NATURAL RESOURCES AND ANTHROPOGENIC FACTORS OF TOURISM DEVELOPMENT IN CLUJ by Daniela PLEȘOIANU, Cristina GURALIUC

“…The paper presents the tourism sector in the county of Cluj, combining physical and geographical, historical and economic elements favored over time by the emergence of tourism activities in the area. …”
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Walter Crane : de l’album considéré comme un des Beaux-Arts by Isabelle Guillaume

“…He imagined these works for a specific editorial sector, for a restricted territory within the family and social space. …”
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An integrated PLS-SEM model on the interplay of antecedents and moderators driving corporate entrepreneurship activity in South Africa by Boris Urban, Thanusha Govender

“…The study context is the South African banking sector, where primary data (n = 312) is obtained via a structured survey. …”
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Blockchain technology for health information management: a case of Zimbabwe by Sharon R.T. Chilunjika, Dominique E. Uwizeyimana

“…This article aims to explore how the adoption and implementation of Blockchain technology can solve health information management challenges in Zimbabwe's public health sector. This article explores the opportunities and challenges of implementing Blockchain technology in Zimbabwe's public health sector through qualitative desk research. …”
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Information-extremе machine learning for object identification on the terrain by V. V. Moskalenko, A. H. Korobov

“…Kulbak's information measure, which is a function of false omission rate and positive predictive value of decision-making and it also allows machine learning on imbalanced dataset.…”
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LncRNAs regulates cell death in osteosarcoma by Ping’an Zou, Zhiwei Tao, Zhengxu Yang, Tao Xiong, Zhi Deng, Qincan Chen, Li Niu

“…The objective of the current study was to identify if a functional lncRNA-based gene signature exists that regulates non-apoptotic RCD. …”
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PAPR Reduction of OTSM with Random and Orthogonal SLM Phase Sequences and its Recovery in the Presence of EPA, EVA and ETU Channel Models by M. I. Al-Rayif

“…To overcome the high peak-to-average-power ratio (PAPR) in orthogonal time sequency multiplexing (OTSM), this document proposes orthogonal and random selective mapping phase vectors (OSLM and RSLM) after some modifications to be applicable with OTSM constructions at both transmitter and receiver. …”
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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…The best performance of JASBO_ID-Net is analyzed with three performance metrics: accuracy with superior value of 91%, recall with high value of 88.7%, and F-measure with a superior value of 90%. …”
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COMBINING FUZZY ANP AND FUZZY ARAS METHODS FOR DETERMINING THE BEST LAND INVESTMENT LOCATION by Chasib Idris, Mila Kurniawaty, Sa`adatul Fitri

“…Following this, the ranking stage utilizes the Additive Ratio Assessment (ARAS) method, which provides utility function values to determine the efficiency of alternatives. …”
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INFORMATIONAL SUPPORT OF HIGH QUALITY PRODUCTION by A. N. Asanov

“…Scientific novelty: informational-personnel centre for quality is designed, which should contain the sector of support of high quality production. Organizational structure and functional technique of the sector are suggested, its tasks and functions are defined. …”
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Early cortical alterations and neuropsychological mechanisms in amyotrophic lateral sclerosis by Qianqian Zhang, Yu Ding, Yu Zhang, Qingyang Li, Shiyu Shi, Yaxi Liu, Sijie Chen, Qian Wu, Xiaoquan Xu, Feiyun Wu, Xi Cheng, Qi Niu

“…Objective: This study investigates the characteristics of cortical structural and functional alterations in amyotrophic lateral sclerosis (ALS) patients and their modulation of emotional and cognitive functions, as well as to discuss their diagnostic value in early-stage ALS. …”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). …”
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User satisfaction and dissatisfaction with assistive technology devices and services in India by Suraj Singh Senjam, Souvik Manna, Jeewan Singh Titiyal, Anil Kumar, Jugal Kishore

“…Satisfaction was good for AT received from friends and family but was poor for those received from the public sector. The study shows that overall satisfaction and suitability with AT were high among users with functional difficulties, but few have reported barriers to effective device use and facing challenges in accessing repair and follow-up services.…”
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MANAGING THE DEVELOPMENT OF AGRO-INDUSTRIAL CLUSTERS by D. V. Zavyalov, O. V. Saginova, N. B. Zavyalova

“…The obligatory and providing tools, mechanisms for implementing the concept, aimed at eliminating existing problems on the way of forming agro-industrial clusters, are disclosed.Methods: the agro-industrial cluster management model is developed using the methods of economic analysis and synthesis, and functional modelling.Results: conceptual model of cluster development management is presented to be used for the nascent clusters and the development of existing agro-industrial clusters.Conclusions and Relevance: as a result of the conducted research the reasons interfering development of cluster approach in the agroindustrial sector of economy are defined. …”
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Analysis of Surface Roughness and Machine Learning-Based Modeling in Dry Turning of Super Duplex Stainless Steel Using Textured Tools by Shailendra Pawanr, Kapil Gupta

“…One of the most critical aspects of turning, and machining in general, is the surface roughness of the finished product, which directly influences the performance, functionality, and longevity of machined components. …”
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Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment by Ruifeng Ma, Qing Zhu, Xuming Ge, Xin Jia, Han Hu, Tao Liu

“…This approach involves extracting vector lines from point clouds and applying constraints at pivotal points on highway pavement cross-sections. …”
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Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach by Xiaoping Yi, Mingzhao Ma, Xueying Wang, Jinfan Zhang, Feifei Wu, Haimiao Huang, Qian Xiao, An Xie, Peng Liu, Alessandro Grecucci

“…Limited information is available about the functional and structural abnormalities in PBD, particularly when comparing type I with type II subtypes. …”
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G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

“…Then, we add the global average pooling layer to obtain the corresponding feature weight vector of the feature graph. The weighted vectors are superimposed to output class activation maps. …”
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Load Prediction Based on Hybrid Model of VMD-mRMR-BPNN-LSSVM by Gang Zhang, Hongchi Liu, Pingli Li, Meng Li, Qiang He, Hailiang Chao, Jiangbin Zhang, Jinwang Hou

“…Finally, each component is input into the prediction model together with its feature set, in which back propagation neural network (BPNN) is used to predict high-frequency components, least square-support vector machine (LS-SVM) is used to predict intermediate and low frequency components, and BPNN is also used to integrate the prediction results to obtain the final load prediction value, and compare the prediction results of method in this paper with that of the prediction models such as autoregressive moving average model (ARMA), LS-SVM, BPNN, empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and VMD. …”
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Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning by Jian Li, Jian Lu, Hongkun Fu, Wenlong Zou, Weijian Zhang, Weilin Yu, Yuxuan Feng

“…This study accurately inverts key growth parameters of rice, including Leaf Area Index (LAI), chlorophyll content (SPAD) value, and height, by integrating multisource remote sensing data (including MODIS and ERA5 imagery) and deep learning models. …”
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