Digital Commons Network^™

Ncaa’S Mental Health Best Practices Still Need Coaching: Perceptions Of Division I Student-Athletes On Strategies And Support Offered By Their Universities, Christopher C. Boyer, Jason Bocarro, Corey Johnson, Austin Thompson-Spain, Lulu Black

Journal of Issues in Intercollegiate Athletics

The NCAA has recognized the growing mental health crisis among student-athletes over the last decade and responded by publishing best practices, passing related legislation, and conducting surveys with student-athletes and coaches regarding mental health. This qualitative study explored the perceptions and insights of 22 Division I student-athletes on current strategies and resources designed to provide the best mental health support to them, along with what they perceive as the barriers or resource deficiencies related to seeking help. This applied research was done in the context of the best practices outlined in the NCAA’s Interassociation Consensus Document: Mental Health Best Practices, …

Game Without A Voice: College Athletes’ Symbolic Participation In Institutional Decisions, Eric G. Kramer, Karina Jolly, Chris Corr, Sarah Stokowski

Journal of Issues in Intercollegiate Athletics

This study examined decision-making by student-athlete advisory committee (SAAC) members within a hegemonic characterization of the National Collegiate Athletic Association (NCAA). Findings revealed that athletes prioritized decisions with tangible, immediate impact – such as mental and physical health and peer support – over broader systemic issues like NCAA legislation. While athletes actively participated in select areas, their perceived influence remained low, particularly within athletic department policy decisions, where findings indicated the greatest gap between participation and desired influence. Such findings reflect a systemic power imbalance that limits athlete agency, reinforced by fears of retribution and structural exclusion from meaningful governance. …

2nd Annual Miners Solving For Tomorrow Research Conference - Graduate Schedule, Antai Dong, Connor Bell, Dennis Dadzie, Joshua Gary, Adebayo Olayinka Oke, Deeshani Mitra, Yejun Kim, Josiah Mcdermott, Samiksha Aryal, Nicholas Benner, Timothy Ennis, Maryam Sharifi Paroushi, Sujan Maharjan, Md Saiduzzaman, Hari Dhital, Manuela Isabel Arenas Alvarez, Eyuel A Getahun, Lucas Greiner, Amaneh Babaee, Shane Cairns, Nazish Khalid, Joseph Walton, Jie Shi, Ehsan Asheghianamiri, Mariam Elazhary, Makuach James Makeny Panther Athach, Rasman Mubtasim Swargo, Shiva Kumar Goud Kasani, Pablo Jara, Sara Mccauley, Hartzell Weston, Al Mojahid Afridi, Matik Heskin, Nima Mahmoudzadeh, Effat Eskandari, Amitav Sen, Rabin Pandey, Amirhossein Habibi, Nuzaer Omar, Mizanur Rahman Jewel, Nathan Tibbetts, Manoj Twarakavi, Farhana Bristy, Akhrorbek Narmatov, Mahnaz Asgari Sooran, Yafang Hei, Nathan Roberts, Khosro Ghorbani Zadeh

Miners Solving for Tomorrow Research Conference

No abstract provided.

Assessing Radon And Radon Progeny Deposition On Simulated Lung Filter System: Effects Of Cigarette And E-Cigarette Use Based On The Icrp Model, Manuela Isabel Arenas Alvarez

Miners Solving for Tomorrow Research Conference

This project investigates the potential interaction between radon exposure and e-cigarette aerosols, focusing on how radon progeny deposit in the lungs under combined conditions. An experimental system was developed to simulate regional lung deposition based on the International Commission on Radiological Protection (ICRP) model. The setup uses a filter-based design and a custom modular atomizer to generate stable aerosols, with four commercial plastic filters evaluated. Initial results demonstrate reproducible filtration behavior and a total deposition pattern matching ICRP predictions within 21% error. Ongoing work aims to improve agreement with regional deposition curves and enable combined radon–aerosol exposure experiments. This platform …

Assessing The Effects Of Scale-Dependent Representation Of River Networks On Hydrologic Prediction, Hari Dhital

Miners Solving for Tomorrow Research Conference

Accurate hydrologic prediction at relevant spatial scales is essential for flood risk management. This study explores how spatial scale affects model parameters and simulation outcomes in the Hillslope Link Model (HLM). This was motivated by HLM implementation within the Next Generation Water Resources Modeling (NextGen) framework for the U.S. National Water Model. Since NextGen alters HLM's spatial scale from hillslopes to catchments, we assess how this change affects runoff generation and routing. We implement HLM at both scales using identical, predetermined parameters without calibration to isolate spatial discretization effects. Using approximately ten years of precipitation and streamflow data from watersheds …

Controlled Gelation Of Co₂-Resistant Polymer Systems For Improved Conformance In Co₂-Eor, Maryam Sharifi Paroushi

Miners Solving for Tomorrow Research Conference

This presentation introduces a CO₂-resistant hydrogel developed to control fluid movement and improve CO₂ injection performance in subsurface reservoirs for Enhanced Oil Recovery (EOR) and Carbon Capture and Storage (CCS). Conventional polymer gels often lose strength in CO₂-rich environments, resulting in weak plugging, early breakdown, and ineffective flow control. To address this limitation, a sulfonated HPAM-based gel system crosslinked with chromium was developed. The effects of polymer concentration, molecular weight, crosslinker ratio, ionic strength, and pH were investigated to better understand gelation behavior and performance. The formulation exhibited controlled gelation, strong resistance to temperature and CO₂, and minimal shrinkage over …

Structural Analysis On Iron Phosphate Glasses After Dechlorination Of Mixed Chloride Waste Forms, Lucas Greiner

Miners Solving for Tomorrow Research Conference

Molten salt reactors (MSRs) require durable waste forms for immobilizing halide-rich salts. This study examines iron phosphate glasses derived from a simple salt mixture (SSM), focusing on the effect of Fe₂O₃ additions (2.5–10 wt%) on structure and phase stability. Intermediates were processed at 300–600 °C and vitrified at 1050 °C. Raman spectroscopy and HPLC show that increasing iron content depolymerizes the phosphate network, shifting from Q² toward Q¹ species and reducing chain length. XRD confirms amorphous behavior for ≤7.5 wt% Fe₂O₃, while 10 wt% shows crystallization, with KFeP₂O₇ observed in samples processed at 400 °C. Despite reduced connectivity, iron enhances …

Robustness Of Fuzzy Artmap To Adversarial Attacks And Progressive Adversarial Training For Streaming Learning, Shane Cairns

Miners Solving for Tomorrow Research Conference

Incremental learners deployed on streaming data must remain robust to evolving adversarial perturbations, yet most adversarial-robustness studies assume offline multi-epoch training with repeated access to historical data. We investigate adversarial robustness in Fuzzy ARTMAP, a prototype-based Adaptive Resonance Theory model that supports single-pass learning without replay. We propose WB-Softmax, a differentiable relaxation that aggregates category-level activations into class-level scores for gradient-based attacks. WB-Softmax PGD achieves 89–100% attack success on vanilla models, exceeding transfer and query-based baselines. We then study adversarial training under true streaming constraints by comparing offline versus online adversarial example generation and standard versus selective updates. Offline adversarial …

The Border Wall Will Be An Environmental Disaster In South Texas, Scott Nichol

Border Wall / Border Security Documents

Article by Scott Nichol argues that the 2006 border fence will severely damage South Texas ecosystems by destroying wildlife habitat, threatening endangered species, and disrupting migratory birds. It also criticizes federal laws that waive environmental protections, allowing the fence to be built with little oversight or public debate.

Statewide Data Sharing: How Kansas Unified 105 Counties For Better Transparency & Efficiency, Ryan Janzen

GIS Technology Conference 2026

Kansas established a platform combining data from all 105 counties, enabling seamless parcel information sharing, including residential, commercial, and sales data. This powerful tool enhances consistency, transparency, and efficiency, providing a model for improving data sharing and valuation processes across multiple jurisdictions. Learn how to implement, optimize, and benefit from a statewide data-sharing system.

Changes In 25(Oh)D Concentration, Bone Resorption Markers And Physical Performance Due To Sun Exposure, Diet And Training Load Among Professional Women Handball Players During The Half-Year Training Season, Sorin Dacian Buhas, Zbigniew Jastrzębski, Paul Florian Dragos, Marius Alin Marinau, Maria Skalska, Mirela Stef, Joanna Jastrzębska, Mihai Sandra, Dana Ioana Cristea

Baltic Journal of Health and Physical Activity

Background: The aim of the study was to demonstrate changes in 25(OH)D concentration, bone resorption indicators and physical fitness in female handball players as a result of their exposure to the sun, diet and exercise load during the six-month training period from mid-March to mid-September, i.e. the time when the sun exposure is the highest during the calendar year. Twenty-two women handball players participated in the study. Due to the random occurrences and exclusion criteria, 20 players completed the project. Biochemical analysis of blood, aerobic capacity, running speed and power tests (Wingate test, squat jump, counter movement jump, etc.) was …

The Hunting Of Leviathan, Samuel Mintz

Hannah Arendt Marginalia - All

Cambridge [England] University Press, 1962.

Call # : B1247 .M5 1962

Contains underlining and marginal lining

PDF Information : 4.3 MB, 12 Pages

There Is Turbulence In The Vuca World: A Path To Learning From The Micro- Environments Of Decision-Makers And Their Leadership Acumen, Bernard L. Simonin, Paul Lambert

Arab Economic and Business Journal

Decision-makers and researchers continue to ponder on how to cope with today’s volatile, uncertain, complex, and ambiguous environments (VUCA). The catch-all expression “it is a VUCA world” has gained popularity while raising some concerns on its applicability. To date, much of the focus has been in association with large-scale events of a negative nature; research has remained mostly conceptual with almost no extensive empirical investigation centered on the fully unpacked VUCA construct. This study examines the interplay between VUCA elements, turbulence, and disruption; it introduces a turbulence diagnostic tool for leadership and explores patterns of variability across types of triggering …

The Philosophy Of Existence, Gabriel Marcel

Hannah Arendt Marginalia - All

London, Harvill Press [1948]

Call # : B819 .M25

Contains underlining and marginal lining  PDF Information: 6 MB, 6 MB

Anti-Inflammatory And Insulin-Modulating Effects Of Tithonia-Curcuma-Moringa (Tcm) Formulation In Type 2 Diabetes: An Experimental Study In Mice, Rif’Atul Hawani Burhan, Nabila Shafa Yumna Salsabila, Devita Zulfa Pratama, La Tazkia Aulia Wibowo, Yulian Ervin Maulana, Moh Dliyauddin, Noviana Dwi Lestari, Agung Pramana Warih Marhendra, Aris Soewondo, Hideo Tsuboi, Muhaimin Rifa’I

Karbala International Journal of Modern Science

Type 2 diabetes is a chronic metabolic disorder characterized by hyperglycemia and chronic inflammation. This study investigated the anti-inflammatory and insulin-modulating effects of Tithonia-Curcuma-Moringa (TCM) formulation in type 2 diabetes model. Male BALB/c mice were divided into six groups: normal control, type 2 diabetes control, metformin treatment, and three TCM formulation treatment groups with three different dose combinations. Type 2 diabetes was induced using a high-fat diet combined with streptozotocin injection, supported by sucrose administration. After 21 days of treatment, the spleen and pancreas were isolated for flow cytometry analysis. The results showed that the expression levels of …

Drd2 Rs6276 Polymorphism And Trait Impulsivity In Individuals With Mixed Behavioral And Substance Addictions, Gabriela Zdunek, Remigiusz Recław, Aleksandra Suchanecka, Krzysztof Chmielowiec, Dariusz Larysz, Patryk Ilków, Kinga Łosińska, Jolanta Chmielowiec, Łukasz Jaworski, Anna Grzywacz

Baltic Journal of Health and Physical Activity

Background/Objectives: Impulsivity is a key transdiagnostic trait linked to dysregulated reward processing in both behavioral and substance-related addictions, as recognized in DSM-5. Dopaminergic genes, including DRD2, may modulate individual differences in impulsivity, particularly under conditions of increased addiction vulnerability. This study examined whether the DRD2 Exon 8 rs6276 polymorphism predicts impulsivity levels in men with mixed addictive behaviors compared with healthy controls. Methods: A total of 328 males (128 with mixed behavioral and substance addictions and 200 controls) were assessed. Diagnoses were confirmed using the MINI interview, and impulsivity was measured with the Barratt Impulsiveness Scale (BIS-11). Genotyping of …

Literature Review Of Local Culture-Based Mathematics E-Module With Islamic Values In Probability, Maya Puspita Sari, Surya Sari Faradiba

Jurnal Pendidikan Sains

This study is grounded in the need to address the limitations of probability learning that is often procedural, decontextualized, and disconnected from students’ cultural and religious values. It aims to develop a comprehensive understanding of how local cultural contexts and Islamic values can be systematically integrated into mathematics e-modules, particularly for probability learning, and to formulate structured design principles and quality indicators for their development. This paper adopts a Systematic Literature Review (SLR) approach by analyzing empirical studies published between 2020 and 2025, using a structured selection process involving identification, screening, eligibility, and inclusion stages. A total of 11 high-quality …

The Effect Of Virtual Laboratories On Students Interest And Learning Outcomes In Spermatophyta At Sma Negeri 1 Sojol, Ismawati Ismawati, Sutrisnawati Sutrisnawati, Manap Trianto, Masrianih Masrianih, Abd Rauf, Musdalifah Nurdin

Jurnal Pendidikan Sains

Limited access to physical laboratory facilities and the abstract nature of Spermatophyta material reduce students’ learning interest and outcomes, necessitating the use of innovative digital learning media such as virtual laboratories. This study aims to analyze the effect of Virtual Laboratory (V-Lab) implementation on students’ learning interest and cognitive learning outcomes in Spermatophyta material at the senior high school level. A quantitative quasi-experimental design with a posttest-only control group was employed involving 66 eleventh-grade students divided into experimental and control classes; data were collected using a learning interest questionnaire and a multiple-choice test, and analyzed using independent samples t-test after …

Exploring The Thinking Processes Of Female Students In Solving Number Pattern Problems Based On Self-Directed Learning, Lailia Maghfiroh, Yayan Eryk Setiawan, Sikky El Walida

Jurnal Pendidikan Sains

Problem solving in mathematics requires integrating conceptual understanding, procedural knowledge, and logical reasoning. This qualitative exploratory case study investigates the intuitive and analytical thinking processes of two female students with contrasting levels of Self-Directed Learning (SDL) in solving number pattern problems. Data were collected through written problem-solving tasks and semi-structured interviews and analyzed descriptively. In this case study, the student with high SDL tends to use analytical thinking, including systematic data organization, strategic planning, and reflective evaluation, while the student with low SDL tends to rely on intuitive thinking, using rapid pattern recognition and prior experience without systematic verification. These …

Development Of Problem-Based Teaching Modules On Linear Systems Of Equations And Inequalities To Improve Mathematical Problem-Solving Skills, Elsya Suharnita, Kartini Kartini, Sehatta Saragih

Jurnal Pendidikan Sains

This study addresses the low mathematical problem-solving competency among Indonesian students, as evidenced by the PISA 2018 results that showed 71% failed to meet the minimum mathematical competency level. This study aims to develop a problem-based learning (PBL) module for systems of equations and inequalities content to improve Phase E students' mathematical problem-solving abilities. Using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model, this study involved expert validation, a small group trial with 12 students, and field implementation using a posttest-only control group design with 24 students in the experimental group and 25 students in the control group. The results …

Augmented Reality In Physics Learning: Trends, Development Patterns, And Instructional Practices From Systematic Literature, Muhammad Musyaddad, Achmad Samsudin, Duden Saepuzaman, Ahmad Aminudin, Nisaul Afifah

Jurnal Pendidikan Sains

This study examines recent developments in the use of augmented reality (AR) in physics education within the evolving landscape of educational technology. The aim is to provide a comprehensive mapping of research trends, pedagogical approaches, and methodological characteristics of AR-based physics learning. Following PRISMA guidelines, a systematic search across four major databases identified 62 eligible studies published over the past five years. The findings reveal a consistent pattern in which AR is primarily used to support conceptual understanding of abstract physics topics, particularly electricity, mechanics, and magnetism, through inquiry-based and laboratory-oriented learning approaches. These implementations are commonly developed using systematic …

Reading Literacy Research Trends In Science Learning (2015–2025), Siwi Handayani, Siswanto Siswanto, Rina Rahayu

Jurnal Pendidikan Sains

This study aims to analyze research trends in reading literacy within science learning from 2015 to 2025 through a Systematic Literature Review (SLR) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The initial screening of 150 articles from the WoS Core Collection and SINTA databases yielded 29 articles that met the inclusion criteria. The analysis focused on publication dynamics, contributing countries, participant characteristics, research variables, and the science subjects investigated. The findings indicate that research on reading literacy in science learning remains limited and shows fluctuating development. Most publications originate from national journals indexed by SINTA, …

Cognitive Conflict In Iconic Visual Representations: Comparing Conventional And Ai Approaches, Endrayana Putut Laksminto Emanuel, Herfa Maulina Dewi Soewardini, Radhitya Duta Pradana, Sikky El Walida

Jurnal Pendidikan Sains

Background of study: The rapid integration of Artificial Intelligence (AI) in higher education has transformed mathematical problem-solving practices, yet it introduces potential discrepancies in students’ visual understanding, particularly in geometric contexts, leading to commognitive conflicts in visual mediators. Aims and scope of paper: This study aims to analyze and compare the sources of commognitive conflict in iconic visual representations when students solve flat shape problems using conventional methods versus AI-assisted approaches. Methods: A qualitative design was employed involving 20 first-year mathematics education students divided into two groups (AI-assisted and conventional). Data were collected through students’ written work and semi-structured interviews …

Proximity-Triggered Context Migration For Generative Ai Sessions Across Heterogeneous Devices, Arpit Goyal

Defensive Publications Series

This publication describes a protocol that enables continuous generative artificial intelligence (AI) sessions by migrating active state-buffers between heterogeneous hardware devices based on spatial awareness. By utilizing proximity-triggered state buffering, cryptographic token sharing, and neural state re-hydration, the system securely transfers the tokenized and contextualized processing state of an ongoing language model conversation from a source device to a target device.

Keywords: generative artificial intelligence, AI session continuity, heterogeneous hardware, active state buffers, large language model, neural state re-hydration, proximity-triggered migration.

A Method To Accelerate Rock Breakage With Soundless Chemical Demolition Agents, Patrick A. Darko, Hani S. Mitri

Journal of Sustainable Mining

Soundless chemical demolition agents (SCDA) are recognized as a safe and sustainable alternative for rock breakage, with the potential to reduce reliance on explosives in mining. However, their mechanical performance is considerably hampered in the extreme cold climate, with slow or no rock fracturing observed. To overcome this deficiency, two methods were developed in recent studies by 1) electric heating the SCDA borehole with high-temperature wire, and 2) increasing the SCDA mixing water temperature. Good results were obtained with both methods. This paper explores the merits of a hybrid approach combining the two methods to further enhance the SCDA efficiency …

Research Status And Development Trend Of Acidification And Permeability Improvement Technology For Low-Permeability Coal Seam, Shaochuan Chen, Yun Lei, Fuchao Tian, Jie Kang

Journal of Sustainable Mining

Low-permeability coal seams in China are often characterized by mineral-clogged pore-fracture systems, severely limiting coalbed methane (CBM) extraction efficiency. Acidification technology, which involves injecting acidic solutions into coal seams to dissolve minerals and enhance permeability, has emerged as a promising approach. This paper systematically reviews the mechanisms, laboratory findings, and field applications of acidification technology for permeability enhancement in low-permeability coal seams. Key findings include significant improvements in pore connectivity, reductions in gas adsorption capacity, and enhanced gas extraction rates post-acidification. Field tests demonstrate that acid fracturing can increase gas extraction volume by 4-7 times. The study also identifies current …

Improving Energy Reliability In Mining Areas Through Modelling And Control Of Resonance Phenomena In Solar-Integrated Power Systems, Yurii Papaika, Gennadiy Pivnyak, Maksim Malyshko, Yuliya Pazynich, Natalia Howaniec, Adam Smolinski

Journal of Sustainable Mining

This study addresses the emergency and operational transient processes that arise when integrating large-scale solar power plants (SPPs) into electrical load nodes, particularly under conditions of limited power system capacity. With the increasing penetration of distributed generation in Ukraine's energy landscape, challenges related to electromagnetic compatibility and harmonic resonance are becoming more prominent. The research builds upon the foundational work of leading Ukrainian scientific schools and focuses on the specific resonance phenomena observed during the operation of solar inverters in medium-voltage networks, especially in regions with high industrial and mining Energy demand. A novel algorithm is proposed for determining the …

Feasibility Study Of Barite Sourcing From Sediments Emerging Due To Treatment Of Waste Water From Coal Mining, Hubert Makuła, Zbigniew Bzowski, Bogusław Michalik

Journal of Sustainable Mining

The accumulation of mine water in settling ponds, which is discharged due to coal mining, allows them to be cleaned out of suspension, and it is the reason for the accumulation of hundreds of thousands of tons of sediments. One interesting mineral enclosed in these sediments is barite, which is considered in the EU as a critical raw material, but it also contains radium originating from formation water.

The effective barite separation and its beneficiation could constitute a win-win solution because then it would be possible to obtain the valuable radium concentrate for further processing, e.g., in nuclear medicine, and …

Wettability Evaluation Via Contact Angle And Data Mining For Enhanced Oil Recovery, Syasya Wadihah Md. Ja’Afar, Bashir Busahmin

Journal of Sustainable Mining

The oil industry has used many enhanced oil recovery (EOR) strategies to increase crude oil production from reservoirs, particularly as production begins to fall. With a significant quantity of hydrocarbon reserves still existing in the reservoirs, improved oil recovery techniques have the potential to increase oil production, with wettability alteration playing a significant role. To date, there has been no comprehensive investigation of wettability in Brunei's sandstone reservoir. The goal of this research is to determine wettability by contact angle measurement and data mining approaches based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. …

Winter School -2026 On Expanding Research Capabilities

Management Dynamics

No abstract provided.