bluuebunny/crossref_metadata_2025 huggingface dataset:
Thesis Writing Challenges Facing Palestinian EFL Master’s Students: A Qualitative Case Study
Authors: Alyan Abedrabu A. Abu
Published: August 2022

This study probed challenges of writing thesis among Palestinian English as a foreign language (EFL) master’s students (MA). A qualitative case study was employed, and the data were collected through in-depth semi-structured interviews. The participants were eighteen MA students and ten supervisors from the department of English at the Islamic University of Gaza. The main findings identified in the study included, among others, selecting an appropriate research topic, limited research and methodology training, linguistic and academic writing inadequacies, insufficient feedback from supervisors and course instructors, and limited resources and online digital materials. To minimize these challenges and empower MA students, the study offered some recommendations and suggestions for further future studies.
Sources of Information and Attitude of Women Toward Family Planning in Selected Rural Areas in Boki Local Government, Cross River State
Authors: Tuku Paulina Mbua , Ofem Ubi Arikpo
Published: August 2022

Family planning is one of the most successful development interventions of the past 50 years. It is unique in its range of potential benefits, encompassing economic development, maternal and child health, and educational advances among others. The evidence is clear: Family planning improves health, reduces poverty, and empowers women. Yet, today, more than 200 million women in the developing world want to avoid pregnancy but do not have the right sources of information on family planning. This made them face many obstacles, including a lack of access to information and health care services. A descriptive survey design was adopted in this study and no variable was manipulated. Rural women of childbearing age were used in this study, stratified sampling technique was used to select 200 respondents from 12 wards in Boki LGA of cross river state. Two valid and reliable instruments were used for data collection. Data were analyzed using descriptive statistics and the Pearson moment product. The result reveals that women between the age of 31 and above are involved in family planning, the level of their education is at SSCE with a percent of (42%), rural women’s attitude has a positive relationship with Family planning (N=200, r = .915**, p<.005). It is recommended that childbearing age women in rural communities should be given enough information on family planning as well as its importance in society.
Metodologías Activas de Aprendizaje y la Ética Educativa
Authors: Villalobos-López José Antonio
Published: August 2022

El rol de las metodologías activas de aprendizaje se centra en fomentar la participación integral y dinámica del estudiante en su propio proceso educativo, en lugar de ser solo receptor de conocimientos. El objetivo de este ensayo es destacar el rol fundamental que presentan las metodologías activas de aprendizaje, donde el proceso educativo se centra en fomentar la participación integral y dinámica del estudiante, en lugar de que solo sea receptor de conocimientos. Este ensayo se estableció bajo el método deductivo, en el paradigma hermenéutico, con enfoque cualitativo, de tipo interpretativo y diseño narrativo de tópico. Asimismo, se desdobla los dos problemas éticos principales que se presentan en la academia y en la investigación son: el plagio y el conflicto de intereses en la revisión por pares, donde dicha problemática se agrava cuando se trata de contrataciones o se concedan ascensos, en virtud de que en numerosas ocasiones los contratos o estímulos se obtienen por el número de publicación de artículos o en base a las citas logradas por los autores en revistas arbitradas e indexadas con alto factor de impacto, pudiéndose presentar el caso de favorecer a compañeros de institución o amigos en la revisión por pares. Sin olvidar que el Sistema Nacional de Investigadores (SNI) otorga a sus miembros estímulos extras mensuales ubicándose entre 7 mil a 33 mil pesos (investigador nivel III).
DEFINE DAILY DOSE (DDD) PENGGUNAAN ANTIBIOTIKA PADA PROFILAKSIS PEMBEDAHAN DI RSUD CILACAP
Authors: Hidayati Ana , Candradewi Susan , Erhan Syahnindita
Published: August 2022

Proses pembedahan adalah proses pembukaan bagian tubuh yang akan ditangani dan diakhiri dengan penutupan dan penjahitan luka. Kondisi ini memungkinkan terjadinya infeksi yang dapat dicegah dengan pemberian antibiotik. Penelitian ini bertujuan untuk mengetahui nilai DDD penggunaan antibiotik pada pasien rawat inap bedah umum di Rumah Sakit Umum Daerah (RSUD) Cilacap. Evaluasi penggunaan obat dengan DDD bertujuan untuk melihat gambaran dosis pemeliharaan rata-rata per hari suatu obat yang digunakan sebagai indikasi utama pada orang dewasa.  Penelitian ini merupakan penelitian deskriptif yang akan dianalisis dengan DDD (Defined Daily Dose). Metode penelitian ini adalah retrospektif dengan menggunakan purposive sampling. Sampel penelitian sebanyak 162 rekam medis pasien dengan kriteria inklusi, pasien dewasa berusia 18-60 tahun yang mendapat terapi antibiotik serta data medis dan konsumsi obat lengkap pasien periode Januari–Juni 2019. Data yang diperoleh dianalisis pola penggunaan antibiotik dan dilakukan menghitung nilai DDD. DDD/100 hari tidur untuk gentamisin adalah 0,260. Ciprofloxacin adalah 0,279 untuk penggunaan parenteral, dan 0,112 untuk penggunaan oral. DDD sefalosporin generasi pertama adalah 0,391 untuk sefadroksil dan 4.092 untuk sefazolin. Sefalosporin lainnya adalah 0,012 untuk anbasin, sefotaksim 0,012, seftazidim 0,112, seftizoksim 0,056, seftriakson 25.893, sefiksim 0,335, sefoperazon 0,112, dan sefoperazon-sulbaktam 0,112. DDD/100 hari tidur untuk penisilin adalah 1.007, carbapenem 1.004, metronidazol 12.227, klindamisin 0,112, azitromisin 0,186 dan doksisiklin 0,223. Kesimpulan penelitian ini DDD/100 bed days tertinggi adalah ceftriaxone.
High-speed Firewall Rule Verification Technique Improves Throughput Performance for IP Version 6
Authors: Khummanee Suchart , Saisangchan Umaporn , Somsuk Kritsanapong , Atsawaraungsuk Sarutte
Published: August 2022

Throughput performance of firewalls depend on the execution speed to verify rules. Internet Protocol Version 6 (IPv6) and IPv4 ruleset memory requirements differ and affect rule access and execution time in a wide range of common firewalls. This paper contributes a high-speed firewall to execute rules for IPv6 with constant O(1) access time, and consumes optimal O(nbit) memory for 64-bit architectures, named FW6 firewall. Results are based on actual performance evaluations in conjunction with other high-speed firewalls (IPSets, IPack, and F3), such as processing time, memory consumption and throughput. Throughput measurements in IPv6 TCP/UDP packet trials (across ruleset and window sizes) show FW6 significantly outperforms IPSets. The trials have shown that FW6 improves throughput performance over IPSets by 0.24% (mean) and 0.21% (median) across all test variables. Nevertheless, the results suggest similarity and a minor performance increase by FW6 over IPSets. In addition, FW6 and IPSets throughputs are similar to IPack and F3 in IPv4 ruleset execution comparisons. As a result, FW6 can be used to replace previous high-speed firewalls.
COMPROMISE AS ONE OF THE GROUNDS FOR EXEMPTION FROM CRIMINAL LIABILITY IN CASES OF TERRORIST AND EXTREMIST ORIENTATION
Authors: Тарасов В.Ю.
Published: August 2022

Введение: в статье исследуются технико-юридические особенности норм, регулирующих освобождение от уголовной ответственности по делам террористического характера и экстремистской направленности. Материалы и методы: в работе использовались логический, системно-структурный и статистический методы. Материалами исследования послужили материалы судебной практики, нормы отечественного уголовного законодательства и зарубежных стран, положения постановлений Пленума Верховного Суда Российской Федерации, монографии, диссертации и иная научная литература. Результаты исследования: в статье делается вывод о необходимости введения общего условия освобождения от уголовной ответственности по делам экстремистской направленности и террористического характера путем внесения изменений в ст. 75 Уголовного кодекса Российской Федерации (УК РФ) с одновременным исключением примечаний к соответствующим статьям об освобождении от уголовной ответственности. Обсуждение и заключения: анализ отечественного законодательства, международных положений, норм уголовных законодательств ряда зарубежных стран, а также направлений развития современного общества в России и мире свидетельствует о необходимости объединения разрозненных оснований освобождения от уголовной ответственности в единую норму с целью её единообразного применения и толкования.
INFORMATION AND TELECOMMUNICATION TECHNOLOGIES AS A MEANS OF COMMITTING VIOLENT CRIMES AGAINST THE PERSON
Authors: Лелетова М.В.
Published: August 2022

Введение: в статье исследованы отдельные проблемы использования информационно-телекоммуникационных технологий как способа совершения насильственных преступлений против личности, рассмотрены формы кибербуллинга. Материалы и методы: материалами исследования послужили статистические данные, материалы уголовных дел, судебная практика. В качестве методологической основы исследования выступили общенаучный диалектический метод познания социальных явлений и другие методы. Результаты исследования: обращено внимание на перечень насильственных преступлений против личности, которые возможно совершать с использованием информационно-телекоммуникационных или цифровых технологий. Понимание способов совершения указанных преступлений необходимо для разработки мер по противодействию им. Обсуждение и заключения: Интернет, особенно его теневой сегмент Даркнет, цифровые технологии предоставляют возможности для совершения значительной части преступлений против личности. Проведенный анализ дает основания утверждать, что практически все насильственные преступления против личности, предусмотренные главами 16 и 18 раздела 7 Уголовного кодекса Российской Федерации, можно совершить с использованием информационно-телекоммуникационных или цифровых технологий. Как следствие, данные преступления были объединены нами в одну группу.
APPLICATION OF PROVISIONS ON THE INADMISSIBILITY OF DISCLOSURE OF PRELIMINARY INVESTIGATION DATA TO FORENSIC EXPERTS
Authors: Надоненко О.Н.
Published: August 2022

Введение: в статье рассматриваются особенности правовой регламентации положений о недопустимости разглашения данных предварительного расследования применительно к судебным экспертам. Материалы и методы: материалом исследования выступили положения уголовно-процессуального законодательства, нормы Федерального закона от 31 мая 2001 г. № 73-ФЗ «О государственной судебно-экспертной деятельности в Российской Федерации» (далее – ФЗ № 73). Использованы общенаучные методы исследования: описание, сравнительно-правовой и формально-логический методы и др. Результаты исследования: в статье особое внимание уделено анализу положения уголовно-процессуального законодательства о недопустимости разглашения данных предварительного расследования применительно к судебным экспертам и руководителям судебных экспертных учреждений в совокупности с нормами действующего федерального законодательства. Обсуждение и заключения: сформулированы предложения по внесению изменений в федеральное и уголовно-процессуальное законодательство, позволяющих устранить существующие на данный момент правовые пробелы в регулировании обозначенной нормы.
PREVENTION OF MINOR COMPLICITY IN CRIMES IN THE DIGITAL AGE
Authors: Аносов А.В.
Published: August 2022

Введение: статья посвящена анализу современного состояния групповой преступности несовершеннолетних, формам и методам ее предупреждения с использованием информационно-телекоммуникационных технологий. Материалы и методы: статья подготовлена на основе анализа статистических данных о преступлениях, совершаемых несовершеннолетними; эмпирических данных, полученных в результате анкетирования и анализа учетно-профилактической документации подразделений по делам несовершеннолетних; криминологического прогнозирования развития ситуации с учетом цифровых факторов и условий. Результаты исследования: автором выработаны предложения по совершенствованию специально-криминологического и индивидуального предупреждения соучастия несовершеннолетних в преступлениях с учетом возможностей разных субъектов профилактики. Обсуждение и заключения: автор статьи приходит к выводу, что активное внедрение в социальную жизнь современных IT-технологий, с одной стороны, создает предпосылки для качественного изменения элементов механизма группового преступного поведения несовершеннолетних, с другой – предоставляет новые возможности повышения эффективности деятельности субъектов профилактики по противодействию соучастию несовершеннолетних в преступлениях.
TAX LIABILITY AS AN ACHIEVEMENT OF THE OBJECTIVES IN POLICE OPERATIONS
Authors: Ларичев В.Д. , Панкратьев А.Н.
Published: August 2022

Введение: в статье анализируются возникающие в правоприменительной практике проблемы, связанные с организацией работы органов внутренних дел по выявлению и документированию налоговых преступлений. Материалы и методы: методологической основой статьи стали общенаучные методы – диалектический, формальной логики, обобщение, сравнение и частнонаучные методы познания. Результаты исследования: на основе анализа оперативно-розыскного законодательства и научной литературы сделан вывод, что даже в случае отказа от возбуждения уголовного дела, если при этом были реализованы другие полномочия государственных органов, когда их реализация без применения методов оперативно-розыскной деятельности (ОРД) является затруднительной или невозможной, задача ОРД считается достигнутой. Обсуждение и заключения: в ходе исследования сформулирован вывод, что Федеральный закон от 12.08.1995 № 144-ФЗ «Об оперативно-розыскной деятельности» и другие нормативные правовые акты должны быть дополнены следующей формулировкой новой задачи ОРД: «обеспечение реализации полномочий государственных органов в случаях, установленных федеральным законом».
IMPROPER NOTIFICATION OF DEFENCE LAWYER ON DATE, TIME AND PLACE OF INVESTIGATIONS OR OTHER PROCEEDINGS AS ONE OF THE WAYS TO ELIMINATE THEM FROM THE PROCEEDINGS
Authors: Черкунова Т.В.
Published: August 2022

Введение: статья посвящена проблеме нормативно-правовой регламентации извещения адвоката-защитника о дате, времени, месте производства следственных действий сквозь призму необеспечения уголовно-преследуемых лиц правом на получение квалифицированной юридической помощи. Материалы и методы: при проведении исследования материальной основой явились сайты адвокатских профессиональных сообществ. Изучались материалы судебно-следственной практики, материалы дисциплинарных производств адвокатского профессионального сообщества, научно-теоретические труды российских ученых-процессуалистов. Методологическую основу исследования составили диалектический метод научного познания, анализ, синтез, индукция, дедукция, описание, специальные методы, логический, системно-структурный методы, также частный метод. Результаты исследования: установлено, что в нормах, определяющих регуляцию участия адвоката-защитника в уголовном процессе, требуется четкое законодательное закрепление процедуры извещения (уведомления) адвоката-защитника о дате, времени, месте производства следственных или иных процессуальных действий. Обсуждение и заключения: автором статьи сформулировано предложение по устранению пробелов в процедуре извещения защитника о дате, времени, месте производства следственных или иных процессуальных действий с участием подзащитного с целью минимизации спорных ситуаций в практической деятельности при производстве по уголовным делам.
Perencanaan Instalasi Listrik di Hotel dan Villa Maua Nusa Penida
Authors: Pancane I Wayan Dikse , Silitonga Ronal M , Asna I Made
Published: August 2022

Maua Nusa Penida is one of the hotels and villas in Nusa Penida which will be discussed in this research. The number of hotel blocks to be built is 4 blocks, where each block consists of 8 rooms. As for the villa as many as 26 various villas. There is also a main building and a restaurant that will serve as future support. Once the existing buildings are complex, the developers are required to plan all the buildings to be built in order to obtain security and also economic factors in the development process. From the results of the planning that has been carried out on each building, each building requires a different number of lights depending on the type of lamp, the type of building and also the area of the building. After getting the total electricity demand in a building, planning is continued by determining the area of cable conductors that supply each building. From the calculation results, it is also known that the type of cable used is planting cable (NYRGbY & NYFGbY) which has good insulation when planted in the ground and follows the provisions of PLN regarding voltage loss, which does not exceed 5% at the end of the conductor. The safety used in buildings uses MCB and also MCCB. Meanwhile, the safety of electric current in the LVMDP and SDP sections uses MCCB components. From the planning results, the total electricity demand is 159,441VA for zone 1 villas and also 142,536VA for zone 2 villas. From this calculation it is also known that the PLN power requirement in each zone is 164,000 VA. To get the convenience and reliability of the electrical system in this hotel and villa, the supply of electrical power in addition to the electricity source from PLN is also equipped with a backup power generator of 200 KVA in each zone.
Analisis Kelayakan Finansial dan Kerugian Akibat Adanya Pandemi Covid-19 pada Angkutan Wisata dan Angkutan Antar Jemput
Authors: Tapa I Gede Fery Surya , Ariawan Putu , Nuraga I Ketut
Published: August 2022

Before the Covid-19 pandemic, an increase in the number of foreign and domestic tourists. With the increase in the number of tourists, the number of tourist travel efforts to increase the mode of transportation, with the aim of travel and shuttle visits increases every year. The objectives of the study are to analyze most of the BOK of tourist and shuttle transportation, to analyze the revenue of financial transportation and shuttle transportation, and to analyze the feasibility of tourist and shuttle transportation. The data needed for this study are primary data obtained from questionnaire surveys and interviews, and secondary data obtained through related institutions. The total operational cost of the tourist transportation vehicle is Rp. 5,937,007,065 12 vehicles / year, shuttle transportation of Rp. 5,975,220,122 17 vehicles / year. The total tourism transportation revenue is Rp. 7,158,878,400 12 vehicles / year, and shuttle transportation of Rp. 8,978,130,221 17 vehicles / year. The financial feasibility of tourist transportation with an NPV value of Rp. 100,640,493,054> 0 (feasible), BCR value 1.95> 1 (feasible), IRR value 42.478%> 15% MARR (feasible), and PBP time of 7 years and 1 month. Shuttle transportation NPV value of Rp. 734,194,558> 0 (feasible), BCR value 1.02> 1 (feasible), IRR value 19.649%> 15% MARR (feasible), and PBP time of 6 years 4 months. Sensitivity analysis of tourist transportation costs increased by 34%, income decreased by 34% and shuttle costs increased by 1.5%, income decreased by 1.5%. Losses during 2020-2021, for tourist transportation amounted to -Rp. 10,782,606,379 12 vehicles / 2 years, shuttle transportation of -Rp. 16,866,802,314 17 vehicles / 2years.
Predictive Modeling Classification of Post-Flood and Abrasion Effects With Deep Learning Approach
Authors: Marleny Finki Dona , Mambang Mambang
Published: August 2022

Floods and abrasion are the most common disasters in Indonesia. A lot of data is collected from post-flood and abrasion disasters. From the data released by BNPB, disaster data is directly based on the occurrence of disasters. From these data, we will test predictive modeling classification with a deep learning approach.  Big data can be made through classification and predictive modeling. Our proposed model is a classification of predictive modeling of post-flood and abrasion data using the H2O deep learning approach. Deep learning H2O models can also be evaluated with specific model metrics, termination metrics, and performance charts. This approach is used to optimize the performance and accuracy of predictions during the modeling process using our dataset pool training. The big data to be processed will generate new knowledge for policies in decision making. Big data performance modeled with Deep Learning H2O is used to predict the Survival attributes of post-flood and abrasion sample datasets. The best metric performance is obtained from the maxout activation function with a 200-200 unit layer that gets an accuracy of 93.49% with AUC: 0.808 +/- 0.022 (micro average: 0.808).
Predictive Analysis of Customer Retention Using the Random Forest Algorithm
Authors: Suhanda Yogasetya , Nurlaela Lela , Kurniati Ike , Dharmalau Andy , Rosita Ita
Published: August 2022

Retaining customers is becoming a measurement focus in an industry with increasing competition. The concept of customer retention has become a research study in the sales industry, because it is difficult to retain customers and easily switch to other brands. Customer repurchase decisions in the business world of sales are very competitive. Customer satisfaction is directly proportional to the retention rate, if the customer is not satisfied then the automatic retention rate will be low. If the company is not able to meet customer expectations, it will have a serious impact on the company, namely moving customers to other services. Service factors, price, profit value, satisfaction and trust affect customer retention. One of the factors that influence consumers to become customer retention is service quality. A predictive customer retention plan is needed with data mining using the random forest algorithm. The random forest algorithm is a method that generates a number of trees from sample data, where the creation of one tree during training does not depend on the previous tree, the decision is based on the most voting. The voting results from several decision trees that are formed are the boundaries that are used as class determination in the classification process and the most votes are the winners and determine the classification class. This study aims to determine and analyze customer loyalty, customer trust and customer satisfaction. So that it can make it easier to monitor customers at the company. The results can be seen with the percentage of about 81.12% customer retention and about 18.87% customer churn. The result of feature evaluation shows that customer_activity has the highest influence on customer retention, followed by subtotal and qty.
Sweet Potato Pest Diagnosis Expert System (Ipomoea Batatas) with Forward Chaining Method and Certainty Factor
Authors: Prastiyo Slamet , Maghfiroh Canggih Nailil , Khafidhoh Nur
Published: August 2022

Sweet potato (Ipomoea batatas) growth and development is influenced by biotic and abiotic factors. One of the biotic factors that influence it is a pest attack. Pests are organisms that cause direct damage to plants. Farmers need to make regular observations to minimize the occurrence of pest attacks. Regular observations help farmers find out early on pest populations on plants and can control them immediately. Pests on sweet potato plants are very diverse, therefore, to get the right diagnosis, farmers need to consult with experts where this is often an obstacle due to time and cost constraints. One way to facilitate the identification of these pests is to use a system that can provide conclusions based on the existing symptoms, this system is called an expert system. In this study, the authors build a web-based expert system application using the forward chaining method and certainty factor, while the software development method that the author uses is the waterfall method, and the software testing method uses the black box method. This research produces a web-based application. Based on testing, the application has been successful and runs well.
Karpal Tünel Sendromlu Kadınlarda Elektrodiagnostik Test Sonuçlarına Göre Klinik Değerlendirme, Ağrı, Fonksiyonel Durum ve Uyku Kalitesi Sonuçlarının İncelenmesi: Pilot Çalışma
Authors: AKÇAY İbrahim Halil , DEMİRDEL Ertuğrul
Published: August 2022

Amaç: Çalışmamız, elektrodiagnostik test sonuçlarına göre hafif ve orta düzey Karpal Tünel Sendromu (KTS) tanısı almış kadın hastaların klinik semptom şiddetleri, el fonksiyonları ve uyku kalitelerinin karşılaştırılması ve hastaların semptom şiddetleri ile el fonksiyonelliği ve uyku kalitesi arasındaki ilişkinin incelenmesi amacıyla planlandı.Yöntem: Çalışmamız, Erzurum Atatürk Üniversitesi Eğitim ve Araştırma Hastanesi Fizik Tedavi Polikliniğine başvuran, hafif-orta düzey KTS tanısı alan ve 35-65 yaş aralığında olan 32 kadın hasta ile gerçekleştirildi. KTS şiddetinin elektrofizyolojik tanılaması için elektromiyografi (EMG), ağrı ölçümü için Vizüel Analog Skalası (VAS), KTS fonksiyonel durum şiddeti ve semptom şiddeti için Boston KTS Anketi, el fonksiyonelliği için Duruöz El İndeksi, uyku kalitesi için Jenkins Uyku Skalası kullanıldı. Veriler SPSS programı ile değerlendirildi.Bulgular: Çalışmamız sonuçlarına göre hafif ve orta şiddette KTS tanısı almış hastaların ağrı, Boston KTS Anketi, Jenkins Uyku Skalası sonuçlarının benzer olduğu (p>0.05); Duruöz El İndeksi sonuçlarının ise orta şiddette KTS tanısı almış hastalarda hafif şiddette KTS hastalarına göre daha yüksek olduğu belirlendi (p<0.05). Hastaların semptom şiddetleri ile el fonksiyonelliği ve uyku kalitesi arasındaki ilişki incelendiğinde ise; semptom şiddeti yüksek olan hastalarda fonksiyonel durum ve uyku kalitelerinin daha kötü olduğu belirlendi (p<0.01).Sonuç: KTS hastalarında EMG sonuçları ile klinik semptomlar her zaman birbiri ile uyumlu olmayabilmekte, EMG sonuçlarına göre farklı şiddette KTS’si olan hastaların yaşadığı semptomlar hastaya özgü değişiklikler gösterebilmektedir. Buna göre KTS hastalarının klinik durumları ile EMG sonuçlarının birlikte değerlendirilmesi ile hastaya özgü planlanacak tedaviler ile daha etkili sonuçlara ulaşılabileceğini düşünmekteyiz.
Türkiye ile Bazı Ülkelerin COVID-19 Vaka Sayıları Arasındaki Gecikmeli İlişkinin Çapraz Korelasyon Analizi ile İncelenmesi
Authors: DEMİRCİ Şenol
Published: August 2022

Amaç: Bu çalışmada, Dünya’da COVID-19 vaka sayısında üçüncü dalganın yaşandığı dönemde Türkiye’ye en fazla ziyaretçinin geldiği ülkeler ile Türkiye’nin günlük bir milyon kişi başına düşen COVID-19 vaka sayıları arasındaki gecikmeli ilişkinin incelenmesi amaçlanmıştır.Yöntem: Bütün ulaşım yolları dahil olmak üzere Türkiye’ye en fazla ziyaretçinin geldiği ilk 30 ülke çalışma kapsamına alınmıştır. Vaka sayıları arasındaki gecikmeli ilişki çapraz korelasyon analizi kullanılarak belirlenmiştir.Bulgular: Ukrayna (r=0,80), Polonya (r=0,81), Makedonya (r=0,78), Romanya (r=0,77), Sırbistan (r=0,76), Bulgaristan (r=0,73), Avusturya (r=0,71), Moldova (r=0,71), Birleşik Krallık (r=0,53), Fransa (r=0,52), Belçika (r=0,57), Amerika Birleşik Devletleri (r=0,57), Ürdün (r=0,81), Libya (r=0,74) ve Lübnan’da (r=0,64) vaka sayılarının pik yapmasından haftalar sonra Türkiye’de de pik gerçekleştirdiği ve gecikmeli ilişkinin olduğu saptanmıştır. Türkiye’de vaka sayılarının Almanya (r=0,69), Azerbaycan (r=0,93), Irak (r=0,88), İran (r=0,87) ve Hollanda (r=0,77) ile benzer zaman aralıklarında benzer bir trend sergilediği tespit edilmiştir. Sonuçlar istatistiki açıdan anlamlıdır (p<0,05).Sonuç: Türkiye’de vaka sayılarında üçüncü dalganın yaşandığı dönemde, çalışma kapsamında gecikmeli ilişki tespit edilen ülkelerden gelen ziyaretçilerin hastalığın toplum içerisinde yayılımında etkisi olabilir. Bu bakımdan vaka sayılarında ciddi artışların olduğu ülkelerden Türkiye’ye gelen ziyaretçilerin ülkeye girişlerine izin verilmemesi, karantinada kalma koşulu ile girişine izin verilmesi, ülkeye girişten sonra semptom takibinin yapılması gibi farklı çözümler ile farklı ülkelerden hastalığın taşınması kısmi olarak engellenebilir.
Energy Conversion and Partition in Plasma Turbulence Driven by Magnetotail Reconnection
Authors: Li Xinmin , Wang Rongsheng , Huang Can , Lu Quanming , Lu San , Burch J. L. , Wang Shui
Published: August 2022

A long-outstanding issue in fundamental plasma physics is how magnetic energy is finally dissipated in kinetic scale in the turbulent plasma. Based on the Magnetospheric Multiscale mission data in the plasma turbulence driven by magnetotail reconnection, we establish the quantitative relation between energy conversion (
J
•
E
; J is current density and E is electric field) and current density (J). The results show that the magnetic energy is primarily released in the perpendicular directions (up to 90%), in the region with current density less than 2.3 J
rms, where J
rms is the rms value of the total current density ∣
J
∣. In the relatively weak current region (<1.0 J
rms), the ions get most of the released energy while the largely negative energy conversion rate of the electrons means a dynamo action. In the strong currents (>1.0 J
rms), the ion energization was negligible and the electrons are significantly energized. Moreover, a linearly increasing relationship was established between ∣
J
•
E
∣ and

J

. The observations indicate that ions overall dominate energy conversion in turbulence, but the electron dynamics are crucial for energy conversion in intense currents and the turbulence evolution.
Interaction of a Relativistic Magnetized Collisionless Shock with a Dense Clump
Authors: Tomita Sara , Ohira Yutaka , Kimura Shigeo S. , Tomida Kengo , Toma Kenji
Published: August 2022

The interactions between a relativistic magnetized collisionless shock and dense clumps have been expected to play a crucial role in magnetic field amplification and cosmic-ray acceleration. We investigate this process using two-dimensional Particle-In-Cell (PIC) simulations, for the first time, where the clump size is much larger than the gyroradius of the downstream particles. We also perform relativistic magnetohydrodynamic (MHD) simulations for the same condition, to see the kinetic effects. We find that particles escape from the shocked clump along magnetic field lines in the PIC simulations, so that the vorticity is lower than that in the MHD simulations. Moreover, in both the PIC and MHD simulations, the shocked clump quickly decelerates because of relativistic effects. Owing to the escape and the deceleration, the shocked clump cannot amplify the downstream magnetic field in relativistic collisionless shocks. This large-scale PIC simulation opens a new window to understanding large-scale behaviors in collisionless plasma systems.
Ectasia After SMILE Lacking Perceivable Risk Factors
Authors: Morales Flores Norma , Pérez-Solórzano Sofía , Kahuam-López Nicolás , Ramirez-Miranda Arturo , Graue-Hernández Enrique O. , Navas Alejandro
Published: August 2022

PURPOSE:

To describe 3 eyes from 2 patients who had corneal ectasia after small incision lenticule extraction (SMILE) without tangible risk factors.

METHODS:

A 27-year-old woman and a 24-year-old man with compound myopic astigmatism and normal corneal topographies underwent uneventful SMILE in both eyes.

RESULTS:

The first patient complained of decreased visual acuity 6 months after SMILE. She presented with uncorrected distance visual acuity (UDVA) of 20/60 and 20/200 in the right and left eyes, respectively. Topography revealed decreased thickness and inferior steepening in both eyes. The second patient presented at 5 years after SMILE with UDVA of 20/400 and 20/100 in his right and left eyes, respectively. Tomography revealed an inferior steepening in the right eye. These findings were compatible with post-refractive surgery ectasia.

CONCLUSIONS:

Even though SMILE is considered a safe procedure, it is not exempt from developing corneal ectasia even without evident risk factors, which implies the need for a strict preoperative evaluation.

[
Journal of Refractive Surgery Case Reports.
2022;2(3):e63–e67.]
Decision support system based on fuzzy credibility Dombi aggregation operators and modified TOPSIS method
Authors: Qiyas Muhammad , Madrar Talha , Khan Saifullah , Abdullah Saleem , Botmart Thongchai , Jirawattanapaint Anuwat
Published: August 2022

The operational law plays an important role in the aggregation operator for group decision system. The aggregation information has high influence in aggregating group decision information. Therefore, the main objective of the proposed work is to develop some operational laws as aggregation operator for fuzzy credibility numbers based on Dombi norms. Dombi operations can benefit from the best operational parameter flexibility. To the best of our knowledge, Dombi operations have so far not been used in for fuzzy credibility numbers (FCNs). Using these Dombi t-norm and t-conorm to define some different fuzzy credibility aggregation operators. i.e., fuzzy credibility Dombi weighted averaging (FCDWA) operator, fuzzy credibility Dombi ordered weighted averaging (FCDOWA) operator, fuzzy credibility Dombi hybrid weighted averaging (FCDHWA) operator. Next, we used TOPSIS method procedure for multi-attribute grouped decision-making (MAGDM). Finally, we provided an example, as well as a discussion of the comparative result analysis, to ensure that their findings are credible and practical.
Extreme graphs on the Sombor indices
Authors: Yang Chenxu , Ji Meng , Das Kinkar Chandra , Mao Yaping
Published: August 2022

Gutman proposed the concept of Sombor index. It is defined via the term $ \sqrt{d_F(v_i)^2+d_F(v_j)^2} $, where $ d_F(v_i) $ is the degree of the vertex $ v_i $ in graph $ F $. Also, the reduced Sombor index and the Average Sombor index have been introduced recently, and these topological indices have good predictive potential in mathematical chemistry. In this paper, we determine the extreme molecular graphs with the maximum value of Sombor index and the extremal connected graphs with the maximum (reduced) Sombor index. Some inequalities relations among the chemistry indices are presented, these topology indices including the first Banhatti-Sombor index, the first Gourava index, the Second Gourava index, the Sum Connectivity Gourava index, Product Connectivity Gourava index, and Eccentric Connectivity index. In addition, we characterize the graph where equality occurs.
A fault diagnostic approach based on PSO-HMM for underwater thrusters
Authors: Chu Zhenzhong , Gu Zhenhao , Li Zhiqiang , Chen Yunsai , Zhang Mingjun
Published: August 2022

In this paper, we describe an approach based on improved Hidden Markov Model (HMM) for fault diagnosis of underwater thrusters in complex marine environments. First, considering the characteristics of thruster data, we design a three-step data preprocessing method. Then, we propose a fault classification method based on HMMs trained by Particle Swarm Optimization (PSO) for better performance than methods based on vanilla HMMs. Lastly, we verify the effectiveness of the proposed approach using thruster samples collected from a fault emulation experimental platform. The experiments show that the PSO-based training method for HMM improves the accuracy of thruster fault diagnosis by 17.5% compared with vanilla HMMs, proving the effectiveness of the method.
A new DG method for a pure–stress formulation of the Brinkman problem with strong symmetry
Authors: Meddahi Salim , Ruiz-Baier Ricardo
Published: August 2022

A strongly symmetric stress approximation is proposed for the Brinkman equations with mixed boundary conditions. The resulting formulation solves for the Cauchy stress using a symmetric interior penalty discontinuous Galerkin method. Pressure and velocity are readily post-processed from stress, and a second post-process is shown to produce exactly divergence-free discrete velocities. We demonstrate the stability of the method with respect to a DG-energy norm and obtain error estimates that are explicit with respect to the coefficients of the problem. We derive optimal rates of convergence for the stress and for the post-processed variables. Moreover, under appropriate assumptions on the mesh, we prove optimal \begin{document}$ L^2 $\end{document}-error estimates for the stress. Finally, we provide numerical examples in 2D and 3D.
Online continuing medical education in Mongolia: needs assessment
Authors: Baatarpurev Baljinnyam , Tsogbadrakh Basbish , Bandi Solongo , Samdankhuu Gal-Erdene , Nyamjav Sumberzul , Badamdorj Oyungoo
Published: August 2022

Purpose: Due to the shortage in the healthcare workforce, insufficient qualifications, a lack of infrastructure and limited resources in Mongolia, it is not always possible for healthcare workers in rural areas who wish to attend continuous training and retraining courses to do so. However, in order to provide high-quality care, the demand for distance learning and the upgrading of knowledge and practice of many medical topics (especially related to morbidity and mortality) are necessary for the rural population. This study aimed to assess the needs of e-learning medical education, of graduates in Mongolia.Methods: A cross-sectional research design was implemented. We collected data from 1,221 healthcare professionals (nursing professionals, physicians, midwives, and feldshers) who were randomly selected from 69 government hospitals in Mongolia. Data were collected using self-assessment questionnaires which captured the needs assessment in a survey for online continuous medical education in Mongolia. Data were analyzed using descriptive statistics and Kruskal-Wallis statistical test.Results: Ninety percent of the respondents reported that they plan on attending online continuous medical education with the most preferred specialty area being emergency medicine. Results using the Kruskal-Wallis statistical technique suggested the preferred specialty area, educational content, appropriate time schedule, available devices, and tools were statistically significant and were different between the nursing professionals, physicians, midwives, and feldshers (p<0.05).Conclusion: Findings provide important evidence for the implementation of measures and strategies which can assist healthcare professionals in low and middle-income areas/countries to constructively address their need for enhanced knowledge and practice through distance learning.
Mn-BIM Based Photo-Catalytic Degradation of Hazardous Industrial Organic Pollutants in Fresh Water
Authors: Ismail Rabah Mahmoud Ahmad , Rathinam R. , Al-Jamal Marwa , Ramachandran Sathish Kumar , Al-Mattarneh Hashem , Pant Bhasker , Patil Pandurang Y.
Published: August 2022

A simple chemical co-precipitation approach was used to produce in situ nanocomposites based on Mn-BIM, and the results were promising. It is possible to increase the photocatalytic degradation efficiency. The morphology of the nanocomposites is investigated using X-ray diffraction data and the structural features of the nanocomposites are investigated using electron microscopy. Mn-BIM is a nanoparticle with an average size of 50 nm. In order to determine their photo-catalytic activity, researchers investigated nanocomposites produced from industrial waste dyes rhodamine-B. Following 90 minutes in direct sunshine, the photo-degradation of these dyes occurs, with a photo-degradation rate of more than 90 percent. To evaluate whether nanocomposite materials have the ability to photodegrade dyes, tests have been carried out. The rate-limiting stepwise de-ethylation process for the degradation of rhodamine-B dye has been proposed as the mechanism of degradation.
Detection of Cancer Cells Using G-Rich DNA Based Target Binding-Switching Calorimetric Biosensor
Authors: Babakuliyev Alisir , Maiti Niladri , Antony Annie Aglin , Ansari Mohammad Javed , Chobe Santosh S. , Dixit Chandra Kumar
Published: August 2022

This paper reports the G-rich ssDNA for the colorimetric detection of cancer cells. The ssDNA-1 sequence has explored for the potential application of “Turn-On” colorimetric sensor for selective and sensitive detection of cancer cells. While complementary G-rich DNA strand form G-quadruplex with hemin molecule, which is more effective to catalyze the peroxidase mimicking activity towards TMB chromogenic substrate. The ssDNA-1 exhibits good selectivity for cancer cells. The colorimetric intensity of TMB was enhanced upon interaction of leukemic lymphoblasts cancer cells. The effect of pH has turned the selective sensing performances of the biosensor for detecting cancer cells with a lower detection limit of 0.54 nM, 0.18 nM, and 0.2 nM respectively.
A Novel Green Synthesized Carbon Dots for the Detection of Organophosphate Pesticides in Fruits and Vegetables
Authors: Nayak Tanvi , Simon Nzikahyel , Yadav Anil Kumar , Gour Nikita Indrapalsingh , Debnath Sandip , Purushotham Malleboina , Kadam Pratima S.
Published: August 2022

Green synthesized carbon quantum dots (CQDs) are successfully applied for the detection of organophosphate pesticides in fruits and vegetables. The banana fruit is used as a carbon source for the synthesis of CQDs via a one-pot hydrothermal route. The quenching in emission intensity of the synthesized carbon dots (CQDs) is observed for organophosphate pesticides (OPPS) in sample water. The hydroxyl and carboxylic functional groups over the surface of carbon dots exhibited a high binding affinity for detecting organophosphate pesticides. The amine group of Parathion was easily interacted with carboxylic group of CQDs which causes the fluorescence quenching via inner filter effect. The quenching in fluorescence intensity of CQDs was used to measure the inhibitory efficiency of OPPS. The quenching efficiency was proportional to the concentration of Parathion observed in sample water in the range of 0 to 500 nM under optimal conditions, with a detection limit of 12 nM. Moreover, the easy-to-use method had been used to detect Parathion in agricultural and environmental samples.
Facile Synthesis of Proficient Visible Light Active Photo-Catalyst for Degradation of Organic Industrial Waste Water
Authors: Shukla Surendra Kumar , Alsadi Jamal , Ismail Rabah Mahmoud Ahmad , Al-Mattarneh Hashem , Khudier Mohanad , Potrich Erich , Omoniyi Elabiyi Michael
Published: August 2022

The photo-catalytic degradation of Congo red (CR) was examined in presence of visible light at various operating condition, pH and amount of catalyst and time. The CR dye degradation rate was 97% about 80 minute of exposure, respectively, indicating that pH 7 was the optimal pH for degradation. The photo degradation processes of dyes were considered to be connected to a kinetic models, which was later shown incorrect. The effective degradation process might be used to explain the degradation of congo red dye.
A retrospective study comparing oral health in cancer patients and healthy people
Authors: Hosainzadegan Hasan , Parvan Reza , Hosainzadegan Mortaza
Published: August 2022

The purpose of this study was to investigate the relationship between oral and dental health in cancer patients and control group, which was conducted in Tabriz Shahid Gazi hospital. A researchers-made and validated questionnaire including oral and dental health criteria, was filled by the cancer patients (201 cases) and healthy controls (199 cases). Then, the results of the study were analyzed by SPSS software, and reported as Odds ratios (95 % confidence intervals) in tow groups. The results indicate that comparison of filled tooth, tooth extraction, dental caries, and gingival problems including bleeding, gum surgery and inflammation in cancer and controls were significantly meaningful. However, the comparison between the two groups was not significant in terms of the type of the tooth (natural or denture) and the number of daily toothbrushes, but they were considered as risk factors due to statistical results. Environmental factors, and especially oral hygiene, can play an important role in the incidence of different cancers. Among these, the type of oral microorganisms, and their overgrowth and released antigens should be studied further in the emergence of different kinds of cancer in humans.
A dynamic statistical cardiac atlas with adjustable shape and motion features
Authors: Zhao Peng , Alghalban Hussein Y. Y. , Zhu Yufei , Chong Yinbao , Wang Hongkai
Published: August 2022

Background and Objectives:

Digital heart atlases play important roles in computational cardiac simulation and medical image analysis. During the past decades, various heart anatomy models were developed, but they mostly focused on the ventricular part. Recently, a number of whole-heart atlases were developed but they rarely modelled the motion features. This study constructed a whole-heart atlas incorporating dynamic cardiac motion.

Materials and Methods:

The shape and motion features of the atlas were learnt from a training set of 57 dynamic computed tomographic angiography images including 20 cardiac phases. Inter-subject variations of the heart anatomy and motion were incorporated into the atlas using the statistical shape modelling approach. Clinically relevant physiological parameters (e.g., chamber volumes, ejection fraction, and percentage of systolic phase) were correlated with the shape and motion variations using the linear regression approach. The shape and motion pattern of the atlas can be adapted by adjusting the physiological parameters.

Results:

Quantitative experiments were conducted to measure the anatomical accuracy of the atlas for whole-heart shape reconstruction of different subjects, a mean Dice score of 0.89-0.93 and a mean surface distance of 1.02-1.91 mm were achieved for the four heart chambers, respectively.

Conclusions:

This atlas provides a novel computational tool with adjustable shape and motion parameters for cardiac simulation research.
#Ophthalmology: Popular ophthalmology hashtags as an educational source for ophthalmologists, an Instagram study
Authors: Tıskaoğlu Nesime Setge , Seyyar Sevim Ayça
Published: August 2022

Purpose:

This study aims to determine the content and intent of posts published under popular ophthalmology hashtags and to determine whether these posts were educational for ophthalmologists.

Methods:

A web-based, cross-sectional study design was used to evaluate the top public posts of five popular hashtags on three consecutive days by two ophthalmology specialists. The first 100 relevant English posts of each hashtag were studied. Selected hashtags were #Ophthalmology, #ophthalmosurgery, #ophthalmologyresident, #ophthalmologist, and #ophthalmicphotography. Posts were classified according to the type of post, post author, post intent, and whether the post was educational. Posts deemed educational were then categorized separately using the same classification system as above to determine whether there were defining characteristics of educational posts.

Results:

One thousand posts were recorded and analyzed and a total of 500 posts were included in the study. The majority of posts 79.8% (n = 399), were by medical doctors with 95% (n = 379) being ophthalmology specialists. Sixty-three percent of posts (n = 315) were deemed educational, 25% promotional (n = 127), and 12% (n = 58) were entertainment posts. Medical retina (n = 119) and anterior segment (n = 90) were the most common subspecialties explored. #ophthalmicphotography (P = 0.001) was the hashtag with the highest number of educational posts (n = 91). The least educational hashtag was #ophthalmologist with only 44% of posts (n = 44) that were deemed to be educational. One hundred percent of glaucoma posts (n = 19), 98% of cornea posts (n = 41), and 99% of medical retina posts (n = 118) were found to be educational which was significantly more educational than the other topics posted (P ≤ 0.001).

Conclusion:

Ophthalmologists are the main authors of posts in popular ophthalmology hashtags. The majority of posts were educational posts with promotional posts being the second most common intent. The authors conclude that while Instagram is a possible source of ancillary education for the visual specialty of ophthalmology, careful selection of hashtags and post authors are needed for maximum benefit.