Where there’s smoke there is fire: Türkiye and the international illegal wildlife trade by Özgün Emre Can

“…By guiding policymakers, conservationists, and authorities, the study fosters international cooperation, optimal resource use, and endangered species protection. International wildlife trafficking can occur when detection and law enforcement measures fail in both the countries of origin and destination, and, where relevant, in transit countries, showing the necessity for governments worldwide to make the international illegal wildlife trade a priority.…”
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Practical Implementation of a Smart Home Model Using Arduino and Sensors by Soufiane Hachani, Okba Benelmir

“…Controlling outdoor lighting based on ambient light intensity detected by a light sensor. Activating a security alarm by touch detection using a touch sensor. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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Six-Month Treatment Outcomes of Vital Pulp Therapy in Adults Using Biomaterials: A Prospective Cohort Pilot Study by Melinda Polyák, Eszter Ágnes Szalai, Péter Komora, János Vág

“…Sample size calculations suggested 140 participants would be needed to detect a significant effect of pulp condition. Both materials were effective, though MTA+ showed higher success based on the strict success criteria. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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Anticipatory reaching motor behavior characterizes patients within the Alzheimer’s disease continuum in a virtual reality environment by Alessia de Nobile, Ilaria Borghi, Paolo De Pasquale, Denise Jennifer Berger, Antonella Maselli, Francesco Di Lorenzo, Elena Savastano, Martina Assogna, Andrea Casarotto, Daniele Bibbo, Silvia Conforto, Francesco Lacquaniti, Giacomo Koch, Andrea d’Avella, Marta Russo

“…Results Both AD and MCI patients showed more anticipatory responses than healthy controls (HC), inversely related to success rates and cognitive function. AD patients exhibited lower success rates and a higher frequency of anticipatory responses, often biased toward previous trial targets, suggesting impaired motor planning or difficulty adapting to new cues. …”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

“…We propose to incorporate auxiliary loss functions derived from high-level vision tasks, including text detection using the connectionist text proposal network (CTPN), text recognition via a convolutional recurrent neural network (CRNN), keypoints localization using Key.Net, and hue consistency. …”
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Probing Cosmic Isotropy with the FAST All Sky H i Survey by Yi-Wen Wu, Jun-Qing Xia

“…We do not detect any statistically significant deviations from cosmic isotropy in the FASHI survey data.…”
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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Out of 11 selected CNVRs with predicted gain, loss, or gain–loss statuses, 8 (IDs 68, 156, 201, 284, 307, 352, 411, 601) were successfully confirmed. This study marks a significant step forward in mapping CNVs in the ovine genome and offers a valuable resource for future research on genetic variation in sheep.…”
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How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

“…Knowing the exact modeled tracer emission sources in WRF-Chem enables a precise quantification of the source detection accuracy. …”
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Microfluidic Sensors Integrated with Smartphones for Applications in Forensics, Agriculture, and Environmental Monitoring by Tadsakamon Loima, Jeong-Yeol Yoon, Kattika Kaarj

“…In environmental monitoring, these sensors allow the timely detection of pollutants in air, water, and soil, enabling quicker responses to hazards. …”
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Sequence analysis of tyrosine recombinases allows annotation of mobile genetic elements in prokaryotic genomes by Georgy Smyshlyaev, Alex Bateman, Orsolya Barabas

“…Tyrosine recombinase (YR) proteins drive MGE mobilization and could provide markers for MGE detection, but they constitute a diverse family also involved in housekeeping functions. …”
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Representation Enhancement-Based Proximal Policy Optimization for UAV Path Planning and Obstacle Avoidance by Xiangxiang Huang, Wei Wang, Zhaokang Ji, Bin Cheng

“…In addition, three step-wise reward functions are formulated to avoid sparsity and facilitate model convergence. …”
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SOCIOPROFESSIONAL HUMOR AT THE ENGLISH LANGUAGE LESSONS by Oleg Kharchenko

“…From a pragmatic point of view, jokes fulfill the functions of critical thinking, entertainment, acquaintance with the peculiarities of professions, professional and informal vocabulary, detection of humor and irony, relief of psychological stress, motivation for success, creativity, professional confidence, creation of stereotypical images of English-speaking journalists and editors. …”
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Cost-Effective Photoacoustic Imaging Using High-Power Light-Emitting Diodes Driven by an Avalanche Oscillator by Alberto Prud’homme, Frederic Nabki

“…The system incorporates an LED array, an ultrasonic transducer, and an amplifier for signal detection. Key findings include the successful generation of short light pulses with sufficient intensity to excite materials and the system’s capability to produce detectable photoacoustic signals in both air and water environments. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…This framework holds transformative potential for pediatric endocrinology and orthopedics by standardizing BAA, improving diagnostic equity, and optimizing resource use. Success hinges on addressing technical, ethical, and adoption challenges through collaborative efforts among developers, clinicians, and regulators. …”
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Development and characterization of a new TILLING population of common bread wheat (Triticum aestivum L.). by Liang Chen, Linzhou Huang, Donghong Min, Andy Phillips, Shiqiang Wang, Pippa J Madgwick, Martin A J Parry, Yin-Gang Hu

“…The results indicate that this mutant population represents a useful resource for the wheat research community. We hope that the use of this reverse genetics resource will provide novel allelic diversity for wheat improvement and functional genomics.…”
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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…Notably, case studies demonstrated a 30% boost in entity recognition accuracy in clinical notes and a 90% detection rate for malignancies in medical imaging. …”
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Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring by Nikolaos Voulgaris, Hikari Nishimura, Shingo Tamaki, Sachie Kusaka, Isao Murata

“…This was accomplished by calculating the detection efficiency and energy resolution through experimental measurements using standard gamma-ray sources and simulations using MCNP5. …”
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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…【Results】By comparing conventional peak detection and decision tree classification methods at different signal-to-noise ratios and comparing the classification accuracy of different sequence periods, the simulation results show that the spread code identification and classification method optimized by SSA with XGBOOST after preprocessing has a higher classification and identification success rate than conventional machine learning and peak detection methods. …”
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