bluuebunny/crossref_metadata_2025 huggingface dataset:
Solving Problematic Financing Through the Execution of Murabaha Contracts: A Case Study of Agam Madani BMT
Authors: Arwanto Alfin Dani , Arianti Farida , Putri Z Wina Antika , Yani Suci Fitri , Leli Maisarah , Rizal Deri
Published: May 2023

Murabahah is one of the contracts and products at BMT Agam Madani. This product is financing that is in great demand and is liked by the public. Murbahah contracts cannot be avoided when problematic financing occurs which is favored by interested parties from the community indirectly and contains risks. This study aims to describe the use of the execution method to overcome problematic financing in Murabaha contracts. The method used is a qualitative method with a case study approach. The source of data is done by looking at the social situation regarding problematic financing to the point of saturation. Data collection techniques were carried out using in-depth interviews, namely interview guides aimed at customer informants and BMT employees, besides that they also made observations. The results found from the research that the settlement of problematic financing at BMT Agam Madani is classified into two forms, if there is good faith from the customer, then a rescheduling is carried out. If the customer is not good enough, a warning letter will be given up to three times and ends with execution in the form of submitting debt guarantees. This is done because the letter of guarantee signed by the parties is entered into as a deed of acknowledgment of debt which is classified as an authentic deed and execution as an execution of the payment of a sum of money.
Factors That Affect Knowledge-Sharing Behaviors in Medical Imaging Departments in Cancer Centers: Systematic Review
Authors: Almashmoum Maryam , Cunningham James , Alkhaldi Ohoud , Anisworth John
Published: May 2023

Background

Knowledge management plays a significant role in health care institutions. It consists of 4 processes: knowledge creation, knowledge capture, knowledge sharing, and knowledge application. The success of health care institutions relies on effective knowledge sharing among health care professionals, so the facilitators and barriers to knowledge sharing must be identified and understood. Medical imaging departments play a key role in cancer centers. Therefore, an understanding of the factors that affect knowledge sharing in medical imaging departments should be sought to increase patient outcomes and reduce medical errors.

Objective

The purpose of this systematic review was to identify the facilitators and barriers that affect knowledge-sharing behaviors in medical imaging departments and identify the differences between medical imaging departments in general hospitals and cancer centers.

Methods

We performed a systematic search in PubMed Central, EBSCOhost (CINAHL), Ovid MEDLINE, Ovid Embase, Elsevier (Scopus), ProQuest, and Clarivate (Web of Science) in December 2021. Relevant articles were identified by examining the titles and abstracts. In total, 2 reviewers independently screened the full texts of relevant papers according to the inclusion and exclusion criteria. We included qualitative, quantitative, and mixed methods studies that investigated the facilitators and barriers that affect knowledge sharing. We used the Mixed Methods Appraisal Tool to assess the quality of the included articles and narrative synthesis to report the results.

Results

A total of 49 articles were selected for the full in-depth analysis, and 38 (78%) studies were included in the final review, with 1 article added from other selected databases. There were 31 facilitators and 10 barriers identified that affected knowledge-sharing practices in medical imaging departments. These facilitators were divided according to their characteristics into 3 categories: individual, departmental, and technological facilitators. The barriers that hindered knowledge sharing were divided into 4 categories: financial, administrative, technological, and geographical barriers.

Conclusions

This review highlighted the factors that influenced knowledge-sharing practices in medical imaging departments in cancer centers and general hospitals. In terms of the facilitators and barriers to knowledge sharing, this study shows that these are the same in medical imaging departments, whether in general hospitals or cancer centers. Our findings can be used as guidelines for medical imaging departments to support knowledge-sharing frameworks and enhance knowledge sharing by understanding the facilitators and barriers.
Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation (Preprint)
Authors: Matsuda Shinichi , Ohtomo Takumi , Okuyama Masaru , Miyake Hiraku , Aoki Kotonari
Published: May 2023

BACKGROUND

Measuring patient satisfaction is a crucial aspect of medical care. Advanced natural language processing (NLP) techniques enable the extraction and analysis of high-level insights from textual data; nonetheless, data obtained from patients are often limited.

OBJECTIVE

This study aimed to create a model that quantifies patient satisfaction based on diverse patient-written textual data.

METHODS

We constructed a neural network–based NLP model for this cross-sectional study using the textual content from disease blogs written in Japanese on the Internet between 1994 and 2020. We extracted approximately 20 million sentences from 56,357 patient-authored disease blogs and constructed a model to predict the patient satisfaction index (PSI) using a regression approach. After evaluating the model’s effectiveness, PSI was predicted before and after cancer notification to examine the emotional impact of cancer diagnoses on 48 patients with breast cancer.

RESULTS

We assessed the correlation between the predicted and actual PSI values, labeled by humans, using the test set of 169 sentences. The model successfully quantified patient satisfaction by detecting nuances in sentences with excellent effectiveness (Spearman correlation coefficient [ρ]=0.832; root-mean-squared error [RMSE]=0.166; P<.001). Furthermore, the PSI was significantly lower in the cancer notification period than in the preceding control period (−0.057 and −0.012, respectively; 2-tailed t47=5.392, P<.001), indicating that the model quantifies the psychological and emotional changes associated with the cancer diagnosis notification.

CONCLUSIONS

Our model demonstrates the ability to quantify patient dissatisfaction and identify significant emotional changes during the disease course. This approach may also help detect issues in routine medical practice.

CLINICALTRIAL
BIOANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR THE SIMULTANEOUS DETERMINATION OF VERAPAMIL AND ENALAPRIL IN THE PRESENT OF ENALAPRILAT BY HPLC-MS/MS
Authors: Logoyda Liliya
Published: May 2023

Objective: The main purpose of this study was to develop a simple, precise, rapid and accurate method for the simultaneous quantification of verapamil and enalapril in the present of enalaprilat in human plasma.Methods: Analytes were extracted from plasma using a protein precipitation extraction method. Chromatography was achieved on Discovery C18, 50 Ã— 2.1 mm, 5 Î¼m column. Samples were chromatographed in a gradient mode (eluent A (acetonitrileâ€“waterâ€“formic acid, 5: 95: 0.1 v/v), eluent B (acetonitrileâ€“formic acid, 100: 0.1 v/v)). The initial content of the eluent B is 0%, which increases linearly by 1.0 min to 100% and to 1.01 min returns to the initial 0%. The mobile phase was delivered at a flow rate of 0.400 ml/min into the mass spectrometer ESI chamber. The sample volume was 5 Î¼l.Results: The total chromatographic run time was 2.0 min and the elution of verapamil, enalapril, enalaprilat and IS (bisoprolol) occurred at ~1.09, 1.03, 0.96 and 1.01 min, respectively. A linear response function was established at 1-100 ng/ml for verapamil hydrochloride, 2-200 ng/ml for enalapril maleate, 1-100 ng/ml for enalaprilat dehydrate in human plasma. The % accuracy of LLOQ samples prepared with the different biological matrix lots were found 99.2 % for enalapril, 103.4 % for enalaprilat, 90.6 % for verapamil, which were found within the range of 80.00-120.00% for the seven different plasma lots. % CV for LLOQ samples was observed as 4.9%, 5.9 %, 9.0 % respectively, which are within 20.00% of the acceptance criteria. The % mean recovery for enalapril in LQC, MQC and HQC was 103.6 %, 100.1 % and 102.4 %, for enalaprilat in LQC, MQC and HQC was 103.2 %, 98.0 % and 101.1 %, for verapamil in LQC, MQC and HQC was 97.9 %, 96.1 % and 98.6 % respectively.Conclusion: A new rapid method was developed for simultaneous determination of verapamil and enalapril in the present of enalaprilat in human plasma. The method was strictly validated according to the ICH guidelines. Acquired results demonstrate that proposed strategy can be effortlessly and advantageously applied for routine examination of verapamil and enalapril in the present of enalaprilat in human plasma.
VALIDATED HPLC-UV METHOD FOR SIMULTANEOUS ESTIMATION OF LINAGLIPTIN AND EMPAGLIFLOZIN IN HUMAN PLASMA
Authors: Donepudi Sharmila , Achanta Suneetha
Published: May 2023

Objective: The proposed method aims to develop a simple, rapid, sensitive and validated isocratic reversed-phase high-performance liquid chromatography (RP-HPLC) method for the simultaneous estimation of linagliptin and empagliflozin in human plasma.Methods: Chromatography was performed on waters 2695 HPLC equipped with a quaternary pump. The separation was carried using discovery C18 (250Ã—4.6Ã—5) column, buffer: acetonitrile (68:32) as mobile phase with 1 ml/min flow rate. The analyte detection was monitored at 218 nm.Results: Retention time of linagliptin, empagliflozin and internal standard was found at 6.421, 4.696, and 4.074 min respectively. The peaks were found to be free of interference. The method is validated over a dynamic linear range of 0.01-10.0 Âµg/ml for both drugs with a correlation coefficient of 0.998. The precision and accuracy of samples of six replicate measurements at lower limit of quantification (LLOQ) level were within the limit. The analytes were found to be stable in human plasma at-28 Â°C for 37 d.Conclusion: The stability, sensitivity, specificity and reproducibility of this method make it suitable for the determination of linagliptin and empagliflozin in human plasma.
The Design and Use of Questionnaires in Educational Research: A New (Student) Researcher Guide
Authors: Holmes Andrew G D
Published: May 2023

Final-year undergraduate and master’s students often collect data for a research project through a questionnaire. However, novice researchers may have little or no experience designing and using questionnaires and struggle with both designing and operationalizing one. This paper explores and explains, from a theoretical and practical perspective, how a novice researcher may go about the process. Its intended target audience is final-year undergraduate and postgraduate students undertaking a research project, such as a dissertation. Its purpose is to provide the necessary fundamental knowledge for learners to develop their research questionnaires for qualitative data collection.
Development of English in Marathi Speaking Children Attending English Medium Schools (Senior Kindergarten and Grade I)
Authors: Kottapurathu Merin Jose , Waknis Aarti
Published: May 2023

An increasing number of Marathi-speaking children attend English medium schools in Maharashtra, India. The developmental trend of English in these children is not studied according to the researcher’s best knowledge. Studying this development is essential to understand the development of children with developmental disabilities. Hence, the study aimed to understand the development of English in Marathi-speaking children attending English medium schools in senior kindergarten and Grade I (5 to 7 years of age). Forty Marathi-speaking children attending English medium schools (Senior Kindergarten and Grade I) were included. ‘Clinical Evaluation of Language Fundamentals Preschool 2nd Edition (CELF)’ was used to assess children's language skills, and ‘Development of Emergent Literacy- Questionnaire’ was administered to study the relation between home literacy environment and language skills in English. A gender difference was present for Senior Kindergarten children but not for the children studying in Grade I. More than 65% of children had scores below the age equivalent scores across the subtests. A moderate positive correlation was found between all the subtests of CELF and the score on the emergent literacy questionnaire. In conclusion, there is an effect of gender on English language skills in kindergarten which is not present in Grade I. The competency in English in Marathi-speaking children appears to be low and moderately related to literacy exposure at home.
Awareness and Use of Open Educational Resources and its Benefits to University Students
Authors: Rebecca Oluwayimika Kasumu , Idoghor Uduak
Published: May 2023

The study is descriptive survey research designed to investigate awareness and use of Open Educational Resources (OER) and its benefits to university students. The study area is Ignatius Ajuru University of Education, Port Harcourt, Rivers State, Nigeria. The study population was 424 postgraduate students in the Faculty of Education, Ignatius Ajuru University of Education. A sample of 178 students was involved in the study. A simple random sampling technique was applied in the selection process. The instrument used for the study to collect data from respondents is a structured questionnaire titled awareness and use of open educational resources and its benefits to university students (AUEORBU) with 40-item questions. The designed instrument by the researcher was given to experts in the field of educational technology. The instrument reliability determined by test-re-test was applied and the responses were correlated to obtain the reliability coefficient of .67. mean was the statistical tool used for the study. The study found that students can access open educational resources anywhere in the world, at any time and open educational resources provide an excellent way for alumni to stay connected to the institution and continue with a program of lifelong. Based on the conclusion, the researchers recommended that students and stakeholders participate fully in open educational resources to stay connected to their institutions.
A Qualitative Investigation of the Academic, Social and Emotional Needs of Graduate Students Post COVID-19: Recommendations for Graduate Faculty
Authors: Bernadowski Carianne
Published: May 2023

This paper examines graduate students’ academic and emotional needs as they returned to campus after the abrupt shutdown of universities due to the COVID-19 pandemic. Because graduate students are unique in their mindset, learning, and needs, examining how they perceived their needs when they returned to graduate school was imperative. Based on focus groups and semi-structured interview data, three themes emerged: obstacles to balancing home, work and school, graduate students’ needs are diverse, and social and emotional needs should be at the heart of graduate studies. These findings suggest strategies to integrate more culturally relevant and social and emotional approaches to graduate teaching.
Scale Up – A Mentorship Platform for Start-Ups
Authors: Mereddy Nitin , Bharara Arjun , Polisetti Akhil , Pakmode Mrs. Kiran
Published: May 2023

Abstract: Mentoring is a traditional means of passing on information and ideas from a seasoned expert in society to a newcomer in the industry. Mentoring has long been seen as a useful technique in the corporate world. With the introduction of new technology comes the concept of online mentoring, often known as e-mentoring. Instead of face-to-face meetings, the Online Mentoring System (OMS) employs asynchronous, electronic interactions to build and nurture the mentor-startup connection in a virtual manner. The Online Mentoring System is a client-server paradigm that serves as a bridge between the teacher and the student. OMS attempts to lessen the effort of startup individuals in submitting their information while also allowing Mentors to examine their business more effectively. E-Mentoring is fundamentally developed to improve the performance of the business by assisting mentors in understanding the problems of startup persons more effectively and efficiently.
Restaurant Management System
Authors: Khandwani M. Faizan , Lanke Pratik , Harne Pratik , Sapkal Anuj , Adhao Adesh
Published: May 2023

Abstract: The project focuses on developing an Android application that allows customers to easily book tables and menus of their choice at a restaurant according to their convenience. The traditional manual system for table reservations in restaurants is becoming obsolete, and digital systems are gaining popularity. The manual system relies on waiters and booking diaries, with no automated record-keeping. Main objective of the project is creating the Reservation System that addresses the shortcomings of the manual system, such as inefficiencies in time and cost management.
RTL Implementation of AMBA AHB Protocol using Verilog
Authors: Perali Sri Phanindra , Madadi Nithin Krishna , Reddy Rohith
Published: May 2023

Abstract: The enactment of a computer system heavily depends on the design of its bus interconnect. A poorly designed system bus can hinder the transmission of instructions and data between the processor and memory or between peripheral devices and memory. To address these challenges, the Advanced Microcontroller Bus Architecture (AMBA) provides an open standard for connecting and managing functional blocks in a System-on-Chip (SoC). This architecture allows for developing multi-processor designs with many controllers and peripherals while ensuring the system is designed correctly the first time. Furthermore, the AMBA specifications are royalty-free and platform-independent. They can be used with any processor architecture. The project will provide an RTL view and an extracted design summary of the AMBA AHB module at the system-on-chip level. The AMBA High-performance Bus (AHB) is another part of the AMBA family of conventions. The AHB is designed to support highperformance, high-clock system modules and serves as the system's high-performance backbone bus. The AHB enables the efficient connection of low-power peripheral functions to processors, on-chip memories, and external off-chip memory interfaces. All signal transitions in the AHB relate only to the rising clock edge, allowing AHB peripherals to be easily integrated into any design flow. The project also describes the AMBA AHB design and implementation using Verilog, with read/write operations implemented using the Xilinx simulator.
Flow Test of Self Compacting Concrete using V-Funnel Test
Authors: Sasane Prathamesh , Bhambare Tushar
Published: May 2023

Abstract: This paper gives a review on Self Compacting Concrete (SCC) to be made using various Mineral Admixtures and Fibres. In current scenario of construction industries due to demand in the construction of large and complex structures, which often leads to difficult concreting conditions. When large quantity of heavy reinforcement is to be placed in a reinforced concrete (RC) member, it is difficult to ensure fully compacted without voids or honeycombs. Compaction by manual or by mechanical vibratos is very difficult in this situation. That leads to the invention of new type of concrete named as selfcompacting concrete (SCC). This type of concrete flows easily around the reinforcement and into all corners of the formwork. Self- compacting concrete describes a concrete with the ability to compact itself only by means of its own weight without the requirement of vibration. Self –compacting concrete also known as Self-consolidating Concrete or Self Compacting High Performance Concrete. It is very fluid and can pass around abstractions and fill all the nooks and corners without the risk of either mortar or other ingredients of concrete separating out, at the same time there are no entrapped air or rock pockets. This type of concrete mixture does not require any compaction and is saves time, labour and energy. This review paper explains the utilization of fibres and various mineral admixtures in the properties of Self Compacting Concrete. The Benefits and Uses of SSC are discussed in this paper and Self-Compacting Concrete is compared with Cement Concrete. A V-Funnel is used to measure the flowability of concrete, and cost of Manufacturing a V-Funnel using Mild steel and Stainless Steel is estimated.
Review on Torsional Analysis and Design of Transmission Line Steel Tower
Authors: Saraf Raja , Chandak Dr. Rajeev
Published: May 2023

Abstract: This paper presents a review of the state of the art and practice of transmission line tower design with specific attention to structure loading conditions. The structural planning and design process involves not just imagination and intellectual thinking, but also a thorough understanding of structural engineering science, as well as practical knowledge of modern design codes and bye laws, as well as a wealth of experience, intuition, and judgement. The goal of standards is to ensure and improve the safety of people and the environment. Tower is a steel structure developed by maintaining a delicate balance between economics and security.
Enhancement and Innovation in Millet Consumption
Authors: M Madhumitha , S Kaviya , R Nandita , V Divya , K Pooja
Published: May 2023

Abstract: Millets is widely cultivated in many parts of India as a staple food for many people. Its production ranks him sixth in India after wheat, rice, maize, sorghum and vajra. Finger millet and pearl or cattail millet have, among other things, high nutritional, antidiabetic and antioxidant properties. Due to India's low socioeconomic status, large amounts of cereals are required to meet the nutritional needs of its growing population. is. These easy-to-grow, vigorous plants may be a good choice for farmers in semi-arid regions of India as they can contribute to a more stable and balanced food supply. If this millet were systematically cultivated, it would enable a significant portion of the malnourished population to eat an incredibly nutritious and inexpensive diet.
Formulation and Evaluation of Rice Face Cream
Authors: Chaudhari Yash , Chaudhari Yachika , Patil Dr. Sunila
Published: May 2023

Abstract: The skin healing benefits of rice have been. known for centuries. Rice is potentially be incorporated into cosmetic formulations. However no scientific evidence supports their role in skin care product Aloe vera is medicinal plant. It is used as traditionally from ancient year in various herbal medicines such Ayurveda ,siddha, and Homeopathic cosmetics and some medicinal products are made up from the mucilaginous tissue in the centre of aloe vera leaf and called aloe vera gel Aloe vera contains 75 potentially active constituents. The aim of this project is to design and develop rice face. Cream, and to which for the brightness of skin.
Parkinson’s Disease Detection using Ensemble Learning
Authors: Kolekar Sachchit , Jain Naman , Mete Amit , Kulal Prof. Nilesh
Published: May 2023

Abstract: In this decade of rapid developments in medical science, most research fail to focus on age related disorders. These are illnesses that manifest their symptoms at a far later stage, making complete recovery practically impossible. Parkinson's disease (PD) is the brain's second most prevalent neurodegenerative condition. One may claim that it is nearly incurable and causes significant suffering to people. All of this indicates that there is an impending demand for accurate, trustworthy, and expandable Parkinson's disease diagnosis. A problem of this magnitude necessitates the automation of the diagnostic to lead accurate and reliable results.Most Parkinson's disease patients have some type of speech impairment or dysphonia,making speech measures and indicators one of the most essential parts in PD prediction. The Goal of this work is to compare various machine learning models in successfully predicting the severity of Parkinson's disease and develop an effective and accurate model to help diagnose the disease accurately at an earlier stage, which could help doctors assist in cure and recovery of PD patients. We want to use the Parkinson's Telemonitoring dataset obtained from the UCI ML repository for the aforementioned purpose.Five Different Classification algorithms, including decision tree, random forest, logistic regression, support vector machine, and knearest neighbors, were used to create individual models. The Ensemble learning method was then applied to combine the predictions of these individual.
Prediction of Coronary Heart Disease using Deep Learning Models
Authors: A Gengadevi.
Published: May 2023

Abstract: More over 80% of deaths from heart disease, including those in Nigeria, are caused by coronary artery disease (CAD), the most prevalent type. The victims were mostly less than 70 years old. More than 17 million people died in 2015 from CVDrelated causes, accounting for more than 30% of all deaths worldwide. It develops over time and progresses through several stages. The stages of CAD include Fatty Streaks, Mild atherosclerosis, Moderate atherosclerosis, Sever atherosclerosis. In this paper, a diagnostic CAD dataset that was collected from the Kaggle website was used to construct a machine learning predictive model for CAD. The dataset was used to create prediction models using machine learning techniques like Naive Bayes, Support Vector Machine, Random Forest, and Gradient Boosting and DNN are applied to compare the results and analysis of the CAD Disease. The models' accuracy, precision, recall, and f1score scores were assessed using performance evaluation methodologies in order to determine the CAD that would have or had already occurred based on a person’s physical condition and data from medical records. Result shows that compared to ML algothims and DL technique, DNN gives more accuracy in less time for the prediction. The prediction accuracy obtained by DNN algorithm is 93.56% and the prediction accuracy obtained by SVM is 83.34%.
Predictive Machine Maintenance Using Tiny ML
Authors: Bhide Abhishek , Ghodake Dnyaneshvar , Jamle Ashish , Shaikh Salman , Bhujbal Prof. S. R.
Published: May 2023

Abstract: Anomaly detection (AD) is detection of pattern in data in expected behaviour. In an industrial environment, any equipment and system that breaks down are affecting productivity. Therefore, Tiny Machine Learning (Tiny ML) is introduced to address this problem. Tiny ML undergo anomaly detection to detect if any equipment did not act expected behaviour and notify the user if an anomaly detection has been detected. Anomaly detection is an unsupervised learning algorithm. It has aim to identify the patterns of data that do not follow the expected behaviour. Tiny Machine Learning (Tiny), a rapidly evolving edge computing concept that links embedded systems (hardware and software) and machine learning, with purpose of realizing ultra-low-power or low-cost and efficiency and privacy also brings machine learning inference to battery-powered intelligent devices. By using TensorFlow Lite Micro, the Tiny ML can be trained to undergo anomaly detection. How is the machine learning process has exported for TensorFlow, then TensorFlow and final TensorFlow L Micro order to upload the machine learning algorithm with Tiny ML. The paper highlight the state the art of the current work on Tiny Machine Learning.
Automated Bank Cheque Processing System
Authors: Mohod Nikita , Guhe Nilay , Adwani Aastha , Upase Kiran , Nimbolkar Vivek
Published: May 2023

Abstract: While digital technology has advanced rapidly in recent years, many financial institutions such as banks still rely on conventional methods to process bank cheques manually. This process is time-consuming and can take several days for the transfer of funds to be completed as it involves verification by intermediaries. As a result, costs can be high. This proposed system aims to streamline the cheque processing process, reduce costs, and improve efficiency. This system will facilitate the process and lead to reduction in time and costs. When it comes to the clearance of bank cheques and monetary transactions, it should not only be dependable and robust, but it should also save time, which is a crucial element in nations with a large population. By automating the entire cheque processing workflow, banks can process cheques faster and more accurately, which improves customer satisfaction and reduces costs associated with manual processing. In this paper, we propose an automated system which extracts relevant details of a bank cheque like Payee Name, Amount in words and number, date, bank name, cheque number, IFSC code, using machine learning algorithms, Optical Character Recognition (OCR) to extract relevant data from the cheque image, deep learning and Convolutional Neural Networks (CNN) to verify that the extracted data matches the information on file, image segmentation to separate different components of the cheque, and image feature extraction to identify patterns and features in the cheque image that can help detect signs of fraud or forgery. It also uses feature extraction to verify the signature on the cheque with the existing signature stored in the database. Additionally, the combination of these methods has improved to reduce errors, making automated bank cheque processing utilizing machine learning a potent tool for banks wishing to automate their check processing procedures.
Tafsir al-Tabari to Surah «Al-Fātih· a». Translation from Arabic and Comments. Part 1: Names, Isti‘ādha and BasmallaTafsir al-Tabari to Surah «Al-Fātih· a». Translation from Arabic and Comments. Part 1: Names, Isti‘ādha and Basmalla
Authors: Frolov D. V. , Zaripov I. A.
Published: May 2023

This article opens a series of publications of the commented translation into Russian of the interpretation to the Surah “al-Fatiha” (No. 1) by the founder of classical Muslim exegesis Muḥammad ibn Jarīr aṭ-Ṭabari (839–923) from the book “Jāmi‘ al-bayān fī ta’wīl al-Qur’ān” (The Comprehensive Exposition of the interpretation of the Qur’ān). This part contains sections devoted to the names of this surah — “Mother of the Qur’ān” (umm al-qur’an), “Opening the Scripture” (fātiḥat al-kitāb) and “The seven repeatable” (as-sab‘u al-mathānī), as well as the prayer formulas with which the Holy Scripture of Islam begins — Isti‘ādha and Basmalla. In the last sections, special attention is paid to the etymology of the words used in these formulas on the based the examples of preslamic poetry and the traditions of the “ancient fathers” of the Ummah.
History of the Moss Farm of Sand Run in Upshur County, West Virginia
Authors: Poling Mikaela I , Fumerola Karen L
Published: May 2023

The Moss family history and that of the farm’s founding and operation
spans the time from the American Revolutionary War (1775-1783) to the
Post-Global War on Terror era (2001-). After living in the Shenandoah
Valley until sometime in the 1840s, the Moss Family migrated to
Northwestern Virginia by 1850 and was living in Upshur County by 1860.
Following service on the Union side during the American Civil War
(1861-1865), they helped establish the community of Sand Run, Upshur
County, West Virginia (USA), where John W Moss founded the Moss Farm in
1903-1904 as a diverse commercial agriculture production, value-added
foods, and catering operation. While declining in the decades following
Moss’s sudden death in 1954, the farm remained in family ownership and
continuous operation for over 100 years, with Moss’s son and grandson
maintaining reduced farming operations. In 2001, Moss’s granddaughter
and her husband purchased the Moss Farm from family and have
reestablished infrastructure and instituted conservation practices.
Sources for this history of the Moss Farm included oral history
interviews conducted by the author, primary source documents, and
artifacts. Irrespective of the outcome, the history of the Moss Farm is
important to the narrative of local history and understanding small farm
dynamics in the first half of the 20th Century and their transition to
the 21st Century.
A multi-mode operation control method for photovoltaic - energy storage virtual synchronous machine to improve the system life
Authors: Liu Fang , li zhongliang , wang xiaomeng , Rasool Urfa
Published: May 2023

The PV-storage virtual synchronous generator (VSG) is an emerging
inverter control strategy for a weak grid; however, it is susceptible to
random load perturbation, which causes unnecessary charging and
discharging of energy storage, affecting its lifetime. In this paper,
VSG selective input and output strategy is proposed to improve the
lifespan of energy storage. The strategy comprises two PV-storage VSG
operation modes and its power coordination control method. Firstly, the
strategy of selective VSG input based on the disturbance size is
proposed, and the VSG input moment is obtained by solving the system of
model equations offline. The selective VSG start method is realized by
matching changes in disturbance frequency online so that the grid can
preferentially utilize the physical generator inertia. Secondly, the
dynamic exit strategy of VSG control based on dynamic frequency
characteristics is constructed to avoid the secondary throughput of
PV-storage VSG during the frequency recovery phase after the grid is
disturbed. It is necessary as the grid variation may affect the energy
storage life and reduce frequency recovery speed. Finally, the
correctness and effectiveness of the proposed scheme are verified by
simulation and semi-physical experiment.
Depth variance in the stoichiometry of marine organic matter and the implications for the global oxygen cycle
Authors: Gerace Skylar Dominic , Fagan Adam J , Primeau Francois W. , Moreno Allison , Lethaby Paul J , Johnson Rodney J. , Martiny Adam Camillo
Published: May 2023

Climate warming is likely resulting in ocean deoxygenation, but models
still cannot fully explain the observed decline in oxygen. One
unconstrained parameter is the oxygen demand for respiring particulate
organic carbon and nitrogen (i.e., the total respiration quotient,
rΣ-O2:C). It is untested if rΣ-O2:C systematically declines with depth.
Here, we tested for such depth variance by quantifying particulate
organic carbon (POC), particulate organic nitrogen (PON), particulate
organic phosphorus (POP), particulate chemical oxygen demand (PCOD, the
oxygen demand for respiring POC), and total oxygen demand (-O2 = PCOD +
2PON) concentrations down to a depth of 1000 m in the Sargasso Sea. C:N
and -O2:N changed with depth, but values at the surface were similar to
those at 1000 m. C:P, N:P, and -O2:P exponentially decreased with depth.
The respiration quotient (r-O2:C = PCOD:POC) and total respiration
quotient (rΣ-O2:C = ‑O2:POC) were both higher below the euphotic zone.
We hypothesize that rΣ-O2:C is linked to multiple environmental factors
that change with depth, such as phytoplankton community structure and
the preferential production/removal of biomolecules. Using a global
model, we show that the global distribution of dissolved oxygen is
sensitive to changes in the PCOD surface production (PPCOD) and depth
attenuation (bPCOD). These variables mostly affect oxygen in the
tropical and North Pacific Ocean, where deoxygenation rates and model
discrepancy are the highest. This study aims to improve our
understanding of biological oxygen demand as warming-induced
deoxygenation continues.
Technology and Wage Share of Older Workers
Authors: Park Donghyun , Shin Kwanho
Published: May 2023

This paper examines the impact of technological change on the wage share of older workers, using data from 30 countries experiencing population aging. It finds that recent technological developments centered on information and communication technology, software, and robots do not adversely affect older workers. This suggests that older workers may be more open to learning and adopting new technologies than widely presumed.
Distinct Insulin Physiology Trajectories in Euglycemic Pregnancy and Gestational Diabetes Mellitus
Authors: Thaweethai Tanayott , Soetan Zainab , James Kaitlyn , Florez Jose C. , Powe Camille E.
Published: May 2023

OBJECTIVE

To evaluate changes in insulin physiology in euglycemic pregnancy and gestational diabetes mellitus (GDM).

RESEARCH DESIGN AND METHODS

Participants underwent oral glucose tolerance tests at ≤15 weeks’ gestation (early pregnancy), 24–32 weeks’ gestation (mid-late pregnancy), and 6–24 weeks postpartum. We evaluated longitudinal changes in insulin secretory response (log Stumvoll first-phase estimate) and insulin sensitivity (log Matsuda index) using linear mixed models. We then evaluated participants who met GDM criteria in early pregnancy (early GDM) and mid-late pregnancy (classic GDM) separately from those without GDM. We derived the pregnancy insulin physiology (PIP) index to quantify β-cell compensation for insulin resistance.

RESULTS

Among 166 participants, 21 had early GDM and 24 developed classic GDM. Insulin sensitivity was reduced slightly in early pregnancy (β = −0.20, P < 0.001) and substantially in mid-late pregnancy (β = −0.47, P < 0.001) compared with postpartum. Insulin secretory response (adjusted for insulin sensitivity) was augmented in early pregnancy (β = 0.16, P < 0.001) and mid-late pregnancy (β = 0.16, P = 0.001) compared with postpartum. Compared with postpartum, the PIP index was augmented in early pregnancy (β = 215, P = 0.04) but not mid-late pregnancy (β = 55, P = 0.64). Early GDM was distinguished by a substantial reduction in early pregnancy insulin sensitivity (β = −0.59, P < 0.001) compared with postpartum. Both early and classic GDM lacked evidence of early pregnancy augmentation of insulin secretory response (adjusted for insulin sensitivity) and the PIP index (P > 0.1 vs. postpartum). Early pregnancy PIP index predicted GDM independent of participant characteristics (area under the curve without PIP index 0.70 [95% CI 0.61–0.79], area under the curve with PIP index 0.87 [95% CI 0.80–0.93]).

CONCLUSIONS

β-Cell function is enhanced in early pregnancy. Deficient first-trimester β-cell function predicts GDM.
DEVELOPING MATHEMATICAL CREATIVE THINKING (CT) ABILITY STUDENTS THROUGH THE TREFFINGER LEARNING MODEL (LM)
Authors: Lambertus Lambertus , Salam Mohamad , Rezkiati Rezkiati , Suhar Suhar , Hasnawati Hasnawati
Published: May 2023

The low ability of CT is a problem that occurs in class VIII students of SMPN 1 Kendari. One reason is the application of inappropriate LM. Treffinger's LM is learning by inviting students to think creatively in solving problems based on the facts around them to come up with various ideas and choose solutions. The purpose of this study was to develop the mathematical CT skills of junior high school students. Class VIII SMPN 1 Kendari as a population consists of 9 classes. Class VIII3 and VIII6 were determined by random sampling technique as an experimental class of 26 students and a control class of 25 students. The finding in this study is that students' mathematical CT skills taught by the Treffinger LM are better than in the guided discovery model. Treffinger's LM is superior in developing CT skills. In addition, Treffinger's LM excels in developing aspects of fluency, flexibility, and elaboration of mathematical CT skills. In contrast, the guided discovery LM excels only in developing aspects of originality.Rendahnya kemampuan CT merupakan masalah yang terjadi pada siswa kelas VIII SMPN 1 Kendari. Salah satu penyebabnya adalah penerapan model pembelajaran yang tidak sesuai. Model pembelajaran Treffinger adalah pembelajaran dengan mengajak siswa berpikir kreatif dalam memecahkan masalah berdasarkan fakta-fakta di sekitar mereka untuk memunculkan berbagai ide dan memilih solusi. Tujuan penelitian ini adalah untuk mengembangkan keterampilan CT matematis siswa SMP. Kelas VIII SMPN 1 Kendari sebagai populasi terdiri dari 9 kelas. Kelas VIII3 dan VIII6 ditentukan dengan teknik random sampling sebagai kelas eksperimen sebanyak 26 siswa dan kelas kontrol sebanyak 25 siswa. Temuan dalam penelitian ini adalah kemampuan CT matematis siswa yang diajar dengan model pembelajaran Treffinger lebih baik dibandingkan dengan model penemuan terbimbing. Model pembelajaran Treffinger lebih unggul dalam mengembangkan keterampilan CT. Selain itu, model pembelajaran Treffinger unggul dalam mengembangkan aspek kefasihan, keluwesan, dan elaborasi keterampilan CT matematis. Sebaliknya, model pembelajaran penemuan terbimbing hanya unggul dalam mengembangkan aspek orisinalitas.
SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM) IN EXPLORING STUDENTS’ CRITICAL THINKING SKILLS
Authors: Suripto Sindy , Fabirah Naba Rubi , Nanna A. Wilda Indra , Bua Mety Toding
Published: May 2023

Critical thinking is one of the profiles of Pancasila students and an important skill in the 21st century that can be developed through project-based learning, with STEM. This study aims to explore the critical thinking skills of elementary school students through STEM learning that focuses on mathematical concepts (presenting data) and science concepts (energy sources) involving the "bottle boat" experiment. Mixed methods were used to collect quantitative and qualitative data involving 18 fourth-grade elementary school students. The research instruments used were observation guidelines, interview guidelines, and critical thinking tests. During STEM learning in the classroom, researchers used observations and interviews. A critical thinking test is given after learning is complete. The results show that (1) students' critical thinking skills can be supported through a project-based STEM approach (2) Invention and argument building are aspects of critical thinking skills with the lowest average compared to other aspects as much as 75%; (c) most students have good critical thinking skills. Therefore, the project-based STEM approach can be one of the ways used to achieve the profile of Pancasila students in elementary schools, especially critical thinking.
Students' Mathematical Representation in Solving Exponential Function
Authors: Utami Nurul Audhifa , Sa'dijah Cholis , Chandra Tjang Daniel
Published: May 2023

One of the important abilities that students need to master when learning mathematics is mathematical representation. This ability will improve students' understanding of concepts, principles and procedures in solving mathematical problems. But in reality, many students have difficulty in conveying their ideas to solve mathematical problems and this has an impact on students' mathematical representation. This research aims to describe the low mathematical representation of students and the factors that caused this. The type of research used is descriptive research with a qualitative approach. Based on this research, it is known that 66.67% of class X MIPA VII students at SMA Negeri 1 Ampek Angkek have low mathematical representation in solving exponential function problems. These results show that students' representation is still low due to difficulty writing down question solving ideas to the use of incorrect settlement intuition. Salah satu kemampuan penting yang perlu dikuasai siswa saat pembelajaran matematika adalah representasi matematis. Kemampuan ini akan meningkatkan pemahaman siswa tentang konsep, prinsip dan prosedur dalam menyelesaikan masalah matematis. Namun kenyataannya, banyak siswa mengalami kesulitan dalam menyampaikan ide-idenya untuk menyelesaikan masalah matematika dan hal tersebut berdampak pada representasi matematis siswa. Penelitian ini bertujuan untuk mendeskripsikan representasi matematis siswa yang rendah serta faktor yang menyebabkan hal tersebut terjadi. Jenis penelitian yang digunakan adalah penelitian deskriptif dengan pendekatan kualitatif. Berdasarkan penelitian ini, diketahui bahwa sebanyak 66,67% siswa kelas X MIPA VII di SMA Negeri 1 Ampek Angkek memiliki representasi matematis yang rendah dalam menyelesaikan masalah fungsi eksponensial. Hasil ini menunjukkan bahwa representasi siswa yang masih rendah yang diakibatkan oleh kesulitan menuliskan ide penyelesaian soal hingga penggunaan intuisi penyelesaian yang salah.
DEVELOPMENT LEARNING MEDIA E.A.V ON MATHEMATICAL CONNECTION ABILITY OF JUNIOR HIGH SCHOOL
Authors: In'am Akhsanul , Darmayanti Rani , Maryanto Bhaskoro Prasetyo Adi , Sah Retno Wahyu Arian , Rahmah Kamilia
Published: May 2023

Technological advances that are overgrowing are also one of the challenges for teachers to use technology as a learning medium. Ethnomathematical animation video as a strategy for linking learning in the real world and mathematical connection skills in solving geometry problems. Therefore, this research aims to create an animated video media based on ethnomathematics on mathematical connection abilities in solving problems in class VIII students. This development study uses the ADDIE metho (Analysis, Design, Develop, Implementation, Evaluation). The results showed that the animated video learning media was adequate, with an overall average score of 3.73 after validation by a Material Expert and an average score of 3.64 after validation by a Media Expert. The responses from the 8th graders were positive (88%) based on the research. Animated video media based on ethnomathematics on mathematical connection abilities can be used as an alternative for teachers in elementary schools to learn geometry material.
Numeracy-Ability, Characteristics of Pupils in Solving the Minimum Competency Assessment
Authors: Muhaimin Lukman Hakim , Dasari Dadan , Kusumah Yaya Sukjaya
Published: May 2023

Mathematics is a subject closely related to everyday problems; the low PISA scores from all fields have made the government make breakthroughs to improve literacy and numeracy skills through the AKM. The purpose of this study was to analyze the characteristics of numeracy skills in solving AKM problems. The type of research used is qualitative with a phenomenological design. The subjects of this study used one mathematics teacher and three eighth-grade students of SMP Muhammadiyah Al Kautsar PK Kartasura Sukoharjo for the 2021/2022 academic year. Using a purposive sampling technique in taking the subject, this study used three students of class VIII as the main subject of the study. In addition to the researcher as the key instrument, the researcher also used AKM questions, interview texts, and observation texts for data acquisition. The validity used is the triangulation of sources and techniques. The inductive technique is the process of data analysis used in this research. The results of the study stated that students' numeracy skills were not perfect, indicator three on giving conclusions was not given for all subjects used. Habituation in solving AKM problems in classroom learning is needed to train students' numeracy skills.