen , Zheng Wei , Setiawan Veronica W. , Wilkens Lynne R. , Shu Xiao-Ou , Arslan Alan A. , Beane Freeman Laura E. , Bracci Paige M. , Canzian Federico , Du Mengmeng , Gallinger Steven J. , Giles Graham G. , Goodman Phyllis J. , Haiman Christopher A. , Kogevinas Manolis , Kooperberg Charles , LeMarchand Loic , Neale Rachel E. , Visvanathan Kala , White Emily , Albanes Demetrius , Andreotti Gabriella , Babic Ana , Berndt Sonja I. , Brais Lauren K. , Brennan Paul , Buring Julie E. , Rabe Kari G. , Bamlet William R. , Chanock Stephen J. , Fuchs Charles S. , Gaziano J. Michael , Giovannucci Edward L. , Hackert Thilo , Hassan Manal M. , Katzke Verena , Kurtz Robert C. , Lee I.-Min , Malats Núria , Murphy Neil , Oberg Ann L. , Orlow Irene , Porta Miquel , Real Francisco X. , Rothman Nathaniel , Sesso Howard D. , Silverman Debra T. , Thompson Ian M. , Wactawski-Wende Jean , Wang Xiaoliang , Wentzensen Nicolas , Yu Herbert , Zeleniuch-Jacquotte Anne , Yu Kai , Wolpin Brian M. , Duell Eric J. , Li Donghui , Hung Rayjean J. , Perdomo Sandra , McCullough Marjorie L. , Freedman Neal D. , Patel Alpa V. , Peters Ulrike , Riboli Elio , Sund Malin , Tjønneland Anne , Zhong Jun , Van Den Eeden Stephen K. , Kraft Peter , Risch Harvey A. , Amundadottir Laufey T. , Klein Alison P. , Stolzenberg-Solomon Rachael Z. , Antwi Samuel O.
Published: July 2023

Supplementary Table S6 shows results of univariate analysis for 22 imaging defined nonalcoholic fatty liver disease SNPs in the PanC4 sample
Supplementary Figure 1 from Sources of Disparities in Surveillance Mammography Performance and Risk-Guided Recommendations for Supplemental Breast Imaging: A Simulation Study
Authors: Hubbard Rebecca A. , Pujol Toyya A. , Alhajjar Elie , Edoh Kossi , Martin Melissa L.
Published: July 2023

Supplementary Figure 1. Simulation results for surveillance mammography false-negative rates overall and stratified by race and ethnicity in simulated populations of women with a personal history of breast cancer
Supplementary Table S2 from Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization
Authors: King Sontoria D. , Veliginti Swathi , Brouwers Martijn C.G.J. , Ren Zhewen , Zheng Wei , Setiawan Veronica W. , Wilkens Lynne R. , Shu Xiao-Ou , Arslan Alan A. , Beane Freeman Laura E. , Bracci Paige M. , Canzian Federico , Du Mengmeng , Gallinger Steven J. , Giles Graham G. , Goodman Phyllis J. , Haiman Christopher A. , Kogevinas Manolis , Kooperberg Charles , LeMarchand Loic , Neale Rachel E. , Visvanathan Kala , White Emily , Albanes Demetrius , Andreotti Gabriella , Babic Ana , Berndt Sonja I. , Brais Lauren K. , Brennan Paul , Buring Julie E. , Rabe Kari G. , Bamlet William R. , Chanock Stephen J. , Fuchs Charles S. , Gaziano J. Michael , Giovannucci Edward L. , Hackert Thilo , Hassan Manal M. , Katzke Verena , Kurtz Robert C. , Lee I.-Min , Malats Núria , Murphy Neil , Oberg Ann L. , Orlow Irene , Porta Miquel , Real Francisco X. , Rothman Nathaniel , Sesso Howard D. , Silverman Debra T. , Thompson Ian M. , Wactawski-Wende Jean , Wang Xiaoliang , Wentzensen Nicolas , Yu Herbert , Zeleniuch-Jacquotte Anne , Yu Kai , Wolpin Brian M. , Duell Eric J. , Li Donghui , Hung Rayjean J. , Perdomo Sandra , McCullough Marjorie L. , Freedman Neal D. , Patel Alpa V. , Peters Ulrike , Riboli Elio , Sund Malin , Tjønneland Anne , Zhong Jun , Van Den Eeden Stephen K. , Kraft Peter , Risch Harvey A. , Amundadottir Laufey T. , Klein Alison P. , Stolzenberg-Solomon Rachael Z. , Antwi Samuel O.
Published: July 2023

Supplementary Table S2 shows results of univariate analysis for 22 imaging-defined nonalcoholic fatty liver disease SNPs in the PanScan sample
Supplementary Table S5 from Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women
Authors: Choi Jihye , Ha Tae-Woong , Choi Hye-Mi , Lee Han-Byoel , Shin Hee-Chul , Chung Woosung , Han Wonshik
Published: July 2023

Comparison of AUC and E/O ratio between NGRF, PRS and PRS+NGRF models