Digital Commons Network^™

Pathological Changes In Soft Tissues Associated With Radiographically Normal Impacted Teeth: A Critical Update And Meta-Analysis, Adesh S. Manchanda M.D.S., Ramandeep S. Narang M.D.S., Komaldeep Kaur Sandhu B.D.S

The New York State Dental Journal

The purpose of the study was to conduct a retrospective analysis of histopathological diagnosis of all pericoronal tissues associated with impacted teeth and to correlate it with a hypothetical classification of pericoronal follicular space to improve our clinical management of treating impacted teeth. Materials and Method. The study was carried out in the Department of Oral and Maxillofacial Pathology at Sri Guru Ram Das Institute of Dental Sciences, Amritsar. Data revealed that during a 12-year period, 1,268 patients reported with a pericoronal follicular space associated with the crown of an unerupted tooth, which was subsequently submitted for histopathological evaluation. Panoramic …

Naïve Bayes Based Android Adaptive User Authenticationprototype For Young Internet Of Medical Things Users, Prudence Munyaradzi Mavhemwa Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma

All Rsif Scholars' Publications

The increasing use of the Internet of Medical Things (IoMT) in healthcare highlights privacy and security concerns surroundingsensitive health data. This research focuses on enhancing the security and usability of IoMT for young users through arobust, adaptive continuous authentication model using physiological biometrics on Android devices and heart rate data fromsmartwatches. By integrating user behavior, environmental context, and health conditions, the model dynamically determinesrisk, trust, and authorization decisions. Machine learning techniques analyse data related to devices, networks, locations, anduser habits while considering demographics like age and medical conditions to assign suitable authenticators. The model balancesaccuracy and usability, favouring correct positive …

Cleancity Iot: A Vehicle-Mounted Platform For Real-Time Urban Air-Quality Monitoring And Forecasting In Resource-Constrained African Cities, Eric Nizeyimana, Damien Hanyurwimfura, Gabriel Uwanyirigira, Bonaventure Karikumutima, Jimmy Nsenga, Irene Niyonambaza Mihigo

All Rsif Scholars' Publications

Urban air pollution is a growing public-health challenge in African cities, yet traditional monitoring stations are sparse and expensive. The paper presents CleanCity IoT, a deployed, low-cost, vehicle-mounted air-quality platform that combines IoT sensors, GSM connectivity, cloud aggregation, and machine learning to produce near-real-time exposure maps and 2- hour forecasts for multiple pollutants. Each device integrates lowcost sensors for PM2.5, PM10, NO₂, O₃, SO₂, and CO₂, alongside temperature and humidity. Measurements are geotagged and transmitted over mobile networks form vehicles to a cloud backend, where data are validated, stored, and visualized through a user-friendly dashboard that also issues automated alerts …

Modelling And Optimization Of Microgrid With Combined Genetic Algorithm And Model Predictive Control Of Pv/Wind/Fc/Battery Energy Systems, Maklewa Agoundedemba, Chang Ki Kim, Hyun-Goo Kim, Raphael Nyenge, Nicholas Musila

All Rsif Scholars' Publications

Microgrid systems with hybrid renewable energy resources, such as PV, wind, have been widely used with storage devices to supply power to certain load demands. However, technical issues and fewer benefits can occur due to their intermittent nature and the high investment costs associated. So, an accurate model, sizing, and management approach are required to maximize the operational benefits of the microgrid with battery energy storage systems and fuel cells. This study used the combined genetic algorithm (GA) and model predictive control (MPC) to size and optimize the hybrid renewable energy PV/Wind/FC/Battery subject to certain constraints on the power flow …

A Machine Learning Approach To Lithology Classification In Mining Using Measurement While Drilling And Exploration Data, Gbétoglo Charles Komadja, Erik Westman, Aditya Rana, Anye Vitalis

All Rsif Scholars' Publications

Accurate lithology classification is essential as variations in rock formations can significantly impact the cost and efficiency of mineral exploration and mining. Initial exploration maps provide insights into subsurface formations, though typically collected at widely spaced intervals. This study examines the use of early exploration data and Measurement While Drilling (MWD) data for lithology prediction through machine learning. The research specifically evaluates the benefit of incorporating spatial coordinates with MWD parameters to enhance classification accuracy, using support vector machine (SVM), random forest (RF), and extra gradient boosting (XGBoost) classifiers with tenfold cross-validation. The models were trained on 235,501 data points …

Synthesizing Knowledge About Tree Diversity, Density, And Distribution In The Savanna Woodlands Of Sudan, Ahmed M.M. Hasoba, Ahmed A.H. Siddig, Kornel Czimber, Ali Omer, Nasradeen A.H. Gadallah, Mohamed M.A. Adam, Audrey Barker Plotkin

All Rsif Scholars' Publications

Savanna ecosystems comprise a complex and diverse biome, marked by the balanced cohabitation of trees and shrubs alongside a rich assembly of herbaceous flora, particularly grasses. In Sudan, savanna ecosystems provide invaluable services that sustain the livelihoods of millions of people. Here, we synthesized the existing knowledge about tree density, diversity, and distribution in the savanna woodlands of Sudan to assess tree diversity, evaluate tree conservation status on the basis of tree abundance and distribution according to IUCN guidelines, and map tree diversity and density in savanna woodlands. The research process started with an extensive search for relevant literature across …

Wolbanking77: Wolof Banking Speech Intent Classification Dataset, Abdou Karim Kandji, Frédéric Precioso, Cheikh Ba, Samba Ndiaye, Augustin Ndione

All Rsif Scholars' Publications

Intent classification models have made a significant progress in recent years. However, previous studies primarily focus on high-resource language datasets, which results in a gap for low-resource languages and for regions with high rates of illiteracy, where languages are more spoken than read or written. This is the case in Senegal, for example, where Wolof is spoken by around 90% of the population, while the national illiteracy rate remains at of 42%. Wolof is actually spoken by more than 10 million people in West African region. To address these limitations, we introduce the Wolof Banking Speech Intent Classification Dataset (WolBanking77), …

Conserving Carbon Stocks Under Climate Change: Importance Of Trees Outside Forests In Agricultural Landscapes Of Mongala Province, Democratic Republic Of Congo, Jean Pierre Azenge Bokoy, Aboubacar‑Oumar Zon, Jean Pierre Pitchou Meniko, Jérôme Ebuy, Justin N’Dja Kassi, Paxie W. Chirwa

All Rsif Scholars' Publications

This study aimed to evaluate the role of trees outside forests on agricultural land (TOF‑AL) in preserving the initial aboveground biomass (AGB) of forests within the agricultural landscape of Mongala province in the Democratic Republic of Congo. In 2024, tree inventories were conducted over four months in the forests and agricultural lands of Mongala province to analyse AGB. The effects of artisanal logging and charcoal production activities on the AGB conservation rate were considered. This study indicates that 78.3% of the trees encountered in agricultural lands were large‑diameter trees (diameter at breast height (DBH) ≥ 60 cm). In forest areas, …

Effect Of Aflasafe Tz01® On Aflatoxin Reduction And Emerging Challenges With Fusarium Mycotoxins In Maize From Rural Tanzania, Sambwe Fundikira, Martin Kimanya, Rashid Suleiman, Marthe De Boevre, Kokeb Tesfamariam Kokeb Tesfamariam, Sarah De Saeger

All Rsif Scholars' Publications

Aflatoxins are carcinogenic secondary metabolites produced by Aspergillus species and are common contaminants of many crops including maize. Atoxigenic Aspergillus flavus strains, formulated as biocontrol products such as Aflasafe® TZ01, that comprises a mixture of four native atoxigenic strains, are used as pre-harvest agents to suppress toxigenic strains and reduce aflatoxin levels. This study assessed the intended and potential unintended impacts of Aflasafe® TZ01 on mycotoxin contamination in maize. A total of 158 samples 79 from treated and 79 from untreated fields were collected from Chemba and Kiteto districts in Tanzania. Multi-mycotoxin analysis was conducted using liquid chromatography coupled with …

Molecular Evidence Of Brucella Abortus Circulating In Cattle, Goats, And Humans In Central Equatoria State, South Sudan, Emmanuel Philip Lasuba Lita, Ernatus M. Mkupas, Erneo B. Och, Gerald Misinzo, Henriette Van Heerden, Robab Katani, Jacques Godfroid, Coletha Mathew

All Rsif Scholars' Publications

Brucellosis is a neglected zoonotic disease in most developing countries, including South Sudan. Precise identification of Brucella species is crucial for addressing public health and epidemiological concerns associated with brucellosis. The study aimed to identify Brucella species using real-time polymerase chain reaction (qPCR) from seropositive samples that were acquired from an earlier investigation. A total of 143 genomic DNA samples were extracted from brucellosis Rose Bengal plate test (RBPT) seropositive samples from humans (n=7), cattle (n=103) and goats (n=33). The samples were collected from Terekeka and Juba counties, Central Equatoria State (CES), South Sudan. The qPCR targeting the Brucella-specific IS711 …

Jstmapp: A Web-Based Joint Spatiotemporal Modelling And Mapping Application For Epidemiologists, Alfred Ngwira, Samuel O.M Manda, Esron D. Karimuribo, Sharadhuli I. Kimera

All Rsif Scholars' Publications

Disease mapping models help create disease risk maps, which public health policymakers can use to design disease control and monitoring programmes. These models are now routinely implemented using spatial statistical software packages that use frequentist estimation methods, such as SaTScan and HDSpatialScan, and Bayesian estimation methods, such as the Windows version of Bayesian inference using Gibbs sampling (WinBUGS) and R integrated nested Laplace approximation (INLA). We aimed to develop a user-friendly joint disease spatiotemporal modelling and mapping application (JSTMapp) for epidemiologists and health statistics analysts based on Bayesian methods. Using the R package Shiny and utilising the proven and embedded …

Meta-Analysis Of The Prevalence Of Tuberculosis In Cattle And Zoonotic Tuberculosis In Humans In Sub-Saharan Africa, Alfred Ngwira, Samuel Manda, Esron Daniel Karimuribo, Sharadhuli Iddi Kimera

All Rsif Scholars' Publications

Background Tuberculosis (TB) in cattle negatively affects the cattle economy in Africa, with zoonotic TB posing drugresistance issues in humans. The burden of TB in cattle and zoonotic TB in humans in sub-Saharan Africa (SSA) is not well understood. This study aimed to determine the prevalence of both TB in cattle and zoonotic TB in humans in SSA through meta-analysis. Methods Research on TB prevalence was sourced from multiple databases. A random effects meta-analysis model estimated TB prevalence in SSA and its regions, while meta-regression identified risk factors. The analysis included 114 studies for cattle and 59 for humans. Results …

Effect Of Malt Barley Cluster Farming On Food Security In Amhara Region, Ethiopia, Betelhem Tsedalu Adane, Irene Susan Egyir, Ama Asantewah Ahene-Codjoe, Taeyoon Kim

All Rsif Scholars' Publications

Cluster farming is the practice of merging neighbouring farms into a unified production unit to grow specific crops collaboratively. This is a promising method to enhance food security by improving agricultural productivity through coordinated resource use and enabling access to inputs, technologies, and markets. Despite this benefit, no empirical studies have examined how malt barley cluster farming affects smallholder farmers’ food security. This study adopts descriptive and econometric analysis, including the endogenous switching regression model (ESRM) and control function approach to account for selection bias and endogeneity in estimating the causal effect of malt barley cluster farming. Cross-sectional data were …

It’S Time To Stop Calling People "Stakeholders", Bethann Garramon Merkle, Evelyn Valdez-Ward, Priya Shukla, Skylar R. Bayer

Human–Wildlife Interactions

Although the term “stakeholder” has been widely used in science communication, recent expansion in the discourse around the negative connotations of the term necessitate that scientists and practitioners cease using the term. We discuss why this shift is necessary, how it affects our own praxis, and suggest resources for working through more respectful and just language. Looking to the science communication literature can help recalibrate terminology in positive ways.

Habitat Loss And Its Behavioral Effects On A Female Gray Hawk In The Lower Rio Grande Valley Of Texas, Usa, Michael T. Stewart, Ashley M. Tanner, Brian A. Millsap, William S. Clark

Human–Wildlife Interactions

Habitat loss is a major threat to wildlife worldwide. While habitat loss is commonly associated with the fragmentation, degradation, or destruction of large tracts of suitable space, habitat loss in urban environments can be much more incremental and nuanced. We tracked an adult female gray hawk (Buteo plagiatus) in the Lower Rio Grande Valley of Texas, USA, before and after 70% of the trees (7.6 ha) were cleared from the core of the nesting territory. While the hawk’s overall activity budget between within-patch and exploratory movements was unchanged, the hawk undertook substantially longer exploratory movements after the trees …

Evaluating Lethal Coyote Management In The Chicago Metropolitan Area Using A Conflict Recurrence Metric, Jeffrey T. Schultz, Scott Beckerman, Robert Erickson, Danielle Montgomery, Stewart W. Breck

Human–Wildlife Interactions

Human–coyote (Canis latrans) conflict in urban environments is prevalent in cities throughout the United States. Urban areas commonly use nonlethal techniques to mitigate coyote-caused conflicts but will also incorporate selective removal of individual coyotes when conflicts persist. However, little research has evaluated these management strategies. This study analyzed coyote removal efforts conducted in the Chicago Metropolitan Area from 2010 to 2020. To evaluate the management actions, we used “time without incidence”—the time elapsing from an initial conflict until either a subsequent conflict occurred in the same area, or when the data collection period ended—as an index of effectiveness. …

Use Of Scat Dna To Estimate Coyote Abundance On A Newly Colonized Barrier Island, Sonia M. Hernandez, Michael J. Yabsley, Sarah C. Webster, Elizabeth M. Kierepka, Rochelle R. Beasley, Carly L. Landa, Heather W. Barron, Kelly Sloan, Holly Milbrandt, James C. Beasley

Human–Wildlife Interactions

Coyotes (Canis latrans) have expanded in mainland eastern North America and are known to have successfully colonized numerous islands. However, there are scarce data on the densities of coyotes in these ecosystems, in which coyotes can have substantive negative impacts. Coyotes first colonized Sanibel Island, a barrier island off the western coast of Florida, USA, in 2011, and their presence has been linked to declines in several sensitive species. However, the population size of coyotes has only been estimated from anecdotal reports and camera traps. Our goal was to estimate the size of the coyote population on Sanibel …

Cost-Effective Strategies For Feral Swine Control: Exploring Trapping Equipment Cooperatives, Phil Kenkel, Riza Radmehr, Rodney Holcomb, Mckenzie Boyce

Human–Wildlife Interactions

Feral swine (Sus scrofa) in the United States have become a growing concern, with a population of ≥6 million and causing annual damages of ≥$1.5 billion USD. Because of their high reproductive capacity, effective control methods are crucial to reducing or slowing their population growth. While remotely monitored and triggered traps have proven to be an effective control strategy, the cost of sophisticated trapping equipment, which can cost ≥$7,000 USD, is often cost prohibitive for many landowners. Despite the pressing need to address the challenge of making effective feral swine control methods more affordable, there are few studies …

Human–Wildlife Interactions Monograph Series

Human–Wildlife Interactions

The Human–Wildlife Interactions (HWI) Monograph Series is published in both print and online formats through the Jack H. Berryman Institute at Utah State University. See the current and forthcoming publications in this series.

Refine Fuels Treatments In The Wildland–Urban Interface With Wildlife In Mind, Miles Becker, Catrin M. Edgeley, David Stoner

Human–Wildlife Interactions

Conserving urban tree and shrub cover provides many benefits for wildlife and people, yet often becomes a lower priority than fuels treatments to mitigate fire risk in the wildland–urban interface (WUI). We support the principle that considering multiple objectives on privately owned property is valuable and can be achieved. Data sharing and collaboration between wildfire experts and wildlife biologists could improve the quality and extent of managing both animals and fire. Furthermore, the adoption of statewide policy and municipal regulations for preventing wildfires in the WUI provides an opportunity to incorporate ecological functions in the same directives for a balanced …

On Copyright And Social Policy, Graham Reynolds

All Faculty Publications

This paper advocates for a view of copyright not as economic incentive or reward, but as a critical piece of a broader social policy, the goal of which is to help build a just and inclusive society. Copyright can play an important role in helping build such a society, in that the exclusive rights granted to creators under copyright legislation, as well as the limits placed on those rights, can be structured in ways that help advance this goal. However, copyright alone can only do so much. In seeking to build a just and inclusive society, copyright must be embedded …

Nil Education At Universities As Student Athletes Face The Wild West, Ainsworth A. Bailey, Geoffrey Christopher Rapp, Shawn Tysiak

Fordham Law Review

No abstract provided.

Unstructured Nil Settlements, Tan T. Boston

Fordham Law Review

On October 7, 2024, the U.S. District Court for the Northern District of California granted preliminary approval to the largest, most transformative antitrust settlement in intercollegiate athletics history. Popularly known as the House Settlement (the “Settlement”), its terms remove National Collegiate Athletic Association (NCAA) scholarship limits and provide $2.8 billion in retroactive name, image, and likeness (NIL) compensation to both current and former NCAA athletes. But more importantly, the Settlement allows schools to disburse up to $20 million annually to athletes as part of a historic, new revenue-sharing model—effectively abolishing NCAA amateurism. Analysts estimate that intercollegiate men’s basketball and football …

Title Ix And Athlete Compensation In The Postamateurism Era, Erin Buzuvis

Fordham Law Review

No abstract provided.

Of Labor, Antitrust, And Why The Proposed House Settlement Will Not Solve The Ncaa’S Problem, Marc Edelman, Michael A. Carrier

Fordham Law Review

The National Collegiate Athletic Association (NCAA) recently settled three antitrust lawsuits. With a significant payout, it hopes to put its antitrust worries behind it. In doing so, the NCAA seeks to follow in the footsteps of the National Football League (NFL), which has enjoyed thirty years of labor peace. But there is a big difference between these two situations. The NFL’s 1993 settlement in White v. National Football League was shielded from antitrust scrutiny by the nonstatutory labor exemption, which encourages collective bargaining activity. No such exemption protects the NCAA’s settlement. This Essay explains why the NCAA cannot establish a …

Life After Employee-Status In College Sports, Marc Edelman, John T. Holden, Michael A. Mccann

Fordham Law Review

National Collegiate Athletic Association; NCAA; college sports; intercollegiate sports; college athletes; college-athlete employee; amateurism; worker; employee; employment status; collective bargaining; single-employer bargaining units; Multiemployer Bargaining Units; Joint Employer Bargaining Units; antitrust

Re-Recording The Record: The Case For A Stronger Moral Right Of Integrity In The United States, Alexandria Touron

Fordham Law Review

In the United States, musical artists have limited legal recourse over transferring ownership of their music to third parties, even when such transfers may harm the artist’s reputation or the integrity of the work. Even the most prominent musicians, like Taylor Swift, must operate within an industry structure that normalizes the transfer of rights and, thus, control of their creative works. This occurs because U.S. law ties artists’ rights almost exclusively to economic ownership of their work unless they specifically bargain to keep their moral rights. However, most other countries have comprehensive moral rights frameworks where all artists can protect …

Law-Following Ai: Designing Ai Agents To Obey Human Laws, Cullen O'Keefe, Ketan Ramakrishnan, Janna Tay, Christoph Winter

Fordham Law Review

Artificial intelligence (AI) companies are working to develop a new type of actor: “AI agents,” which we define as AI systems that can perform computer-based tasks as competently as human experts. Expert-level AI agents will likely create enormous economic value but also pose significant risks. Humans use computers to commit crimes, torts, and other violations of the law. As AI agents progress, therefore, they will be increasingly capable of performing actions that would be illegal if performed by humans. Such lawless AI agents could pose a severe risk to human life, liberty, and the rule of law.

Designing public policy …

The Role Of Psychological Capital On Organisational Citizenship Behaviours Within The Ghanaian Public Sector: A Conservation Of Resources Perspective., Duke Debrah Afrane

Doctoral

The public sector of Ghana has been plagued with low productivity issues for over a decade. Psychological capital is a resource that can increase citizenship behaviours, which help to boost productivity. Conservation of resources theory provides a mechanism for explaining the role that psychological capital plays in encouraging organisational citizenship behaviours. This mechanism is reflected in the value of psychological capital among employees and context-specific factors within the omnibus and discrete contexts of the Ghanaian public sector. The thesis explored this through a two-phase research method. Firstly, employing semi-structured interviews to explore the value of psychological capital, and identify perception …

Building Obsolescence: Key Factors Influencing Demolition Decisions For Commercial Buildings, Azlan Shah Ali, Zakaria Norhanim, Zulkifly Umi-Kalsum, Zaki Faiz

Research Publications (2021 to 2025)

Buildings, while primarily serving to provide shelter, can deteriorate over time without proper maintenance and planning, leading to obsolescence, a significant threat to their functionality. This study investigates the factors contributing to building obsolescence and how they influence the selection of adaption strategies, focusing on commercial buildings as a case study. Questionnaire data were gathered from 386 business owners and occupants of obsolete buildings in Klang Valley, Malaysia, to capture their perspectives on the issue. Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) were employed to rank obsolescence factors and solution options on strategies on obsolescence factors. PCA results …