Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China by Yuanyuan Zhang, Qingtao Wang, Xueyuan Zhang, Zecheng Guo, Xiaonan Guo, Changhui Ma, Baocheng Wei, Lei He

“…This study utilizes satellite-derived vegetation indices, land cover datasets, and climate data to investigate the influence of both land cover and climate changes on vegetation growth in the agro-pastoral ecotone of northern China (APENC) from 2001 to 2022. …”
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Joint exposure to multiple air pollutants and residual cardiovascular risk in hypertension by Yalan Li, Wei Hong, Jingjing Wu, Jie Wang, Shiqi Liu, Hong Yuan, Jingjing Cai, Rujia Miao, Jiangang Wang, Yao Lu

“…Methods: 1981 hypertensive patients (≥ 18 years) from an ongoing longitudinal cohort in China, were enrolled between 2013 and 2019. Using high-quality datasets from China, the ground-level air pollutants concentrations, including PM2.5, PM2.5–10, SO2, O3, CO and NO2, at each participant’s residence were calculated. …”
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Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

“…We integrated CT image features with dosimetric and clinical data subsequently, ranked 5 supervised ML models Bernoulli Naive Bayes, Decision Tree, Gradient Boosting Decision Trees, K-Nearest Neighbor, and Random Forest on 4 input datasets to predict radiation-induced visual complications classifiers by implementing 5-fold cross-validation. …”
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Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon by Vahid Khosravi, Asa Gholizadeh, Radka Kodešová, Prince Chapman Agyeman, Mohammadmehdi Saberioon, Luboš Borůvka

“…Furthermore, maps produced using both spectra and EPCs showed less uncertainty than those constructed on the individual datasets.…”
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Enhanced automated text categorization via Aquila optimizer with deep learning for Arabic news articles by Muhammad Swaileh A. Alzaidi, Alya Alshammari, Abdulkhaleq QA Hassan, Shouki A. Ebad, Hanan Al Sultan, Mohammed A. Alliheedi, Ali Abdulaziz Aljubailan, Khadija Abdullah Alzahrani

“…This model is trained on labelled datasets around many news topics to automatically categorize articles into predetermined classes. …”
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Moving from monitoring to real-time interventions for air quality: are low-cost sensor networks ready to support urban digital twins? by Nicole Hannah Cowell, Nicole Hannah Cowell, Lee Chapman, David Topping, Philip James, Daniel Bell, Thomas Bannan, Ettore Murabito, James Evans, Mark Birkin

“…This paper focuses on the utilization of live stream data and demonstrates that air quality applications can provide a realistic target given the density of observations available, which can routinely be combined with other urban datasets to provide the added value and insights needed for urban air pollution management. …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…The proposed method’s efficiency was evaluated using datasets from the Document Understanding Conference (DUC), specifically DUC-2002, DUC-2003, and DUC-2005. …”
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UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image by Yuer Lu, Yongfa Ying, Chen Lin, Yan Wang, Jun Jin, Xiaoming Jiang, Jianwei Shuai, Xiang Li, Jinjin Zhong

“…The associated Python packages and datasets of UNet-Att are freely available at https://github.com/ZjjDh/UNet-Att .…”
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Between-Subject and Within-Subject Variation of Muscle Atrophy and Bone Loss in Response to Experimental Bed Rest by Jonas Böcker, Marie-Therese Schmitz, Marie-Therese Schmitz, Uwe Mittag, Jens Jordan, Jens Jordan, Jörn Rittweger, Jörn Rittweger

“…To improve quantification of individual responses to bed rest interventions, we analyzed peripheral quantitative computer tomography (pQCT) datasets of the lower leg of 76 participants, who took part in eight different bed rest studies. …”
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Sandpiper optimization with hybrid deep learning model for blockchain-assisted intrusion detection in iot environment by Mimouna Abdullah Alkhonaini, Manal Abdullah Alohali, Mohammed Aljebreen, Majdy M. Eltahir, Meshari H. Alanazi, Ayman Yafoz, Raed Alsini, Alaa O. Khadidos

“…The experimental validation of the SPOHDL-ID method portrayed a superior accuracy value of 99.59 % and 99.54 % over recent techniques under the ToN-IoT and CICIDS-2017 datasets.…”
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An empirical study of LLaMA3 quantization: from LLMs to MLLMs by Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno

“…Specifically, we comprehensively evaluate the 10 existing post-training quantization and LoRA fine-tuning (LoRA-FT) methods of LLaMA3 on 1-8 bits and various datasets to reveal the low-bit quantization performance of LLaMA3. …”
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A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

“…Ultimately, 74 and 15 patients (342 and 146 6-hourly datasets) were included in the learning and validation data, respectively. …”
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Hospitalisation from seasonal influenza among persons with type 1 diabetes: a cohort study from the Swedish National Diabetes Register by Katarina Eeg-Olofsson, Björn Eliasson, Hanne Krage Carlsen, Lena Svensson, Magnus Gisslén, Elin Allansson Kjölhede, Oliver Martyn

“…Objectives The aim of this study was to investigate the risk of severe influenza resulting in hospitalisation among adults with type 1 diabetes (T1D).Design Nationwide cohort study using register data.Settings Data from the National Diabetes Register (NDR) linked to the Swedish Patient Register, Statistics Sweden and the Swedish Population Register.Participants Persons with T1D in the Swedish NDR n=35 596 and control persons from the Swedish Population Register matched on age, sex and county of residence, n=155 590.Primary and secondary outcomes Hospitalisation from seasonal influenza from October 2013 to December 2019. …”
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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…Using 3 m resolution L-band InSAR products over Grand Mesa, Colorado, we compared the performance of three machine learning approaches (XGBoost, ExtraTrees, and Neural Networks) across open, vegetated, and the combined (open + vegetated) datasets using Root Mean Square Error (RMSE), Mean Bias Error (MBE), and R2 metrics. …”
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Challenges and opportunities for data integration to improve estimation of migratory connectivity by Jeffrey A. Hostetler, Emily B. Cohen, Christen M. Bossu, Amy L. Scarpignato, Kristen Ruegg, Andrea Contina, Clark S. Rushing, Michael T. Hallworth

“…Multiple data types on animal movements are becoming increasingly available and integration of these growing datasets will lead to a better understanding of the full annual cycle of migratory animals.…”
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Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…To train the proposed deep face analysis network architecture, two custom datasets (HDDB and FRAED) were created for head detection and face-age recognition. …”
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Identification of lethality-related m7G methylation modification patterns and the regulatory features of immune microenvironment in sepsis by Dan Wang, Rujie Huo, Lu Ye

“…Methods: Three sepsis-related datasets (E-MTAB-4421 and E-MTAB-4451 as training sets and GSE185263 as a validation set) were collected, and differentially expressed m7G-related genes were analyzed between survivors and non-survivors. …”
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Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations by Konrad Biszko, Jacek Oskarbski, Karol Żarski

“…The proposed method aims to evaluate the precision of the microscopic model in replicating real road networks and traffic based on available datasets. Two car-following models (CFM), Wiedemann 74 (W74), and Wiedemann 99 (W99) are chosen for further analysis. …”
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Caregivers’ experiences of being asked about adverse childhood experiences and receiving support from an integrated health and social care hub: a qualitative study by Ashraful Kabir, Harriet Hiscock, Hueiming Liu, Lingling Chen, Rebecca Bosward, Natalie White, Sarah Loveday, Wilhelmina Ebbett

“…NVivo (V.12) was used to organise, index and retrieve data.Settings This study was conducted in two Child and Family Hubs (CFHs) in Australia—IPC Health, Wyndham Vale, Melbourne, and Marrickville Health Centre, Sydney, between May and October 2023.Participants Participants (n=29) were the caregivers of children living with adverse childhood experiences (ACEs).Results Four themes were identified which reflected the caregivers’ experiences of being asked about adversities and how they linked to the support and services both in the CFHs and outside the CFH. …”
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A Clinical Prediction Model for Pathologic Upgrade to Invasive Carcinoma Following Conization of Cervical High‐Grade Squamous Intraepithelial Lesions by Qiao Liu, Jing Yang, Hui Cheng, Chuqiang Shu, Yi Tang, Jing Zhao

“…Area under the curve analysis indicated good model discriminability across external datasets. The decision curve analysis also suggested that this model is clinically useful. …”
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