Design of Batch Distillation Columns Using Short-Cut Method at Constant Reflux by Asteria Narvaez-Garcia, Jose del Carmen Zavala-Loria, Luis Enrique Vilchis-Bravo, Jose Antonio Rocha-Uribe

“…A short-cut method for batch distillation columns working at constant reflux was applied to solve a problem of four components that needed to be separated and purified to a mole fraction of 0.97 or better. …”
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Characterization of the effects of hyaluronan oligosaccharides on human gut microbiota using a simulated batch fermentation system by Xinwei Gao, Hongkang Zhu, Litao Hu, Jieyu Sun, Wenjie Zuo, Ping Liu, Yang Wang, Guocheng Du, Zhen Kang

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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

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Decentralized Trust and Dynamic Batching for Multi-Domain SDN Using Blockchain by Javier Jose Diaz Rivera, Ricard Vilalta, Raul Munoz, Pol Alemany, Lluis Gifre Renom

“…The framework leverages permissioned blockchains to establish decentralized trust, with SDN controllers acting as validator nodes to validate and commit transactions upon reaching consensus. An Adaptive Batch Mechanism (ABM) is introduced to optimize block formation by dynamically adjusting batch parameters and using dummy transactions to maintain efficiency during low and varying transaction loads. …”
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Study on the two-phase flow behavior in batch transportation of liquid ammonia and product oil by Xin HUANG, Hongxiang SHI, Yilong LI, Weidong LI, Pengbo YIN, Zhenchao LI, Lin TENG, Lilong JIANG

“…Currently, there is little research on the batch transportation of liquid ammonia via product oil pipelines. …”
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Novel Acylated Naringin Enhances Propionate Release and Stimulates the Growth of Flavanone-Metabolizing Bacteria in an In Vitro Batch Fermentation Model by Blanca Elizabeth Ruiz-Álvarez, José Daniel Padilla-de la Rosa, Marisela González Avila, Georgina Sandoval, Yves Desjardins

“…In this study, we investigated the effects of naringin acetate and naringin propionate on SCFA production using a 24 h short-term in vitro batch fecal fermentation model with microbiota from two donors. …”
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Dynamic Scheduling and Preventive Maintenance in Small-Batch Production: A Flexible Control Approach for Maximising Machine Reliability and Minimising Delays by Alexandra Maierhofer, Sebastian Trojahn, Frank Ryll

“…Single- and small-batch production requires flexible production control to maximise machine reliability and minimise delivery delays. …”
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Release of Hypoglycin A from Hypoglycin B and Decrease of Hypoglycin A and Methylene Cyclopropyl Glycine Concentrations in Ruminal Fluid Batch Cultures by Anna Maria Engel, Ahmed H. El-Khatib, Martin Bachmann, Monika Wensch-Dorendorf, Fenja Klevenhusen, Stefan Weigel, Robert Pieper, Annette Zeyner

“…The transformation of hypoglycin A (HGA), hypoglycin B (HGB), and methylene cyclopropyl glycine (MCPrG) in ruminal fluid batch cultures was investigated, and the effect of these toxins on the batch culture microorganisms using microbial metabolites was measured. …”
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Short-Form Psychoeducation Videos: Process Development Study by Louise Turtle, Helen Alexandra Wesson, Simon Williamson, Nathan Hodson

“…Between 4 and 11 expert contributors reviewed any given batch of videos. Based on early feedback, we removed checklist formats in favor of positive storytelling, slowed pacing, and added subtitles to ensure readability and reduce cognitive load. …”
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Short-Term Traffic Flow Forecasting Model Based on GA-TCN by Rongji Zhang, Feng Sun, Ziwen Song, Xiaolin Wang, Yingcui Du, Shulong Dong

“…Therefore, a short-term traffic flow forecasting model GA-TCN based on genetic algorithm (GA) optimized time convolutional neural network (TCN) is proposed in this paper. …”
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THE ANALYSIS OF PROCESS OF MELTING OF ALUMINIUM SHAVING AND SLAG IN THE SHORT-FLAME ROTOR FURNACE by L. V. Tribushevskiy, B. M. Nemenenok, G. A. Rumyantseva, V. S. Rimoshevskiy

“…The analysis of results of 180 casts in the short-flame rotor furnace with use in quality the batch mixture of aluminum shaving, slag and pro-sowing of slag is carried out. …”
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The Role of Short Videos in Medical Training: Student Feedback and an Experiential Learning Perspective by DEEPIKA VELUSAMI, SHIVAYOGAPPA TELI, KRISHNAMURTHY SOUNDARIYA, SENTHAMIL K, MANGANI S

“…Under the guidance of faculty members, the groups created short videos on the assigned physiological concepts, which were uploaded in Learning Management System (LMS)for peer and faculty review. …”
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Analysis of deviation from nominal control chart performance on short production runs by Márcio Ricardo Morelli de Meira, Pedro Carlos Oprime, Ricardo Coser Mergulhão

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Difficulties of Non-English Study Program Students in Taking the TOEFL-Like Test at Universitas Muhammadiyah Yogyakarta: A Case Study of UMY Economics Study Program Students batch... by Setiawati Sri Ani Puji, Farahsani Yashinta, Febrindasari Chyndy

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Design and Implement Deepfake Video Detection Using VGG-16 and Long Short-Term Memory by Laor Boongasame, Jindaphon Boonpluk, Sunisa Soponmanee, Jirapond Muangprathub, Karanrat Thammarak

“…The result showed that the VGG-16 model with 15 epochs and 32 batch sizes had the highest performance. The results showed that the VGG-16 model with 15 epochs and 32 batch sizes exhibited the highest performance, with 96.25% accuracy, 93.04% recall, 99.20% specificity, and 99.07% precision. …”
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Long Short-Term Memory as a Rainfall Forecasting Model for Bogor City in 2025-2026 by Nur Anggraini Fadhilah, Muhammad Abshor Dzulhij Rizki, Muhammad Ryan Azahran, Siti Arbaynah, Rakesha Putra Antique Yusuf, Yenni Angraini, Muhammad Rizky Nurhambali

“…The best-performing model was achieved with 25 epochs and a batch size of 1, resulting in an average RMSE of 56.3340, MAE of 35.5223, and correlation of 0.3209. …”
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LONG-SHORT TERM MEMORY (LSTM) FOR PREDICTING VELOCITY AND DIRECTION SEA SURFACE CURRENT ON BALI STRAIT by Diah Devi Pramesti, Dian C Rini Novitasari, Fajar Setiawan, Hani Khaulasari

“…In this study, the Long Short Term Memory method was used. The parameters used are hidden layer, batch size, and learn rate drop. …”
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FORECASTING EGG PRICES WITH CONVOLUTIONAL LONG SHORT-TERM MEMORY IN INDONESIA’S HIGH STUNTING PREVALENCE PROVINCE by Sinta Septi Pangastuti, Muhammad Restu Agam, Ananda Hilmi Santika, Juzma Fawwaza Rosadi

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Peramalan Harga Cabai Rawit Merah Menggunakan Attention Mechanism Berbasis Long Short-Term Memory by Wina Witanti, Setyo Arie Anggara, Melina Melina

“…This research aims to create a price forecasting system for red cayenne peppers in West Java by comparing two deep learning approaches, namely Long-Short Term Memory (LSTM) and Long-Short Term Memory with Attention Mechanism (LSTM-Attention-LSTM) to obtain high accuracy in predicting the price of red cayenne pepper. …”
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Prediction of Solar Radiation Data for Garlic Production in Magelang Regency Using Long Short-Term Memory by Muhammad Safrul Safrudin, Imas Sukaesih Sitanggang, Hari Agung Adrianto, Syarifah Aini

“…The LSTM model was trained with the Adam optimizer, using a configuration of 1000 epochs, a batch size of 6, and a dropout rate of 2.0 to prevent overfitting. …”
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