Digital Commons Network^™

Missions Upside Down, Jennifer Vermeer

The Voice

No abstract provided.

Using Facebook To Discuss The Science Of Reading, Erica Barnes, Jaime Puccioni, Abigail Ferris

The Language and Literacy Spectrum

Students in U.S. elementary schools continue to experience difficulty learning to read, with some attributing these difficulties to a lack of alignment with the Science of Reading (SOR). Social media plays a prominent role in disseminating information about the SOR, serving as a platform for discussion and debate that reflects many tenets of effective online professional development (OPD). The current study examines how one group of educators on social media sought out and discussed information related to the SOR. Content analysis was utilized to determine how contributors engaged with the group and what pedagogical content knowledge and SOR topics were …

Supporting The “Feelings And Language Of Thinking” And Meaning-Making In Elementary Student-Directed Inquiry Projects, Katarina N. Silvestri

The Language and Literacy Spectrum

This qualitative study investigates how three teachers attend to and pedagogically support socioemotional aspects of fifth-grade students’ learning during student self-directed inquiry projects called the Kids Inquiry Conference (KIC) using Spradley’s domain and taxonomic analyses of classroom observation and interview data. Theoretical underpinnings meet at the intersection of affective neuroscience, socioemotional competencies, and a Deweyan perspective of inquiry learning, emplacing this study within literature exploring the range of affective factors impacting elementary learners engaged in student-centered inquiry projects (e.g., identity work, motivation, self-regulation, etc.). KIC involved students self-selecting and developing research questions, designing a science activity, writing up a scientific …

Strategic Considerations For Integrating Digital Technology And Literacy Learning, Christine N. Green

The Language and Literacy Spectrum

In an era of rapidly advancing technology, integrating digital tools into literacy instruction has become a vital component of effective educational practice. This article presents findings from a case study examining how digital technology was incorporated into the literacy block of a first-grade classroom. Through sixteen hours of classroom observation and three teacher interviews, four key strategic considerations emerged for planning literacy activities that utilize educational technology. These activities enriched student learning by encouraging engagement through multiple modes of literacy. These strategic considerations include building digital connections that complement instructional goals, strategically adding digital tools, allowing students to lead, and …

Ai-Based Classification Of Pediatric Breath Sounds: Toward A Tool For Early Respiratory Screening, Lichuan Liu, Wei Li, Beth Moxley

Faculty Scholarship-Nursing

Context: Respiratory morbidity is a leading cause of children’s consultations with general practitioners. Auscultation, the act of listening to breath sounds, is a crucial diagnostic method for respiratory system diseases. Problem: Parents and caregivers often lack the necessary knowledge and experience to identify subtle differences in children’s breath sounds. Furthermore, obtaining reliable feedback from young children about their physical condition is challenging. Methods: The use of a human–artificial intelligence (AI) tool is an essential component for screening and monitoring young children’s respiratory diseases. Using clinical data to design and validate the proposed approaches, we propose novel methods for recognizing and …

On Programmatic Aspects Of The Universality, Parameter, And Recursion Theorems Of Classical Computability, Vladimir A. Kulyukin

Computer Science Faculty and Staff Publications

The Universality, Parameter, and Recursion Theorems are three foundational results of classical computability theory. We show how these theorems can be programmatically illustrated and partially validated in Lisp. Our programs can be used as supplementary materials to texts on theoretical computer science, mathematical logic, or metamathematics.

Modeling Heterogeneity In Cognitive Trajectories In The Framingham Heart Study, Yuan Fang, Jiachen Chen, Jesse Mez, Claudia L. Satizabal, Michael L. Alosco, Wei Qiao Qiu, Margaret F. Doyle, Joanne M. Murabito, Kathryn L. Lunetta

Pharmacy Faculty Scholarship

Introduction: The prevalence of cognitive impairment in the population is growing; however, there is substantial heterogeneity in the rate of decline across different cognitive domains. Harmonized factor scores measuring memory, executive function, and language domains have been created in the Framingham Heart Study (FHS). Methods: This work identified FHS participants with two or more repeated factor scores after age 60 and fitted latent class mixed models (LCMM) to cluster cognitive trajectories within each domain. Non-linear shapes of trajectories were modeled piecewise linearly, followed by stepwise selections to select cluster-specific change points. Results: We identified different latent classes of participants with …

Intraspecific Competition Can Promote Population-Level Specialization, Abdel H. Halloway

Faculty Scholarship

The hypothesis of competitive diversification asserts that increased intraspecific competition will cause a population to generalize in resource use. The reasoning is that as preferred resources are depleted, individuals which use alternative resources become more fit, leading to an overall broadening of resource use. However, recent studies have shown instances of the opposite effect: increased intraspecific competition leading to increased population resource specialization. We explored how intraspecific competition could affect population resource specialization by creating an evolutionary game theoretic consumer-resource model in which individuals have both resource use preference and resource use breadth which are flexible and adaptable. Using this …

Phytoremediation Of Lead Heavy Metals In The Mangrove Ecosystem Of The Lembar Harbor Area, West Lombok Regency, Indonesia, Firman Ali Rahman/Firman, Muhammad Shohibul Ihsan, Dwi Agustini, Ervina Titi Jayanti

Makara Journal of Science

Mangroves play a vital role as bioindicator plants in port areas with the potential for non-essential heavy metal contamination. This study aimed to determine the potential for phytoremediation of lead heavy metal in mangrove vegetation resulting from port operations. The research was conducted in the mangrove ecosystem of Lembar Harbor, West Lombok Regency, West Nusa Tenggara, Indonesia. Substrate, leaf, and root samples were collected using a purposive random sampling technique and analysis for testing the lead heavy metal content using atomic absorption spectrophotometry. The results showed that the average heavy metal content of lead accumulated in the substrate in each …

Advances In Research On Noble Gas As Tracers Of Geofluids And Helium Enrichment, Gao Yu, Liu Quanyou, Zhu Dongya, Wu Xiaoqi, Li Pengpeng

Coal Geology & Exploration

Background Noble gases emerge as significant tools for tracing the sources and evolutionary processes of geofluids due to their chemical inertness and different isotopic compositions across varying reservoirs. Helium serves as a noble gas tracer and a scarce resource, and its enrichment mechanisms and exploration potential have attracted wide attention.Methods Based on a summary of the geochemical data of typical gas reservoirs, volcanic gases, and surface hot springs at home and abroad, this study analyzed the interfering factors and end-member value screening in the source apportionment of noble gases. Furthermore, it summarized the applications of noble gas isotopes in …

Current Status And Future Trends Of Seismic Prediction And Assessment Technology For Coalbed Methane Reservoirs, Wu Haibo, Zhang Pingsong, Xu Shi’Ang, Huang Yaping, Dong Shouhua, Cheng Yan, Li Donghui, Zhang Sheng, Zhang Min

Coal Geology & Exploration

Background The seismic prediction and assessment technology for coalbed methane (CBM) reservoirs has undergone rapid development for over three decades, playing an indispensable role in CBM exploration. Methods This study reviews the development history and current status of core technologies within the seismic prediction and assessment technical system for CBM reservoirs, including seismic-petrophysical tests, modeling and inversion, seismic wavefield simulation, seismic amplitude versus offset (AVO) inversion and seismic attribute inversion, and integrated seismic prediction of the sweet spot areas of CBM reservoir resources and engineering. Furthermore, this study delves into the impacts and limitations of the characteristics of CBM reservoirs, …

Ai-Driven Emi Mitigation For Smart Healthcare: Generative Adversarial Networks And Edge Computing For Reliable Medical Systems, Mona Esmaeili

Electrical and Computer Engineering ETDs

Electromagnetic interference (EMI) from radio frequency (RF) sources poses a major challenge to digital systems, especially in high-electromagnetic environments. Tradi- tional electromagnetic compatibility (EMC) analysis often focuses on continuous wave (CW) interference and overlooks the effects of waveform modulation on EMI coupling. This thesis explores how modulated waveforms influence EMI coupling and introduces a Generative Adversarial Network (GAN)-based classification framework to distinguish between harmful and non-harmful EMI signals. The study extends conventional EMC analysis using machine learning (ML), showing that modulated EMI waveforms can in- crease coupling by up to 27% compared to CW signals. This highlights the need for …

Geochemical Nature Of The Geothermal Water From Lanzhou Basin: Implications For The Genesis Of Shallow Helium-Bearing Fluids, Tang Jianzhou, Wang Shuangming, Zhang Zhicheng, Li Ke, Li Changpeng

Coal Geology & Exploration

Objective and Methods Investigations on the geochemical nature of geothermal water are vital to the comprehension of the origin of helium-rich fluids in shallow basins. To address this issue, this paper reports the results of the chemical analysis, H-O isotopes and ¹⁴C ages from geothermal water and soluble gas components from the well BY-1 in Lanzhou Basin, northeastern margin of Qinghai Tibet Plateau. Chemical analysis of geothermal water samples reveals that the chemical type of geothermal water is NaCl. The show δD value of –78‰, high δ¹⁸O value (–8.7‰), low ³H value (<0.4TU), and old ¹⁴C …

Impacts Of Metakaolin And Fly Ash On The Performance Of Cement-Based Grouting Materials In Anchoring Engineering, Cheng Zhiyuan, Yang Junpeng, Xue Wei, Wei Daidong, Wang Yimin

Coal Geology & Exploration

Objective The filling of grouting materials plays a significant role in ensuring the performance of anchoring structures. This study aims to further enhance the fluidity of grouting materials, reduce their dry shrinkage in the curing process, and ensure complete filling. This will help improve the bonding property between the anchoring body and the rock and soil mass to be reinforced. Methods Using cement as the primary material, as well as fly ash and metakaolin as admixtures, this study designed and prepared 20 groups of binary and ternary mixtures and one control group. Through tests of the fluidity, bleeding ratios, and …

Deep Reinforcement Learning-Driven Decision Support System Design For Precision Agriculture: Optimizing Farming And Resource Use, Qingshan Bai

Turkish Journal of Agriculture and Forestry

This study focuses on enhancing the efficiency of agricultural decision support systems by integrating deep reinforcement learning techniques to optimize the path planning of agricultural vehicles. By decomposing the system into dynamics, action, strategy, reward, and discount factor components, a robust framework is established. A value-based reinforcement learning algorithm is introduced, enriched with policy gradient (PG) methodology to enable continuous and adaptive state-to-action decision-making process. A deep neural network (DNN) was used to approximate the state-action value function, resulting in the innovative DNN-PG-Q-learning algorithm. This algorithm leverages an empirical playback pool to enable efficient and intelligent path planning for agricultural …

Diffusion Mechanisms Of Coal-Measure Helium And Their Implications For Helium Accumulation: A Case Study Of The Taiyuan Formation, Northern Qinshui Basin, China, Ma Yong, Xin Zhiyuan, Chen Jianfa, Li Yuhong, Zhang Xiutao, Jiang Haojie, Chen Zeya

Coal Geology & Exploration

Objective The global helium-rich gas reservoirs are dominated by conventional natural gas reservoirs. In recent years, helium-bearing natural gas has been discovered in the Carboniferous-Permian coal measures in the Ordos Basin and surrounding regions, revealing the resource potential of coal-measure helium. However, there is almost a total lack of studies on mechanisms underlying the diffusion and migration of coal-measure helium. This severely restricts further research on the accumulation patterns of coal-measure helium.Methods This study investigated a coal seam in the Taiyuan Formation in the northern Qinshui Basin and mudstones in the coal seam roof. Using physical diffusion experiments on …

Colloidal Hot-Injection Synthesis Of Cubse2 Nanocrystals: Tetragonal Chalcogenide Templates For Superionic Lithiation Pathways, Yunhao Xu, Niket Powar, Kelly Zervos, Isabella Campbell, Simran Choudhary, Layan Al-Khaled, Progna Banerjee

Chemistry: Faculty Publications and Other Works

Copper boron selenides represent a previously unexplored class of materials with tetragonal structural symmetries and bonding chemistries potentially relevant to lithium-ion conduction. In this work, the first colloidal synthesis of nanocrystalline copper boron selenides is reported, enabling access to nanocrystals with reaction times shown as the synthetic knob to control composition and morphology. Copper boron selenide nanocrystals are synthetically designed as precursors for lithiation reactions aimed at probing structural evolution and ionic mobility pathways toward superionic conductors applicable as solid electrolytes in lithium-ion batteries. Postsynthetic lithiation studies under ambient conditions reveal a series of phase transformations and morphological changes, which …

Human Settlement Environment And Architectural Ecological Design Based On Artificial Intelligence Technology, Mingxing Xu, Xiongjun Tao

Turkish Journal of Agriculture and Forestry

The main purpose of this paper was to use artificial intelligence (AI) technology to improve the coordination between architectural design and the natural environment, so as to optimize resource utilization and reduce negative environmental impacts and improve the quality of human settlements. To do this, multiple types of data covering the environment, buildings, and user feedback were first collected and preprocessed. Based on these data, the long short-term memory model was used to predict future environmental changes, and the particle swarm optimization algorithm was used for multiobjective optimization of architectural design. The experimental results showed that the AI-driven design scheme …

Circular Motion And Thermodynamic Characteristics Of Particles Around A Quintessential Nonrotating Black Hole, Indrajit Halder, Kamal Lochan Mahanta, Rakesh Ranjan Sahoo

Turkish Journal of Physics

This paper investigates the geodesics of the Schwarzschild black hole modified with the quintessence field and modeled as a barotropic fluid with a constant equation of state derived in Boyer Lindquist coordinates with natural units G = c = 1. Hamilton–Jacobi formalization is applied to investigate the geodesics in both static and nonstatic black hole spacetime. It specifically examines the formation of bound orbits of test particles around the black hole, highlighting that these orbits result from the interplay between the gravitational pull of the black hole and a repulsive force associated with quintessence. The thermodynamic properties of a black …

Selecting An Internal Carbon Price For Academic Institutions, Alexander R. Barron, Dimitra Prassa

Environmental Science and Policy: Faculty Publications

Many businesses have adopted internal carbon prices (ICPs) to help drive smarter business decisions, innovation, and emissions reductions. The objective of this white paper is to provide a framework that institutions, particularly those in higher education, can use as they think about selecting a price in the context of their own goals for an ICP.

Second Nature’s recent 2025 Carbon Markets and Offsets guidance recommends that: “colleges and universities develop a climate action strategy that includes some type of internal carbon pricing, either as a mechanism to inform climate-positive decision-making or as a mechanism for generating revenue estimates for decarbonization …

Homework, Households, And Hurdles: The Unexpected Drivers Of Student Graduation Perceptions, Daniel Alhassan, Zahra Fatah, Priscilla Mansah Codjoe, Caroline Bena Kuno, Dorcas Ofori-Boateng

Mathematics and Statistics Faculty Publications and Presentations

Students’ perceptions of their likelihood to graduate are important determinants of their academic engagement, yet these perceptions remain understudied. This study, which is based on the 2021 Monitoring the Future survey of 8th- and 10th-grade students in the United States, uses machine learning algorithms to identify the most important factors that influence these perceptions. Among the tested models, random forest provided the best classification performance. Using permutation-based feature importance, we identified frequent participation in schoolwork, maternal education, paternal education, and homework completion as the most important predictors of students’ graduation perceptions. These results highlight the importance of targeted and well-coordinated …

Quantum Management: A Revolution In The Future Of Management Science And Business Practice, Bartosz Niedzielski

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: The article aims to propose a nominal definition of quantum management and analyze the differences between the classical and quantum paradigms of management, with particular emphasis on their impact on organizational structure and decision-making processes.

Methodology: The article is based on a synthetic literature review concerning the application of quantum theory in management sciences, including publications from bibliometric databases such as Scopus, Web of Science, and Elsevier. The review focuses on the theoretical and practical differences between the classical and quantum approaches to management. Additionally, a comparative method is used to identify key differences between these two …

Precision Crop Yield Prediction Model Based On Deep Learning And Multimodal Data Fusion, Zijin Mo, Yanxiong Wu

Turkish Journal of Agriculture and Forestry

More precise crop yield prediction methods are essential in advancing precision agriculture, ensuring food security, and promoting sustainable agricultural practices. Deep learning technologies have significantly improved prediction accuracy by allowing the analysis of large-scale agricultural datasets. However, existing approaches still face challenges in effectively integrating multisource data, such as meteorological, soil, and remote sensing information, and optimizing model parameters. To address these issues, this study introduces TCGNet, a novel deep learning architecture that combines a time convolutional network (TCN), convolutional long short-term memory (ConvLSTM), and the grey wolf optimization (GWO) algorithm. The TCN is employed for time series analysis, ConvLSTM …

A Comprehensive Review Of Fermentation Technologies In Food Processing: From Traditional To Cutting Edge, Pragati Singh, Niharika Arya, Shalini Sharma, Ankita Sharma, Prasad Rasane, Supriya Singh Gaur, Sawinder Kaur, Mahendra Gunjal, Hasan Kiliçgün, Jyoti Singh

Turkish Journal of Agriculture and Forestry

Fermentation technologies play crucial roles in food processing, offering various advantages, including enhanced flavor profiles, extended shelf life, and improved nutritional qualities. This paper provides a comprehensive overview on the major types of fermentation as well as effects of various factors such as substrate composition, temperature, pH, oxygen availability, and microbial strain selection on the process. Despite its widespread application, traditional fermentation processes face limitations related to yield optimization, contamination risks, and process consistency. Recent advancements have significantly enhanced fermentation efficiency, product quality, and scalability, ultimately expanding the applications beyond food and beverage production into pharmaceuticals, nutraceuticals, biofuels, and waste …

Risk-Sensitive Markov-Perfect Equilibrium, Matthew J. Sobel

Faculty Scholarship

We investigate the existence and structure of Markov-perfect equilibria of discrete-time dynamic games in which players are risk averse and have time preferences consistent with discounting. We establish the existence of a Markov-perfect equilibrium when each player strives to maximize the expected exponential utility of the present value of the time stream of rewards. Also, we give sufficient conditions for a Markov-perfect equilibrium to be myopic, namely to be a sequence of Nash equilibria of static games. The myopia results are applied to a dynamic oligopoly model in which firms choose prices and production quantities, encounter stochastic demand and hold …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Construction And Application Of A Tcn-Lstm-Svm-Based Time Series Prediction Model For Water Inflow In Coal Seam Roofs, Liu Xuan, Ji Yadong, Zhu Kaipeng, Zhao Chunhu, Li Kai, Li Chaofeng, Yuan Chenhan, Li Panpan, Yan Pengzhen

Coal Geology & Exploration

Background The accurate prediction of mine water inflow plays a significant role in the prevention and control of water hazards and the safe and efficient production in coal mines. Methods To construct a prediction model of water inflow in mines under threat of water hazards from extremely thick sandstones aquifer in West China, this study investigated a typical mine (also referred to as the studied mine) severely affected by such water hazards in the Binchang mining area of Shaanxi Province. The correlation between the mining footage and water inflow of the mining face was selected as the characteristic variable for …

Porous Calcium Carbonate-Poly-2-Acrylamido-2-Methylpropanesulfonic Acid Microspheres Embedded With Silver-Based Nanoparticles As Potential Antibacterial Carriers For Bone Infections, Novi Dwi Widya Rini, Adinda Asmoro, Systi Adi Rachmawati, Husaini Ardy, Akfiny Hasdi Aimon, Akihiro Kishimura, Yoshiki Katayama, Arie Wibowo

Makara Journal of Science

Implant-associated infections (IAIs) are a significant complication following orthopedic surgeries and are mainly caused by Staphylococcus aureus. In this study, microspheres based on hybrid calcium carbonate–poly-2-acrylamido-2-methylpropane sulfonic acid (CaCO₃-PAMPS) embedded with silver-based nanoparticles (AgNPs) were developed as potential antibacterial drug carriers for IAIs. AgNPs were prepared via a green synthesis approach, which employed Indonesian wild honey as a reducing and capping agent. PAMPS concentrations (0.025%, 0.050%, and 0.075% w/v) and silver ion (Ag⁺) concentrations in solution (0%, 2.5%, and 4% w/v) were varied. Scanning electron microscopy images showed that samples with 0.050% w/v PAMPS and …

Enhanced Crack Resistance Of Porous Anodic Aluminum Oxide Grown On A Tubular Substrate With The Additive Ethylene Glycol, Manogari Sianturi, Ariadne Laksmidevi Juwono, Anawati Anawati

Makara Journal of Science

The growth of a porous anodic aluminum oxide (PAAO) layer with fewer cracks on a tubular substrate is quite challenging. The PAAO layer on a curved surface grows slower than that on a flat surface and is susceptible to cracking. This study aims to improve the crack resistance of the PAAO layer grown on a tubular aluminum substrate by adding ethylene glycol (EG). Each bath contained additive concentrations of 0, 5, 10, and 15 vol% EG. Anodization proceeded for 4 h at a temperature of 10 ℃ using the potentiostatic mode at 25 V in a sulfuric acid bath and …

Synthesis Of Carboxymethyl Cellulose From Nypa Fruticans For Coating Metformin On Zn-Based Metal-Organic Framework Nanohybrid As A Bionanocomposite Drug Delivery System, Delviani Delviani, Viola Giary Rizkillah Maharani, Putri Nur Shadrina, Tri Warni, Regina Wan Azizah, Indra Lasmana Tarigan, Madyawati Latief

Makara Journal of Science

Diabetes is a common and rapidly spreading disease that affects 6.6% of the world’s population. Metformin hydrochloride (HCl) is an effective oral pharmacological treatment for type 2 diabetes mellitus (T2DM) patients because of its capability to reduce glucose levels and the risk of hypoglycaemia. However, gastrointestinal sensitivities to this drug can cause diarrhoea, nausea, vomiting and stomach ache. An alternative is controlled release technology by coating metformin with carboxymethyl cellulose (CMC) and zinc-metal-organic framework (Zn-MOF) through the encapsulation method. Therefore, this study aimed to coat metformin formulations using CMC in a Zn-MOF to control release into the body and minimise …