Measuring disparities in out of hospital cardiac arrest outcomes in Chicago community areas by Marina Del Rios, Shaveta Khosla, Joseph Weber, Pavitra Kotini-Shah, Katie Tataris, Eddie Markul, Terry Vanden Hoek

“…Methods: This is a retrospective cohort study of OHCA treated by Chicago Fire Department EMS from January 1st 2014 through December 31st 2021. …”
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An Unbiased Feature Estimation Network for Few-Shot Fine-Grained Image Classification by Jiale Wang, Jin Lu, Junpo Yang, Meijia Wang, Weichuan Zhang

“…The bias of the acquired feature may cause deviation in the calculation of similarity, which is particularly detrimental to FSFGIC tasks characterized by low inter-class variation and high intra-class variation, thus affecting the classification accuracy. …”
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Enhancing, Refining, and Fusing: Towards Robust Multiscale and Dense Ship Detection by Congxia Zhao, Xiongjun Fu, Jian Dong, Shen Cao, Chunyan Zhang

“…The proposed model achieves mean Average Precision of 99.2%, 93.1%, and 82.1% on the SSDD, HRSID, and LS-SSDD datasets, surpassing the second-best methods by 1.2%, 1.8%, and 1.8%, respectively, which demonstrates its effectiveness.…”
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Population Genetics of Atlantic Salmon (Salmo salar) in Prince Edward Island, Canada by Carissa M. Grove, Scott D. Roloson, Kyle M. Knysh, Scott A. Pavey, David K. Cairns, Robert F. Gilmour Jr., Michael R. van denHeuvel

“…A cluster in northeastern PEI was the most distinct, clustering separately across all methods. Distance between rivers accounted for 25.8% of the variations, whereas stocking intensity did not predict genetic variation. …”
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Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial... by Sher Muhammad Ghoto, Dr. Habibullah Abbasi, Sheeraz Ahmed Memon, Khan Muhammad Brohi, Rabia Chhachhar, Asad Ali Ghanghlo, Imran Aziz Tunio

“…It performs multivariate statistical analysis and geospatial methods to evaluate irrigation groundwater water quality. …”
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A novel on-line dual sensing system for soil property measurement and mapping by Rukayat Afolake Oladipupo, Muhammad Abdul Munnaf, Parsat Sanganta, Ajit Borundia, Abdul Mounem Mouazen

“…The aim of this study is to use an integrated on-line dual-sensor system of vis-NIRS and ISE to estimate and map within-field variation in multiple soil fertility parameters including pH, organic carbon (OC), extractable- phosphorus (P), potassium (K), calcium (Ca), moisture content (MC) and nitrate-N. …”
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Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine by Taesu Jeon, Byung-Soo Kim, Jaecheon Kim, Insu Paek, Chang-Hyuck Lim

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Hybrid Trust-Based Models and Protocols for Enhanced Security and Performance in Dynamic Wireless Sensor Networks and Wireless Ad Hoc Networks by Seshagiri Rao Ganta, Naga Malleswara Rao Nallamothu

“…Conventional methods frequently lack cohesive systems for trust management and node verification, which results in security vulnerabilities and performance shortcomings. …”
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Intelligent real time control strategy and power management based on MPC and LSTM-TCN model for standalone DC microgrid with energy storage by Tariq Limouni, Reda Yaagoubi, Khalid Bouziane, Khalid Guissi, El Houssain Baali

“…Performance evaluation of the proposed control strategy conducted through comparisons with established control methods under the variation of environmental conditions and load demand. …”
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Enhanced Robust Control of Induction Motor Using Combined Optimal Model Predictive Control With Super-Twisting Algorithm by REZGUI, S.-E., NEMOUCHI, B.

“…This synergetic approach ensures stable and efficient performance in the face of internal variations (like parameters variation) and external perturbations (variable references and load torque). …”
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A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

“…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
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Transposable elements as genome regulators in normal and malignant haematopoiesis by Dmitry Prokopov, Hale Tunbak, Eve Leddy, Bryce Drylie, Francesco Camera, Özgen Deniz

“…However, in haematological malignancies, TE reactivation can disrupt genomic integrity, induce structural variations, and dysregulate transcriptional programmes, thereby driving oncogenesis. …”
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Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities. by Marzia Antonella Scelsi, Valerio Napolioni, Michael D Greicius, Andre Altmann, Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the Alzheimer’s Disease Sequencing Project (ADSP)

“…Here we present the NETwork Propagation-based Assessment of Genetic Events (NETPAGE), an integrative approach aimed at investigating the biological pathways through which rare variation results in complex disease phenotypes. …”
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Dynamics and Modern Temperature Regime of Calendar Summer over Stavropol Height by V. I. Volkova, G. K. Badakhova, N. A. Kravchenko, G. Kaplan

“…The main focus of the present article is focused on the study result of the summer air temperature change and its effects on the increasing of average year air temperature. Materials and methods of the research. Some characteristic features of air temperature variations according to the observation data of the weather station Stavropol for the period of 1921 -2020 are analyzed. …”
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A Review of Advances in Brushless Synchronous Motor Drive’s Control Techniques by Tapiwa Mashiri, Mbika Muteba

“…On the contrary, they require accurate tuning and are affected by motor parameter variations. To address these challenges and many others (power factors, torque ripple, current limit, voltage limit, speed limit), advanced control methods are required to enhance the performance of the motor drive control. …”
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A Multinational, Multicenter Study Mapping Models of Kidney Supportive Care Practice by Seren Marsh, Amanda Varghese, Charlotte M. Snead, Barnaby D. Hole, Daniel V. O’Hara, Neeru Agarwal, Elizabeth Stallworthy, Fergus J. Caskey, Brendan J. Smyth, Kathryn Ducharlet

“…Introduction: Kidney supportive care (KSC) integrates kidney and palliative care to improve quality of life for people with chronic kidney disease (CKD). …”
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SMPL Variable Model for 3D Reconstruction and Image Fusion in Animation Media Applications by Tian Xie, Kunpeng Zhao

“…These methods face challenges in managing occlusions in multi-person scenes, capturing a diverse range of poses, and handling extensive deformations in real-world scenarios, which constrains their practical application. …”
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Successful Diagnosis of Sengers Syndrome Using a Comprehensive Genomic Analysis by Kohta Nakamura, Yukiko Yatsuka, Sachie Naito, Akira Hasegawa, Takeya Kasukawa, Atsushi Kondo, Yoshihito Kishita, Yohei Sugiyama, Takanori Onuki, Tomohiro Ebihara, Tomoko Tsuruoka, Takuya Fushimi, Akira Ohtake, Kei Murayama, Atsuko Imai‐Okazaki, Yasushi Okazaki

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DAGSLAM: causal Bayesian network structure learning of mixed type data and its application in identifying disease risk factors by Yuanyuan Zhao, Jinzhu Jia

“…Traditional statistical methods struggle to capture these complexities, necessitating more sophisticated analytical frameworks. …”
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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

“…This study aimed to enhance wastewater treatment at the Yongkang Water Resource Recovery Center by integrating mechanistic modeling results into machine learning (ML). …”
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