Staffing & Scheduling

Modulating the oral microbiome with dental biomaterials: A review of challenges, advances, and future perspectives.

The oral microbiome plays a pivotal role in maintaining both oral and systemic health. Recent studies highlight the potential of dental biomaterials to modulate this complex microbial community. Because of the short retention time imposed by the dynamic oral environment, oral microbiome-modulating dental biomaterials require unique design considerations. This Review outlines recent advances in ora...

Algal/bacterial membrane bioreactor for bioremediation of hazardous landfill leachate containing 1,4-dioxane: An artificial neural network modeling.

This study developed an artificial neural network (ANN) model to predict the 1,4-dioxane removal efficiency from hazardous landfill leachate treated by an algal/bacterial symbiosis system. Three algal/bacterial membrane bioreactors were operated in parallel at a hydraulic retention time (HRT) range of 6-24 h, addressing the contribution of enzymatic activities and microbial communities in 1,4-diox...

Function of chemokines in embryo implantation.

Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted re...

Artificial Intelligence in Microsurgical Education: A Systematic Review of Its Role in Training Surgeons.

BACKGROUND: Microsurgery is associated with a steep learning curve that requires extensive training through supervised surgeries, cadaver practice, an...

AI-assisted script concordance tests: Enhancing feasibility with customized ChatGPT.

WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning by evaluating responses to uncertain scenarios agai...

Human-Like Epistemic Trust? A Conceptual and Normative Analysis of Conversational AI in Mental Healthcare.

The attribution of human concepts to conversational artificial intelligence (CAI) simulating human characteristics and conversation in psychotherapeut...

Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.

The role of data-driven analyses is becoming more prominent in football. These have the potential to impact decision-making processes for team perform...

A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working Caregivers: A 4-Month Non-Randomised Controlled Study With Cross-Over Design.

Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-scheduling mobile application (which reflects the loca...

Predicting the First Onset of Suicidal Thoughts and Behaviors in Adolescents Using Multimodal Risk Factors: A 4-Year Longitudinal Study.

OBJECTIVE: Suicide is one of the leading causes of death among youth worldwide, yet existing studies that aimed to predict the first onset of suicidal...

Comparison of the effects of robot-assisted gait training using FES versus virtual reality for stroke patients. A randomized clinical trial.

BACKGROUND: Robot-assisted gait training is becoming an effective alternative to therapist-assisted gait training in stroke rehabilitation. This metho...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by significantly improving precision, safety, and perso...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating these ultrasmall environments is essential for pre...

Three-dimensional digital quantitative analysis of periodontal and peri-implant phenotype-A narrative review.

3D digital evaluation of the periodontal and peri-implant tissue, including CBCT, intraoral scanning, optical surface scanning, and ultrasonography, i...

Multi-walled carbon nanotubes green-functionalized with iron nanoparticles for continuous removal of pharmaceutical pollutants through fixed-bed adsorption: Integrated experimental and machine learning approaches.

Pharmaceutical residues, including losartan and diclofenac, are insufficiently removed by conventional wastewater treatment plants, leading to persist...

Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture.

This paper presents a novel approach for personalized learning path generation by integrating deep knowledge tracing and cognitive load estimation wit...

GeoAI-based soil erosion risk assessment in the Brahmaputra River Basin: a synergistic approach using RUSLE and advanced machine learning.

Soil erosion is a critical environmental issue in the Brahmaputra River Basin, threatening agricultural productivity, water resources, and ecological ...

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.

Proinflammatory peptides (PIPs) play a crucial role in immune response modulation by orchestrating cytokine release and leukocyte recruitment. Accurat...

MAMSI: Integration of Multiassay Liquid Chromatography-Mass Spectrometry Metabolomics Data Using Multiview Machine Learning.

Liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in untargeted metabolomics. However, the diverse chemical and ...

Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory.

Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertainty factors and the difficulty of traditional opti...

Ethical Implications of Artificial Intelligence in Vaccine Equity: Protocol for Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low- and Middle-Income Countries.

BACKGROUND: The COVID-19 pandemic highlighted significant disparities in vaccine distribution, particularly in low- and middle-income countries (LMICs...