Exploration of designing an automatic classifier for questions containing code snippets-A case study of Oracle SQL certification exam questions.

This study uses the Oracle SQL certification exam questions to explore the design of automatic classifiers for exam questions containing code snippets. SQL's question classification assigns a class label in the exam topics to a question. With this classification, questions can be selected from the test bank according to the testing scope to assemble a more suitable test paper.

The Development of a System for Elbow Joint Range of Motion Measurement Based on Image Recognition and Myoelectric Signals.

After a fracture, patients have reduced willingness to bend and extend their elbow joint due to pain, resulting in muscle atrophy, contracture, and stiffness around the elbow. Moreover, this may lead to progressive atrophy of the muscles around the elbow, resulting in permanent functional loss. Currently, a goniometer is used to measure the range of motion, ROM, to evaluate the recovery of the affected limb.

Lauric acid-loaded biomimetic, biocompatible, and antioxidant jelly fig (Ficus awkeotsang Makino) pectin hydrogel accelerates wound healing in diabetic rats.

Herein, we have presented a lauric acid (LA)-loaded jelly fig pectin (JFP)-based biocompatible hydrogel, which possesses strong antioxidant and antibacterial properties to treat diabetic wounds. The antioxidant and antibacterial activity of the JFP + LA hydrogels were beneficial in eliminating the reactive oxygen species (ROS) and bacterial infection in the wound bed, thereby protecting the wound surface and accelerating the tissue repair process. The in vivo diabetic wound healing studies demonstrated that applying JFP + LA hydrogels improved the rate of wound contraction and reduced the epithelialization time significantly.

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.

This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with thirteen MFCCs estimated from each segment, yielding 52 MFCCs per beat. Finally, MFCCs are used for heart sound classification.

A machine learning approach for identification of vascular access patency in hemodialysis patients using photoplethysmography: A pilot study.

Introduction: Vascular access (VA) is essential for patients with hemodialysis, and its dysfunction is a major complication that can reduce quality of life or even threaten life. VA patency is not only difficult to predict on an individual basis, but also challenging to predict in real-time. To overcome this challenge, this study aimed to develop a machine learning approach to predict 6-month primary patency (PP) using photoplethysmography (PPG) signals acquired from the tips of both index fingers.

Generalized fractional optimization-based explainable lightweight CNN model for malaria disease classification.

Over the past few decades, machine learning and deep learning (DL) have incredibly influenced a broader range of scientific disciplines. DL-based strategies have displayed superior performance in image processing compared to conventional standard methods, especially in healthcare settings. Among the biggest threats to global public health is the fast spread of malaria.

EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification.

The quality of vegetables and fruits are judged by their visual features. Misclassification of fruits and vegetables lead to a financial loss. To prevent the loss, superstores need to classify fruits and vegetables in terms of size, color and shape.

Barrier function-based prescribed performance trajectory tracking control of wheelchair upper-limb exoskeleton robot under actuator fault and external disturbance: Experimental verification.

This paper presents an innovative control strategy for the trajectory tracking of wheelchair upper-limb exoskeleton robots, integrating sliding mode control with a barrier function-based prescribed performance approach to handle actuator faults and external disturbances. The dynamic model of the exoskeleton robot is first extended to account for these uncertainties. The control design is then divided into two phases.

Innovative project to improve the accessibility of advanced wound care among chronic wound patients in Yunlin County, Taiwan: "Fight Out to CARE".

Yunlin County, Taiwan, faces healthcare challenges given its super-aged population, limited medical accessibility, and a rise in chronic wounds. To address these issues, we introduced the "Fight Out to CARE" project, dispatching wound nurses to patients' locations to perform Cleansing, Avoidance, Removal, and Enhancement (CARE) under tele-supervision from a plastic surgeon. The program was conducted weekly in 2018 and twice monthly in 2019 for 53 weeks.

Profiling Social Detachment in Older People in Taiwan: A Cluster Analysis.

Objectives: The Social Detachment Questionnaire for the Older Population (SDQO) is a validated tool that assesses various dimensions of social relationships. This study aimed to profile social detachment among older people in Taiwan using the SDQO and explore its use in distinguishing groups with varying levels of social engagement.

Methods: A telephone-based survey was conducted, collecting demographic data and responses to the SDQO and Brief Symptom Rating Scale-5 (BSRS-5).

Bio-hydrogel from RGD peptide/chitosan/β-glycerophosphate prevents postoperative wound adhesion.

Wound adhesion after any abdominal and gastrointestinal surgery is as high as 90 %, and if the adhesion is severe, it will be fatal. During the operation, various methods are used to avoid the adhesion of organs, such as reducing surgical wound area and using hydrogel products with short gelation time. However, these gels might cause allergy, and the gels are unsuitable for long-lasting recovery processes because the body absorbs them too quickly to avoid sticking.

Novel design of fractional cholesterol dynamics and drug concentrations model with analysis on machine predictive networks.

Within the intricate fabric of human physiology, cholesterol, a lipid present in cell membranes exerts a discernible effect on the concentration of the drug in human body that influence the aspects of drug pharmacokinetics. The objective of this work is to design a case study based fractional order cholesterol drug interaction model that encapsulates the nuanced dynamics inherent in the multifaceted human physiology with identification of essential variables including drug concentration K and cholesterol level γ. The strength of nonlinear autoregressive with exogenous inputs (NARX) neural networks are exploited to predict the temporal dynamics that reveal the hidden intricacies and subtle patterns within the fractional model.

Enhancing Vanadium Redox Flow Battery Performance with ZIF-67-Derived Cobalt-Based Electrode Materials.

Vanadium redox flow batteries (VRFBs) have emerged as a promising energy storage solution for stabilizing power grids integrated with renewable energy sources. In this study, we synthesized and evaluated a series of zeolitic imidazolate framework-67 (ZIF-67) derivatives as electrode materials for VRFBs, aiming to enhance electrochemical performance. Four materials-Co/NC-700, Co/NC-800, CoO-350, and CoO-450-were prepared through thermal decomposition under different conditions and coated onto graphite felt (GF) electrodes.

Exploring Academic Emotions Using Design Thinking Applied to Elementary School Learning Stress Adaptation.

Background: Students' learning stress adaptation is crucial. Research on design thinking in stress adaptation and academic emotions is still lacking.

Methods: This study developed "Stress Relief Design" instructional activities using a mixed-method research design, including student academic emotion journals and a stress relief agreement survey for data collection.

Public awareness, attitudes, behavior and norms building green hospitals' power.

Hospitals function to provide health services to the community, but they have the potential to be contributors to hazardous waste, climate change, and global warming. The concept of green hospitals is now necessary for changing hospital functions developed by various hospitals worldwide. The success of the green hospital concept requires support from the perspective of the surrounding society.

Fractional gradient optimized explainable convolutional neural network for Alzheimer's disease diagnosis.

Alzheimer's is one of the brain syndromes that steadily affects the brain memory. The early stage of Alzheimer's disease (AD) is referred to as mild cognitive impairment (MCI), and the growth of Alzheimer's is not certain in patients with MCI. The premature detection of Alzheimer's is crucial for maintaining healthy brain function and avoiding memory loss.

Closing the loop: A comprehensive exploration of Taiwan's e-waste to resource conversion journey.

Taiwan stands as a significant player in the global electronics market, capitalizing on its technological prowess and manufacturing capacities. Projected to achieve a notable compound annual growth rate (CAGR) of 13.2%, reaching an impressive USD 145.

The Impact of Substrate Temperature on the Adhesion Strength of Electroplated Copper on an Al-Doped ZnO/Si System.

This research, which involved a comprehensive methodology, including depositing electroplated copper on a copper seed layer and Al-doped ZnO (AZO) thin films on textured silicon substrates using DC magnetron sputtering with varying substrate heating, has yielded significant findings. The study thoroughly investigated the effects of substrate temperature (Ts) on copper adhesion strength and morphology using the peel force test and electron microscopy. The peel force test was conducted at angles of 90°, 135°, and 180°.

Analysis of renewable energy resources based on frank power aggregation operators and EDAS method for circular bipolar complex fuzzy uncertainty.

The model of circular bipolar complex fuzzy (Cir-BCF) sets computed based on the membership function, non-membership function, and radius among both functions for each value of the universal set. The technique of the Cir-BCF set is the modified or extended form of fuzzy sets, complex fuzzy sets, bipolar fuzzy sets, bipolar complex fuzzy sets, and simple circular bipolar fuzzy sets to cope with uncertain and vague information. In this manuscript, we describe the novel technique of frank operational laws based on Cir-BCF values for frank t-norm and frank t-conorm.

Multi-phased solutions of Prandtl's stress function for an orthotropic rectangular bar under Saint-Venant's torsion and the general rule of swapping.

Based on the conventional solution of Prandtl's stress function for an orthotropic rectangular bar under Saint-Venant's torsion, one can derive displacements, shear strains, shear stresses and torsional rigidity. The conventional solution of Prandtl's stress function has a hyperbolic function for the coordinate in the bar's thickness direction, and a trigonometric function for the coordinate in the width direction. This paper raises questions about the solution.