Combining and congruence evaluation of phylogenetic signals from different genes based on geometric approach by V. M. Efimov, V. Yu. Kovaleva, Yu. N. Litvinov

“…Geometricness of Euclidean distances allows to apply to molecular data methods of multivariate analysis, which are relevant for intra- and interspecies variability investigating, visualization of possible directions of evolution, combining data and evaluation of the congruence of phylogenetic signals. …”
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SUBDISTRICT CLUSTERING IN WEST JAVA PROVINCE BASED ON DISEASE INCIDENCE OF JKN PARTICIPANTS PRIMARY SERVICES by Husnun Nashir, Anang Kurnia, Anwar Fitrianto

“…The methods that will be compared to get the best clustering are hierarchical clustering and ensemble clustering. The data used as the object of research is the BPJS Kesehatan capitation primary service sample data for the 2017-2018 period. …”
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AHP-MOORA framework for longitudinal evaluation of Pharm.D program learning outcomes: a tool for Saudi pharmacy programs accreditation and curriculum enhancement by Sultan M. Alshahrani

“…A program based on Microsoft Access was created for data administration and visualization.ResultsPLO2 (clinical application) and PLO5 (ethics and professionalism) earned the greatest AHP weights, measuring 0.28 and 0.19, respectively. …”
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Application of digital-intelligent technologies in physical education: a systematic review by Qiying Zhong, Jiajun Jiang, Wenting Bai, Zhihua Yin, Ziyuan Liao, Xiaohui Zhong

“…Following PRISMA guidelines, the review examined application scenarios, technological architectures, educational outcomes, and implementation barriers.ResultsDigital Intelligent technologies (DIT) have been adopted across all stages of PE, forming a closed-loop system that includes (a) intelligent instructional design, (b) real-time process visualization, and (c) data-driven evaluation and feedback. …”
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An Activity of Flavonoid Derived Compounds from Medinilla speciosa Extract as Anti-hyperpigmentation against Tyrosinease Proteins with In Silico Methods by elshinta riantica, Awik Puji Dyah Nurhayati, Noor Nailis Sa’adah

“…The stages in this research include: downloading and preparing receptors and ligands; docking with Autodock Vina; visualization of results with Biovia Discovery Studio; data analysis; and discussion. …”
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EVALUATION OF THE FORMATION AND VORTEX TRACE INFLUENCE OF LIGHT UNMANNED MULTICOPTERS by V. P. Asovsky, A. S. Kuzmenko

“…According to the calculated data the general regularities and features of the vortex trace formation and configuration, distributions of the inductive velocities within the flying area of the light multicopters are formulated in this paper. …”
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A method for pre-determining edges in 3D point clouds using contour detectors in images by D. G. Filipov, S. L. Katsarska-Filipova, P. L. Raeva

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Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

“…The system adopts sensor technology and data acquisition equipment to monitor various types of energy consumption in buildings in real time, efficiently process and predict these data through machine learning algorithms, and finally visualize the results. …”
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Design and Implementation of a PLC-Based SCADA System for Real-Time Monitoring and Control of Photovoltaic Energy Conversion by Ahmed Al-Naib, Majeed Mohammed

“…The PLC, programmed via TIA Portal V17, serves as the central processing unit, acquiring analog signals from PV modules and facilitating data logging, processing, and visualization. Field testing was conducted in Kirkuk City over a 10-hour operational window to monitor key PV parameters, including terminal voltage, load current, output power, temperature, and solar irradiance. …”
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Social Media Listening pada Instagram untuk Kasus Kebakaran Hutan di Indonesia Menggunakan Graph Clustering by Rina Trisminingsih, Riski Adi Kurniawan

“…This research used hashtags from Instagram as the data source and conducted an analysis to understand the social interaction inside of forest fire case. …”
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Mapping Social Capital in Vocational Education and Training: A Multi-Perspective Egocentric Social Network Analysis in a European Innovation Project by Lisa Meyne, Christine Siemer

“…For the visualisation of the network data, the type of structured and standardised network maps was used.  …”
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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…Existing monitoring systems face several challenges, such as data singularity, the poor nighttime monitoring quality of video surveillance, and fragmented visual data. …”
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Analisis Sentimen Kebijakan Penerapan Kurikulum Merdeka Sekolah Dasar dan Sekolah Menengah pada Media Sosial Twitter dengan Menggunakan Metode Word Embedding dan Long Short Term Me... by Alif Rizal Maulana, Satrio Hadi Wijoyo, Yusi Tyroni Mursityo

“…Metode yang digunakan untuk mempersiapkan data adalah word embedding dengan menggunakan layers embedding dari library TensorFlow. …”
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In Vivo Assessment of Deep Vascular Patterns in Murine Colitis Using Optoacoustic Mesoscopic Imaging by Adrian Buehler, Emma L. Brown, Emmanuel Nedoschill, Markus Eckstein, Petra Ludwig, Felix Wachter, Henriette Mandelbaum, Roman Raming, Mariam‐Eleni Oraiopoulou, Lars‐Philip Paulus, Ulrich Rother, Oliver Friedrich, Markus F. Neurath, Joachim Woelfle, Maximilian J. Waldner, Ferdinand Knieling, Sarah E. Bohndiek, Adrian P. Regensburger

“…In order to accelerate the implementation of this technology in translational studies of inflammatory bowel disease, an image‐processing pipeline for TAG‐RSOM data has been developed. Using optoacoustic data from a murine model of chemically‐induced colitis, different image segmentation methods are compared for visualization and quantification of deep vascular patterns in terms of vascular network length and complexity, blood volume, and vessel diameter. …”
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Assessing 3D-modeling techniques based on a combination of positron emission tomography-and computed tomography as a means to detect tumor invasion of the paragastric tissue in gas... by T. V. Khorobrykh, E. V. Poddubskaya, V. G. Agadzhanov, L. M. Tulina, I. V. Ivashov, A. V. Grachalov, M. A. Tsai, Ia. A. Drach, Z. A. Omarova

“…The obtained results were analyzed through visual assessment of CT and PET images separately, as well as through fused scans, followed by 3D reconstruction based on CT DICOM data. …”
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Particularities in differential diagnostics of epileptogenic brain malformations on the low-field MRI-device by V. S. Khalilov, A. A. Kholin, B. R. Bakaeva, M. Yu. Bobylova, Kh. Sh. Gazdieva

“…Simultaneously we review conclusions of epileptologist and the preliminary video-electroencefalographic monitoring data for determination of the optimal imaging protocol for every specific form of epilepsy. …”
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Tourniquet use in total knee arthroplasty and the risk of infection: a meta‐analysis of randomised controlled trials by A. A. Magan, O. Dunseath, P. Armonis, A. Fontalis, B. Kayani, F. S. Haddad

“…The purpose of this systematic review and meta‐analysis is to fill this gap in the literature by synthesising data pertaining to the association between tourniquet use and infection risk in TKA. …”
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Consolidating Back Office with a Shared-Services Center: by Mimoza Bogdanoska Jovanovska, Nataša Blazeska Tabakovska, Dragan Grueski

“…s framework of IT-enabled change with a holistic data-driven approach. Findings: The study indicates a complex information flow between stakeholders, an abundance of the same information and data collected from local stakeholders, and enormous citizen and institutional burden. …”
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Internet of Green Things with autonomous wireless wheel robots against green houses and farms by C Ramasamy Sankar Ram, S Ravimaran, R Santhana Krishnan, E Golden Julie, Y Harold Robinson, Raghvendra Kumar, Le Hoang Son, Pham Huy Thong, Nguyen Quang Thanh, Mahmoud Ismail

“…A cloud-like database server is provided to stock up the data. The integration of robotics with Internet of Green Things gains more advantage in gathering about spatial information data that are connected with the irrigation. …”
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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

“…Using Environmental Sensor Telemetry Data, this study introduces a novel methodology that combines unsupervised and supervised machine learning approaches to detect anomalies and predict sensor failures. …”
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