Digital Commons Network^™

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 …

Influencing Patterns Of Low-Temperature Nitrogen On The Pore Structure And Oxidation Characteristics Of Lignite, Xie Shuliang, Wang Gang, Qu Qingdong, Liu Hao, Sun Lulu

Coal Geology & Exploration

Objective During fire prevention and extinguishment for mines, injecting normal-temperature nitrogen into goaves can only play an inerting role. Meanwhile, the preparation of liquid nitrogen is complicated and costly. Therefore, in the Wudong Coal Mine in Xinjiang, low-temperature gaseous nitrogen of –40 ℃ was prepared using nitrogen cooling devices and then injected into goaves to prevent the spontaneous combustion of residual coals. However, the influencing patterns of low-temperature nitrogen on the pore structures and oxidation characteristics of residual coals in goaves remain poorly understood. This tends to affect the prediction and forecast of the secondary oxidation of residual coals in …

Mechanisms Underlying Differential Helium Enrichment In Shale Gas Of Varying Structural Styles In The Southeastern Sichuan Basin, Xin Zhiyuan, Chen Jianfa, Wang Jie, Ma Yong

Coal Geology & Exploration

Objective Shale gas reservoirs hold considerable helium reserves despite relatively low helium abundance, establishing them as a critical replacement for helium production growth. The southeastern Sichuan Basin exhibits diverse structural styles with varying preservation conditions, leading to an unclear understanding of the distribution characteristics and enrichment patterns of helium in shale gas. Determining the mechanisms behind the differential helium enrichment in shale gas is significant for the effective utilization of helium in shale gas.Methods Focusing on the typical shale gas reservoirs of different structural styles in the southeastern Sichuan Basin, this study explored the mechanisms underlying differential helium accumulation …

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 …

Removal Of Heavy Metals From Motorcycle Washing Wastewater Using A Zeolite-Embedded Sheet, Noverita Dian Takarina, Hanies Ambarsari, Sekar Arum Pramudyawardhani, Maria Fatima Niken Kris Rahmawati, Erni Johan, Naoto Matsue, Mohammad Afdhal Adidharma

Makara Journal of Science

The increased use of motorcycles for transportation has heightened environmental challenges related to their washing, particularly the discharge of untreated wastewater containing heavy metals, such as copper (Cu) and lead (Pb), into drainage systems. This study explored the effectiveness of zeolite-embedded sheets (ZESs) in the removal of these pollutants from motorcycle washing wastewater. ZESs were prepared through treatment of nonwoven sheets with Linder Type A (LTA Zeolite) powder and heat treatment, washing, and drying. Characterization was performed via scanning electron microscopy with energy-dispersive X-ray spectroscopy, and Fourier transform infrared spectroscopy. Over a 60 min adsorption period, the ZES achieved removal …

Isolation And Selection Of Bacillus Spp. As Candidate Probiotics For Use In Chickens, Adilah Adawiah, Komang Gede Wiryawan, Anja Meryandini

Makara Journal of Science

The growth rate of chickens can be improved by using probiotics as alternatives to antibiotics. Bacillus spp. as probiotics are particularly beneficial due to ability to form spores, which remain stable as commercial products over extended periods. This study aimed to isolate and select Bacillus spp. from Jasinga soil as probiotic candidates for chickens. A total of 15 isolates obtained of these, 12 were identified as Bacillus spp based on microscopic observations and screening test including ascertaining hemolysis, protease, amylase, and cellulase activities. Only six isolates exhibited gamma hemolysis and the ability to hydrolyze proteins, starch, and cellulose. Isolates BTJ1.1, …

Cover And Content

Turkish Journal of Physics

No abstract provided.

Parity-Time Symmetry In Vcsels Utilizing Lithographic Cavities, Abdullah Demi̇r

Turkish Journal of Physics

Parity-time symmetry (PTS) has emerged as a powerful strategy for engineering single-mode lasers with enhanced mode selectivity. In this work, we present a systematic numerical study comparing two classes of non-Hermitian micro-laser designs: PTS and quasi-PTS (q-PTS). Using lithographically defined vertical-cavity surface-emitting lasers (Li-VCSELs) as our platform, we show that q-PTS VCSELs offer superior transverse mode discrimination compared to their PTS counterparts. This advantage arises from the unique coupling mechanism in q-PTS architectures, where the fundamental mode preserves its low-loss nature. In contrast, PTS VCSELs require the second-order mode to remain in the PTS phase while the fundamental mode is …

Evolution Of Wormholes Under F(R, T) Theory, The Karmarkar Condition And The Casimir Energy, Murat Metehan Türkoğlu

Turkish Journal of Physics

In this study, both the evolution of wormholes (by examining both the energy conditions and using the TOV equations) and the effects of the Karmarkar condition on the solutions obtained under certain specific cases were examined in the light of the f(R, T) gravity theory, using two f(R, T) functions predicted to describe the accelerated expansion of the universe. In this context, for the first time in the literature, a generalized shape function was obtained using the Karmarkar condition. It was observed that solutions of the type R -a12/R+a2g(T) satisfy the energy conditions (with the dominant energy condition being partially …

Variational Monte Carlo Optimization Of Proton-Proton Scattering Potential Using The Phase Function Method, Shikha Awasthi, Anil Khachi, O.S.K.S. Sastri

Turkish Journal of Physics

The Riccati-type nonlinear differential equation, also known as the Phase Function equation, is used to construct local inverse potentials for the 1S0 - pp state by bypassing the well-known Schrödinger equation. The pp interaction is described using the Malfliet-Tjon potential model for the nuclear component combined with a screened Coulomb potential, with the phase equation solved via the fourth-order Runge-Kutta (RK-4) method. Based on our analysis, we confirm that the optimized interaction potential closely matches the well-known realistic Argonne V18 and Reid potentials for the 1S0 state, and the computed phase shifts and cross-sections show excellent agreement with experimental data. …

Kolmogorov–Smirnov-Based Edge Centrality Measure For Metric Graphs, Christina Durón, H. Kravitz, Moysey Brio

Mathematics and Statistics Faculty Publications and Presentations

In this work, we introduce an edge centrality measure for the Helmholtz equation on metric graphs, a particular flow network, based on spectral edge energy density. This measure identifies influential edges whose removal significantly changes the energy flow on the network, as indicated by statistically significant p-values from the two-sample Kolmogorov–Smirnov test comparing edge energy densities in the original network to those with a single edge removed. We compare the proposed measure with eight vertex centrality measures applied to a line graph representation of each metric graph, as well as with two edge centrality measures applied directly to each …

The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage

USF Tampa Graduate Theses and Dissertations

Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).

The proposed RANS-based approach is first …

The Impact Of Artificial Intelligence On Ecojustice And Ethics, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

Artificial Intelligence (AI) has attained human-level performance in tasks like text summarization, machine translation, and code generation while handling multimodal data. Despite these advances, AI poses challenges such as generating false or biased outputs, causing discrimination, and exhibiting opaque decision-making processes that hinder bias mitigation. Additionally, training large language models (LLMs) for AI consumes substantial energy and can enable autonomous warfare, posing a threat to eco-justice, and raising sustainability concerns. Their ability to create realistic content poses the risk of misuse and perpetuating misinformation. This article addresses these ethical issues and presents solutions through regulation and technology, with examples of …

Exploring The Translation Lookaside Buffer (Tlb) For Low-Level Task Differentiation And Classification, Cristian Agredo, Daniel F. Koranek, Christine M. Schubert, Jose A. Gutierrez Del Arroyo, Tor J. Langehaug, Scott R. Graham

Faculty Publications

The primary focus of modern Central Processing Unit (CPU) technologies is performance improvement, with security often considered a secondary concern. As a result, vulnerabilities within the system are overlooked. While significant research, both offensive and defensive, has been conducted on CPU caches, relatively little attention has been given to the Translation Lookaside Buffer (TLB) due to its perceived lack of data granularity. Prior studies have typically combined multiple Hardware Performance Counters (HPCs) or relied on timing analysis to extract meaningful insights. In contrast, this study introduces a novel methodology that leverages only TLB related HPCs for multi-task classification, without incorporating …

Spatiotemporal Evaluation Of Water Quality, Metal Pollution, And Human Health Risks In A Dredged Urban River, New Jersey, Usa, Oluwafemi Soetan, Qingzhi Zhu, Huan Feng

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Although the short-term effectiveness of remedial sediment dredging (RSD) on mitigating sediment contamination in the lower Passaic river (LPR), New Jersey, USA, was previously established in previous studies, dredging impacts on overlying water and consequential effects on aquatic life and human health were not investigated through model-based risk assessment methods. This study assessed the influence of RSD on metal pollution and toxicological risks upstream and downstream of River Mile-3.4, which was the subject of a 2012 RSD. Over the pre-, during-, and post-dredging periods, threats to aquatic life and humans were greater upstream at River Mile-4 (WQIavg. ≥ 50, PIavg. …

Strategies To Improve Nurse Staffing And Workforce Management In Home Health Agencies, Kelechi Lillian Wabeke

Walden Dissertations and Doctoral Studies

Home health agencies continue to grapple with challenges in nurse staffing and workforce management. This integrative review explored effective strategies to address these challenges and improve operational efficiency. The review focused on identifying best practices for enhancing nurse recruitment, retention, and scheduling processes within home health settings. Guided by the transformational leadership framework, the study examined 30 empirical and theoretical articles published over the past 5 years. The selected articles were further assessed for relevance and quality using the Johns Hopkins evidence-based practice model. Through an in-depth thematic analysis, five primary themes and 10 supporting subthemes emerged. The key themes …

Xplain: Xai For Interpretable Llms Through Perturbation Analysis And Normalized Vector Similarity, Gopala Dhar, Sharmila Devi

Defensive Publications Series

This document introduces XAI methodology, referred to as XPLAIN, to address the challenges of LLM interpretability by developing a perturbation-based normalized vector similarity metric to identify and quantify word level importance of the prompt provided to an LLM on its generated output. By analyzing which words or phrases most significantly influence an LLM's decisions, the described techniques enhance the explainability and interpretability of large language models. The approach perturbs the prompt via masking words to generate several outputs through the LLM and then compares the outputs with the generated output of the unperturbed prompt through vector-based similarity at a semantic …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan

Military Cyber Affairs

This paper introduces a method to quantify international populations’ susceptibility to cyber cognitive attacks using press freedom and media trust metrics. We present the Cognitive Influence Calculator, a tool that estimates susceptibility (𝑆) based on Press Freedom Scores (PFS) and media trust levels. Findings show that while authoritarian regimes are harder to reach, successful cognitive attacks have greater impacts due to higher trust in state-controlled narratives. Using U.S. wargaming data and international trust metrics, we compute susceptibility scores for the U.S., Russia, China, Iran, and North Korea. Results show an inverse relationship between PFS and media susceptibility, with local/allied …

A “Teaching As Emergent Learning” Approach To Teaching Deep Creativity, Steven Greenstein, Iain Kerr, Emily Olson

LASER Journal

Creativity is the process by which a change that is new and different emerges. We call it deep when it yields novel forms of both quantitative and qualitative change. If we are to take on the most pressing and persistent challenges to our social, global, and planetary well-being, we need novel approaches of a qualitatively different kind than those that have failed to bring about radical change in the past. In other words, we need deep creativity. The paradox at the heart of ``ideation-first" approaches to creative practice (e.g., brainstorming or ideating) is that if creativity aims to produce outcomes …

Christianity, Conception, And Consciousness: Why A Conscious Human Mind Is Necessary To Fulfill The Conception Requirement, Vittoria L. D'Addesi

Liberty University Law Review

As artificial intelligence (“AI”) advances, it not only affects our daily life, but also implicates patent law. The Federal Circuit Court of Appeals has already held in Thaler v. Vidal that only a natural human person can be an “inventor” entitled to receive a patent, thereby excluding AI. The rationale in Thaler centers on statutory interpretation, leaving open the question of whether AI is capable of fulfilling the conception requirement—an essential element of qualifying as an inventor and receiving a patent. This Comment aims to expand the rationale of Thaler and argues that AI cannot fulfill the conception requirement; thus, …

The Measure Of A Man: Considering Science Fiction And Christianity In The Regulation Of Artificial Intelligence Models, Andrew P. Connors

Liberty University Law Review

Does artificial intelligence “think,” and if it does, what should the law do about it? This article examines popular culture and the Turing Test to assess whether artificial intelligence “thinks,” applying the author’s engineering background and his Christian worldview. The author concludes that artificial intelligence mimics rather than creates and considers the risks and benefits of artificial intelligence given that conclusion. The author suggests that legal regulation should be measured, leaving important decisions to humans while at the same time encouraging development of this important, misunderstood technology.

Computers: Their Human And Cultural Impact

Communication Research Trends

In January 1983 the cover ofTIME magazine featured not the usual photograph of the Man of the Year but an illustration of the Machine of the Year: the personal computer.

TIME's cover was a dramatic illustration of how the computer, in only six or seven years, had entered the everyday world of the average American. The computer was becoming ubiquitous and commonplace, as familiar a household item as television set and telephone.

But the TIME cover reminds us that the computer is more than a mere consumer durable. According to TIME the "greatest influence for good or evil" in 1982 …

The Squandering Of Critical Thinking In Our Schools And What We Can Do About It, Nick Pocius

Essays in Education

In the face of increasing disinformation, reduced student engagement, and rigid educational structures, this article critiques the current U.S. public school system’s failure to cultivate critical thinking in students. Drawing from over two decades of classroom experience, the author argues that the systemic emphasis on standardized testing, prescribed curricula, and diminished access to arts and physical education have contributed to a decline in curiosity and creative inquiry. Furthermore, the omnipresence of smartphones and social media has robbed students of the boredom that often sparks critical thought. The article proposes several pragmatic solutions, including banning phones during school hours, reintroducing recess …

Full Issue: Volume 6, Issue 2, Editorial Board

Swarthmore Undergraduate History Journal

The second issue in the sixth volume of the Swarthmore Undergraduate History Journal.