A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems by Fernando Hermosillo-Reynoso, Deni Torres-Roman

“…As a case study, we present a multitask model of vehicle traffic surveillance for occlusion detection and vehicle-size classification tasks, with a low-rank MV-DTF layer, achieving up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>92.81</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>95.10</mn><mo>%</mo></mrow></semantics></math></inline-formula> in the normalized weighted Matthews correlation coefficient metric in individual tasks, representing a significant <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>6</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>7</mn><mo>%</mo></mrow></semantics></math></inline-formula> improvement compared to the single-task single-view models.…”
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The Featherweight Giant: Unraveling the Atmosphere of a 17 Myr Planet with JWST by Pa Chia Thao, Andrew W. Mann, Adina D. Feinstein, Peter Gao, Daniel Thorngren, Yoav Rotman, Luis Welbanks, Alexander Brown, Girish M. Duvvuri, Kevin France, Isabella Longo, Angeli Sandoval, P. Christian Schneider, David J. Wilson, Allison Youngblood, Andrew Vanderburg, Madyson G. Barber, Mackenna L. Wood, Natasha E. Batalha, Adam L. Kraus, Catriona Anne Murray, Elisabeth R. Newton, Aaron Rizzuto, Benjamin M. Tofflemire, Shang-Min Tsai, Jacob L. Bean, Zachory K. Berta-Thompson, Thomas M. Evans-Soma, Cynthia S. Froning, Eliza M.-R. Kempton, Yamila Miguel, J. Sebastian Pineda

“…With a density of <0.10 g cm ^−3 , HIP 67522 b is one of the lowest-density planets known. …”
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Features of B cell subsets in primary Sjogren’s syndrome and systemic lupus erythematosus by S. S. Benevolenskaya, I. V. Kudriavtsev, M. K. Serebriakova, I. N. Grigor’yeva, E. S. Kuvardin, A. I. Budkova, S. V. Koniakhin, D. B. Zammoeva, D. B. Motorin, A. Yu. Zaritskey, I. Z. Gaydukova, E. K. Gaydukova, S. V. Lapin, A. L. Maslyanskiy

“…The absolute and relative values of B lymphocyte subpopulations were evaluated using three main classifications: based on IgD and CD38 co-expression, IgD and CD27 co-expression as well as CD38 and CD27 co-expression. …”
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Trends in diabetes monitoring and control among Aboriginal and Torres Strait Islander Peoples attending general practice in urban and rural locations in Australia: a repeated cross... by David Gonzalez-Chica, Nigel Stocks, Susan Williams, Carla Bernardo, Antoinette Liddell, Natalie Pink, Fernanda Baldim Jardim Nobre

“…Adjusted analyses explored trends and differences in outcomes according to practice remoteness using Australian Statistical Geography Standard (ASGS) classifications: major cities (ASGS-1), inner regional (ASGS-2) or rural/remote (ASGS3-5).Results Between 70% and 90% of individuals were monitored for the clinical parameters above, except for BMI/WC (55%–75%). …”
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Impact of Body Mass Index on Coordination, Static and Dynamic Balance in Young Adults: A Case-control Study by Ankita Debnath, Manish Kumar, Mamta Dagar, Vishwajeet Trivedi, Ashish Tyagi, AS Moorthy

“…They were categorised into three groups based on Asian Pacific BMI classifications: 29 subjects in the normal weight group (BMI 18.5-22.9 kg/m2), 26 subjects in the overweight group (BMI 23-24.9 kg/m2), and 35 subjects in the obese group (BMI >25 kg/m2). …”
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Opportunistic assessment of variations in tissue composition content using chest QCT by Jujia Li, Wei Zhang, Xuesong Zhang, Ying Liu, Junfei Li, Fan Yang, Jian Zhao

“…Based on vBMD, the subjects were categorized into three groups: normal, osteopenia, and osteoporosis group. …”
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A Model for Creating and Implementing Ambidextrous Innovation in Iranian Banking by Vahid Khashei Varnamkhasti, Sajad Farsi

“…In the quantitative section, these factors were classified into three levels. The first level included the executive process mechanism, organizational learning, and the creation of technological infrastructure. …”
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Beyond clinical trials – The cost saving associated with dapagliflozin use in Portugal hospital clinical practice by Dulce Brito, Cândida Fonseca, Fátima Franco, Vanessa Lopes, Sara Gonçalves, Rui Baptista, Joana Sequeira, Irene Marques, Rita Rego, Joana Pimenta, José Silva-Cardoso, Margarida Lopes, Mário Almeida

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CLINICAL PRESENTATION AND OUTCOMES OF PATIENTS WITH MYELODYSPLASTIC SYNDROME INTRODUCTION by Jehanzeb Ur Rehman

“…The study population had a mean age of 55.5-years, with a male-to-female ratio of 3:1, consistent with prior studies. Anemia was the most common presenting symptom (85.9%), with infections (27.3%) and bleeding (20.3%) also observed. …”
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In its very early phases, COVID-19 shifts the associations between alcohol consumption and psychological symptoms in young adults by Karina Janson, Arun L.W. Bokde, Sylvane Desrivières, Hugh Garavan, Penny Gowland, Antoine Grigis, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Michael N. Smolka, Nathalie E. Holz, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Herta Flor, Olaf Reis, Emanuel Schwarz, Tobias Banaschewski, Frauke Nees, IMAGEN Consortium, CoviDrug Consortium

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The Abundance and Properties of Barred Galaxies out to z ∼ 4 Using JWST CEERS Data by Yuchen Guo, Shardha Jogee, Eden Wise, Keith Pritchett Jr., Elizabeth J. McGrath, Steven L. Finkelstein, Kartheik G. Iyer, Pablo Arrabal Haro, Micaela B. Bagley, Mark Dickinson, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Casey Papovich, Nor Pirzkal, L. Y. Aaron Yung, Bren E. Backhaus, Eric F. Bell, Rachana Bhatawdekar, Yingjie Cheng, Luca Costantin, Alexander de la Vega, Mauro Giavalisco, Nimish P. Hathi, Benne W. Holwerda, Peter Kurczynski, Ray A. Lucas, Bahram Mobasher, Pablo G. Pérez-González, Fabio Pacucci

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Health program for prEvention of cardiovascuLar disEases based on a risk screeNing strategy with Ankle-brachial index: HELENA study protocol by Gina Domínguez-Armengol, Gina Domínguez-Armengol, Francesc Ribas-Aulinas, Francesc Ribas-Aulinas, Elisabet Balló, Maite Alzamora-Sas, Maite Alzamora-Sas, Mar Serrat-Costa, Anna Ruiz-Comellas, Anna Ruiz-Comellas, Anna Ruiz-Comellas, Maria Jose Forcadell-Peris, Maria Jose Forcadell-Peris, Pere Toran, Ruth Martí-Lluch, Ruth Martí-Lluch, Ruth Martí-Lluch, Anna Ponjoan, Anna Ponjoan, Anna Ponjoan, Jordi Blanch, Lia Alves-Cabratosa, Lluís Zacarías-Pons, Lluís Zacarías-Pons, Eric Tornabell-Noguera, Eric Tornabell-Noguera, Álvaro Sánchez-Pérez, Álvaro Sánchez-Pérez, Anna Berenguera-Ossó, Anna Berenguera-Ossó, Rafel Ramos, Rafel Ramos, Rafel Ramos, Rafel Ramos, Rafel Ramos, The HELENA Study Group

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The Effects of COVID-19 on Financial Distress and Tax Avoidance by Farshad Sabz Alipour, Ali Naderi, Zahra Oryaie, Arash Kazemi

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Health-related quality of life in populations with diabetes, prediabetes, and normal glycemic levels in Guangzhou, China: a cross-sectional study by Meichen Li, Na Liu, Guli Jiang, Hongli Zeng, Jianwen Guo, Darong Wu, Darong Wu, Hui Zhou, Zehuai Wen, Zehuai Wen, Li Zhou, Li Zhou

“…Multivariate linear regression was constructed to adjust for potential confounders, followed by subgroup analyses stratified by sex, age categories, body mass index (BMI) classifications, and hypertension comorbidity status.ResultsA total of 18,605 participants were included in the study. …”
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Analisis Perbandingan Metode Regresi Linier Dan Importance Performance Analysis (IPA) Terhadap Kepuasan Pengguna Pada Layanan E-Government Menggunakan Metode WebQual Modifikasi by Frandika Septa, Anton Yudhana, Abdul Fadlil

“…The results of data analysis are based on the percentage of user satisfaction with the SIMSARPRAS website service with three classifications, namely good, moderate and bad. …”
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Evaluating the Effects of Mitigating Urban Heat Islands of Green Infrastructure on Increasing the Productivity of Light and Heavy Work (Case Study: Tabriz Metropolitan) by Mahdi Herischian, Hassan Mahmoudzadeh, Rasoul Ghorbani

“…The results indicated that in 1984, Lost productivity for heavy work in Tabriz was distributed as follows: 14.15% in the 0% class, 3.53% in the 25% class, 58.25% in the 50% class, and 24.06% in the 75% class. …”
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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

“…It integrates fairness-aware algorithms, susceptible carrier-infected-recovered (SCIR) models, and interpretability frameworks to combine fairness with actionable AI insights supported by robust segmentation and classification metrics. <b>Methods</b>: The research utilised quantitative 3D/4D heart magnetic resonance imaging and tabular datasets from the Cardiac Atlas Project’s (CAP) open challenges to explore AI-driven methodologies for mitigating algorithmic bias in cardiac imaging. …”
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Characterization of recurrent UMOD variants (p.C255Y y p.Q316P) in a Galician cohort: genotype-phenotype correlation and clinical implications by Eloísa Sánchez-Cazorla, Borja Temes-Álvarez, Pilar Oliveros-Martínez, Pedro Fortes-González, María García-Murias, Ana Barcia de la Iglesia, Noa Carrera, Miguel Ángel García-González

“…Genomic analyses were performed by NGS and Sanger sequencing, variant classification were conducted according to ACMG guidelines. …”
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A novel prognostic risk-scoring system based on m5C methylation regulator-mediated patterns for glioma patients by Yutong Wen, Xiaotong Chen, Runtong Li, Haiting Xie, Shuai Zhi, Kaitao Wang, Shang Yi, Wen Liang, Haiyan Hu, Shitao Rao, Xiaoya Gao

“…Utilizing these m5C regulation-related DEGs, we classified glioma patients into three gene cluster groups: A, B, and C. Subsequently, an m5C scoring system was developed through a univariate Cox regression model, quantifying the m5C modification patterns utilizing six DEGs associated with disease prognosis. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Technological Technology is not yet developed in the building product reuse industry through three perspectives: Building deconstruction evolved to harvest materials for recycle rather than harvesting products for reuse; Construction technologies of new buildings indicated to evolve towards concrete intense systems less feasible to be deconstructed for reuse; and The absence of quality control of used products to be applied in new constructions can pose risks to the performance of new buildings. …”
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