bluuebunny/crossref_metadata_2025 huggingface dataset:
Ivermectin: An Anti-Parasitic Drug that has Potential for Repurposing for COVID-19
Authors: Rashid Maryam , Piracha Mariyam Iftikhar
Published: September 2021

After global health catastrophe due to Coronavirus disease-2019 (COVID-19), a deep impact on the way we perceive our world and our everyday lives has been imprinted. Till now, no specific antiviral drug has been proven effective for curing patients. Ivermectin, the broad-spectrum macrocyclic lactone has proven to exert antiviral activity against human immunodeficiency virus (HIV), dengue virus and now capability to reduce viral RNA up to 5,000-fold after 48 h of infection with SARS-CoV-2.
Surveillance of SARS-CoV-2 and RT-PCR-Based Assay Design
Authors: Kuznetsova Nadezhda A. , AA Pochtovyy , MA Nikiforova , VA Guschin
Published: September 2021

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Coronavirus in 13 Months Old Child: Report of a Successful Conservative Management Strategy
Authors: Saqib Muhammad , Jameel Dania , Javed Maham , Nighat Sumera , Anwar Sadia , Farasat Fizzah
Published: September 2021

Children of all ages have been reported to be susceptible to COVID-19 with no significant gender difference. Clinical manifestations of paediatric patients are generally less severe than those of adult patients except for the children with co-morbidities. We report a case of a COVID-19 positive child, 13 months old, with both parents positive and managed conservatively for symptoms of cough and loss of appetite. Continuous monitoring and close follow-up in intensive care is the key to successful recovery in patients with Coronavirus infection without co-morbidities.
Over-the-Counter Use of Ibuprofen and COVID-19 - A Controversy Resolved?
Authors: Hayat Waqar , Khan Munnaza Jawad
Published: September 2021

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Prognostic and Predictive Role of Selected Biochemical Markers in COVID-19
Authors: Bano Farhat , Tahir Aisha , Ghani Mansoor
Published: September 2021

Rapid emergence and spread of current pandemic of COVID-19 has evoked the medical science community to investigate quick, accurate and reliable diagnostic and prognostic approaches. Early identification of causative agent SARS-CoV-2 in host and monitoring the blood biochemical parameters for the assessment of disease severity leads to devise proper management and care to minimize mortality rate. The research studies on biochemical markers in COVID-19 published till May 15, 2020, are retrieved by using keywords “biochemical markers, biomarkers, COVID-19, and SARS-CoV-2” at web search engines (Google scholar & PubMed). Selected articles are reviewed for the selected biomarkers that can be useful prognosticators of mild and severe patient outcomes to provide assistance in clinical management of the outbreak for frontline medical personnel. Biochemical tests include panels of liver and renal functioning, lactate dehydrogenase, C-reactive protein, and interleukin-6 that have abnormal and deteriorated values as compared to normal controls and mild cases. Patients having baseline comorbidities such as hepatitis or chronic kidney disorder might develop multiorgan injuries during hospitalization but in other patients’ biomarkers measure the status of inflammatory response and drug therapy outcomes
Fetomaternal Outcome in Women with COVID-19 in a COVID Designated Hospital in Lahore, Pakistan
Authors: Munir Shamila Ijaz , Ahsan Amna , Iqbal Sofia , Aslam Summera , Tahira Tayyaba , Alqai Sodat
Published: September 2021

Background and Objective: The pandemic caused by Coronavirus disease-2019 (COVID-19) is notably becoming similar to severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome viruses (MERS) for causing poor feto-maternal outcome. There is not much data available about COVID-19 during pregnancy in Pakistan therefore the objective of this study is to determine maternal and fetal outcome in pregnant women affected with COVID-19 and to find out frequency of vertical transmission. Methods: This descriptive case series was conducted from 1st April 2020 to 10th May 2020 at Department of Obstetrics and Gynecology, COVID ward, Sir Ganga Ram Hospital, Lahore. A total of 20 women were included in the study that were found positive for viral RNA by Real-Time Reverse TranscriptionPolymerase Chain Reaction (rRT-PCR) of nasopharyngeal specimens. Demographics, duration of gestation, fetomaternal outcome and vertical transmission were noted in the respected proformas. The data was analyzed using Statistical Package for Social Sciences version 20. Results: The mean age of these gravid females was 29.3 ± 4.17 years. The mean gravidity was 2.60 ± 1.14 and mean gestational age was 29 ± 9.53 weeks. Among 20 patients, 4(20%) were primigravida, 5(25%) females were gravida 2 and remaining 11(55%) cases were gravida 3 and 4. The most common presenting complaints were fever followed by dry cough, myalgia and shortness of breath. Nine patients were delivered by lower segment cesarean section in which fetal distress was observed in 5(55.6%) newborns and 1(10%) newborn was preterm. Among all newborns, 02 developed respiratory distress syndrome and were admitted in pediatric intensive care unit. All pharyngeal swabs of newborns were negative at 12 and 24 hours of life. Conclusion: COVID-19 in pregnant females is not different than in general population. The fetomaternal outcome is usually good and there is no evidence of vertical transmission in any newborn.
How COVID-19 is Changing Behaviors of Population: A Study from Punjab?
Authors: Sadiq Ahmad , Saleem Muhammad Salman , Malik Muna , Malik Muhammad Irfan , Akhtar Fahd Kamal , Waheed Khalid
Published: September 2021

Background and Objectives: Coronavirus disease 2019 (COVID-19) is a respiratory disease caused by a novel Coronavirus. The World Health Organization (WHO) officially declared it a health emergency on January 30, 2020. WHO also called for collaborative efforts from all countries to prevent its further spread. The success of the world’s battle against COVID-19 depends upon people’s adherence to the control measures which is affected by their Knowledge, Attitudes and Practices (KAP) towards the disease as suggested by KAP theory. In this study, the KAP of population from Punjab towards COVID-19 during the rapid rise period of the COVID-19 outbreak is investigated. Methods: This was a cross-sectional study based on Google forms-based survey regarding the Knowledge, Attitudes and Practices of participants towards COVID-19. A total of n = 500 participants completing their questionnaires were included. Online data was extracted and cross-checked for any discrepancy. Statistical analysis was done by using SPSS ver.22. Results: Participants with ≥ 22 years of age significantly practicing more social distancing (P<0.05). Knowledge of hand hygiene and proper discarding of mask were significantly more associated with the practices of social distancing. Knowledge of cough and sneezing etiquettes was significantly related to practice social distancing (P < 0.01). Attitude of hand hygiene protocols was significantly related to practicing hand washing, minimizing touching environment (P < 0.01) and disinfecting house and workplace (P < 0.05). Conclusion: The present study showed a good knowledge, positive attitudes and suitable practices in population of Punjab. The health awareness programs designed after pandemic declaration by WHO, played a vital role in improving all these things.
Knowledge and Practices of Dentists Regarding Personal Protective Equipment during COVID-19 Pandemic: A CrossSectional Study among Pakistani Dentists
Authors: Lodhi Saood Khan , Ehsan Saroosh , Rafique Adeela , Tahir Shaila , Khan Talha
Published: September 2021

Background and Objective: The Coronavirus disease 2019 first appeared in the area of Wuhan, China. Dental professionals are at greater risk of getting infected by patients and certain dental procedures involving aerosol generation and proximity to the oropharyngeal region. Therefore, Personal Protective Equipment (PPE) is recommended to protect skin and mucosa from infected blood or saliva. American Dental Association (ADA) has published recommendations for dental treatment, yet most of the dentists are still hesitant in treating patients. The objective of this study was to assess the knowledge and practices of dentists in Pakistan regarding PPE during COVID-19 pandemic. Methods: Data collection was done using a well-structured web-based questionnaire (Google forms). The survey form was disseminated by sending the link via email, WhatsApp and other online forums. Results: A total of n = 1016 responses were collected. Approximately 91.6% of the participants were young dentists with years of experience 1 – 10 years. Majority of the participants 76.7% did not have easy access to PPE. A total of 60.8% claimed to be aware of the recent World Health Organizations, Centre for Disease Control and other international guidelines to screen COVID-19 patients at their clinic. Almost all the participants, 95.6%, had never undergone N95 fit-testing in their career. More than half of the participants, 64.4% were not aware of the differences between N95, N99, N100 masks. A positive trend was observed in 91.7% of the participants when asked about washing hands or uses an alcohol-based sanitizer before every patient encounter. More than three quarter (81%) of the participants was not performing aerosol producing procedures at their practices. Conclusion: Majority of dentists were found to have adequate knowledge and practice scores, which is important to combat COVID-19. However there still many gaps in their knowledge and practices which need to be highlighted to ensure safe dental practice for both patients and dentists.
Knowledge, Attitude and Practices (KAP) Regarding the Prevention against COVID-19 Infection at the Outset of Outbreak in Pakistan Amongst Smart Phone Users
Authors: Ahmed Hina , Ahmed Aziza , Saeed Muhammad Ahmed
Published: September 2021

Background and Objective: At the outset of outbreak of Coronavirus disease-19 (COVID-19) infection in Pakistan, there had been a lot of confusion regarding the preventive measures in general public. The objective of current study was to determine the knowledge, attitude and practices regarding the home preventive measures against COVID-19 infection amongst smart phone users at the outset of outbreak in Pakistan. Methods: It was a cross-sectional online survey to determine the knowledge, attitude and practice amongst the smart phone users regarding the preventive measures against Corona infection. Total 388 questionnaires were submitted in one week in first week of April 2020. The data was collected through online questionnaire which were disseminated through WhatsApp groups. The completed questionnaires were compiled and analysed by using SPSS software version 21. Frequencies of responses were calculated. Results: A total of 196 (50.5%) participant were in the age category of 17–25 years with female predominance. Three hundred and 66 (94.3%) preferred washing hands with soap and water for 20 or more seconds, two thirds of the participants also agreed on the role of sanitizers. Only 159 (41%) knew what social distancing meant. Regarding the disinfection of eatable and non-eatable, almost half of the participants agreed to use soap and water. Considering the most effective disinfectant, 225 (43.8%) preferred Dettol. Surgical mask and N-95 masks were considered the effective ways to avoid droplet infections. Regarding the survival of the virus in different media, majority of the responses were completely ignorant. Conclusion: There are still gaps in knowledge, attitude and practices regarding prevention against Coronavirus infection at the outset of this out-break in Pakistan.
Guidelines for Providing Dental Care Services during COVID-19 -An Excerpt from Guidelines of Ministry of National Health Services, Regulations & Coordination, Pakistan
Authors: Shafiq-ur-Rehman Syed , Zafar Sobia
Published: September 2021

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The COVID-19 Host Genetics Initiative: UHS is a Global Partner
Authors: Jahan Shah , Afzal Nadeem
Published: September 2021

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Understanding COVID-19 through the Dental Lens
Authors: Ghafoor Sarah , Akram Ansa Javed
Published: September 2021

Corona virus Disease-19 (COVID-19) is a global health pandemic that has affected life of every individual in the world. It is caused by a novel Corona virus strain that has caused seventh Corona virus infection that has affected human population, named as “COVID-19” virus by the World Health Organization. Previously, six Corona virus infections have affected humans but those caused by SARS-CoV and MERS-CoV have proved to be more lethal. Angiotensin Converting Enzyme 2 (ACE2) has been found as the receptor for COVID-19 through which cellular entry of the virus is mediated into the body. These receptors are abundantly present in the oral cavity especially on the epithelial cells of the tongue, oral mucosa and the gingiva. Saliva is an oral bio-fluid of the oral cavity in which high titres of the virus have been identified during early and later stages of infection. Saliva collection is a non-invasion method and can act as a diagnostic tool for COVID-19 disease. Common oral symptoms of the disease include transient loss of taste, smell and dryness of mouth. Precautionary measures must be taken by dentist before carrying out any dental procedure for safety of the health care professional, staff and also the patient. Dental community must think of the “new normal” regarding clinical dental care in light of post-COVID-19 situation.
Host Genetic and Epigenetic Factors in Determining Clinical Outcome of Coronavirus Disease-2019
Authors: Khalid Tanveer , Amar Ali , Khaliq Shagufta
Published: September 2021

The infection caused by Severe Acute Respiratory Syndrome-Corona Virus 2 (SARS-CoV-2) has rapidly emerged as a serious pandemic, causing substantial morbidity and sometimes mortality with a significant healthcare burden. Unfortunately, Pakistan is among top twenty countries of the world affected by COVID19. The clinical spectrum in COVID-19 is diverse, ranging from mild disease having flu-like symptoms to potentially fatal ARDS, cytokine storm, multiple organ failure and death. Common risk factors associated with severe outcome in COVID-19 infection include male gender, older age and presence of comorbidities such as hypertension, diabetes and cardiovascular disease. Here we reviewed the available literature and report that the underlying mechanisms that account for a broad range of symptoms during respiratory viral infections, that have been well studied in the case of influenza viruses, adenoviruses, SARS-CoV and MERS-CoV, suggest that host genetic and epigenetic factors may also play a significant role in determining susceptibility and clinical outcome in COVID-19 infection. In this review we discuss the potential roles of host genetic factors including cellular receptors for COVID-19, HLA and inflammatory cytokine genes. Based on the SARS-CoV-2 genome and protein-protein interactions map between host and viral proteins we also describe the potential roles of several viral proteins in epigenetic modulation of host inflammatory innate immune response by targeting different cellular pathways particularly NF-κB activation, which may lead to the inflammatory cytokine storm and a severe COVID-19 disease. Investigations of these genetic and epigenetic mechanisms during COVID-19, especially in local settings, will be helpful in management of patients with higher risks and in the development of novel antiviral therapeutics.
Better Diagnostic Modality for COVID-19: CT Chest or RT - PCR? - A Systematic Review
Authors: Tanvir Seemi , Fazal Ayesha , Sajjad Sadia , Ahmed Shabbir
Published: September 2021

Background and Objective: A set of new studies is offering perspective and guidance on the differences between using Real Time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) and chest Computerized tomography (CT) in terms of sensitivity and specificity. This review paper addresses the comparative diagnostic potential of CT chest and RT-PCR for COVID-19. Method: An online literature search was carried out from Jan. 2020 to Apr. 2020 from Google -Scholar, Web of Science, Science Direct and PubMed using the MeSH key words. Twenty-five articles were retrieved. Articles with incomplete information and covering other factors like ethnicity were excluded and only the articles with comparison between two clinical diagnostic methods were included. Avoiding the duplication of issues, 5 articles were finally selected for review. Result: This review observed 98% pooled sensitivity of CT-chest being much higher than that of RT-PCR (75%). Conclusion: Patients with suspicion of COVID-19 should be screened using CT scan chest as a more sensitive technique.
Impact of COVID-19 on Pregnancy and Childbirth: A Systematic Review of Recent Evidence
Authors: Sajid Mir Ibrahim , Awais Sheharbano , Sala Khizar , Sherwani Maryam , Abaidullah Sajid , Kamal Nighat , Parveen Zahida
Published: September 2021

Background and Objective: There is a high suspicion that SARS-CoV-2 might be transmitted vertically from mother to fetus and causes clinically significant infection. This review evaluates the pathogenesis, risk factors, diagnosis and management strategies in pregnant women suspected or confirmed with COVID-19 infection. Methods: A literature review of published articles was carried out using keywords of corona virus (and its root derivatives), pregnancy, vertical transmission and childbirth in Medline, Cochrane, CINAHL and Web of Sciences. Clinical articles including case-control, case reports, case series and reviews published between 2019 and 2020, in English language were included. Editorials and Letter to Editors were not included. Two independent authors reviewed title and abstract and another set of two independent authors screened full text. A total of 22 articles were shortlisted for addition into the final manuscript. Results: A total of 403 pregnancies were considered in the study with most of the patients in the third trimester of pregnancy. There was no maternal mortality reported in the literature, however 1.49% fetal mortality has been reported. Conclusion: Extensive care should be taken to determine the timing and mode of delivery, preparation of a safe-to-deliver labor room and the choice of anesthesia with detailed newborn observation.
Why Severity Rate of COVID-19 is High in Patients with Diabetes Mellitus: A Brief Insight
Authors: Ishfaq Romah , Zulfiqar Anam , Zulfiqar Atif , Javaid Asghar , Zulfiqar Muhammad , Akhtar Naeem
Published: September 2021

Novel Coronavirus disease 2019 (nCOVID-19) a global pandemic is an ever-remaining threat for patients with Diabetic Mellites (DM). Herein, we have tried to provide brief insight to critically analyze the reasons causing the severity of Coronavirus disease (COVID-19) in patients diagnosed with DM. This, mini review highlights the key investigations starting from binding of COVID-19 at the cellular surface to create sever infection or even death in DM patients. The study further suggested to pay urgent attention towards stabilization of deadly immune response arises as a result of COVID-19. We hope the highlighted investigation will help the researchers to understand and develop a road map to deal DM patients infected with COVID-19 to minimize the severity rate.
COVID-19: Evolving from Myths and Trials to a Potentially Treatable Disease
Authors: Naz Afshan Mehvish , Kausar Samina , Ghani Mansoor , Kousar Saima
Published: September 2021

Since the COVID-19 outbreak has emerged, every nation and every government are trying its best to combat the disease and develop strategies for better prevention, diagnosis, treatment and management of this lethal virus. Though the mortality rate is far less than any other pandemic the world has experienced, still patients with co-morbid conditions and immune system disorders are at high risk of fatal outcome. There are no approved treatments for COVID-19; thus, people with COVID-19 should be referred to clinical trials. Several agents have been touted as treatments for COVID-19, but at this point, the data are insufficient to inform a recommendation for or against the use of these agents outside of clinical trials; well-conducted randomized trials will be critical in determining how COVID-19 should be treated.
AHENK UNSURLARI BAKIMINDAN ŞEYHÜLİSLAM YAHYA’NIN GAZELLERİNE BİR BAKIŞ
Authors: BALALAN Ali
Published: September 2021

Divan şiirinde ses ve söz tekrarları, ritim, kafiye ve redifler ahenk unsurlarının başında geliyor. 17. yüzyılda yaşamış, gazel sahasında söz sahibi olan Şeyhülislam Yahya, klasik şiir geleneğine damga vurmuştur. Bu çalışmamızda Şeyhülislam Yahya Divanı’ndaki ahenk unsurlarını tespit etmeye çalıştık. Yaptığımız bu çalışma bir bakıma üslûp çalışması olduğundan daha çok yapısal eleştiri yöntemleri ve anlatım bilimi kuralların kesiştiği bir alanda durmaktadır. Bu alanda maalesef çok kapsamlı bir araştırma yapıldığını söyleyemeyiz. Biz, bu çalışmamızda Divan’daki ahenk unsurlarını söz ve ses tekrarları ile sağlanan ahenk ve ritim olarak üç ana başlık altında inceledik. Şeyhülislam Yahya’nın, kullandığı nazım şekillerinde - özellikle gazellerinde - dile hakim olduğu yapmacıksız, sade ve basit bir üslûp ile Türkçeyi başarıyla kullandığı görülmektedir. Şeyhülislam Yahya’da ahenk kuru bir ses topluluğundan ibaret değildir. Anlamla sesin bir potada eritilerek armoninin yakalandığı aşikârdır. Şeyhülislam Yahya, “neyi anlattığın değil nasıl anlattığın” önemli olduğu bir şiir geleneğine iz bırakmış bir şairdir. Şiirde her cümle bir musiki cümlesidir. Bu musikiyi ortaya çıkaran seslerdir. Şeyhülislam Yahya, Divanı’nda bu ses unsurunu başarılı bir şekilde kullanmıştır. Fakat bu ses unsuru anlamdan bağımsız değildir. Sesle anlam arasında ilgi kurmuş, şiirini hem yapı hem de mana üzerine inşa etmiştir. Bunu yaparken “üst şiir dili” nden faydalanmış şiirlerini sembollerle ifade etmiştir. Bundan dolayı zaman zaman yanlış anlaşılmış küfürle itham edilmiştir. Yahya Efendi’nin şiirlerini anlamak için kullandığı sembollerin söz varlığına bakmak gerekir. Aksi takdirde şiirlerini yanlış anlayıp yorumlayabiliriz.
A Case Of Pulmonary Aspergillosis in a 20-day Old Suckling Lamb
Authors: KURTBAŞ Emre , KARAKURT Emin , BÜYÜK Fatih , BEYTUT Enver , DAĞ Serpil , COŞKUN Mustafa Reha , NUHOĞLU Hilmi , BÜYÜK Eray
Published: September 2021

In this study, a case of pulmonary aspergillosis was described in a 20-day-old suckling lamb. Lamb suffering from high fever, anorexia, weakness and balance disorder was brought to the Department of Pathology of Kafkas University Faculty of Veterinary Medicine for necropsy. According to the anamnesis obtained from the animal owner, an intense and random drug treatment was administered to the animal. Following the systemic necropsy of the animal, various tissue samples were taken from for histopathological and microbiological analysis. On macroscopic examination, a yellowish-white colored focus in a diameter of 2x2 mm was detected in only one area of the animal's lung. Histopathological examinations revealed a granuloma in the lung. In the center of this granuloma, in addition to severe necrosis, neutrophils and fungal hyphae were detected. In the PAS staining of the lung tissue, it was noted that these hyphae took the stain and gave a positive reaction in terms of fungus. Ziehl-Neelsen staining of the lung and liver tissues revealed that these tissues were negative for tuberculosis. As a result of histopathological and microbiological analysis, this case, which is rarely seen in dairy lambs, was diagnosed as pulmonary aspergillosis.
PERFORMANCE ANALYSIS OF NOISE REMOVAL TECHNIQUES FOR FACIAL IMAGES- A COMPARATIVE STUDY
Authors:   DAVV, Indore, Jain Anshika , Ingle Maya
Published: September 2021

Image de-noising has been a challenging issue in the field of digital image processing. It involves the manipulation of image data to produce a visually high quality image. While maintaining the desired information in the quality of an image, elimination of noise is an essential task. Various domain applications such as medical science, forensic science, text extraction, optical character recognition, face recognition, face detection etc. deal with noise removal techniques. There exist a variety of noises that may corrupt the images in different ways. Here, we explore filtering techniques viz. Mean filter, Median filter and Wiener filter to remove noises existing in facial images. The noises of our interest are namely; Gaussian noise, Salt & Pepper noise, Poisson noise and Speckle noise in our study. Further, we perform a comparative study based on the parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structure Similarity Index Method (SSIM). For this research work, MATLAB R2013a on Labeled faces in Wild (lfw) database containing 120 facial images is used. Based upon the aforementioned parameters, we have attempted to analyze the performance of noise removal techniques with different types of noises. It has been observed that MSE, PSNR and SSIM for Mean filter are 44.19 with Poisson noise, 35.88 with Poisson noise and 0.197 with Gaussian noise respectively whereas for that of Median filter, these are 44.12 with Poisson noise, 46.56 with Salt & Pepper noise and 0.132 with Gaussian noise respectively. Wiener filter when contaminated with Poisson, Salt & Pepper and Gaussian noise, these parametric values are 44.52, 44.33 and 0.245 respectively. Based on these observations, we claim that the Median filtering technique works the best when contaminated with Poisson noise while the error strategy is dominant. On the other hand, Median filter also works the best with Salt & Pepper noise when Peak Signal to Noise Ratio is important. It is interesting to note that Median filter performs effectively with Gaussian noise using SSIM.
ENHANCED APPROACH FOR SOIL CLASSIFICATION USING BOOSTED C5.0 DECISION TREE ALGORITHM
Authors:   Nehru Arts and Science College, (Autonomous), Coimbatore Tamil Nadu, India., Seethapathy Senthil Kumar , Babu C.Naveeth
Published: September 2021

Data mining includes the utilization of erudite data analysis tools to discover previously unidentified, suitable patterns and relationships in enormous data sets. Data mining tools can incorporate statistical models, machine learning methods such as neural networks or decision trees, and mathematical algorithms. As a result data mining comprises of more process. This performs analysis and prediction than collecting and managing data. The main objective of data mining is to identify valid, potentially useful, novel and understandable correlations and patterns in existing data. Finding and analyzing useful patterns in data is known by different names (e.g., knowledge extraction, information discovery, information harvesting, data archaeology, and data pattern processing). The term data mining is basically utilized by statisticians, database researchers, and the business communities.
HYBRID RECOMMENDATION SYSTEM FOR BETTER MINING RULES GENERATION OF USER AND CONSUMER DATA
Authors:   Dr. A.P.J. Abdul Kalam University, Indore, Gupta Gaurav , Dattatrya Newase Atul
Published: September 2021

In today’s world Data and information playing an important role in each field including online and software data. However, it is very difficult task to abstract & sorted consumer data for use. To solve this data overloading and sorting of useful data a Hybrid Recommendation System (HRS) comes into existence. The focus of HRS is to suggest the best applicable and useful items to the related customers or user. The recommendations can be applied to decision-making processes, like which types of things to get, which new videos to watch to, which online latest games and software to search, or which is the best product among all. The benefits of Hybrid Recommendation System persist on quality efficiency of the system. The efficient things can be calculated in the forms of easy to use, reliable accurate and expandable. The main goal of this proposed HRS is to better mining rules based on user and consumer data to improve the accuracy of Hybrid Recommendation System.
CONTRIBUTION OF AI TO THE CONSTRUCTION WORLD
Authors:   Jayoti Vidyapeeth Women’s University Jaipur, India, Kumar Kanhaiya , Kumari Muskan
Published: September 2021

Artificial intelligence is a department of computer science and information technological know-how, involved in the research, layout, and application of intelligent computer. Conventional techniques for modeling and optimizing complicated structure systems require big amounts of computing assets, and artificial-intelligence-primarily based solutions can frequently provide treasured alternatives for successfully solving problems inside the civil engineering. This paper summarizes currently evolved methods and theories within the growing path for programs of synthetic intelligence in civil engineering, such as evolutionary computation, neural networks, fuzzy systems, professional machine, reasoning, type, and learning, in addition to others like chaos theory, cuckoo seek, firefly algorithm, know-how-based engineering, and simulated annealing. The primary studies tendencies are also talked about in the end. The paper presents an overview of the advances of synthetic intelligence carried out in civil engineering.
SIGNIFICANT ROLE OF AI & ML TECHNIQUES USED IN IMPROVEMENT OF CYBER SECURITY
Authors:   Jayoti Vidyapeeth Women’s University, Jaipur, Kumari Muskan
Published: September 2021

Cyber Security has become an arising challenge for business information system in current era. AI (Artificial Intelligence) is broadly utilized in various field, however it is still generally new in cyber security. Nonetheless, the applications in network protection are significant for everybody`s day by day life. In this paper, we present the current status of AI in cyber security field, and afterward portray a few contextual investigations and uses of AI to help the community including engineering managers, teachers, educators, business people, and understudies to more readily comprehend this field, for example, the difficulties and uncertain issues of AI in online protection. According to the new challenges, the expert community has two main approaches: to adopt the philosophy and methods of Military Intelligence, and to use Artificial Intelligence methods for counteraction of Cyber Attacks. Cyber security is a vital danger for any business as the quantity of attacks is expanding. Developing of attacks on cyber security is undermining our reality. AI (Artificial Intelligence) and ML (Machine Leaning) can help identify dangers and give proposals to cyber Analyst. Advancement of appropriation of AI/ML applied to cyber security requires banding together of industry, the scholarly community, and government on a worldwide scale. We also discuss future research opportunities associated with the development of AI techniques in the cyber security ?eld across a scope of utilization areas.
Evaluation of the spectrum of therapeutic activity of a complex phytopreparation in children and adolescents with emotional-behavioral disorders
Authors: Пекониди А.В. , Вострокнутов Н.В.
Published: September 2021

Статья посвящена современным подходам к комплексному лечению детей с эмоционально-поведенческими проблемами, высоким уровнем психомоторного беспокойства с повышенной поведенческой активностью, ситуационной тревожностью, психосоматическими расстройствами преимущественно со стороны кожной и дыхательной систем, а также низким уровнем социального адаптирования, что проявляется в снижении школьной успеваемости и трудностях в межличностных отношениях. В исследовании приняло участие 60 детей из семей социального риска с высоким уровнем внутрисемейного стресса, получавших консультативно-диагностическую и социореабилитационную помощь в Центре социально-психологической помощи семье (г. Москва). В соответствии с принятой в России периодизацией, а также с учетом психоэмоционального статуса и социального функционирования обследованные дети разделены на следующие подгруппы – дети дошкольного возраста от 4 до 6 лет включительно (12 человек); от 7 до 11 лет (16 человек) и 12–16 лет дети (32 человека). Группа детей малолетнего возраста до 11 лет составила 28 человек (средний возраст 7,8 года); группа подростков составила 32 человека (средний возраст 13,5 года). Динамика состояния оценивалась на 7/14/28/56 дни наблюдения, параллельно с проводимыми социотерапевтическими мероприятиями. В ходе исследования получены данные, свидетельствующие о том, что курсовая длительная (не менее двух месяцев) терапия детей и подростков с эмоционально-поведенческими расстройствами, характеризующимися доминированием тревожного «избегающего» поведения, приводит к повышению субъективного самочувствия, нормализации настроения с уменьшением эмоциональной лабильности и снижением тревожности. Случаев выявления противопоказаний в процессе терапии не наблюдалось.
MENINGKATKAN KEMAMPUAN SISWA BERBICARA BAHASA INGGRIS MENGGUNAKAN VIDEO YOUTUBE DI SMKN 1 TANJUNG PALAS
Authors: MUKTI DWI HARTATIK HANDAYANI
Published: September 2021

Mata Pelajaran Bahasa Inggris telah menjadi salah satu bagian dari kurikulum yang telah ditetapkan. Dengan berkembangnya teknologi yang semakin pesat, Bahasa Inggris juga merupakan salah satu soft skill yang dibutuhkan di era global saat ini. Namun permasalahannya tidak semua pelajar dapat menggunakan Bahasa Inggris dengan baik dan lancar. Youtube adalah salah satu media pembelajaran yang bisa digunakan dalam melatih kemampuan siswa untuk berbicara Bahasa Inggris yang sering dianggap sulit oleh siswa. Tujuan penelitian ini adalah untuk melihat sejauh mana Youtube mampu meningkatkan kemampuan siswa untuk berbicara Bahasa Inggris dengan baik dan lancar.
PENINGKATAN KEMAMPUAN KETERAMPILAN SALAH SATU PERMAINAN BOLA BESAR (BOLA VOLI) SISWA KELAS XI IPS 1 SMA NEGERI 1 DAWARBLANDONG MOJOKERTO DENGAN MENGGUNAKAN METODE SIMULASI TAHUN PELAJARAN 2019/2020
Authors: PURWANTO KUSNO
Published: September 2021

Keberhasilan suatu pendidikan jasmani olahraga dan kesehatan dipengaruhi besar oleh adanya metodelogi pembelajaran yang kreatif dan bervariasi. Banyak jenis metode pembelajaran yang digunakan agar dapat meningkatkan hasil belajar siswa, akan tetapi pada kenyataan dan praktik di lapangan, masih banyak siswa yang masih belum memahami materi yang telah disampaikan oleh guru. Untuk itu diperlukan suatu metode pembelajaran yang lain dalam rangka meningkatkan kemampuan dan keterampilan siswa untuk mencapai hasil belajar yang optimal. Begitupun fenomena yang terjadi di kelas XI IPS 1 SMA Negeri 1 Dawarblandong Mojokerto tahun pelajaran 2019/2020 masih banyak siswa yang belum memahami materi salah satu permainan bola besar (bola voli) sehingga dibuktikan dengan hasil belajar yang tergolong rendah. Oleh sebab itu penelitian ini dilakukan berdasarkan rumusan masalah bagaimana peningkatan kemampuan dan keterampilan salah satu permainan bola besar (bola voli) siswa kelas XI IPS 1 SMA Negeri 1 Dawarblandong Mojokerto dengan menggunakan metode simulasi tahun pelajaran 2019/2020. Metode penelitian yang digunakan peneliti, yaitu penelitian tindakan kelas (PTK) dengan pendekatan deskriptif kualitatif. Jenis penelitian tindakan kelas dilaksanakan sebanyak 2 siklus. Adapun rincian dari tiap siklus sebagai berikut: (1) perencanaan; (2) tindakan penelitian; (3) pengamatan; dan (4) refleksi, Hasil dari diskusi tiap siklus menjadi rujukan untuk memperbaiki kegiatan pembelajaran pada tahapan berikutnya. Hasil Penelitian, menunjukkan dari hasil observasi awal atau hasil pra siklus ketuntasan belajar siswa pada kemampuan pengetahuan dan praktik keterampilan hanya 32,35% meningkat menjadi 55,88% pada siklus I, sehingga diperlukan tindak lanjut pada siklus II dan pada siklus II ini mengalami peningkatan signifikan sebesar 88,23%. Hal ini menunjukkan bahwa pada siklus II ini sudah mencapai dan melebihi ketentuan yang teklah ditetapkan oleh sekolah yaitu ketuntasan belajar siswa yaitu 80%. Dapat dikatakan, penggunaan metode simulasi pada pembelajaran permainan bola besar (bola voli) terbukti mengalami peningkatan yang signifikan terhadap hasil belajar siswa sehingga mencapai ketuntasan yang optimal dan dapat mencapai ketentuan yang telah ditetapkan oleh sekolah.
AS METODOLOGIAS ATIVAS E O SEU IMPACTO NO ESPAÇO ENSINO APRENDIZAGEM ATRAVÉS DAS MÍDIAS
Authors: Catallani Maria Isabel da Luz , Silveira Thayna Fernanda da , Ortin Sileno Marcos Araújo , Roberto Tiago Moreno Lopes
Published: September 2021

O objetivo deste artigo é demonstrar a partir de pesquisas bibliográficas aspectos relevantes de como utilizar os recursos disponíveis na prática sobre as metodologias ativas de aprendizagem sob o olhar docente em relação à postura dos profissionais da educação mediante as novas tecnologias digitais. Entende-se que não basta somente conhecer as tecnologias, é preciso também aplicá-las de forma instrutiva e inclusiva nas propostas pedagógicas. A internet, por exemplo, está mudando o mundo. Com ela é possível realizar diversas atividades. O estudo, as pesquisas, as atualizações com os descobrimentos científicos e a transmissão de notícias são algumas das atividades que se pode fazer por meio da rede internacional de computadores. Justifica-se que os avanços tecnológicos e o acesso à informação são muito rápidos e é nessa sociedade do conhecimento/aprendizagem/informação que as crianças estão inseridas e recebem diariamente destas tecnologias de uma quantidade imensurável de informações, as quais precisam ser processadas e filtradas. A metodologia utilizada é a pesquisa exploratória, alicerçada por uma pesquisa bibliográfica baseada em periódicos científicos e livros que versam sobre o assunto objeto de pesquisa. Como toda sociedade está amparada pelas Tecnologias de Informação, gradativamente elas estão ganhando espaço nas escolas e a perspectiva é que fiquem e colaborem para a construção de uma educação com ação integradora e colaborativa, propiciando uma grande desenvoltura no processo de ensino aprendizagem.
MECANISMOS DE VIRULÊNCIA DO SARS-COV-2 E AS COMPLICAÇÕES NO PROGNÓSTICO DE PACIENTES COM DIABETES MELLITUS: UMA REVISÃO DE LITERATURA
Authors: Britto Fabiana Santana , Santos Mayara Conceição dos , Conceição Klleyza Santos , Izabel Tasciano dos Santos Santa , Carneiro Danrley Oliveira
Published: September 2021

Introdução: As infecções humanas por Coronavírus são conhecidas há décadas, em específico, a Síndrome Respiratória Aguda Grave (SARS) e a Síndrome Respiratória do Oriente Médio (MERS). Entretanto, a partir de 2019, um novo coronavírus denominado de SARS-CoV-2 foi disseminado por vários países, tomando uma proporção sem precedentes. A partir disso, com o aumento no número de infectados e mortos em diferentes continentes, resultantes da epidemia em Março de 2020 a Organização Mundial da Saúde OMS decretou oficialmente que o surto da doença tratava-se de uma pandemia de caráter mundial. Objetivo: Realizar uma revisão de literatura acerca dos mecanismos de virulência do SARS-Cov-2, bem como as suas complicações acerca do prognóstico de pacientes portadores de Diabetes Mellitus. Metodologia: Foram realizadas buscas bibliográficas eletrônicas utilizando descritores previamente selecionados nas bases de dados Pubmed, Lilacs e Scielo que abordassem o tema proposto publicados no período de 2010 a 2021. Resultados: Foram selecionados 08 artigos e os achados dos estudos demonstraram que o SARSCoV-2 gera diversas consequências nos pacientes com DM, uma vez propicia um ambiente inflamatório que resulta em infecções severas e de difícil tratamento. Conclusão: Portanto, pode-se verificar que a inflamação metabólica provocada pelo SARS-CoV-2 resulta em repercussões negativas no prognóstico de paciente portador de DM, dificultando assim, o processo de cura e recuperação do indivíduo, levando-o este a um pior desfecho.
SEXUALIDADE PRECOCE: UMA AÇÃO PEDAGOGICA NO ÂMBITO ESCOLAR E FAMILIAR
Authors: Vital Márcia Gomes Inácio
Published: September 2021

RESUMO- O objetivo desse artigo é trazer definições do que é sexo e sexualidade, fazer uma reflexão sobre a sexualidade precoce e suas consequências, e quais tipos de prevenções devem ser feita. Conscientizar adolescentes e pais sobre a sexualidade precoce com uma ação educadora e preventiva no contexto escolar e familiar, pois é uma fase de descoberta para o adolescente e é fundamental a participação dos pais e da escola nesse processo. Para esse trabalho foi utilizado pesquisa bibliográfica em livros, artigos e outros. Como recursos para a pesquisa de campo serão feitas entrevistas com alunos em uma determinada escola. Para fundamentar este artigo foi recorrido a alguns autores como Bearzoti(2018), Belisse (2008), Beraldo(2003), Carneiro(2015), Freud(1937-1939), Gomes(2013), Maia(2010), Simões(2012), Souza(1999), entre outros.
Estimation of the observation standard deviation error formula thanks to the a posteriori diagnosis
Authors: Van Hyfte Stéphane , Le Moigne Patrick , Bazile Eric , Verrelle Antoine
Published: September 2021

Within the UERRA project, a daily precipitation reanalysis at a 5,5km resolution has been realized from 1961 to 2015. The reanalysis was obtained by the MESCAN analysis system which combines an a priori estimate of the atmosphere – called background – and observations using an optimum interpolation (OI) scheme. Such method requires the specification of observations and background errors. In general, constant standard deviation errors are used but more errors are made when high precipitation are observed. Then, to take this effect into account and to avoid a model over-estimation in case of light precipitation, a variable formula of the observation standard deviation error was purposed with a small value for null precipitation and greater values when precipitation are higher, following a linear equation.

 Desroziers et al proposed a method to determine observations and background errors called a posteriori diagnosis. To use this iterative method, the analysis has to be ran several times until it converged. In this study, the a posteriori diagnosis is used per precipitation class to determine the observation standard deviation error formula. MESCAN was tested using the French operational model AROME at 1,3km resolution and the atmopsheric UERRA analysis downscaled to 5,5km background and combined to the French observational network over the 2016-2018 period. The observation standard deviation error formula obtained by the a posteriori diagnosis is then used in the MESCAN analysis system to produce precipitation analysis over the 2016-2018 period. Results are compared to UERRA precipitation reanalysis over independant observations by comparing bias, RMSE and scores per precipitation class.
FOCSE: CNES Exploration contributions for Operations and Innovation
Authors: Jocteur Monrozier Francois , Barde Sébastien , Barroso Thérèse , Lorda Laurence , Blouvac Jean
Published: September 2021

In 2017, CNES has enforced its visibility and ambitions in Scientific exploration programs by creating the FOCSE (French Operations Centre for Science and Exploration) center. FOCSE groups all the Science Operations activities, including ground segment development, operations and data valorization for the domains involved in the Scientific exploration including Astrophysics & Fundamental Physics, Planets, Small bodies & Solar Physics and Human Spaceflight (Nutrition, Healthcare, Life Science, …). This gives an advantage increasing synergy and commonalities between the different missions and allowing operational people to focus only on what makes each mission original and specific. FOCSE integrates the CADMOS Centre created in 1993, the COMS (Planets Mission centers), Astronomy & Solar systems mission in order to implement a synergetic merge of science in astronomy, solar systems, microgravity and space exploration (robotic and manned). As an example of synergy, we will present the FOCSE Moons & small bodies facility that will be set up for Cubesats activities within the frame of ESA’s planetary defense HERA mission and also in support to JAXA’s MMX mission. This effort will capitalize on our expertise based on our contributions to Rosetta/Philae and Hayabusa2/Mascot on Mission Analysis and visualizing tools to support Scientific activities. We will also present the Spaceship project that has started in coordination with ESA to contribute to the development of technologies for exploration. More recently, CNES proposes to set up a new innovation Lab facility, based on an immersive and open facility for innovation on exploration technologies. Technologies of interests have been identified and will be developed with our partners and also with new actors, in order to allow dynamic spin in and spin off approaches for Exploration technologies. Thanks to this new facility, CNES will provide technical means to create new, innovative, disruptive systems, gather assets from Research, Universities and Industries (from startup to large industrial group) into the same melting-pot, foster collaboration between partners and CNES experts in all space sciences/technologies and operations and join international network of spaceships. The CNES roadmap on Science is defined, the Technological part of this roadmap will be expanded with new Technological opportunities. The proposed paper will present an overview of the CNES strategy and how we implement it on a kind of “DevOps” approach to accelerate and innovate as much as possible, including also a digital factory platform, with the main idea to federate to the network of French Exploration actors (means and expertise) to enforce synergies with ESA and international partners in order to contribute to future Exploration missions. 
Inverse modeling of turbidity currents using an artificial neural network approach: verification for field application
Authors: Naruse Hajime , Nakao Kento
Published: September 2021

Abstract. Although in situ measurements in modern frequently occurring turbidity currents have been performed, the flow characteristics of turbidity currents that occur only once every 100 years and deposit turbidites over a large area have not yet been elucidated. In this study, we propose a method for estimating the paleo-hydraulic conditions of turbidity currents from ancient turbidites by using machine learning. In this method, we hypothesize that turbidity currents result from suspended sediment clouds that flow down a steep slope in a submarine canyon and into a gently sloping basin plain. Using inverse modeling, we reconstruct seven model input parameters including the initial flow depth, the sediment concentration, and the basin slope. A reasonable number (3500) of repetitions of numerical simulations using a one-dimensional layer-averaged model under various input parameters generates a dataset of the characteristic features of turbidites. This artificial dataset is then used for supervised training of a deep-learning neural network (NN) to produce an inverse model capable of estimating paleo-hydraulic conditions from data on the ancient turbidites. The performance of the inverse model is tested using independently generated datasets. Consequently, the NN successfully reconstructs the flow conditions of the test datasets. In addition, the proposed inverse model is quite robust to random errors in the input data. Judging from the results of subsampling tests, inversion of turbidity currents can be conducted if an individual turbidite can be correlated over 10 km at approximately 1 km intervals. These results suggest that the proposed method can sufficiently analyze field-scale turbidity currents.
AN APPLICATION DOMAIN EXTENSION FOR STORING VALIDATION RESULTS OF CITYGML STRUCTURES
Authors: Betz M. , Coors V.
Published: September 2021

Abstract. With the increase of applications using 3D models as base for visualization or simulation the requirements for having valid models rises. While there are many programs that validate models there is no standard for storing the results. The simulation programs also may implement their own validation checking to verify if a model can be simulated which may be error prone or not extensive enough for their purpose. This paper provides an extension for the CityGML format to store the validation result. With the available validation information software using the extension can improve their process of working with models containing errors. CityGML model manufacturers may also improve their creation process of the model as well as deliver them validated.