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Acidic Extracellular Ph-Induced Pth Secretion In Male Mouse Parathyroids Is Ogr1-Dependent, Yanmei Yang, Mengcun Chen, Mingshu Cui, Elisabeth Lashbrooks, Bin Wang

Center for Translational Medicine Faculty Papers

The role of extracellular acidity in regulating PTH secretion in cultured mouse parathyroid glands (PTGs) has not been studied to date, largely because of the technical difficulty of isolating mouse PTGs. We hypothesized that acidic extracellular pH directly stimulates PTH secretion through activation of a proton-sensing receptor, specifically ovarian cancer G protein-coupled receptor 1 (OGR1, also known as GPR68). To test this, we developed a method to reliably identify and isolate PTGs from male mice by administering 5-aminolevulinic acid, which induced selective fluorescence in these glands. Using this model, we demonstrate that acidic extracellular pH significantly stimulates PTH secretion in …

Table Of Contents - 53.1

New England Classical Journal

No abstract provided.

Pregnancy And Motherhood In Residency, Je'vana Taylor

Journal of Wellness

No abstract provided.

Valorisation Of Bourbon Distillery Waste Into Single-Source Hybrid Lithium-Ion Capacitors, Josiel Barrios Cossio, Juan Luis Gómez-Urbano, Sandesh Darlami-Magar, Rodney Andrews, Ignacio Martin-Gullon, Andrea Balducci, Marcelo I. Guzman

Mechanical Engineering Faculty Publications

Bourbon, an iconic American whiskey, is primarily produced in Kentucky, which accounts for 95% of the world's supply. Between 2000 and 2024, bourbon output in Kentucky increased sixfold, creating significant sustainability challenges, particularly the disposal of spent grains (stillage), a high-volume byproduct generated at 6–10 times the volume of bourbon produced. This study presents a scalable strategy to upcycle bourbon stillage into high-performance carbon materials for energy storage applications. The process involves different thermal and chemical treatments to obtain both activated and hard carbons. The resulting activated carbons assembled into symmetric electric double-layer capacitors (EDLCs) deliver outstanding electrochemical performance: 96 …

Classes Of Analytic Functions Defined By Salagean Derivative Operator Associated With Neutrosophic Generalized Poisson Distribution, Soliu O. Opeyemi Okunola, Olushola Adeyemo, Sayo A. Abidemi Gbangbala, Folorunso I. Isola Akinwale

Neutrosophic Systems with Applications

This study introduces and analyses new subclasses of analytic functions by applying the Salagean derivative operator to the Neutrosophic Generalized Poisson Distribution (NGPD) series. We develop a model where the mean parameter is treated as an interval or set to account for indeterminacy in complex systems. By employing Stirling numbers of the second kind and decreasing factorials, we derive necessary and sufficient coefficient inequalities and inclusion relations for these new subclasses. Numerical results and graphical illustrations demonstrate the sensitivity of these functions to orientation and the neutrosophic parameter, providing a framework for applications in fields like medical imaging and network …

Optimization Of A Multi-Item Supply Chain Model With Shortages Under Parametric Type-2 Interval Environments, Sourav Kumar Kumar Giri, Totan Garai, Sahidul Islam, Haridas Mondal, Shariful Alam

Neutrosophic Systems with Applications

Modern supply chain systems frequently operate in environments where demand, costs and inventory-related parameters are uncertain and difficult to estimate accurately. These uncertainties become more critical in multi-objective decision-making situations, where decision makers must simultaneously balance several conflicting goals. Conventional optimization techniques often fail to represent the ambiguity and vagueness present in practical decision environments. To overcome these limitations, this study develops a multi-item supply chain model for a single supplier and a single buyer by incorporating Type-2 interval representations into the modelling framework. The proposed approach introduces a structured set of arithmetic operations for Type-2 intervals to manage uncertain …

A Novel Ffueat Technique Enhancing The Performance Of Multiple Url Classification And Cybersecurity Using Rnn And Transformer-Based Models, Zafar Ali, Siti Sophiayati Yuhaniz, Noureen Noureen, Ghulam Mujtaba, Husham M. Ahmed

Baghdad Science Journal

Thousands of new websites are published every day, which pose significant challenges for web classification and cybersecurity. URL classification datasets, including general and cybersecurity-specific ones, face challenges such as class imbalance, noise, and ambiguous data, which can significantly affect model performance. This study proposes a novel Fine-Tuned FastText Unsupervised Embedding Augmentation Technique (FFUEAT). Datasets (DMOZ and Phishing) were used to evaluate the performance of the proposed technique, achieving F1-scores of 0.8639 with DistilBERT and 0.8891 with BERT. The performance of sparse minority classes, achieving accuracy increases of 20.88% for 'home', 58.04% for 'news', and 11.18% for the 'kids' categories of …

Predicting Future Stock Closing Prices: A Five-Stage Approach Utilizing Historical Data And Enhanced Deep Learning Techniques With Multi-Strategies Improved Beluga Whale Optimization, D. Murahari Reddy, R. Balamanigandan

Baghdad Science Journal

Predicting stock market movements is a complex and challenging task due to many factors that can influence stock prices. While there are various approaches and techniques that researchers and analysts have explored, it's crucial to note that accurately forecasting stock prices consistently is complicated. Financial data can be noisy and subject to errors. Minor inaccuracies in data can lead to inaccurate predictions. In this research, we propose a new deep learning technique with an optimization algorithm to overcome the limitations in stock market prediction. This research has five stages to predict closing prices using historical data. The input data is …

Diabetes Case Detection Based On Neuroevolutionary Algorithm And Ganet Tool, Ivan V. Stepanyan, Safa A. Hameed, Minhai Hou

Baghdad Science Journal

This paper proposes a method utilizing an evolutionary algorithm (EA) to improve the learning process within the artificial neural network (ANN). The study utilized two models: the neuroevolutionary algorithm and the GANet tool. These algorithms were trained on two clinical diabetes datasets to discern health conditions. Each Feedforward Artificial Neural Network (FANN) layer in a neuroevolutionary algorithm is broken into multiple ANNs according to the number of neurons. The evolutionary technique later utilizes crossover and mutation operations to produce an ideal FANN. Enhanced artificial neural networks were subsequently incorporated to provide an innovative and robust functional artificial neural network for …

Internalized Homophobia As An Influence On Participation In Hiv Prevention Among Young Men Who Have Sex With Men (Ymsm), Kasey I. Brazee

Honors Scholar Theses

Stigma is a known barrier to accessing preventative services for human immunodeficiency virus (HIV), however, the types of stigmas involved in this relationship remain not well defined. Homophobia, or negative attitudes directed towards homosexuality, is a particularly important type of stigma considering the disproportionate effect of HIV on men who have sex with men (MSM). Young MSM (YMSM) are especially impacted, making them a key population in the context of HIV prevention research.  Internalized homophobia, which refers to homophobia that one directs towards themselves, is under researched regarding its role in participating in HIV prevention. In this study, we aimed …

Acidic Extracellular Ph-Induced Pth Secretion In Male Mouse Parathyroids Is Ogr1-Dependent, Yanmei Yang, Mengcun Chen, Mingshu Cui, Elisabeth Lashbrooks, Bin Wang

Center for Translational Medicine Faculty Papers

The role of extracellular acidity in regulating PTH secretion in cultured mouse parathyroid glands (PTGs) has not been studied to date, largely because of the technical difficulty of isolating mouse PTGs. We hypothesized that acidic extracellular pH directly stimulates PTH secretion through activation of a proton-sensing receptor, specifically ovarian cancer G protein-coupled receptor 1 (OGR1, also known as GPR68). To test this, we developed a method to reliably identify and isolate PTGs from male mice by administering 5-aminolevulinic acid, which induced selective fluorescence in these glands. Using this model, we demonstrate that acidic extracellular pH significantly stimulates PTH secretion in …

Pengaruh Media Sosial Terhadap Proses Pembelajaran Mahasiswa Perpustakaan Dan Sains Informasi, Aswan Pratama, Muh Wahyu Al Fauzal Nasrul, Harianto Harianto

Jurnal Ilmu Informasi, Perpustakaan, dan Kearsipan

This study aims to analyze the influence of social media usage on the learning process of Library and Information Science students. Using a qualitative method with in-depth interview techniques, this research explores students' experiences and lecturers' perspectives regarding digital interaction in an academic context. The results identify four main patterns: high digital distraction increasing cognitive load, the use of social media as a learning support system, emotional dependency triggering academic procrastination, and self-control strategies applied by students. The findings indicate that social media has a dualistic impact; on one hand, it serves as a source of distraction and time management …

Enhanced Population Mean Estimation Using An Exponential Estimator With Known Medians Of Dual Auxiliary Variables Within A Neutrosophic Approach: Applications In Agricultural Yield Prediction, Anchal Yadav, Mukesh Kumar

Neutrosophic Systems with Applications

In classical statistical theory, estimation of population parameters is generally carried out under the assumption that all observed data are precise, complete, and free from ambiguity. However, in many practical and real-world situations, data often deviate from these ideal conditions and instead appear in vague, uncertain, or interval-valued forms. Such imperfections reduce the effectiveness of traditional estimation techniques and motivate the development of more flexible and robust methodologies. To address these challenges, several improved estimators, particularly neutrosophic ratio-type estimators and their advanced extensions, have been proposed in recent literature. In this study, a new estimator known as the two auxiliary …

On Some Properties Of Generalised Regular Anti-Topological Space, Bhimraj Basumatary, Gugu Narzary, Jeevan Krishna Khaklary

Neutrosophic Systems with Applications

This article studies Regular Anti-open sets and Generalised Regular Anti-open sets within a topological framework, addressing the limited development of anti-open structures in generalised topology. We introduce Regular Anti-open sets and establish their fundamental properties. The study is extended by defining Generalised Regular Anti-open sets, providing a broader and more flexible class of sets. Furthermore, the notions of GR-interior and GR-closure are introduced and analyzed, and their essential properties are obtained. The results contribute to a clearer understanding of generalized anti-open structures and provide a basis for further research in topology.

Speeding Up Image-To-Art Transformation Using Pointillism And Dynamic Brush Techniques, Iman S. Mohammed

Baghdad Science Journal

It is a new digital process inspired by the pointillist technique of artist Georges Seurat and seeks to recreate Impressionist paintings in digital form in record time, as opposed to the long duration needed to create a painting by hand. The proposed algorithm breaks down the original image into the components of primary colors with the help of the Self-Organizing Maps algorithm. It's like how Seurat mixed his colours, which, when viewed from afar, creates a complete picture from small dots of color. The methodology has a number of technical improvements, such as a halo effect around the main components …

Hs-Amm: Hierarchical Spatial Attention Mechanism Model For Facial Expression Recognition Based On Deep Learning, Ahmed Oday, Azizi Abdullah, Shahnorbanun Sahran

Baghdad Science Journal

Facial expression recognition (FER) is a significant challenge due to the complexity of multi-class categorization and the subtle differences between emotional factors, with existing deep learning models often struggling to leverage hierarchical local features for accurate distinction. To find a solution, this study proposes a two-method approach, aiming to enhance FER accuracy by refining classification through the arousal-valence dimension and improving feature extraction via an adaptive attention mechanism to resolve the difficulty of differentiating semantically close expressions. The proposed methodology combines (1) a two-level classification strategy, first, performing fine-grained classification, and second, multi-class categorization by grouping expressions into neutral, positive, …

Screening Key Factors In Cassava-Based Bioethanol Production By Simultaneous Saccharification And Fermentation, Safri Ishmayana, Alief R. P. Andrianto, Shinta D. R. Apandi, Debora Tamaris Horasio, Muhammad Fadhlillah, Irwan Kurnia, Riza Apriani, Fajriana S. Nurrusyda, Ukun M. S. Soedjanaatmadja

Baghdad Science Journal

Simultaneous saccharification and fermentation (SSF) is considered an efficient approach for bioethanol production from starchy biomass, although its performance is often affected by multiple variables acting at different stages of the process. In the present study, Plackett–Burman experimental design was used as a screening method to evaluate factors affecting ethanol production from cassava flour using Saccharomyces cerevisiae. Eleven variables related to both liquefaction and SSF stages were examined, including temperature, pH, processing time, agitation, enzyme loading, nitrogen supplementation and inoculum level, arranged in twelve experimental runs. As the experimental design was performed without replication, the effect of each variable …

International Law Situations: Economic Warfare At Sea, Raul (Pete) Pedrozo

International Law Studies

This Situation examines what measures belligerents may take against enemy and neutral merchant ships at sea during an international armed conflict. Operation Epic Fury serves as the backdrop to demonstrate the applicability of economic warfare during international armed conflict at sea. Iranian-flagged and Guyanese-flagged vessels are operating in service of the Iranian economy and war effort. These ships may be captured as part of U.S. economic warfare against Iran.

Ndls Communicator: Week Of 05.26.26, Notre Dame Law School

NDLS Communicator

The Latest News

• Celebrating the Commencement of Notre Dame Law School’s Class of 2026
• Commencement 2026: Dean G. Marcus Cole’s charge to the graduating class
• Commencement 2026: Speech by Distinguished Professor of the Year Fr. Pat Reidy, C.S.C.
• Notre Dame Law School announces awards for 2026 graduating class
• Notre Dame Law Graduate Kyung Mo Kang ’26 J.S.D. Examines Accountability for Human Rights Violations in North Korea Notre
• Notre Dame Law Graduate Tyson Weeks '26 J.D. Receives 2026 Equal Justice Works Regional Public Interest Award
• Paolo Carozza provides insight on Pope Leo XIV’s encyclical Magnifica humanitas

Faculty Briefs

• Dean G. Marcus …

Migrainous Thoracalgia In A Patient With Chronic Migraine And Coronary Vasospasm: A Case Report, Dean Zeldich, Victor S. Wang, Cyril David, Clinton Lauritsen, Claire E.J. Ceriani

Department of Neurology Faculty Papers

Migrainous thoracalgia (MT) refers to chest pain (CP) potentially arising from a neurologic etiology, often temporally linked to migraine. We present a 57-year-old woman with chronic migraine who developed recurrent CP typically following migraine attacks. Despite multiple cardiac evaluations, including cardiac MRI and catheterizations, she was diagnosed with fibromuscular dysplasia, spontaneous coronary artery dissection, and coronary microvascular disease. Her CP partially responded to nitroglycerin and improved modestly with migraine control using ubrogepant and calcium channel blockers. During admission for refractory migraine, she received intravenous lidocaine, magnesium, ketorolac, and neuroleptics, resulting in several months of CP remission despite brief migraine relief. …

The Phosphatidylinositol 3-Kinase As A Potential Diagnostic Marker For Beta-Thalassemia And Its Correlation With Hemoglobin Profiles, Duaa K. Mohammed, Layla O. Farhan

Baghdad Science Journal

The erythropoietic dysfunction and iron insufficiency associated with β -Thalassemia (β -TH) underscore the importance of augmenting traditional diagnostic techniques with independent biomarkers, beyond standard panels. This single-center case–control study (n = 120 β -TH major, 55; β -TH intermedia, 25; control, 40) examined whether circulating phosphatidylinositol-3-kinase (PI3K) distinguishes patients from controls and correlates with hemoglobin fractions. The serum PI3K was significantly higher in β -TH (p < 0.001), with excellent discrimination tested in serum (AUC = 0.934; optimal cut-off > 1301 pg/mL; sensitivity 100%, specificity 80%). In a multivariable model, HbA₂% and HbF% were both positively and independently associated with PI3K. These results are biologically consistent with the interaction of erythroid …

Reinforcement Threshold Controlled Modernn Tuned With J* And QMax Bilingual Spatiotemporal Attention Fusion For Inclusive Real-Time Sign Language Interpretation, Harapriya Kar, P Viswanathan

Baghdad Science Journal

Deaf communities still struggle with communication, partly due to the inefficiency of current sign language recognition systems, their poor generalization, and their inability to manage regional and linguistictions. This work suggests a novel architecture that blends attention-based spatiotemporal processing (RTC-ModeRNN-BSF) with a reinforcement threshold–controlled ModeRNN to solve these problems. The model adapts its computation based on the complexity of the input gesture, using between 2 and 8 attention slots, while gradually reducing exploration during training ($\varepsilon$: 0.9→ 0.1). Dual-stream memory pathways are optimized using joint log-likelihood maximization (J-Star) and computational pruning (Q-Max) to capture both immediate sequential patterns (C_{t …}

Cross-Scale Feature Learning For Alzheimer's Disease Detection Via Hybrid Deep Networks, Essam Haidar Majeed, Fallah H. Najjar, Safaa M. Kareem, Munaf H. Kareem, Duha Amer Mahdi

Baghdad Science Journal

Alzheimer's disease (AD) is a chronic neurodegenerative disorder that is the leading causeof dementia. Early diagnosis is essential for interepting the progressionof cognitive decline and favoring the clinical outcome, although conventional diagnostic means may not be able to identify early symptomatic forms. In this manuscript, we propose a residual attention-based hybrid deep learning model withthe EfficientNetB1 backbone for improving the classification of AD based on structural MRI data obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and ADNI1 datasets. The network structure integrates two-dimensional (2D) convolutional feature extraction, multi-head self-attention for building the global context information, and residual learning. The …

Evaluation Of Serum Eotaxin And Related Biomarkers In Focal And Generalized Epilepsy, Fenik Ahmed Nadir, Firas Shawqi Algburi, Zeyan Abdullah Ali, Shaima Ahmed Nadir

Baghdad Science Journal

Epilepsy is a common brain disorder, characterized by spontaneous recurrent seizures, with associated neuropsychiatric and cognitive comorbidities and increased mortality. Assessment of serum Eotaxin and related biomarkers offers useful information about neuroinflammatory activity and metabolic imbalance in epilepsy, and may have potential value as diagnostic and prognostic tools. The aim of this study was to evaluate the association between Eotaxin, Intelectin-1, Kynurenine, and Proprotein Convertase-1 and epilepsy. The study consisted of 90 subjects who were classified into three groups: 30 healthy controls, 31 patients with focal epilepsy, and 30 patients with generalized epilepsy. Serum samples were obtained, and biomarker concentrations …

A Goal Programming Approach For Finding The Best Compromise Solution Of Multiobjective Linear Programming Under Neutrosophic Environment, Sultan S. Alodhaibi, Hamiden Abd El- Wahed Khalifa

Neutrosophic Systems with Applications

Decision problems often involve multiple objectives that conflict, making simultaneous optimization impossible. These problems require trade-offs to achieve a solution that balances the competing goals. In this paper, the detailed discussion that is related to linear programming (SVTrNFMOLP) with single valued trapezoidal neutrosophic numbers is made. Furthermore, this study deals with all the related parameters and discussion. As rank function and due to its definition, the SVTrNFMOLP is transformed in the crisp MOLP. It is noticed that goal programming is best to get the best compromise solution. The advantages of the proposed approach are: The use of Tr allows the …

Expert Recommendations To Strengthen Chikungunya Outbreak Surveillance And Reporting For Traveler Health Protection, Daniel C. Payne, Karoun H. Bagamian, Jeffery Goad, Nathan D. Grubaugh, Michael A. Johansson, Moritz U. G. Kraemer, Eyal Leshem, Francesca F. Norman, Alfonso J. Rodríguez-Morales, Henrik Salje, Stephen Thomas, Scott C. Weaver, Lindsey A. Laytner, Rebecca Sturgis, Suzanne K. Scheele, Davidson H. Hamer

Pharmacy Faculty Articles and Research

Chikungunya, a debilitating mosquito-borne disease caused by chikungunya virus, has surged dramatically in the past two decades. Chikungunya outbreaks can intensify rapidly, with infections posing a significant endemic health burden in tropical/subtropical areas and for travelers. Health professionals require timely and accurate outbreak information to adequately protect travelers and assess chikungunya risk. However, detection is often insufficient in the areas most susceptible to outbreaks, leading to diagnostic and reporting delays. Consequently, travelers are often unaware of increased chikungunya infection risk at their destination. We assessed chikungunya surveillance and reporting resources, and we developed expert recommendations for traveler health protection. Because …

If You’Re Doing This Correctly, There Is A Cost: An Exploration Of The Work–Family Trade-Off Of Female Academics In Australia, Fleur Sharafizad

Research outputs 2022 to 2026

Purpose: This paper aims to explore how the gendered structures and expectations of neoliberal academic institutions inform and shape work–family trade-off considerations for women academics in Australia. It also sheds light on how these negotiations, and at times, the ensuing career or family gap, are experienced. In doing so, the paper deepens our understanding of the systematic barriers which do not only lead to gender inequalities in academia but also have broader individual and social implications. Design/methodology/approach: This exploratory study is based on qualitative semi-structured interviews, which were thematically analysed to identify how female academics navigate the expectations associated with …

Mining And Sustainable Development In Sierra Leone: The Role Of Institutional Quality, Ibrahim Massaquoi

Journal of Sustainable Mining

While mining can drive economic growth, create jobs, and promote infrastructural development, it also poses risks to the environment, human health, and social well-being. Therefore, to achieve sustainable development, responsible mining is crucial. This study empirically examines the role of institutional quality in the mining-sustainable development nexus in Sierra Leone. With the use of the planetary pressures-adjusted human development index (PHDI) as a comprehensive measure of sustainable development, the study is able to integrate economic, social, and environmental dimensions. The autoregressive distributed lag (ARDL) model confirms the existence of both short-run and long-run dynamics. The results of the study show …

Hope And The Handiwork Of Varda: Celestial Signposts Of The Music’S Mending, Kristine Larsen

Journal of Tolkien Research

Varda, the Queen of the Valar, wields tremendous cosmological power in Tolkien’s legendarium. It is not without cause that Melkor fears her, as her power is literally written in the stars for all to see. Not only do her bright stars and constellations provide light against the darkness, but two of her creations – the Valacirca (Big Dipper) and Menelmacar (Orion) – are direct and intentional warning signs to Melkor of his unavoidable defeat in the Last Battle at the end of days. Indeed, Melkor’s capture by the armies of the Valar at the end of the First Age is …

Distributed Self-Control Of Dynamical Networks By Adaptive Link Weight Adjustments, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

Conventional control theory considers controlling the behavior of a dynamical system toward a desired state by injecting externally designed inputs into the system. Meanwhile, most complex systems exhibit self-organization through local information exchanges among individual dynamical components that are embedded within a complex network of interactions. The self-organizing dynamics of those systems are realized in a highly distributed manner using locally available information only, and therefore, their behaviors have not been discussed much from a control theoretic viewpoint. Meanwhile, adaptive networks, i.e., dynamical networks whose states and topologies coevolve at similar time scales, can offer a promising theoretical framework in …