Staffing & Scheduling

Effects of AI explanations on trust and reliance: a study in job shop scheduling.

Trust calibration is critical for productive human-AI collaboration in production management, yet the impact of brief explanations on trust and reliance for black-box schedulers remains unclear. We conducted a between-subjects online experiment in flexible job shop scheduling (FJSS; N = 253 professionals and graduate engineers), comparing a deep reinforcement learning (DRL) scheduler augmented wit...

Principles and approaches applied for foodborne microbial risk assessment: a scoping review of concepts, limitations and future directions.

Microbiological risk assessment (MRA) is a cornerstone of food safety governance, enabling sound science to set food safety standards, guidelines, and recommendations, that aim to ensure consumer protection and facilitate international trade. This scoping review summarizes recent developments, limitations, and future directions in foodborne MRA, based on literature published between 2013 and 2023....

Method design and automation of a forensic toxicology LC-QTOF-MS technique to meet high-throughput routine applications.

The utility of a comprehensive and validated analytical technique is minimized without a holistic method design and automated data processing. Forensi...

Memory like the human brain: A framework for decoding multimodal learning of brain-visual-linguistic features.

Decoding human visual neural representations is scientifically important for advancing research on brain-like intelligence. Existing research typicall...

A meta learning and task adaptive approach for drug target affinity prediction.

Accurate and robust prediction of drug-target affinity (DTA) plays a critical role in drug discovery. While deep learning has advanced DTA prediction,...

Toward self-driving laboratory 2.0 for chemistry and materials discovery.

The convergence of laboratory automation, artificial intelligence (AI), and data-driven science has catalyzed the emergence of self-driving laboratori...

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothe...

Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures.

BACKGROUND: Triage errors in emergency departments (EDs), including undertriage and overtriage, pose significant risks to patient safety and resource ...

Ensemble and temporal feature-based framework for rainfall classification in Bangladesh.

Accurate rainfall classification is essential for Bangladesh, where monsoon variability strongly influences agriculture, water resource management, an...

From innovation to implementation: Addressing the AI adoption gap in cardiac surgery.

BACKGROUND: While artificial intelligence (AI) is advancing rapidly across cardiovascular medicine, its translation into cardiac surgery remains limit...

Cloud-based collaborative CNC manufacturing framework integrating tool wear monitoring and scheduling support.

Bridging immunization gaps in Sub-Saharan Africa: a narrative review of microplanning, geospatial, and machine learning approaches to reach zero-dose children and under-immunised children.

Immunization inequities persist across Sub-Saharan Africa, with significant numbers of zero-dose and under-immunised children contributing to preventa...

Harnessing the Power of artificial intelligence for clinical trials in cancer.

INTRODUCTION: Cancer research has become increasingly data-intensive, with digital pathology, imaging, and genomic sequencing generating vast, heterog...

Short-Term Perceptual Training Modulates Neural Responses to Deepfake Speech but Does Not Improve Behavioral Discrimination.

Rapid advancements in artificial intelligence (AI) have enabled text-to-speech (TTS) systems to produce voices increasingly indistinguishable from hum...

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges.

Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity....

Integrative strategies for strawberry flavor optimization: From molecular biosynthesis to data-driven quality control.

Strawberry flavor directly influences consumer acceptance, yet its consistency and quality are often compromised along the field-to-fork continuum due...

Exploring the therapeutic potential of Radix Puerariae isoflavonoids against atherosclerosis through integrative network pharmacology and machine learning.

Atherosclerosis (AS) is a chronic inflammatory disease of the vascular wall driven by a complex interplay between dysregulated immune responses and li...

Treatment of pulmonary fibrosis: From disease mechanisms to future novel therapies (Review).

Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease characterized by irreversible lung scarring and frequently associated wit...

MXene/biomacromolecule composites: structures, properties, fabrication and applications.

MXene/biomacromolecule composites have rapidly emerged as a versatile class of hybrids that couple the electrical and photothermal functionalities of ...

Balance biomarker for early differentiation of Parkinson's disease and multiple system atrophy with parkinsonian type.

BACKGROUND: Parkinson's disease (PD) and multiple system atrophy with parkinsonian type (MSA-P) share various motor and nonmotor symptoms, complicatin...