INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

“…The authors identify five basic functions of rural areas, developed and presented by the author’s methodology for monitoring the dynamic and including thirty-one indicators, which allow to assess the changes in rural area over the years.Discussion. …”
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Urotensin-II: More Than a Mediator for Kidney by Ayşe Balat, Mithat Büyükçelik

“…Although both hU-II and its receptor, GPR14, are detected in several tissues, kidney is a major source of U-II in humans. …”
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Two-Stage Detectors with Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks by Ashish Bagwari, Geetam Singh Tomar

“…Cognitive radio (CR) is a regulated technique for opportunistic access of idle resources. In CR, spectrum sensing is one of the key functionalities. …”
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Epidemic preparedness and response capacity against infectious disease outbreaks in 186 countries, 2018–2022 by Paul Eze, Judith Chidumebi Idemili, Friday Onwubiko Nwoko, Nigel James, Lucky Osaheni Lawani

“…From the 2022 submissions, 116 (62%) countries reported functional (Level 4 or 5) prevention capacity, 162 (87%) had functional detection capacity, 118 (63%) had functional response capacity, 121 (65%) had functional enabling resources and coordination capacity, and 133 (72%) had functional operational readiness against public health events. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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Characteristics of chemically induced liver progenitors derived from a pig model of metabolic dysfunction-associated steatotic liver disease. by Masayuki Fukumoto, Daisuke Miyamoto, Akihiko Soyama, Takanobu Hara, Yasuhiro Maruya, Peilin Li, Hajime Matsushima, Kazushige Migita, Takahiro Enjoji, Hanako Tetsuo, Takuro Fujita, Mampei Yamashita, Hajime Imamura, Tomohiko Adachi, Kengo Kanetaka, Takahiro Ochiya, Susumu Eguchi

“…In contrast, markers of functional MH after re-differentiation were only detected in the healthy group. …”
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A hybrid zero-reference and dehazing network for joint low-light underground image enhancement by Qing Du, Shihao Zhang, Zhipeng Wang, Jincheng Liang, Shijiao Yang

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THE SOLUTION TO THE EQUATION OF THE SHOCK WAVE BURGERS IN THE PTC MATHCAD ENVIRONMENT by R. E. Oleynikova

“…However, this error is detected through the values of the nonlinear term included in the differential equation, which is determined according to the binomial representation through the quadratic forms of the matrix of the trial function. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…Traditional methods for detecting seed germination rates often involve lengthy experiments that result in damaged seeds. …”
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Quantification of glucagon and oxyntomodulin by protein precipitation-immunoaffinity enrichment-LC-MS/MS by Jessica O. Becker, Sara K. Shijo, Huu-Hien Huynh, Katrina L. Forrest, Michael J. MacCoss, Michelle A. Emrick, Elisha Goonatilleke, Andrew N. Hoofnagle

“…A glucagon calibration material was sourced commercially and characterized for purity and concentration by high-performance liquid chromatography-ultraviolet detection and amino acid analysis. …”
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Proteomic analysis of Buffalo milk somatic cells reveals metabolomic and immunological transitions during early lactation by Priyanka M. Kittur, Lija Satheesan, Narasimha Tanuj Gunturu, Yallappa M. Somagond, A. P. Madhusoodan, Ravi Kumar Gandham, Rani Alex, Ajay Kumar Dang

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In-band network telemetry system based on high-performance packet processing architecture VPP by Tian PAN, Xingchen LIN, Jiao ZHANG, Tao HUANG, Yunjie LIU

“…An in-band network telemetry-based system was built based on VPP, a high-performance virtual network forwarding architecture/device, via reorganizing the data plane pipeline processing modules.Moreover, a network-wide telemetry mechanism was further developed via embedding source routing into the probe packet header for specifying the route of probe packets.Finally, a virtual network topology was built with performance evaluation conducted.The evaluation shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link congestion in real time with minor performance overhead.Given virtual network devices have been widely deployed in data centers, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualization in data centers via high-precision, network-wide virtual link telemetry coverage.…”
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Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. These sources are predominantly located in dust lanes, spiral arms, rings, and galaxy centers, with ∼87% showing concentration indices (CIs) similar to optically detected star clusters. …”
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Differentiation of mtDNA Methylation in Tissues of Ridgetail White Prawn, <i>Exopalaemon carinicauda</i> by Muchen Jiang, Jiayi Gao, Xinyu Zhou, Hao Zhong, Sichen Zhang, Jing Xu, Fei Yu, Xiaofang Lai, Binlun Yan, Huan Gao

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Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

“…Persistent Mobile Organic Compounds (PMOCs) represent a critical threat to water resources due to their high solubility, resistance to degradation, and potential toxicity, posing risks to human health and ecosystems. …”
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Exploring the role of mitochondrial metabolism and immune infiltration in myocardial infarction: novel insights from bioinformatics and experimental validation by Jingyi Hou, Jingyi Hou, Jingyi Hou, Lihan Wang, Lihan Wang, Naiqiang Zhu, Xueli Li

“…This study aimed to clarify the roles of mitochondrial metabolism and immune infiltration in MI, using a combination of bioinformatics analyses and experimental validation.MethodsMI chip data (GSE96561, GSE181872, and GSE183272) were obtained from the Gene Expression Omnibus (GEO) database, and mitochondrial gene data were sourced from the MitoCarta3.0 database. Differentially expressed genes (DEGs) were identified and subjected to functional enrichment analyses. …”
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Regularities of the Natural Evolution of the Proliferative Process in Diabetic Retinopathy. The Concept of Remission of Proliferative Diabetic Retinopathy by S. V. Sdobnikova

“…Signs of remission of proliferative diabetic retinopathy (PDR), regardless of the cause of occurrence (spontaneous or resulting from treatment) are: absence of ophthalmoscopically detectable neovessels; increased/appearance of the fibrous component of proliferation, which is accompanied by traction deformation of the retina. …”
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Genome-Wide Identification of DNA Methyltransferase and Demethylase in <i>Populus</i> sect. Turanga and Their Potential Roles in Heteromorphic Leaf Development in <i>Populus euphra... by Chen Qiu, Jianhao Sun, Mingyu Jia, Xiaoli Han, Jia Song, Zhongshuai Gai, Zhijun Li

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