The Impact of Celiprolol in Vascular Ehlers–Danlos Syndrome: A Systematic Review of Current Evidence by Pandit Bagus Tri Saputra, Wynne Widiarti, Paulus Parholong Siahaan, Rendra Mahardhika Putra, Johanes Nugroho Eko Putranto, Raden Mohammad Budiarto, Nadya Luthfah, Chaq El Chaq Zamzam Multazam, Mario D’Oria, Firas Farisi Alkaff

“…Methods: A comprehensive literature search was conducted across scientific databases for studies comparing celiprolol with placebo or other treatments, focusing on relevant outcomes. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…However, due to large variations in object scales and complex boundaries of ground objects, existing methods still face significant challenges in handling small targets and objects with intricate edges. …”
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Exploration of beta diversity across altitude gradients in an Alpine region in Trentino using FOSS4G and a historical floristic archive by F. Geri, F. Zottele, N. La Porta, C. Tattoni, P. Zatelli, M. Ciolli, M. Ciolli

“…Future research will compare historical and contemporary floristic data, apply alternative statistical methods, and incorporate remote sensing for enhanced biodiversity assessments.…”
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Determinants of Health and Performance in Wildland Firefighters: A Narrative Review by Fabio García-Heras, Jorge Gutiérrez-Arroyo, Juan Rodríguez-Medina, Belén Carballo-Leyenda, Pilar Sánchez-Collado, Gerardo Villa-Vicente, Jose A. Rodríguez-Marroyo

“…Future research should aim to integrate these measures comprehensively and address existing knowledge gaps to ensure the long-term well-being of these professionals.…”
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Spatio-temporal dynamics and drivers of cropland ecosystem services value during the past two decades in Yangtze river economic belt, China by Hanjun Xia, Pengbo Zhang, Qi Zhang, Baofa Peng, Chenxin Zhou, Qian Zhu, Songchao Chen, Bifeng Hu

“…Clarifying the spatio-temporal variation of the cropland ecosystem service value (Crop-ESV) and understanding its main drivers are critical for maintaining and regulating cropland ecosystem functions.MethodsThus, this study systematically assessed the Crop-ESV in the Yangtze River Economic Belt (YREB) in China and mapped it at 1 km spatial resolution from 2001 to 2020. …”
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Postprandial glucose variability and clusters of sex hormones, liver enzymes, and cardiometabolic factors in a South African cohort of African ancestry by Lisa K Micklesfield, Tinashe Chikowore, Julia H Goedecke, Michèle Ramsay, Bontle Masango, Karl-Heinz Storbeck

“…Introduction This study aimed to, first, determine the clusters of sex hormones, liver enzymes, and cardiometabolic factors associated with postprandial glucose (PPG) and, second to evaluate the variation these clusters account for jointly and independently with polygenic risk scores (PRSs) in South Africans of African ancestry men and women.Research design and methods PPG was calculated as the integrated area under the curve for glucose during the oral glucose tolerance test (OGTT) using the trapezoidal rule in 794 participants from the Middle-aged Soweto Cohort. …”
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Characteristics of tongue images and tongue coating bacteria in patients with colorectal cancer by Wu Zheng, Wu Yinhang, Chu Jian, Jin Congjian, Qu Zhanbo, Jean-Marie Nianga, Louis Wang, Wang Zefeng, Huang Jiaqun, Yu Xiaojian, Yang Shujing, Duan Jinlong, Liu Jiang, Han Shuwen

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Meat species authentication using portable hyperspectral imaging by Yuewen Yu, Yuewen Yu, Wei Chen, Wei Chen, Wei Chen, Dongjie Zhao, Dongjie Zhao, Hanwen Zhang, Hanwen Zhang, Wenliang Chen, Wenliang Chen, Rong Liu, Rong Liu, Chenxi Li, Chenxi Li

“…To improve generalization, the model transfer method was also developed to achieve model sharing across instruments, providing a reliable solution for rapid assessment of meat species.ResultsThe results demonstrate that the model transfer method can effectively correct the spectral differences due to instrument variation and improve the robustness of the model. …”
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Design, Construction, and Evaluation of a Spatial Depth Measurement System for Subsoiler in Sugarcane Fields by N. Loveimi, A. Azizi, A. Kaab, A. Neisi

“…This capability allows for immediate adjustments during the operation, ensuring greater precision and efficiency. Furthermore, by integrating recorded depth data with geospatial information, it becomes possible to generate detailed maps illustrating depth variations across the field. …”
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Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients by Patrick Veazie, Hsuan Chen, Kristin Hicks, Jake Holley, Nathan Eylands, Neil Mattson, Jennifer Boldt, Devin Brewer, Roberto Lopez, Brian Whipker

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Disentangling the gut microbiota of Aldabra giant tortoises of different ages and environments by Douaa Zakaria, Camillo Sandri, Monica Modesto, Caterina Spiezio, Donatella Scarafile, Allen Cedras, Luigimaria Borruso, Paolo Manghi, Paolo Trevisi, Nicola Segata, Paola Mattarelli, Masanori Arita

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Portable SpectroChip-Based Immunoassay Platform for Rapid and Accurate Melamine Quantification in Urine Samples by Cheng-Hao Ko, Wei-Yi Kong, Abel Chernet Kabiso, Wei-Huai Chiu, Ashenafi Belihu Tadesse, Chitsung Hong, Chia-Fang Wu, Hung-Hsun Lin

“…Growing concerns about the health risks of melamine adulteration in food products highlight the urgent need for reliable detection methods. However, the long-term effects of chronic low-level melamine exposure remain inadequately explored. …”
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Enhancing Marshall stability of asphalt concrete using a hybrid deep neural network and ensemble learning by Henok Desalegn Shikur, Ming-Der Yang, Yared Bitew Kebede

“…Accurate prediction of Marshall Stability (MS) is vital for asphalt concrete mix design and performance evaluation, yet traditional laboratory methods are resource-intensive. This study proposes and evaluates hybrid machine learning models, specifically integrating a deep neural network (DNN) base learner with various ensemble techniques (Random Forest, XGBoost, LightGBM, CatBoost, AdaBoost) through stacking, to enhance the accuracy and efficiency of MS prediction. …”
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Transcriptomic insights into grain size development in naked barley (Hordeum vulgare L. var. nudum Hook. f): based on weighted gene co-expression network analysis by Yan Wang, Jiahao Zhou, Mingqi Yang, Youhua Yao, Yongmei Cui, Xin Li, Baojun Ding, Xiaohua Yao, Kunlun Wu

“…Background This study investigated the molecular mechanisms underlying grain size variation between two distinct naked barley varieties using comprehensive phenotypic and transcriptomic (RNA-Seq) analyses. …”
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Molecular mechanisms explaining sex-specific functional connectivity changes in chronic insomnia disorder by Liyong Yu, Zhifu Shen, Wei Wei, Zeyang Dou, Yucai Luo, Daijie Hu, Wenting Lin, Guangli Zhao, Xiaojuan Hong, Siyi Yu

“…By integrating gene expression data from the Allen Human Brain Atlas, we identified genes linked to these sex-specific rsFC alterations and conducted enrichment analysis to uncover underlying molecular mechanisms. …”
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M²UNet: Multi-Scale Feature Acquisition and Multi-Input Edge Supplement Based on UNet for Efficient Segmentation of Breast Tumor in Ultrasound Images by Lin Pan, Mengshi Tang, Xin Chen, Zhongshi Du, Danfeng Huang, Mingjing Yang, Yijie Chen

“…The experimental results show that our method has made substantial progress in improving accuracy.…”
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Monsoonal influence on particulate organic carbon variability through satellite data analysis by C.K. Tito, D.G. Bengen, T. Prartono, A. Damar, A.J. Wahyudi

“…High concentrations were observed at the nearshore waters due to the discharge from the river to the bay. The seasonal variation indicates that the highest concentrations occur during the north west monsoon. …”
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Genotype by environment interaction analysis for resistance against powdery mildew and yellow rust in some promising exotic wheats by Amritpal Mehta, Daisy Basandrai, Harneet Kaur, Jaspal Kaur, Ashwani Kumar Basandrai, Umer Basu, Sukhwinder Singh, Waleed A. A. Alsakkaf, Hayssam M. Ali

“…Methods used showed strong agreement in identifying wheat genotypes resistant to PM and YR when facing diverse environmental factors.…”
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A Novel Transpiration Drought Index for Winter Wheat in the Huang-Huai-Hai Region, China: A Process-Based Framework Incorporating Improved Crop Water Supply–Demand Dynamics by Qianchuan Mi, Zhiguo Huo, Meixuan Li, Lei Zhang, Rui Kong, Fengyin Zhang, Yi Wang, Yuxin Huo

“…To address these concerns, we developed a novel transpiration drought index utilizing the Water Balance for Winter Wheat (WBWW) model. This index integrated variations in atmospheric conditions, soil moisture conditions, crop resistance, and irrigation practices to enhance the evaluation of water supply and demand dynamics. …”
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LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images by Gul e Sehar Shahid, Jameel Ahmad, Chaudary Atif Raza Warraich, Amel Ksibi, Shrooq Alsenan, Arfan Arshad, Rehan Raza, Zaffar Ahmed Shaikh

“…Segmenting brain tumors is a critical task in medical imaging that relies on advanced deep-learning methods. However, effectively handling complex tumor regions requires more comprehensive and advanced strategies to overcome challenges such as computational complexity, the gradient vanishing problem, and variations in size and visual impact. …”
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