Gut microbiota and kidney function in autosomal dominant polycystic kidney disease participants in Cameroon: a cross-sectional study by Inès Obolo Nwaga, Victorine Bandolo Nzana, Rhoda Nsen Bughe, Isaac Dah, Cheboh Cho-Fon, Maimouna Mahamat, Emmanuelle Ndjong, Aristide Nono, Jean Claude Mballa, Fon Abongwa Acho, Vicky Ama Moor, Wilfred Fon Mbacham, François Folefack Kaze

Get full text

On the tracks of an uninvited guest, the Asian tiger mosquito, Aedes albopictus in Cyprus by Riccardo Piccinno, Giulia Fiorenza, Marlen Ines Vasquez, Jeremy Bouyer, Gregoris Notarides, Ludvik Marcus Gomulski, Soteris Meletiou, Mustafa Akiner, Antonios Michaelakis, Federico Forneris, Giovanni Maga, Giuliano Gasperi, Anna Rodolfa Malacrida

“…Methods We applied highly polymorphic simple sequence repeat (SSR) markers to the Ae. albopictus mosquitoes collected in Cyprus and to specimens from Italy, France, Switzerland, the Balkans, Greece and Turkey to construct an SSR individual genotype dataset that would enable the invasion pattern of Ae. albopictus in Cyprus to be traced. …”
Get full text

miRNA-375 a Sensor of Glucotoxicity Is Altered in the Serum of Children with Newly Diagnosed Type 1 Diabetes by Lucien Marchand, Audrey Jalabert, Emmanuelle Meugnier, Kathleen Van den Hende, Nicole Fabien, Marc Nicolino, Anne-Marie Madec, Charles Thivolet, Sophie Rome

Get full text

AxiWorm: a new tool using YOLOv5 to test antiparasitic drugs against Trichinella spiralis by Javier Sánchez-Montejo, Miguel Marín, María Alejandra Villamizar-Monsalve, María del Carmen Vieira, Belén Vicente, Rafael Peláez, Julio López-Abán, Antonio Muro

“…Results A total of 1309 photographs were obtained that after L1 labeling and data augmentation gave 27478 images. The final dataset of 12571 healthy and 14907 affected L1s was used for training, testing, and validating in a ratio of 70/20/10 respectively. …”
Get full text

Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

“…Such data have been manually digitised from the Hydrological Yearbooks of the Italian National Hydrological and Mareographic Service. The available dataset has been primarily analysed to build a reference climatology (related to the 1971–2000 period) for the considered Apennine region. …”
Get full text

Integrating retrieval-augmented generation for enhanced personalized physician recommendations in web-based medical services: model development study by Yingbin Zheng, Yiwei Yan, Sai Chen, Yunping Cai, Kun Ren, Yishan Liu, Jiaying Zhuang, Min Zhao

“…However, providing personalized physician recommendations remains a challenge, often relying on manual triage by schedulers, which can be limited by scalability and availability.ObjectiveThis study aimed to develop and validate a Retrieval-Augmented Generation-Based Physician Recommendation (RAGPR) model for better triage performance.MethodsThis study utilizes a comprehensive dataset consisting of 646,383 consultation records from the Internet Hospital of the First Affiliated Hospital of Xiamen University. …”
Get full text

Safety and Efficacy of Incorporating Actellic^® 300 CS into Soil Wall Plaster for Control of Malaria Vectors in Rural Northeastern Uganda by Tonny Jimmy Owalla, Emmanuel Okurut, Kenneth Ssaka, Gonsaga Apungia, Barbara Cemeri, Andrew Akileng, Basil Ojakol, Mark J. I. Paine, Hanafy M. Ismail, Thomas G. Egwang

Get full text

Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan by Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim

“…Machine learning techniques and a dataset of five wells from the Rawat oilfield in Sudan containing 93,925 samples per feature (seven well logs and one facies log) were used to classify four facies. …”
Get full text

Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predict... by Taconet, Paul, Soma, Dieudonné Diloma, Zogo, Barnabas, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Dabiré, Roch Kounbobr, Pennetier, Cédric, Moiroux, Nicolas

“…To our knowledge, our work is the first modeling insecticide resistance and feeding behaviour of malaria vectors at such fine spatial scale with such a large dataset of both mosquito and environmental data. …”
Get full text

Protocol for a prospective quasi-experimental study on SARS-CoV-2 transmission during outdoor sports events in France: the COVID-ESO project by Frédéric Laurent, Philippe Vanhems, Christelle Elias, Pascal Roy, Sandrine Nail-Billaud, Patrick Basset, Emmanuelle Dantony, Mathieu Fauvernier

Get full text

Insights into a Renowned Fishery: Distinct Spatial Patterns, Environmental Predictors and Species Associations of Trophy-Class Spotted Seatrout (<i>Cynoscion nebulosus</i> [Cuvier... by Catherine Eckert, Elliot Briell, Ethan Getz

“…Here, we leveraged a long-term (1983–2023) gill net dataset collected by the Texas Parks and Wildlife Department to (1) compare the distribution of size classes both spatially and temporally, (2) determine environmental drivers of the abundance of each size class, and (3) compare the species associated with each size class in the Upper Laguna Madre. …”
Get full text

Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons by Jones, Auriane G., Schaal, Gauthier, Boyé, Aurélien, Creemers, Marie, Derolez, Valérie, Desroy, Nicolas, Fiandrino, Annie, Mouton, Théophile L., Simier, Monique, Smith, Niamh, Ouisse, Vincent

“…Because coastal lagoons are naturally highly variable in their environmental conditions, disentangling the effects of anthropogenic disturbances like eutrophication from those of natural variability is a challenging, yet necessary issue to address. Here, we analyze a dataset composed of macrobenthic invertebrate abundances and environmental variables (hydro-morphology, water, sediment and macrophytes) gathered across 29 Mediterranean coastal lagoons located in France, to characterize the main drivers of community composition and structure. …”
Get full text

Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques by Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, Abba Musa Hassan, Zainah Ibrahim, G. Murali, Kim Hung Mo, Ahmed El-Shafie

“…In this context, the current study proposes a novel approach by developing a thoughtful system for assessing performance and intelligent design utilizing ML models such as Gradient Boosting (GB), Random Forest (RF), Gaussian Process Regression (GPR), and Linear Regression (LR) to predict porosity and compressive strength (CS) of FG. The dataset comprises 214 data points, encompassing input variables such as glass particle diameter, foam agent content, heating rate, holding time, sintering temperature, and dry density, with output parameters of porosity and CS. …”
Get full text

High Serum Asprosin Levels Are Associated with Presence of Metabolic Syndrome by Tao Hong, Jiao-Yang Li, Ya-Di Wang, Xiao-Yan Qi, Zhe-Zhen Liao, Poonam Bhadel, Li Ran, Jing Yang, Bin Yan, Jiang-Hua Liu, Xin-Hua Xiao

Get full text

Testing the reliability of global surface temperature reconstructions of the Last Glacial Cycle with pseudo-proxy experiments by J.-P. Baudouin, N. Weitzel, M. May, L. Jonkers, A. M. Dolman, K. Rehfeld, K. Rehfeld

“…</p> <p>Given the dataset and the algorithm, we find that the reconstruction is reliable for timescales longer than 4 <span class="inline-formula">kyr</span> during the last 25 <span class="inline-formula">kyr</span>. …”
Get full text

Metagenome-assembled-genomes recovered from the Arctic drift expedition MOSAiC by William Boulton, Asaf Salamov, Igor V. Grigoriev, Sara Calhoun, Kurt LaButti, Robert Riley, Kerrie Barry, Allison A. Fong, Clara J. M. Hoppe, Katja Metfies, Kersten Oetjen, Sarah Lena Eggers, Oliver Müller, Jessie Gardner, Mats A. Granskog, Anders Torstensson, Marc Oggier, Aud Larsen, Gunnar Bratbak, Andrew Toseland, Richard M. Leggett, Vincent Moulton, Thomas Mock

“…The generation of metagenome-assembled-genomes (MAGs) from metagenomes are a starting point for genome-resolved analyses. This dataset presents a catalogue of MAGs recovered from a set of 73 samples from MOSAiC, including 2407 prokaryotic and 56 eukaryotic MAGs, as well as annotations of a near complete eukaryotic MAG using the Joint Genome Institute (JGI) annotation pipeline. …”
Get full text

Pseudodominant Nanophthalmos in a Roma Family Caused by a Novel PRSS56 Variant by Lubica Dudakova, Pavlina Skalicka, Olga Ulmanová, Martin Hlozanek, Viktor Stranecky, Frantisek Malinka, Andrea L. Vincent, Petra Liskova

“…The change was absent from the gnomAD dataset, but two out of 118 control Roma individuals were also shown to be heterozygous carriers. …”
Get full text

The Effect of Lipotoxicity on Renal Dysfunction in a Nonobese Rat Model of Metabolic Syndrome: A Urinary Proteomic Approach by Irena Markova, Denisa Miklankova, Martina Hüttl, Petr Kacer, Jelena Skibova, Jan Kucera, Radislav Sedlacek, Tereza Kacerova, Ludmila Kazdova, Hana Malinska

Get full text

Do Activity Sensors Identify Physiological, Clinical and Behavioural Changes in Laying Hens Exposed to a Vaccine Challenge? by Hyungwook Kang, Sarah Brocklehurst, Marie Haskell, Susan Jarvis, Victoria Sandilands

Get full text

Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions by Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho, Chul-Hyun Cho

“…This study aimed to develop ML algorithms to predict the upper tertile group of various anxiety symptoms based on multimodal data from virtual reality (VR) therapy sessions for social anxiety disorder (SAD) patients and to evaluate their predictive performance across each data type.MethodsThis study included 32 SAD-diagnosed individuals, and finalized a dataset of 132 samples from 25 participants. It utilized multimodal (physiological and acoustic) data from VR sessions to simulate social anxiety scenarios. …”
Get full text