THE IMPACT OF AUTOMATION AND DIGITALIZATION ON THE COMMERCIAL MARKET IN THE REPUBLIC OF MOLDOVA by Lida CUCOȘ

“…The purpose of this study is to analyze the effects of automation and digitization on the commercial sector of the Republic of Moldova, with particular attention to the benefits and challenges associated with technological transformation. …”
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Brain computer interface based emotion recognition with error analysis and challenges: an interdisciplinary review by Niharika Gudikandula, Ravichander Janapati, Rakesh Sengupta, Sridhar Chintala

“…Therefore, emotion recognition through BCIs holds significant promise for various domains, including affective computing, healthcare, and human–computer interaction, with numerous potential applications. Creating precise and reliable emotion recognition systems based on BCIs presents significant challenges due to the multitude of potential error sources that can affect their effectiveness. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…Innovative marketing strategies leverage social media to create engaging content, interact with potential travelers, and build brand loyalty. …”
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Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Optimizing edge weights is more effective in capturing interaction anomalies between nodes, whereas focusing solely on node attributes may overlook subtle irregularities at the relational level. …”
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Analysis of spatiotemporal evolution and driving factors of ecological environment quality in the Ili-Balkhash Lake Basin in Central Asia by Keyu Chen, Jinjie Wang, Zipeng Zhang, Hongzhi Xiao, Jingming Liu

“…The outcome of the study suggests that: (1) The ecological quality of the basin has generally improved, and the proportion of high quality and good areas has risen, but spatial heterogeneity is obvious, and the area around the lake shows a trend of degradation; (2) LST and NDVI were the main natural drivers, and LUI and AWUE were the key human drivers, with significant interactions among the factors; (3) The GWR model further reveals that LST is the main limiting factor of RSEI, and the two are negatively correlated, while there is significant spatial variability in the effects of NDVI, LUI and AWUE on RSEI, with both positive and negative effects. …”
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Transcriptomic profiling of burn patients reveals key lactylation-related genes and their molecular mechanisms by Yang Li, Jizhong Ma, Yeping Wang, Weibin Zhan, Qian Wang

“…Understanding gene expression changes and molecular pathways, especially those related to lactylation, is crucial for developing effective treatments. This study aimed to analyze the transcriptomic profiles of burn patients and identify lactylation-related genes as potential biomarkers or therapeutic targets.MethodsPeripheral blood transcriptome data of burn patients and controls were obtained from the GEO database. …”
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A neighborhood analysis of the consequences of Quercus suber decline for regeneration dynamics in Mediterranean forests. by Beatriz Ibáñez, Lorena Gómez-Aparicio, Peter Stoll, José M Ávila, Ignacio M Pérez-Ramos, Teodoro Marañón

“…Consequently, any alteration in the characteristics of the canopy, such as those promoted by forest dieback, might impact regeneration dynamics. Our work analyzes the interaction between canopy neighbors and seedlings in Mediterranean forests affected by the decline of their dominant species (Quercus suber). …”
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Research on the Diffusion of Green Energy Technological Innovation from the Perspective of International Cooperation by Yan Li, Jun Wu, Xin-Ping Wang

“…This paper constructs an evolutionary game model for the diffusion of green energy technological innovation in a complex network environment, with a focus on analyzing the impacts of key parameters such as policy spillover effects, technological heterogeneity, technical leakage risks, and free-riding risks on the equilibrium outcomes of evolutionary strategies. …”
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Gradient boosting for yield prediction of elite maize hybrid ZhengDan 958. by Oumnia Ennaji, Sfia Baha, Leonardus Vergutz, Achraf El Allali

“…Understanding accurate methods for predicting yields in complex agricultural systems is critical for effective nutrient management and crop growth. Machine learning has proven to be an important tool in this context. …”
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Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System by Shalau Farhad Hussein, Sajjad Golshannavaz, Zhiyi Li

“…It also develops a transactive energy framework in a P2P energy trading market embedded with CESS and analyzes the cost-effectiveness and arbitrage driven by CESS integration. …”
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Evolutionary Game Analysis of Credit Supervision for Practitioners in the Water Conservancy Construction Market from the Perspective of Indirect Supervision by Shijian Du, Song Xue, Quanhua Qu

“…Lastly, under differentiated regulatory strategies, high-credit practitioners respond more strongly to long-term cost optimization, while low-credit practitioners are more effectively deterred by short-term, high-intensity disciplinary actions. …”
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Applying machine learning to decode built environment thresholds for public and active transport distances in the global south by Ali Shkera, Domokos Esztergár-Kiss

“…The current study addresses this gap by analyzing the non-linear effects of BE characteristics on trip distances for both AT and PT in the Mumbai Metropolitan Region. …”
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The tone of teachers’ melody and wellbeing in digital space by Fatemeh Mirzapour, Mehmet Şengül, Samantha Curle, Samantha Curle

“…Negative social well-being included adverse effects on child-family relationships and reduced face-to-face interaction.DiscussionTo develop healthy habit of technology use, teachers should have information regarding the positive and negative impacts of technology on their physical and social well-being.…”
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Transformations Of the Actor's Performance in The Political Theater by Abdulhakeem Jasim Shamkhi

“…Political theater offers a unique window into the interaction between art and political reality، as it allows the audience to understand complex issues more deeply and analyze them through an artistic vision. …”
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Strategy of National and Economic Security by D. M. Zhuravlev, V. K. Chaadaev

“…In order to minimize negative factors, it is proposed to develop a long-term strategy for the rapid development of the national economy with a clear formalization of specific final goals (measurable and achievable) using, as a tool for developing an effective system of interactions, digital twins of control objects. …”
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Transforming Learning: The Role of School-Related Factors in Student Achievement by Abigail Oluyemisi Fadere, Olaolu Paul Akinnubi, Clement Aliu Ogbaini

“…These findings suggest that the interaction between these various factors overall affects students' academic achievement. …”
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Comparative analysis of heat transfer dynamics in high-intensity focused ultrasound and microwave ablation for cancer treatment by Teerapot Wessapan, Pornthip Keangin, Phadungsak Rattanadecho, Nisakorn Somsuk

“…Utilizing advanced numerical simulations based on porous media theory, we modeled acoustic and electromagnetic wave propagation and their subsequent interactions with biological tissues. This approach enabled us to accurately depict and analyze the temperature distributions and fluid dynamics during treatment scenarios. …”
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A four-wave longitudinal study on attitudes toward the use of AI in different domains—The self-determination theory and locus of control perspective by Anica Cvetkovic, Iina Savolainen, Mayu Koike, Atte Oksanen

“…Technological relatedness revealed both between-person effects (differences among individuals) and within-person effects (differences over time). …”
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National Cybersecurity in the Context of Society Digitalization: the Role of Police in Protecting Critical Infrastructure by V. M. Vasylenko

“…The purpose of the research is to identify current approaches to shaping an effective model of police interaction in ensuring national cybersecurity and to explore legal, organizational, and practical aspects of police engagement in protecting critical infrastructure. …”
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Spatial Evolution and Driving Mechanisms of Vegetation Cover in China’s Greater Khingan Mountains Based on Explainable Geospatial Machine Learning by Zihao Wang, Bing Wang, Qiuliang Zhang, Changwei Lü

“…The key findings reveal that (1) from 2001 to 2022, FVC showed an increasing trend, confirming the effectiveness of ecological restoration. (2) The XGeoML model successfully revealed nonlinear relationships and threshold effects between driving factors and FVC. …”
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