NEW MEAT PRODUCTS WITH IMMUNOMODULATORY EFFECT CREATION METHOD by I. V. Kaltovich, O. V. Dymar

“…New meat products with immunomodulatory effect creation method reflecting differential characteristics of technological stages of manufacture of those types of meat products, including issues on the selection of primary and secondary raw materials, guidelines for development of formulations and production technologies, legislative requirements towards its labeling, etc, has been developed for the first time. …”
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Time-Series Large Language Models: A Systematic Review of State-of-the-Art by Shamsu Abdullahi, Kamaluddeen Usman Danyaro, Abubakar Zakari, Izzatdin Abdul Aziz, Noor Amila Wan Abdullah Zawawi, Shamsuddeen Adamu

“…Large Language Models (LLMs) have transformed Natural Language Processing (NLP) and Software Engineering by fostering innovation, streamlining processes, and enabling data-driven decision-making. …”
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DIACHRONIC PERSPECTIVE ON THE AGING DISCOURSE IN THE FICTIONS OF WESTERN EUROPE AND THE USA by Anna V. Gaidash

“…Apart from that a contemporary discourse of the dynamics of aging in fiction also develops representations of the routine life of elderly characters, their social statuses, relations within their families and issues of transcendence. The methods used in the paper are mixed: historical data processing, analyses of interdisciplinary resources (anthropology, literary gerontology, social gerontology, age studies). …”
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Improved Detection and Location of Small Crop Organs by Fusing UAV Orthophoto Maps and Raw Images by Huaiyang Liu, Huibin Li, Haozhou Wang, Chuanghai Liu, Jianping Qian, Zhanbiao Wang, Changxing Geng

“…While raw images do not exhibit these issues, they pose challenges in accurately obtaining the geolocation data of detected small objects. …”
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Deciphering Default Mode Network Dynamics in Alcohol Use Disorder Through Directed Transfer Function Analysis of EEG by Komal Masroor, Danish M. Khan, Hashim Raza Khan, Norashikin Yahya, Kamran Arshad, Khaled Assaleh

“…This study investigates the physiological mechanisms of alcohol’s impact on brain connectivity within the default mode network (DMN), a critical hub for cognitive and emotional processing. EEG data from 30 AUD patients (AUD-P) and 30 healthy controls (HC) revealed significant connectivity disruptions, particularly in frontal and parietal regions. …”
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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

“…Existing deep learning-based tongue image segmentation models face issues such as poor versatility and insufficient expressiveness in zero-shot tasks. …”
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Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

“…According to experimental results, our model achieves a processing time reduction of 30%, a transaction verification speed gain of 50%, and an energy usage savings of 40% over traditional blockchain frameworks. …”
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Emerging Roles of GDF15 in Metabolic and Cardiovascular Diseases by Tian Tian, Monan Liu, Peter J. Little, Hans Strijdom, Jianping Weng, Suowen Xu

“…This review summarizes the expression, distribution, structure, processing, and secretion of GDF15. We also discuss multilayered regulatory networks governing GDF15 expression, including ATF4/CHOP, AMPK, EGR1, EZH2, PPARγ, NRF2, ERRγ, and p53, as well as posttranscriptional regulator CNOT6L. …”
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LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

“…The processing of LiDAR point cloud data is of critical importance in the context of forest resource surveys, as well as representing a pivotal element in the realm of forest physiological and ecological studies.Nonetheless, conventional denoising algorithms frequently exhibit deficiencies with regard to adaptability and denoising efficacy, particularly when employed in relation to disparate datasets.To address these issues, this study introduces DEN4, an unsupervised, deep learning-based point cloud denoising algorithm designed to improve the accuracy of single tree segmentation in LiDAR point clouds.DEN4 introduces a multilevel noise separation module that effectively distinguishes between signal and noise, thereby improving the signal-to-noise ratio (SNR) and reducing the error.The experimental results demonstrate that DEN4 significantly outperforms traditional denoising methods in several key metrics, including mean square error (MSE), SNR, Hausdorff distance, and structural similarity index (SSIM).In the 60 sample dataset, DEN4 achieved the best mean and standard deviation on all metrics: Specifically, the MSE mean was found to be 0.0094, with a standard deviation of 0.0008, the SNR mean was 149.1570, with a standard deviation of 0.5628, the Hausdorff mean was 0.8503, with a standard deviation of 0.0947, and the SSIM mean was 0.8399, with a standard deviation of 0.0054. …”
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Marine natural products as a source of novel anticancer drugs: an updated review (2019–2023) by Hesham R. El-Seedi, Mohamed S. Refaey, Nizar Elias, Mohamed F. El-Mallah, Faisal M. K. Albaqami, Ismail Dergaa, Ming Du, Mohamed F. Salem, Haroon Elrasheid Tahir, Maria Dagliaa, Nermeen Yosri, Hongcheng Zhang, Awg H. El-Seedi, Zhiming Guo, Shaden A. M. Khalifa

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Study on the dynamic impact response of Arc-direct energy deposited Al-Cu-Mn-Zr alloy by Yinghui Zhou, Shihao Kang, Yongming Ren, Yongqin Liu, Ziqi Jie, Yuhong Yao, Xuewei Fang, Xin Lin, Ahmad Shah

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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle’s sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment. …”
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The Modern Trends of Financial Reporting Development by Olga V. Rozhnova

“…In this regard, to continue work on conceptual, methodological, and practical issues relating to the financial statements, it is necessary to have a scientific understanding and analysis of current trends in its development. …”
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Beyond Latency: Chronic <i>Toxoplasma</i> Infection and Its Unveiled Behavioral and Clinical Manifestations—A 30-Year Research Perspective by Ashkan Latifi, Jaroslav Flegr

“…Studies have reported associations between infection and poorer performance in areas such as reaction time, processing speed, working memory, and executive function. …”
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Metagenomic analysis post thermal stress in buffalo sludge and tomato pomace anaerobic digestion: a case study by Maria Chiara La Mantia

“… The tomato processing industry is one of the most important sectors in the agri-food industry, and annually,  more than 39.2 million tons of tomatoes are processed globally. …”
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Carbon footprint and cost analysis of a bicycle lane in a municipality by J. Prasara-A, A. Bridhikitti

“…While several studies have addressed social issues of cyclists, the environmental impacts and economic viability of cycling infrastructure are yet unknown. …”
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Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

“…In order to address the issues of low efficiency, insufficient visualization, and inadequate utilization of three - dimensional geological information in the design of mine water drainage boreholes, a design method for water drainage boreholes is proposed based on a three - dimensional geological model, by comprehensively applying technologies such as spatial topology relationships and spatial geometric algorithms. …”
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Effect of Raphanus sativus L. var. sativus on Bakery Quality by Anastasia V. Paymulina, Olga V. Golub, Galina P. Chekryga, Oleg K. Motovilov, Pavel V. Semenov

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Adapting Vision Transformer-Based Object Detection Model for Handwritten Text Line Segmentation Task by Osman Furkan KARAKUŞ, Ayla GULCU, Ali Can KARACA

“…In order to adapt DETR for the line segmentation task, we applied a pre-processing step that involves dividing each line into fixed-size image patches followed by adding positional encoding. …”
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Re‐evaluation of sucrose esters of fatty acids (E 473) as a food additive in foods for infants below 16 weeks of age and follow‐up of its previous evaluations as food additive for... by EFSA Panel on Food Additives and Flavourings (FAF), Maged Younes, Gabriele Aquilina, Laurence Castle, Gisela Degen, Karl‐Heinz Engel, Paul J Fowler, Maria Jose Frutos Fernandez, Peter Fürst, Rainer Gürtler, Trine Husøy, Melania Manco, Wim Mennes, Peter Moldeus, Sabina Passamonti, Romina Shah, Ine Waalkens‐Berendsen, Matthew Wright, Karlien Cheyns, Birgit Dusemund, Manuela Mirat, Alicja Mortensen, Dominique Turck, Detlef Wölfle, Stefania Barmaz, Agnieszka Mech, Ana Maria Rincon, Alexandra Tard, Giorgia Vianello, Panagiota Zakidou, Ursula Gundert‐Remy

“…Abstract Sucrose esters of fatty acids (E 473) was re‐evaluated in 2004 by the former EFSA Panel on Food Additives, Flavourings, Processing Aids and Materials in Contact with Food (AFC Panel). …”
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