bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long noncoding RNA profiling unveils LINC00960 as unfavorable prognostic biomarker promoting triple negative breast cancer progression
Authors: Elango Ramesh , Radhakrishnan Vishnubalaji , Rashid Sameera , Al-Sarraf Reem , Akhtar Mohammed , Ouararhni Khalid , Alajez Nehad M. 
Published: July 2024

AbstractLong noncoding RNAs (lncRNAs) play a critical role in breast cancer pathogenesis, including Triple-Negative Breast Cancer (TNBC) subtype. Identifying the lncRNA expression patterns across different breast cancer subtypes could provide valuable insights into their potential utilization as disease biomarkers and therapeutic targets. In this study, we profiled lncRNA expression in 96 breast cancer cases, revealing significant differences compared to normal breast tissue. Variations across breast cancer subtypes, including Hormone Receptor-positive (HR + ), HER2-positive (HER2 + ), HER2 + HR + , and TNBC, as well as in relation to tumor grade and patients’ age at diagnosis were observed. TNBC and HER2+ subtypes showed distinct clustering, while HER2 + HR+ tumors clustered closer to HR+ tumors based on their lncRNA profiles. Our data identified numerous enriched lncRNAs in TNBC, notably the elevated expression of LINC00960, which was subsequently validated in two additional datasets. Analysis of LINC00960 expression in an independent TNBC cohort (n = 360) revealed elevated expression of LINC00960 to correlate with cell movement, invasion, proliferation, and migration functional categories. Depletion of LINC00960 significantly reduced TNBC cell viability, colony formation, migration, and three-dimensional growth, while increasing cell death. Mechanistically, transcriptomic profiling of LINC00960-depleted cells confirmed its tumor-promoting role, likely through sponging of hsa-miR-34a-5p, hsa-miR-16-5p, and hsa-miR-183-5p, leading to the upregulation of cancer-promoting genes including BMI1, KRAS, and AKT3. Our findings highlight the distinct lncRNA expression patterns in breast cancer subtypes and underscore the crucial role for LINC00960 in promoting TNBC pathogenesis, suggesting its potential utilization as a prognostic marker and therapeutic target.
Evidence of dark oxygen production at the abyssal seafloor
Authors: Sweetman Andrew K. , Smith Alycia J. , de Jonge Danielle S. W. , Hahn Tobias , Schroedl Peter , Silverstein Michael , Andrade Claire , Edwards R. Lawrence , Lough Alastair J. M. , Woulds Clare , Homoky William B. , Koschinsky Andrea , Fuchs Sebastian , Kuhn Thomas , Geiger Franz , Marlow Jeffrey J. 
Published: July 2024

AbstractDeep-seafloor organisms consume oxygen, which can be measured by in situ benthic chamber experiments. Here we report such experiments at the polymetallic nodule-covered abyssal seafloor in the Pacific Ocean in which oxygen increased over two days to more than three times the background concentration, which from ex situ incubations we attribute to the polymetallic nodules. Given high voltage potentials (up to 0.95 V) on nodule surfaces, we hypothesize that seawater electrolysis may contribute to this dark oxygen production.
A foundation model for clinical-grade computational pathology and rare cancers detection
Authors: Vorontsov Eugene , Bozkurt Alican , Casson Adam , Shaikovski George , Zelechowski Michal , Severson Kristen , Zimmermann Eric , Hall James , Tenenholtz Neil , Fusi Nicolo , Yang Ellen , Mathieu Philippe , van Eck Alexander , Lee Donghun , Viret Julian , Robert Eric , Wang Yi Kan , Kunz Jeremy D. , Lee Matthew C. H. , Bernhard Jan H. , Godrich Ran A. , Oakley Gerard , Millar Ewan , Hanna Matthew , Wen Hannah , Retamero Juan A. , Moye William A. , Yousfi Razik , Kanan Christopher , Klimstra David S. , Rothrock Brandon , Liu Siqi , Fuchs Thomas J. 
Published: July 2024

AbstractThe analysis of histopathology images with artificial intelligence aims to enable clinical decision support systems and precision medicine. The success of such applications depends on the ability to model the diverse patterns observed in pathology images. To this end, we present Virchow, the largest foundation model for computational pathology to date. In addition to the evaluation of biomarker prediction and cell identification, we demonstrate that a large foundation model enables pan-cancer detection, achieving 0.95 specimen-level area under the (receiver operating characteristic) curve across nine common and seven rare cancers. Furthermore, we show that with less training data, the pan-cancer detector built on Virchow can achieve similar performance to tissue-specific clinical-grade models in production and outperform them on some rare variants of cancer. Virchow’s performance gains highlight the value of a foundation model and open possibilities for many high-impact applications with limited amounts of labeled training data.
Additively manufactured, long, serpentine submillimeter channels by combining binder jet printing and liquid-phase sintering
Authors: Do Truong , Suen Hawke , Mehboudi Aryan , Bauder Tyler , Rudolf Christopher , Kwon Patrick , Yeom Junghoon 
Published: July 2024

AbstractMetallic microfluidic devices made from powder-bed additive manufacturing systems have received increasing attention, but their feasible channel geometry and complexity are often limited by lack of an effective approach to removing trapped powder particles within the channels or conduits of the sintered parts. Here, we present an innovative approach to fabricating long serpentine, high-aspect-ratio submillimeter channels made of stainless steel 316L (SS) by binder jet printing (BJP) and liquid-phase sintering. We leverage the unique nature of the BJP process, that is printing and consolidation steps are decoupled, enabling us to join two or more parts during the sintering step. Instead of constructing the channel device as a single part, we print multiple parts for easy powder removal and later join them to form enclosed channels. The key innovation lies in adding sintering additives like boron nitrides (BN) to the SS stock powder—at the SS/BN interfaces, liquid phase is locally generated at temperature much lower than the SS melting temperature, facilitating the bonding of the multiple parts as well as the consolidation of parts for near-full density. We systematically vary the sintering temperature to show how it affects the joining quality and the channel shape distortion. The joining quality such as the fracture strengths of the joined samples is measured by a pull test while the shape distortion is characterized by various imaging techniques. The feasibility of the proposed approach is demonstrated by fabricating a 400-mm-long, fully enclosed serpentine channel with a rectangular cross-section of 0.5 mm in width and 1.8 mm in height. The pressure drop across this 3D-printed SS serpentine channels is measured for air flow and compared to a standard gas flow model, showing that the device is free of leakage or clogs.
Jasmonic Acid and Salicylic Acid improved resistance against Spodoptera frugiperda Infestation in maize by modulating growth and regulating redox homeostasis
Authors: Kanwal Bilqees , Tanwir Samina , Ahmad Farooq , Ahmad Jam Nazeer 
Published: July 2024

AbstractExploring host plant resistance and elevating plant defense mechanisms through the application of exogenous elicitors stands as a promising strategy for integrated pest management. The fall armyworm, a pernicious menace to grain crops in tropical and subtropical regions, stands as a formidable threat due to its capacity for devastation and a wide-ranging spectrum of host plants. There is no literature regarding artificially induced resistance in maize against fall armyworm (Spodoptera frugiperda) by exogenous application of phytohormones. The present investigation was performed to evaluate the role of jasmonic acid (JA) and salicylic acid (SA) on two maize hybrids namely FH-1046 and YH-1898 against fall armyworm. Results showed that plant height, biomass and lengths, fresh and dry weight of root shoot which decreased with armyworm infestation improved with phytohormonal application. JA treatment resulted in a higher increase in all attributes as compared to SA treatment. Improvement in relative water contents, photosynthetic pigments and pronounced levels of phenol and proline accumulation were observed in infested plants after JA treatment. Infested plants recovered from oxidative stress as JA application activated and increased the antioxidant enzyme activity of superoxide dismutase, peroxidase and polyphenol oxidase activity in both FH-1046 and YH-1898 . The oxidative stress reduction in infested plants after JA treatment was also evident from a fair decrease in MDA and H2O2 in both varieties. The SA and JA mediated genes expression was studied and it was found that in FH1046 maize cultivar, JA dependent genes, particularly marker genes PR1 and Lox5 were highly expressed along with TPS10 and BBT12. Whereas SPI, WRKY28, ICS and PAL were shown to be activated upon SA application. Evidently, both JA and SA elicited a robust defensive response within the maize plants against the voracious S. frugiperda, which in consequence exerted a discernible influence over the pest's developmental trajectory and physiological dynamics. A decrease in detoxification enzyme activity of the insects was observed after feeding on treated plants. Moreover, it was recorded that the survival and weight gain of FAW feeding on phytohormone treated maize plants also decelerated. In conclusion, FH-1046 was found to be more tolerant than YH-1898 against fall armyworm infestation and 1 mM JA was more effective than 1 mM SA for alleviation of fall armyworm stress. Therefore, it was inferred that phytohormones regulated redox homeostasis to circumvent oxidative damage and mediate essential metabolic events in maize under stress. To our current understanding, this study is the very first presentation of induced resistance in maize against S. frugiperda with the phytohormonal application (JA and SA).
Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations
Authors: Huang Jane J. , Channa Roomasa , Wolf Risa M. , Dong Yiwen , Liang Mavis , Wang Jiangxia , Abramoff Michael D. , Liu T. Y. Alvin 
Published: July 2024

AbstractDiabetic eye disease (DED) is a leading cause of blindness in the world. Annual DED testing is recommended for adults with diabetes, but adherence to this guideline has historically been low. In 2020, Johns Hopkins Medicine (JHM) began deploying autonomous AI for DED testing. In this study, we aimed to determine whether autonomous AI implementation was associated with increased adherence to annual DED testing, and how this differed across patient populations. JHM primary care sites were categorized as “non-AI” (no autonomous AI deployment) or “AI-switched” (autonomous AI deployment by 2021). We conducted a propensity score weighting analysis to compare change in adherence rates from 2019 to 2021 between non-AI and AI-switched sites. Our study included all adult patients with diabetes (>17,000) managed within JHM and has three major findings. First, AI-switched sites experienced a 7.6 percentage point greater increase in DED testing than non-AI sites from 2019 to 2021 (p < 0.001). Second, the adherence rate for Black/African Americans increased by 12.2 percentage points within AI-switched sites but decreased by 0.6% points within non-AI sites (p < 0.001), suggesting that autonomous AI deployment improved access to retinal evaluation for historically disadvantaged populations. Third, autonomous AI is associated with improved health equity, e.g. the adherence rate gap between Asian Americans and Black/African Americans shrank from 15.6% in 2019 to 3.5% in 2021. In summary, our results from real-world deployment in a large integrated healthcare system suggest that autonomous AI is associated with improvement in overall DED testing adherence, patient access, and health equity.
An adaptive approximation‐free control for leader‐follower tracking of multi‐agent systems with unknown nonlinearity and disturbance
Authors: Hu Xiaoyan , Menon Prathyush P , Edwards Christopher , Wen Guilin , Yin Hanfeng 
Published: July 2024

AbstractDue to variable and complex work environments, nonlinearities, uncertainty and disturbances are inevitable in multi‐agent systems. Approximation‐free control can address these issues without involving approximators, such as fuzzy logic systems and neural networks. However, some issues like the singularity problem caused by the signals exceeding the preset boundary in changing work conditions still remain. This paper proposes an adaptive and reliable approximation‐free control, which comprises a novel singularity compensator and a modified transforming function. The proposed control scheme performs better in terms of convergence rate and overshoot, avoids issues relating to singularity, and has added flexibility in terms of parameter choice. The proposed control law adapts to changes in operating conditions and nonlinearities—the efficacy of which is demonstrated using simulations.
Optimal adaptive coordination of overcurrent relays in power systems protection using a new hybrid metaheuristic algorithm
Authors: Sadeghi Samira , Naghshbandy Ali Hesami , Moradi Parham , Bagheri Abed 
Published: July 2024

AbstractAdvent of distributed generation and progression towards an intelligent grid infrastructure within the domain of contemporary electrical power systems have created dynamic load profiles. Accompanying these developments, protective relays are faced with an evolving electrical load landscape and variable fault current conditions, resulting in disparate operational timings throughout the diurnal cycle. In light of these challenges, this paper delineates the formulation and simulation of a novel adaptive protection strategy for overcurrent relays, meticulously tailored to accommodate the fluctuations in electrical load. To construct a robust framework for this adaptive mechanism, a series of hypothetical fault current scenarios are meticulously crafted to activate the relays within the briefest time interval feasible. Further innovating within this sphere, this paper introduces a new hybrid algorithm, deftly amalgamating the strengths of three preeminent metaheuristic models: Improved Harmony Search, Particle Swarm Optimization, and Differential Evolution. Simulations and analyses substantiate the efficacy of the algorithm in optimizing the coordination among overcurrent relays aiming to uphold the overarching protective imperatives of the grid. For the IEEE 6‐bus system, the mean value of the objective function during 24 h in Monte Carlo is 292.6607 and very close to 272.0758 in the simulation of eight stochastic scenarios, which contributes to the validity of the approach in practical settings. Also, in the IEEE 30‐bus system, the results of the mean relay operation time set for the hours with the lowest and highest consumption load are 17.1297 and 14.8049 s, which reveals the increase in the operation speed of the relays.
Stationsäquivalente Behandlung (StäB) gerontopsychiatrischer
Patienten in einer deutschen Großstadt – Eine Beobachtungsstudie
Authors: Couturier Samuel Paul , Spielmann-Benson Gloria , Frölich Lutz , Hausner Lucrezia 
Published: July 2024

Zusammenfassung
Zielsetzung Patientencharakterisierung und Evaluation der
gerontopsychiatrischen Stationsäquivalenten Behandlung (StäB-G) in einer
deutschen Großstadt.
Methoden Erhebung von soziodemographischen und klinischen Daten, sowie
Erfassung von klinischem Schweregrad (CGI), gesundheitlicher und sozialer
Funktionsfähigkeit (HoNOS-D) und der autonomen Durchführung von Aktivitäten des
täglichen Lebens (IADL) zu Beginn und Ende der StäB-G.
Ergebnisse Es wurden 53 Patienten (Alter: MW=74,81, SD=7,88; 77,4% Frauen)
analysiert. Psychiatrische Hauptdiagnosen waren affektive Störungen (n=25),
Schizophrenie und schizotype Störungen (n=20). 12 Patienten (22,64%) wiesen eine
kognitive Störung auf. CGI, HoNOS-D und IADL zeigen eine signifikante
Verbesserung über die Behandlungszeit (gepaarter t-Test, p<0,001).
Schlussfolgerung In einer städtisch-geprägten gerontopsychiatrischen
Population ist StäB-G gut implementierbar. Symptomschwere, soziale
Funktionsfähigkeit und Autonomie verbesserten sich signifikant.
A Medical Student-Led Multipronged Initiative to Close the Digital Divide in Outpatient Primary Care
Authors: Jiangliu Yilan , Kim Hannah T. , Lazar Michelle , Liu Eileen , Mantri Saaz , Qiu Edwin , Berube Megan , Sood Himani , Walia Anika S. , Biondi Breanne E. , Mesias Andres M. , Mishuris Rebecca , Buitron de la Vega Pablo 
Published: July 2024

Abstract
Background The coronavirus disease 2019 pandemic accelerated the use of telehealth. However, this also exacerbated health care disparities for vulnerable populations.
Objectives This study aimed to explore the feasibility and effectiveness of a medical student-led initiative to identify and address gaps in patient access to digital health resources in adult primary care clinics at an academic safety-net hospital.
Methods Medical students used an online HIPAA-compliant resource directory to screen for digital needs, connect patients with resources, and track outcome metrics. Through a series of Plan-Do-Study-Act (PDSA) cycles, the program grew to offer services such as information and registration for subsidized internet and phone services via the Affordable Connectivity Program (ACP) and Lifeline, assistance setting up and utilizing MyChart (an online patient portal for access to electronic health records), orientation to telehealth applications, and connection to community-based digital literacy training.
Results Between November 2021 and March 2023, the program received 608 assistance requests. The most successful intervention was MyChart help, resulting in 83% of those seeking assistance successfully signing up for MyChart accounts and 79% feeling comfortable navigating the portal. However, subsidized internet support, digital literacy training, and telehealth orientation had less favorable outcomes. The PDSA cycles highlighted numerous challenges such as inadequate patient outreach, time-consuming training, limited in-person support, and unequal language assistance. To overcome these barriers, the program evolved to utilize clinic space for outreach, increase flier distribution, standardize training, and enhance integration of multilingual resources.
Conclusion This study is, to the best of our knowledge, the first time a medical student-led initiative addresses the digital divide with a multipronged approach. We outline a system that can be implemented in other outpatient settings to increase patients' digital literacy and promote health equity, while also engaging students in important aspects of nonclinical patient care.
Consumer liability and firm responsiveness: evidence from automobile recalls
Authors: Majid Kashef Abdul , Bapuji Hari 
Published: July 2024

AbstractRegulations for product recalls differ internationally. In some countries, the responsibility rests entirely with manufacturers to quickly take corrective measures to ensure consumer safety. In other countries, penalties may also be imposed on consumers who persist in using products that have been recalled. We hypothesize that firm responsiveness (as measured by the time between the product release and the recall) will be higher in markets where product safety regulations that include consumer liability than in markets where product safety regulations focus solely on firms, and that firms that standardize their vehicles across such markets become more responsive in both those markets. We test our hypotheses using data on 569 automobile recalls issued during 2003 to 2019 in four different markets (the US, Australia, Germany, and the UK) that differ in their regulatory focus. Our empirical examination using survival analysis techniques with an accelerated failure time model confirms that the time to recall is shorter in countries that include consumer liability and for standardized vehicles that are sold across countries that include and exclude consumer liability.
Design of a real-time frequency stabilization system for dual laser-based interferometer on EAST
Authors: Wang Y. , Yao Y. , Liu H. Q. , Zhang Y. , Zhang J. M. , Jie Y. X. , Zou Z. Y. 
Published: July 2024

This study addresses the challenge of intermediate frequency (IF) instability in the far-infrared polarimeter/interferometer (POINT) of the Experimental Advanced Superconducting Tokamak (EAST) to ensure the accuracy and stability of electron density measurements. Sudden and extensive IF shifts of the lasers can cause instability and even measurement errors of the diagnostic system. This paper introduces a comprehensive solution for stabilizing IF fluctuations. First, analog IF is converted into digital form using an analog-to-digital converter, and the digitalized signal is processed by a digital signal system based on a ZYNQ processor. The exact value of the IF is obtained by acquiring the point of maximum amplitude through the fast Fourier transform method, while the ZYNQ processor loaded with a fuzzy control algorithm will precisely adjust the laser cavity length via piezoelectric ceramics, achieving frequency stabilization within a target range. Comparative analyses confirm the method’s efficacy in managing sudden frequency shifts, maintaining stability within 850 ± 100 kHz (a central frequency of 850 kHz, fluctuating within a range of ±100 kHz), with a control speed of 0.5 s per action and robust against variations up to 270 kHz. This efficient and rapid control mechanism fulfills the critical need for IF stabilization, ensuring the stability and precision of the POINT system in the EAST discharge experiments.
Unusual dynamics of tetrahedral liquids caused by the competition between dynamic heterogeneity and structural heterogeneity
Authors: Lee Shao-Chun , Z Y 
Published: July 2024

Tetrahedral liquids exhibit intriguing thermodynamic and transport properties because of the various ways tetrahedra can be packed and connected. Recently, an unusual temperature dependence of the stretching exponent β in a model tetrahedral liquid ZnCl2 from Tm + 85 K to Tm + 35 K has been reported using neutron-spin echo spectroscopy. This discovery stands in sharp contrast to other glass-forming liquids. In this study, we conducted neural network force field driven molecular dynamic simulations of ZnCl2. We found a non-monotonic temperature dependence of β from liquid to supercooled liquid temperatures. Further structural decomposition and dynamic analysis suggest that this unusual dynamic behavior is a result of the competition between the decrease in the diversity of tetrahedra motifs (structural heterogeneity) and the increase in glassy dynamic heterogeneity. This result may contribute to new understandings of the structural relaxation of other network liquids.