Entire DC Network | Open Access Articles | Digital Commons Network™

Finite Simple Groups In Which All Cyclic Subgroups Of Prime Power Order Are Ti-Subgroups, Yuexue Wang, Rulin Shen

Baku Mathematical Journal

In this paper, we prove that a finite non-abelian simple S is a PCTI-group if and only if S is or the Janko simple group J1.

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The Boundedness Of Maximal Operators In Calderon Weighted B-Morrey Spaces, Sabina H. Kasumova, Sevinc Z. Khaligova

Baku Mathematical Journal

In this paper the boundedness of the B-maximal operator from the BMorrey space is proved.

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F-Harmonic Vectors Fields With Potential, Ferdinand Hountondji Koudjo

Baku Mathematical Journal

The problem studied in this paper is related to the f-harmonicity with potential of a vector field from a Riemannian to its tangent bundle TM equipped with the Sasaki metric. We show that an f-harmonic vector field with potential is parallel if and only if f is constant function. We also characterize the f-harmonic vector fields with potential on some three Riemannian Lie groups.

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Formulas For The Sums Of Some Conditionally Convergent Series, Bella D. Barmak

Baku Mathematical Journal

In this paper, we find formulas for the sums of two families of conditionally convergent series containing arbitrary real parameters, in terms of elementary functions.

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Boundedness Of The Discrete Ahlfors-Beurling Transform On Discrete Weighted Lebesgue Spaces, Amil F. Jabiyev

Baku Mathematical Journal

The Ahlfors-Beurling transform is one of the important operators in complex analysis. This transform plays a crucial role in applications to the theory of quasiconformal mappings and to the Beltrami equation with discontinuous coefficients. The AhlforsBeurling transform has been studied on classical Lebesgue, Morrey, Sobolev, Besov, etc. spaces. However, its discrete version has not been well studied. In this paper, we prove that the discrete Ahlfors-Beurling transform is the bounded operator in discrete weighted Lebesgue spaces.

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Application Of The Finite Integral Transformation Method To The Solution Of Mixed Problems For Antiparabolic Equations, Elmagha A. Gasymov

Baku Mathematical Journal

In the paper we study a mixed problem for an antiparabolic equation. Applying the finite integral transformation to the solution of the mixed problem under consideration, we obtain an appropriate spectral problem. Under certain conditions we study the spectral problem and establish some expansion formulas. Applying the inverse integral transformation, we obtain the analytic representation of the mixed problem under consideration.

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The Uniqueness Of Reconstruction Of Diffusion Operators With Boundary Condition Depending Quadratically On The Spectral Parameter, Ibrahim M. Nabiev, Leyla I. Mammadova, Guldane S. Mammedzadeh

Baku Mathematical Journal

The article considers diffusion operators with non-separated boundary conditions, one of which contains a quadratic function of the spectral parameter. Some properties of the spectrum of the operators under consideration are given, uniqueness theorems for the solution of inverse problems of reconstruction of the corresponding boundary value problems are proved.

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Digital Financial Innovation, Currency Outside Banking System, And Inflationary Rate In Nigeria: Implications For Exchange Rate Management, Philip Ifeakachukwu Nwosa

Bullion

Digital financial innovation has expanded globally, supporting cashless systems and reducing currency outside banks and inflation in advanced economies. In Nigeria, however, rising use of digital payment platforms has coincided with increasing inflation and higher cash in circulation. This study explores the relationship among digital financial innovation, currency outside the banking system, and inflation from 2009 to 2024, while assessing implications for exchange rate management. Findings show that despite rapid digital payment growth, both inflation and cash outside banks remain elevated, creating challenges for effective exchange rate stability. The study adopts a descriptive research design to examine the relationship among …

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Transforming Nursing Clinical Education: The Power Of Environment, Student Motivation, And Clinical Instructors, Lia Mulyati, Nur Wulan, Abdal Rohim

Jurnal Keperawatan Indonesia

Clinical learning is an important component in the formation of nursing students’ professional competence. The clinical environment, student motivation, and the role of clinical instructors are factors that influence the achievement of learning outcomes in nursing clinical practice. However, the relationship between these factors is still not fully understood. This study aims to examine the relationship between the clinical environment, student motivation, and the role of clinical instructors, and to determine how these three factors contribute to learning outcomes in nursing clinical practice. A quantitative design with a cross-sectional survey approach was used. The sample consisted of 117 nursing students, …

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The Fall Of Chevron: What It Means For Irs Authority And Tax Law, Reagan Honn

Southern Illinois University Law Journal

This Note examines the collapse of Chevron deference and its profound implications for federal tax law, where complexity and ambiguity are the rule rather than the exception. For decades, Chevron allowed courts to defer to the Internal Revenue Service’s reasonable interpretations of ambiguous statutes, promoting uniformity, predictability, and administrability across the tax system. In Loper Bright Enterprises v. Raimondo, the U.S. Supreme Court dismantled that framework, shifting interpretive authority decisively to the judiciary. This Note argues that the loss of Chevron destabilizes tax administration by inviting inconsistent judicial interpretations, increasing taxpayer challenges, and undermining reliance on agency guidance. It further …

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Held Hostage By High Prices: How The Pharmacy System Makes You Pay More, Riley Harris

Southern Illinois University Law Journal

This Note examines how current regulatory policies and practices of Pharmacy Benefit Managers (PBMs) have led to increased prescription drug costs and diminished patient access to medications. Notably, Schmidtknecht v. OptumRx Inc. illustrates the real-world consequences of current PBM regulation, which allows them to increase medication prices without warning by controlling which pharmacies and insurance plans will cover certain prescription drugs. The Note analyzes existing federal regulations under the Civil Monetary Penalties Law (CMPL), the Patient Right to Know Drug Prices Act (2018), and the Know the Lowest Price Act of 2018, which seek to increase drug pricing transparency and …

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Effects Of Screen Time On Childhood Development, Elizabeth Bridge

Psychology Student Publications

This science communication paper explores the psychological effects of screen time on childhood development. It emphasizes the effects on childhood intelligence, social skills, language skills, emotional regulation skills, and mental health.

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The Predictive Ability Of Child Characteristics And Parenting Factors On Four Developmental Domains In Toddlers, Melly Latifah, Dwi Hastuti, Neti Hernawati, Reisi Nurdiani, Raihan Ainun Hasanah

Jurnal Keperawatan Indonesia

Stunting is a chronic condition that has a significant impact on child development. This phenomenon is primarily caused by prolonged nutritional deficiency, especially during the first 1,000 days of life. In addition, as family factors also play a crucial role in children’s development, this study aims to analyze the influence of child and family characteristics, mother–child attachment, parenting practices, and the nutritional status of children (stunted/non-stunted) on children’s gross motor, fine motor, language, and personal–social skills. This study used a quantitative design with an explanatory approach involving 202 mother–child pairs with children aged 12–36 months. The findings show that healthcare …

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Unassuming Antiquity: The 1939-1940 New York World’S Fair, Mary Rose Comerford

History & Classics Student Scholarship

This paper examines the self-representation of Japan at the 1939 New York World’s Fair through the country’s displays and gifts to the United States. American world’s fairs were events that many countries wanted to participate in, to showcase their innovation, industry, and culture. It was a place for them to enter the international stage and control their image of themselves to the rest of the world. Japan’s choice of displays varied at different points in history depending on what would best serve the country’s diplomatic interests. In 1939, following its military aggression in China, Japan looked for a chance to …

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The Role Of Transformable Facade Technologies In Enhancing The Architectural Environment Quality In Educational Buildings, Waad Marawan Elashry, Ahmed Eltantawy Elmaidawy, Esraa Elazab

Mansoura Engineering Journal

In recent times, Educational Buildings development has become an increasingly important issue at all locations, even in the areas with the least means. Progress in the field of technology has impacted the development of architecture and modern technologies have provided for the architect enormous possibilities in the formation and design of buildings. The facade of a building plays a crucial role in providing environmental comfort, depending on the type of envelope and design. Architects and engineers need to consider many issues when working with facade designs, including environmental issues, aesthetic appearance, comfort of building occupants, and the view; these aspects …

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A General Weighting Theory For Ensemble Learning: Beyond Variance Reduction Via Spectral And Geometric Structure, Ernest Fokoue

Articles

Ensemble learning is traditionally justified as a variance-reduction strategy, explaining its strong performance for unstable predictors such as decision trees. This explanation, however, does not account for ensembles constructed from intrinsically stable estimators-including smoothing splines, kernel ridge regression, Gaussian process regression, and other regularized reproducing kernel Hilbert space (RKHS) methods whose variance is already tightly controlled by regularization and spectral shrinkage. This paper develops a general weighting theory for ensemble learning that moves beyond classical variance-reduction arguments. We formalize ensembles as linear operators acting on a hypothesis space and endow the space of weighting sequences with geometric and spectral constraints. …

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Modulation Of Behavior In The Medicinal Leech Due To Injury And Stress, Ella Dockendorf

Honors Thesis

Many studies have focused on trying to discover the fundamental processes of pain and stress. This is rather difficult for pain especially, since pain-relate behaviors include multiple components of which some are emotional while others are sensory. In this study, we use an operant conditioning assay and phototaxis assay to determine the behavioral effects of injury and stress within Hirudo verbana. Operant conditioning involved placing the animals in a two-chamber arena, with one chamber being illuminated and the other being completely dark with a pea gravel barrier in the connecting section of the arena. Normal animals improve their latency …

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ความเหมาะสมของการนำค่าเสียหายในเชิงลงโทษมาใช้ในบริบทของประเทศไทย (The Appropriateness Of Applying Punitive Damages In The Context Of Thailand), Sakda Thanitcul

Chulalongkorn University Law Journal

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Determining Factors Leading To Sobriety In Native American Graduates Of A Joint-Jurisdictional Court Program, Ryan Fisher

Walden Dissertations and Doctoral Studies

The issue of driving under the influence (DUI) is a continuous problem in rural communities, especial those in Indian Country. Alcohol use and abuse has long been a health concern for these communities contributing to higher mortality rates and increased incarceration rates for American Indian / Alaskan Native (AIAN) populations. Wellness courts, using the problem-solving court model, have been successful in helping DUI offenders achieve sobriety and wellness. While the model has been successful, there remains a lack of qualitative research into why participants find success in these programs; especially marginalized populations such as AIAN. This phenomenological qualitative study was …

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Design And Implementation Of A Solar-Powered Autonomous Drain-Cleaning Robot With Iot And Vision-Based Debris Detection, Nik Nor Afiza Che Isa, Nor Zaihar Yahaya

Platform: A Journal of Engineering

Drain blockages caused by dried leaves and debris are a recurring issue in residential areas, particularly in tropical regions such as Malaysia leading to hygiene risks and increased manual maintenance effort. This paper presents the design and implementation of a solar-powered autonomous drain-cleaning robot for domestic applications. The system integrates a mobile robotic platform with a 4-DOF robotic arm, YOLOv8-based vision for real-time debris detection, and Internet of Things (IoT)-based remote monitoring. The robot is built on a Raspberry Pi 5 and incorporates VL53L0X time-of-flight (ToF) sensors, INA219 power sensors, NEO-6M GPS and a USB webcam. Detected debris triggers an …

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Kinetic Study On The Inactivation Of Rhodotorula Mucilaginosa And Aspergillus Niger In Drinking Water Using Moringa Oleifera Seed Extract, Siti Nur Syazana Zakaria, Noor Yahida Yahya, Che Ku Mohammad Faizal Che Ku Yahya, Noor Amirah Abdul Halim

Platform: A Journal of Engineering

Fungal contamination in drinking water distribution systems poses emerging health and operational risks due to biofilm formation and resistance to conventional disinfectants. This study evaluates the antifungal disinfection performance of Moringa oleifera seed extract against Rhodotorula mucilaginosa and Aspergillus niger in aqueous systems. Jar test experiments were conducted under controlled conditions (pH 7, 26-27o C), and fungal inactivation kinetics were analysed using the Chick-Watson model. At Ct values ranging from 2 to 10 mg.min L–1, the maximum inactivation achieved was 2.9-log₁₀ for Rhodotorula mucilaginosa and 0.9-log₁₀ for Aspergillus niger, indicating species-dependent susceptibility. The delayed inactivation behaviour suggests an initial lag …

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Cfd Modelling Investigation Of Hydrocyclone Solid Separation Efficiency In Petroleum Upstream Oil Production, Yuvanesh Jeva, Mohammad Shakir Nasif

Platform: A Journal of Engineering

```python text = """In the wide landscape of upstream oil production, an essential challenge engineers often face is the contamination of crude oil with impurities such as sand. The inevitable drawbacks of sand contamination, such as pig blockages and control valve failures, reinforce the necessity of separators. Various types of separators are used in industry to remove impurities, including three-phase separators, gravity separators, and hydrocyclone separators. Hydrocyclone is a very efficient alternative, with a simpler design and higher throughput capacity than its competitors. A computational fluid dynamics (CFD) analysis of the hydrocyclone solid separation efficiency is presented in this work. …

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Neural Network-Based Energy Management System For Standalone Pv Systems With Hybrid Battery–Supercapacitor Storage, Muizzudin Saifulrehan, M Fakhizan Romlie

Platform: A Journal of Engineering

Standalone photovoltaic (PV) systems are essential for off-grid applications but suffer from solar intermittency, resulting in an unreliable power supply. Batteries are commonly integrated into PV systems to provide energy storage; however, they are less effective in handling rapid power fluctuations. To overcome this limitation, hybrid energy storage systems (HESS) combining batteries and supercapacitors are employed to utilise their complementary characteristics. This study proposes a neural network-based energy management system (EMS) for standalone PV systems using a hybrid battery-supercapacitor HESS. The objectives are to develop a neural network-based controller for optimal power sharing between battery and supercapacitor, and to evaluate …

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Staff Education To Improve Mental Health Staff Knowledge On Mobile Health Applications For Medication Adherence, Chipasha Chingwengwezi

Walden Dissertations and Doctoral Studies

Despite rising evidence supporting the efficacy of mobile health (mHealth) applications to enhance medication adherence among individuals with mental health conditions, there is little utilization of these applications within mental health facilities. This project aimed to address the issue of implementing an interactive education program to enhance the knowledge of mental health staff and skills in the application of mHealth apps to enhance medication adherence. The main objective of this project was to fill the gap between conducting research and implementing its outcomes by providing staff with the knowledge and skills to incorporate mHealth applications into their daily practice. The …

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Staff Education To Improve Mental Health Access For Underserved Populations Through Telehealth, Kafayat Olabisi Oluwole

Walden Dissertations and Doctoral Studies

This staff education doctoral project evaluated whether structured telehealth training improves psychiatric nurses’ knowledge in delivering care to underserved populations. A gap in practice was identified, as many psychiatric nurses lacked formal training in providing culturally competent and effective virtual mental health services. Guided by the ADDIE model and the Johns Hopkins evidence-based practice framework, a structured educational intervention was implemented with 25 psychiatric nurses. Participants completed pre- and posttests to assess knowledge gained. Results demonstrated an increase in mean scores from 62.8% to 77.4%, reflecting a 14.6% improvement. A paired t test indicated statistical significance (p < .05), confirming the effectiveness of the intervention. These findings suggest that targeted telehealth education enhances psychiatric nurses’ readiness to deliver high-quality, culturally responsive care. This project supports positive social change by improving access to equitable mental health services for underserved populations.

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Lifting Constraints: Venezuelan Oil And Global Market Adjustment, Niloofar Adel, Andrea A. Bastianin, Luca Pedini, Marta Visconti

Fondazione Eni Enrico Mattei Working Papers

We quantify the contribution of Venezuela’s oil sector collapse to changes in global oil market responsiveness after 2007. We extend the multi-country structural model of Baumeister and Hamilton (2024) by modeling Venezuela explicitly and constructing a counterfactual production path that abstracts from the 2007 institutional shift. This counterfactual isolates the mechanical contribution of Venezuelan supply and provides an upper bound on its impact. We document a sharp decline in global short-run supply elasticity and a more than doubling of the oil price multiplier after 2007. Decomposition results show that this increase is driven primarily by a reduction in the effective …

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Employing Effective Solution Methods For Caputo-Based Sequential Fractional Models, Eman A. A. Ziada, Mohamed F. Abouelenein, Hijaz Ahmad, Monica Botros

Mathematical Modelling and Numerical Simulation with Applications

This paper investigates a class of nonlinear sequential singular fractional differential equations (FDEs) involving Caputo derivatives. This type of equation has several key advantages that enhance its value, such as capturing memory and hereditary effects. Viscoelastic materials and anomalous diffusion, as well as biological systems, can take advantage of this feature. In addition, fractional derivatives possess a sequential structure that enables the implementation of multiscale processes and hierarchical memory responses. Moreover, it provides an effective and flexible framework for solving differential equations compared to classical differential equations. It can therefore be used to model complex systems in physics, biology, and …

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Optimal Control Strategies For Infectious Diseases: A Numerical Simulation Approach, M. Abu Salek, Jannatun Nayeem, Romana Yesmin, M. Haider Ali Biswas, M. Humayun Kabir

Mathematical Modelling and Numerical Simulation with Applications

Various infectious diseases, such as Tuberculosis and Hepatitis B virus (HBV), caused by Mycobacterium bacteria and hepatitis B virus, respectively, pose serious threats worldwide. This paper examines the spread of these diseases using a mathematical model that incorporates control measures, including vaccination and awareness programs. We use a system of differential equations with control variables and apply Pontryagin's principle to determine optimal control strategies. The stability of the Disease Free Equilibrium (DFE) has been analysed and demonstrated to be both locally and globally asymptotically stable when the basic reproduction number remains below unity, thereby ensuring disease elimination. Furthermore, the Endemic …

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On The Scientific Stature Of Data Science: The Epistemological Unicorn, Ernest Fokoue

Articles

Data Science has ignited unprecedented academic, industrial, and pedagogical fervor, yet its status as a \textit{science} in the classical sense---comparable to physics or biology---remains profoundly unsettled. This article interrogates the epistemological foundations of Data Science by examining its hybrid theoretical lineage, from the Universal Approximation Theorem to the No-Free-Lunch Theorems, with special emphasis on the fundamental Bayesian optimality results for both regression and classification. We argue that Data Science is in a vigorous \textit{gestational period}, characterized not by an absence of principles but by a creative tension between empirical pragmatism and deep mathematical theory. The Cross-Validation score emerges as the …

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Learning Ordinal Geometry: Semantic–Aware Kernels For Ordered Categorical Data, Ernest Fokoue

Articles

Ordinal data arise ubiquitously in survey research, psychology, medicine, economics, and recommender systems, yet kernel methods for such data typically rely on either nominal encodings or arbitrary numeric codings. The former discards order information; the lat- ter imposes a fictitious metric structure. This paper develops a principled framework for kernel design on ordinal scales and introduces a new class of Semantic–Aware Ordinal Ker- nels (SAOK) that simultaneously capture ordinal order and semantic proximity between categories. We begin by formalizing order–preserving embeddings of finite chains and characterizing a broad family of chain distances that are conditionally negative definite. Through Schoen- berg …

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Full-Text Articles in Entire DC Network

Finite Simple Groups In Which All Cyclic Subgroups Of Prime Power Order Are Ti-Subgroups, Yuexue Wang, Rulin Shen

Baku Mathematical Journal

The Boundedness Of Maximal Operators In Calderon Weighted B-Morrey Spaces, Sabina H. Kasumova, Sevinc Z. Khaligova

Baku Mathematical Journal

F-Harmonic Vectors Fields With Potential, Ferdinand Hountondji Koudjo

Baku Mathematical Journal

Formulas For The Sums Of Some Conditionally Convergent Series, Bella D. Barmak

Baku Mathematical Journal

Boundedness Of The Discrete Ahlfors-Beurling Transform On Discrete Weighted Lebesgue Spaces, Amil F. Jabiyev

Baku Mathematical Journal

Application Of The Finite Integral Transformation Method To The Solution Of Mixed Problems For Antiparabolic Equations, Elmagha A. Gasymov

Baku Mathematical Journal

The Uniqueness Of Reconstruction Of Diffusion Operators With Boundary Condition Depending Quadratically On The Spectral Parameter, Ibrahim M. Nabiev, Leyla I. Mammadova, Guldane S. Mammedzadeh

Baku Mathematical Journal

Digital Financial Innovation, Currency Outside Banking System, And Inflationary Rate In Nigeria: Implications For Exchange Rate Management, Philip Ifeakachukwu Nwosa

Bullion

Transforming Nursing Clinical Education: The Power Of Environment, Student Motivation, And Clinical Instructors, Lia Mulyati, Nur Wulan, Abdal Rohim

Jurnal Keperawatan Indonesia

The Fall Of Chevron: What It Means For Irs Authority And Tax Law, Reagan Honn

Southern Illinois University Law Journal

Held Hostage By High Prices: How The Pharmacy System Makes You Pay More, Riley Harris

Southern Illinois University Law Journal

Effects Of Screen Time On Childhood Development, Elizabeth Bridge

Psychology Student Publications

The Predictive Ability Of Child Characteristics And Parenting Factors On Four Developmental Domains In Toddlers, Melly Latifah, Dwi Hastuti, Neti Hernawati, Reisi Nurdiani, Raihan Ainun Hasanah

Jurnal Keperawatan Indonesia

Unassuming Antiquity: The 1939-1940 New York World’S Fair, Mary Rose Comerford

History & Classics Student Scholarship

The Role Of Transformable Facade Technologies In Enhancing The Architectural Environment Quality In Educational Buildings, Waad Marawan Elashry, Ahmed Eltantawy Elmaidawy, Esraa Elazab

Mansoura Engineering Journal

A General Weighting Theory For Ensemble Learning: Beyond Variance Reduction Via Spectral And Geometric Structure, Ernest Fokoue

Articles

Modulation Of Behavior In The Medicinal Leech Due To Injury And Stress, Ella Dockendorf

Honors Thesis

ความเหมาะสมของการนำค่าเสียหายในเชิงลงโทษมาใช้ในบริบทของประเทศไทย (The Appropriateness Of Applying Punitive Damages In The Context Of Thailand), Sakda Thanitcul

Chulalongkorn University Law Journal

Determining Factors Leading To Sobriety In Native American Graduates Of A Joint-Jurisdictional Court Program, Ryan Fisher

Walden Dissertations and Doctoral Studies

Design And Implementation Of A Solar-Powered Autonomous Drain-Cleaning Robot With Iot And Vision-Based Debris Detection, Nik Nor Afiza Che Isa, Nor Zaihar Yahaya

Platform: A Journal of Engineering

Kinetic Study On The Inactivation Of Rhodotorula Mucilaginosa And Aspergillus Niger In Drinking Water Using Moringa Oleifera Seed Extract, Siti Nur Syazana Zakaria, Noor Yahida Yahya, Che Ku Mohammad Faizal Che Ku Yahya, Noor Amirah Abdul Halim

Platform: A Journal of Engineering

Cfd Modelling Investigation Of Hydrocyclone Solid Separation Efficiency In Petroleum Upstream Oil Production, Yuvanesh Jeva, Mohammad Shakir Nasif

Platform: A Journal of Engineering

Neural Network-Based Energy Management System For Standalone Pv Systems With Hybrid Battery–Supercapacitor Storage, Muizzudin Saifulrehan, M Fakhizan Romlie

Platform: A Journal of Engineering

Staff Education To Improve Mental Health Staff Knowledge On Mobile Health Applications For Medication Adherence, Chipasha Chingwengwezi

Walden Dissertations and Doctoral Studies

Staff Education To Improve Mental Health Access For Underserved Populations Through Telehealth, Kafayat Olabisi Oluwole

Walden Dissertations and Doctoral Studies

Lifting Constraints: Venezuelan Oil And Global Market Adjustment, Niloofar Adel, Andrea A. Bastianin, Luca Pedini, Marta Visconti

Fondazione Eni Enrico Mattei Working Papers

Employing Effective Solution Methods For Caputo-Based Sequential Fractional Models, Eman A. A. Ziada, Mohamed F. Abouelenein, Hijaz Ahmad, Monica Botros

Mathematical Modelling and Numerical Simulation with Applications

Optimal Control Strategies For Infectious Diseases: A Numerical Simulation Approach, M. Abu Salek, Jannatun Nayeem, Romana Yesmin, M. Haider Ali Biswas, M. Humayun Kabir

Mathematical Modelling and Numerical Simulation with Applications

On The Scientific Stature Of Data Science: The Epistemological Unicorn, Ernest Fokoue

Articles

Learning Ordinal Geometry: Semantic–Aware Kernels For Ordered Categorical Data, Ernest Fokoue

Articles