Identification of microbial species and proteins associated with colorectal cancer by reanalyzing CPTAC proteomic datasets by Jamie Canderan, Yuzhen Ye

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Advances in deep learning and MRI co-assisted genotyping of brain gliomas by CUI Shaoguo, CHEN Junshan

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Targeting Histone Deacetylase 11 with a Highly Selective Inhibitor for the Treatment of MASLD by Feng Zhang, Kairui Yue, Simin Sun, Shengyuan Lu, Geng Jia, Yang Zha, Shuang Zhang, C. James Chou, Chenzhong Liao, Xiaoyang Li, Yajun Duan

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BibMon: An open source Python package for process monitoring, soft sensing, and fault diagnosis by Afrânio Melo, Tiago S.M. Lemos, Rafael M. Soares, Deris Spina, Nayher Clavijo, Luiz Felipe de O. Campos, Maurício Melo Câmara, Thiago Feital, Thiago K. Anzai, Pedro H. Thompson, Fábio C. Diehl, José Carlos Pinto

“…This paper introduces BibMon, a Python package that provides predictive models for data-driven fault detection and diagnosis, soft sensing, and process condition monitoring. …”
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Willingness to Pay Additional Water Rate and Irrigation Knowledge of Farmers in Dinar Karakuyu Irrigation Areas in Turkey by Mevlüt Gül, Kutlan Uzunkaya

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Design and Analytical Evaluation of a New Self-Centering Connection with Bolted T-Stub Devices by Mahbobeh Mirzaie Aliabadi, Mohammad Reza Bahaari, Shahabeddin Torabian

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Multidimensional Analysis of Plates with Irregularities Using Higher-Order Finite Elements Based on Lobatto Shape Functions by Jae S. Ahn

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Experimental and nonlinear finite element analysis for post-tensioned precast frames with mechanical joints by Won-Kee Hong, Tien Dat Pham, Dinh Han Nguyen, Thuc Anh Le, Manh Cuong Nguyen, Van Tien Nguyen

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Neobenedenia melleni Parasite of Red Snapper, Lutjanus erythropterus, with Regression Statistical Analysis between Fish Length, Temperature, and Parasitic Intensity in Infected Fis... by Rajiv Ravi, Zary Shariman Yahaya

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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

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Tuning of Estimated Sound Absorption Coefficient of Materials of Reverberation Room Method by Yaochi Tang, Xiang-Jun Chuang

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The slip-rate, state-, temperature-, and normal-stress-dependence of fault frictionKey points by Sylvain Barbot

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Image recognition method based on internet of things and artificial intelligence technology by Hongwei Zhang

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Comparative life cycle assessments of laboratory and Pilot-scale Mechanochemical processes for producing carbonated mineral products as cement substitutes by Mohamed Katish, Xinyuan Ke, Phil Renforth

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Evolving Nature of Human Contact Networks with Its Impact on Epidemic Processes by Cong Li, Jing Li, Xiang Li

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RELIABILITY ANALYSIS OF TELESCOPIC ARM OF PIELINE-CATCHING VEHICLE BASED ON SEMI-SUPERVISED DEEP NEURAL NETWORK by YUAN Guozhi, LIU Wei, YAN Zilong, ZHANG Ruilin, ZHAO Mingxuan, SANG Jianbing

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Investigating the relationship between the quality of electronic services of the intelligent cooperative system on the satisfaction of cooperative companies by safieh siadat, mohammad rezvanmadani, amirhoshang tajfar

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Farmers decision on land use land cover change from agriculture to forest and factors affecting their decision: the case of Gurage Zone, Central Ethiopia by Tesfanesh Kebede, Alemtsehaye Eyasu, Mister Abebe, Alemayehu N. Ayanad, Asabeneh Alemayehu, Mulatu Mengistf

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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones by Shehzad Ashraf Chaudhry, Azeem Irshad, Bander A. Alzahrani, Ahmad Alhindi, Mohd Shariq, Ashok Kumar Das

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An Explainable Machine Learning Approach for IoT-Supported Shaft Power Estimation and Performance Analysis for Marine Vessels by Yiannis Kiouvrekis, Katerina Gkirtzou, Sotiris Zikas, Dimitris Kalatzis, Theodor Panagiotakopoulos, Zoran Lajic, Dimitris Papathanasiou, Ioannis Filippopoulos

“…Model performance was assessed using the coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) and RMSE, with XGBoost achieving the highest accuracy (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mspace width="3.33333pt"></mspace><mo>=</mo><mspace width="3.33333pt"></mspace><mn>0.9490</mn></mrow></semantics></math></inline-formula>, RMSE 888) and LightGBM being close behind (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mspace width="3.33333pt"></mspace><mo>=</mo><mspace width="3.33333pt"></mspace><mn>0.9474</mn></mrow></semantics></math></inline-formula>, RMSE 902), with both substantially exceeding the industry baseline model (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mspace width="3.33333pt"></mspace><mo>=</mo><mspace width="3.33333pt"></mspace><mn>0.9028</mn></mrow></semantics></math></inline-formula>, RMSE 1500). …”
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