bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Patient Record Linkage in a Master Patient Index Using Machine Learning: Algorithm Development and Validation
Authors: Nelson Walter , Khanna Nityan , Ibrahim Mohamed , Fyfe Justin , Geiger Maxwell , Edwards Keith , Petch Jeremy
Published: May 2023

Background

To provide quality care, modern health care systems must match and link data about the same patient from multiple sources, a function often served by master patient index (MPI) software. Record linkage in the MPI is typically performed manually by health care providers, guided by automated matching algorithms. These matching algorithms must be configured in advance, such as by setting the weights of patient attributes, usually by someone with knowledge of both the matching algorithm and the patient population being served.

Objective

We aimed to develop and evaluate a machine learning–based software tool, which automatically configures a patient matching algorithm by learning from pairs of patient records previously linked by humans already present in the database.

Methods

We built a free and open-source software tool to optimize record linkage algorithm parameters based on historical record linkages. The tool uses Bayesian optimization to identify the set of configuration parameters that lead to optimal matching performance in a given patient population, by learning from prior record linkages by humans. The tool is written assuming only the existence of a minimal HTTP application programming interface (API), and so is agnostic to the choice of MPI software, record linkage algorithm, and patient population. As a proof of concept, we integrated our tool with SantéMPI, an open-source MPI. We validated the tool using several synthetic patient populations in SantéMPI by comparing the performance of the optimized configuration in held-out data to SantéMPI’s default matching configuration using sensitivity and specificity.

Results

The machine learning–optimized configurations correctly detect over 90% of true record linkages as definite matches in all data sets, with 100% specificity and positive predictive value in all data sets, whereas the baseline detects none. In the largest data set examined, the baseline matching configuration detects possible record linkages with a sensitivity of 90.2% (95% CI 88.4%-92.0%) and specificity of 100%. By comparison, the machine learning–optimized matching configuration attains a sensitivity of 100%, with a decreased specificity of 95.9% (95% CI 95.9%-96.0%). We report significant gains in sensitivity in all data sets examined, at the cost of only marginally decreased specificity. The configuration optimization tool, data, and data set generator have been made freely available.

Conclusions

Our machine learning software tool can be used to significantly improve the performance of existing record linkage algorithms, without knowledge of the algorithm being used or specific details of the patient population being served.
Empowering the Invisible: Accelerating Leadership Development for Midcareer Women in Medicine
Authors: Himstedt Jessica D S , Bloomgarden Eve , Shah Purvi
Published: May 2023

Midcareer women physicians face numerous obstacles to career advancement and leadership roles resulting in their contributions and achievements becoming “invisible.” This paper addresses the paradox of increasing professional experience coupled with decreased visibility for women in medicine at this stage in their careers. To address this disparity, the Women in Medicine Leadership Accelerator has developed a leadership skill development program specifically tailored for midcareer women physicians. The program incorporates key principles derived from effective leadership training models and aims to combat systemic barriers while equipping women with the necessary tools to navigate and transform the medical leadership landscape.
Description of the Novel Networking, Open Discussion, Engagement, and Self-Promotion (NODES) Framework for the Advancement of Women Physicians on Social Media
Authors: Pendergrast Tricia
Published: May 2023

The Networking, Open Discussion, Engagement, and Self-Promotion (NODES) framework is a strategy that women in medicine can deploy at conferences to broaden their professional networks and engage with colleagues. The NODES framework was designed and implemented for use at the Women in Medicine Summit, an annual conference that unites women to combat gender inequality in medicine. Intentional use of social media at conferences using the NODES framework by women in medicine can increase the visibility of research projects and may lead to speaking engagements and awards.
Pendugaan Daya Gabung Umum dan Daya Gabung Khusus Jagung Manis dengan Persilangan Dialel Metode Griffing-1
Authors: Supriyanta Bambang , Pratama Mukhlis Syahril , Nabila Nailan
Published: May 2023

Penelitian bertujuan untuk mengetahui nilai daya gabung umum, nilai daya gabung khusus, dan kombinasi persilangan antar genotipe jagung manis (Zea mays saccharate) terbaik. Penelitian menggunakan Rancangan Acak Kelompok Lengkap (RAKL) terdiri dari satu faktor dengan tiga ulangan. Perlakuan terdiri dari 10 genotipe, yaitu SB 1-3, KD 1-1, dan 7/5 1-B sebagai tetua, SB 1-3 x KD 1-1, SB 1-3 x 7/5 1-B, KD 1-1 x 7/5 1-B sebagai F1, KD 1-1 x SB 1-3, 7/5 1-B x SB 1-3, 7/5 1-B x KD 1-1 sebagai F1 resiproknya, dan varietas Talenta sebagai pembanding. Data dianalisis keragamannya menggunakan analisis varians (ANOVA). Apabila ada perbedaan signifikan, dilanjutkan dengan analisis dialel metode Griffing-1. Hasil penelitian menunjukkan karakter tinggi tanaman, diameter batang, jumlah daun, dan anthesis silking interval lebih dominan dipengaruhi oleh varian dominan. Sedangkan pada karakter panjang tongkol tanpa kelobot, diameter tongkol tanpa kelobot, bobot tongkol tanpa kelobot, jumlah biji per baris, kadar kemanisan, dan umur panen lebih banyak dipengaruhi oleh varian aditif. Nilai Daya Gabung Umum terbaik dihasilkan dari tetua SB 1-3 dan 7/5 1-B pada lima karakter yang dievaluasi. Nilai Daya Gabung Khusus terbaik dihasilkan dari persilangan SB 1-3 x KD 1-1 dan SB 1-3 x 7/5 1-B pada enam karakter yang dievaluasi. Kombinasi persilangan SB 1-3 x 7/5 1-B merupakan persilangan terbaik yang mempunyai potensial hasil tinggi seperti varietas pembanding.
Fungsi Ekologis Tanaman di Taman Kearifan (Wisdom Park) UGM
Authors: Anida Julia Wahyu , Irwan Siti Nurul Rofiqo , Alam Taufan
Published: May 2023

Taman Kearifan lokal UGM memiliki fungsi ekologis sebagai pengendali iklim mikro. Penelitian ini bertujuan untuk menganalisis fungsi ekologis tanaman yaitu penurun suhu, kontrol kelembaban, kontrol kecepatan angin, dan peredam kebisingan di Taman Kearifan UGM.  Penelitian dilaksanakan pada bulan Januari-Maret 2022. Metode penelitian yang digunakan adalah metode survei dengan sampel kuadran. Data dianalisis menggunakan Key Performance Index (KPI) dan Uji T-Test. Tanaman di dalam taman menurunkan suhu udara dan meningkatkan kelembaban sebesar 2-3oC dan 6-10% dibandingkan di luar taman. Kecepatan angin, dan tingkat kebisingan di dalam taman lebih rendah dibandingkan di luar, sebesar 0,84-1,21 m/s, dan 14,5-16 dB. Terdapat empat kategori tanaman yang dinilai, yaitu sangat sesuai, sesuai, kurang sesuai, dan tidak sesuai. Kategori dinilai berdasarkan tanaman yang diamati dibandingkan dengan parameter.Tanaman yang tergolong sangat sesuai dalam menurunkan suhu, kontrol kelembaban, dan mengurangi kebisingan adalah loa (Ficus racemosa) dan trembesi (Samanea saman); buah nona (Annona squamosa) dan trembesi (Samanea saman); serta beringin (Ficus benjamina) dan kapuk randu (Ceiba pentandra). Tanaman kategori sangat sesuai dan sesuai pada fungsi ekologis kontrol kelembaban, peredam kebisingan, kontrol kecepatan angin, dan penurun suhu sejumlah 2 dan 20 tanaman, 2 dan 19 tanaman, 0 dan 16 tanaman, serta 2 dan 11 tanaman. Walaupun tanaman kategori sangat sesuai dan sesuai dalam fungsi ekologis penurun suhu dan kontrol kecepatan angin jumlahnya sedikit, tanaman tersebut tetap berpengaruh pada iklim mikro di dalam Taman Kearifan UGM, karena satu tanaman dengan kategori sangat sesuai dan sesuai lebih dapat menaungi lingkungan sekitarnya dibanding beberapa tanaman dengan kategori kurang sesuai.
Pengaruh Campuran Kompos pada Media Tanam Pakis terhadap Pertumbuhan Seedling Anggrek Dendrobium Sp.
Authors: Hanik Nur Rokhimah , Eskundari Ratna Dewi , Wiharti Tri , Putrimulya Riska Satya Graha
Published: May 2023

Pakis merupakan media tanam terbaik untuk anggrek, karena dilindungi maka diperlukan solusi untuk mengurangi atau mengganti media pakis dengan campuran kompos. Pada penelitian ini dipilih kompos kulit kacang tanah dan kompos jerami sebagai campuran media. Selain mengurangi media pokok,  kompos juga dapat berfungsi sebagai pupuk. Tujuan dari penelitian ini untuk mengetahui; 1. pengaruh campuran kompos pada media tanam terhadap pertumbuhan seedling anggrek Dendrobium sp 2. jenis kompos dan komposisi campuran, pada media tanam untuk pertumbuhan seedling anggrek Dendrobium sp. Waktu penelitian 2,5 bulan, objek penelitian adalah Dendrobium sp. anggrek berumur 12 bulan, lokasi penelitian di Desa Gabahan, RT 05 RW 12, Jombor Sukoharjo. Rancangan penelitian acak kelompok dengan 5 perlakuan. Perlakuan Penanaman seedling anggrek dengan media pakis dicampur kompos kulit kacang tanah 1/2 bagian (A), media dicampur kompos kulit kacang tanah 1/3 bagian (B), media dicampur kompos jerami 1/2 bagian (C), media dicampur kompos jerami 1/3 bagian (D), dan perlakuan dengan media pakis sebagai kontrol (E).  Variabel yang diamati adalah jumlah daun, panjang daun, luas daun, jumlah batang, serta tinggi tanaman yang diukur 12 minggu setelah penanaman. Analisis data menggunakan Uji Varian (Uji ANOVA/Kruskal Wallis) dilanjutkan dengan Uji DMRT atau Uji Median Mood. Pemberian campuran kompos pada media tanam baik kompos kulit kacang tanah maupun kompos jerami berpengaruh terhadap pertumbuhan seedling anggrek Dendrobium sp pada variabel panjang daun dan tinggi tanaman. Sedangkan pada variabel jumlah daun, luas daun dan jumlah batang tidak terdapat pengaruh yang signifikan.  Perlakuan campuran kompos B dengan campuran kompos kulit kacang tanah 1/3 bagian memberikan pengaruh paling baik pada variabel pertumbuhan panjang daun, jumlah daun, luas daun, serta jumlah batang. Pengaruh campuran kompos jerami 1/2 maupun 1/3 bagian media terhadap pertumbuhan seedling anggrek kalah bagus dibanding dengan kompos kulit kacang tanah.
Why Do People Choose Watching Adaptations of English Literature Over Reading It?
Authors: Mathew Abin
Published: May 2023

Nowadays people prefer to watch movie adaptations of a work rather than reading it. The main reason is the novel of around two fifty to n number of pages will finish within one and a half to three hours of duration. Even students of literature follow this trend of watching movies rather than reading books. The positive and negative of this trend are different for a student or academia of literature and people from other professions. Through this research paper, I am analyzing what are the positive and negative sides of this trend? How can we acquire the habit of reading books? What are the limitations of film adaptations? How can some directors overcome these limitations? The research is based on my view on five movies from multiple languages including Malayalam, English, Swedish, Hindi and Italian that are adapted from famous novels and plays. The movies are Joji (2021), The Colour Purple (1985), A Man Called Ove (2015), 2 States (2014) and Canterbury Tales (1972)
Vehicle Tracking and Fuel Monitoring System
Authors: Taware Punam Balaji
Published: May 2023

Abstract: The demand for effective methods of transporting goods, such as tracking in real time., determining the site of accidents, and cutting down on financial and logistical fuel waste caused by trucks, is fast growing. This paper outlines a solution for real-time tracking and fuel monitoring, both of which are recognized as primary challenges that the vast majority of trucking businesses are working to address. The goal of this study is to facilitate the requirement for an efficient products transportation system. The proposed system is implemented using IoT (Internet of Things) with a ESP32, which measures important information about trucks in real time using a variety of sensor modules. This information includes the current location of the truck, its fuel level, and any fuel leakage that may be occurring. All of the information that has been acquired is then uploaded into a cloud platform called adafruit IO for the sake of further analysis and monitoring. In addition to that, this technology is able to determine whether or not a truck was engaged in an accident and sends information regarding the location of the accident to the appropriate people through email. The real-time information of the vehicle is accessible in the cloud at any time and from any location for approved users as well as authorized truck owners. This comprehensive system utilizes Internet of Things (IoT) technology to provide accurate real-time tracking, remote monitoring of fuel level and truck condition, and timely delivery of goods, in addition to protecting the truck from theft
Event Hub
Authors: Quadri Muhammad Owais , Soni Rajat , Kumari Priyanka , Vishwakarma Dr. Prabhat
Published: May 2023

Abstract: Event hub system is developed to manage the events like wedding, Birthday parties, Engagement etc. and connect them direct to the market and this web page application is dynamic, easy to use, customers easily able to check the availability of product according to their requirement. Along with this, a frontend we use some basic technology like HTML and CSS and a backendtechnologies include like PHP and MySQL.
Obstructive Sleep Apnea Prediction Using Machine Learning
Authors: Bodkhe Prof. Balaji
Published: May 2023

Abstract: A common sleep problem called obstructive sleep apnea (OSA) is characterized by periodic breathing pauses while you're asleep. For OSA to be effectively treated and related health concerns to be avoided, an early and precise diagnosis is essential. Machine learning approaches have become effective tools in recent years for managing and diagnosing OSA. The research that used machine learning techniques for OSA detection and prediction are reviewed in detail in this publication. A large dataset made up of polysomnography recordings and clinical data from OSA sufferers was gathered in order to achieve this. Using this dataset, many machine learning models were trained to categorize the severity levels of OSA or predict the occurrence of OSA, including support vector machines, random forests, and deep neural networks. The findings demonstrated the powerful ability of machine learning algorithms to recognize OSA and distinguish between various severity levels. These models outperformed conventional diagnostic techniques in terms of high sensitivity and specificity rates. To further shed insight on the underlying patterns and processes of the illness, feature selection approaches were used to determine the most pertinent physiological parameters for OSA detection. The effectiveness and precision of screening and therapy strategies may be improved by incorporating machine learning algorithms into OSA diagnosis. This study advances our understanding of the use of machine learning in sleep medicine and paves the door for the creation of automated and individualized OSA diagnostic tools.
Assessing The Quality and Prioritize Improvements of E-government Using E-govqual and Importance Performance Analysis
Authors: Prasetyo Beny , Adnan Fahrobby , Darmawan Jihan Tsanisya
Published: May 2023

The Gresik Regency Government in 2020 has made new innovations in the development of E-Government as a form of implementing Presidential Regulation Number 3 of 2003 Regarding National Policy and Strategy for E-Government Development. Through the launch of the Pelayanan Online Pendaftaran Administrasi Kependudukan Gresik (Poedak) managed by the Population and Civil Registration Service. Poedak service aims to make it easier for the people of Gresik Regency to take care of population files. This study uses the E-GovQual method to measure the extent to which the quality of Poedak services is based on what users perceive, and the IPA method maps attributes according to improvement priorities. This study showed that the average score on the performance level assessment on all E-GovQual variables had a score of 3.13. Then the average score on the importance assessment on all E-GovQual variables was 3.08. So that the value of the gap between performance and importance can be known by 0.05. The results of the conformity analysis between the performance level and the importance level have a conformity value of >100% which is 102%. Thus, the overall performance of the Poedak service is good and meets the expectations or interests of users. There are 4 attributes that are included in quadrant 1, namely the quadrant with the main priority scale, namely an adequate response format (FIAA2), providing timely service (RA2), loading speed time on the website (RA5), and ease of understanding information content (CAIA6).
Integration of Fuzzy C-Means and SAW Methods on Education Fee Assistance Recipients
Authors: Fadlil Abdul , Riadi Imam , Mulyana Yana
Published: May 2023

Every year, UMTAS gets a quota for KIP tuition fee assistance provided by KEMDIKBUD. This program is intended for high school / vocational/equivalent graduates from poor and vulnerable families. The evaluation results of its implementation have problems, including the number of applicants exceeding the quota given by KEMDIKBUD and some applicants coming from well-off families. This research uses the fuzzy c-means method for data clustering and the SAW method for ranking. The results of data grouping using the fuzzy c-means method obtained the first cluster (C1) of 72 data and the second cluster (C2) of 119 data. Group C1 is closer to the provisions of aid recipients (eligible) compared to data group C2 (ineligible) because Data C1 consists of 100% DTKS recipients, 50% KIP and KKS card owners, 100% parental income <750,000, 40.28% parental dependents >=2 people and 29.17% applicants with achievements. 72 registrant data included in Data C1 are then ranked using the SAW technique to get weights, and 30 data with the highest weight will be used as a decision on recipients of KIP-Kuliah Education fee assistance according to the quota provided. The optimization of Fuzzy C-Means with SAW methods in selecting recipients of education fee assistance is objective and right on target.
Visual Analysis Based on CMY and RGB Image Cryptography Using Vigenere and Beaufort Cipher
Authors: AtikaSari Christy , Utomo Danang Wahyu , Doheir Mohamed A S
Published: May 2023

The achievement of visual aspects and image security often cannot meet visibility standards, for example the acquisition of PSNR and UACI NPCR values. To increase security, this research has implemented a combination of the Vigenere cipher and Beaufort and the use of Fibonacci as a randomizer. The combination of the Vigenere Cipher and Beaufort Cipher substitution algorithms with the Fibonacci technique can be applied to encrypt color images in RGB and CMY, with a size of 256x256 pixels and in .bmp format. The Fibonacci cut-off value used in this study is 10000. The highest entropy value of the cipher image peppers.bmp is 7,991. The lowest PSNR cipher image value is accordion.bmp where for RGB it is 5,439 dB and for CMY it is 5,403 dB. accordion.bmp's highest UACI value is 44.018% for RGB and 44.312% for CMY. The NPCR value in the airplane.bmp image has the highest value in RGB of 99.792% and for CMY the highest value is in splash.bmp with a value of 99.798%. Evaluation of the decryption results shows that the decryption process can run perfectly as indicated by the values of MSE=0, PSNR=inf, UACI and NPCR=0%. Therefore, encrypt and decrypt was proven that the results obtained in the visual aspect are very good.
Comparison of CNN’s Architecture GoogleNet, AlexNet, VGG-16, Lenet -5, Resnet-50 in Arabic Handwriting Pattern Recognition
Authors: Nugraha Gibran Satya , Darmawan Muhammad Ilham , Dwiyansaputra Ramaditia
Published: May 2023

The Arabic script is written from right to left and consists of 28 characters, with no capital or lowercase letters. The Arabic script has several orthographic and morphological properties that make handwriting recognition of the Arabic script challenging. In addition, one of the biggest challenges in recognizing Arabic script patterns is the different handwriting styles and characters of each person's writing. The authors propose a study to compare the accuracy of handwriting pattern recognition in Arabic script which has been done previously by comparing five CNN architectures, namely GoogleNet, AlexNet, VGG-16, LeNet-5, and ResNet-50. Considering that previous research has not obtained excellent accuracy. The number of datasets used is 8400 image data and the most optimal comparison of testing and training data is 80:20. Based on the research that has been done, there are several things that the author can conclude. The model is made using 64 filters for each convolution layer because the optimal size is used for 5 architectures, kernel size is 3x3, neurons is 128, dropout weight is 50% to reduce overfitting, learning rate is 0.001, image size is 64x64, the normalization method with the ReLU activation function, and 1-dimensional input image (grayscale), and with a comparison of testing and training data of 80:20. The VGG-16 architectural model is the architecture that gets the highest score, namely 83.99%. This can have good potential to be developed as a medium for learning Arabic script.
Public Opinion Analysis of Presidential Candidate Using Naïve Bayes Method
Authors: Firdaus Asno Azzawagama , Yudhana Anton , Riadi Imam
Published: May 2023

Elections for president and vice president will take place in 2024. Heading into the election, promoted candidates were vying for public sympathy. People often discussed as presidential candidates are Anies Baswedan, Ganjar Pranowo, and Prabowo Subianto. Therefore, we need a way to predict potential candidates and voter demographics from public opinion on Twitter using sentiment analysis. One of his methods commonly used to classify sentiment analysis is Naive Bayes. This study used the naive Bayes classifier and the TF-IDF extraction function to add weights to the text. Use the scikit-learn Python library to help determine the polarity of negative and positive sentiment classes in your dataset. The datasets used were Twitter datasets acquired from October to December 2022, for a total of 15,000 datasets. The best test scenario obtained by splitting the test and training data is 70% test data and 30% training data, with the highest accuracy generated from the 95% Ganjar dataset. Using the Anies, Ganjar, and Prabowo test data, the positive mood scores for each candidate were 833, 77, and 524, respectively, while the negative mood scores were 637, 1423, and 976, respectively. The test was performed using a confusion matrix and k-fold cross-validation, and the best results were obtained on the Ganjar data set. That is a confusion matrix of 94.93% and a k-fold cross-validation of 94.46%. The lowest f1-score for the positive class is 67% for the Anies dataset and 27% for the negative class for the Ganjar dataset.
Leveraging Text-Mining Techniques On Electronic Medical Records to Analyze National Drug-insured Medication Use
Authors: Wibawa Adhi Dharma , Ramadhani Prio Adi , Buntoro Ghulam Asrofi , Hariadi Ridho Rahman , Siswanto Putri Alief , Sabilla Shoffi Izza
Published: May 2023

Processing electronic medical record (EMR) data has become a common practice among scientists for extracting valuable insights and studying diseases. Given the large volumes of text data in EMRs, efficient computerized text-mining techniques are necessary. As academics, we recognize that drug-used analysis from EMR data in Indonesia is currently limited. This study focuses on obtaining meaningful insights from EMR data to make positive recommendations for hospitals. The proposed method uses pattern-based Regular Expressions (regex) to extract drug names and a Levenshtein distance algorithm to check their compatibility. We developed the pattern based on analyzing Indonesia EMR data. The extracted drug names were compared to a list of selected drugs (National Drug-Insured/Fornas) that are required and must be provided at healthcare facilities in Indonesia. The Levenshtein distance threshold was set to two to decide whether the extracted drug names belonged to nationally drug-insured or not. Only about 11.09 – 16.11% of medications given by doctors are listed in the Fornas drug list. Between 2019 and 2021, there was an inaccuracy in the writing of prescriptions for Fornas drugs, with as many as 57.53% to 63.21% of drug names being written incorrectly. The results of this study indicate that the Levenshtein distance algorithm has promising potential for implementation in the Ministry of Health of Indonesia, with a precision rate of 97.07%.
Os desafios do combate à desinformação no Brasil: modalidades e perspectivas
Authors: Silva Marques Rodolfo , Guimarães de Oliveira Ivana Cláudia , Camarão França Neto Mário
Published: May 2023

Propor debates sobre desinformação é desafiador. Processos como a pandemia de Covid-19 ou cenários político-eleitorais reforçam a necessidade do combate às distorções e à desinformação. Quando se trata de ciência e de saúde, torna-se mais relevante. Nossos objetivos são demonstrar as principais modalidades de desinformação existentes e discutir as consequências danosas para o público do Brasil, “locus” de análise. Os caminhos metodológicos usados são a revisão de literatura e a categorização dos tipos desinformação verificados no país entre 2020 e 2021. Nas considerações finais, observam-se a onipresença da desinformação no país e a ampliação dos mecanismos de enfrentamento a ela.
Revisiting green supplier selection publications from the last decade (2010-2022): a structured review and bibliometric study
Authors:   NEOMA Business School − Campus de Reims: Reims, France, Chen Yen-Tsang
Published: May 2023

Almost ten years have passed since some seminal structured literature reviews about multi-criteria decision-making for green supplier selection were published. We aimed to investigate the evolution of intellectual struc- tures in this field through a structured literature review and bibliometric analysis using publications between 2010 and 2022. We noted that mathe- matical and analytical approaches are still dominating, and the complexity of the methods has increased. Bibliometrically, their theoretical foundation and techniques are the same despite the change of leading papers over time. Our contribution consist in extending earlier studies and discussing the evolution of the field. Keywords: green supplier selection, multi-criteria decision-making, structured review, bibliometric analysis.
Implications of parameter selection in dynamic multiobjective models in economics and finance
Authors:   Universitat Politècnica de València, Ferràndiz y Carbonell, s/n, 03801, Alcoy, Spain, Salas-Molina Francisco , Pla-Santamaria David ,   Universitat Politècnica de València, Ferràndiz y Carbonell, s/n, 03801, Alcoy, Spain, Garcia-Bernabeu Ana ,   Universitat Politècnica de València, Ferràndiz y Carbonell, s/n, 03801, Alcoy, Spain, Reig-Mullor Javier ,   Universidad Miguel Hernández de Elche, Av. de la Universidad, s/n, 03202, Elche, Spain
Published: May 2023

Time is a key variable in the field of economics and finance. However, most of the classic approaches to economic problems are static. In this pa- per, we first review the existing literature on the use of multiobjective techniques to control dynamic systems within the area of economics and finance. We also tackle the question of which measure should we use to evaluate alternative solutions. To this end, we elaborate on the meaning added by the selection of a parameter in a family of distance functions used to evaluate alternative solutions. Keywords: time, dynamic systems, economics, distance function, review.
Objective weights for scoring: the automatic democratic method
Authors:   University of Hertfordshire: Hatfield, GB, Tofallis Chris
Published: May 2023

When comparing performance (of products, services, entities, etc.), multiple attributes are involved. This paper deals with a way of weighting these attributes when one is seeking an overall score. It presents an objec- tive approach to generating the weights in a scoring formula which avoids personal judgement. The first step is to find the maximum possible score for each assessed entity. These upper bound scores are found using Data Envelopment Analysis. In the second step the weights in the scoring for- mula are found by regressing the unique DEA scores on the attribute data. Reasons for using least squares and avoiding other distance measures are given. The method is tested on data where the true scores and weights are known. The method enables the construction of an objective scoring for- mula which has been generated from the data arising from all assessed en- tities and is, in that sense, democratic. Keywords: multi-attribute decision making, weighting, ranking, performance measurement, composite indices, data envelopment analysis.
Axiomatic characterizations of probabilistic max-min extended choice correspondence
Authors:   (Former Professor) PDE University, India and (Adjunct Professor) LJ University, India, Lahiri Somdeb
Published: May 2023

In this paper we provide two axiomatic characterizations of the proba- bilistic max-min extended choice correspondence support, for a decision maker who has state-dependent preferences (represented by a linear order) over the set of alternatives and a (subjective) probability vector over states of nature, where both preferences and probability vectors are variable. Keywords: state-dependent preferences, extended choice correspondence.
IMPLEMENTASI DAN ASESMEN PEMBELAJARAN BERDIFERENSIASI PADA MATERI ANEKDOT UNTUK SISWA SMA
Authors: Widiastuti Yuanita , Rani Abdul , Wahyuni Sri
Published: May 2023

This study aims to describe the implementation and assessment of differentiated learning on anecdotal material for high school students by reviewing the alignment of predetermined learning instruments. The design in this study is a mix method. The data collection procedure was carried out by researchers by distributing questionnaires and interviewing Indonesian language teachers in class X as respondents. Respondents filled out the prepared questionnaire using the Google Form format. Data analysis was carried out descriptively. The findings of the differentiated learning assessment research on content differentiation components are well implemented. The assessment of the process differentiation component was implemented well in two aspects, namely the implementation of the way in which the material was delivered varied according to students' understanding abilities and there were variations in activities to understand the material based on the container. Three aspects of the assessment indicators are still experiencing differentiation. Differentiated learning assessment on product differentiation components is well implemented. The results of the research on the implementation of differentiated learning assessments on anecdotal material for high school students serve as a guideline for Indonesian teachers in conducting assessments in favor of learning profiles.
PEMBELAJARAN SINTAKSIS BAGI PEMBELAJAR ASING YANG BERBAHASA PERTAMA BAHASA INGGRIS
Authors: Latifah Latifah
Published: May 2023

Syntax is a branch of linguistics that discuss the relationship between words in speech , language elements that are included in the scope of syntax is a phrase, clause , sentence . Learn syntax for foreign speakers is not easy , it takes a lot of practice so that students are able to understand the material and found it difficult syntax of the results of the exercises . Difficulties and constraints Indonesian Phrases patterned material or noun - adjective DM , whereas the English phrase patterned MD - noun or adjective , thus allowing the formation of fault Indonesian phrases by foreign speakers . Difficulties in material clauses are any deformities of grammatical tense marker in English into lexical time markers in Indonesian . The existence of multiple forms of predicates in the English language into a form of predicate in Indonesian can actually facilitate foreign learners in learning Indonesian clause for foreign learners do not need to be bothered with the selection predicate forms that must be used . Learning difficulties at the level of sentences for foreign speakers closely associated with a lack of understanding of the concept of morphological. By understanding the difficulties experienced by the learners experienced difficulties in practice able to be overcome by focusing on the difficulties faced by learners.Keywords :syntactic learning for foreign speakersÂ
PENINGKATAN KEMAMPUAN MENULIS PUISI MELALUI PEMBELAJARAN CONTEXTUAL TEACHING LEARNING (CTL) DI KELAS V SD NEGERI 2 KALITINGGAR PURBALINGGA
Authors: Muslim Arifin
Published: May 2023

Penelitian ini bertujuan untuk meningkatkan kemampuan menulis puisi siswa melalui pembelajaran Contextual Teaching Learning (CTL). Subjek penelitian adalah siswa kelas V SD Negeri 2 Kalitinggar dengan jumlah siswa 30. Penelitian tindakan kelas dilaksanakan dalam 2 siklus. Setiap siklus terdiri dari 2 pertemuan, yaitu 1 pertemuan terdiri dari 2 jam pelajaran. Prosedur pelaksanaan setiap siklus meliputiperencanaan, pelaksanaan tindakan, observasi, dan refleksi. Pengumpulan data diperoleh dari lembar kemampuan guru dalam merancang rencana pembelajaran, lembar kinerja guru, dan hasil kemampuan siswa dalam menulis puisi bebas. Berdasarkan penelitian kemampuan siswa dalam menulis puisi diperoleh nilai rata-rata siklus I sebesar 68,2 (53,33%), dan pada siklus II diperoleh nilai rata-rata 81,66 (90%). Dengan demikian disimpulkan bahwa Contextual Teaching Learning (CTL) dapat meningkatkan kemampuan menulis puisi kelas V SD Negeri 2 Kalitinggar Purbalingga.Kata kunci : Menulis, puisi, (CTL), Bahasa Indonesia.
KELAYAKAN E-COMICS PORTABLE BAHASA INDONESIA KELAS VIII BERDASARKAN ANALISIS VALIDASI AHLI
Authors: Nurhayatin Titin , Marlia Marlia , Fauziyyah Desti Fatin
Published: May 2023

Penelitian ini memaparkan kelayakan media pembelajaran Bahasa Indonesia kelas VIII berupa e-comics portable yang dapat diakses melalui gawai (aplikasi webtoon). E-comics portable ini divalidasi oleh ahli materi Bahasa Indonesia,Â  ahli multimedia (aplikasi/software), dan respons peserta didik. Berdasarkan validasi dari ketiga pihak tersebut, dapat dinyatakan bahwa e-comics portable Bahasa Indonesia untuk kelas VIII layak digunakan. Dengan demikian, peserta didik diharapkan lebih tertarik dan termotivasi untuk membaca sehingga materi yang dipelajari mudah dipahami.
REPRESENTASI WACANA BERITA PILPRES DI MEDSOS
Authors: Mahardika Reka Yuda , Ahmadi F Yusep
Published: May 2023

The background of this research is the large number of tendentious reports that are pro or contra against presidential candidate pairs. The purpose of this research is to represent procontra and tendentious news which is spread on social media. The method used is the descriptive method with analytical knife used to elaborate the news text is the van dijk type critical discourse analysis (AWK). Using van Dijk 's analysis knife, it was found that the news on that were distributed on social media did not objektif ethical principles and were tendentious towards presidential candidate pairs
PENINGKATAN PENGETAHUAN DAN KETERAMPILAN MENULIS CERITA FANTASI SISWA MTs MELALUI PENDEKATAN INDUKTIF
Authors: Aryana Suhud
Published: May 2023

This research is a quasi-experimental research which aims to examine the knowledge and skills of writing fantasy stories between MTs students who use the Inductive approach with ordinary learning. Researchers accept the condition of the subject as it is. In instrument trial calculations and data processing using Microsoft Excel and SPSS 24 programs. The results showed: (1) The knowledge ability of writing fantasy stories of MTs students whose learning uses an inductive approach is better than those using ordinary learning with an average of 66.98 (experimental class) and 51.40 (control class); (2) The ability of MTs students to write fantasy stories whose learning uses the inductive approach is better than those who use ordinary learning with an average of 74.30 (experimental class) and 53.60 (control class); (3) There is a very strong association between knowledge skills and fantasy story writing skills with a Q value of 0.80; (4) The difficulties experienced by students in completing questions and practical assignments in writing fantasy story texts were generally in the indicators of improving fantasy stories in terms of diction, dialogue sentences, and punctuation errors.
STRUKTUR DAN NILAI MORAL CERPEN "BARONGSAI MERAH PUTIH" KARYA ADE SUGENG WIGUNO
Authors: Ahmadi F Yusep , Aeni Eli Syarifah , Marfuah Nurul Fauziah
Published: May 2023

This research is a research on the short story Barongsai Merah Putih by Ade Sugeng Wiguna. This short story was chosen because it is one of the short stories that entered the finalists of the Nusantara Writing Competition 2012. The formulation of this research is how the structure and moral value of the short story Barongsai Merah Putih. The method used is descriptive qualitative method. The data source was obtained from the short story Barongsai Merah Putih which was recorded with 9 other short story finalists published by Gramedia Pustaka Utama. The results of the study show that this short story has a complete set of intrinsic elements such as themes, characters and characterizations, settings / backgrounds, points of view, language style, plot, mandate. The moral values found are moral obedience, solidarity, perseverance, mutual cooperation, never giving up (persistence), and the value of patience. It can be concluded that the presence of intricate elements in the short story builds the short story to be coherent and rich in moral values.Â Â
Poor nutritional status of fifteen-year-old or younger adolescent mothers enhances the risk of small-for-gestational-age newborns
Authors: Alves Maria Francisca Alves , Corleta Helena von Eye , Capp Edison , Lubianca Jaqueline Neves
Published: May 2023

To analyze the factors (socio-demographic, clinical, prenatal care, delivery, postpartum data and anthropometric measures) associated with the birth of small for gestational age newborns.
Is it possible to get Covid infection 3 times? Case report
Authors: Chaves Eunice Beatriz Martin , Dantas Filho Fábio Fernandes , Fernandes Fernando Schmidt , Fighera Tayane Muniz , Callegaro Fabiane Pienis
Published: May 2023

Rare cases of suspected COVID-19 reactivation have been reported. Reactivation is defined by two positive real-time RT-PCR results for the SARS-CoV-2 virus, with an interval equal to or greater than 90 days between two episodes of COVID-19. A nurse, started with COVID-19 symptoms in July 2020 and a RT-PCR SARS-CoV-2 confirmed the diagnosis. In November 2020, more than 4 months later, she developed a new episode of COVID-19 confirmed by a second RT-PCR SARS-CoV-2. The patient received a first dose of CoronaVac – (Sinovac/Butantan) in January 2021 and a second dose in February 2021, but 30 days after a third episode was confirmed. Contrary to what happens with many infectious diseases which generate antibodies and protect people from future episodes, this aspect is still not clear in relation to COVID-19. In addition to vaccination, the use of Personal Protective Equipment is essential for healthcare Workers.
Understanding accounting fraud motivation, protection procedures, and firms’ performance: External auditors’ perspective
Authors: Yaqoub Mariam , Hamad Shaikha , Alhammadi Hafsa , ElKelish Walaa Wahid , Abdalla Yousif Abdelbagi , Hussain Atia
Published: May 2023

This paper explores accounting fraud motivation, protection procedures, and the impact on firms’ performance from the perspective of external auditors. Data were collected through semi-structured interviews with highly experienced external public auditors. This paper highlights personal and environmental factors as the two most essential fraud motivations. Examining and checking on the internal audit system’s strengths and weaknesses are more important in detecting fraud than training and auditing procedures. Besides, the findings show that modern technology can minimize the chances of fraud by providing efficient and timely preventive measures (Halbouni et al., 2016). However, it is difficult for software developers to create systems that address new types of fraud, explaining why human auditing skills are vital in detecting procedures. The findings highlight similarities and differences in technology use in the private and public sectors’ fraud protection procedures. Furthermore, fraud activities, directly and indirectly, affect revenues, reputation, and customer trust, respectively (Omar et al., 2016). By understanding the motivations for fraud, protection procedures, and the impact on firms’ performance, this study has the potential to contribute to the development of best practices and effective strategies for preventing, detecting, and managing accounting fraud
Left Ventricle Pedunculated Thrombi Risks and Outcomes: A Case Report and Systematic Review
Authors: Sakr Eman El-Sayed , Ali Ahmed Ali
Published: May 2023

We report a case of a 42-year-old male with cardiomyopathy and acute
bilateral femoral artery embolization. Following bilateral femoral
artery embolectomy and fasciotomy, transthoracic echocardiography
revealed a pedunculated highly mobile left ventricle (LV) thrombus.
Surgical removal of the thrombi was not recommended for the procedural
risk; consequently, anticoagulation therapy was recommenced.
Unfortunately for the patient, the bleeding risk impeded the
continuation of anticoagulation, which resulted in an increase in the
thrombus size. The patient shortly developed multiorgan failure and
possibly disseminated intravascular coagulopathy (DIC) and died. Besides
this case, we have systematically reviewed the PubMed and Scopus
databases for all the previously reported pedunculated thrombus/ thrombi
cases.
A compositional data model to predict the isotope distribution for average peptides using a compositional spline model.
Authors: Agten Annelies , Vilenne Frederique , Valkenborg Dirk
Published: May 2023

We propose an updated approach for approximating the isotope
distribution of average peptides given their monoisotopic mass. Our
methodology involves in-silico cleavage of the entire UNIPROT database
of Human reviewed proteins using Trypsin, generating a theoretical
peptide dataset. The isotope distribution is computed using BRAIN. We
apply a compositional data modelling strategy that utilizes an additive
log-ratio transformation for the isotope probabilities followed by a
penalized spline regression. Furthermore, due to the impact of the
number of Sulphur atoms on the course of the isotope distribution, we
develop separate models for peptides containing zero up to five Sulphur
atoms. Additionally, we propose three methods to estimate the number of
Sulphur atoms based on an observed isotope distribution. The performance
of the spline models and the Sulphur prediction approaches is evaluated
using a mean squared error and a modified Pearson’s χ² goodness-of-fit
measure on an experimental UPS2 data set. Our analysis reveals that the
variability in spectral accuracy contributes more to the errors than the
approximation of the theoretical isotope distribution by our proposed
average peptide model. Moreover, we find that the accuracy of predicting
the number of Sulphur atoms based on the observed isotope distribution
is limited by measurement accuracy.
A Novel Compact and Tunable Positive and Negative Impedance Simulator and Multiplier
Authors: Al-Absi Munir
Published: May 2023

This paper presents a compact CMOS tunable positive and negative
active inductor simulator (AIs), positive capacitance and resistance
multiplier and negative capacitance and resistance simulator. The
proposed design use only one analog building block (ABB) and three
passive elements. Applications in the design of different types of
tunable filters and parasitic compensation are also presented. The
functionality of the design is confirmed using Tanner Tspice in 0.18µm
TSMC CMOS technology. Simulation results indicate that the proposed
design is superior to previous arts in many aspects.
Quality of life of patients with primary open-angle glaucoma, primary angle closure glaucoma, and pseudoexfoliation glaucoma in Central Serbia
Authors: Marceta Elizabeta , Sarenac-Vulovic Tatjana , Petrovic Nenad , Vulovic Dejan , Trenki Marija , Randjelovic Danijela , Todorovic Dusan
Published: May 2023

Background/Aim. Impaired vision resulting from glaucoma can have deleterious effects on both physical and mental health. This study aims to examine the adverse im-pacts of primary open-angle glaucoma (POAG), primary angle closure glaucoma (PACG), and pseudoexfoliation glaucoma (PEG) on the quality of life (QoL) in Central Serbia. Methods. This research, designed as a cross-sectional study, included 102 patients treated for POAG, PACG, or PEG. The patients were divided into three groups (POAG, PACG, and PEG) based on the type of glaucoma they suffered from and were monitored for six months. The data on the QoL were obtained with the National Eye Institute Visual Functioning Questionnaire 25 (NEI VFQ-25). Using the appropriate algorithm, the total NEI VFQ-25 scores were calculated for each group. Results. The questionnaire showed that scores for general vision were significantly lower in the PEG group than in the other two groups (PEG: 61.1 ? 12.6; POAG: 71.6 ? 17.9; PACG: 75.7 ? 11.6), p < 0.001. General health, eye pain, distance vision, social functioning, peripheral vision, reduced ability in daily activities, and dependence on others were also statistically significantly lower in the PEG group. The highest value of near vision was recorded for the POAG group (76.2 ? 21.2). The highest mean value in glaucomatous visual field defect was recorded in the PEG group (14.5 ? 3.6 dB). Conclusion. This research has demonstrated that the QoL is significantly lower in patients suffering from PEG compared to those suffering from POAG and PACG. Concerning the general health of patients, eye pain, distance vision, as well as the domain of social and everyday functioning, the lowest scores for individual areas of examination according to the NEI VFQ-25 were recorded in PEG patients. The results indicate that serious measures should be taken in order to improve the QoL of glaucoma patients.
sentido da Expiação a partir de epistemologias contemporâneas
Authors: Silva Vardilei Ribeiro da
Published: May 2023

A Teologia da Expiação de Cristo constitui-se para os cristianismos Protestante e Católico Romano uma doutrina solidificada, que encontra na leitura e interpretação dos textos bíblicos a sua fundamentação. A igreja foi desenvolvendo a sua teologia, sobretudo, no período da Patrística, mas também em Santo Anselmo, representante do Escolasticismo. A partir dele, propagandeou-se a imagem de um Deus ofendido em sua honra pelos pecados humanos que requeria uma satisfação, que só poderia ser alcançada pelo próprio Deus, em sua perfeição. Em sua obra: “Por que Deus se fez homem?”, Anselmo fundamentou sua tese que seria fonte de reflexão nos anos que se seguiriam, inclusive no período da Reforma Protestante. Os diferentes reformadores, mesmo discordando em alguns pontos, convergem com o pensamento de Anselmo, ao afirmarem de diferentes maneiras a necessidade da morte vicária de Jesus devido os pecados humanos. Geralmente, a Teologia da Expiação, conforme o pensamento majoritário, apesar de apontar para o amor divino que vem ao encontro do ser humano e o redime, não deixa de destacar um Deus que não perdoa, sem sacrifícios. Para certos autores, mencionados no artigo, essa imagem de Deus não se coaduna com a imagem do Deus manifesto em Cristo Jesus e ousam repensar e redefinir tal imagem, contribuindo para a decolonização epistemológica da Teologia, especificamente da Teologia da Expiação. Para a Ciência da Religião, a reflexão dessa temática é pertinente, pois diz respeito a um dos temas estruturantes na Teologia cristã.