Sediment flow connectivity index data for the Apulia region (Italy): An open-source geodatabase and the innovative CONNECTOSED WebGIS platformZenodo by Alok Kushabaha, Domenico Capolongo, Giovanni Scicchitano, Floriana Rizzo, Marina Zingaro

“…The geodatabase maintains the mapping methodology underlying the SfCI algorithm by integrating various Earth datasets from multiple sources through ArcMap™, QGIS® and Matlab® software. …”
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Unleashing the power of internet of things and blockchain: A comprehensive analysis and future directions by Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Sandeep Jagtap, Mohammad Iranmanesh, Salem Alghamdi, Yaser Alhasawi, Yasanur Kayikci

“…This review paper endeavours to bridge this gap by meticulously analysing a dataset of 4455 journal articles drawn solely from the Scopus database, cantered around IoT and blockchain applications. …”
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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…Our goal is to develop and explain predictive models for these crops, using a large dataset of satellite images, additional data modalities, and crop yield maps. …”
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Ultranarrow-linewidth stimulated Brillouin scattering with fundamental acoustic waves by Wendao Xu, Maxime Zerbib, Arjun Iyer, Kien Phan Huy, Jean-Charles Beugnot, William H. Renninger

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Progressive Bitwidth Assignment Approaches for Efficient Capsule Networks Quantization by Mohsen Raji, Amir Ghazizadeh Ahsaei, Kimia Soroush, Behnam Ghavami

“…Our experimental results on ShallowCaps and DeepCaps networks across multiple datasets (MNIST, Fashion-MNIST, CIFAR-10, and SVHN) demonstrate the efficiency of our approach. …”
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Milk adulteration identification using hyperspectral imaging and machine learning by Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

“…These algorithms are trained and validated using a developed milk adulteration dataset. Training, testing, and validation accuracy, precision, recall, F1 score, kappa, and Matthew's correlation coefficient metrics showcase the effectiveness of the proposed pipeline, outclassing numerous state-of-the-art approaches with a validation accuracy of 100%. …”
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Cognitive Deficit-Related Interhemispheric Asynchrony within the Medial Hub of the Default Mode Network Aids in Classifying the Hyperthyroid Patients by Mengmeng Zhi, Zhenghua Hou, Yuqun Zhang, Yingying Yue, Ling Li, Yonggui Yuan

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Long noncoding RNAs predict the survival of patients with colorectal cancer as revealed by constructing an endogenous RNA network using bioinformation analysis by Hui Zhang, Zhuo Wang, Jianzhong Wu, Rong Ma, Jifeng Feng

“…Furthermore, we validate our model in the GSE38832 dataset. Collectively, our study has provided a deeper understanding of the lncRNA‐related ceRNA regulatory mechanism in CRC and identified five‐lncRNA model, which could be considered as candidate prognostic biomarkers and therapeutic targets.…”
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Machine Learning for Lung Cancer Subtype Classification: Combining Clinical, Histopathological, and Biophysical Features by Aiga Andrijanova, Lasma Bugovecka, Sergejs Isajevs, Donats Erts, Uldis Malinovskis, Andis Liepins

“…Further research with expanded datasets is needed to validate these findings.…”
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Is Intestinal Microbiota Fully Restored After Chickens Have Recovered from Coccidiosis? by Jiaqing Guo, Zijun Zhao, Chace Broadwater, Isabel Tobin, Jing Liu, Melanie Whitmore, Guolong Zhang

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Gene Polymorphism of Antigen B Subunit 2 and Pathogenesis of Cystic Echinococcosis in Murine Model by Hadi M. Alsakee, Hussein M. Abdulla, Reshna K. Albarzanji

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Clinical utility of hematological parameters in aplastic anemia by Lizhong Zhang, Xiaonan Han, Qiujuan Zhu, Yu Qin, Yanan Jia

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Comparative miRNAome combined with transcriptome and degradome analysis reveals a novel miRNA-mRNA regulatory network associated with starch metabolism affecting pre-harvest sprout... by Longqing Sun, Ting Zhao, Dandan Qin, Jing Dong, Daorong Zhang, Xifeng Ren

“…In order to further obtain candidate miRNAs, the different datasets of differentially expressed miRNAs were excavated by using differential-expression and time-series analysis. …”
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Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

“…For each dataset, two categories of features were defined: terrain-weather features and spatio-temporal features. …”
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Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods by Sahika Betul Yayli, Kutay Kılıç, Salih Beyaz

“…ApproachWe created a dataset of 14,607 annotated knee AP X-rays from three hospitals. …”
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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…<h4>Methods</h4>A total of 3156 weighted samples of adolescent girls aged 15-19 years were used from the 2016 Ethiopian Demographic and Health Survey dataset. The data was pre-processed, and 80% and 20% of the observations were used for training, and testing the model, respectively. …”
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On the Heating of the Slow Solar Wind by Imbalanced Alfvén-wave Turbulence from 0.06 to 1 au: Parker Solar Probe and Solar Orbiter Observations by Sofiane Bourouaine, Jean C. Perez, Benjamin D. G. Chandran, Vamsee K. Jagarlamudi, Nour E. Raouafi, Jasper S. Halekas

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Ab initio and CALPHAD-type thermodynamic investigation of the Ti-Al-Zr system by Deng Z.-X., Zhao D.-P., Huang Y.-Y., Chen L.-L., Zou H., Jiang Y., Chang K.

“…The Ti–Al–Zr ternary dataset has been established and the calculated results are in close agreement with the experimental data on both thermodynamics and phase equilibria.…”
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The Effect of Nintedanib in Post-COVID-19 Lung Fibrosis: An Observational Study by Narongkorn Saiphoklang, Pimchanok Patanayindee, Pitchayapa Ruchiwit

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Self-Management Education for Persons with Parkinson’s Disease and Their Care Partners: A Quasi-Experimental Case-Control Study in Clinical Practice by Carina Hellqvist, Carina Berterö, Nil Dizdar, Märta Sund-Levander, Peter Hagell

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