Increasing the innovative potential of the human capital in the regions of the South of Russia by F. A. Mambetova, T. Kh. Sozaeva, S. Kh. Sulumov, R. V. Khuriev

“…Conclusions and Relevance: for the regions of the South of Russia, which today are characterized by low rates of economic development, the most important task is to improve the efficiency of human potential management. Increasing the innovative potential of human capital, including through the use of appropriate methods and tools aimed at training specialists with innovative competencies in demand, will allow these regions to stabilize the socio-economic situation and embark on the path of sustainable development.…”
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Optimal Control of a Harmonic Oscillator with Parametric Excitation by Dmitrii Kamzolkin, Victor Ilyutko, Vladimir Ternovski

“…The primary objective is to determine the minimal time required to transition the system from an initial state, defined by a given position and velocity, to a specified final state, while ensuring that the frequency remains within prescribed bounds. …”
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Assessment of Sustainable Ethanolamine-Based Protic Ionic Liquids with Varied Carboxylic Acid Chains as Corrosion Inhibitors for Carbon Steel in Saline Environments by Caio Victor Pereira Pascoal, Lucas Renan Rocha Da Silva, Mauro Andres Cerra Florez, Thiago Roberto Felisardo Cavalcante, Julian Arnaldo Avila, Francisco Carlos Carneiro Soares Salomão, Eduardo Bedê Barros, Francisco Avelino, Diego Lomonaco, Regiane Silva Pinheiro, Hosiberto de Sant’Ana, Mohammad Rezayat, Antonio Mateo, Gemma Fargas, Walney Silva Araújo

“…The inhibition efficiency was observed to be proportional to the inhibitor’s concentration. …”
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Photosynthetic characteristics of Paris polyphylla var. chinensis in response to different light intensities and soil water contents by Yaling Zhang, Yaling Zhang, Rong Xu, Rong Xu, Rong Xu, Zhaozhao Wang, Juan Zhang, Xinghao Tang, Yu Chen, Xiao-Li Yan, Lu-Ping Qu, Lu-Ping Qu

“…It is imperative to study the photochemical processes of P. polyphylla in order to determine the optimal levels of shading and moisture management for its cultivation in artificial environments.MethodsIn this study, six shading levels (no shading, 30%, 50%, 70%, 80% and 90% shading) and three soil water contents (20%, 40% and 60% of the soil water saturation capacity) were established to determine the appropriate shade intensity and soil moisture content for the growth of P. polyphylla.ResultsThe results showed that only the low shade groups (no shade and 30% shade) showed irreversible damage to the daily photosynthetic dynamics of the plant over the course of a day. …”
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Involvement in Parasocial Relationships among Middle-Aged Women by A.M. Molokostova, M.N. Kosmacheva

“…Duhnovsky (SOMO) [3]. Determination of the subjective feeling of loneliness was carried out using the methodology of D. …”
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Simulation of the effect of climate change on phenology and yield of dryland wheat in Kurdistan province by Fateme Aghamir, Saeid Soufizadeh, Ahmad Soheili

“…By using modeling knowledge in selecting the appropriate plant and cultivar for a region, determining the optimal plant characteristics, determining the best crop management, predicting the effect of diversity and climate change on crop growth and yield, and estimating potential yield in a low cost, fast and accurate way can be Adverse climate change on agriculture with negative mitigation options. …”
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The Effect of Deficit Irrigation on Yield and Its Related Traits in Promising Chiti Bean (Phaseolus vulgaris L.) Genotypes under Zanjan Province Climatic Condition by Seyedeh Soudabeh Shobeiri, Ali Akbar Asadi

“…Combined variance analysis and mean comparisons were performed and simple correlation coefficients between traits and stepwise regression analysis of traits affecting grain yield in both irrigation conditions were calculated. …”
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Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration by Aditya Pai H, Kritika Kumari Mishra, Mahesh T R, J V Muruga Lal Jeyan, Anu Sayal

“…Empirical outcomes prove a considerable improvement over traditional forecasting models, which reach a Mean Squared Error (MSE) of 0.02063 and a Root Mean Squared Error (RMSE) of 0.14363, a Mean Absolute Error (MAE) of 0.107, a Mean Absolute Percentage Error (MAPE) of 0.155, and a Coefficient of Determination (R²) of 0.724. This work uniquely combines Self-Supervised Learning (SSL) with multivariate LSTM models, significantly improving feature extraction and alleviating limitations witnessed in current hybrid models, most notably with respect to handling intricate temporal dependencies and mitigating computational overhead within resource-limited settings.…”
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Developing and Validating Monosyllabic Speech Materials with Psychometric Homogeneity for Young Adult Turkish-Azeri Speakers in Iran and Compiling the Equivalent Word Lists by Amirreza Karami, Nariman Rahbar, Behrooz Mahmoodi-Bakhtiari, Seyyed Jalal Sameni, Nayiere Mansouri

“…Also, test-retest reliability with a two-week interval with Pearson correlation coefficients of the lists were 0.94, 0.97, 0.97, and 0.96, respectively. …”
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The Use of Catheter Mount Will Result in More Reliable Carbon Dioxide Monitoring under Fluid Exposing Conditions by Yongil Cho, Wonhee Kim, Tae Ho Lim, Hyuk Joong Choi, Jaehoon Oh, Bossng Kang, Youjin Kim, In Young Kim

“…Methods. In 25 healthy adults, a prospective, open label, crossover study was conducted to examine the effect of DCCM in mainstream and microstream capnometers under water exposing conditions. …”
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Research on time series prediction model for multi-factor environmental parameters in facilities based on LSTM-AT-DP model by Longwei Liang, Longwei Liang, Hui Shi, Hui Shi, Zhaoyuan Wang, Shengjie Wang, Changhong Li, Ming Diao

“…The model architecture employs: (1) a Data Preprocessing (DP) module combining Wavelet Threshold Denoising (WTD) for noise elimination and Sliding Window (SW) technique for feature matrix construction; (2) an LSTM core for deep temporal modeling; and (3) an Attention Mechanism (AT) for dynamic feature weighting to enhance critical temporal feature extraction.ResultsIn 24-hour prediction tests, the model achieved determination coefficients (R²) of 0.9602 (temperature), 0.9529 (humidity), and 0.9839 (radiation), representing improvements of 3.89%, 5.53%, and 2.84% respectively over baseline LSTM models. …”
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MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…Comparative analyzes with established hybrid forecasting approaches, such as Genetic Algorithm-NN, Simulated Annealing-NN, and Differential Evolution-NN, demonstrate the superior performance of the proposed PSO-NN model, achieving notably low prediction errors (MSE: <inline-formula> <tex-math notation="LaTeX">$1.1941 \times 10^{-7}$ </tex-math></inline-formula>), MAPE: 0.0016 and a high coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>: 0.99999). …”
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Discordance of HER2 between primary tumors and lymph node metastatic lesions in invasive breast cancer by Noviana Nugrohowati, Sumadi Lukman Anwar, Juwaryani Juwaryani, Firda Ridhayani

“…Methods A cross-sectional study was conducted involving 30 invasive breast cancer patients. …”
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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery by Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng

“…The average Dice similarity coefficient in these comparisons was 71.8%. Conclusions The proposed segmentation algorithm achieved results on par with conventional manual calculations in determining the volume of RICs, which were shown to peak at the end of the first year after SRS and then gradually decrease. …”
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Study on the Relationship Between Species Richness and Morphological Diversity of Higher Categories in Scarabaeoidea by Yumeng Qiao, Yijie Tong, Zhehao Tian, Ning Liu, Ming Bai

“…Evolutionary biology faces the important challenge of determining how to interpret the relationship between selection pressures and evolutionary radiation of species. …”
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Validation and Comparison of DEBQ and TEMS in Assessing Eating Behaviours in the Romanian Adult Population by Ana Maria Gal, Oana Dumitrascu, Andreea Gherasim, Otilia Nita, Alina Delia Popa, Laura Mihalache, Lidia Iuliana Arhire

“…Methods: We tested (with the consent of the authors of the original questionnaires) the psychometric properties of the Romanian versions of DEBQ and TEMS on an adult general population and explored associations of eating behaviour with weight status with both questionnaires. …”
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The Relationship between Attention and Balance in Children with Cerebral Palsy: A Comparative Preliminary Study in Diplegia and Hemiplegia by mahrokh ghahari, Aliyeh Daryabor, mino kalantari, ashkan irani, zahra Shafiee

“…Spearman's correlation coefficient was calculated to determine the relationship between attention and balance, with a significance threshold of α=0.05. …”
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Relationship Between Craniovertebral Angle and Upper Trapezius Muscle Stiffness and Tone in Office Workers by Yoon-ji Lee, Sung-hoon Jung, Jun-hee Kim, Oh-yun Kwon

“…Pearson’s correlation coefficient was used to investigate the relationship between CVA and stiffness and tone of the UT muscle. …”

The development of open bite in patients with adenoid hypertrophy: clinical and radiological examination by M. E. Makarova, Z. S. Khabadze, Yu. A. Generalova, A. A. Kulikova, F. V. Badalov, M. Yu. Dashtieva, A. Yu. Umarov

“…To study the prevalence of adenoid hypertrophy in children aged 7 to 9 years with anterior open bite, paying special attention to the characteristics of the factors determining the development of this malocclusion.MATERIALS AND METHODS. 60 children aged 7 to 9 years with an orthodontic diagnosis of anterior open bite were included in the study. …”
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Test–Retest Reliability and Concurrent Validity of Photoplethysmography Finger Sensor to Collect Measures of Heart Rate Variability by Donald W. Rogers, Andreas T. Himariotis, Thomas J. Sherriff, Quentin J. Proulx, Megan T. Duong, Sabrina E. Noel, David J. Cornell

“…Additionally, similar standard errors of the mean, coefficient of variation, and minimal detectable change metrics were observed across all devices. …”
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