Digital Commons Network^™

Rationale For Pre-Procedure Dental Interventions To Enhance Medical Outcomes, Harsha Pamulapati, Rebecca Frank Rdh, Phdhp, Michele Pisano-Marsh Dmd

Research Scholars

No abstract provided.

Implementing The Lehigh Valley Health Network’S Junior Research Scholar (Jrs) Program: Mentoring At The Secondary Level, Magdalene Burnham, Lisa Keller Med

Research Scholars

No abstract provided.

Fort Hays State University Tiger Weekly, July 25, 2025, University Relations

Tiger Weekly Newsletters

No abstract provided.

Be Mindful: Examining A Brief Mindfulness Intervention On Educator Well-Being, Oceann S. Gittens

LSU Doctoral Dissertations

Teaching is currently rated as one of the topmost stressful occupations. Concerningly, chronic levels of stress can lead to poor mental and physical health, occupational burnout, and teacher attrition; all of which have a negative impact on student outcomes. Mindfulness-based interventions (MBIs) are commonly used to combat occupational stress by enhancing educator well-being. There is compelling evidence to support these types of interventions with teachers. However, the length of many MBIs may make them prohibitive for the average educator to participate in them. The literature suggests that a briefer format may be just as effective at reducing stress, but more …

Comparative Analysis Of Seasonal Mixed Integrated Autoregressive Moving Average And Feed-Forward Neural Networks Models In Predicting United State Natural Hazard Casualties, Mohammed Q. Ibrahim, Azhar A. Mohammed, Alaa A. Khalaf, Nooruldeen A. Noori

Baghdad Science Journal

Improving the statistical and predictive accuracy, especially of the data on natural hazards, is important in addressing these issues. Therefore, policymakers urgently need a reliable forecasting methodology that provides decision-makers with early estimates of future and resulting healthcare expenditures based on historical time series data, so that they can assess potential risks. Researchers in the field of time series face the problem of choosing the best model for analysis from among several available models. Hence, this study compares the most effective model between a time series structure and a neural network model. Therefore, this research compares the predictive performance of …

A Study Of The Atangana Baleanu Fractional Differential Equation With An Application In Gas Dynamic Problem, Amjad Shaikh, Shashikant Waghule, Dinkar Patil, Kottakkaran Sooppy Nisar

Baghdad Science Journal

This article presents an analytical approximation for the nonlinearity of the fractional order gas dynamics equation in both homogeneous and nonhomogeneous cases, with a particular emphasis on shock fronts. The approach utilizes the fractional differentiation operator proposed by Atangana and Baleanu. By employing this operator, an approximate solution for the fractional order gas dynamic equations in scenarios involving shock fronts is derived. The solution process primarily involves an iterative procedure that leverages the Laplace transform for numerical computations. The use of the Laplace transform minimizes round-off errors, resulting in a solution that is both precise and straightforward to implement. The …

Attention-Based Binary Question Answering Using Hybrid Of Bi-Lstm And Bi-Gru, Nada Fadhil Mohammed, Israa Hadi Ali

Baghdad Science Journal

Question Answering (QA) is a crucial aspect of Natural Language Processing (NLP) and information retrieval systems. Users usually hope to help with everyday life by teaching the program how to answer questions like a real person. QA aims using NLP techniques to generate a correct answer to a given question according to given context or knowledge on the massive unstructured corpus). Binary question answering (Binary QA) involves providing binary answers (yes/no, true/false) to questions posed in natural language. With the development of deep learning over the years, deep learning technologies have played a pivotal role in advancing the state-of-the-art in …

Creation Of Bacteria In Tongue Diagnosis Based On Fractal Methods, S. Pavithra, G. Jayalalitha

Baghdad Science Journal

Bacteria play a vital role in helping with digestion and protecting against harmful infections. However, the Gram-negative bacteria in Tongue will have some disadvantages in the human body. These can be diagnosed by employing the fractal concept. Bacteria's irregular shape and Complex nature can be quantified using fractal dimensions that exhibit self-similarity at different scales. The fractal measurement procedure deliberates the dissimilarity and surface complexity of the tongue-inclusive spot on the tongue. An image of the tongue is analyzed by the HarFa Fractal Method. The Sobel improved Box counting Method is employed to enumerate the outgrowth of Bacteria in Tongue. …

Enhancing Feature Selection In Network Intrusion Detection Systems Using A Novel Hybrid Binary Swarm Algorithms, Maher Khalaf Hussein, Asmaa Alqassab, Lubna Thanoon Alkahla

Baghdad Science Journal

An intrusion detection system (IDS) is a system that monitors network traffic for any mistrustful activity and issues alerts when it is detected. The selection of feature stage is important in effective intrusion detection systems, as it determines the features that are most influential in detecting normal traffic and malicious traffic. In this study, new proposed hybrid method for selecting features in intrusion detection systems based on the hybrid binary Salp Swarm algorithm (SSA) and the binary Pigeon Inspired Optimizer (PIO), inspired by the collective behavior of animals. The proposed method removes unnecessary features and increases the number of features …

The Effect Of Qber Estimation On The Efficiency And Security Of Quantum Key Distribution, Sufyan Al-Janabi

Baghdad Science Journal

Quantum Key Distribution (QKD) is a prominent solution to achieve proven secure data transmission between legitimate users despite any assumptions about the eavesdropper's computational power (given that the laws of quantum mechanics are correct). This remains true even under attacks by quantum computers. In recent years, there has been a great research interest in developing enhanced security constructions based on QKD. This is mainly driven by the envisioned threats of quantum computers to the traditional information security infrastructure based on public key cryptography. This research lies under the wide umbrella of the so-called post-quantum cryptography. However, for any QKD protocol, …

Performance Of Cnn And Lstm Model On Covid-19 News Headline Data Classification, Dian Kurniasari, Luthfia Nur Azizah, Purnomo Husnul Khotimah, Warsono

Baghdad Science Journal

During the COVID-19 pandemic, mass media, especially online news portals, have been essential in disseminating health information and governmental policies, serving as the primary reference for the general public. Unfortunately, not all news articles are relevant to COVID-19 case monitoring. Some sources provide information that is less useful for tracking the pandemic's progression. Thus, it is crucial to develop a methodology that allows news articles to effectively aid stakeholders in monitoring COVID-19 developments. This study proposes using Deep Learning (DL) models to classify news headlines for this purpose. The aim is to identify suitable and reliable DL models for classifying …

A Study On Machine Learning Based Parkinson Disease Prediction, Suparna Dasgupta, Soumyabrata Saha, Pronay Pal, Shilarchana Maiti, Sudarshan Nath

Baghdad Science Journal

Parkinson's Disease, a neurodegenerative disorder, is one of the major chronic health issues in the world. It causes a severe disorder that affects majorly muscle control but it can also be the reason of affecting senses, cognitive ability and cognitive health. Approximately, 90% of the Parkinson affected people face speech difficulty. Conventional diagnosis methods may be biased which may result in wrong diagnosis of Parkinson's Disease because symptoms are usually elusive. This study aims to assess how well different machine learning algorithms can predict Parkinson's disease using vowel phonation data, with the goal of early detection and more accurate patient …

Enhancing Fetal Health Assessment Using Machine Learning And Xai Techniques, Niaz Ashraf Khan, A. M. Saadman Rafat

Baghdad Science Journal

Fetal health assessment is crucial for ensuring the well-being of both mother and fetus during pregnancy. Accurate monitoring can reduce child and maternal mortality rates, particularly in low- and middle-income countries where these rates are higher. This research aims to enhance fetal health classification using advanced machine learning techniques and Explainable Artificial Intelligence (XAI) to address the gaps in predictive accuracy and model transparency. A dataset of 2,126 records with 22 features from Cardiotocography (CTG) readings. The dataset was balanced using Synthetic Minority Over-sampling Technique (SMOTE) to handle class imbalances. Various machine learning algorithms, including LightGBM, XGBoost, and Random Forest, …

The Effect Of Environmental, Social, And Governance (Esg) Performance And Capital Structure On Firm Value In Manufacturing Companies Listed On The Indonesia Stock Exchange For The 2019–2023 Period, Aliea Yenemia Putri, Citra Sukmadilaga, Adisti Gilang Cempaka

Journal of Accounting Auditing and Business

This study aims to analyze the effect of Environmental, Social, and Governance (ESG) performance and capital structure on firm value in the manufacturing sector listed on the Indonesia Stock Exchange (IDX) for the period 2019–2023. ESG performance is measured using individual and combined scores from LSEG Datastream (Refinitiv). Capital structure is proxied by the Debt-to-Equity Ratio (DER), while firm value is measured using the Tobin’s Q ratio. This research adopts a quantitative approach using panel data regression analysis. The sample consists of 20 manufacturing firms selected through purposive sampling. Control variables include firm size, profitability (ROA), and macroeconomic factors such …

Theory And Engineering Practice Of Coal-Water Coordinated Mining Based On Constraints Of Formation Bearing Capacity, Pang Zhenzhong, Zeng Yifan, Han Keyao, Wu Qiang, Liu Shouqiang, Hua Zhaolai, Zhao Gangyi, Zhang Shuai, Yang Huxiong, Wang Xuejun, Li Feifan

Coal Geology & Exploration

Background The high-intensity mining of coal resources in the Yushen mining area has caused negative environmental effects and water disasters on coal seam roofs, seriously restricting the sustainable development of the area.Methods and Results Based on a summary of previous research results on the mitigation of the impacts of coal mining on groundwater resources and surface ecosystem, this study analyzed the contradiction between coal mining and the protection of the fragile ecosystem in the Yushen mining area in Shaanxi Province through theoretical analysis, field investigation, and data statistics. Then, it systematically illustrated the concept of the formation bearing capacity …

Impacts Of Boundary Conditions And Parameter Heterogeneity On The Simulation And Prediction Of Water Inflow In Coal Mines, Ji Qiang, Wu Zhenjiang, Yao Yingying

Coal Geology & Exploration

Background Accurate prediction of water inflow in coal mines is essential for ensuring safe mining operations. Three-dimensional (3D) groundwater numerical models can be used to characterize hydrogeological conditions in mining areas and simulate the dynamic processes of water inflow, providing a theoretical basis for scientifically predicting mining-induced water inflow. However, there is a lack of a clear understanding of the impacts of the boundary conditions with surface water-groundwater interactions and the heterogeneity of aquifer permeability coefficients (K) on the simulation and prediction of water inflow during coal mining. Methods This study developed a 3D transient groundwater numerical model …

An Experimental Study On The Seepage Characteristics Of Sandstones With Different Numbers Of Fractures Before And After Grouting, Chen Juntao, Zhou Haoyu, Yu Junjian, Li Guo, Fan Mingjin, Li Lu, Wang Yunhao

Coal Geology & Exploration

Background Grouting in surrounding rocks serves as a conventional approach to controlling disasters in coal mine roadways. The developmental degree of fractures significantly influences the reinforcement and sealing effects of grouting. Methods To determine the changes in the impermeability of fractured surrounding rocks before and after grouting, this study investigated sandstones—the most common sedimentary rocks in coal mines. Using laboratory experiments and numerical simulations, this study explored the permeability variations of sandstone specimens with varying fracture numbers under different confining pressures and assessed the impact of grouting on their seepage performance. Through triaxial compression-seepage experiments using a Rock Top multi-field …

Impact Of Prostate Volume On Dose Fall-Off And Organ-At-Risk Exposure In Vmat For Prostate Cancer, Zhikang Jiang

Masters Projects

Prostate cancer remains one of the most prevalent malignancies among men, with radiotherapy, particularly VMAT—playing a central role in its management. VMAT allows for highly conformal dose delivery, but treatment planning must strike a careful balance between achieving steep dose gradients around the prostate and minimizing radiation exposure to nearby organs at risk (OARs), such as the bladder and rectum. This study aimed to evaluate how prostate volume influences dose fall-off characteristics and OAR dose exposure in VMAT treatment plans, providing insights into optimizing radiotherapy for patients with varying prostate sizes. A retrospective analysis was conducted on 50 prostate cancer …

Summary Of Taxonomy Changes Ratified By The International Committee On Taxonomy Of Viruses (Ictv) From The Bacterial Viruses Subcommittee, 2025, Dann Turner, Evelien M. Adriaenssens, Rudolf I. Amann, Pavol Bardy, Nina Bartlau, Jakub Barylski, Stanislaw Błażejak, Majid Bouzari, Ariane Briegel, Yves Briers, Daniel Carrillo, Xia Chen, Dennis Classen, Ryan Cook, Marco A. Crisci, Arnaud Dechesne, Paulina Deptula, Bas E. Dutith, Bert Ely, Lars Fieseler, Et. Al.

Faculty Publications

This article summarises the activities of the International Committee on Taxonomy of Viruses Bacterial Viruses Subcommittee, detailing developments in the classification of bacterial viruses. We provide here an overview of all new, abolished, moved and renamed taxa proposed in 2024, approved by the Executive Committee, and ratified by membership vote in 2025. Through the collective efforts of 74 international contributors of taxonomy proposals in this round, 43 ratified proposals have led to the creation of one new phylum, one class, four orders, 33 families, 14 subfamilies, 194 genera and 995 species. These proposals mark significant progress in refining the taxonomy …

Impact Of Food Insecurity Resource Navigation For Primary Care Patients With Diabetes And Hypertension: A Matched Cohort Study, Deeksha Gupta, Darin Thomas, Stella Self, Edward A. Frongillo Jr. Ph.D., Alain H. Litwin, J. Alex Ewing, Lynnette Ramos-Gonzalez, A. Carolina Rudisill

Faculty Publications

Background

Food insecurity contributes to poor health and increased healthcare costs among patients with chronic diseases. Resource navigators can facilitate community-based resource connections, addressing food insecurity, but the impact on healthcare costs and quality of life remains unclear.

Objective

To examine whether food insecurity resource navigation improves clinical outcomes, healthcare charges, and quality of life for patients with diabetes and/or hypertension.

Design

Matched-control quasi-experimental study.

Patients

Patients underwent screening for food insecurity from July 12, 2021, to December 31, 2022, in South Carolina’s largest health system. Eligible patients (18 + years, having food insecurity, and diabetes and/or hypertension) enrolled for …

Can We Train Bots To Negotiate Like Lawyers? And What Do We Learn About Bargaining As We Do?, Dwight Golann

Suffolk University Law School Faculty Works

Forthcoming in 79 Wash. U. J. of Law and Policy ____ (2025)

AI “bots” like ChatGPT can negotiate without training, but they are overly cooperative, making concessions that weaken their bargaining position—unlike skilled legal negotiators, who adapt their tactics to individual situations as well as what occurs in the process and move as needed between cooperative and competitive tactics.

The article explores how to train bots to “negotiate like lawyers” by giving them role instructions, knowledge about bargaining, and iterative practice, including step-by-step instructions to create a bargaining bot in ChatGPT.

The author notes that texts on negotiation, and his …

Speed Endurance Training Using Artificial Intelligence Techniques (Polar H10) And Its Effect On Selected Components Of Physical Fitness And Tactical Behavior, Akram Hussein Jabir Al-Janabi, Mustafa Jasim

Modern Sport

The regulation of training loads, particularly for speed endurance, is crucial for optimizing physical fitness in football players. This is achieved by balancing external load components such as intensity, volume, and rest with internal load, as measured by heart rate. Such regulation has a precise impact on the level of specific physical fitness. This study focuses on the regulation of speed endurance training during the specialized preparation period, using artificial intelligence to assess its effects on selected physical fitness components and tactical behaviour in football players. The study utilizes Polar H10 sensors, which function effectively under various environmental conditions and …

Assessment Of Condylar Shape In Different Angle Classification Of Malocclusions Among Iraqi Subjects Through Orthopantomography, Lamia H. Al-Nakib, Resha Jameel Abdulsaheb

Hilla University College Journal For Medical Science

Background: Changes in occlusion are necessary to be taken into consideration for their importance as a causative factor for variability in the structural morphology of mandibular condyles which in turn may cause internal disorders of the Tempromandibular joint. Objectives: to investigate the relationship of different Angle classification Cl I, Cl II, Cl III, on the trabecular structure of the mandibular condyles shape through Orthopantomo-graphy and demonstrate the most prominent shape in relation to angle classification. Material and Methods: A retrospective study in which 4000 condyle process were examined using Orthopantomograph (OPG). The patient sample was divided into three groups …

Concept Of Marginal Fit Accuracy Of A Single Crown Prosthesis Using Conventional Impression Techniques And Intra-Oral Scanner, Ali Jawad Kazem, Lateef E. Alwan Al Jorani, Abdel-Kareem J. K. Al-Azzawi

Hilla University College Journal For Medical Science

The goal of this work is to carry out a systematic review to assess the evidence about the potential advantages and accuracy of the marginal ridge of digital impression techniques in comparison to traditional impression techniques. A comprehensive search was conducted through the following databases to find publications that contrasted electronic impression techniques with traditional impression techniques: Cochrane Central Register of Controlled Trials, Web of Science, and PubMed. Free-text terms, a restricted vocabulary, and well-defined inclusion and exclusion criteria were all used in the search. The accuracy of the marginal ridge of fixed zirconia prosthesis in digital impressions is comparable …

Relationship Of A Business Simulation Course To Act Applied Math Outcomes, Brenda Lorraine Savage

Walden Dissertations and Doctoral Studies

Little evidence links the use of business simulations to advances in the higher order thinking skills that high school students need to prepare for careers in finance. The problem for this study was that students in three southern high schools had limited success on the ACT Applied Math Assessment, and there was a need to explore the relationship of a newly implemented stock market trading simulation course to student success on the assessment. Kolb’s experiential learning theory, which was aligned to the simulation activities, guided the study. The purpose of this quantitative predictive study was to determine whether participation in …

Attitudes Toward Seeking Mental Health Services Among Young African American Same-Sex-Oriented Men, Anthony Earl Fox

Walden Dissertations and Doctoral Studies

In 2018 suicide was the second leading cause of death for young people between the ages of 15 and 24 (CDC, 2018). Suicide and other factors like HIV, depression, and oppression may serve as barriers to seeking counseling among African American same-sex-oriented men ages 18-26. Due to a previous gap in the literature regarding barriers to seeking counseling, this study may support counselors in finding ways to address the disparity in counseling utilization among this population. Grounded in queer and social identity theories, the purpose of this quantitative study was to examine if adverse childhood experiences, current civic unrest, HIV, …

Trace Element Migration In Groundwater In Sandstone Aquifers In The Jurassic Coalfields: A Case Study Of The Guojiahe Coal Mine, Shi Longqing, Qu Xingyue, Cheng Hao

Coal Geology & Exploration

Background The Ordos Basin, a vital energy hub in China, contains considerable coal reserves. However, the environmental issues arising from coal mining warrant attention, especially given the fragile ecosystems of the Jurassic coalfields. Methods This study investigated the Guojiahe Coal Mine in Shaanxi Province. Based on measured concentrations of 31 trace elements dissolved in sandstone aquifers across varying geological ages, this study conducted a comparative analysis of the evolutionary characteristics of these trace elements between unmined reducing and post-mining oxidizing conditions using numerical simulations. Accordingly, it revealed the impacts of coal seam mining on trace element migration in groundwater in …

Seismic Anisotropy Of Sandstone Aquifers In Coal Seam Roofs, Yu Hang, Chen Tongjun

Coal Geology & Exploration

Objective The identification and assessment of sandstone aquifers in coal seam roofs play a vital role in the safe mining of mines. Investigating the rock physics and amplitude variation with incidence and azimuth (AVAz) responses of these sandstone aquifers is critical to the prevention and control of water hazards in mines. Methods By integrating rock physical models Voigt-Reuss-Hill (VRH), differential equivalent medium (DEM), Hudson, and Wood, as well as Gassmann’s anisotropic fluid substitution theory, this study proposed a rock physics modeling method for fractured sandstones of the horizontal transversely isotropic (HTI) media type (hereafter referred to as HTI sandstones). Using …

Research On Monitoring And Early Warning Systems For Mine Water: Progress And Prospects, Yin Shangxian, Ding Yingying, Lian Huiqing, Dong Donglin, Du Tong, Yin Huichao, Zhao Peng, Zhang Yi’An, Wang Xiong

Coal Geology & Exploration

Background Water disasters in mines are occasional accidents occurring due to the influence or triggered by mining-induced intense changes in geological bodies. The complexity, heterogeneity, and dynamics of geological bodies, coupled with the random and instantaneous nature of mining influence, lead to the uncertainty, instability, occasionality, and transience of water disasters in mines. Given that mine water monitoring and early warning serve as a prerequisite for advanced disaster prevention and control, their research and system construction hold great theoretical significance and practical value. Progress and Prospects Fighting against water disasters in mines is conducted throughout the development and utilization of …

Experiments On The Diffusion Patterns Of Coal Gangue-Based Grout In Goaves Under Varying Rock Particle Sizes And Grout Mass Fractions, Zeng Yifan, Yuan Zilong, Li Hao, Wu Qiang, Zhao Gangyi, Zhou Anqi, Gao Xiang, Zhang Shuai, Bai Yanfei, Liang Jin, Yang Huxiong, Sheng Xinli, Yang Donghui, Zhao Yixia

Coal Geology & Exploration

Objective Investigating grout diffusion patterns and predicting the grouting range hold great significance for coal gangue grouting and filling engineering in goaves. Specifically, they are significant for designing grouting hole and row spacing, guiding grouting construction, determining the grouting filling degree, and further ensuring grouting effects. Methods Using crushed rocks as the medium to be grouted and coal gangue-based grout as the grouting materials, this study conducted grouting experiments under different particle sizes of crushed rocks and varying mass fractions of grout. Accordingly, it investigated the flow patterns of gangue-based grout in goaves. Results and Discussion Under a mass fraction …