Health-related quality of life and associated factors among patients with stroke at tertiary level hospitals in Ethiopia. by Ashenafi Zemed, Kalkidan Nigussie Chala, Getachew Azeze Eriku, Andualem Yalew Aschalew

“…A generalized linear model with a gamma distribution and log-link function was used to investigate potential predictors, and variables with a P value of <0.05 were considered statistically significant.…”
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Validity of inferring size-selective mortality and a critical size limit in Pacific salmon from scale circulus spacing. by Terry D Beacham, H Andres Araujo, Strahan Tucker, Marc Trudel

“…Scale circulus spacing has been interpreted as an index for body size, and we reviewed the effect of size-selective mortality with a knife-edge mortality function on descriptive statistics for a scale circulus spacing index (SCSI). …”
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Gitelman syndrome presenting with lower limb paralysis: a case report by Hajar Jamal Teir, Nour AlQaderi, Khadiga Yasser Abdelmonem, Ahmed Elbagir Ibrahim, Abdallah Alzoubi

“…With prompt electrolyte repletion, the patient regained full function and sensation in his lower limbs. Owing to the limited number of reported Gitelman syndrome cases within the Middle East and North Africa region, it is critical to increase exposure and knowledge of Gitelman syndrome.…”
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Lyapunov-Based Pitch Control for Electric Vehicles Using In-Wheel Motors by Andrew Valdivieso-Soto, Renato Galluzzi, Eugenio Tramacere, Riccardo Cespi, Luis M. Castellanos Molina

“…This paper proposes a pitch rate attenuation control exploiting a Lyapunov function that attempts to cancel the pitch rate dynamics from the model. …”
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A hybrid LSTM-transformer model for accurate by Tianren Zhao, Yanhui Zhang, Minghao Wang, Wei Feng, Shengxian Cao, Gong Wang

“…The regression task is optimized using the Mean Squared Error loss function and trained with the Adam optimizer. Experimental results on the MIT battery dataset demonstrate the proposed model achieves excellent performance in a 7-step multi-point prediction task, with a Root Mean Square Error of 0.0085, Mean Absolute Percentage Error of 0.0200, and a coefficient of determination of 0.9902. …”
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Cerebrovascular regulation in patients with active tumors and an acute ischemic stroke: a retrospective analysis by Lehel-Barna Lakatos, Manuel Bolognese, Mareike Oesterreich, Martin Müller, Grzegorz Marek Karwacki

“…The HF gain findings were independent of end-tidal CO2 levels but exhibited some dependency of coherence.DiscussionThe high gain can be interpreted as a generalized high vascular resistance. …”
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VariGAN: Enhancing Image Style Transfer via UNet Generator, Depthwise Discriminator, and LPIPS Loss in Adversarial Learning Framework by Dawei Guan, Xinping Lin, Haoyi Zhang, Hang Zhou

“…The purpose of this research is to present <i>VariGAN</i>, a novel approach that incorporates three additional strategies to optimize GAN-based image style transfer: (1) Improving the quality of transferred images by utilizing an effective UNet generator network in conjunction with a context-related feature extraction module. (2) Optimizing the training process while reducing dependency on the generator through the use of a depthwise discriminator. (3) Introducing LPIPS loss to further refine the loss function and enhance the overall generation quality of the framework. …”
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Sensitivity analysis of reliability constrained, eco optimal solar, wind, hydrogen storage based islanded power system by Nishant Thakkar, Priyanka Paliwal, Deepa Kaliyaperumal, V. Ravikumar Pandi, Narayan Prasad Gupta, Marco Merlo

“…The ideal dimensions of each component are determined in two different cases, each having a unique objective function. The optimal sizing is attained through a metaheuristic optimization method called Butterfly-PSO. …”
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Toward Efficient UAV-Based Small Object Detection: A Lightweight Network with Enhanced Feature Fusion by Xingyu Di, Kangning Cui, Rui-Feng Wang

“…Finally, the WIPIoU loss function is proposed, which integrates the advantages of Wise-IoU, MPDIoU and Inner-IoU, and incorporates the geometric center of bounding box, aspect ratio and overlap degree into a unified measure to improve the localization accuracy of small targets and accelerate the convergence. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. …”
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A data ensemble-based approach for detecting vocal disorders using replicated acoustic biomarkers from electroglottography by Lizbeth Naranjo, Carlos J. Pérez, Daniel F. Merino

“…Future research should focus on collecting comprehensive EGG databases and further exploring multi-class classification methods to solidify EGG and machine learning as a valuable tool for non-invasive assessment of laryngeal function.…”
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Patients’ Expectations for App-Based Therapy in Knee Osteoarthritis: User-Centered Design Approach by Pika Krištof Mirt, Karmen Erjavec, Sabina Krsnik, Petra Kotnik, Hussein Mohsen

“…ObjectivesThis study aimed to identify expectations of patients with KOA for app-based therapy, determine the functional requirements, and assess the main barriers and benefits of using mobile apps for KOA management. …”
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LLM4TDG: test-driven generation of large language models based on enhanced constraint reasoning by Jingqiang Liu, Ruigang Liang, Xiaoxi Zhu, Yue Zhang, Yuling Liu, Qixu Liu

“…The inability of components to operate autonomously leads to insufficient testing of software functionalities and security, further exacerbating the contradiction between the increasing complexity of software architectures and the demand for accurate and efficient software automation testing. …”
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Multi‐modal meta‐analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor by Alok Jaiswal, Prson Gautam, Elina A Pietilä, Sanna Timonen, Nora Nordström, Yevhen Akimov, Nina Sipari, Ziaurrehman Tanoli, Thomas Fleischer, Kaisa Lehti, Krister Wennerberg, Tero Aittokallio

“…Abstract Molecular and functional profiling of cancer cell lines is subject to laboratory‐specific experimental practices and data analysis protocols. …”
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Strain-Specific developmental cardiovascular physiology landmarks of embryonic red jungle fowl and black Sumatran bantam chickens (Gallus gallus) by Dane A. Crossley, II, Kent Thornburg

“…Collectively our data suggest that timing of functional cholinergic tone on heart rate is strain dependent, while beta adrenergic tone on heart rate was functional on similar days of incubation.…”
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Needs and access to health services by people in post-COVID-19 Condition in Brazil: a qualitative study by Kelly Laste Macagnan, Teila Ceolin, Caroline Vasconcellos Lopes, Vanessa de Araujo Marques, Juliana Graciela Vestena Zillmer

“…People in post-COVID-19 condition require continuous care, both in primary and specialized care, with a multidisciplinary team for rehabilitation, prevention of functional dependency progression, and new complications.…”
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Lymphocyte Glucose and Glutamine Metabolism as Targets of the Anti-Inflammatory and Immunomodulatory Effects of Exercise by Frederick Wasinski, Marcos F. Gregnani, Fábio H. Ornellas, Aline V. N. Bacurau, Niels O. Câmara, Ronaldo C. Araujo, Reury F. Bacurau

“…These cells consume both nutrients at high rates in a function-dependent manner. In other words, the pathways that control lymphocyte function and survival directly control the glucose and glutamine metabolic pathways. …”
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SMILES all around: structure to SMILES conversion for transition metal complexes by Maria H. Rasmussen, Magnus Strandgaard, Julius Seumer, Laura K. Hemmingsen, Angelo Frei, David Balcells, Jan H. Jensen

“…Therefore, we also generate SMILES two other ways; one where ligand charges and TMC connectivity are based on natural bond orbital (NBO) analysis from density functional theory (DFT) calculations utilizing recent work by Kneiding et al. …”
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Translating names of constitutional bodies in legal texts: Italian translation of names of Slovenian constitutional bodies in different types of legal texts by Sandro Paolucci

“…The method consists of research to identify actual translations of these names depending on the type of text and its function (normative, expository, or informative). …”
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In silico assessment of genetic variation in KCNA5 reveals multiple mechanisms of human atrial arrhythmogenesis. by Michael A Colman, Haibo Ni, Bo Liang, Nicole Schmitt, Henggui Zhang

“…The mutants exhibited both gain- and loss-of-function of the atrial specific ultra-rapid delayed rectifier K+ current, IKur. …”
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