Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

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Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models by Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh

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Imaging the large‐scale and cellular response to focal traumatic brain injury in mouse neocortex by Yelena Bibineyshvili, Thomas J. Vajtay, Shiva Salsabilian, Nicholas Fliss, Aastha Suvarnakar, Jennifer Fang, Shavonne Teng, Janet Alder, Laleh Najafizadeh, David J. Margolis

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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

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BD-WNet: Boundary Decoupling-Based W-Shape Network for Road Segmentation in Optical Remote Sensing Imagery by Shilong Fan, Jianlin Xie, Yin Zhuang, He Chen, Zhibao Su, Lianlin Li

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Turbulence Theory for the Characterization of the Surface Urban Heat Island Signature by Gabriel I. Cotlier, Juan Carlos Jimenez, José Antonio Sobrino

“…We analyzed multi-decadal LST datasets to compute spatial power spectra across summer and winter seasons, identifying spectral breakpoints that separate large-scale energy retention from small-scale dissipative processes. …”
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Characterizing genetic pathways unique to autism spectrum disorder at multiple levels of biological analysis by Lukas S. Schaffer, Sophie Breunig, Jeremy M. Lawrence, Isabelle F. Foote, Andrew D. Grotzinger

“…Collectively, these results provide insight into the processes that make ASD biologically unique.…”
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Oblique Flow of Shear Thinning Fluid through an Absorptive Radiative Medium with Hall Effect by S. Rana, K. Mahmud, R. Mehmood, M. M. Bhatti

“…The assumption of Hall current and ion slip is extremely crucial in several industrial and manufacturing processes, such as MHD (magneto hydrodynamics) accelerators, preservation coils, transmission lines, electric converters, and heating elements. …”
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Efficient slice anomaly detection network for 3D brain MRI Volume. by Zeduo Zhang, Yalda Mohsenzadeh

“…Especially for 3D brain MRI data, all the state-of-the-art models are reconstruction-based with 3D convolutional neural networks which are memory-intensive, time-consuming and producing noisy outputs that require further post-processing. We propose a framework called Simple Slice-based Network (SimpleSliceNet), which utilizes a model pre-trained on ImageNet and fine-tuned on a separate MRI dataset as a 2D slice feature extractor to reduce computational cost. …”
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A New Highly Secure Optical Image Security Technique Using Gyrator Transform for Image Security-Related Applications by L. Anusree, M. Abdul Rahiman

“…Each work has its advantages and disadvantages in terms of computational complexity, security level, flexibility, quality, and so on. …”
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Identity Roles and Sociality on TikTok: Performance in Hereditary Cancer Content (#BRCA and #Lynchsyndrome) by Hannah Ditchfield, Stefania Vicari

“…Due to TikTok’s distinctive technical structure, scholars have argued that processes of sociality and identity construction have changed, calling into question some of the founding principles of how we understand identity performance on social media. …”
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Modeling Bus Passenger Flow Dynamics Using the Cell Transmission Model for Real-Time Congestion Management by Ala Alobeidyeen

“…By integrating real-time data streams—including GPS trajectories, automatic passenger counters (APCs) records, and VISSIM-simulated traffic dynamics—the model captures critical nonlinearities in boarding/alighting processes and network-wide congestion propagation at shared stops. …”
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Mapeamento ambiental integrado: município de Porto Alegre, RS by Heloise Canal, Roberto Verdum

“…In the case of Porto Alegre, were compiled from various sources the data on the topography, the hydrology, climatic conditions, to build and cultivate spaces and green areas, besides the studies that addressed the degradation of its elements. The storage, processing, and output data were performed using application specific computational manipulation of geographic information - Geographic Information System (GIS). …”
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ANALYSIS OF THE TECHNICAL EFFICIENCY OF SNAIL FARMERS IN ABIA STATE, NIGERIA by Onwuchekwa Raphael IHEKE, Nkechi Favour NWANKWO

“…Assessing the relative performance of the processes used in transforming given inputs into output is key to increasing agricultural productivity and enhancing food security and income. …”
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Real-time scattering in Ising field theory using matrix product states by Raghav G. Jha, Ashley Milsted, Dominik Neuenfeld, John Preskill, Pedro Vieira

“…In the postcollision wave function, particle tracks from all final-state channels occur in superposition; processes of interest can be isolated by projecting the wave function onto definite particle sectors, or by evaluating energy density correlation functions. …”
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Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives by Muqadas Shahzadi, Hamad Rafique, Ahmad Waheed, Hina Naz, Atifa Waheed, Feruza Ravshanovna Zokirova, Humera Khan

“…This paper examines some of the recent advances of AI for CAR-based therapies, for example, using deep learning (DL) to design CARs that target multiple antigens and avoid antigen escape; using natural language processing to extract relevant information from clinical reports and literature; using computer vision to analyze the morphology and phenotype of CAR cells; using reinforcement learning to optimize the dose and schedule of CAR infusion; and using AI to predict the efficacy and toxicity of CAR-based therapies. …”
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Solving the differential biochemical Jacobian from metabolomics covariance data. by Thomas Nägele, Andrea Mair, Xiaoliang Sun, Lena Fragner, Markus Teige, Wolfram Weckwerth

“…In summary, the presented strategy allows for the identification of regulatory key processes in the biochemical network directly from metabolomics data and is a fundamental achievement for the functional interpretation of metabolomics data.…”
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Ginger extract inhibits c-MET activation and suppresses osteosarcoma in vitro and in vivo by Ruoping Yanzhang, Mingyang Yan, Zhaojie Yang, Huijun Zhang, Yin Yu, Xiangping Li, Ruifang Shen, Xiao Chu, Siyuan Han, Ziliang Zhang, Junyan Teng, Hao Li, Tao Li, Guoguo Jin, Zhiping Guo

“…Functional studies involving c-MET knockdown among OS cell lines were produced to elucidate the functional role of c-MET in OS cellular processes. Results In vitro studies demonstrated that ginger extract administration impeded OS cell progress while inducing apoptosis and inhibiting migration. …”
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Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

“…Structural covariance networks (SCN) describe the shared variation in morphological properties emerging from coordinated neurodevelopmental processes, This study evaluates the potential of SCNs as diagnostic biomarker for schizophrenia.MethodsWe compared the diagnostic value of two SCN computation methods derived from regional gray matter volume (GMV) in 154 patients with a diagnosis of first episode psychosis or recurrent schizophrenia (PAT) and 366 healthy control individuals (HC). …”
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Stress-eliminated liquid-phase fabrication of colloidal films above the critical crack thickness by Shiyuan Liu, Ying Hong, Wang Hong, Yi Zheng, Xiaodan Yang, Xuemu Li, Zhuomin Zhang, Xiaodong Yan, Yao Shan, Weikang Lin, Zehua Peng, Xingqi Zhang, Xi Yao, Zuankai Wang, Zhengbao Yang

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