Decision vector model in predicting social behavior (on the example of the secondary analysis of the pre-election surveys) by N. S. Babich, S. M. Kharun

“…Three decision vector models were derived to adjust the forecast by changing conversion rates for different answers. To find optimal coefficients for the respondent’s probability of coming to the polls, questions about turnout were used: the identical meaning of questions allowed to reduce their scales to one dimension - a dichotomy of “will go/won’t go to the polls”. …”
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Watermark and Trademark Prompts Boost Video Action Recognition in Visual-Language Models by Longbin Jin, Hyuntaek Jung, Hyo Jin Jon, Eun Yi Kim

“…Additionally, our visual-only prompting method demonstrates competitive performance compared with existing fine-tuning and adaptation methods while requiring fewer learnable parameters. Moreover, through extensive ablation studies, we find the optimal balance between imperceptibility and adaptability. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…It can be either in images or in videos. Finding a correct pattern is a challenging task. AD is crucial for various applications, including network security, fraud detection, predictive maintenance, fault diagnosis, and industrial and healthcare monitoring. …”
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Vertically Recurrent Neural Networks for Sub‐Grid Parameterization by P. Ukkonen, M. Chantry

“…But can radiation emulators provide both high accuracy and a speed‐up? We find optimized, state‐of‐the‐art radiation code on CPU generally faster than RNN‐based emulators on GPU, although the latter can be more energy efficient. …”
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Development and Application of a Cost–Effective Analytical Method for Hydrofluorocarbons Using Preconcentrator–Gas Chromatograph–Mass Spectrometer by Yujiro Ichikawa, Yukiko Ono, Kouki Sasaka

“…Observations of HFCs globally were performed using expensive GHG–specific equipment installed at AGAGE and other sites, but many research institutions find it difficult to install such equipment. Therefore, we successfully developed a measurement method for six components of HFCs (HFC–23, HFC–32, HFC–125, HFC–134a, HFC–143a, and HFC–152a) with high atmospheric concentrations in various parts of the world by optimizing measurement parameters such as the sample transfer volume and rate, module cooling temperatures, the injection time, the GC oven temperature program, and the monitored ions of a commercially available preconcentrator–GC–MS. …”
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Efficient Spectral Compression of Wavelength-Shifting Soliton and Its Application in Integratable All-Optical Quantization by Chao Mei, Jinhui Yuan, Feng Li, Binbin Yan, Xinzhu Sang, Qiang Wu, Xian Zhou, Kuiru Wang, Chongxiu Yu, Gerald Farrell

“…After calculating the dispersion of Kerr nonlinearity and Raman spectrum for three kinds of chalcogenide materials, Ge_11.5As₂₄Se_64.5 is chosen as the material for designing the chalcogenide strip waveguide (CSW). The geometric parameters of CSW are optimized to obtain the desired GVD and Kerr nonlinearity. …”
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Real-Time Sensor for Measuring the Surface Temperature of Thermal Protection Structures Based on the Full-Time Domain Temperature Inversion Method by Yuhao Liu, Xiong Zhao, Xiangyu Wei, Pengyu Nan, Fan Zhou, Guoguo Xin, Kok-Sing Lim, Yupeng Zhang, Hangzhou Yang

“…The mean relative error of the inversion temperature decreases exponentially as the window size increases, and the optimal window duration is equal to the thermal hysteresis time. …”
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Sustainable Heat Generation in Flow from a Molecular Solar Thermal Energy Storage System by Lucien Magson, Dario Maggiolo, Angela Sasic Kalagasidis, Stefan Henninger, Gunther Munz, Markus Knäbbeler‐Buß, Helen Hölzel, Kasper Moth‐Poulsen, Ignacio Funes‐Ardoiz, Diego Sampedro

“…The catalysts are fully characterized using a variety of structural, surface, and spectroscopic techniques. Parameters to optimize catalytic conversion and heat release in flow conditions are explored including particle size and packing behavior, flow rates, and molecular residence times. …”
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Research on Deformation Mechanisms and Control Technology for Floor Heave in Deep Dynamic Pressure Roadway by Haojie Xue, Chong Zhang, Yubing Huang, Ancheng Wang, Jie Wang, Kuoxing Li, Jiantao Zhang

“…Under the condition of high-intensity mining, the floor will deteriorate gradually, forming a wide range of floor heave areas. (3) Based on the deformation and damage mechanism of the roadway floor, a synergistic control method of “roof cutting and pressure relief + floor anchor injection” is proposed and various technical parameters are designed. An optimized design scheme is designed for the control of floor heave in Buertai coal mine.…”
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The impact of PCR duplication on RNAseq data generated using NovaSeq 6000, NovaSeq X, AVITI, and G4 sequencers by Natalia Zajac, Ioannis S. Vlachos, Sija Sajibu, Lennart Opitz, Shuoshuo Wang, Sridar V. Chittur, Christopher E. Mason, Kevin L. Knudtson, John M. Ashton, Hubert Rehrauer, Catharine Aquino

“…Abstract Background Transcriptome sequencing (RNA-seq) is a powerful technology for gene expression profiling. Selection of optimal parameters for cDNA library generation is crucial for acquisition of high-quality data. …”
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Evaluation of the effectiveness of allogeneic tendon graft sterilization with supercritical carbon dioxide by A. A. Budaev, N. V. Borovkova, A. M. Fayn, A. Yu. Nikolaev, M. S. Makarov, M. V. Storozheva, K. I. Skuratovskaya, A. Yu. Vaza, I. V. Fomicheva, T. V. Chernen'kaya, A. А. Kanibolotskiy

“…One could conclude effectiveness of techniques, combining tendon conservation at low temperatures and sterilization with the supercritical carbon dioxide.Aim of work: to find optimal conditions for allogeneic tendon grafts sterilization with supercritical carbon dioxide.Materials and methods. …”
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Research on nitrogen transformation pathways of a thermophilic heterotrophic nitrifying bacterial consortium GW7 by Yongqi Ma, Jiali Wang, Yindi Zhang, Wenping Guan, Wenrui Qi, Xisheng Tai, Dong Lin, Rong He, Likun Sun, Aiwen Zhang

“…The bacterial consortium was cultured under varying conditions to determine optimal cultivation parameters. Response surface methodology (RSM) experiments were conducted to find the best conditions for ammonia and nitrate nitrogen utilization. …”
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Formation of a heterogeneous group of UAVS with a reasonable number of false and real drones by Volodymyr Prymirenko, Andrii Demianiuk, Roman Shevtsov, Serhii Bazilo, Andrey Pilipenko, Mykola Vovchanskyi

“…A mathematical model for determining the optimal composition of false and real drones (UAVs) as parts of a heterogeneous group of UAVs has been developed, which will allow to fulfill the task of defeating enemy targets with the desired degree of reliability. …”
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Hypoxic Conditioning in Rehabilitation and Secondary Prevention Programs in Cardiac Patients with Multimorbidity: a Review by Nadezhda P. Lyamina, Galina K. Spirina, Oleg S. Glazachev

“…Most of the analyzed studies proved that the hypoxic conditioning technology in passive interval exposure regimes is an effective method for non-pharmacological correction of cardiometabolic risks in cardiac patients with multimorbid pathology and can increase exercise tolerance, optimize hemodynamic parameters (HR, SBP and DBP), reduce the manifestations of bronchial obstruction and respiratory failure, and improve cognitive function and metabolic indicators. …”
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Is the FIFA 11+ Warm-Up Effective for Inducing Acute Knee Adaptations in Recreational Soccer Players? by Patricia Caudet, Ernest Baiget, Abraham Batalla, Joshua Colomar, Miguel Crespo, Rafael Martínez-Gallego, Francisco Corbi

“…Other warm-up designs may be more appropriate for finding these effects.…”
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Enhanced Adsorption of Selenium Ions from Aqueous Solution Using Iron Oxide Impregnated Carbon Nanotubes by Omer Y. Bakather, Ahmad Kayvani Fard, Ihsanullah, Majeda Khraisheh, Mustafa S. Nasser, Muataz Ali Atieh

“…The original and modified CNTs with different loadings of Fe2O3 nanoparticles were characterized using high resolution transmission electron microscopy (HRTEM), scanning electron microscopy (SEM), X-ray diffractometer (XRD), Brunauer, Emmett, and Teller (BET) surface area analyzer, thermogravimetric analysis (TGA), zeta potential, and energy dispersive X-ray spectroscopy (EDS). The adsorption parameters of the selenium ions from water using raw CNTs and iron oxide impregnated carbon nanotubes (CNT-Fe2O3) were optimized. …”
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Green synthesis of hyaluronic acid‐silver nanoparticles using microalgae extracts, with evaluation of antimicrobial activity by Nur Imanina Abdullah Thaidi, Muhammad Azmirul Yusuf, Zahir Haizat Muhamad Zamani, Joo Shun Tan, Ahmad Badruddin Ghazali, Rosfarizan Mohamad, Helmi Wasoh, Murni Halim

“…., resulting in HA‐AgNP nanocomposites. The experimental parameters, including pH, extract concentration, temperature and synthesis time, were optimized for the preparation of the HA‐AgNPs nanocomposites. …”
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Possible complications associated with the use of cyanoacrylate obliteration in patients with varicose veins by B. V. Boldin, V. Yu. Bogachev, S. V. Rodionov, P. Yu. Turkin, A. A. Slesareva, P. Yu. Golosnitskiy, I. M. Dizengof, G. A. Varich

“…According to many researchers, the main parameters for choosing the optimal surgical technique should be low invasiveness, compliance with the anatomical, including ultrasound, picture, the possibility of using local anesthesia, taking into account concomitant pathology and individual intolerance of various drugs by patients, effectiveness of venous vessel obliteration, and minimal risk of possible complications. …”
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Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data by YANG Qiuyu, KUANG Shusen, ZHENG Xiaogang, YE Guoqi, ZHANG Zhongxin

“…Finally, the least square support vector machine (LSSVM) load forecasting model is established, and the improved mayfly algorithm with nonlinear inertia factor and polynomial variation is used to optimize the model parameters to achieve accurate load forecasts. …”
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Conditions for Accretion Favoring an Unmelted Callisto and a Differentiated Ganymede by Yannis Bennacer, Olivier Mousis, Marc Monnereau, Vincent Hue, Antoine Schneeberger

“…We investigate crucial accretion parameters, such as the timing of accretion onset, the duration of accretion, and the impactor size distribution. …”
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