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Perspectives Of Russian Language Educators On Meeting The Needs Of Heritage And L2 Learners In Mixed Classes, Maria Goebert

Russian Language Journal

In less commonly taught languages, such as Russian, heritage and non-heritage learners often share the same classes. Teachers in these settings must differentiate instruction to meet the diverse needs of their students. Online teaching adds an additional layer of complexity that instructors must address in their course design. This qualitative study explores the perspectives of 12 Russian language educators, working across various educational settings, on the language learning needs of heritage and non-heritage learners in mixed classes. It examines how these teachers adapt their instruction to support their students and meet the demands of different teaching modalities. The study also …

Understanding The Fidelity And Specificity Of Dna Polymerase I, Bill R. Miller Iii, Andrew V. Yeager, Jake A. Collins, Alexis Blake, Elise Tate, Carol A. Parish, Eugene Y. Wu

Chemistry Faculty Publications

High-fidelity DNA polymerases employ complex mechanisms to catalyze template-dependent DNA synthesis while quickly discarding mismatches. Atomic-level structural details about short-lived states during nucleotide discrimination are necessary to gain insight into the kinetic checkpoints that contribute to fidelity. We performed microsecond molecular dynamics simulations of DNA polymerase I, large fragment, from Bacillus stearothermophilus (Bacillus fragment, or BF) in complex with a template guanine and a mismatched thymidine triphosphate to observe the early events in the process of selection against a mismatch. Although the nucleobases formed a wobble base pair early, the mismatched pair was blocked from fully entering the active site …

Novel Physical And Biological Applications Of Carbon Ion Radiotherapy, Danushka Seneviratne, Prapannajeet Biswal, Sunil Krishnan

The Brown Foundation: Institute of Molecular Medicine

Carbon ion radiation therapy (CIRT) is a high-LET radiotherapy, which distinguishes itself from traditional low-LET radiation, such as photons and protons, through its unique physical aspects, biological attributes, and the dramatically increased damage it causes within cellular DNA. Given its distinctive characteristics, it is expected to improve the therapeutic ratio of radiation treatments and enhance treatment outcomes in traditionally radiation-resistant tumor histologies. Despite these unique properties, much remains to be understood regarding the clinical use of CIRT before its full potential can be realized. In this review, we summarize the distinct advantages of CIRT with regard to its physical and …

Mental Health And Beliefs About Abortion Access Following Changes To Reproductive Healthcare Laws In 2022: Findings From Oklahoma, Munjireen Sifat, Laili K. Boozary, Tina N. Le, Julia Mcquoid, Brittany Zaring-Hinkle, Sarah Tonkin, Lizbeth Benson, Bingjing Mao, Motolani Ogunsanya, Ruosi Shao, Amy M. Cohn, Allyson Shortle, Darla E. Kendzor

Department of Medical Oncology Faculty Papers

INTRODUCTION: A secondary analysis of cross-sectional survey data was conducted to characterize beliefs about abortion access in Oklahoma, measure stress associated with the overturn of Roe vs. Wade (2022), and evaluate the potential relationship between post-Roe stress (PR stress) and mental health.

METHODS: From August through September 2022, adult Oklahomans (N = 1793) were surveyed about their sociodemographic characteristics, beliefs about abortion access, frequency of past-month stress related to the overturn of Roe vs. Wade, and mental health. Beliefs about abortion access were characterized overall and within sociodemographic groups. The relationship between PR stress and mental health was evaluated, and …

Effect Of Supplementation With Valine, Isoleucine, And Tryptophan Amino Acid On Growth Performance, Carcass Traits, And Nitrogen Excretion, Of Broiler Chickens Fed Low-Protein Diets, Ahmed Abd-Elaziz Abdallah, Mona A. Mahmoud, Mohamed M. Khalifah, Marwa R. El-Deken, Bahaa M. Abou-Shehema, Mohamed E. Farag, Mervat S. E. Yossef

Journal of King Abdulaziz University: Meteorology, Environment and Arid Land Agriculture

This study investigated the effects of supplementing low-protein diets with valine (Val), isoleucine (Ile), and tryptophan (Trp) on growth performance, carcass traits, blood parameters, and nitrogen excretion in broiler chickens. A total of 168 one-day-old unsexed Ross-308 broiler chicks were randomly divided into six groups: a positive control (PC) fed a basal diet, a negative control (NC) fed a low-protein diet supplemented with six essential amino acids, and four groups fed the NC diet with additional Val+Ile (5% or 10%) and Trp (5% or 10%). The results showed that the NC+5% Val+Ile group had significantly higher body weight gain (BWG) …

Molecular Profiling Of Fungi Using Specific Primers, Faten A. S. Alsulaimany

Journal of King Abdulaziz University: Meteorology, Environment and Arid Land Agriculture

Accurate information about fungal identification is very important in various fields, such as medical, agronomic, environmental, and industrial. Traditional morphological and biochemical-based assays can be time-consuming, nonspecific, and fail to detect cryptic or uncultured species. Conversely, molecular profiling based particularly on the use of specific primers in polymerase chain reaction (PCR) methods offers a highly efficient alternative, as it is sensitive, highly specific, and relatively fast. This paper presents general aspects of fungal molecular profiling, the main genetic regions commonly employed: Internal Transcribed Spacer (ITS), Large Subunit (LSU), and Beta-tubulin(β-tubulin), and how to use specific primers for varied …

Spatial Variation Of Heavy Metals Uptake In Ashar Plant (Calotropis Procera) Organs: Implications For Air Pollution Mitigation In Riyadh, Mazen Fawaz Alraddadi, Mohammed Saba, Samir Gamil Al-Solaimani, Mansour Ahmed Alghamdi

Journal of King Abdulaziz University: Meteorology, Environment and Arid Land Agriculture

Phytoremediation is an eco-friendly and effective method that uses plants to reduce heavy metal pollution by absorbing and accumulating contaminants from the environment. This research focused on the native Al-Ashar plant and examined its potential as a bioindicator and agent for cleaning heavy metal contamination near a cement factory in Riyadh, Saudi Arabia. Soil and plant samples were gathered from sites at different distances from the factory (5 m, 50 m, 100 m), including a control site, and analyzed for metals such as copper, iron, manganese, chromium, cobalt, lead, and nickel.

The results showed elevated levels of these metals in …

Information Technology Managers’ Strategies For Securing Organizational Networks From Cyberattacks, Damilola O. Jibowu

Walden Dissertations and Doctoral Studies

Cyberattacks increasingly threaten enterprise networks, creating significant risks to sensitive data and business operations. The purpose of this qualitative pragmatic inquiry was to explore the strategies Information Technology (IT) managers use to secure organizational networks from cyberattacks. Participants consisted of seven experienced IT managers with a minimum of 5 years of network security management experience, purposefully selected through LinkedIn. The study was grounded in integrated systems theory, which emphasizes the interdependence of technology, processes, and risk management within organizations. Data were collected through semistructured interviews and document analysis to examine practical approaches to securing networks. Thematic analysis identified eight core …

Examining Herd Behavior In The Saudi Stock Market, Salah Ahmed Oraby

Journal of King Abdulaziz University: Economics and Administration

The study aims to determine whether market conditions motivate individual investors to engage in herd behavior from 2013 to 2023 for the Saudi stock capital as an emerging market. To achieve this goal, the study used the cross-sectional absolute mean–median difference as the proxy for herd behavior and as the dependent variable, market returns as the independent variable. In addition, the study used descriptive statistics to describe the study variables and the least square regression models to test the study's hypotheses. The overall results for the entire study period found that individual investors exercised irrational herd behavior. However, the yearly …

Development Of A Therapy-Led Follow Up Model For Patients With Long-Term Neurological Conditions Seen In A Rural Spasticity Clinic, Angela Gibbon

South West Clinical School Journal

No abstract provided.

Neuroprotection Of Patients After An Out-Of-Hospital Cardiac Arrest: A Clinical Audit Project Proposal, Rebecca Russell

South West Clinical School Journal

No abstract provided.

Understanding And Knowledge Of Theatre Staff About Surgical Positioning: A Service Evaluation Project Proposal, Naila Janifer

South West Clinical School Journal

No abstract provided.

Effect Of Niobium Addition On Corrosion Behavior, Mechanical Properties, And Microstructures Of U6zr Alloys In An Aerated Environment, Masrukan Masrukan, Djati Handoko, Dede Djuhana, Rohmad Sigit, M. Husna Al Hasa, Wisnu Ari Adi, Siti Mardiah

Makara Journal of Science

The effect of Nb addition on the corrosion behavior of U–6Zr alloys within an aerated, demineralized water (DW) environment (pH 5.61) and its correlation of this addition with the mechanical and microstructural properties of the alloys were investigated. The U–6Zr–xNb alloys (x = 1, 4, and 7 wt.%) were synthesized by arc-melting U, Zr, and Nb. Additionally, the samples were mounted and polished, after which they were subjected to electrochemical corrosion analysis using a potentiostat. This evaluation was conducted in a DW medium (pH 5.6), representing an aerated atmosphere, at room temperature (27°C) and a potentiodynamic scan rate of 1 …

Designing Inclusive Immersive Experiences: Intergenerational Codesign Of Heritage And Underwater Extended Reality For Older Adults, Marius N. Varga, Oksana Hagen, Rory Baxter, Alejandro Veliz Reyes, Ray B Jones, Amir Aly, Dena Bazazian, Gaudl Swen

School of Nursing and Midwifery

Despite rapid advances in immersive Extended Reality technologies, creating inclusive and accessible experiencesfor older adults remains challenging. Many Extended Realityapplications fail to account for the physical, cognitive, andergonomic needs of older users, resulting in low engagement anddigital exclusion. Cultural heritage and underwater environmentsoffer rich contexts for meaningful interaction and wellbeing.This study explored how intergenerational codesign can informthe development of immersive Extended Reality applicationsfor older adults. Two case studies were undertaken within theICONIC project: a Heritage Extended Reality experience recreating Cotehele, a National Trust heritage site, and an UnderwaterTelepresence experience simulating marine environments. Theobjective was to identify design principles supporting accessibility, …

Detection And Correction Of Object Orientation On Production Lines Using Photodetector-Based Systems, Utkirjon Ubaydullayev, Elmira Raxmanova

Technical science and innovation

This article addresses the issue of errors occurring in high-speed production lines, particularly those caused by misalignment or incorrect positioning of manufactured objects. Although production lines have significantly enhanced industrial efficiency worldwide, they are not immune to mistakes, especially under rapid operation conditions. To mitigate these errors without human intervention, the proposed solution integrates photodetector sensor matrices with robotic manipulators. The system uses high-resolution photodetector arrays, such as the Hamamatsu S13774 CMOS Linear Image Sensor, to capture shadows of objects on the production line, converting these into numerical data. This data is then processed using Principal Component Analysis (PCA) and …

Optimization Of The Operational Efficiency Of Transport And Technological Complexes Based On Simulation Modeling, Kamoliddin Juraboevich Rustamov, Gulom Gaffurdjanovich Atabaev

Technical science and innovation

The article presents a comprehensive analytical approach to improving the operational efficiency of transport and technological machines (TTM) based on simulation modeling. The proposed model integrates the economic and reliability characteristics of maintenance (TM) strategies by describing the operation of aggregates, the probability of failures, and transitions between states — operational (W), faulty (F), and restored (R) — as probabilistic processes. Model parameters are identified using statistical data from real operating conditions and adapted to various types of technical systems. Computer simulation experiments are carried out under multiple scenarios of maintenance periodicity, workload intensity, spare parts resource, and repair policy. …

Pengaruh Pendidikan Pencegahan Kekerasan Seksual Berbasis Animasi Terhadap Pengetahuan Dan Sikap Remaja, Lulu Lutpia Muharomah, Irma Darmawati, Asih Purwandari Wahyoe Puspita

Perilaku dan Promosi Kesehatan: Indonesian Journal of Health Promotion and Behavior

Background. Sexual violence is a major problem that impacts the physical and psychological health of adolescents. Prevention efforts are needed through health education that is in accordance with the characteristics of adolescents. Animation media is considered effective because it can convey messages audio-visually and attractively.

Purpose. This study aims to assess the influence of Animation-Based Education on adolescents' knowledge and attitudes regarding the prevention of sexual violence.

Method. The study used a one-group pretest–posttest design with 59 student respondents in Cimahi City. The intervention was in the form of an educational animated video on sexual violence prevention of ±5 minutes …

Instrument Response Functions Of The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Wenlei Chen, James H. Buckley, Marion Sudvarg

Computer Science Faculty Research & Creative Works

The Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope (ADAPT) gamma-ray/cosmic-ray instrument serves as a precursor to the proposed APT mission. The APT mission is designed to improve sensitivity in the MeV-TeV gamma-ray range by an order of magnitude compared to current missions and is optimized for dark-matter and multimessenger research. The ADAPT instrument uses scintillating fibers for particle tracking and sodium-doped cesium iodide (CsI:Na) tiles read out with wavelength shifting (WLS) fibers for imaging, with solid-state silicon photomultipliers (SiPMs) for calorimetry. It includes four layers of imaging calorimeter detectors and scintillating-fiber trackers, functioning both as a Compton and Pair telescope …

Performance Modeling And Improvements On The Grb Source Localization Streaming Pipeline Aboard The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Ye Htet, Ye Htet, Marion Sudvarg, Marion Sudvarg, Honghao Yang, Jeremy Buhler, Roger Chamberlain, Wenlei Chen, Wenlei Chen, James Buckley, Matthew Andrew, Blake Bal, Elisabetta E. Bissaldi, Richard G. Bose, Dana Braun, James H. Buckley, Jeremy Buhler, Eric Burns

Computer Science Faculty Research & Creative Works

The Advanced Particle-astrophysics Telescope (APT) is a mission concept for a space-based gamma-ray telescope whose capabilities include prompt localization of gamma-ray bursts (GRBs) to support multi-wavelength and multi-messenger astrophysics. ADAPT — APT's balloon-borne prototype — can localize GRBs in well under a second using on-board computing hardware. ADAPT will partner with ground-based, fast-slewing optical telescopes, rapidly providing alerts that enable the partner to observe a short-duration burst within a few seconds of detection. In this work, we investigate the utility of having ADAPT issue progressively more accurate location estimates for a GRB as detected Compton events from the burst accumulate …

Fpga-Based Data Processing Using High-Level Synthesis On The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Marion Sudvarg, Marion Sudvarg, Longhao Huang, Boran Yang, Blake Bal, Roger Chamberlain, Jeremy Buhler, Leonardo Di Venere, Leonardo Di Venere, Davide Serini, James Buckley, Matthew Andrew, Blake Bal, Elisabetta E. Bissaldi, Richard G. Bose, Dana Braun, James H. Buckley, Jeremy Buhler

Computer Science Faculty Research & Creative Works

FPGAs are widely deployed on high-energy astrophysics telescopes to read out sensor data from front-end electronics. To support continuous data streams or high trigger rates, FPGA logic may be employed to process raw sensor readout values, reducing the volume of data transmitted, processed, and stored by downstream CPU-based computational platforms. Across instruments, these FPGA-based processing pipelines often have similar semantics and share common stages. However, diverse telescope designs require unique implementations of the constituent algorithms, and the logic is often rewritten from scratch for a new instrument. Writing, simulating, and debugging firmware is difficult and time consuming. However, High-Level Synthesis …

Reconceptualizing Political Socialization In The Philippines, Nathan Mishael O. Go

Social Sciences and Development Review

Political socialization is a lifelong process of learning about political beliefs, attitudes, and motivations. Studies that have attempted to uncover political socialization in the Philippines have associated socialization with political participation and political cynicism; such an association imposes limits on how political socialization is viewed. Thus, this paper attempts to reconceptualize political socialization in the Philippines by introducing nuances and developments in the field of political participation, political socialization, and Philippine society.

Rethinking Governance: Public Choice Theory And The Modern State, John Carlo Colot

Social Sciences and Development Review

This study critically reexamines governance in the modern state through the lens of Public Choice Theory, which challenges the traditional assumption that government officials always act in the public interest. Developed by economists James Buchanan and Gordon Tullock, Public Choice Theory posits that political actors, like individuals in markets, are motivated by self-interest, which can lead to government inefficiencies such as corruption, rent seeking, and policy outcomes that favor private gains over public welfare. By synthesizing recent empirical and theoretical literature from 2020 to 2025, this research explores how individual incentives and institutional arrangements influence bureaucratic behavior, governance styles, and …

Valorization Of Palm Oil Wastes Into Oyster Mushrooms (Pleurotus Hk-37) And Biogas Production, Aneth B. David, Anthony M. Mshandete

Tanzania Journal of Science

The study explored the potential of co-production of oyster mushroom Pleurotus HK-37 and biogas from palm oil waste fractions to add value and mitigate environmental impact. Nine different blends of waste fractions were subjected to mushroom production. The highest mushroom yield and biological efficiency were obtained from a blend that combined equal amounts of palm mesocarp fiber (PMF) and empty fruit bunch (EFB) waste fractions supplemented with 1% palm oil mill effluent (POME) and sediments (SD). The spent mushroom substrates (SMS) were used in biogas production, compared to fresh waste blends, biogas volume was higher across all but two treatments. …

Evaluating Vision Transformers In End-To-End Steering Angle And Speed Prediction Of Autonomous Vehicles Using Monocular Camera Video Input On Highways, Karam Darwish, Majd Ali

Al-Farahidi Expert Systems Journal

End-to-end autonomous driving systems have recently gained significant interest due to the rapid advancement of deep learning algorithms. This progress has enabled the development of intelligent agents that can drive vehicles like or potentially better than humans in some scenarios. This study investigates using Vision Transformers (ViTs) in end-to-end autonomous driving systems to predict vehicle steering angle and speed through behavior cloning. The paper suggests two models: a single-head ViT-MLP architecture that jointly predicts steering angle and speed and a multi-head model designed with two separate heads: one for steering angle prediction and the other for speed prediction. The models …

Artificial Intelligence In Credit Risk Assessment: Towards More Accurate And Efficient Financial Decision-Making, Jaafar Salman

Al-Farahidi Expert Systems Journal

Credit risk assessment for customers represents one of the core foundations that support the stability of the financial system and promote sustainable economic growth. It plays a crucial role in guiding financing decisions within financial institutions by enabling the evaluation of customers’ ability to assume and manage financial risk. This capability enhances the efficiency of resource allocation and contributes to achieving a balanced approach between economic development and institutional financial safety.

However, the process of credit risk assessment is inherently complex due to the interplay of numerous factors, including customers’ financial indicators and behavioral attributes. This complexity necessitates the use …

Asasy: A Sentiment Analysis Corpus Of Syrian Dialect Facebook Posts, Azab Ahmad, Majd Ali

Al-Farahidi Expert Systems Journal

A massive amount of textual data is shared each day through the different social media platforms. Analyzing this data to understand the sentiment of users (positive, negative, natural) about various topics and products is a challenging task when it comes to analyze Arabic text due to the morphological diversity and complex grammatical structure of this language, and is more challenging when analyzing social media text with the great diversity in writing style and dialects. Due to the lack of Arabic resources for Sentiment Analysis and the increasing need to create dialectical resources. In this paper, we present a Syrian dialectical …

How The Coherent Detector Works In Spread Spectrum Signals, Louay Habib Skef, Aymen Mohammed Khodayer, Jenan J. Abdulkareem

Al-Farahidi Expert Systems Journal

This research investigates the detection of direct sequence spread spectrum (DSSS) signals, comparing the performance of a traditional energy detector with that of a cross-correlation detector. While energy detectors are widely used, they suffer from reduced sensitivity at low signal-to-noise ratios (SNR) and require accurate noise power estimation. In contrast, the cross-correlation detector utilizes the processing gain of DSSS signals to achieve higher detection accuracy without needing prior noise estimation. Using MATLAB simulations, Receiver Operating Characteristic (ROC) curves were generated for both detectors. Results show that the cross-correlation detector achieves up to 30% higher probability of detection (PD) at a …

Analysis Of Exhaust Gases From Marine Propulsion Plants Using Diffraction-Based Analytical Methods, Maarouf Ahmad, Mokdad Hayawi Rahman

Al-Farahidi Expert Systems Journal

This research deals with one of the most important environmental security issues of energy production media and equipment used in the marine field, primarily marine diesel engines used to propel ships. Initially, information was collected regarding the specific standards for the quantities and components of harmful substances emitted with the exhaust gases from marine Diesel and Gase Turbin engines.

Then, modern methods for monitoring exhaust gases were reviewed, which depend on the diffraction analysis of the stream of materials present in these gases and the gas transmitters used for this purpose. The method presented in this research depends on determining …

Advancements In Intelligent Systems For Industrial Management: Enhancing Efficiency And Automation, Samir Ali Amin, Salah Sabeeh Abed Al Kareem, Laith Jaafer Habeeb

Al-Farahidi Expert Systems Journal

The modern industrial management is quite dependent on intelligent systems that promote intensifying automation and general efficiency in different industries. With the introduction of advanced technologies in form of AI, machine learning, CPS and IoT these systems move the industrial functionality to a great extent. By combining, such technologies have the ability to quickly interpret data, detect the need for maintenance early in the line and make informed decisions, which produce highly optimized manufacturing processes. Automation has automated the process, reducing costs considerably, producing more, and maintaining high standards. Development of industry 4.0 has been a major tool in coordinating …

Efficacy And Safety Of Transcatheter Mitral Valve Repair (Mitraclip) Compared To Medical Therapy And Surgery In Patients With Secondary Mitral Regurgitation: A Systematic Review & Pairwise Meta-Analysis, Salma Younas, Aditya Rana, Mirza Faizan Ali Beig, Sweta Sahu, Cynthia Esohe Emanemua, Aisha Ashiq Reshie, Lamees Kaukab, Dileep Duggineni, S K S S P Ashish Gokavarapu, Padamati Bhavani, Afrasayab Khan, Peter G. Fattal

Journal of the Saudi Heart Association

Background: Secondary mitral regurgitation (SMR) is a frequent complication of heart failure, associated with high morbidity and mortality. While surgery is the standard for primary MR, many SMR patients are poor surgical candidates. Transcatheter mitral valve repair (TMVr) using the MitraClip offers a less invasive alternative, but its comparative efficacy and safety remain under active investigation and controversial. Methods: A systematic search of MEDLINE®, Embase®, and the Cochrane Library was conducted per PRISMA guidelines (PROSPERO ID: CRD420251016943). Eligible studies were randomized controlled trials (RCTs) comparing TMVr (MitraClip) with guideline-directed medical therapy (GDMT) or surgical repair in adult patients with SMR. …