A mathematical framework of HIV and TB co-infection dynamics by Nauman Raza, Shaiza Irum, Shafiullah Niazai, Muhammad Asad Ullah, Mohammad Y. Alshahrani, Andrew Omame

“…Abstract The biological processes involved in diseases like human immunodeficiency virus (HIV) and tuberculosis (TB) require extensive research, particularly when both diseases occur together. …”
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Level of satisfaction to clinical learning environment and its associated factors among nursing students of public universities in Central Ethiopia. by Birhanu Tesfaye, Adamu Birhanu, Jiregna Darega, Samuel Abate Walda, Meseret Robi Tura

“…The data were entered into Epi data version 3.1 and exported to SPSS version 25 for analysis. …”
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Synthesis and characterisation of a cancerous liver for presurgical planning and training applications by Christopher Clarke, Edward Alabraba, Richard Arm, Arash Shahidi

“…Collected data were compared with published data on the human liver. …”
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Telugu language hate speech detection using deep learning transformer models: Corpus generation and evaluation by Namit Khanduja, Nishant Kumar, Arun Chauhan

“…Lack of regulations and ethics have made advancement in the proliferation of abusive language and hate speech has become a growing concern on social media platforms in the form of posts, replies, and comments towards individuals, groups, religions, and communities. However, the process of classification of hate speech manually on online platforms is cumbersome and impractical due to the excessive amount of data being generated. …”
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The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review by Luis B Elvas, Ana Almeida, Joao C Ferreira

“…Cardiovascular diseases (CVDs), the leading cause of global mortality with 17.9 million annual deaths, encompass conditions like coronary heart disease and hypertension. The increasing availability of medical data, coupled with AI advancements, offers new opportunities for early detection and intervention in cardiovascular events, leveraging AI’s capacity to analyze complex datasets and uncover critical patterns. …”
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AI-Powered IoT: A Survey on Integrating Artificial Intelligence With IoT for Enhanced Security, Efficiency, and Smart Applications by Vivek Menon U, Vinoth Babu Kumaravelu, Vinoth Kumar C, Rammohan A, Sunil Chinnadurai, Rajeshkumar Venkatesan, Han Hai, Poongundran Selvaprabhu

“…These things or devices connected to IoT generate, gather and process a massive volume of binary data. This massive volume of data generated from these devices is analyzed and learned by AI algorithms and techniques that aid in providing users with better services. …”
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MLA-Machine Learning Approach for Dependable Battery Condition Monitoring in Electric Vehicles by Tirgar Pravin, Priya R Karpaga, Sampath Kumar Vankadara, Lakhanpal Sorabh, Raj R Gowtham, N K Rayaguru

“…By focusing on relevant data at each moment, the monitoring process enhances the model’s ability to track long- term changes in battery life. …”
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A Study on the Development of Real-Time Chamber Contamination Diagnosis Sensors by Junyeob Lee, Kyongnam Kim

“…However, polymer accumulation during processes like plasma etching can cause chamber contamination, adversely affecting plasma characteristics and process stability. …”
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Law nº 13.344/2016 and the new techniques for the localization of human trafficking victims and suspects: effectiveness, legality and constitutional adequacy by Cleopas Isaías Santos, Samyr Béliche Vale

“…For this purpose, it is assumed that the technical means typically used in this process are not effective. In light of this, it is suggested the use of the GPS tool, which technically does not qualify as a "signal" and presumes the license of data network with financial costs. …”
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Production cross–section and reaction yield calculations for 123-126I isotopes on 123Sb(α,xn) reactions by Hasan ÖZDOĞAN, Mert ŞEKERCİ, Abdullah KAPLAN

“…Within the process of a nuclear reaction, one of the most important parameter is the cross–section data which help to reveal the mechanisms of the reaction phenomenon. …”
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Double ϕ production in p¯p reactions near threshold by Dayoung Lee, Jung Keun Ahn, Seung-il Nam

“…At the same time, those from the f0 and f2 mesons produce distinctive peak structures around W=2.2 GeV, qualitatively reproducing the JETSET experimental data. The openings of the Λ¯Λ and Σ¯Σ channels lead to the cusp structures, which can explain the nontrivial structures in the cross-section at W≈2MΛ and 2MΣ observed in the data. …”
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AGENCY AT WORK: A METAPHOR ANALYSIS OF LESSON PLANNING AMONG ENGLISH LANGUAGE TEACHERS IN THE PHILIPPINES by Paolo Nino Valdez, Minie Rose Lapinid, Von Christopher Chua

“…The metaphorical conceptualization process employed in analyzing the data consists of three phases (1) validating and coding data, (2) summarizing and representing codes, and (3) identifying and describing categories. …”
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Presenting a Model of Compromise and Withdrawal of Divorce in Couples Applying for Consensual Divorce: A Grounded Theory Study by Soheila Behtoei, Fatemeh Golshani, Anita Baghdasarians, Suzan Emamipour

“…The sample consisted of 9 couples who had sought services at the West Tehran Health Center, specifically those who had retracted their decision for consensual divorce in 2022, chosen through purposive sampling. Data collection was conducted through semi-structured interviews, with data analysis following the systematic framework proposed by Strauss and Corbin (1990). …”
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What makes them self-regulated? Self-regulation procedures of academically successful students and key influences by Seda Aydan, Yesim Capa-Aydin

“…Individual interviews were conducted with students and teachers. The data were analyzed via content analysis method. The results of the study showed that SRL process is complex, and several phases of SRL take place concurrently. …”
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Inventory Management and Service Delivery in Government Hospitals: A Case Study of Kabale Regional Referral Hospital. by Muhindo, Patience

“…The major challenges that KRRH was facing in IM processes included: Late delivery by the suppliers; Inadequate tools and equipment to use in inventory management like computer software; Manual documentation; Inconsistent tracking of ordered goods and services; Lack of collaboration between the Procurement and Inventory department and other departments; Poor inventory management process; Lack of Transparency amongst the store staff: and Entrance of unauthorized personnel among others. …”
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Bioconvection in polar fluid with microstructure: A fractional heat and mass transfer model with non-singular and non-local kernel by Frahad Ali, Zulikha Shah, Nadeem Ahmad Sheikh, Sultan Alshehery, Ilyas Khan, Wei Sin Koh

“…This is particularly important in fields like control theory, neurodynamics, fluid dynamics, and finance, where historical data impacts future behavior. …”
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Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Traditional diagnostic methods are expert judgment-based and pre-threshold-based and, therefore, less efficient when dealing with vast industrial processes. Based on key operating parameters like voltage, current, and speed, this article describes how machine learning (ML) algorithms like Random Forest (RF), K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Support Vector Machines (SVM), and Extreme Gradient Boosting with Feature Interaction (XGBoost + FIS) are used to detect different motor faults. …”
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Brokerage and social segregation: a case study of cluster housing environment in Gading Serpong, Indonesia by Aryaning Arya Kresna, Pamerdi Giri Wiloso, Wilson Therik, Willi Toisuta

“…The main reason is social actors like brokerage.…”
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Enhanced Oil and Gas Production Forecasting Through Stacked generalization Ensemble Learning Technique by Azhar Alyahya, Gülüzar Çit

“…Precise projections aid in estimating future output rates, streamlining processes, and effectively allocating resources. Techniques like “ Decline Curve Analysis (DCA) and Numerical Reservoir Simulation (NRS) ” have been used in the past, but they have drawbacks such reliance on static models and time consumption. …”
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Global warming and avifauna from the Argeş River dam basins (Southern Romania) – long term study case by Adrian MESTECĂNEANU, Radu GAVA

“…An attempt to find a link between the global warming, manifested on local scale, and the dynamics of the winter avifauna recorded on the Vâlcele, Budeasa, Bascov, Piteşti and Goleşti Dam Basins from ROSPA0062 Lacurile de acumulare de pe Argeş was achieved in the paper. Based on the data collected between 1999 and 2020 during the MidWinter (the Winter Census of the Wetland Birds), some major conclusions were drawn: the climate change resulted from the analyse of the air temperature registered in the area and it was noticeable in some measure on the phenology of the birds; it influenced the dynamics of the avifauna, as total number of species and individuals, as well as the strength of every species; also, other local and extern elements, like the process of silting of the dam basins, the direct anthropogenic pressure, were involved here. …”
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