AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcareMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Md. Anisul Haque Sajeeb, Md. Mohaimenur Rahman, Md Shadikul Bari, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty

“…Common causes include blood loss, chronic diseases, and iron and vitamin deficiencies. This dataset captures various hematological parameters of patients suffering from anemia, including sex, age, Hemoglobin level (Hb), oxygen transportation (RBC), packed cell volume (PCV), mean corpuscular volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC). …”
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Phantom motor execution as a treatment for phantom limb pain: protocol of an international, double-blind, randomised controlled clinical trial by Brian E McGuire, Lina Bunketorp-Käll, Eva Lendaro, Liselotte Hermansson, Helena Burger, Corry K Van der Sluis, Monika Pilch, Katarzyna Kulbacka-Ortiz, Ingrid Rignér, Anita Stockselius, Lena Gudmundson, Cathrine Widehammar, Wendy Hill, Sybille Geers, Max Ortiz-Catalan

“…The only difference between interventions is whether phantom movements are actually performed (PME) or just imagined (PMI). Complete evaluations are conducted at baseline and at intervention completion, as well as 1, 3 and 6 months later using an intention-to-treat (ITT) approach. …”
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Sangre Por Salud (SPS) Biobank: cohort profile by Richard R Sharp, Euijung Ryu, Janet E Olson, Karen Meagher, James R Cerhan, Davinder Singh, Suzette Bielinski, Emmil Zarrugh, Marlene E Girardo, Giovanna Moreno Garzon, Valentina Hernandez, Sharon Levey, Crystal Gonzalez, Daniela B Pompa, Gabriel Q Shaibi, Lawrence Mandarino, Steven Thibodeau, Elena De Filippis

“…After obtaining informed consent, detailed medical history questionnaires were captured, and blood samples were obtained for common laboratory tests. …”
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A fuzzy logic approach within the DPSIR framework to address the inherent uncertainty and complexity of water security assessments by Liang Yuan, Zhijie Zhou, Weijun He, Xia Wu, Dagmawi Mulugeta Degefu, Juan Cheng, Lin Chai, Thomas Stephen Ramsey

“…It provides a flexible framework that accommodates the inherent uncertainties and complexities of water security assessments, captures dynamic interactions between various components of water security, and reveals non-linear relationships and threshold effects that conventional methods might overlook.…”
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Surface water and flood-based agricultural systems: Mapping and modelling long-term variability in the Senegal river floodplain by Andrew Ogilvie, Cheickh Sadibou Fall, Ansoumana Bodian, Didier Martin, Laurent Bruckmann, Djiby Dia, Issa Leye, Papa Malick Ndiaye, Donissongou Dimitri Soro, Jean Homian Danumah, Jean-Claude Bader, Jean-Christophe Poussin

“…Remote sensing provides increased opportunities to monitor surface water dynamics across large floodplains that are currently poorly captured by local hydrological monitoring and modelling due to data scarcity and the flat, heterogeneous topography. …”
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Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchardsMendeley Data by Virginia Maß, Pendar Alirezazadeh, Johannes Seidl-Schulz, Matthias Leipnitz, Eric Fritzsche, Rasheed Ali Adam Ibraheem, Martin Geyer, Michael Pflanz, Stefanie Reim

“…For data collection, ten UAV-flight campaigns were realized between 2021 and 2023 under various weather conditions and with different flight parameters in the experimental orchard of the Julius Kühn-Institute for Breeding Research on Fruit Crops in Dresden-Pillnitz (Germany). 1394 images were captured of different pear genotypes, including varieties, wild species and progeny from breeding. …”
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MASFNet: Multi-level attention and spatial sampling fusion network for pine wilt disease trees detection by Dong Ren, Meng Li, Ziyu Hong, Li Liu, Jingfeng Huang, Hang Sun, Shun Ren, Pan Sao, Wenbin Wang, Jingcheng Zhang

“…Specifically, we designed a Multi-level Attention (MLAttention) module aimed at capturing features through an expanded receptive field to help the model distinguish between the background and the objects of interest. …”
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Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques by C. Zhang, X. Niu, H. Wu, Z. Ding, K. L. Chan, J. Kim, T. Wagner, C. Liu, C. Liu, C. Liu

“…GeoNet leverages spatiotemporal series of satellite NO<span class="inline-formula">₂</span> observations to capture the intricate relationships among air quality, meteorology, and emissions in both temporal and spatial domains. …”
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An improved statistical bias correction method for Global Climate Model (GCM) precipitation projection: A case study on the CMCC-CM2-SR5 model projection in China’s Huaihe River Ba... by Yuning Luo, Ke Zhang, Wen Wang, Xinyu Chen, Jin Feng, Haijun Wang, Wei Liu, Cheng Guo, Cuiying Chen, Xiaozhong Wang

“…The Expert Team on Climate Change Detection and Indices (ETCCDI) extreme precipitation indices and spatial patterns of extreme precipitation in July 2020 in the observations and bias-corrected data were then compared to evaluate the effectiveness of these methods on capturing precipitation extremes.New hydrological insights for the region: Results show that the LS-EDCDF method outperforms the other three methods in correcting monthly CDFs, reducing biases, and preserving extreme precipitation. …”
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Effect of Hematopoietic Stem Cell Transplantation Regimen on Tacrolimus Pharmacokinetics by Haruno Oku, BS, Saki Yoshida, BS, Takumi Hotta, BS, Hirohito Muroi, BS, Keizo Fukushima, PhD, Kei Irie, PhD, Tatsuya Hirano, BS, Yoshimitsu Shimomura, MD, Takayuki Ishikawa, MD, PhD, Hiroaki Ikesue, PhD, Nobuyuki Muroi, PhD, Tohru Hashida, PhD, Nobuyuki Sugioka, PhD

“…Whole-blood tacrolimus concentrations were accurately captured (n = 1,658 measurements) using a one-compartment and additive error model. …”
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Comparison of prognosis for T4b rectal cancer with different pelvic compartment involvement treated using neoadjuvant chemoradiotherapy and implications for refinement of the curre... by Yang-zi Zhang, Maxiaowei Song, Shuai Li, Jian Tie, Xiang-gao Zhu, Yong-heng Li, Ai-wen Wu, Yong Cai, Wei-hu Wang

“…Purpose: Although classified as one stage, T4b rectal cancer actually represents a group of heterogeneous diseases. …”
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Low-Dose Ketamine Infusion for Perioperative Pain Management in Patients Undergoing Laparoscopic Gastric Bypass: A Prospective Randomized Controlled Trial by Mitchell T. Seman, Shawn H. Malan, Matthew R. Buras, Richard J. Butterfield, Kristi L. Harold, James A. Madura, David M. Rosenfeld, Andrew W. Gorlin

“…Data collected included total perioperative opioids used converted to oral morphine equivalents (ME), pain scores, side effects, hospital length of stay, and patient satisfaction captured via postoperative questionnaires. Results. …”
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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders by Jirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, Tassapol Singalavanija, Ngamphol Soonthornworasiri, Varis Ruamviboonsuk, Chetan Rao, Rajiv Raman, Andrzej Grzybowski, Mike Schaekermann, Lily H. Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Rory Sayres, Fred Hersch, Richa Tiwari, Yun Liu, Paisan Ruamviboonsuk

“…There were 5,738 patients (12.3% STDR) in the first screening. DL and HG captured different numbers of STDR cases, and after simulated referral and excluding ungradable cases, 4,148 and 4,263 patients remained in the second screening, respectively. …”
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Una nueva estrategia integral para modelar materiales urbanos para ciudades térmicamente habitables. Un caso de estudio en Madrid = A new integrated strategy for modelling urban ma... by Emanuela Giancola, Helena López, Silvia Soutullo, M. Nuria Sánchez, Luis F. Zarzalejo, Ana Gamarra, Israel Herrera, J. Antonio Ferrer, Emanuele Naboni

“…En la simulación energética de edificios se ha prestado poca atención a las interacciones, no despreciables, entre la envolvente exterior de los edificios, la demanda energética y su impacto en el microclima urbano. Las herramientas actuales de simulación de edificios tienen una capacidad limitada para evaluar estas interrelaciones. …”
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Impact of prior SARS-CoV-2 infection and COVID-19 vaccination on the subsequent incidence of COVID-19: a multicentre prospective cohort study among UK healthcare workers – the SIRE... by Nick Andrews, Mary Ramsay, Maria Zambon, Victoria Hall, Sarah Wallace, Susan Hopkins, Jean Timeyin, Tim J G Brooks, Amoolya Vusirikala, Meera Chand, Andre Charlett, Sakib Rokadiya, Colin S Brown, Madhumita Shrotri, Peter D Kirwan, Michele Cole, Natalie Gillson, Ana Atti, Sarah Foulkes, Andrew Taylor-Kerr, Blanche Oguti, Jasmin Islam

“…Any results from testing undertaken for other reasons (eg, symptoms, contact tracing) or prior to study entry will also be captured. Individuals complete enrolment and fortnightly questionnaires on exposures, symptoms and vaccination. …”
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Spatial and temporal epidemiology of SARS-CoV-2 virus lineages in Teesside, UK, in 2020: effects of socio-economic deprivation, weather, and lockdown on lineage dynamics by Moss, E.D., Rushton, S.P., Baker, P., Bashton, M., Crown, M.R., dos Santos, R.N., Nelson, A., O’Brien, S.J., Richards, Z., Sanderson, R.A., Yew, W.C., Young, G.R., McCann, C.M., Smith, D.L.

“…Methods: We examined the spatial and temporal patterns of COVID-19 in the Teesside sub-region of the UK, from January to December 2020, capturing the first two waves of the epidemic. We used a combination of disease mapping and mixed-effect modelling to analyse the total positive tests, and those of the eight most common virus lineages, in response to potential infection risk factors: socio-economic deprivation, population size, temperature, rainfall, government interventions, and a government restaurant subsidy (“Eat Out to Help Out”). …”
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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

“…First, we introduce a novel measurement campaign for indoor mmWave channel at 60 GHz, where a light detection and ranging (LiDAR) sensor and panoramic camera were co-located with a channel sounder and then time-synchronized point clouds and images were captured to describe environmental information. Furthermore, a fusion method between the point clouds and images is proposed based on geometric relationship between the LiDAR and camera, to compress the size of the data collected. …”
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The effectiveness and risks of Treating people with Idiopathic Pulmonary fibrosis with the Addition of Lansoprazole (TIPAL): study protocol for a randomised placebo-controlled mult... by Toby M Maher, A John Simpson, Anthony Cahn, David Thickett, Luke Vale, Allan B Clark, Nazia Chaudhuri, Ian Forrest, Lisa G Spencer, Christopher Ward, Stephen Jones, Ganesh Raghu, Andrew M Wilson, Helen Parfrey, Megan Jones, Matthew Hammond, Jaclyn Ann Smith, Shajahan Wahed

“…Secondary assessments include cough frequency (in a subgroup) measured using the VitaloJAK cough monitor, the King’s Brief Interstitial Lung Disease questionnaire, the Raghu Scale for Pulmonary Fibrosis, Medical Research Council dyspnoea score, EQ-5D-5L, Leicester Cough Questionnaire, modified DeMeester reflux symptoms questionnaire and opportunistically captured routine lung function measurements. High-resolution CT scoring will be undertaken in a subgroup. …”
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TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…In addition, we construct a generative model that learns only a unidirectional modality conversion mapping, thereby capturing the associations between their visual contents. …”
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Emergence of Self-Identity in Artificial Intelligence: A Mathematical Framework and Empirical Study with Generative Large Language Models by Minhyeok Lee

“…The model was trained on a synthetic dataset containing temporally structured memories, designed to capture the complexity of coherent self-identity formation. …”
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