Heat flow, thermal anomalies, tectonic regimes and high-temperature geothermal systems in fault zones by Guillou-Frottier, Laurent, Milesi, Gaétan, Roche, Vincent, Duwiquet, Hugo, Taillefer, Audrey

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Introducing the non-invasive prenatal test for trisomy 21 in Belgium: a cost-consequences analysis by Mattias Neyt, Frank Hulstaert, Wilfried Gyselaers

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BORSA İSTANBUL PAY PİYASASI ŞİRKETLERİNİN BEDELSİZ SERMAYE ARTIRIMI DUYURULARININ HİSSE SENEDİ GETİRİLERİ ÜZERİNDEKİ ETKİSİNİN DEĞERLENDİRİLMESİ by Abdullah Erol, Sinan Aytekin

“…Eldeedilen bulgular genel olarak test edilen dönem açısından BIST pay piyasasınınyarı güçlü formda etkin bir piyasa olmadığı yönünde bulgular içermektedir.…”
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Enhanced oracle bone corrosion detection using attention-guided YOLO with ghost convolution by Feng Gao, Ziheng Yang, Qiyu Liu, Zhan Zhang, Bang Li, Han Zhang

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ReLTER: An R interface for environmental observation in long term ecological research by Alessandro Oggioni, Micha Silver, Paolo Tagliolato, Arnon Karnieli

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Modulatory effects of selenium nanoparticles on gut microbiota and metabolites of juvenile Nile tilapia (Oreochromis niloticus) by microbiome-metabolomic analysis by Jing Ni, Lirong Ren, Ying Liang, Ying Ma, Hejian Xiong

“…At appropriate concentrations, SeNPs can promote growth, boost immunity, and modulate intestinal microbiota in aquatic animals. …”
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Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI by Dong X, Meng J, Xing J, Jia S, Li X, Wu S

“…Future research should expand to multicentric studies and include genomic data to boost the nomogram’s generalizability and precision.Keywords: young onset breast cancer, clinical-radiomics nomogram, axillary lymph node metastasis, dynamic contrast-enhanced MRI…”
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Benchmarking the identification of a single degraded protein to explore optimal search strategies for ancient proteins by Rodriguez Palomo, Ismael, Nair, Bharath, Chiang, Yun, Dekker, Joannes, Dartigues, Benjamin, Mackie, Meaghan, Evans, Miranda, Macleod, Ruairidh, Olsen, Jesper V., Collins, Matthew J.

“…We also explored alternative strategies, including open search that allows for the global identification of PTMs based upon wide precursor mass tolerance and de novo sequencing to boost sequence coverage. We analysed the samples using Mascot, MaxQuant, Metamorpheus, pFind, Fragpipe and DeNovoGUI (pepNovo+, DirecTag, Novor), benchmarked these tools and discuss the optimal strategy for the characterisation of ancient proteins. …”
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Clinical characteristics and risk factors of severe pneumonia caused by human bocavirus in children by Zhuxia Li, Wenjing Gu, Fengming Zhu, Enze Han, Yongdong Yan, Huiquan Sun, Weidong Xu, Xin Zhang, Li Huang, Shan Gao, Yuqing Wang, Chuangli Hao, Xinxing Zhang

“…There were no significant differences in age distribution, presence of fever, lung moist rales, pleural effusion and reduced breath sounds between the two groups (all P > 0.05). 57.19% of the HBoV-positive children co-infected with other pathogens and HRV was the most common co-infected pathogens with HBoV. …”
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An ecological, environmental, and economic indicators-based approach towards enhancing sustainability in water and nutrient use for passion fruit cultivation in Colombia by Sonia Mercedes Polo-Murcia, Nesrine Chaali, Camilo Ignacio Jaramillo-Barrios, Sofiane Ouazaa, Victor Javier Polo, John Edisson Calderon Carvajal

“…Efficient irrigation and fertilization strategies can enhance soil health, reduce environmental impact, and boost crop profitability. However, their application to passion fruit remains underexplored. …”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…Results: Random forest (AUC = 0.98, accuracy = 0.95, Brier score = 0.06, and F1 = 0.94), extreme gradient boost (XGB) (AUC = 0.96, accuracy = 0.91, Brier score = 0.08, F1 = 0.90) and support vector machine (SVM) (AUC = 0.93, accuracy = 0.93, Brier score = 0.07, F1 = 0.92) were the best performing models (base learners). …”
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Association Between Metabolic Syndrome and Cardiac Autonomic Nervous Function and Cardiorespiratory Fitness in Older Adults: A Retrospective Observational Study with Propensity Sco... by Cui N, Li Q, Cheng J, Xing T, Shi P, Wang Y, Luo M, Dun Y, Liu S

“…It is recommended that they boost physical activity and closely monitor heart rate and blood pressure during exercise to mitigate exercise-related risks.Keywords: aging population health, heart rate recovery, systolic blood pressure recovery, geriatric cardiology, autonomic regulation, fitness evaluation…”
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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach by Aljubran HJ, Aljubran MJ, AlAwami AM, Aljubran MJ, Alkhalifah MA, Alkhalifah MM, Alkhalifah AS, Alabdullah TS

“…Notably, ensemble algorithms surpassed other models in all evaluation metrics, with CatBoost achieving an F-1 score of 90%. Importantly, the model never misclassified an urgent patient as nonurgent or vice versa.Conclusion: The study successfully created a machine learning model to classify pediatric emergency department patients into three urgency levels. …”
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Unpacking the benefits of black soldier fly frass fertilizer towards nematode suppression and potato production by Emmanuel O. Anedo, Emmanuel O. Anedo, Emmanuel O. Anedo, Dennis Beesigamukama, Benson Mochoge, Nicholas K. Korir, Solveig Haukeland, Solveig Haukeland, Xavier Cheseto, Moses Nyongesa, Patrick Pwaipwai, Sevgan Subramanian, Abdou Tenkouano, Betty Kibaara, Chrysantus M. Tanga

“…Our findings demonstrate that chitin-fortified BSFFF can significantly contribute to potato cyst nematode suppression and boost potato yields in smallholder farming systems, thus, making it a promising and sustainable alternative to commercial fertilizers and nematicides. …”
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Proteomic and serologic assessments of responses to mRNA-1273 and BNT162b2 vaccines in human recipient sera by Thomas E. Hickey, Uma Mudunuri, Heidi A. Hempel, Troy J. Kemp, Nancy V. Roche, Keyur Talsania, Brian A. Sellers, James M. Cherry, Ligia A. Pinto

“…Random Forest analysis of proteomic data from pre-third-dose sera identified 85 markers used to develop a model predictive of robust or weaker IgG responses and antibody levels to SARS-CoV-2 spike protein at 6-months following boost; no specific markers were individually predictive of 6-month IgG response. …”
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Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups by Stephanie Gillibrand, Helen Gibson, Kelly Howells, Sean Urwin, Jennifer C. Davies, Emma J. Crosbie, Caroline Sanders

“…The introduction of self-sampling alongside traditional methods may reduce barriers to screening, and may boost screening rates for under-screened groups but only if they are implemented with appropriate information and sufficient communication. …”
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Patterns and factors associated with healthcare utilisation in Cambodia: a cross-sectional study based on the World Health Survey Plus 2023 by Kerstin Klipstein-Grobusch, Por Ir, Paul Kowal, Nawi Ng, Srean Chhim, Chhorvann Chhea, Chamnab Ngor, Sereyraksmey Long, Poppy Walton, Khin Thiri Maung, Grace Marie Ku, Heng Sopheab

“…Background The Cambodian government aims to boost healthcare utilisation in public facilities and reduce the spending burden for disadvantaged households. …”
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…This study compared and evaluated 6 commonly used machine learning models, including extreme gradient boosting (XGBoost), support vector regression (SVR), backpropagation neural network (BP), gradient boosting decision tree (GBDT), random forest (RF), and categorical boosting (CatBoost). …”
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Chemical Characterization and Differential Lipid-Modulating Effects of Selected Plant Extracts from Côa Valley (Portugal) in a Cell Model for Liver Steatosis by Ricardo Amorim, Mário Pedro Marques, Catarina Melim, Carla Varela, Vilma A. Sardão, José Teixeira, Maria Inês Dias, Lillian Barros, Paulo J. Oliveira, Célia Cabral

“…(hemorrhages, urethritis, hepatitis), <i>Rumex scutatus</i> L. subsp. <i>induratus</i> (Boiss. and Reut.) Malag. (inflammation, constipation), <i>Geranium purpureum</i> Vill., and <i>Geranium lucidum</i> L. …”
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Knowledge, attitude and practices regarding vitamin D among adults in Ghana: a cross-sectional study by Abraham Ameyaw Kwabena, Benedicta Appiah, Samuel Ankomah Danso, Samuel Kwame Sopuruchi Agomuo, Samuel Kwarteng, Ebenezer Senu, Alfred Effah, Samuel Asamoah Sakyi, Linda Ahenkorah Fondjo

“…There is need for extensive health educational campaigns to the public to boost the knowledge levels on the importance of Vitamin D.…”
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