bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study to Scrutinize the Aspects Concerning Patient Decision-making and Dental Prosthesis Selection
Authors: Nedumgottil Binoy M. 
Published: July 2022

Introduction:
Apt treatment scheming and decision-making are essential when fabricating dental prostheses that satisfy the patients' needs and have acceptable lifetime and function. As a result, not only do the dentist's technical skills and clinical judgment matter, but the patients' attitude toward treatment also matters when it comes to posttreatment contentment.

Aim:
The goal of this trial is to contemplate the elements that impact patients' decision-making and dental prosthesis choice.

Materials and Procedures:
A cross-sectional survey was done to examine patients' attitudes toward tooth auxiliary. This survey was organized using a prevalidated questionnaire that included each patient's demographic information, either they accept or deny the dentist's treatment plan, and a closed-ended multiple-choice question describing the reasons.

Results:
The data were statistically analyzed using the Chi-square test with a significance threshold of P = 0.05. The top five reasons were excessive costs (35%), fear of dental treatment (20%), lack of need (15%), unwillingness to undergo preprosthetic therapy (11%), reliance (6%), and other factors (13%).

Conclusion:
The majority of patients in the sample population analyzed denied the offered treatment plan and agreed to take the substitute. The most prevalent reason for this rejection is excessive spending.
Prosecuted for Attempting Suicide: A Retrospective Study in a Malaysian Forensic Psychiatric Unit
Authors: Khamis Johari , Panirselvam Ravivarma Rao , Badruddin Norhameza Ahmad , Rahman Farynna Hana Ab , Chan Lai Fong 
Published: July 2022

Introduction and Study Objectives:
Criminalization of suicide attempts is an archaic barrier to suicide prevention. Malaysia remains one of the few upper middle-income countries that still criminalizes suicide attempts. Globally, clinical profiles of prosecuted suicide attempters are an under-researched area. Recognizing the prosecuted would aid in understanding the survival and help in the narrative for the need for decriminalization of suicide attempts.

Method and Materials:
This retrospective study of clinical notes aims to describe the clinical profiles of individuals who were charged for attempted suicide and subsequently sent for criminal responsibility and fitness to plead evaluation in a forensic psychiatric unit in Malaysia from January 1, 2008, to December 31, 2019.

Results:
We identified 22 cases who were mostly adult males (90.9%) and half of the individuals were hospitalized post-attempt due to lethality of method. Seventy-three percent have a psychiatric disorder. Mood disorders were more prevalent (32%) followed by psychotic disorders and substance use disorders. For most of these individuals, this was the first contact with any form of mental health services and 41% defaulted their treatment before arrest. Notably, a large portion of the sample (72.7%) had no additional criminal charge.

Conclusion:
Criminalization of suicide attempts complicates the care pathway for individuals who attempt suicide in Malaysia. The criminal justice pathway can significantly delay treatment. Legal processes and assessments that persons prosecuted for suicide attempt have to undergo may take precedence over mental health care. The clinical outcome post-discharge is largely unknown to a group that is at increased risk of suicide. Therefore, this sample illustrates a vulnerable group who has been and will be disengaged with mental healthcare. Future research is warranted to further investigate mechanisms that are effective in addressing unmet needs of persons in suicidal crisis as opposed to utilizing the criminal justice pathway include the need for decriminalization of suicide attempts.
Outbreak of Typhoid Fever in Children of Urban Vellore: A Report from the Surveillance for Enteric Fever in India Cohort
Authors: Srinivasan Manikandan , Sindhu Kulandaipalayam Natarajan , Kumar J. Senthil , Ramasamy Ranjith Kumar , Pragasam Agila Kumari , Aasaithampi Pratheepa , Mohan Venkata Raghava , Kang Gagandeep , John Jacob 
Published: July 2022

ABSTRACT.
We report an outbreak of typhoid fever between April and June 2019 in the Surveillance for Enteric Fever in India cohort, a pediatric cohort from four contiguous semi-urban settlements of Vellore in South India. This cohort of children 6 months to 15 years of age was under surveillance from October 2017 to December 2019. A clustering of typhoid cases in the cohort was noted with reference to time, place, and person. The overall typhoid attack rate in the cohort was 0.9%, with the highest attack rate of 1.7% being documented in one of the four areas. The rate of hospitalization and complications in children who were typhoid positive during the outbreak was 28% and 2%, respectively. Given the background of suboptimal water, sanitation, and hygiene, and the risk of typhoid fever outbreaks in these settings, it is imperative that a typhoid vaccine be considered for introduction as a pragmatic preventive approach.
Introduction of an Electronic Clinical Decision Support Tool to Inform Prescribing for Pediatric Diarrhea in Bangladesh and Mali: Do Provider Expectations Predict Experiences?
Authors: Keita Adama M. , Brintz Ben J. , Khan Ashraful I. , Taufiqul Islam Md. , Khan Zahid Hasan , Keita Youssouf , Hwang Jennifer , Nelson Eric J. , Qadri Firdausi , Sow Samba , Leung Daniel T. , Watt Melissa H. 
Published: July 2022

ABSTRACT.
Nonindicated antibiotics for childhood diarrhea is a major contributor to global antimicrobial resistance. Electronic clinical decision support tools (eCDSTs) may reduce unnecessary antibiotics. This study examined how providers’ expectations of an eCDST to predict diarrhea etiology compared with their experiences using the tool. Providers were enrolled from public hospitals in Bangladesh (n = 15) and Mali (n = 15), and surveys were completed at baseline and after using the eCDST. Baseline surveys assessed expectations (utility, ease of use, and threat to autonomy), and post surveys assessed experiences in the same domains. Providers’ experiences with ease of use exceeded their baseline expectations, and providers reported less experienced threat to autonomy after use, compared with baseline expectations. Providers’ expectations of threat to autonomy significantly predicted their experienced threat to autonomy. Findings suggest that an eCDST to inform antimicrobial prescribing for diarrhea is feasible and acceptable, but training should promote local ownership for sustainability.
Pengaruh Variasi Kuat Arus Pengelasan SMAW Terhadap Uji Tarik Sambungan Bahan ASTM A36
Authors: Nawiko Alexander , Rosehan  , M. Sobron Y. Lubis  
Published: July 2022

Pengelasan Dalam industri manufaktur yang banyak menyangkut penggunaan baja dan logam, secara khusus dalam bidang pembangunan dengan memanfaatkan proses pengelasan maka akan sangant dibutuhkan berbagai penelitian dengan tujuan agar mendapatkan sambungan las yang memiliki mutu tinggi. Penelitian ini bertujuan untuk mengetahui dan melihat hasil dari kekuatan sambungan pengelasan pada material ASTM A36 dengan cara memberikan beberapa variasi kuat arus 80 A, 100 A dan 120 A dengan menggunakan metode pengujian yaitu pengujian tensile test. Berdasarkan hasil pengujian tarik yang telah dilakukan dengan menggunakan pengelasan SMAW memiliki kekuatan teganagan tarik yang baik pada kuat arus 120 A dengan nilai tegangan tarik sebesar 472,33 Pa. kekuatan sambungan las juga akan sangat dipengaruhi oleh waktu pengelasan dan panas yang diterima oleh benda atau bahan uji
Pengaruh Metode RME (Realistic Mathematic Education) Berbasis Scientific Approach Terhadap Aktifitas Dan Hasil Belajar Matematika Materi Bangun Ruang
Authors: Endang Mulyaningsih Sri 
Published: July 2022

Penelitian Tindakan Kelas ini dilatar belakangi oleh pembelajaran yang dilaksanakan di SD Negeri 1 Mojo, bahwa teknik pembelajaran yang digunakan masih kurang menarik siswa, sehingga prestasi belajar siswa untuk belajar relatif rendah. Mengingat hal tersebut, sebaiknya penyampaian pelajaran dengan metode pembelajaran yang menarik sangat diharapkan, karena aktivitas belajar pada anak tergantung pada cara guru dalam menyampaikan pelajaran. Oleh karena itu peneliti menggunakan Metode RME (Realistic Mathematic Education) Berbasis Scientific Approach dalam meningkatkan hasil belajar Matematika materi bangun ruang. Pembelajaran menggunakan metode Metode RME (Realistic Mathematic Education) Berbasis Scientific Approach ini diharapkan dapat meningkatkan aktifitas dan hasil belajar siswa. Rumusan masalah dalam penulisan PTK ini adalah Bagaimanakah cara meningkatkan rendahnya keaktifan siswa khususnya mata pelajaran matematika materi bangun ruang. Adapun yang menjadi tujuan penelitian ini adalah Secara umum tujuan penelitian ini adalah untuk mendiskripsikan proses pembelajaran bangun ruang dengan menggunakan Metode RME (Realistic Mathematic Education) Berbasis Scientific Approach. Penelitian ini menggunakan penelitian tindakan kelas (PTK). Dalam PTK tahap penelitian terdiri atas empat tahap, yaitu perencanaan, pelaksanaan tindakan, observasi dan refleksi. Dalam penelitian ini menggunakan dua siklus. Teknik pengumpulan data dalam penelitian ini menggunakan observasi, catatan lapangan, wawancara, tes, dan dokumentasi. Observasi digunakan untuk mengamati siswa terhadap pembelajaran dengan menggunakan Metode RME (Realistic Mathematic Education) Berbasis Scientific Approach. Hasil Penelitian menunjukkan bahwa penerapan Metode RME (Realistic Mathematic Education) Berbasis Scientific Approach dapat meningkatkan keaktifan dan hasil belajar Matematika. Hal ini ditunjukkan dengan rata-rata hasil tes awal 54.4 pada siklus I menjadi 65.0 dan pada siklus II naik menjadi 75
Analisis Pengaruh Load Sharing Pada Generator Menggunakan Metode Speed Drop Di Pltu Suralaya
Authors: Haditya Rendi , Syahputra Ramadhoni , Nazilah Chamin Anna Nur , Yulianto Pratama Aziz , Yanuar Rizky Wahyu 
Published: July 2022

Sumber listrik pada sistem kelistrikan dapat menyebabkan suatu sistem bergerak diluar batas stabil, sehingga dibutuhkannya stabilitas sistem kelistrikan , oleh karena itu Pada Penelitian ini diperlukan untuk mendapatkan load sharing yang dioperasikan paralel tunggal pada generator yang optimal dan tidak melebihi suatu kapasitas daya listrik pada unit tersebut. Metode penelitian ini menggunakan speed droop dan ishocronous bertujuan mengetahui batasan normal pada frekuensi beban daya aktif dengan nilai 50 Hz + 0,5 Hz. Untuk mengetahui batasan maksimum terhadap kapasitas daya generator yang beroperasi paralel dengan sistem otomatis, kemudian dilakukan penelitian dan pengambilan data dilakukan pada PLTU Suralaya selama 15 hari. Penelitian ini dengan waktu yang sama pada pembeban daya aktif generator pada unit 1-4 mendapatkan nilai minimal dan maksimum dengan nilai minimal pada daya aktif 186,7678 MW dengan frekuensi 50,4756 Hz dan nilai maksimal daya aktif 400 MW dengan frekuensi 49,923 Hz
Peningkatan Kemampuan Guru Dalam Menyusun RPP Satu Lembar Melalui Metode Through Small Group
Authors: Retna Winarti Titin 
Published: July 2022

Menjalani profesi sebagai pendidik, tentunya sangat diharuskan dalam setiap kegiatan proses belajar mengajar seorang pendidik memiliki sebuah pedoman yang dinamakan Rencana pelaksanaan Pembelajaran (RPP). Memang setiap metode pembelajaran bisa diciptakan sekreatif mungkin oleh pendidik, namun dengan adanya RPP, kreatifitas tersebut bisa diharmonisasikan dengan panduan metode pembelajaran yang terdapat dalam RPP, sehingga kegiatan pengajaran dapat dilaksanakan dengan baik demi efektivitas tujuan pembelajaran. Permasalahan yang dikaji dalam penelitian ini bagaimana pelaksanaan bimbingan melalui metode Through Small Group dalam rangka meningkatkan keaktifan dan kemampuan guru dalam menyusun rencana pelaksanaan pembelajaran (RPP) satu lembar di SD Negeri 1 Sangge Kecamatan Klego, selanjutnya membahas apakah melalui metode Through Small mampu meningkatkan keaktifan dan kemampuan guru dalam menyusun rencana pelaksanaan pembelajaran (RPP) satu lembar di SD Negeri 1 Sangge Kecamatan Klego Kabupaten Boyolali. Penelitian ini adalah Penelitian Tindakan Sekolah (PTS). Subjek penelitian adalah guru SD Negeri 1 Sangge Kecamatan Klego yang berjumlah 8 orang. Teknik pengumpulan data yaitu: koesioner, observasi, penugasan, dan dokumentasi. Validitas data menggunakan trianggulasi sumber dan metode. Analisis data menggunakan analisis model interaktif dan statistik deskriptif. Hasil penelitian menyimpulkan: (1) Melalui metode Through Small Group mampu meningkatkan partisipasi secara aktif peserta diskusi (guru) untuk saling bertukar pangalaman dan pikiran dalam memecahkan permasalahan yang berkaitan dengan penyusunan RPP satu lembar; (2) Melalui metode Through Small Group mampu menciptakan suasana pelatihan atau bimbingan yang menyenangkan dan kondusif untuk melakukan transfer ilmu, karena masing-masing peserta diskusi (guru) dapat saling memberi dan menerima pemahaman yang dibahas; (3) Melalui metode Through Small Group efektif untuk meningkatkan kemampuan peserta diskusi (guru) dalam menyusun rencana pelaksanaan pembelajaran (RPP) satu lembar
Konsep Amthāl dalam al-Qur’an
Authors: Balqis Putri 
Published: July 2022

Amthāl (perumpamaan) merupakan salah satu cara Alquran untuk menyampaikan pesan dalam sebuah ungkapan yang indah. Amthāl juga salah satu bentuk kemukjizatan Alquran yang sruktur bahasanya menakjubkan. Ayat-ayat amthāl Alquran mampu menyampaikan suatu makna abstrak kepada fenomena yang konkret melalui penggunaan bahasa yang berupa kiasan. Allah memberikan berbagai macam perumapamaan dalam Alquran, di antaranya yaitu perumpamaan tentang cahaya, air, debu, tanah, surga, neraka dan lain-lainya. Salah satu fungsi amthāl yaitu untuk mengambil ‘ibrah, i’tibar dan hikmah. Untuk memahami ayat-ayat Amthāl dibutuhkan ilmu bayān, ma’āni dan badī’.
MEMAHAMI KEMUKJIZATAN AL-QUR’AN
Authors: Rasyid Muhammad Dirman , Reskiani Anugrah 
Published: July 2022

This study aims to describe the miracles of the Qur'an in terms of ontology, epistemology and axiology. This research is a library research, by collecting related literature from both classical and contemporary sources then presented in a qualitative descriptive manner, then analyzed (content analysis) to arrive at a conclusion. Miracles of the Qur'an is a term that emerged as a response to the inability of humans to match the beauty of language and the message it contains. The Sunni scholars believe that the miracle of the Qur'an comes from itself, while the muktazilah scholars argue that the inability of humans to compete with the Qur'an is due to the existence of al-sarfah (transfer/revocation) ability by Allah swt. to match the Qur'an. As for the degree of miraculousness of the Qur'an, the most common opinion states that it relates to a complete chapter in the Qur'an although it is short. Miracles of the Qur'an include several aspects, namely; al-i‘ja>z al-baya>ni>, al-i‘ja>z al-‘ilmi>, al-i‘ja>z al-Tasyri>‘i>, dan al-i‘ja>z al-gaibi.The miraculous function of the Qur'an is as tangible evidence of the authenticity of the Qur'an which is the word of Allah swt. which occurs in every place and time.
Contenido de carbono orgánico en suelos del Área Natural Protegida “Sierra de Otontepec”
Authors: Cancela de los Santos Gabriela Monserrat , Chagoya-Fuentes Jorge Luis , Rodríguez Cabrera Rocío , Alanís-Méndez José Luis 
Published: July 2022

En el Área Natural Protegida (ANP) “Sierra de Otontepec” existen diversos ecosistemas y usos de suelo, tales como Bosque Mesófilo (BM), Pasturas Naturales (PN), Milpa Tradicional (MT) y Huerto Citrícola (HC), los cuales ofertan diversos servicios ambientales (SA), entre ellos fijación de Carbono (C) en el suelo. Desafortunadamente, no se cuenta con información básica de la cantidad de Carbono Orgánico (CO) que existe en ellos. Para lograr el objetivo, se muestrearon cuatro usos de suelos BM, PN, MT y HC, con cuatro repeticiones cada uno y a cinco profundidades (0-10, 10-20, 20-40, 40-60 y 60-100 cm, respectivamente). En ellos, se determinó el porcentaje (%) de CO mediante el método de Walkley y Black y la Densidad Aparente (DA) (gr cm3) por el

método de la probeta. Para el análisis estadístico se utilizó el Software Statistica© V.10.0. Los resultados indican que, BM registró los mayores porcentajes de CO y presentó diferencia estadística significativa (P<0.05) en diferentes profundidades en comparación con los otros usos de suelo. Para la DA, el HC presentó la mayor DA (gr cm3) en contraste con los demás usos del suelo. En cuanto al contenido de CO (Mg Ha1) en la totalidad del perfil analizado (0-100 cm), BM presentó diferencia estadística significativa (P<0.05) con respecto a los demás usos del suelo. Finalmente, se concluye que los suelos donde existe BM tienen una mayor cantidad de CO, lo cual puede incentivar la creación de un esquema local de pago de SA.
Machine Learning-Based Intrusion Detection System: An Experimental Comparison
Authors: Hidayat Imran , Ali Muhammad Zulfiqar , Arshad Arshad 
Published: July 2022

Recently, networks are moving toward automation and getting more and more intelligent. With the advent of big data and cloud computing technologies, lots and lots of data are being produced on the internet. Every day, petabytes of data are produced from websites, social media sites, or the internet. As more and more data are produced, a continuous threat of network attacks is also growing. An intrusion detection system (IDS) is used to detect such types of attacks in the network. IDS inspects packet headers and data and decides whether the traffic is anomalous or normal based on the contents of the packet. In this research, ML techniques are being used for intrusion detection purposes. Feature selection is also used for efficient and optimal feature selection. The research proposes a hybrid feature selection technique composed of the Pearson correlation coefficient and random forest model. For the machine learning (ML) model, decision tree, AdaBoost, and K-nearest neighbor are trained and tested on the TON_IoT dataset. The dataset is new and contains new and recent attack types and features. For deep learning (DL), multilayer perceptron (MLP) and long short-term memory are trained and tested. Evaluation is done on the basis of accuracy, precision, and recall. It is concluded from the results that the decision tree for ML and MLP for DL provides optimal accuracy with fewer false-positive and false-negative rates. It is also concluded from the results that the ML techniques are effective for detecting intrusion in the networks.

Received: 8 June 2022 | Revised: 6 July 2022 | Accepted: 11 July 2022

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
Machine learning-based prediction of dual primary breast cancer
Authors: Wang Tingting , Fan Qi 
Published: July 2022

IntroductionPredicting dual primary tumors in patients diagnosed with first-episode breast cancer (BC) is crucial. This can assist physicians’ evaluation of treatment decisions. We applied eight machine learning algorithms to the BC data from the Surveillance, Epidemiology, and End Results program (SEER) database and evaluated the best model for predicting dual primary BC to help physicians assess patient prognoses.Material and methodsMachine learning models were established based on the retrospective study of 253,991 patients diagnosed with first-episode BC in the SEER database from 2010 to 2015. External validation was conducted on 6012 cases obtained through undersampling from the SEER database from 2004 to 2009. The decision tree (DT) and random forest (RF) models were employed using ten-fold cross-validation and grid search.ResultsSurgical information, lymph-node status, distant metastasis, tumor size, survival time, and histological type had significant influence as inputs. Compared with those of the other seven models (multinomial naïve bayes, logistic regression, k-nearest neighbor, one-dimensional convolutional neural network, recurrent neural network, long short-term memory, and DT), the accuracy of the RF model increased from 63.25 to 97.19%, whereas its precision, recall, F1 score, and area under the curve (AUC) increased from 62.92 to 95.01%, 64.36 to 99.48%, 63.63 to 97.19%, and 63.25 to 97.10%, respectively. RF was the only model where the AUC increased (0.24%) under external verification, which shows its excellent portability and generalization in the validation cohort.ConclusionsThe RF model can be used to predict dual primary BC and assist physicians with the diagnosis and treatment of first-episode BC patients.
Mean platelet volume to lymphocyte ratio and platelet distribution width to lymphocyte ratio in Iraqi patients diagnosed with systemic lupus erythematosus
Authors: Awadh Nabaa , Gorial Faiq , Hammadi Reem , Ibrahim Mariam , Majeed Saba , Mohammed Maab 
Published: July 2022

IntroductionThe mean platelet volume to lymphocyte ratio (MPVLR) and platelet distribution width to lymphocyte ratio (PDWLR) have the potential to serve as markers of inflammation which may indicate disease activity. The mean platelet volume to lymphocyte ratio and PDWLR were assessed in patients with systemic lupus erythematosus (SLE) in this study.Material and methodsSixty-two patients with systemic lupus erythematosus and 79 controls who were age and gender matched were included. Their sociodemographic information, as well as disease activity scores based on the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), disease duration, current medications, lymphocytes, platelets, platelet distribution width (PDW), and mean platelet volume (MPV), anti-nuclear antibody (ANA), anti-double stranded deoxyribonucleic acid (anti-dsDNA), and complement components (C3, C4) were recorded. The correlations of MPVLR and PDWLR with disease activity and some laboratory parameters were analyzed.ResultsLupus patients had significantly higher median (interquartile range) values for MPVLR and PDWLR than controls (5.69 [1.16–23.67] vs. 4.40 [2.78–11.93], p = 0.009) and 10.51 (2.87–79.37) vs. 5.21 (2.88–14.66), p < 0.001] respectively. According to the ROC curve, > 7.53 was the best PDWLR cut-off value for predicting SLE with a sensitivity of 71%, a specificity of 87% and an accuracy of 82.6%, whereas the optimum MPVLR cut-off value was > 6.46 with a sensitivity of 45.2%, a specificity of 88.9% and an accuracy of 76.8%. In addition, MPVLR had a significant positive correlation with SLEDAI (r = 0.34, p = 0.008). However, there was no significant correlation between PDWLR and SLEDAI (r = 0.23, p = 0.067). Furthermore, PDWLR had a significant positive correlation with PDW (r = 0.482, p < 0.001), while MPVLR had a significant negative correlation with C3 level (r = –0.260, p = 0.042). Both PDWLR and MPVLR were positively correlated with nephritis (r = 0.388, p = 0.002; r = 0.246, p = 0.038, respectively).ConclusionsThe platelet distribution width to lymphocyte ratio can be considered as an assisting biomarker in the diagnosis of SLE with the other clinical and serological parameters. The mean platelet volume to lymphocyte ratio may be used in the evaluation of disease activity in SLE patients.