bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physicians’ Perception About Use of Vitamin B12 in the Treatment or Prevention of Diabetic Neuropathy: A Cross-sectional Survey in Saudi Arabia
Authors: Aldossari Khaled K. , Al-Ghamdi Sameer , Alzahrani Jamaan , Al Turki Maram S. , Almuhareb Mai , Alanazi Ziad G. , Alshahrani Ziyad M. , Wong Jencia 
Published: February 2021

Background:Diabetic neuropathy is a condition that is prevalent among type 2 diabetic patients. Some physicians prescribe vitamin B12 or vitamin B complex supplements to improve symptoms, but studies have shown that there is little to no evidence of vitamin B12 being an effective treatment for diabetic neuropathy. Thus, this study aims to investigate local physicians’ knowledge and tendency to prescribe vitamin B12 or vitamin B complex for the treatment or prevention of diabetic peripheral neuropathy.Methods:It was a cross-sectional study, conducted between May and November of 2019, in several primary healthcare centers in different cities of Saudi Arabia. A total of 412 physicians with a minimum of three years of experience answered a three-part questionnaire on their demographic information, their prescribing behavior, and their knowledge of the relationship between vitamin B12 or vitamin B complex and diabetic neuropathy.Results:The study found that only 42% of the physicians believed that vitamin B12 supplementation did not prevent diabetic neuropathy, while only 52.7% found it to be an ineffective treatment for this condition. Moreover, 58.7% stated that they had indeed prescribed vitamin B12 or multivitamins as a form of treatment or prevention of diabetic neuropathy. 47.8% of the patients requested a vitamin B12 prescription 1-6 times from their physicians, while 31.6% of them requested it ≥ 7 times, with 42.5% of physicians agreeing that their prescriptions of vitamin B12 had been a result of patient demand more than clinical justification. Likewise, 43% of respondents were aware that vitamin B12 levels should be tested annually. Furthermore, a higher proportion of consultants chose not to prescribe vitamin B12 to prevent or treat diabetic neuropathy than any other rank.Conclusion:The findings of this study indicate a tendency of unnecessarily prescribing vitamin B12 supplementation for the prevention or treatment of diabetic neuropathy as well as a lack of knowledge on the matter among doctors in primary care hospitals in Saudi Arabia. The study has also shown that it is patients who often request this prescription, adding pressure on their physicians to comply. Future studies should investigate hospitals in a greater number of Saudi cities and include less experienced residents and medical students.
Stress and Physical Inactivity: Two Explosive Ingredients for the Heart in
COVID-19 Pandemic Times
Authors: Ruberti Olívia Moraes , Telles Guilherme Defante , Rodrigues Bruno 
Published: February 2021

Background:
Coronavirus disease 2019 (Covid-19) pandemic is a global health crisis that has culminated in thousands of deaths. In order to reduce the spread of Sars-CoV-2 virus, governments of several countries have adopted social isolation as a strategy. However, social isolation has culminated in deleterious effects for the population’s health, including increased physical inactivity, stress and, consequently, adverse changes in body composition, cardiorespiratory capacity, muscle strength, physical functionality, and vascular events, which are increasingly pointed out as the main determinants of cardiovascular health. Staying physically active during lockdown is a challenge, especially for the population with a higher risk of mortality from COVID-19 who are still encouraged to maintain social distance until there is a vaccine available. Strategies to avoid physical inactivity, and reduce stress levels can promote cardiovascular protection, and must be considered during COVID-19 time.

Objectives:
The aim of this paper is to discuss the risks of physical inactivity and stress for the cardiovascular system during the COVID-19 pandemic and propose strategies to protect cardiovascular health.

Conclusion:
A home-based training protocol could be an interesting and effective strategy for the population who need to remain physically active and safe at home.
Prevalence and Related Factors of Sarcopenia in Community-dwelling Elderly with Long-term Care Insurance
Authors: Kitamura Masahiro , Izawa Kazuhiro P. , Ishihara Kodai , Matsuda Hiroaki , Okamura Soichiro , Fujioka Koji 
Published: February 2021

Background and Objective:
The purpose of this investigation was to examine the prevalence,
related factors, and cut-off value of body mass index for sarcopenia in community-dwelling
elderly covered by long-term care insurance.

Methods:
Design was a cross-sectional study, in which113 consecutive community-dwelling elderly
with long-term care insurance who underwent rehabilitation at a daycare center in Japan from
January 2016 to January 2018, those who were aged ≥65 years old and could walk were included.
Those in whom skeletal muscle mass index could not be measured were excluded. The determination
of sarcopenia was made according to the criteria of the Asian Working Group for Sarcopenia.
We analyzed the data with the unpaired t-test, χ2 test, logistic regression analysis, and receiver operating
characteristic curves.

Results:
The 99 elderly meeting the criteria were included and divided into the sarcopenia group
(n=36) and no sarcopenia group (n=63). The prevalence was 36.4%. The sarcopenia group was significantly
older and had lower body mass index, skeletal muscle mass index, and grip strength than
the group without sarcopenia (p <0.05). Age and body mass index were extracted as significant sarcopenia-
related factors (p <0.05). The cut-off value of body mass index for sarcopenia was 22.6
kg/m2.

Conclusion:
The prevalence of sarcopenia in the elderly in the long-term care insurance region
was 36.4%, and age and body mass index were extracted as sarcopenia-related factors. The cut-off
value of body mass index for sarcopenia was 22.6 kg/m2.
Antiproliferative and Pro-Apoptotic Effects of Thiazolo[3,2–b][1,2,4]triazoles in Breast and Cervical Cancer Cells
Authors: Khan Imtiaz , Zaib Sumera , Javed Mohsin , Rashid Faisal , Iqbal Jamshed , Ibrar Aliya 
Published: February 2021

Background and Objectives:
Cancer is one of the leading causes of death in the world affecting millions
of people. The commercially available anticancer drugs lack the selectivity and show several undue side
effects during the biologically targeted therapy, thus calling for the exploration of wider chemical space to furnish
new structural leads with promising anticancer potential. In this endeavor, we synthesized a series of coumarinyl
thiazolotriazoles with diverse functional group tolerance and will be tested for their anticancer properties
against cancer cell lines (HeLa and MCF-7) and a normal cell line (BHK-21).

Materials and Methods:
To overcome such complications, in the current study, we evaluated the cytotoxic effects
of coumarinyl thiazolotriazole hybrids on human breast adenocarcinoma (MCF-7), cervical adenocarcinoma
(HeLa) cells and normal cells i.e., Baby Hamster Kidney cells (BHK-21) using MTT (dimethyl-2-thiazolyl-
2,5-diphenyl-2H-tetrazolium bromide) assay. DNA binding studies of compound 6c was performed on Herring-
Sperm DNA (HS-DNA) and docking studies were also carried out. The mechanistic studies were performed
on potent compounds by fluorescent microscopic studies, release of Lactate Dehydrogenase (LDH) and
mitochondrial membrane potential, activation of caspase-9 and -3 and flow cytometric analysis.

Results:
As revealed by MTT assay, compounds 6m and 6c were identified as the most potent derivatives
among the tested series with IC50 values of 5.64 and 29.1 μM against HeLa and MCF cells, respectively as compared
to cisplatin which gave IC50 values of 11.3 and 6.20 μM, respectively. DNA binding studies of compound
6c showed the binding of compound in DNA with Gibbs free energy of ‒17 KJ/mol and docking studies validated
the DNA binding studies. Fluorescent microscopic studies using 4′,6-diamidino-2-phenylindole (DAPI) and
Propidium Iodide (PI) staining confirmed the occurrence of apoptosis in HeLa cells treated with the most active
compound 6m. Moreover, compounds 6m and 6c also triggered the release of Lactate Dehydrogenase (LDH) in
treated HeLa and MCF-7 cells while a luminescence assay displayed a remarkable increase in the activity of
caspase-9 and -3. Moreover, flow cytometric results revealed that compound 6m caused G0 /G1 arrest in the
treated HeLa cells.

Conclusion:
Our results suggested that the compound possesses chemotherapeutic properties against breast cancer
and cervical adenocarcinoma cells, thus warranting further research to test the anticancer efficacy of this
compound at clinical level.
Identification of Phytoconstituents of Tragia Involucrata leaf Extracts and Evaluate their Correlation with Anti-inflammatory & Antioxidant Properties
Authors: Velu Vinodhini , Banerjee Swagata , Radhakrishnan Vidya , Gupta Gaurav , Chellappan Dinesh Kumar , Fuloria Neeraj Kumar , Fuloria Shivkanya , Mehta Meenu , Dua Kamal , Malipeddi Himaja 
Published: February 2021

Aims:
The present investigation was aimed at exploring the phytoconstituents using Gas
Chromatography Mass Spectroscopy and to evaluate antioxidant and anti-inflammatory properties
of the leaf extracts.

Materials and Methods:
The extracts were obtained sequentially with petroleum ether, ethyl acetate
and water using Soxhlet apparatus. The anti-inflammatory property of the identified compounds
using GC- MS spectroscopy was evaluated in silico. The antioxidant activity was performed
by DPPH and H2O2 method whereas anti-inflammatory study was carried out by HRBC
membrane stabilization method. Terpenoids were found to be a major constituents in petroleum
ether extract while, phenols and flavonoids were predominantly found in ethyl acetate extract.

Results and Discussion:
The GC-MS analysis of the extract revealed six major molecules including
Squalene, 19β, 28-epoxyleanan-3-ol and 2-tu-Butyl-5-chloromethyl-3-methyl-4-oxoimidazolidine-
1-carboxylic acid. The ethyl acetate extract showed a significant antioxidant activity
(P<0.01) in both DPPH method (70.87%) and H2O2 method (73.58%) at 200 μg mL-1. Increased
membrane stabilization of petroleum ether extract was observed in the in vitro anti-inflammatory
activity study. A strong relationship between the terpenoid content and anti-inflammatory activity
was obtained from the correlation (0.971) and docking study.

Conclusion:
These results justify T. involucrata to be a rich source of terpenoids with potent anti-
inflammatory property.
Pengembangan Sistem Lective Untuk Laporan Kurikulum Perguruan Tinggi (Studi Kasus : Universitas Muhammadiyah Malang)
Authors: Fitriani Febri Ayu , Marthasari Gita Indah , Wicaksono Galih Wasis 
Published: February 2021

AbstrakPengembangan sistem Lective selalu diupayakan untuk memajukan segala aspek dalam sistem pendidikan guna memudahkan proses belajar mengajar dan memberikan pelayanan. Salah satunya laporan hasil perumusan kurikulum untuk memudahkan proses identifikasi dan pengendalian oleh program studi. Laporan progres penyusunan RPS dan notifikasi dapat bermanfaat sebagai pemantauan dan mengevaluasi perkembangan atau progres penyusunan kurikulum yang dilakukan oleh masing-masing dosen pengampu mata kuliah, sehingga kinerja dosen maupun program studi lebih terkontrol. Pengembangan dilakukan dengan menggunakan analisa kualitatif dan mencari pengujian solusi menggunakan proses BPI (Business Process Improvement). Pengujian dilakukan menggunakan Black Box Testing dengan menyusun skenario uji serta menerapkan pengujian fungsionalitas setelah pengembangan sistem. Hasil yang didapatkan yaitu notifikasi pada dashboard dosen berupa tanggat tenggat waktu dan nilai persentase progress kumulatif penyusunan RPS, halaman progress persentase penyusunan masing-masing dosen pengampu, dan progress RPS seluruh dosen. Dari pengujian yang dilakukan, pengembangan sistem dikatakan tidak menggangu fungsionalitas sistem sebelumnya, namun dalam pencocokan nilai persentasi yang didapat sistem membutuhkan penggalian lebih dalam untuk sesuai dengan penilaian pakar. Kata kunci: progres rps, persentase, notifikasi, pengembangan sistem Abstract The development of Lective sytem always continuously advanced to make it better in every aspects of the educational system in order to simplify the teaching and learning process and services. One of them was the presentation of curriculum arrangement to easier the identification process and control by departement of study. Preparation progress of subject teaching plan and notification can be used as control and evaluation the curriculum progress that made by the lecturers, so that the lecturers and departments performanced became more controlled. The development was based on qualitative analysis and given solution by Business Process Improvements. The system tested was done by Black Box Method by compiled the testing scenario that researcher made and applied the functional testing after the development system applied at the old one. The result was notification page that implemented at dashboard system inculuded due date and persentage of subject teaching plan commulative progress, persentage of subject teaching plan progress that was done by lecturers, and persentage of all subjects. The testing result that done by the scenario before declare that system was normal after the development system applied, but the persentage value of system was unmatched due to lack of condition that developer implemented in system to match the expert judgement. Keywords: persentage of subject teaching plan, ,persentage, notification, system development
Steganografi Dalam File Citra Menggunakan Fungsi Hash dan Metode MLSB
Authors: Yuniarto Alfian , Cahyono Eko Budi , Minarno Agus Eko 
Published: February 2021

Semakin berkembangnya jaringan internet dapat mempermudah proses pertukaran informasi. Ketika suatu informasi bersifat rahasia ditransmisikan lewat jaringan komputer/internet, maka diperlukan jaminan bahwa informasi tersebut hanya dapat diakses oleh pihak yang berkepentingan. Pernaslahan tersebut dapat di selesaikan dengan salah satu cara yaitu penyembunyian pesan dalam pengiriman adalah merubah data menjadi yang tidak dimengerti dengan cara di sisipkan ke dalam pixel yang dinamakan teknik steganografi. Pada Teknik steganografi ini salah satu metode yang dapat di gunakan adalah metode Modified Least Significant Bit (MLSB). MLSB merupakan pengembangan dari metode LSB yaitu dengan memodifikasi data dengan cara merubah dari 8 bit menjadi 5 bit. Selain metode MLSB tersebut kita juga dapat menggunakan fungsi hash MD5 sebagai tambahan pengamanan. Dengan menggunakan fungsi hash MD5 serta dengan menggunakan metode MLSB (modified least significat bit) ini kualitas dari file citra yang di hasilkan menunjukkan nilai baik karena dari rata - rata nilai dari gambar sampel dengan nilai MSE 0.0037 serta PSNR di atas 60db.
Seleksi Fitur Relieff Pada Klasifikasi Malware Android Menggunakan Support Vector Machine(SVM)
Authors: Fitriani Irma , Basuki Setio , Minarno Agus Eko 
Published: February 2021

Seiring berkembangnya jaman perkembangan malware android terus mengalami peningkatan setiap tahunnya.Machine Learning adalah salah satu teknik yang bisa kita gunakan dalam melakukan analisa malware android dengan 2 model pendekatan statis dan dinamis.Penulis menggunakan Support Vector Machine(SVM) untuk proses klasifikasiannya dan menggunakan kernel RBF. Fitur yang digunakan dalam penelitian ini adalah Permission dan Broadcast Receiver. Untuk menambah hasil akurasinya digunakan metode Seleksi Fitur Relieff. Dan Seleksi Fitur pembandingnya adalah Chi-Square(CHI),Correlation-based Feature Selection(CFS), dan Gain Ratio(GR). Hasil dari Seleksi Fitur Relieff akan di evaluasi dengan Seleksi Fitur pembandingnya serta juga dengan hasil klasifikasi tanpa menggunakan Seleksi Fitur. Akurasi klasifikasi Seleksi Fitur Relieff menghasilkan 33.33333%, hasil akurasi Seleksi Fitur pembanding lainnya juga memberikan hasil sama dengan Seleksi Fitur Relieff. Sedangkan hasil klasifikasi tanpa Seleksi Fitur memberikan hasil yang cukup tinggi yaitu 95%. Hasil pengujian menunjukkan bahwa Seleksi Fitur tidak cocok digunakan dengan data yang sedikit karna memberikan hasil yang jauh lebih rendah dari tanpa menggunakan Seleksi Fitur.
Implementasi Metode Feature-Oriented Software Development (FOSD) Dalam Mengembangkan Learning Management System (LMS)
Authors: Rahim Ahmad Salam , Maskur Maskur , Wicaksono Galih Wasis 
Published: February 2021

Learning management system (LMS) merupakan sebuah media yang dibuat khusus untuk mempermudah proses belajar mengajar, pertukaran informasi dan mengumpulkan tugas secara online berbasis web. Di Indonesia, khususnya perguruan tinggi memiliki standar nasional pendidikan tinggi (SN Dikti) yang dibuat oleh kementerian riset, teknologi dan pendidikan tinggi no.44 tahun 2015 untuk mengatur sistem pembelajaran. Maka dari itu, perlu adanya penelitian yang dapat menyesuaikan fitur LMS dengan SN Dikti tersebut. Salah satu LMS yang paling banyak digunakan di Indonesia adalah moodle, yaitu platform LMS yang open source dan dapat dikembangkan sendiri. Penelitian ini memanfaatkan moodle untuk mencari fitur yang dapat digunakan dalam proses pembelajaran dan kemudian disesuaikan dengan standar proses pembelajaran pada SN Dikti. Hasil seleksi fitur akan diimplementasikan kedalam sistem moodle menggunakan metode pengembangan sistem yaitu feature-oriented software development (FOSD), FOSD memiliki empat tahapan pengembangan yaitu analisis domain, dimana fitur akan diseleksi untuk mendapatkan fitur yang sesuai. Hasilnya didapatkan 12 fitur pada moodle dan akan diimplementasikan. Tahapan selanjutnya desain domain dan spesifikasi dengan membuat model fitur, use case dan activity diagram. Tahap implementasi menggunakan moodle versi 3.5+ agar menjadi LMS yang dapat dikonfigurasi. Setelah itu tahapan konfigurasi produk dan generasi yaitu tahap pengujian 12 fitur dengan menggunakan metode blackbox.
Deteksi Botnet Pada Passive DNS Dengan Menggunakan Metode K Nearest Neighbor
Authors: Putri Vinna Utami , Cahyono Eko Budi , Azhar Yufis 
Published: February 2021

Teknologi internet di masa kini berkembang dengan pesat berbanding lurus dengan penggunanya yang juga semakin banyak. Salah satu kejahatan software yang berbahaya adalah robot network (Botnet). Botnet adalah sebuah zombie dalam jaringan dari jutaan perangkat yang tersambung ke internet, yang mana bot diinfeksi dengan malware yang khusus agar bisa dikendalikan oleh cybercriminal dari jarak jauh untuk memberikan serangan seperti mengirim email, mencuri informasi pribadi, dan meluncurkan serangan DDoS. Pada penelitian ini penulis mengelompokan dan mengklasifikasikan dataset yang botnets dan normal pada passive DNS yang terdapat pada dataset CTU-13 dengan metode k Nearest Neighbor dan juga pengujian dengan mengunakan confusion matrix dengan nilai precision, recall dan accuracy dari k-nearest neighbor dari standart bahasa pemograman python dengan library sciketlearn disetiap kelas prediksi dan hasil yang dicapai cukup tinggi dengan nilai dari uniform dengan nilai 76% untuk precission 86% dan recal-nya 93,9% untuk accuracy. Uniform ternormalisasi dengan nilai 76% untuk precission 88% dan recal-nya 83% untuk accuracy. Hasil Distance didapatkan nilai 100% untuk precission 85% dan recal-nya 92% untuk accuracy. Hasil Distance ternormalisasi 100% untuk precission 87% dan recal-nya 93% untuk accuracy.
Rancang Bangun Sistem Simulasi Evaluasi Borang Berdasarkan Pedoman BAN-PT Pada Standar 3,5 dan 6 Di Jurusan Teknik Informatika UMM
Authors: Laily Anisah Rahmatul , Munarko Yuda , Maskur Maskur 
Published: February 2021

Seiring perkembangan teknologi dan pesatnya persaingan antar kampus negeri maupun swasta untuk meningkatkan mutu akreditasi, maka dibuatlah perancangan sistem simulasi akreditasi yang dapat memberikan keputusan untuk mempermudah prodi mengambil keputusan. Dimana prodi dapat melakukan simulasi untuk mendapatkan nilai akreditasi yang diinginkan. Penilaian akreditasi berdasarkan buku pedoman Badan Akreditasi Nasional Perguruan Tinggi (BAN-PT). Pada perancangan dan implementasi perangkat lunak ini menghasilkan sebuah sistem simulasi akreditasi yang berbasis website Sehingga prodi dengan mudah menentukan keputusan. Pengembangan yang digunakan Software Development Life Cycle (SDLC) dan model pengembangan sistem simulasi akreditasi ini adalah waterfall. Sistem simulasi akreditasi yang dibangun telah melalui proses pengujian blackbox berdasarkan kebutuhan dan pengujian keseuaian menurut pakar. Hasil pengujian blackbox menunjukkan bahwa pengisian data pada setiap form berhasil dilakukan dengan sukses dan secara fungsional sistem tersebut dapat menghasilkan output yang diharapkan. Hasil pengujian kesesuaian pakar menunjukkan bahwa dari 5 pertanyaan terdapat 4 yang setuju dan 1 tidak setuju.
Rekomendasi Grup Pada Website Alumni Teknik Informatika Universitas Muhammadiyah Malang
Authors: Saputra Hermansyah Adi , Wicaksono Galih Wasis , Azhar Yufis 
Published: February 2021

Belakangan ini hampir seluruh universitas yang ada di indonesia memiliki sistem informasi alumninya sendiri-sendiri. Sistem informasi alumni mampu memberikan informasi tentang kondisi alumninya setelah menyelesaikan masa perkuliahannya. Alumni merupakan aktor yang berperan penting dalam pendidikan. Saat ini jurusan Informatika Fakultas Teknik Universitas Muhammadiyah Malang telah memiliki website alumni. Permasalahannya belum adanya sistem yang memberikan alumni rekomendasi grup pada sistem, sehingga para alumni mampu saling bertukar informasi didalamnya. Dengan adanya data alumni dan juga di dukung dengan adanya tracer study, dapat di bentuk suatu rekomendasi grup dari data tracer study. K-medoid adalah metode pengelompokan data ke dalam sejumlah cluster tanpa adanya struktur hirarki antara satu dengan yang lainnya. Algoritma k-medoid memiliki nilai coefficient yang lebih tinggi di bandingkan dengan k-means dalam penelitian ini. Yang mana k-medoid mendapatkan nilai rata-rata Silhouette Score 0.7325888099 dalam pengujian dengan jumlah cluster 5 dan perulangan sebanyak 10 kali. Jika dibandingkan dengan k-means yang hanya memiliki nilai rata-rata Silhouette Score 0.6872873866.