New insights on poly(cis-1,4-isoprene) rubber degradation through enzymatic kinetics and process improvement by Camila Guajardo-Flores, Camila Guajardo-Flores, Josefa Rojas, Yvan Baldera-Moreno, Francisco Adasme-Carreño, Francisco Adasme-Carreño, Daisuke Kasai, Rodrigo Andler

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Ideal Parameter Estimation of Photocatalysis Process to Boost Amoxicillin Degradation Efficiency Using Marine Predators Optimization Algorithm by Mohamed K. Hassan, Daniel T. Cotfas, Hegazy Rezk, H. Youssef, Ahmed S. Shehata, Alaa A. El-Bary

“…Firstly, based on the experimental dataset of ADE in terms of pH value, catalyst dosages, and reaction time, a robust fuzzy model is produced to model the photocatalysis/ozonation process. The target is reducing the root mean square error (RMSE) between the actual data and the experimental dataset. …”
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Digital twin-driven design and testing of laser shock processed aluminum-graphene composites for spacecraft docking tribology. by Hosamane Guruswamy Prashantha Kumar, Praveen Kumar Kanti, Dinesh Dishana, Pratik Shukla, Prabhu Paramasivam, Leliso Hobicho Dabelo

“…The treatment of LSP raised the Vickers hardness levels of the composite by 28% above the untreated sample's outcome. The wear rate diminished by 42% under 60 N force and 0.15 m/s sliding speed in vacuum conditions. …”
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Prediction of the Effect of Polymer Membrane Composition in a Dry Air Humidification Process via Neural Network Modeling by M. Fakhroleslam, A. Samimi, S.A. Mousavi, R. Rezaei

“…Three different neural network models were developed to investigate several parameters, such as casting solution composition, membrane thickness, operating pressure, and flow rate of input dry air which have an impact on relative humidity of the exhausted air after humidification process. …”
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Information Mode–Dependent Success Rates of Obtaining German Medical Informatics Initiative–Compliant Broad Consent in the Emergency Department: Single-Center Prospective Observati... by Felix Patricius Hans, Jan Kleinekort, Melanie Boerries, Alexandra Nieters, Gerhard Kindle, Micha Rautenberg, Laura Bühler, Gerda Weiser, Michael Clemens Röttger, Carolin Neufischer, Matthias Kühn, Julius Wehrle, Anna Slagman, Antje Fischer-Rosinsky, Larissa Eienbröker, Frank Hanses, Gisbert Wilhelm Teepe, Hans-Jörg Busch, Leo Benning

“…Despite regulatory and ethical challenges, obtaining BC from patients in ED with varying demographic, socioeconomic, and disease characteristics presents a promising opportunity to expand the availability of ED data. ObjectiveThis study aimed to evaluate the success rate of obtaining BC through different consenting approaches in a tertiary ED and to explore factors influencing consent and dropout rates. …”
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Measuring carbonate dissolution rates under well-controlled conditions for reactive CO2-water flow in a large lab-scale karst fracture imitate by Bettina Strauch, Martin Zimmer, Kai Wendel, Leon Keim, Holger Class

“…The results showed, that the effects of different CO2 additions were well reflected in the limestone dissolution rates.This setup provides important experimental data for the validation of numerical models for reactive transport in karst systems, to improve the understanding of the interplay between chemical reactions, fluid dynamics and geological settings.The findings have implications for karst hydrology, geochemical modeling related subsurface processes, supporting advancements in predictive capabilities for natural and engineered systems.…”
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Periods of constant and falling-rate for infrared drying of carrot slices Períodos de secagem constante e decrescente de fatias de cenoura por infravermelho by Fernando M. Botelho, Paulo C. Corrêa, André. L. D. Goneli, Márcio A. Martins, Felipe E. A. Magalhães, Sílvia C. Campos

“…Different models were utilized to fit the experimental data of constant and falling drying rate periods. …”
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Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…Results from experiments show that SOResNet improves both performance and energy efficiency in edge data processing for real-time systems.…”
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Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification by Amilcar Quispe-Astorga, Roger Jesus Coaquira-Castillo, L. Walter Utrilla Mego, Julio Cesar Herrera-Levano, Yesenia Concha-Ramos, Erwin J. Sacoto-Cabrera, Edison Moreno-Cardenas

“…This research is based on data-driven models and machine learning, where a specific strategy is proposed for five types of system failures. …”
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Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing by Bernis Sütçübaşı, Tuğçe Ballı, Barış Metin, Emine Elif Tülay

“…This study bridges this gap by focusing on the classification of drug-naïve individuals diagnosed with MDD and healthy controls (HCs) using electroencephalogram (EEG) data recorded during emotional processing tasks. …”
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A novel method for measuring heat injury in leaves provides insights into the sequence of processes of heat injury development by Clara Bertel, Gilbert Neuner

“…Abstract Background Global warming is currently occurring at a rapid rate and is having a particularly severe impact on plants, which, as sessile organisms, have a limited ability to escape high temperatures. …”
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Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques by Syed Ibrar Hussain, Elena Toscano

“…The application of different augmentation rates per class also enhanced the handling of imbalanced data, resulting in more accurate large-scale detection. …”
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DYNAMICS PREVALENCE AND INTENSITY OF CHILDREN DENTAL CARIES WITH ACUTE RECURRENT RESPIRATORY VIRAL INFECTIONS IN THE PROCESS OF PROFILACTIC ACTION by L.F. Kaskova, O.S. Pavlenkova

“…Quantitative indicators are statistically processed by the Student- Fisher (r≤0,01). Data on the incidence of ARVI obtained from medical records and by interviewing parents using questionnaires. …”
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Liquid-phase CO2 hydrogenation to methanol synthesis: Solvent screening, process design and techno-economic evaluation by Dongliang Wang, Yun Du, Zuwei Liao, Xiaodong Hong, Shilong Zhang

“…A liquid-phase process with a gas recycle (Process 2) is implemented to enhance the utilization of feed gas, achieving a CO2 conversion rate of 95.23 % and a methanol yield of 99.69 %. …”
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Multiple mini-interviews as admission process: A study on perception of health science students in Universiti Brunei Darussalam. by Faiza Alam, Fatimah Az-Zahraa, Fazean Idris, Hanif Abdul Rahman

“…<h4>Background</h4>As multiple mini-interviews (MMI) have grown in popularity in selecting applicants to health science programmes, it is essential to comprehend students' views towards MMI and its usefulness in the admissions process. The study aims to explore students' perceptions on the usefulness and satisfaction of the MMI as an admission process into the health science programmes offered in Universiti Brunei Darussalam (UBD).…”
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A Process Evaluation of the Isoniazid Preventive Therapy Program in Sanyati District, Mashonaland West Province, Zimbabwe 2019 by Chamunorwa Mhembe, Daniel Chirundu, Cleophas Chimbetete, Notion Tafara Gombe, Tsitsi Patience Juru, Addmore Chadambuka, Gerald Shambira, Mufuta Tshimanga

“…A review of the 2019 Sanyati District IPT program data indicated that not all clients eligible for the IPT were initiated on the IPT program. …”
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Applying therapist-guided digital cognitive behavioral therapy for insomnia in psychiatry: a mixed-methods process evaluation by J. E. Reesen, F. M. van de Kamer, A. E. van Keeken, S. L.C. Ikelaar, P. van Oppen, N. Batelaan, J. Lancee, E. J.W. van Someren, F. van Nassau

“…Additionally, data were collected from i-Sleep therapists. Results A total of 181 i-Sleep participants (mean age = 46.7 years, SD = 13.2) enrolled, with an attrition rate of 21.6%. …”
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Maternal health risk factors dataset: Clinical parameters and insights from rural BangladeshMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Hasin Arman Shifa, Md. Anisul Haque Sajeeb, Oahidul Islam, Md Shadikul Bari, Mohammad Jahangir Alam, Narayan Ranjan Chakraborty

“…It captures core health parameters such as age, blood pressure (systolic and diastolic), blood sugar levels, body temperature, BMI, current mental health status, pre-existing medical history, gestational diabetes status, and heart rate. The diversity of data collected in this dataset is essential for understanding potential health changes associated with pregnancy. …”
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WCS-YOLOv8s: an improved YOLOv8s model for target identification and localization throughout the strawberry growth process by Sheng Gao, Sheng Gao, Gongpei Cui, Qiaohua Wang

“…This model proposes a data enhancement strategy based on the Warmup learning rate to stabilize the initial training process. …”
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Deteksi Tingkat Kematangan Tandan Buah Segar Kelapa Sawit dengan Algoritme K-Means by Wahyuni Eka Sari, Muslimin Muslimin, Annafi Franz, Putu Sugiartawan

“… Oil extraction rate (OER) of fresh fruit bunches (FFB) of palm oil is depend on the stage of ripeness. …”
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