Models of efficiency of functioning in trading enterprises under conditions of economic growth by Ilyash Olha, Vasyltsiv Taras, Lupak Ruslan, Get’manskiy Volodymyr

“…The socio-economic situation in Ukraine suggests that there is insufficient research into the applicability of the model of economic development in forecasting the economic environment in which trade enterprises function. Researchers into issues relating to the efficiency of enterprises’ functioning focus their interest on comprehensively describing efficiency indicators and determining the factors influencing it. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…We select the optimal threshold and loss function, which are part of our optimal model, by comparing metrics such as accuracy, precision, recall, False Alarm Rate (FAR), Area Under the Receiver Operating Characteristic Curve (AUC-ROC), and Area Under the Precision–Recall Curve (AUC-PR) values. …”
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Trait-Based Selection of Seeds Ingested and Dispersed by North American Waterfowl by Bia A. Almeida, Mihai Costea, Giliandro G. Silva, Leonardo Maltchik, Susan E. W. De La Cruz, John Y. Takekawa, Andy J. Green

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Multivariate assessment of morpho-biochemical and bioactive diversity in Syzygium cumini (L.) Skeels for the selection of superior genotype and breeding applications by Ajay Kumar, Kanhaiya Singh, Jai Prakash, Amit Kumar Goswami, Vishaw Bandhu Patel, Aditya Dnyaneshwar Ingole, Bhupendra Sagore, Gyan Prakash Mishra, Virendra Singh Rana, Rakesh Bhardwaj, Amit Kumar Singh

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Investigation of Selected Companies' Websites for Online Recruitment and Sustainability Indicators by Gamze Ay, Hasan Tutar

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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…It then constructs an objective function within a least squares framework and optimizes it using the Levenberg–Marquardt (LM) algorithm to achieve a stable estimation of magnetic source parameters. …”
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Detecting ROM changes using KINOVEA after muscle decontracture technique by Popa Vlad, Sandor Iosif, Ciocoi-Pop Dumitru Rareș

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Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer by Thomas Rempfler, Christian Rossi, Jan Schweizer, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

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Characterizing the influence of varying functional traits from remotely sensed data on forest productivity acquired from selected NEON sites by Paige T. Williams, Valerie A. Thomas, Randolph H. Wynne, Karl F. Huemmrich, David J. Harding, K. Jon Ranson, Petya K. Campbell, Elizabeth M. Middleton

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Review: Feed efficiency and metabolic flexibility in livestock by W.M. Rauw, L.H. Baumgard, J.C.M. Dekkers

“…The examples presented in this review show that selection for improved feed efficiency does not necessarily narrow the metabolic space and result in trade-offs between productivity and vital functions because of energy−sparing mechanisms.…”
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ody percussion as a pedagogical resource. Bibliometric study on body percussion based exclusively on secondary search engines by Antonio Francisco Arnau-Mollá, Francisco Javier Romero-Naranjo

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Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

“… Thenus spp. are slipper lobsters which are commercially significant as a food source with good aquaculture potential. This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. …”
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Investment Function of Economic Growth in Russia by O. S. Sukharev

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Mapping Pressure Surge Source in Urban Water Networks: Integrating Low‐ and High‐Frequency Pressure Data With an Illustrative Real Case Study by S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, C. Capponi

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A Pre-Selection–Enhanced Arbiter PUF for Strengthening PUF-Based Authentication by Rizka Reza Pahlevi, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada

“…Physical Unclonable Functions (PUFs) have emerged as a compelling solution for hardware-based authentication, yet arbiter PUFs often require additional mechanisms to address reliability challenges and vulnerabilities to attacks. …”
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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

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Whole genome resequencing-based analysis of plateau adaptation in Meiren yak (Bos grunniens) by Tong Wang, XiaoMing Ma, ChaoFan Ma, XiaoYun Wu, Ta ZhaXi, LiXin Yin, WeiGuo Li, YuFei Li, ChunNian Liang, Ping Yan

“…The genes in Meiren yak with positive selection in selection signal analysis were subjected to the Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, which indicated that the genes were related to the adaptability to high altitude and hypoxic environment. …”
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Simulation Study on Detection and Localization of a Moving Target Under Reverberation in Deep Water by Jincong Dun, Shihong Zhou, Yubo Qi, Changpeng Liu

“…Deep-water reverberation caused by multiple reflections from the seafloor and sea surface can affect the performance of active sonars. To detect a moving target under reverberation conditions, a reverberation suppression method using multipath Doppler shift in deep water and wideband ambiguity function (WAF) is proposed. …”
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Extreme functional specialization of fertile leaves in a widespread fern species and its implications on the evolution of reproductive dimorphism by Jacob S. Suissa, Noah Barkoff, James E. Watkins

“…Abstract Resource allocation theory posits that organisms distribute limited resources across functions to maximize their overall fitness. …”
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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

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