Perceptual (dis)similarities between colors and emotions: An empirical investigation with the image-based visual corpus analysis approach by Jinmeng Dou, Wenting Xue

“…The results reveal that (i) significant differences exist among the six colors in their effectiveness at capturing affective (dis)similarities among various emotional concepts, as well as in their association strength with the affective domain, and (ii) the valence and arousal ratings of emotion words are significantly correlated to the strength of their associations with five of the six color terms, with the exception of blue. …”
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Short Pharmacogenomic Investigation of COMT rs4680 in Analgesic Needs of Pediatric Patients with Congenital Abnormalities: A Cross-Sectional Study by Kohar Hari Santoso, Anna Surgean Veterini, Retti Kartika Bakti, Khildan Miftahul Firdaus, Bambang Pujo Semedi, Lucky Andriyanto

“…Pain scores were measured using the Wong-Baker Faces Scale and Numeric Rating Scale. Results: Three genotype–phenotype combinations of the COMT rs4680 gene were identified: GG (high activity), AG (intermediate activity), and AA (low activity). …”
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Exploring tomato farmers’ knowledge and adaptation practices to climate change: Insights from Chinsali district, Zambia by Francis Kabwe Mwamba, Lawrencia Taimolo, Shadreck Chinyanta, Joseph Mphande, Enock Siankwilimba, Pharoah Collins Sianangama, Oliver Jolezya Hasimuna

“…While 64.9% of respondents were highly aware of climate change, mainly informed by radio, only 5.5% rated their knowledge as very good. Farmers reported noticeable shifts in temperature and rainfall patterns and relied on measures such as drought-resistant seeds and irrigation systems. …”
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Predictive Modeling of Yoga's Impact on Venous Clinical Severity Scoring Using Gaussian Process Classification and Advanced Optimization Algorithms by Yazdan Ashgevari, Faranak Kazemi

“…The study focuses on individuals diagnosed with VCSS, using machine learning to analyze complex patterns in their clinical severity ratings before and during yoga practice. …”
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Benchmarking Mentorship: Creating and Validating a Quality Scale for ELT Mentors by Ali Kondori, Mitra Zeraatpishe, Hamid Ashraf, Khalil Motallebzadeh

“…The results of the Rasch rating scale model and Cronbach’s alpha indicated that the developed questionnaire had satisfactory validity and reliability indices. …”
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The impact of teaching materials on instructional design and teacher development by Lola Garay Abad, John Hattie

“…Teacher-created materials were rated as most useful (90.1%), and teachers reported high autonomy (94.1%) in selecting and adapting materials — a factor closely tied to increased classroom confidence. …”
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User Preferences of Airbnb Accommodation Spatially in The Special Region of Yogyakarta, Indonesia by Azis Musthofa, Arief Wicaksono, Raden Rijanta

“…Spatially, it shows that Airbnb accommodations in the Jetis and Kraton sub-districts achieve the most favorable ratings for amenities, location, hygiene, host and staff performance, as well as room and toilet conditions. …”
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Consumer preference and food values: can consumers in Tanzania play part in driving a sustainable food system? by Roselyne Alphonce, Yun Yun Gong, Hettie C. Schönfeldt, Lise Korsten

“…A mixed-method approach was employed, including interviews with six key food system actors, two focus group discussions with 16 consumers, and a survey of 750 consumers from urban and rural towns across three regions in Tanzania. Participants rated the importance of 16 food values such as hygiene, nutrition, taste, and price—using the Best-Worst Scaling method. …”
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The other in me: interpersonal multisensory stimulation changes the mental representation of the self. by Ana Tajadura-Jiménez, Stephanie Grehl, Manos Tsakiris

“…Finally, synchronous, as compared to asynchronous, IMS resulted in significant differences in participants' ratings of their experience, but unlike other bodily illusions, positive changes in subjective experience were related to the perceived physical similarity between the two faces, and not to identification.…”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. Key metrics, including accuracy, precision, and F1-score, are employed to assess and benchmark the models. …”
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Multi-omics analysis of Taiwanofungus gaoligongensis: effects of different cultivation methods on secondary metabolites by Tingwen He, Tingwen He, Tingwen He, Xiaolong Yuan, Liangjun Xiao, Tanggeran Hu, Yi Wang, Xiaolei Zhao, Xiaolei Zhao, Xiaolei Zhao, Lu Li, Lu Li, Chengbo Peng, Chengbo Peng, Chengbo Peng, Hongling Zhang, Hongling Zhang, Hongling Zhang, Yuan Zheng, Yuan Zheng, Yuan Zheng, Yuan Zheng

“…In particular, the expression of TgHMGR was markedly higher in NZJB than in XZJB and DM, correlating with the elevated terpenoids and triterpenoids levels, suggesting that TgHMGR may act as a key rate-limiting enzyme in the terpenoid biosynthesis pathway of T. gaoligongensis. …”
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Substrate Temperature Effect on Structural Properties Of Bi2Te3 Thin Films by B.S. Jariwala, D.V. Shah, Vipul Kheraj

“…All deposition conditions like thickness, deposition rate and pressure were maintained throughout the experiment. …”
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Lattice Boltzmann simulation for phase separation with chemical reaction controlled by ultrasound field. by Heping Wang, Ying Lu

“…In this work, the phase separation behavior and pattern formation in binary fluids with chemical reactions controlled by ultrasonic radiation were systematically investigated. …”
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The Effect of Using Simulation Activities on Developing Algerian EFL Students’ Speaking and Listening Proficiency by Karima CHERGUI

“…Crystallising Comprehension, retaining long-term outcomes, and raising the rate of interest have put extra up-to-date demands on EFL teachers. …”
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Intersection passing strategies for human-driven and autonomous vehicles in mixed traffic using DEA. by Jiajun Shen, Zhipeng Zhou, Guanyu Fu, Yu Wang

“…Considering average speed, number of cars, penetration of automated vehicles, queuing pattern, left-turn rate, and number of buses as factors influencing intersection rights-of-way. …”
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A Tunnel Surface Diseases Detection Algorithm Based on YOLOv4 by LI Jia, QIU Xinhua, JI Yuwen

“…In the established surface image data set of high speed railway tunnel, the mAP reaches 65.1%, and the defect detection rate is 90.1%, which verifies the high efficiency of the algorithm.…”
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THE MONETARY POLICY IN COUNTRIES OF CENTRAL AND EASTERN EUROPE IN THE GLOBALIZATION CONTEXT: REGIMES AND TOOLS by M. YU. Golovnin

“…The evolution of monetary policy regimes in the CEE countries corresponds to the “bipolar pattern”. It is shown that countries with the extreme form of the exchange rate fixation demonstrate the best results in quiescent periods and are more affected by crises whereas countries with the inflation targeting regime are characterized by smoothed dynamics of macroeconomic indices. …”
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Increasing population growth by asymmetric segregation of a limiting resource during cell division by Nurit Avraham, Ilya Soifer, Miri Carmi, Naama Barkai

“…Abstract We report that when budding yeast are transferred to low‐metal environment, they adopt a proliferation pattern in which division is restricted to the subpopulation of mother cells which were born in rich conditions, before the shift. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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TUBERCULOSIS IN CHILDREN IN THE RUSSIAN FEDERATION AT THE PRESENT STAGE by A. V. Mordyk, E. A. Tsygankova, L. V. Puzyryova, A. A. Turitsa

“…The literature review presents data on peculiarities of tuberculosis epidemiology, incidence rate and clinical pattern in children in the Russian Federation. …”
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