Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications by Ikkei Komizu, Koichi Kobayashi, Yuh Yamashita

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An Innovative Process Chain for Precision Agriculture Services by Christos Karydas, Miltiadis Iatrou, Spiros Mourelatos

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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crys... by Ilona A. Isupova, Denis A. Rychkov

“…These options are especially valuable for studying the mechanical properties of molecular crystals with potential applications in organic materials science. Written in the C programming language, <i>CrystalShift</i> offers computational efficiency and compatibility with widely used crystallographic formats such as CIF, POSCAR, and XYZ. …”
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Exploring Deep Learning Model Opportunities for Cervical Cancer Screening in Vulnerable Public Health Regions by Renan Chaves de Lima, Juarez Antonio Simões Quaresma

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Development and Evaluation of a Machine Learning Model for Predicting 30-Day Readmission in General Internal Medicine by Abdullah M. Al Alawi, Mariya Al Abdali, Al Zahraa Ahmed Al Mezeini, Thuraiya Al Rawahia, Eid Al Amri, Maisam Al Salmani, Zubaida Al-Falahi, Adhari Al Zaabi, Amira Al Aamri, Hatem Al Farhan, Juhaina Salim Al Maqbali

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Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer by Laura Sofía Avellaneda-Gómez, Brandon Cortés-Caicedo, Oscar Danilo Montoya, Jesús M. López-Lezama

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Waiting Time Control Chart for M/G/1 Retrial Queue by Yih-Bey Lin, Tzu-Hsin Liu, Yu-Cheng Tsai, Fu-Min Chang

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Utilizing Virtual Worlds for Training Professionals: The Case of Soft Skills Training of Smart City Engineers and Technicians by Maria Rigou, Vasileios Gkamas, Isidoros Perikos, Konstantinos Kovas, Polyxeni Kontodiakou

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Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology by Mariangel Rodríguez, Claudio Córdova, Isabel Benjumeda, Sebastián San Martín

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A Graph-Based Learning Framework for Compiler Loop Auto-Vectorization by Yao Xiao, Nesreen K. Ahmed, Mihai Capotă, Guixiang Ma, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

“…The single instruction multiple data (SIMD) capability in modern processors is critical to improving the performance of current compute-intensive programs. Modern compilers use vectorization techniques to exploit the SIMD capability, by detecting data parallelism in scalar source code and transforming a group of scalar instructions into vector-based instructions. …”
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Exploring faculty experiences with generative artificial intelligence tools integration in second language curricula in Chinese higher education by Javed Iqbal, Vafa Asgarova, Zarqa Farooq Hashmi, Berty Nsolly Ngajie, Muhammad Zaheer Asghar, Hanna Järvenoja

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Dynamic demand response strategies for load management using machine learning across consumer segments by Ravi Kumar Goli, Nazeer Shaik, Manju Sree Yalamanchili

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Mathematical modeling of malaria vaccination with seasonality and immune feedback. by Zhuolin Qu, Denis Patterson, Lihong Zhao, Joan Ponce, Christina J Edholm, Olivia F Prosper Feldman, Lauren M Childs

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Design of an open-source software system for water temperature monitoring by Joao E. M. Perea Martins

“…It was designed with the waterproof temperature sensor model DS18B20, an Arduino board and a computer. The Arduino-based program reads the sensors data and transmits the temperature values to the computer in real-time via a serial communication. …”
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Identifying translation biases of cognate terms in Chinese textbooks: A GloVe-based method with semantic similarity analysis by Youjing Wang

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Validation of skeletal muscle cis-regulatory module predictions reveals nucleotide composition bias in functional enhancers. by Andrew T Kwon, Alice Yi Chou, David J Arenillas, Wyeth W Wasserman

“…We performed a genome-wide scan for muscle-specific cis-regulatory modules (CRMs) using three computational prediction programs. Based on the predictions, 339 candidate CRMs were tested in cell culture with NIH3T3 fibroblasts and C2C12 myoblasts for capacity to direct selective reporter gene expression to differentiated C2C12 myotubes. …”
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Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

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Instruction Sequences with Indirect Jumps by J. A. Bergstra, C. A. Middelburg

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Cryo-EM structure of AAA + ATPase thorase reveals novel helical filament formation by Mohamad Aasif Dar, Robert Louder, Marisol Cortes, Rong Chen, Qianqian Ma, Mayukh Chakrabarti, George K.E. Umanah, Ted M. Dawson, Valina L. Dawson

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