Digital Commons Network^™

Infection By Entamoeba Histolytica Among Children Attending Maysan Pediatric And Maternity Hospital In Amarah City, Ali Idan Al-Musaedi, Ahmed Hussain Rahim

Hilla University College Journal For Medical Science

Background: Most parasites impose some level of damage to their hosts. Factors such as the number of parasites, the site of infection, the size and mobility of the parasite, along with the host's physiological condition and whether it serves as an intermediate or final host, affect the severity of infections in both humans and animals.

Objectives: To determine the prevalence of Entamoeba histolytica infection in children under the influence of some risk factors.

Materials and Methods: A total of 1213 stool samples were collected from children attending Maysan Pediatric and Maternity Hospital in Amarah City, Maysan Governorate, southern Iraq. Microscopy …

Molecular Characterization And Genotyping Of Candida Species Isolated From The Nasal Cavity Of Patients With Nasal Infections In Iraq, Amran M. Al-Erjan, Hind Tahseen Ibrahim

Hilla University College Journal For Medical Science

Background: Nasal infections are commonly associated with opportunistic microorganisms, particularly Staphylococcus aureus and Candida species.

Objectives: This study aimed to molecularly characterize Candida species isolated from the nasal cavity of patients with nasal infections and to determine their phylogenetic relationships using the internal transcribed spacer (ITS) region.

Methods: A total of 88 nasal swab samples were collected from patients aged 1–80 years in Thi-Qar Province, Iraq, between December 2023 and March 2024. Samples were cultured on Sabouraud Dextrose Agar and Mannitol Salt Agar. Yeast isolates were identified phenotypically using CHROMagar Candida and germ tube tests. Molecular identification and genotyping were …

Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Particle physics and nuclear physics are core foundational disciplines for exploring the fundamental structure of matter and the origin of the universe. The deep integration of artificial intelligence (AI) technology is providing entirely new pathways to address systemic challenges such as the processing of massive amounts of multimodal data, the realization of extreme experimental conditions, bottlenecks in theoretical calculations, and the intelligent control of large-scale scientific facilities. The article systematically elaborates on how AI deeply empowers particle physics and nuclear physics, particularly in major application scenarios such as research on the fundamental structure and origin of mass of matter, the …

Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han

Bulletin of Chinese Academy of Sciences (Chinese Version)

Life related processes are characterized by high dimensionality and multi-scale properties. Understanding mechanisms underpinning life processes helps promote national healthcare, agricultural development, sustainable ecological civilization, and national security. Current life science research is confronted with an enormous challenge of dimensionality stemming from data explosion and data fragmentation, for which the recent rapid advancement of artificial intelligence (AI) provides novel solutions. AI will catalyze a paradigm shift in life science research from the current experiment based empirical induction to a new closed-loop knowledge acquisition including large scale data collection, model building, model prediction, experimental validation, and iterative of these procedures. Life …

Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue

Bulletin of Chinese Academy of Sciences (Chinese Version)

The biopharmaceutical industry is a critical domain underpinning national scientific and technological innovation development and public health. With the rapid advancement of artificial intelligence (AI) and its deep integration with the life sciences, biomedicine research is undergoing a paradigm shift from traditional experience-driven trial-and-error approaches to data-driven and predictive validation-based models. This study systematically examines the pathways for reshaping research in biomedicine paradigms under the convergence of data-driven, mechanism-driven, and intelligence-driven approaches. It focuses on recent advances in the application of AI across key stages, including drug discovery and design, druggability evaluation, delivery system design and optimization, nonclinical and clinical …

Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity research, institutional structures, and governance policies are undergoing profound transformations. Currently, increasingly covert and rapidly evolving intelligent attacks, coupled with the national urgent expectations for high-level security, are driving significant shifts in the roles and interactions of governments, research institutions, and enterprises. Consequently, this study, based on analyzing the challenges and opportunities of the AI era, explores core application scenarios such as critical information infrastructure protection, national data security, and the maintenance of cyberspace sovereignty. It provides an analysis of artificial intelligence in dimensions such as correlation and causality, and proposes a governance framework, aiming to provide insights for …

Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as …

Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Remote sensing science and technology, as a key discipline for Earth observation and global change research, faces systemic challenges in processing massive multi-source data, accurately extracting complex information, and delivering high-timeliness application services. The rapid advances in artificial intelligence (AI) provide a new opportunity to address the deep-seated dilemma in remote sensing of being “data-rich but insufficient in effective information mining”. Guided by a problem-oriented approach, this study first systematically analyzes the core challenges facing the development of remote sensing across four dimensions: data understanding, technical methods, scientific mechanisms, and application ecosystems. It then reviews the technical evolution of AI-empowered …

Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep Earth science is central to understanding Earth’s internal architecture and the coupled evolution of its major spheres, while also underpinning energy security, the supply of critical mineral resources, and resilience to major geohazards. Nevertheless, the advancement of deep Earth science is currently hindered by insufficient in situ observations under extreme conditions, the difficulty of integrating multi-source heterogeneous data, and the limited capability to model complex multiphysics coupling processes. Recent advances in artificial intelligence offer a potential route beyond these limitations. By integrating data-driven learning with physical and geological understanding, AI is reshaping deep Earth science from empirical interpretation to …

Building Basic Research Ecosystem To Consolidate Foundation Of Strong Nation, Xin Fang, Ke Wen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Basic research is the source of the entire scientific system and the master switch for all technological problems. This study systematically reviews the evolution of the connotation and functions of basic research, and explores the new characteristics of basic research development triggered by the paradigm shift of AI for Science (AI4S): the shift of activity subjects from human‑dominated to human‑machine collaboration, the comprehensive restructuring of organizational models, the increasingly prominent strategic value of public intelligent research infrastructure, and the growing urgency to coordinate security and governance institution building. Addressing the demands of the new era, the study proposes principles and …

Deep Learning Processor: Road To Fundamental Research On Ai Chip, Yunji Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep learning processor chips serve as an important computation foundation for the artificial intelligence industry, thus has attracted widespread attention from the international communities. The Institute of Computing Technology, Chinese Academy of Sciences took the lead in initiating fundamental research on deep learning processor chips in 2008. At that time, this research direction had not yet entered the mainstream vision of the international communities, with its academic value and development laws yet to gain widespread recognition, and it was confronted with the challenges of three fundamental scientific issues concerning its significance, principle, and architecture.To address the above issues, the research …

Quality Improvement Project: Implementation Of The Patient Health Questionnaire-9 Modified For Teens, Hedy Gerber, Leah Buchko, Jennifer Van Winkle

All Faculty and Staff Scholarship

Background: Adolescent depression is a prevalent and significant public health concern, strongly linked to increased suicidality, poor health outcomes, impaired psychosocial functioning, and substantial societal costs. Although measurement‑based care using validated screening instruments is recommended by clinical practice guidelines, routine use of standardized depression screening tools remains limited in mental health settings.

Objective: The purpose of this quality improvement project was to assess the impact of implementing the Patient Health Questionnaire-9 modified for teens (PHQ-9M) in depression screening rates among adolescents aged 11-17 years at an outpatient mental health clinic in Southern Colorado.

Methods: A quantitative, quasi‑experimental pre- and post-intervention …

Effects Of A Peer Mentoring Program For Adolescent Newcomers On Feelings Of Peer Connectedness And School Belonging, Eden Elizabeth Moon Barnhill

Theses and Dissertations

There is a significant lack of empirical evidence regarding the effectiveness of peer mentoring to support newcomer students, particularly for refugee populations. This study evaluated the effects of a peer mentor program for newcomer students on their feelings of peer connectedness and school belonging in a high school setting. Participants were made up of 15 newcomer student mentees across three high schools. Measures were administered pre- and post-intervention, and participants were also interviewed about their experience. Results indicated no quantitative findings of significance but did yield a small positive effect size for peer connectedness. According to qualitative data, many participants …

Service Providers' Descriptions Of Survivors' Experiences With Mental Health Treatment, Melanie Gonzales Puente

Theses and Dissertations

Human trafficking survivors experience significant mental health challenges and barriers that limit their engagement towards treatment. A qualitative study was conducted that included semi-structured interviews of 33 professionals working with survivors of human trafficking in the United States. Findings indicate that survivors' engagement in treatment is limited by mistrust of providers, stigma, and a lack of access to services. Providers emphasize that addressing basic needs (e.g., safety and housing) must occur before engaging in trauma-focused therapy. Positive outcomes are associated with strong therapeutic relationships, autonomy, trauma-informed, individualized care, and offering comprehensive services. Furthermore, mental health providers should have certain abilities …

2026-06-20 Commencement Struggle Prompts Outcry Over Palestine And Treatment Of Muslim Students, Dylan Berman, Tristan Scott

The Spectator Online

No abstract provided.

From Unfinished Sentences To Unfinished Degrees: A Reflection On Students’ Struggles With Academic Writing In The Context Of Retention In Higher Institutes Of Education, Irina Ruppo

Irish Journal of Academic Practice

This article explores the experiences and beliefs of students whose struggles with academic writing had led to contemplation of withdrawal from the university. It proposes that the absence of writing as a separate factor in existing retention models obscures the importance of writing issues to students’ persistence with their chosen course of study. Through a qualitative analysis of in-depth interviews with undergraduate students, the article suggests that students’ struggles with writing may be distinct from their overall difficulties with the workload. Four beliefs about academic writing are identified as potentially contributing to the students’ malintegrative experience within the institution. Seeing …

Disaster Preparedness, Prevention And Management In Lagos State University Library, Mausi A. Bokoh, Sophia V. Adeyeye Dr, Oluwaseun Adeola Abiodun-Asanre, Mrs

Library Philosophy and Practice (e-journal)

Disasters pose significant threats to human lives, infrastructure, and national socioeconomic development. Effective disaster preparedness, prevention, and management are therefore vital for mitigating their impact and ensuring continuity of operations. This study examined disaster preparedness, prevention, and management practices at Lagos State University Library. A survey research design was adopted, and data were collected through a structured questionnaire covering key aspects of disaster management. Frequency counts, percentages, mean, and standard deviations were used to analyze data.  The findings revealed that the library employs basic preventive strategies such as turning off electricity after work hours and ensuring timely evacuation during emergencies. …

Ucedd Innovations Lead To Idd Networks’ Driving Change: Envision, Empower, Employ, Suzzanne Freeze, Jean Winsor, Brittany M. Powers, Amy Huppi

Developmental Disabilities Network Journal

State systems responsible for administering employment services and supports to people with intellectual and developmental disabilities (IDD) must acclimate to changing demands, address new regulations, and continue to meet needs in an era of high workforce turnover and uncertain funding. While improvements have been made across the U.S., there are still far too many individuals seeking meaningful employment and contributory roles in the community who are not supported to achieve those goals. A key success factor is providing publicly funded state systems with the information needed to strategically pivot toward priorities and ensure smooth transitions of organizational change. Our country’s …

Factors Influencing Tourist Interest In Walking Tours In The Kota Tua Area, Novi Handayani, Adrian Hartanto

Journal of Indonesian Tourism and Policy Studies

This study aims to analyze the extent to which the variables of Attraction, Accessibility, Cost and Tarif, Facilities, and Information contribute to Walking tour Interest, both individually (partially) and collectively (simultaneously).  As previous research states that Indonesia has one of the lowest levels of mobility. The average Indonesian walks only 3513 steps per day, while the recommended daily step count for maintaining good health is 5000. This study uses Multiple Linear Regression Analysis as its analysis method using partial hypothesis testing (t-test) and simultaneous hypothesis testing (f-test).. Data were collected through an online questionnaire distributed via Google Form to …

Decarbonizing Electrical Substations: An Integrative Review Of Green Technologies And Sustainable Practices Across The Infrastructure Life Cycle, Sulthan Syah Ali, Mohammed Ali Berawi, Mustika Sari

Smart City

Decarbonization of electrical infrastructure s becoming increasingly important in efforts to meet climate change mitigation targets, particularly in reducing emissions from substations. However, conventional substations continue to release significant quantities of GHG emissions throughout their life cycle As an example, a typical 500 kV substation emits around 150,000 tCO2e from construction to decommissioning. In addition, the development of green substation concepts remains limited, particularly in Indonesia where standardized approaches are not yet established. In response to the need for more sustainable power infrastructure, this study aims to identify, classify, and review all types of green technologies, practices, and innovations that …

Relay Selection And User Scheduling In Reconfigurable Intelligent Surface Assisted Millimeter-Wave D2d Communication, Lakshmikanta Sau

Doctoral Theses

Reconfigurable intelligent surface (RIS) assisted millimeter wave (mmWave) device to device (D2D) communication has recently been proposed as a viable solution to support the overwhelming data traffic in fifth-generation (5G) and beyond wireless networks. However, due to the substantial propagation and penetration losses of mmWave, a direct line of sight (LoS) link between a pair of proximity devices is required for effective communication. Static obstacles like trees and buildings can easily obstruct the direct LoS connectivity between a device pair. In such cases, RISs help to establish an indirect LoS link between an obstructed device pair by reflecting the signals …

Patient Perspectives On Telehealth In Routine Diabetes Follow-Up Care: A Qualitative Focus Group Study Of Adults With Type 2 Diabetes, Diamant Gashi, Meagen Rosenthal

Posters

Background: Type 2 diabetes is a common chronic condition in the United States and requires ongoing follow-up to monitor glycemic control, review laboratory results, adjust medications, and address self-management needs. Telehealth has become an increasingly common component of diabetes care, yet its role in routine follow-up remains underexamined. Existing qualitative studies highlight both benefits, such as convenience and reduced travel, and limitations, including challenges with physical assessment and sharing home monitoring data. However, less is known about how adults with type 2 diabetes determine where telehealth fits within the practical realities of routine follow-up care. Objective: To explore how adults …

Moving Inclusive Design From Theory To Practice: A Reflective Teaching Approach Using Empathy-Based Accessibility Activities, Adriana Del Monaco-Shepherd

Staff Scholarship - Australia & Dubai

This reflective teaching practice explores the use of empathy-based learning activities to support UX Design students in developing a deeper understanding of accessibility and inclusive design.

While accessibility principles and standards were introduced within the curriculum, I observed that students often understood accessibility as a set of requirements rather than a human-centred design responsibility. Their design outcomes demonstrated strong visual creativity but sometimes overlooked important accessibility considerations such as colour contrast, content hierarchy, navigation clarity, and inclusive communication.

To address this gap, I designed two short experiential activities that encouraged students to experience accessibility barriers firsthand. The first activity used …

Teacher Retention: Do Job Satisfaction, Support From Administrators, Professional Development Opportunities, Student Behavior, And School Culture Directly Affect Whether A Teacher Decides To Stay At A School Or Leave?, Robert Dawson Parrott

Education Theses and Dissertations

Teacher retention has reached crisis levels nationwide, with nearly 50% of beginning teachers leaving within five years. Teacher attrition increased to 27.3% in 2022–2023 in a large suburban school district in North Texas. This translated to over $1.1 million dollars in teacher salary expenditures alone. This Dissertation in Practice utilized mixed-methods research grounded in Improvement Science and Plan-Do-Study-Act cycles to explore five campus-level contributors to teacher retention that fell under the control of building-level administrators: job satisfaction, administrative support, professional development, campus culture, and student behavior supports. In Phase 1 a teacher intent survey (n = 63) and focus group …

Across Borders, Across Cultures: A Quest For Health And Well-Being Portfolio, Carrington Connor

UN SDG Open Pedagogy Faculty Fellowship: Renewable Assignments

No abstract provided.

Examining The Influence Of Job Demands And Resources On The Psychological Well-Being Of Arkansas Teachers, Amy C. Erstine

Student Theses and Dissertations

Teachers across the United States are experiencing declining psychological well-being due to increasing job demands and insufficient workplace resources. In Arkansas, this imbalance contributes to burnout, attrition, and persistent teacher shortages, affecting not only educators but also students, schools, and communities. Job resources are positively associated with well-being, whereas job demands are negatively associated with well-being. Understanding the job resources and demands influencing teacher well-being is critical to sustaining a stable and effective teaching workforce. The purpose of this non-experimental and predictive study was to examine the influence of job demands and resources on the psychological well-being of currently licensed …

The Influence Of Leadership Styles On Teacher Motivation And School Climate In Urban Schools From Three South-Central Region States, Jennifer L. Thomas

Student Theses and Dissertations

This phenomenological study explored how leadership styles influenced teacher motivation and school climate across three Southern South-Central region states. Through an analysis of 15 interviews, the research explored teachers' lived experiences and interactions with administrators that shaped their motivation, work efficacy, sense of value, and emotional well-being. Three states served as the data pool for the study: Arkansas, Texas, and Tennessee. Seven themes emerged related to motivation and school climate: Teacher Voice, Support, Empowerment, Relational Confidence, Feeling Valued, Emotional Safety, and Building Community. These themes illuminated how leadership behaviors can either strengthen or hinder teachers’ professional commitment, instructional effectiveness, and …

Exploring Teachers' Perceptions Of The Influence Of Social Emotional Competencies On Virtual Students' Academic Success, Melanie Cheyanne Spence

Student Theses and Dissertations

The problem addressed in this study is that the effects of Social Emotional Learning (SEL) competencies on academic achievement for virtual learners in a Grades 5-8 classroom are not well known. The purpose of this qualitative narrative study was to explore teachers’ perceptions of how the practice of SEL competencies by students influence their academic success in a virtual Grades 5-8 classroom. This qualitative narrative inquiry was based around Social Emotional Learning (SEL), a conceptual framework identified by CASEL as including five competencies: self-awareness, self-management, social awareness, relationship skills, and responsible decision-making. The target audience was educational stakeholders who are …

Social Media And Health Information Sharing In Nigeria: Trends In Weight Loss And Cosmetic Procedures, Victoria Ochanya Agbo

Student Theses and Dissertations

This study examines the role of social media in facilitating (mis)information on weight loss and cosmetic surgeries in Nigeria. Utilizing the Elaboration Likelihood Model (ELM), the study examines information shared by influencers, audience engagements with such messages, and the factors influencing audience receptivity of the messages. Using a qualitative design, a thematic analysis was conducted on influencer posts and audience responses to such posts across major social media platforms. The findings show that influencers frequently framed cosmetic surgery and weight loss as aspirational lifestyle choices and downplayed the medical risks using means such as testimonials, visual transformations, and authenticity cues. …

"Using A Sledgehammer To Crack A Nut" A Proposal To Re-Frame The Media Industry's Perspective On Generative Ai, Reace Barnett

Student Theses and Dissertations

Generative Artificial Intelligence (GenAI) continues to be a divisive topic in the media industry and there are concerns about technical challenges that may affect GenAI’s trustworthiness and reliability. As such, fears of degraded public trust in media products and services have arisen, and while we have a tendency to trust machines, it is clear that public attitudes toward automated decision-making are contentious. Previous research on machine cues found that they are associated with increased perceived objectivity and willingness to disclose information. Conversational GenAI may reduce political polarization, yet many people remain worried about risks such as bias, hallucinations, improper attribution, …