Digital Commons Network^™

Developing Entrustable Professional Activities For Entry-Level Dietitians: A Nationwide Consensus Study In Taiwan, Meng-Chuan Huang, Su-E Kuo, Hui-Ping Chang, Hsiu-Yueh Su, Huei-Min Linda Chin, Chiao-I Chang, Chih-Wei Yang

Journal of Medical Education

Background: Entrustable professional activities (EPAs) translate competency-based education into observable workplace tasks. This study aimed to develop EPAs for entry-level dietitians in Taiwan using a nationwide consensus-based approach.
Methods: A three-phase design was applied: (1) job analysis to identify core tasks; (2) three national workshops with 101 experts to draft EPAs; and (3) two consensus meetings with 29–30 experts using structured focus group discussions (FGDs) with anonymous voting to finalize the EPA framework and EPA/competency matrix. Consensus was defined as ≥ 50% agreement.
Results: In Phase 1, candidate EPAs were identified through job analysis and expert ratings, with items achieving …

Using Ai To Enhance Accessibility, April Griess, Jennie Tobler-Gaston

Criss Library Faculty Proceedings & Presentations

This presentation explores a practical look at AI tools for improving accessibility. The first part demonstrates OCR workflows using Adobe Acrobat Pro and free OCR tools. Participants will see how each tool converts scanned PDFs into machine-readable text, how they differ in output quality and layout fidelity, and how each supports accessibility workflows.

The second part features an AI tool for transcribing handwritten text. The session will demonstrate accuracy issues, tool limitations, and ethical considerations when using AI.

The session is designed to help individuals and institutions determine which AI tools best fit their accessibility goals, staffing levels, and budget. …

Cross-Language Vulnerability Analysis Via Multimodal Deep Learning, Ghader Aljebreen, Reem Alnanih, Fathy Eassa, Maher Khemakhem, Kamal Jambi, Muhammed Usman Ashraf

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Ensuring robust security in software development is essential due to the growing complexity of systems and the increasing prevalence of vulnerabilities. Existing vulnerability detection (VD) methods typically fall into two categories: multimodal single-language systems, which analyze vulnerabilities from multiple perspectives (e.g., source code and compiled code) but are limited to a single programming language, or unimodal multi-language systems, which focus on only one type of analysis (e.g., source code) while supporting multiple programming languages. These approaches, while effective in specific scenarios, often fail to comprehensively address security challenges due to their inherent limitations. This study introduces a deep learning-based, multimodal, …

Exploring The Capabilities Of Generative Ai In Supporting Diagnostic Test Accuracy Reviews, Amal Hamed Alharbi

Journal of King Abdulaziz University: Computing and Information Technology Sciences

The identification of relevant studies is a critical and time-consuming component of conducting Diagnostic Test Accuracy reviews. Traditionally, this process relies on manual screening and evaluation of large volumes of literature. This study investigates the use of generative artificial intelligence, specifically OpenAI's ChatGPT, to assist in identifying and classifying relevant studies in Diagnostic Test Accuracy reviews. We applied ChatGPT and a traditional Support Vector Machine model across four Diagnostic Test Accuracy reviews and evaluated their performance using precision, recall, and F1 score. ChatGPT achieved an average recall of 85.18% and F1 score of 78.97%, outperforming SVM in recall and overall …

Investigating The Effects Of Ai-Mediated Language Instruction On Linguistic, Affective, And Autonomy-Related Outcomes Among English Language Learners, Raniah Hassen Kabooha

Journal of King Abdulaziz University: Computing and Information Technology Sciences

Artificial intelligence (AI) has increasingly been integrated into language education; however, empirical evidence regarding its effects on both linguistic and affective outcomes among English as a foreign language (EFL) learners remains limited, particularly in higher education contexts. This study investigated the impact of AI-mediated instruction on English language proficiency, language motivation, language anxiety, and learner autonomy among university-level EFL students. An explanatory sequential mixed-methods design was employed involving sixty first-year female EFL students in Saudi Arabia who were assigned to either an experimental group receiving AI-assisted instruction or a control group receiving traditional instruction over a ten-week period. Quantitative data …

Examining The Effects Of Interdependent Group Contingencies As A Classwide Intervention To Reduce Unsafe Behavior On The Playground, Elizabeth K. Linton

LSU Doctoral Dissertations

The purpose of this study was to evaluate the effects of different class wide interdependent group contingencies on unsafe playground behavior and student preferences for each intervention. In Experiment 1, we assessed the effects of the Good Behavior Game (GBG) on unsafe behavior across three third-grade classes. The GBG effectively reduced unsafe playground behavior relative to baseline, though student-choice data indicated that students did not prefer the intervention. This finding prompted Experiment 2, in which we evaluated synchronous schedule of reinforcement (SSR) as a classwide interdependent group contingency and compared its effectiveness and preference to the GBG. Participants in Experiment …

Fines Migration Versus Mineral Dissolution In Co₂ Injectivity Impairment: A Critical Review And Conceptual Framework For Clay-Rich Sandstone Reservoirs, Umarov Shahzodbek Bakhromjon Ugl

Platform: A Journal of Engineering (PAJE)

Sustained injectivity is a controlling operational requirement for geological CO2 storage in deep saline aquifers because near-wellbore permeability loss can restrict injection rates, accelerate pressure build-up and reduce storage efficiency. In sandstone reservoirs containing reactive or mobile clay minerals, CO2-saturated brine may induce coupled geochemical and colloidal processes that cannot be interpreted through bulk porosity change alone. This review critically synthesises evidence on CO2-brine-rock interaction, clay mineral response, fines detachment, pore-throat restriction and injectivity impairment in sandstone systems. The reviewed literature indicates that mineral dissolution, secondary precipitation, salt precipitation, wettability alteration and fines migration can operate simultaneously, but their effects …

ความรับผิดทางอาญาของนิติบุคคลในประเทศฝรั่งเศส: วิวัฒนาการและความสำคัญทางหลักกฎหมายของแนวคิด “Personnes Morales” (Corporate Criminal Liability In France: The Evolution And Jurisprudential Significance Of The Personnes Morales Concept), Rose Charmette

Chulalongkorn University Law Journal

บทความนี้ศึกษาวิวัฒนาการของความรับผิดทางอาญาของนิติบุคคลในประเทศฝรั่งเศสผ่านแนวคิด personnes morales ซึ่งบัญญัติไว้ในมาตรา 121-2 แห่งประมวลกฎหมายอาญาฝรั่งเศส โดยศึกษาแนวคิดนี้ภายใต้กรอบของความรับผิดของนิติบุคคลต่ออาชญากรรมร้ายแรง โดยเฉพาะอย่างยิ่งในบริบทของกฎหมายอาญาระหว่างประเทศ ซึ่งโดยหลักแล้วกำหนดความรับผิดแก่บุคคลธรรมดาเท่านั้น คำถามวิจัยหลักของการศึกษานี้คือ แนวคิด personnes morales ของฝรั่งเศสช่วยอุดช่องว่างของความรับผิดทางอาญาในกรณีที่นิติบุคคลได้เข้ามามีส่วนร่วมในการกระทำความผิดอาญาร้ายแรงตามธรรมนูญกรุงโรมได้หรือไม่ และแนวคิดนี้สามารถนำมาใช้กับความรับผิดทางอาญาระหว่างประเทศได้เพียงใด บทความได้วิเคราะห์คดีสำคัญ เช่น คดีอื้อฉาวทางเภสัชกรรม Mediator คดี Lafarge S.A. ในซีเรีย และคำพิพากษา Association Sportive ซึ่งตัดสินโดยศาลอาญาของฝรั่งเศส โดยที่ศาลได้วางหลักเกี่ยวกับเจตนาของนิติบุคคล (corporate mens rea) ผสมผสานกับความรับผิดโดยอาศัยการเป็นตัวแทนและความรับผิดโดยอิสระขององค์กร รวมถึงวิธีที่ศาลฝรั่งเศสบังคับใช้บทลงโทษกับนิติบุคคลได้อย่างมีประสิทธิภาพ นอกจากนี้ ยังมีการอ้างอิงเปรียบเทียบกับสหราชอาณาจักรและสวีเดนเพื่อแสดงให้เห็นแนวทางทางเลือกอื่น ๆ และเน้นย้ำว่าระบบฝรั่งเศสมีส่วนช่วยในการพัฒนาแนวคิดความรับผิดทางอาญาของนิติบุคคลอย่างไร ท้ายที่สุด บทความนี้ชี้ให้เห็นว่าหลักคำสอนของ personnes morales ไม่เพียงแต่เป็นกรอบแนวคิดเชิงปฏิบัติเท่านั้น แต่ยังเป็นแนวทางเชิงทฤษฎีที่สามารถแก้ไขปัญหาช่องว่างของความรับผิดในกฎหมายอาญาระหว่างประเทศได้และเสนอข้อคิดสำคัญสำหรับการปฏิรูปในอนาคตเพื่อเสริมสร้างความรับผิดชอบของภาคธุรกิจในระดับข้ามเขตอำนาจศาล

The Effect Of Emotional Intelligence And Logical-Mathematical Intelligence On Students’ Mathematical Problem-Solving Ability, Zulkyfli Siduppa, Sutji Rochaminah, Muh Hasbi, Dasa Ismaimuza

Jurnal Pendidikan Sains

Mathematical problem-solving ability is an essential competency in mathematics education because it supports students’ reasoning, critical thinking, and decision-making skills. This study aimed to examine the influence of emotional intelligence and logical-mathematical intelligence on the mathematical problem-solving ability of Grade XII students at SMA Negeri 1 Tolitoli. The study employed a quantitative survey design involving 143 students from the Mathematics and Natural Sciences (MIPA) program during the 2023/2024 academic year. Data were collected using an emotional intelligence questionnaire, a logical-mathematical intelligence questionnaire, and a mathematical problem-solving test on algebraic function limits. All instruments were validated and demonstrated satisfactory reliability, with …

Close To Home? Five Key Facts About Child Care Customer And Worker Commutes, Gabrielle Pepin, Jonathan Borowsky, Elizabeth E. Davis, Aaron Sojourner

Upjohn Institute Working Papers

Parents often cite location and convenience as important factors in choosing a child care provider. We use data on individual mobility from GPS in cell phones to study commutes to each licensed early childhood care and education (ECE) provider in 14 states separately for center customers, center workers, and customers of home-based child care providers. We document five key facts about ECE customer and worker commutes. One, center customers and workers commute farther than home-based customers to ECE providers. Two, substantial shares of customers and workers commute 10+ miles to their ECE provider. Three, commute distances to ECE providers vary …

Tumor-Immune Dynamics With Memory And Time Delay: A Fractional-Order Model With Ctla-4 Regulation, Mutaz Mohammad, Mohyeedden Sweidan, Alexander Trounev, Fathalla Rihan

All Works

This study develops a fractional-order tumor-immune interaction model incorporating Caputo memory effects, delayed immune activation, and CTLA-4 checkpoint regulation. The model describes the coupled dynamics of tumor cells, CD4^+ T cells, IFN-γ, and CTLA-4, and extends classical integer-order tumor-immune models by accounting for hereditary immune responses and biologically motivated latency effects. Theoretical properties, including positivity, boundedness, equilibrium structure, and fractional-order stability, are examined to establish the biological and mathematical consistency of the model. The delayed fractional system is then investigated computationally by comparing several numerical methods, including finite difference discretization, Daubechies wavelet collocation, Euler wavelet collocation, and a predictor-corrector scheme. …

English Faculty Members’ Perception And Attitude Toward The Use Of Chatgpt By English Language Teaching In Higher Education In Saudi Arabia, Wjoud Hussain Almadani

University of Tabuk Journal for Humanities and Social Sciences

Objectives: Artificial intelligence (AI) driven ChatGPT is an innovative transformation tool in the rapidly evolving educational landscape. This study aimed to understand faculty members' perspectives and attitudes toward using ChatGPT for English language teaching in Saudi Arabia, particularly in Najdi rural areas. Method: The study employed a survey-based quantitative research design involving English-language faculty members in Saudi Arabia, particularly at Shaqrah University. Result: Despite having a mixed opinion on the willingness to use ChatGPT in English language teaching, participants have identified several applications of ChatGPT, such as translation and vocabulary, creating presentations, preparing exam and quiz questions, and creating activity …

Economic Performance And Technical Efficiency Of “Small-Scale” Vegetable Production In Ido Local Government Area Of Oyo State, Nigeria, Taiye Oluwasola Babatunde, Oluyemisi Omowunmi Babatunde

Journal of Bioresource Management

A study was carried out to examine the economic performance of small-scale vegetable farmers and how effectively they are using their resources in Ido Local Government Area of Oyo State. The study involved eighty vegetable farmers who were chosen randomly, and information was gathered from them using structured questionnaires. Different tools such as budget analysis, linear regression, frequency distribution, percentages, and the stochastic frontier production function were used to examine the data that was collected. The results indicated that about 41.3 % of the farmers were between the ages of 41 and 50. Most of the people who answered were …

Hydroclimatic Whiplash Across The Contiguous United States: Characterizing Wet–Dry Transitions In Pdsi And Phdi, James Lam, Thomas Christopher Piechota

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Hydroclimatic whiplash, characterized by rapid transitions between wet and dry conditions, poses a growing challenge for water resource management and ecosystem stability. However, the spatial and statistical characteristics of wet–dry transitions across the contiguous United States are not fully understood. This study analyzed Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) records from 344 NOAA climate divisions spanning 1895–2024. Whiplash was defined as a transition between severe drought and severe wetness within 12-month rolling windows. Statistical descriptors including lag-1 autocorrelation, variance, and skewness were evaluated for whiplash and non-whiplash windows to assess differences between them. Whiplash hotspots …

Cfd Optimization Using Ansys Fluent For Advanced Thermal Energy Conversion, A Case Study On Heat Recovery Systems In Iraqi Power Plants, Basim Mohammed Abid Ali

Al-Esraa University College Journal for Engineering Sciences

The energy sector in Iraq has lots of potential but the infrastructures are old and lack optimum thermal efficiency resulting in high consumption of fuel and environmental degradation. The study focuses on the urgent necessity of modernization of the thermal energy conversion systems in the industrial plants of Iraq by means of the further development of numerical simulation. The paper applies the Computational Fluid Dynamics(CFD) through ANSYS Fluent to model and optimize a shell-and-tube heat exchanger, which is similar to the ones employed in heat recovery units in Iraqi thermal power plants like the Al-Dora power plant in Baghdad. The …

Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed

Al-Esraa University College Journal for Engineering Sciences

The fourth-generation (4G) mobile communication is supposed to combine a broad coverage of services, including high-speed data, video streaming, multimedia applications and voice transmission, into a single scale. Adaptive OFDM (AOFDM) is among the most popular techniques proposed to meet this objective in which the settings of the transmission are dynamically optimized to the prevailing changing conditions of the channel fading. This paper is concerned with the adaptive modulation in OFDM. We find out the performance of un-coded adaptive modulation on the schemes of QAM and PSK. An effort to use convolutional coding is also integrated into the structure of …

Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad

Al-Esraa University College Journal for Engineering Sciences

The Iraqi Museum's remaining architectural form and traditional display techniques do not allow for enough interaction between visitors and the items, despite the museum's great heritage and cultural value. This between visitors and the exhibits. Additionally, the museum does not include interactive technologies and contemporary architecture, which are now essential components of modern museums around the world.This invites the question of how to optimize the Iraqi Museum's visitor experience by applying the principles of interaction design in museum architecture within a contemporary developmental vision. In order to revive the architectural spaces within the Iraqi Museum, the research aims to generate …

The Prevalence Of Oral Diseases In Heredity Bleeding Disorders In Iraq, Warkaa M. Al-Wattar

Al-Esraa University College Journal for Medical Sciences

Aim: To investigate the effect of bleeding disorder on oral condition in Iraqi patients. Patient and methods: 153 patients were included in this study attending dental unit in Iraqi center of hematology. They were diagnosed and treated for ordinary oral diseases like dental caries and periodontal diseases mainly. While treatment vary from only diagnosis and checkup to more complicated surgical extraction. The patients data include sex, blood group, cheife complain and type of treatment. Results: The main chief complain was dental caries and less periodontal diseases while main treatment management was only checkup. The blood group O was the most …

The Pivotal Role Of Artificial Intelligence In Optimizing Pharmaceutical Formulation And Delivery, Ali Khidher Abbas, Mustafa M. Noori, Ibtihal Abdulkadhim Dakhil, Mohammed Hussain Al-Mayahy

Al-Esraa University College Journal for Medical Sciences

Artificial intelligence (AI) has emerged as a transformative technological paradigm within the pharmaceutical sciences, offering innovative and forward-looking solutions to surmount the inherent limitations associated with conventional drug development, formulation design, and therapeutic delivery systems. Traditional pharmaceutical methodologies frequently entail protracted development timelines, extensive experimental procedures, and substantial financial expenditures, particularly within the domains of formulation optimization and drug delivery design. The integration of AI-driven technologies – encompassing machine learning (ML), deep learning (DL), artificial neural networks (ANNs), and predictive analytics – has considerably accelerated pharmaceutical research by refining decision-making processes, alleviating experimental burden, and enhancing formulation efficiency. The present …

Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher

Al-Esraa University College Journal for Engineering Sciences

In the study, nonlinear vibration and thermo-mechanical characteristics of centrifugal pump bearings utilized in the cooling tower system of South Refineries Company (Basra) were properly examined using a combined experimental and numerical method. The intent of the study was to learn the impact of misalignment, the nature of the lubrication film, and thermal gradients on the stability of the operation of these bearings and their service life under realistic industry environment conditions. Finite element model (FEM) was constructed and tested on the basis of real field data obtained at the working pumps that allowed realistic distribution of stress and temperature. …

Students’ Writing Mindset And Grit: Influences Of Nationality, Academic Track, And Gender, John George Pastor, Ma. Joahna Mante-Estacio

Journal of English and Applied Linguistics

Senior high school (SHS) students in the Philippines are required to produce various academic papers that adhere to the properties of well-written texts. However, studies found that SHS students encounter difficulties with writing across a variety of content and ideas, vocabulary, diction, sentence and paragraph structures, language usage, and referencing (Pablo et al., 2018; Urbano et al., 2021). Despite these concerns, they are expected to persevere and show interest in improving their writing skills. In this context, this quantitative-descriptive study aimed to analyze the potential influences of sociocultural factors on the writing mindset and grit of the SHS students in …

Online Translation Revisited: An Embedded Linguistic Resource In Emi?, Michael Groves, Lisha Yu

Journal of English and Applied Linguistics

It has now been over 10 years since the implementation of neural network-based online translation, allowing students to use English as a medium of instruction (EMI) context free and ubiquitous access to high-quality automated translation. In this time, the quality and ubiquity of the technology have increased dramatically. However, there has been little investigation into EMI students’ perceptions of this development. This study reports the outcomes of discussions with approximately 15 students in a focus group format at a Hong Kong Liberal Arts University, where students whose first language is not English discussed their use of online translation in their …

Usa V. Zachary Williams

2026 Decisions

USDC for the District of New Jersey

Usa V. George Alexander

2026 Decisions

USDC for the Eastern District of Pennsylvania

Crispr/Cas9-Based Genome Editing: Understanding Differences In Dna Repair Pathways, Profiles, And Outcomes, Samuel Effah, Shirley Barrera, Nahia Urturi Ortiz, Will Dampier, Michael Nonnemacher, Brian Wigdahl

Kimmel Cancer Center Faculty Papers

Over a decade of advances in Clustered Regularly Interspersed Short Palindromic Repeats (CRISPR) and CRISPR-associated protein 9 (Cas9)-based technologies have culminated in the first-ever FDA-approved CRISPR/Cas-based therapy. Aside from this approved therapy for sickle cell anemia, several CRISPR/Cas-based therapies are currently under development or testing for a range of chronic diseases, including viral diseases like human immunodeficiency virus type 1 (HIV-1) infection, genetic diseases like familial hypercholesterolemia, and cancer. The success of these therapies hinges on the effective delivery of CRISPR/Cas9 components to target regions, efficient Cas endonuclease editing, repair profiles generated, and their resulting outcomes. Here, we discuss the …

Evaluation Of A Vortex Flow Device On A Center Pivot Irrigation System, Ankit Chandra, Derek M. Heeren, Tyler Smith

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

This study presents the first independent field evaluation of a passive vortex flow device designed to reduce hydraulic friction in pressurized irrigation systems. Experiments were conducted on a full-scale, groundwater-fed center pivot irrigation system at the Eastern Nebraska Research, Extension, and Education Center (ENREEC). A paired comparison approach was used to quantify differences in flow rate, energy consumption, and pressure distribution along the pivot lateral under baseline (no device) and treatment (device installed) conditions. Results showed negligible change in system flow rate (621 vs. 618 gpm) and energy consumption (~1.2% difference), consistent with expectations for pressure-regulated irrigation systems. However, the …

Us Race/Ethnic Disparities In Diabetes Technologies: A Systematic Review And Meta-Analysis Of 950 000 Individuals, Maria L. M. Rego, Maxim Barnett, Maria Helena Siqueira Tavares De Melo, Ana Rivadeneira

Einstein Health Papers

PURPOSE: To provide a descriptive summary and to quantitatively examine racial and ethnic disparities in the use of continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) among people living with diabetes in the United States.

RESEARCH DESIGN AND METHODS: We followed the Cochrane and PRISMA guidelines (PROSPERO: CRD420251124678). Search was conducted on PubMed, Embase, and Cochrane up to August 2025. Observational studies were included if they (1) were conducted in the United States, (2) evaluated the use of CGM/CSII across different races/ethnic groups, and (3) reported odds ratios (ORs) for between-group comparisons. Three-level random-effect meta-analyses examined OR in …

Interval-Valued Neutrosophic Dombi Bonferroni Mean Aggregation Operators In Medical Diagnosis And Sustainable Energy, Maryam Faisal, Muhammad Nadeem, Muhammad Kamran

Neutrosophic Systems with Applications

Medical diagnosis is one of the most difficult fields in which decisions must be made due to the fact that medical information often has characteristics of uncertainty, incompleteness, imprecision and even contradiction. Traditional aggregation and decision-making methods are often not well suited to such complexities, and may result in less reliable diagnostic outcomes. In order to overcome these drawbacks, the authors propose a new approach using a novel representation of Interval-Valued Neutrosophic Sets (IVNSs), the Dombi operational laws, and Bonferroni Mean (BM) aggregation operators. The proposed framework is specifically aimed at coping with uncertainty, indeterminacy and falsity all at once …

Lipase And Tcf7l2 Polymorphism As Indicators Of Pancreatic Dysfunction In Patients With Breast Cancer, Dhay Ihab Al-Jdooa, Ahmed Ghdhban Al-Ziaydi

Al-Qadisiyah Medical Journal

Background: Pancreatic dysfunction is widely acknowledged as a critical issue in individuals with breast cancer. These biomarkers like insulin, lipase, and amylase or polymorphisms such as TCF7L2 can be correlated in assessing breast cancer in conjunction with other medicine relations such as pancreatic health. Objective: The aim of this particular study is to assess the role of breast cancer in pancreatic dysfunction by assessing the aforementioned biomarkers and gene polymorphisms. Methods: Following ethical guidelines, a case-control study was conducted involving female patients diagnosed with breast cancer and other breast cancer-free women. Various combined diagnostic tests, including ROC curve analysis and …

Clinical And Hematological Correlates Of Common Viral Respiratory Infections In Patients With Acute Illness In Iraq, Israa Habeeb Naser

Journal of Bioresource Management

Background: Acute viral respiratory infections are considered as the leading causes of illness and hospitalization worldwide. Influenza virus, Respiratory Syncytial Virus (RSV) and Adenovirus are general respiratory pathogens linked with significant clinical problems in Iraq. This study aims to estimate the prevalence of common respiratory viral infections and their clinical and hematological associations between Iraqi patients with acute-illness.

Methods: This a cross-sectional study was done on 160 patients showing acute febrile and/or respiratory-symptoms. Viral detection for Influenza virus, RSV and Adenovirus was performed using rapid-antigen and ELISA assays. Hematological tests including total leukocyte count (TLC), differential leukocyte count, hemoglobin and …