Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

“…With identical hyperparameters including a learning rate of 0.001, a batch size of 64 and training for 100 epochs using the Adam optimizer, ReLU, ELU, Leaky ReLU and Swish activation functions were compared. …”
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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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Residential Location Preferences in a Post-Conflict Context: An Agent-Based Modeling Approach to Assess High-Demand Areas in Kabul New City, Afghanistan by Vineet Chaturvedi, Walter Timo de Vries

“…The model simulates three alternative growth rate scenarios, i.e., ambitious, moderate, and steady. …”
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Initial Stages of Electrocrystallization of Coatings with Tin and Tin-Copper and Tin-Copper-Ultradisperse Diamond Alloys by I. I. Kuzmar, D. Y. Gulpa, L. K. Kushner

“…With an increase in electrocrystallization over-voltage, the rate of nucleation increases and their size decreases, while fine-grained and dense deposits are formed. …”
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Using Eye Tracking to Assess Reading Performance in Patients with Glaucoma: A Within-Person Study by Nicholas D. Smith, Fiona C. Glen, Vera M. Mönter, David P. Crabb

“…Patients with a more pronounced effect of longer reading duration on their worse eye made a larger proportion of “regressions” (backward saccades) and “unknown” EMs (not adhering to expected reading patterns) when reading with the worse eye when compared to the better eye. …”
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User Perception and Acceptance of Central Bank Digital Currency in Developed and Developing Countries: An Empirical Study using Technology Acceptance Model.

“…It also identifies new factors influencing human behavior patterns in the digital economy, such as perceived usefulness, perceived ease of use, perceived security, perceived trust, perceived privacy, perceived social influence, and perceived compatibility. …”
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Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI by Luca Glawion, Julius Polz, Harald Kunstmann, Benjamin Fersch, Christian Chwala

“…SpateGAN-ERA5 enhances ERA5 precipitation data from 24 km and 1 h to 2 km and 10 min, delivering high-resolution rainfall fields with realistic spatio-temporal patterns and accurate rain rate distribution, including extremes. …”
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ENHANCING 〖PM〗_(2.5) PREDICTION IN KEMAYORAN DISTRICT, DKI JAKARTA USING DEEP BILSTM METHOD by Nabila Karin, Gumgum Darmawan, Triyani Hendrawati

“…Traditional forecasting methods like ARIMA have limitations in handling non-linear and complex patterns. Therefore, an accurate machine learning method is needed to improve forecasting performance. …”
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The impact of COVID-19 on clinical research for Neglected Tropical Diseases (NTDs): A case study of bubonic plague. by Tsinjo Fehizoro Rasoanaivo, Josephine Bourner, Ravaka Niaina Randriamparany, Théodora Mayouya Gamana, Voahangy Andrianaivoarimanana, Mily Harijaona Raherivelo, Harivelo Randriamampionona, Minoarisoa Rajerison, Mihaja Raberahona, Alex Paddy Salam, Tansy Edwards, Piero L Olliaro, Rindra Vatosoa Randremanana

“…<h4>Methods</h4>To understand the impact of the COVID-19 pandemic on the trial accrual rate, we documented changes in patterns of all-cause consultations that took place before and during the pandemic at health centres in two districts of the Amoron'I Mania region of Madagascar where the trial is underway. …”
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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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Melanoma Skin Lesion Classification Using Neural Networks: A systematic review by ahmed hammo, Mohammed Younis

“…Given neural networks' evolutionary patterns, updated, changed, and integrated networks are expected to increase the performance of such systems. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. Leveraging deep learning models, it becomes feasible to detect and forecast the early stages of numerous diseases based on individual health conditions. …”
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Finding the Context of High‐Risk Behavioral Factors and the Effectiveness of Addiction Treatment Centers in Preventing the Transmission of Hepatitis C Virus Among Injecting Drug Ad... by Neda Asadi, Sirous Pourkhajoei

“…The studied IDUs reported minor rate of risky injecting and sexual behavior after participation in MMT program. …”
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Investigating the Photocatalytic Behavior of Manganese-Zinc Ferrite and the Effect of Its Concentration on the Degradation of Methylene Blue in the Presence of Visible Light by S. Shahedi, S. Hasani, Z. Daneshfar, A.R. Mashreghi, Z. Zoghaghi

“…The results demonstrated that the presence of these nanoparticles significantly affected the degradation rate of methylene blue. Ultimately, the findings indicated that the addition of 0.1 g/lit of these nanoparticles yielded the most effective results, achieving approximately 87.25% degradation in 12 h.…”
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A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

“…However, the false positive rate is high due to the varying nature of speech and environmental factors such as background noise. …”
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Children’s Drawing and Graphic Development: An Empirical Study of the Developmental Stages According to Lowenfeld by Paula Gil-Ruiz, Victoria Martinez-Verez, William Ospina Toro, Walter Castañeda Marulanda

“…This study analyzed the validity of Viktor Lowenfeld’s developmental model in children aged 3 to 5 years, assessing whether the stages proposed by the author correspond to the patterns of graphic representation currently observed. …”
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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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Examination of an iPSC model of human eye development reveals progressive emergence of critical embryonic cell types by Maria R. Replogle, Xiaolong Ma, Chien-Wei Lin, Elena V. Semina

“…Cluster-specific interrogation of eye disease-associated genes demonstrated dynamic temporal patterns and enrichment in relevant developing cell types. …”
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Population structure and density of a new invasive species Rangia cuneata in the Szczecin Lagoon (Odra/Oder estuary, Poland) by Przemysław Czerniejewski, Jarosław Dąbrowski, Adam Brysiewicz, Krzysztof Formicki

“…Given the R. cuneata’s invasive potential and its fast rate of colonization of new areas, it would be prudent to monitor this population and the species migration patterns across the estuary waters of the western Baltic.…”
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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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