Microbiome role in pancreatic diseases development by Yu. V. Evsyutina, V. T. Ivashkin

“…Image-recognition systems (toll-like and NOD-like receptors) and microorganism-associated molecular patterns play important role in these processes. …”
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Assessing land degradation in lower gangetic west bengal using GIS-based soft computing and advanced machine learning algorithms by Gopal Chowdhury, Ashis Kumar Saha

“…Traditional approaches, like the Analytical Hierarchy Process (AHP), are prone to subjective bias. …”
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Guiding the Unseen: A Systems Model of Prompt-Driven Agency Dynamics in Generative AI-Enabled VR Serious Game Design by Chenhan Jiang, Shengyu Huang, Tao Shen

“…However, the systemic effects of prompt type on agency construction, decision boundaries, and process strategy remain unclear. Treating the design setting as adaptive, we captured real-time interactions by collecting think-aloud data from 48 novice designers. …”
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Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects by Mohsen Dehghanpour Abyaneh, Parviz Narimani, Mohammad Sadegh Javadi, Marzieh Golabchi, Samareh Attarsharghi, Mohammadjafar Hadad

“…Learning from machine models like the Gaussian process regression exhibited stability, with an R² value of 0.98 and a mean accuracy of 93 percent. …”
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Digital Transformation and Organizational Change: A Literature Based Framework by Murat Mehmet Koska, Cemal Akturk, Ceren Cubukcu Cerasi

“…By reviewing literature from 2018 to 2024 and examining real-world examples, from the successes of companies like Amazon and GE to the struggles seen in cases like Blockbuster and Nokia, we show that digital transformation can lead to flatter hierarchies and more agile, data-driven decision-making processes. …”
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Adsorption and Kinetic Study of Methylene Blue dye on New Surface Derived from Copolymer (Melamine – Formaldehyde – Para- methyl Anisole) by Baghdad Science Journal

“…The adsorption study was carried out over a wide range of pH, shaking time and in media of various kinetic parameters models. Thermal parameters like enthalpy, entropy and Gibbs free energy of adsorption process of methylene blue on surface of MFA resin were determined on the basis of kinetic parameters at different temperatures. …”
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Cortical contributions to saccadic suppression. by George Chahine, Bart Krekelberg

“…The neural mechanisms responsible for this reduced perisaccadic visibility remain unknown, but the Lateral Geniculate Nucleus (LGN) has been proposed as a likely site. Our data show, however, that the saccadic suppression of a target flashed in the right visual hemifield increased with an increase in background luminance in the left visual hemifield. …”
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Micro-Incubator Protocol for Testing a CO₂ Sensor for Early Warning of Spontaneous Combustion by Mathew G. Pelletier, Joseph S. McIntyre, Greg A. Holt, Chris L. Butts, Marshall C. Lamb

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Teaching a neural network modeling socio-economic development of the region by S. V. Romanchukov, O. G. Berestneva, L. A. Petrova

“…The use of third-party cloud-based software platforms (primarily IBM and Google infrastructures) allows to bypass the problem of the research team’s lack of expensive material and technical base, however they impose a number of limitations dictated by the requirements of the existing machine learning algorithms and the specific architecture provided platforms This puts the research team in front of the need to prepare the accumulated data set for processing: reducing the dimension, checking the data for compliance with the platform requirements and eliminating potential problem areas: “data leaks”, “learning distortions” and others. …”
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Role of Faith Based Organizations (FBO’s) in Responding to the Socio-Economic Impact of Covid-19 in Nyakinama Sub-County Kisoro District. by Mukabera, Charity

“…So they are lagging behind in the process of development. FBOs would like to involve these women and enhance their participation in the development process and the study also recommends that FBOs work together with the government counterparts who have done tremendous work. …”
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Spent coffee grounds as a sustainable coffee flavouring ingredient in muffins by Sina Breian Solberg, Svein Øivind Solberg

“…Research has shown that SCG is rich in dietary fibres and antioxidants, and we liked to examine if SCG could be used in flavouring muffins. …”
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Somatic genome architecture and molecular evolution are decoupled in "young" linage-specific gene families in ciliates. by Xyrus X Maurer-Alcalá, Auden Cote-L'Heureux, Sergei L Kosakovsky Pond, Laura A Katz

“…Our analyses demonstrate that: 1) most lineage-specific gene families are found at shallow taxonomic scales; 2) extensive genome processing (i.e., gene unscrambling) during development likely influences the size and number of young lineage-specific gene families; and 3) the influence of somatic genome architecture on molecular evolution is increasingly apparent in older gene families. …”
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Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control by Ramesh Arvind Naagarajan, Kiran Kumar Sathyanarayanan, Nadja Bauer, Stefan Streif, Stefan Streif

“…This study introduces a language-based support system to improve the usability of advanced control strategies like MPC. The system segments time-series data using the change point detection method to identify significant changes. …”
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Sanitation and Hygiene Monitoring System for Preventing Viral Infections in Orphanage Homes by Victoria Olusayo Aina, Oluwaseyi Abiodun AKPOR, Victor olukayode Ekundina, Adeniran Sunday Afolalu

“…From the results of the reviewed literatures, it was observed that adequate smart homes for the orphanage will require smart monitoring using internet of things and data analytics with certain parameters like level of compliance to hand washing, air quality, cleanliness of the rest room and usual disinfection of surfaces. …”
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Does regulation delay mines? A timeline and economic benefit audit of British Columbia mines by Rosemary Collard, Jessica Dempsey, Youssef Al Bouchi, Nathan Bawaan

“…Seeking to capitalize on a surge in global demand for critical minerals, the Canadian mining sector claims that regulatory processes like Environmental Assessment (EA) impede and delay mining’s economic benefits. …”
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Topographic Roughness on Forested Hillslopes: A Theoretical Approach for Quantifying Hillslope Sediment Flux From Tree Throw by Tyler H. Doane, Douglas Edmonds, Brian J. Yanites, Quinn Lewis

“…Here, we develop a theory that leads to a dimensionless metric directly measurable from high resolution topographic data. The theory explains the flux and topographic roughness as a function of tree throw production and decay rate by creep‐like processes. …”
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Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making by Nouri Hicham, Nassera Habbat

“…Generative AI models, like GPT-3.5 and GPT-4, are used to create more data, and the meaning of words is enhanced using techniques like BERT and Word2Vec. …”
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Ferroelectric memory: state-of-the-art manufacturing and research by D. A. Abdullaev, R. A. Milovanov, R. L. Volkov, N. I. Borgardt, A. N. Lantsev, K. A. Vorotilov, A. S. Sigov

“…Semiconductor industry calls for emerging memory, demonstrating high speed (like SRAM or DRAM), nonvolatility (like Flash NAND), high endurance and density, good scalability, reduced energy consumption and reasonable cost. …”
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Cost-Effective Multitask Active Learning in Wearable Sensor Systems by Asiful Arefeen, Hassan Ghasemzadeh

“…However, supervised multitask learning models, like many neural networks, require substantial amounts of labeled data. …”
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Animate, or Inanimate, That Is the Question for Large Language Models by Giulia Pucci, Fabio Massimo Zanzotto, Leonardo Ranaldi

“…Results reveal that, although LLMs have been trained predominantly on textual data, they exhibit human-like behavior when faced with typical animate and inanimate entities in alignment with earlier studies, specifically on seven LLMs selected from three major families—OpenAI (GPT-3.5, GPT-4), Meta (Llama2 7B, 13B, 70B), and Mistral (Mistral-7B, Mixtral). …”
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