AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…Moreover, the coarse predictions and refined predictions are combined by using a loss function that employs cross-entropy loss and generalized dice loss to efficiently tackle the challenge of class imbalance among nuclei in histology images. …”
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REALITIES AND EFFECTIVENESS OF THE UKRAINIAN BANKING SYSTEM by Maryna Korol, Olena Bazhenova, Ihor Korol, Grygoriy Starchenko, Volodymyr Bazhenov, Oksana Banna

“…In addition, during the year after the crisis, the volume of deposits in the banking system is demonstrating a decrease. Other variables do not show any response to the crisis. …”
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Accurate Sugarcane Detection and Row Fitting Using SugarRow-YOLO and Clustering-Based Spline Methods for Autonomous Agricultural Operations by Guiqing Deng, Fangyue Zhou, Huan Dong, Zhihao Xu, Yanzhou Li

“…This model introduces the WTConv convolutional modules to expand the sensory field and improve computational efficiency, adopts the iRMB inverted residual block attention mechanism to enhance the modeling capability of crop spatial structure, and uses the UIOU loss function to effectively mitigate the misdetection and omission problem in the region of dense and overlapping targets. …”
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Biomechanical Analysis of <i>Camellia oleifera</i> Branches for Optimized Vibratory Harvesting by Rui Pan, Ziping Wan, Mingliang Wu, Shikui Lu, Lewei Tang

“…The nonlinear least squares method, based on the hyperbolic tangent function, was employed to fit the bending load–deflection curves of the branches. …”
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Strategies to support the mental health and well-being of health and care workforce: a rapid review of reviews by Cindy E. Frias, Nimesh Samarasinghe, Cecilia Cuzco, Jaseem Koorankot, Andrés de Juan, Husameldin Mohamed Ali Rudwan, Hanan F. Abdul Rahim, Adela Zabalegui, Iain Tulley, Sanaa T. Al-Harahsheh, Mona Shaheen S. T. Al-Homaiddi, Meredith Fendt-Newlin, Jim Campbell

“…Sixteen studies reported two types of mental health and well-being interventions: individual-level interventions and organizational-level interventions with specific impact on mental health and work environment variables. No specific policy interventions were found. …”
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Neighborhood competition improves biomass estimation for Scots pine (Pinus sylvestris L.) but not Pyrenean oak (Quercus pyrenaica Willd.) in young mixed forest stands by Eric Cudjoe, Ricardo Ruiz-Peinado, Hans Pretzsch, Shamim Ahmed, Felipe Bravo

“…Therefore, accurate biomass estimation is essential for understanding ecosystem functioning and informing forest management strategies to mitigate climate change. …”
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Reconfiguration of dynamic brain networks in heart failure with preserved ejection fraction: Linking neurovascular coupling and cardiac dysfunction by Xiulin Liang, Qinghua Zhang, Chuanlong Zhang, Jingjing Liu, Pengcheng Sang, Qing Mao, Lei Wang

“…Results: (1) Static network topology properties exhibited significantly decreased local network efficiency among patients with HFpEF. The connectivity strength and information processing efficiency were diminished in the left parahippocampal gyrus, left cingulate gyrus, and right insular gyrus brain regions, and improved in the left thalamus, right fusiform gyrus, and right precuneus regions. (2) Dynamic network topology properties of patients with HFpEF showed decreased variability in critical nodes and brain subregions (e.g., the superior frontal gyrus, left amygdala, and left fusiform gyrus) and compensatory increases in the variability of specific regions (e.g., right insular gyrus, right postcentral gyrus, and right temporal gyrus). (3) In HFpEF, the static and dynamic functional brain network topology properties of the fusiform gyrus, cingulate gyrus, superior temporal gyrus, precuneus, parahippocampal gyrus, insular gyrus, and amygdala regions were significantly correlated with cardiac structural and functional indices, such as LVDd, LVMI, and E/e′ ratio. …”
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Characterizing Performance on a Suite of English-Language NeuroUX Mobile Cognitive Tests in a US Adult Sample: Ecological Momentary Cognitive Testing Study by Emily W Paolillo, Jessica Bomyea, Colin A Depp, Ashley M Henneghan, Anunay Raj, Raeanne C Moore

“…The tests tapped the domains of executive function, processing speed, reaction time, recognition memory, and working memory. …”
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Utilization of Ultrasonic-Assisted Extraction for Bioactive Compounds from Floral Sources by Sepidar Seyyedi-Mansour, Pauline Donn, Maria Carpena, Franklin Chamorro, Paula Barciela, Ana Perez-Vazquez, Ana Olivia S. Jorge, Miguel A. Prieto

“…Its effectiveness is influenced by a multitude of factors, including operational variables and the matrix effect, both of which have the potential to impact the molecular structures of the specific compounds being targeted. …”
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Three Decades of Land Cover Dynamics in a Boreal Coastal Basin: A Multisensor Spectral Index and Machine Learning Approach Using Landsat Data and GB-SAR Data by Jinsong Zhang, Bochi Zou, Yifei Yuan, Asad Khan, Muhammad Bilawal Junaid, Qaiser Abbas, Rana Muhammad Zulqarnain, Nazih Y. Rebouh, Olga D. Kucher, Hassan Alzahrani

“…Boreal coastal habitats, with their complex hydrological, ecological, and geological functions, play a pivotal role in regulating regional climate, supporting biodiversity, and sustaining local communities. …”
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The Relationship Between Supply Environment, Supply Chain Integration and Performance Considering Opportunistic Behaviors by Abbas َAsadi, safanaz Heidari

“…Then, inferential statistics are employed to explain the relationships between variables and generalize the results to the society. …”
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RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography by Yejia Gan, Wanzhong Huang, Yan Deng, Xiaoying Xie, Yuanyuan Gu, Yaozhuang Zhou, Qian Zhang, Maosheng Zhang, Yangchun Liu

“…IntroductionAortic stenosis (AS) is a valvular heart disease that obstructs normal blood flow from the left ventricle to the aorta due to pathological changes in the valve, leading to impaired cardiac function. Echocardiography is a key diagnostic tool for AS; however, its accuracy is influenced by inter-observer variability, operator experience, and image quality, which can result in misdiagnosis. …”
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Post-thaw dimethyl sulfoxide reduction in autologous peripheral blood progenitor cell suspensions by Miroslava Jandová, Pavel Měřička, Jiří Gregor, Miriam Lánská, Aleš Bezrouk, Dana Čížková, Jakub Radocha

“…Background and objectives: Dimethyl sulfoxide has become the most common cryoprotectant used for cryopreservation of hematopoietic progenitor cells because of its efficiency, regardless of its potentially toxic side effects. …”
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The MiBlend Randomized Trial: Investigating Genetic Polymorphisms in Personalized Responses to Fruit and Vegetable Interventions for Chronic Disease Prevention by Julia N. DeBenedictis, Na Xu, Theo M. de Kok, Simone G. van Breda

“…As with most dietary intervention studies, inter-individual variability was observed in the responses, which might be the consequence of genetic differences. …”
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Deep Learning Approaches for Morphological Classification of Intestinal Organoids by Giovanni Cicceri, Sebastiano Di Bella, Simone Di Franco, Giorgio Stassi, Matilde Todaro, Salvatore Vitabile

“…The use of deep learning (DL) in organoid image analysis becomes crucial to handle complexity, variability, and large amounts of data efficiently and accurately, overcoming the limitations of traditional image processing approaches. …”
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TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluat... by S. Schmitt, S. Schmitt, S. Schmitt, F. J. Fischer, J. G. C. Ball, N. Barbier, M. Boisseaux, D. Bonal, B. Burban, X. Chen, G. Derroire, G. Derroire, G. Derroire, J. W. Lichstein, D. Nemetschek, N. Restrepo-Coupe, S. Saleska, G. Sellan, P. Verley, G. Vincent, C. Ziegler, J. Chave, I. Maréchaux

“…The simulated canopy height distribution showed a high correlation coefficient (CC) with observed aerial and satellite data (CC <span class="inline-formula">&gt;</span> 0.92), while the species and functional composition were well represented (CC <span class="inline-formula">&gt;</span> 0.75). …”
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Engineering safe anti-CD19-CD28ζ CAR T cells with CD8a hinge domain in serum-free media for adoptive immunotherapy by Muthuganesh Muthuvel, Muthuganesh Muthuvel, Thamizhselvi Ganapathy, Trent Spencer, Sunil S. Raikar, Saravanabhavan Thangavel, Alok Srivastava, Alok Srivastava, Alok Srivastava, Sunil Martin

“…CARs are modular synthetic antigen receptors integrating the single-chain variable fragment (scFv) of an immunoglobulin molecule to the TCR signaling. …”
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Steps to Avoid Falls in the Elderly – a TECHnology Enhanced Intervention (SAFE-TECH) study: randomized controlled trial protocol for a community-based, multi-component fall prevent... by Wei Xuan Lai, Vanessa Koh, Jing Wen Goh, Kok Yang Tan, Kai Zhe Tan, Sai G. S. Pai, William R. Taylor, Abhijit Visaria, Navrag B. Singh, Angelique W. M. Chan, David B. Matchar

“…In previous research, exercise interventions have been effective in improving functional outcomes and reducing falls for a broad group of older adults. …”
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Adaptive Stochastic Approach for Evaluating Service Level Using a (SIM-ESL) Module Developed for Optimizing Product Availability and Order Accuracy by Aufy Samah A., Jabbar Rasha, Shiaa Waad Q.

“…It is structured with two models are: Evaluation Dynamic Maximum Economic Order Quantity (EDEOQ) model developed Artificial Neural Network (ANN) to evaluate the optimum inventory level of finished goods as a function of product varied demand and lead time. The second one, Variability Between-Among Dynamic Economic Order Quantity (VB-ADEOQ) is modeled a fuzzy logic to estimate the performance measures (AOP and AOO) that make sure the required order is being processed and delivered on time. …”
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MiR-216a-3p inhibits the cytotoxicity of primary natural killer cells by Rowan Abdelbary, Rowan Abdelbary, Manon Ragheb, Manon Ragheb, Shereen A. El Sobky, Nagwa El-Badri, Nourhan Aboud, Ahmed Tawheed, Asmaa Gomaa, Mona Zidan, Ramy K. Aziz, Abd Elrahman Abouzid, Radwa Ayman Salah, Mohamed El-Kassas, Imam Waked, Ahmed Moustafa, Ahmed Moustafa, Injie Omar Fawzy, Nada El-Ekiaby, Ahmed Ihab Abdelaziz

“…IntroductionThe role of miRNAs in regulating variable molecular functions has been sought by scientists for its promising utility in regulating the immune response and, hence, in treating various diseases. …”
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