Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer by Zhuang Li, Yi Su, Yongbin Cui, Yong Yin, Zhenjiang Li

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The evaluation of the hemodynamically significant stenosis of the carotid arteries: analyzing the results from the duplex scanning of vessels, from the computed tomographic and the... by Nataly S. Nosenko, Ekaterina M. Nosenko, Daria S. Alemasova, Tatiana V. Dedy

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Modeling Stock High-Low Price Range: Fractional Cointegrating VAR Approach (FCVAR) by Elham Farzanegan

“…ConclusionThe empirical results show that, unlike the return, which is stationary and unpredictable, the range prices have characteristics of the long-memory processes, falling into non-stationary and stationary levels with mean-reverting behavior. …”
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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The resulting maps provide a valuable baseline for land use planning, natural resource management, and decision-making processes.…”
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Physiological, environmental, and life-history drivers of haemosporidian infections in non-passerine birds from a rehabilitation center by Lis Marques de Carvalho e Vieira, Victor Aguiar de Souza Penha, Kevin J. McGraw, Amanda Vitória Dornelas da Silva, Erika Martins Braga

“…IntroductionPathogens and parasites play a crucial role in shaping ecological and evolutionary processes, influencing the behavior, physiology, and survival of their hosts across diverse ecosystems. …”
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T-lymphocytes of the 2nd type of the immune response and their role in enhancing inflammation during the professional activities of firefighters by N. V. Bychkova, A. A. Kalashnikova, N. M. Kalinina

“…From nasal secretions, the content of secretory immunoglobulin A (Vector Best) was evaluated (n = 30). Statistical processing of the results was performed using the Statistica 12.0 package (StatSoft). …”
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Experience of Hypoxic Conditioning in Rehabilitation Programs for Patients with Chronic Occupational Lung Diseases: a Pilot Study by Xinliang Zhang, Evgeny Е. Achkasov, Elena N. Dudnik, Olga I. Rumyantseva, Oleg S. Glazachev

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Constitutive overexpression of Qui-Quine Starch gene simultaneously improves starch and protein content in bioengineered cassava (Manihot esculenta Crantz) by Bertrand Bachaumond Hankoua, Marieme Diao, Ayalew Ligaba-Osena, Rafael A. Garcia, Sarahani Harun, Yogesh K. Ahlawat, Yogesh K. Ahlawat

“…These gene networks comprised several functional categories regulating the starch metabolic and auxin biosynthetic processes. The role of QQS in imparting starch and protein content of transgenic cassava plants is validated. …”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…A supervised classification via the Super Vector Machine algorithm identified four land use categories: built-up areas, barren lands, green spaces, and water bodies. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…This study sought to evaluate the region's surface water quality and sources of contamination using machine learning (ML) methods such as Logistic Regression (LOR), Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), Decision Tree (DT), and K-Nearest Neighbor (KNN). …”
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H_221E; Switched Controller Design for a Class of Uncertain Linear Systems Using Derivative Feedback by Leidy D. Wolmuth, Uiliam Nelson L. T. Alves, Andre Krindges, Rodrigo Cardim, Edvaldo Assuncao, Marcelo C. M. Teixeira

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Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia by Yi Wei Chen, Shan He, Yu Wang, Lian Ying Hu, Qin Kai Chen, Si Yi Liu

“…Using Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Extreme Gradient Boosting (XGB), and Random Forest (RF) algorithms, we identified three key mitochondrial hub genes. …”
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Progress of personalized medicine of cystic fibrosis in the times of efficient CFTR modulators by Burkhard Tümmler, Sophia Theres Pallenberg, Anna-Maria Dittrich, Simon Y. Graeber, Lutz Naehrlich, Olaf Sommerburg, Marcus A. Mall

“…CFTR modulators are a novel class of drugs that improve defective posttranslational processing, trafficking and function of mutant CFTR. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Identifying correspondences of road segments in different road networks, namely road-network matching, is an essential task for road network-centric data processing such as data integration of road networks and data quality assessment of crowd-sourced road networks. …”
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Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model by Yang Yan, Zhong Chen, Xinglei Shen, Ronald C. Chen, Hao Gao

“…Methods Based on the well-documented prostate cancer PRO dataset with 17 patients after pre-processing, this study evaluates single-patient time series models (i.e., vector autoregression (VAR) and VAR with incremental ground truth PRO data (VAR-Inc)) and a transformer-based multi-patient model (i.e., Temporal Fusion Transformer (TFT)) for short- and long-term weekly PRO prediction. …”
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Climate Study of Changes of Major Water Resources in Qom Province Using Satellite Data and Remote Sensing Technologies by Nima Rohani, Taher Rajaee, Barat Mojaradi, Ehsan Jabbari, Seyed Ahmad Shafiei Darabi, Mehran Heidari Bani

“…These images were pre-processed, processed and post-processed. Classification indices of four classes of water, salt land, common soil land and vegetation were applied and localized in Qom province. …”
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The transcription factor PbeNAC83 positively regulates the Valsa canker resistance in apple and pear by DOU Zhiqi, CAI Minrui, DU Chenglong, HU Huanhuan, ZUO Cunwu

“…As a vital plant-specific transcription factor family, NAC factors are significantly involved in this process. Previous studies have shown that NAC transcription factors are involved in a wide range of plant physiological processes and responses to various environmental stresses. …”
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Automated essay scoring with SBERT embeddings and LSTM-Attention networks by Yuzhe Nie

“…This study presents an innovative AES method that integrates Sentence-BERT (SBERT) with Long Short-Term Memory (LSTM) networks and attention mechanisms to improve the scoring process. SBERT generates embedding vectors for each essay, which are subsequently analyzed using a bidirectional LSTM (BiLSTM) to learn the features of these embedding vectors. …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

“…The findings of the current study, in turn, contribute to the understanding of FFT of CO2 and the optimal design of the CCC processes in natural gas industries.…”
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