Genomic regions of current low hybridisation mark long-term barriers to gene flow in scarce swallowtail butterflies. by Sam Ebdon, Dominik R Laetsch, Roger Vila, Stuart J E Baird, Konrad Lohse

“…We first quantify the heterogeneity of effective migration rate under a model of isolation with migration, using genomes sampled across the range to identify long-term barriers to gene flow. …”
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DETERMINATION OF HYDRODYNAMIC CHARACTERISTICS OF A RADIO-CONTROLLED AIRPLANE MODEL WITH AIR CUSHION LANDING GEAR by Yu. Yu. Merzlikin

“…This article presents the results of the hydrodynamic parameters of radio-controlled models (RCM) of the aircraft with the landing gear on an air cushion (REFERENCED) obtained during tests in the water tank of TSAGI NIMC on land- ing modes with varying alignment and pressure in air cushion chassis on calm and disturbed water surfaces.ACLG’s RCM is based on the Froude criterion. The experimental data of the real aircraft Dingo, LMS, An-26, C-130 Hercules (size, weight, thrust) parameters were processed. …”
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Frequency of Episiotomy and Perineal Injury in Home Births and Influencing Factors by Emel Ay, Menekşe Nazlı Aker

“…Multiparity and flexible sacrum positions were associated with a higher rate of perineal integrity, while multiparity was also linked to a higher risk of perineal injury requiring suturing. …”
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Optimizing the strategy of new media content distribution using fuzzy logic by Jianhua Qi, Jing Lin

“…At the same time, the introduction of a reinforcement learning mechanism enables the system to have self-adjustment capabilities and continuously optimize the recommendation results based on real-time data. Experimental results show that the fuzzy logic optimization strategy is significantly better than the traditional method in key performance indicators such as click-through rate (CTR), distribution success rate, and system response time, especially during the user active period, the CTR improvement is particularly obvious. …”
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Impact of primary production and net ecosystem metabolism on carbon and nutrient cycling at the land-sea interface by Louise C. V. Rewrie, Burkard Baschek, Justus E. E. van Beusekom, Arne Körtzinger, Wilhelm Petersen, Rüdiger Röttgers, Yoana G. Voynova

“…Yet, primary production and net ecosystem metabolism (NEM) are variable, and this has implications for nutrient and carbon processing along the land-sea interface. To resolve this variability, high-frequency dissolved oxygen and ancillary biogeochemical data from a research station (FerryBox) located at the outflow of a temperate estuary into a shelf sea, were used to quantify the gross primary production (GPP) and NEM at the land-sea interface. …”
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Control of Reliability of Measurements in Power Systems According to the First Increment and on the Basis of Extrapolating Filters by V. A. Anishchenko, T. V. Pisaruk

“…Control in accordance with the first increments is most effective in cases where the controlled processes are sufficiently inertial and the rate of alteration of variables is relatively small. …”
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Removal of Copper(II) Ions from Aqueous Solutions Using Natural Kaolinite by Xue-Song Wang, Jin Wang, Cheng Sun

“…The dynamics of the adsorption process were also studied and values of the adsorption rate constant and the rate constant for intraparticle diffusion calculated. …”
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An Ontology Proposal for Implementing Digital Twins in Hospitality: The Case of Front-End Services by Moises Segura-Cedres, Desiree Manzano-Farray, Carmen Lidia Aguiar-Castillo, Rafael Perez-Jimenez, Victor Guerra-Yanez

“…Simulations and historical data analysis enable forecasting demand fluctuations and optimizing check-in/check-out processes. …”
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An Identification Method of Polarization Modulation for Ship and Combined Corner Reflector Based on Civil Marine Radar by Di ZHU, Fulai WANG, Chen PANG, Yongzhen LI

“…The study also explores the influence of missing 50% of pitch angle and azimuth angle data in the training set, finding that identification rates in all four cases exceed 85% when the SNR is above 15 dB. …”
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Identity Theft: The Importance of Prosecuting on Behalf of Victims by Christopher S. Kayser, Sinchul Back, Marlon Mike Toro-Alvarez

“…We provide insight into consequences experienced by identity theft victims, particularly if their PII is posted on the Dark Web, a threat that can exist into perpetuity. If rates of victimization from identity theft-based crimes are to decline, reporting of victimization must increase, and current legislation related to investigating and processing identity theft crimes must progress.…”
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Mobile Forensics in Human Trafficking Investigation Services Using Mobile Laboratory by Muammar Muammar, Imam Riadi, Rusydi Umar

“…DF-Tools showed an advantage in identifying multimedia artifacts with a 69.48% data acquisition success rate, compared to Magnet Axiom at 68.57%. …”
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Precision blood pressure prediction leveraging Photoplethysmograph signals using Support Vector Regression by Arjon Turnip, Mohammad Taufik, Dwi Esti Kusumandari

“…These results, which are characterized by a low error rate, indicate that the SVR model is able to predict blood pressure accurately and consistently, both on training data and new data that was previously unseen.…”
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Runoff Infiltration in Urban Green Space and Parameters of Sponge Facilities by Jiang Chunbo, Xu Wenbin, Gao Jiayu, Li Jiake, Liu Kehan, Dang Zhenguo

“…Soil water tension and unsaturated hydraulic conductivity were estimated by HYPROP2 and HYPROP-data evaluation software (HYPROP-DES). [Results] The stable infiltration rate was basically reached the stage of stable infiltration 5—10 min after the start of on-site infiltration, and most of the observed stable infiltration rates were less than 100 mm/h. …”
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Effective Diabetic Retinopathy Classification With Siamese Neural Network: A Strategy for Small Dataset Challenges by Maria Tariq, Vasile Palade, Yingliang Ma

“…However, the automatic detection of diabetic retinopathy through medical image processing requires a large number of training data to build a model with good performance. …”
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Laparoscopic Access in Radical Surgical Treatment of Complicated Gastric Cancer: a Single-Center Experience by S. A. Tarasov, P. A. Yartsev, I. I. Kirsanov, M. M. Rogal, S. O. Aksenova

“…The study included patients diagnosed with gastric cancer complicated by bleeding or gastric outlet/cardioesophageal junction obstruction, over 18 years of age, who signed consent for the processing of personal data and inclusion of their clinical data in the research and underwent surgical treatment. …”
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A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

“…However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data processing, they also face an expanded attack surface and growing cybersecurity threats.MethodsThis paper presents a comprehensive threat modeling and risk assessment approach tailored to smart city environments. …”
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari, M. Murugappan, Javeed Shaikh-Mohammed, Muhammad E. H. Chowdhury

“…Thus, a robust and useful method for improving classification rates is proposed for both small and large datasets.…”
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Lifting COVID-19-associated non-pharmaceutical interventions: potential impact on notifications of infectious diseases transmitted from person to person in 2022 in Bavaria, Germany by Judith Hausmann, Judith Hausmann, Judith Hausmann, Achim Dörre, Katharina Katz, Sarah van de Berg

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Aurel_AI: Automating an Institutional Help Desk Using an LLM Chatbot by Diego Ordóñez-Camacho, Rafael Melgarejo-Heredia, Mohsen Abbasi, Lucía González-Solis

“…However, its current limitations, such as handling concurrent queries and hallucinations, underscore the need for adjustments to both infrastructure and data processing methodology. With strategic improvements, the system has the potential to consolidate itself as a replicable model for multiple university digital services.…”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Particle Swarm Optimization was used for the training phase of a neural net to identify the best weights and biases. On training data, the highest rate of accuracy gained is 0.98.738 and on testing data, it is 98.689.   …”
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