Identification of the sex determination region and the development of a marker to distinguish males and females in megai abalone (Haliotis gigantea) by Taito Kina, Motoyuki Hara, Shotaro Hirase, Kiyoshi Kikuchi

“…Sex identification markers are of considerable value to aquaculture and fisheries as they enable pre-maturity prediction of the genotypic sex of individuals as well as of the sex ratio in offspring. …”
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Forecasting models for leprosy cases: a scoping review protocol by Bruna Oliveira Ascef, Gustavo Laine Araújo de Oliveira, Carmelita Ribeiro Filha Coriolano, Haliton Alves De Oliveira Junior

“…Various models for predicting leprosy cases have been reported in the literature, but they have different settings and distinct approaches to predicting the cases. …”
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Advanced NGS analysis of cell-free tumor DNA supports clonal relation to primary high-grade B-cell lymphoma lesion and CNS relapse despite MRI negativity by Veronika Navrkalova, Andrea Mareckova, Jakub Porc, Samuel Hricko, Viera Hrabcakova, Jarmila Kissova, Sona Kundova, Marie Jarosova, Sarka Pospisilova, Jana Kotaskova, Andrea Janikova

“…In clinical practice, such a minimally invasive approach provides a more sensitive tool than standard imaging and cell analyzing techniques, enabling more accurate disease monitoring and relapse prediction in particular cases.…”
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Computational Analysis of nsSNPs of ADA Gene in Severe Combined Immunodeficiency Using Molecular Modeling and Dynamics Simulation by Soukaina Essadssi, Al Mehdi Krami, Lamiae Elkhattabi, Zouhair Elkarhat, Ghita Amalou, Houria Abdelghaffar, Hassan Rouba, Abdelhamid Barakat

“…In this study, we performed a bioinformatics analysis of the human ADA gene to identify potentially harmful nonsynonymous SNPs and their effect on protein structure and stability. Using eleven prediction tools, we identified 15 nsSNPs (H15D, H15P, H17Q, H17Y, D19N, T26I, G140E, C153F, A183D, G216R, H258Y, C262Y, S291L, S291W, and K34OE) as harmful. …”
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Impact of the Westerly Jet on Rainfall/Runoff in the Source Region of the Yangtze River during the Flood Season by Xin Lai, Yuanfa Gong, Sixian Cen, Hui Tian, Heng Zhang

“…Based on runoff data collected at the Zhimenda station, reanalysis data from the National Centers of Environmental Prediction/National Centers of Atmospheric Research (NCEP/NCAR), and observation data from ground stations in China, this study analyzes the characteristics of changes in runoff in the source region of the Yangtze River (SRYR) during the flood season (from July to September), the relationship between runoff and antecedent rainfall, and the impact of the westerly jet (WJ) on rainfall in the coastal zone of the SRYR. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…Finally, ML-based growth class prediction results were extensively discussed and evaluated for overall (accuracy, f1-weighted) and growth class specific- classification metrics (accuracy, user- and producer accuracy).…”
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Do land models miss key soil hydrological processes controlling soil moisture memory? by M. A. Farmani, A. Behrangi, A. Behrangi, A. Gupta, A. Tavakoly, A. Tavakoly, M. Geheran, G.-Y. Niu

“…We suggest that LSMs for use in seasonal-to-subseasonal climate prediction should, at least, adopt the Van Genuchten hydraulic scheme.…”
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Theoretical impact of a bedside decision-making tool on antibiotic use for suspected neonatal healthcare-associated infection: an observational study by Lizel Georgi Lloyd, Mirjam Maria van Weissenbruch, Adrie Bekker, Cecilia Ferreyra, Birgitta Gleeson, Angela Dramowski

“…The antibiotic decision-making tool included an infection prediction score (NeoHoP), and a point-of-care C-reactive protein test (CRP) performed at HAI diagnosis and 24 h later. …”
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Habitat Quality Dynamics in Urumqi over the Last Two Decades: Evidence of Land Use and Land Cover Changes by Siying Chen, Ümüt Halik, Lei Shi, Wentao Fu, Lu Gan, Martin Welp

“…The simulation and prediction results suggest that from 2020 to 2035, habitat degradation will be mitigated under Ecological Protection scenarios, while the decline in habitat quality will be most pronounced under Business-As-Usual scenarios. …”
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Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective by Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu

“…Thus, extracting useful information from various characteristics of users and further predicting their purchase inclination are urgent. However, two critical problems encountered in real practice make this prediction task challenging, i.e., sample selection bias and data sparsity. …”
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Impact of lens autofluorescence and opacification on retinal imaging by Frank G Holz, Maximilian Pfau, Monika Fleckenstein, Raffael Liegl, Geena C Rennen, Marc Vaisband, Jan Hasenauer

“…A regression model for predicting image quality was developed using a convolutional neural network (CNN). …”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

“…This approach showed remarkable improvement in predictive accuracy on independent test sets with a Matthews Correlation Coefficient of 0.76 (± 0.33) compared to 0.55 (± 0.15) and 0.48 (± 0.18) for two commonly used PU learning approaches. …”
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The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients by Kai Liu, Shu Liu, Ting-ting Xu, Hong Qiao

“…Our findings will help identify elevated risk factors in diabetics, which will benefit early prediction.…”
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The evolving roles of geophysics in environmental assessment, monitoring, and management of landfill leachate contaminant plumes: An overview by Joseph Omeiza Alao

“…Future research should focus on developing advanced data interpretation techniques, integrating geophysical data with other environmental monitoring data, and exploring the use of artificial intelligence for automated analysis and prediction of LLP behaviour, which ultimately aiding the environmental decision-makers in addressing ecological challenges and designing/managing landfill sites.…”
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Fusion of Remotely Sensed Data with Monitoring Well Measurements for Groundwater Level Management by César de Oliveira Ferreira Silva, Rodrigo Lilla Manzione, Epitácio Pedro da Silva Neto, Ulisses Alencar Bezerra, John Elton Cunha

“…In the realm of hydrological engineering, integrating extensive geospatial raster data from remote sensing (Big Data) with sparse field measurements offers a promising approach to improve prediction accuracy in groundwater studies. In this study, we integrated multisource data by applying the LMC to model the spatial relationships of variables and then utilized block support regularization with collocated block cokriging (CBCK) to enhance our predictions. …”
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Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. by Caroline C McGrouther, Aaditya V Rangan, Arianna Di Florio, Jeremy A Elman, Nicholas J Schork, John Kelsoe, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium

“…By investigating the subgroup's bicluster-informed polygenic-risk-scoring (PRS), we find that the disease-specific pattern highlighted by the bicluster can be leveraged to eliminate noise from our GWAS analyses and improve risk prediction. This improvement is particularly notable when using only a relatively small subset of the available SNPs, implying improved SNP replication. …”
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Fibroblasts in rheumatoid arthritis: novel roles in joint inflammation and beyond by Elpida Neofotistou-Themeli, Elpida Neofotistou-Themeli, Panagiota Goutakoli, Panagiota Goutakoli, Theodoros Chanis, Theodoros Chanis, Maria Semitekolou, Maria Semitekolou, Eirini Sevdali, Eirini Sevdali, Prodromos Sidiropoulos, Prodromos Sidiropoulos

“…Although our knowledge of ILD has progressed, significant gaps in both basic and clinical science remain, posing hurdles to efficient diagnosis, prediction of disease course and its effective treatment. …”
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Systematic Coronary Risk Evaluation 2 (SCORE2), arterial stiffness, and subclinical coronary atherosclerosis in a population-based study by Susanna Strömberg, Andreas Stomby, Jan Engvall, Carl Johan Östgren

“…This knowledge can be useful in primary care, where SCORE2 is frequently used as a risk prediction tool. The modest overlap between arterial stiffness and coronary calcification suggests that CACS and PWV describe different types of vascular damage.…”
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Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

“…Explained result illustrates which LFLCTR-FCDMPNN method improves the accuracy of gaze pattern recognition and decreases the time consumption than the conventional prediction methods. Using the Synthes Eyes dataset, it turned out that the FPR of the suggested LFLCTR-FCDMPNN was 63% higher than existing.…”
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Detecting Fish Diversity in Urban‐Impacted Ecosystems: A Comparative Approach of eDNA Metabarcoding and UVC by Arthur Chung, Y. C. Kam, Stanley K. H. Shea, Celia Schunter

“…Yet, each survey method featured a distinct species profile with associated trophic guilds, where 98 (32.3%) species found exclusively by UVC and 120 (39.6%) species detected only by eDNA. eDNA featured species from diverse habitats and evolutionary distances, including cryptic and large mobile fishes, offering enhanced prediction on local ecosystem functions. eDNA also recorded 90 putative species that had never been recorded in additional seven yearlong UVC dataset, with seven prospective new occurrence records to the territorial waters. …”
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