Prioritized Multi‐Step Decision‐Making Gray Wolf Optimization Algorithm for Engineering Applications by Idriss Dagal, Alpaslan Demirci, Ambe Harrison, Wulfran Fendzi Mbasso, Said Mirza Tercan, Burak Akın, Kürşat Tanriöven, Havva Aysun Sezgin Köksal, Ahmet Nayir

“…The multi‐step decision‐making process implemented in PMS‐GWO is critical to achieving these improved convergence and diversity metrics.…”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…A quadratic model correlating the process variables with desulfurization efficiency was developed, yielding an R-squared value of 93.47%. …”
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Simulation of the scrapers with pusher by Nilov V.A.

“…The question of the economic-mathematical modeling of working process of trailed scraper working with a tractor-pusher. …”
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Place of clinical evaluation in the identification of obstructive coronary arteries lesions in patients with stable coronary artery disease: Part II by A. N. Sumin

“…The article discusses the main stages of the diagnostic process (clinical evaluation, determination of pre-test probability, non-invasive tests). …”
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Under-scanning non-line-of-sight imaging based on convolution approximation and optimization by Jinye Miao, Yingjie Shi, Lingfeng Liu, Yi Wei, Fuyao Cai, Lianfa Bai, Enlai Guo, Jing Han

“…Specifically, we incorporate Poisson probability distribution characteristics and a total variation norm of transient images as well as the non-negativity and sparseness of objects into the deconvolution process. This incorporation effectively compensates for the inaccuracies in deconvolution caused by under-scanning measurements and also facilitates the use of regularization terms in the deconvolution process. …”
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A Deep Learning Approach for Image Analysis and Reading Body Weight From Digital Scales in Pigs Farms by Nicolas A. Reyes-Reyes, Mihai Catalin Doja, Pol Llagostera-Blasco, Lluis M. Pla-Aragones, Marcela C. Gonzalez-Araya

“…Traditionally, pig weighing is done directly, i.e. placing one or more pigs at a time on a scale while the total body weight is displayed and recorded. However, this process is labor-intensive, causes stress to the animals, and is highly prone to manual recording errors. …”
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Impact of the new handling recommendations for hazardous drugs in a hospital pharmacy service by Beatriz G García-Alcántara, Catalina Perelló Alomar, Elena Moreno Centeno, Pilar Modamio, Eduardo L Mariño, Olga Delgado Sánchez Olga Delgado Sánchez Olga Delgado Sánchez

“…Any relevant information about the handling and administration of hazardous drugs was included in the prescription computer program. There were changes in the acquisition process of two drugs, in order to avoid splitting and multi-dose formulations. …”
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Surgical Treatment of Purulent Complications and Widespread Paraprosthetic Infection in the Area of the Mesh Prosthesis After Laparoscopic Transabdominal Preperitoneal Hernioplasty... by H.M.H. Karkhani, E. A. Gallyamov, A. S. Vorotyntsev, A. Yu. Emelyanov, D.M.E. Henein, A. B. Shalygin, B. Sharma

“…The purpose of our article is to draw the attention of surgeons to the possibility of a rare infectious complication in the area of the synthetic mesh prosthesis after right laparoscopic preperitoneal hernioplasty for inguinal hernia 4 months after the initial operation, after which the infectious process may spread from the area of the infected prosthesis into the abdominal cavity. …”
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An integrated expert recommender system approach to environmental service priorities in renewable energy by Serhat Yüksel, Hasan Dinçer, Ümit Hacıoğlu, Jaehyung An, Alexey Mikhaylov, Zuleima Karpyn

“…Similarly, collaborative filtering methodology is taken into consideration to complete missing evaluations. In this process, the decision makers are allowed to leave the questions they wanted blank. …”
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Efficient Recursive Methods for Partial Fraction Expansion of General Rational Functions by Youneng Ma, Jinhua Yu, Yuanyuan Wang

“…The proposed pfe methods require only simple pure-algebraic operations in the whole computation process. They do not involve derivatives when tackling proper functions and require no polynomial division when dealing with improper functions. …”
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Deep Learning Approach for Estimating Workability of Self-Compacting Concrete from Mixing Image Sequences by Zhongcong Ding, Xuehui An

“…We propose a deep learning approach to better utilize the spatial and temporal information obtained from image sequences of the self-compacting concrete- (SCC-) mixing process to recover SCC characteristics in terms of the predicted slump flow value (SF) and V-funnel flow time (VF). …”
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Nicolai maps and uniqueness in the light-cone gauge by Nipun Bhave, Saurabh Pant

“…The process of integrating out unphysical degrees of freedom in this gauge, produces a four fermion interaction term. …”
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Research of STR multicast key management protocol based on bilinear pairing in ad hoc network by ZHOU Fu-cai1, XU Jian2, XU Hai-fang1, LIU Ze-chao1

“…STR multicast key management protocol has an optimal cost in computation,communication and storage.But on security property,STR cannot resist active attacks without providing key authentication.By introducing the bilinear pairing cryptosystem and the 3-ary key tree,the improved STR protocol which is called PSTR（bilinear pairing-based STR） was proposed.The key generation process and six basic sub-protocols were included in the protocol.Through proving the bilinear form of PSTR key tree,the security of the PSTR in computation was proved.Finally PSTR were compared with STR through performance analysis,the results of which show that: PSTR is more efficient than STR in the communication cost and the computation cost as well as the storage requirement.Therefore,PSTR is a novel,reliable group key management protocol,and is well-suited for Ad hoc networks.…”
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Polka-dotted Stars: A Hierarchical Model for Mapping Stellar Surfaces Using Occultation Light Curves and the Case of TOI-3884 by Sabina Sagynbayeva, Will M. Farr, Brett M. Morris, Rodrigo Luger

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Higuchi fractal dimension and deep learning on near-infrared spectroscopy for determination of free fatty acid (FFA) content in oil palm fruit by Muhammad Achirul Nanda, Kharistya Amaru, S. Rosalinda, Inna Novianty, Walidatush Sholihah, Gema Parasti Mindara, Anifatul Faricha, Tusan Park

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Improvement of Mechanical Properties of 3D Bioprinted Structures through Cellular Overgrowth by Adrianna Wierzbicka, Mateusz Bartniak, Jacek Grabarczyk, Nikola Biernacka, Mateusz Aftyka, Tomasz Wójcik, Dorota Bociaga

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The Integration of Carbon Capture, Utilization, and Storage (CCUS) in Waste-to-Energy Plants: A Review by Luigi Acampora, Serena Grilletta, Giulia Costa

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Using large language models for enhanced fraud analysis and detection in blockchain based health insurance claims by Ruba Islayem, Senay Gebreab, Walaa AlKhader, Ahmad Musamih, Khaled Salah, Raja Jayaraman, Muhammad Khurram Khan

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Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection by Md Tahsin, Maksura Binte Rabbani Nuha, Sumaiya Akter, Al Hossain, Mohammad Rifat Ahmmad Rashid, Raiha Ul Islam, Mohammad Shahadat Hossain

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The relationship between artificial intelligence and reducing the cognitive load of learners by Haseeb Mohammed Fakih

“…Moreover, the use of cognitive intelligence reduces the cognitive burden and allows review a large amount of formation that can be obtained from the computer automatically and quickly so that the learner uses it as information or uses it in analysis and inference. …”
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