Constructing Cell-Specific Causal Networks of Individual Cells for Depicting Dynamical Biological Processes by Xinzhe Huang, Luonan Chen, Xiaoping Liu

“…Causal inference is crucial in biological research, as it enables the understanding of complex relationships and dynamic processes that drive cellular behavior, development, and disease. …”
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Phonological processes in English connected speech: implications for L2 speech learning and communication by Sonthaya Rattanasak

“…In this article, the prominent features of these phonological processes in connected speech are, therefore, explored while underscoring relevant pedagogical issues and instructional implications for teaching English pronunciation. …”
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An Innovation Capability Development Process for Firms in Developing Countries: A Theoretical Conceptual Model by Gezahegn Tesfaye, Daniel Kitaw

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The Democratization Process in the Western Balkans in the Last 20 Years: Interethnic Relations and Security Implications by Katerina Veljanoska, Oliver Andonov, Goran Shibakovski

“…The process of democratization in Western Balkans is connected with the process of state-building before and after the reconstruction. …”
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Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint by Mombekova Sandugash, Akhmetova Sabira, Shaimerdenova Guldana, Alisheva Sandugash, Mussirepova Elmira, Kydyrbekova Aizat, Torebay Nursaule

“…This could include analyzing a lot of data, making the best use of manufacturing processes, weather forecasting, developing new drugs, and much more. …”
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Computational-Based Approaches for Predicting Biochemical Oxygen Demand (BOD) Removal in Adsorption Process by Mohamed K. Mostafa, Ahmed S. Mahmoud, Mohamed S. Mahmoud, Mahmoud Nasr

“…The applicability of these modeling techniques would guide the stakeholders and industrial sector to overcome the nonlinearity and complexity issues related to the adsorption process.…”
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Large language models to process, analyze, and synthesize biomedical texts: a scoping review by Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen

“…We conclude that, despite offering opportunities to manage the growing volume of biomedical data, LLMs also present challenges, particularly in clinical medicine and evidence synthesis, such as issues with transparency and privacy concerns.…”
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Predictive Machine Learning Approaches for Supply and Manufacturing Processes Planning in Mass-Customization Products by Shereen Alfayoumi, Amal Elgammal, Neamat El-Tazi

“…Planning in mass-customization supply and manufacturing processes is a complex process that requires continuous planning and optimization to minimize time and cost across a wide variety of choices in large production volumes. …”
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Artificial Intelligence and the creative process: Does AI-creativity extend beyond divergent thinking? by Christian Byrge, Erik E. Guzik, Christian Gilde

“…While several recent studies have demonstrated the impressive creative performance of Artificial Intelligence (AI) on divergent thinking tasks, there is currently insufficient research and understanding of how AI performs on convergent thinking and discernment activities, essential components of the human creative process. Creative problem-solving methods, in particular, present an intriguing means of researching AI’s capacity to identify problems within ambiguous situations, while also generating relevant, useful solutions that respond to authentic, real-world issues in a meaningful way. …”
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Study on Influencing Factors of Alkaline Nickel-Free Normal Temperature Sealing Process Performance by TAO Ming, LIU Xiaohui, LIU Chuanye, WANG Wenhao, DING Yunhu, ZHAN Wen

“…In order to support the development and application of energy-efficient and environmentally friendly nickel-free cold sealing technologies，a systematic study was conducted to investigate various factors affecting the sealing quality of alkaline nickel-free normal temperature sealing processes.These factors included sealing process parameters (such as pH，temperature，time，surfactants and fluoride ions) and process management variables (such as aging temperature，aging time，and aluminum ion impurities).The sealing quality was evaluated using an online rapid dye spot test，and further verified through a phosphochromic acid weight loss test following nitric acid pre-immersion.Results showed that pH and temperature were the most influential parameters affecting the sealing quality.When the pH value fell below 8 or the temperature dropped below 25 ℃，the sealing quality deteriorated rapidly.Special attention should be paid to the introduction of aluminum ions into the oxidation tank during production management，resulting in turbidity of the bath solution and the formation of sealing ash on the sealed surface，among other issues.When the ambient temperature was below 15 ℃，the sealing film aging process was found to be incomplete，resulting in a weight loss of the sealed pores exceeding 60 mg/dm2 after 24 h of aging.The optimal sealing process control parameters were determined as follows: fluoride ion concentration of 0.4～0.6 g/L，pH value of 8.2～8.6，sealing temperature of 32～35 ℃ and sealing time of 1.2～1.3 min/μm.…”
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Study on unfrostered water content and strength characteristics of saturated sandstone during thawing process by Zuyong Li, Gengshe Yang, Baohui Wang, Jinlong Wang

“…The changes in mechanical properties during the thawing process of frozen rocks are key issues in controlling the stability of frozen walls. …”
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Risk Assessment Model for Converter Transformers Based on Entropy-Weight Analytic Hierarchy Process by Guochao Qian, Weiju Dai, Dexu Zou, Haoruo Sun, Hanting Zhang, Jian Hao

“…As a critical component in voltage–current conversion and power transmission within HVDC systems, the risk assessment of converter transformers plays a significant role in ensuring their operational safety and enhancing the reliability of the power supply. To address the issues of the incomplete characteristic parameters and limited fault data used for model training in existing transformer evaluation models, this paper develops a risk assessment model for converter transformers based on the entropy-weighted analytic hierarchy process (AHP). …”
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Performance and healthcare team processes and structure impact player availability in professional men’s football by Carly D McKay, Kunle Odetoyinbo

“…During match congestion, the PHCT reported that resource and task coordination issues negatively impacted their processes.Conclusions Match congestion was associated with disruptions to PHCT processes and structure, with negative implications for PA.…”
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Parameter Optimization and Experimental Study on Alfalfa Stem Flattening Process Based on DEM–MBD by Zhikai Yang, Keping Zhang, Jinlong Yang, Yaping Yao

“…To address issues such as uneven flattening and high stem breakage rate in post-harvest alfalfa field conditioning operations, an adjustable-clearance flattening and modulating device was designed. …”
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Selective Laser Sintering of Polymers: Process Parameters, Machine Learning Approaches, and Future Directions by Hossam M. Yehia, Atef Hamada, Tamer A. Sebaey, Walaa Abd-Elaziem

“…This paper presents a comprehensive analysis of the SLS process, emphasizing the impact of different processing variables on material properties and the quality of fabricated parts. …”
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An Explanation of Pedagogical Reservations to Respond to Emotional Requirements of Students in the Process of Teaching Architectural Design by Masoumeh Ahmadi, Parisa Hashempour, Maziar Asefi, Hamid Nadimi

“…The way to respond to these requirements involving people's emotional intelligence – their ability to understandprocess and use emotional information in the process of cognition and thinking –is influential in their learning. …”
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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…Hence, AI techniques are used to obtaining precise outcomes for dental-related issues. The conventional ML (Machine Learning) techniques are inefficient for obtaining enhanced outcomes as the efficiency of ML techniques heavily depends on image processing approaches. …”
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Natural Language Processing of Sentiments Identified in Patient Comments Associated with Less Than Top-Rated Care by Ali Azarpey MD, Jacob Thomas PhD, David Ring MD, PhD, Orrin Franko MD

“…Conclusion: The finding that NLP analysis of comments from submaximal patient ratings of experience is consistent with evidence that the worst ratings are associated with relationship issues and more moderate ratings are associated with process issues affirms the ability of NLP to analyze large amounts of patient comments to identify opportunities to improve patient experience of care.…”
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Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes by J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza

“…We introduced the correlated chained Gaussian process with enhanced generalized cross-entropy loss, termed CGP-GCE, which effectively models multiple annotators' non-stationary and interdependent behaviors by a Bayesian approach. …”
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The effectiveness of self-differentiation training on family process and marital intimacy in couples with marital conflict by Seyedeh Farzaneh Jafari, Kobra Kazemian Moghaddam, Maryam Gholamzadeh Jofreh

“…Conclusion: Self-differentiation training significantly improved family processes and marital intimacy in couples experiencing conflict, suggesting its effectiveness in addressing the core issues underlying marital discord. …”
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