Academic Articles & Research Papers

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

Predictive modelling to differentiate possible bacterial and viral cases of childhood pneumonia in Kilifi, Kenya using protein markers and clinical data.

Prevalence and non-invasive predictive models of vitamin D insufficiency in Paraguayan youth: the role of body composition and traditional mate consumption.

Current and Future Applications of AI-Driven Predictive Modeling and a Proposed Framework for AI-Bioprognostics in Kidney Care.

Comparison of predictive models for estimating scorpion, snake, and spider envenomation under warming scenarios in São Paulo State, Brazil.

Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques

Abstract This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is...

Screen Time vs. Quality Time: Examining the Relationship between Multi-screen Addiction and Marital Relationship Quality through the Lens of maintenance-oriented relationship commitment

Objective: The present study aimed to investigate the predictive model of marital relationship quality based on multi-screen addiction with the mediating role of maintenance-oriented relationship commitment in married individuals.Methods: T...

AI for identifying social norm violation

Abstract Identifying social norms and their violation is a challenge facing several projects in computational science. This paper presents a novel approach to identifying social norm violations. We used GPT-3, zero-shot classification, and ...

Effect of fire-source location on flame behavior and temperature distribution in subway carriages with multiple lateral openings

Urban rail transit has been widely adopted to alleviate surface traffic congestion. However, subway fire safety remains a critical concern because of the confined carriage space, high occupant density, and complex ventilation conditions. Mo...

Structural analysis of key factors in poverty alleviation for policy development in persistently impoverished provinces in Thailand

IntroductionPoverty remains a persistent and complex challenge in Thailand, particularly in structurally disadvantaged provinces such as Kalasin. Despite multiple national development strategies, poverty rates in Kalasin have remained consi...

Developing a nomogram to predict recurrent intussusception after pneumatic reduction of primary intussusception in children

Abstract Backgroud Intussusception is a common acute abdominal disease in children, often leading to acute ileus in infants and young children. Objective This study aimed to develop and validate a nomogram for predicting recurrent intussusc...

Time dynamics of symptom progression in patients with acute pancreatitis: a Dynamic Time Warping analysis

BackgroundAcute pancreatitis (AP) morbidity has been increasing in recent years. Patients with AP exhibit highly variable symptom patterns over time, posting challenges to traditional analytical methods. Dynamic Time Warping (DTW) effective...

A Prospective, Randomized Trial Comparing Hydromorphone and Nalbuphine for Postcesarean Patient-Controlled Analgesia and Developing a Risk Prediction Model for Inadequate Analgesia

Kaiwen Zhang,1,* Jiaoli Sun,1,* Caixia Zhang,2 Bo Jiao,1 Wencui Zhang,1 Shangchen Yu,1 Xueqin Cao,1 Zhiqiang Zhou,1 Guanglei Zhang,1 Xianwei Zhang1 1Department of Anesthesiology and Pain Medicine,Hubei Key Laboratory of Geri...

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...

Effect of chemical treatment on the mechanical and thermal performance of flax fiber reinforced aluminium 6082 laminate: a machine learning-enhanced investigation

Abstract This work examined the role of alkaline and epoxy-based surface chemical treatments on the mechanical and thermal properties of flax fiber reinforced Aluminum Alloy 6082 hybrid Fiber Metal Laminates (FMLs), integrated with machine ...

A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma

Cholangiocarcinoma (CCA) is a malignant hepatic tumor with a poor prognosis, which needs early diagnosis urgently. The gut microbiota has been shown to play a crucial role in the progression of liver cancer. Here, we explored a gut microbio...

Optimization Strategies in Quantum Machine Learning: A Performance Analysis

This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...

Association of Case Management Nursing with Swallowing and Voice Recovery and Quality of Life After Transoral Thyroidectomy: A Retrospective Study with Predictive Modeling.

Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data

Introduction Perinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to...

Tumor probability mapping of fluorescence intensity during image-guided surgery of head and neck cancer

Abstract Achieving negative surgical margins remains a critical determinant of local recurrence and survival in head and neck cancer (HNC) surgery. Current intraoperative margin assessment techniques, including frozen section analysis, suff...