bluuebunny/crossref_metadata_2025 huggingface dataset:
role and status of drama in spiritual and material culture
Authors: Qi Mengrui
Published: November 2021

The relevance of the work is determined by the fact that the full development of society is possible only on the condition that dramatic changes occur in it. The basis for changes in any society is both culture and the motives that flow into culture in order to realise the factors of social formation as much as possible. We believe that culture and its development are possible if there are phenomena in society when an individual rethinks each aspect of his being. Consequently, the role of drama not only as an artistic device in literature, but also as a social phenomenon, has its own direction and significance for a number of projects for the development of both the individual and the social environment as a whole. The novelty of the study is the assertion that each aspect of the implementation of the drama forms, first of all, a response phenomenon that fully manifests itself both in the course of personal experience and in the formation of individual forms of material culture. The authors of the article show the way to form attitude to spiritual and material cultures on the basis of personal dramatic experience.
Interdisciplinary communication in pianists’ education: experience from M. Hlinka Dnipropetrovsk academy of music
Authors: Lysenko Yanina , Korotenko Dariia , Martynyuk Tetyana , Tkachenko Olena , Vlasenko Eleonora
Published: November 2021

In modern social conditions, the demand of formation of a new generation of teachers is raising. The problem of interdisciplinary communication in the field of musical-pedagogical preparation of specialists is of particular interest since new organizational and methodological forms, theoretical and practical research are not used enough in the educational process. The authors conducted a study on the issues of professional and conceptual foundations of pianists’ education on the example of M. Hlinka Dnipropetrovsk Academy of Music. The concept of interdisciplinary communication was defined. Vocational and pedagogical skills and pianist skills that are formed due to the interconnection of the disciplines of the historical-pedagogical cycle were characterized. The tasks that contribute to ensuring the effectiveness of the results of pianists’ educational process in M. Hlinka Dnipropetrovsk Academy of Music were identified and main pedagogical principles were outlined.
influence of sports disciplines on the development of key competencies of future physical education teachers
Authors: Kondratska Galyna D. , Voloshyn Olena R. , Prots Roman O. , Kopko Iryna Ie. , Stets Valentyna I.
Published: November 2021

The reform of primary school education caused significant changes in the trajectories of the physical education. This study was aimed at identifying the ways of forming professional competencies among students as an indicator of the quality of knowledge. During the research, the following methods were used: the analysis of literature sources, laws and regulations, normative documentation, analysis, design, modeling, survey, observation, generalisation of pedagogical experience of specialists. The authors developed scientific and methodological material regarding the problem of the formation of professional competencies among students. The ways of formation of professional competencies among students were revealed. The effectiveness of the proposed approaches to the formation of professional competencies as an indicator of the quality of students’ knowledge was checked. Methodical materials and practical tasks that contain recommendations which will help teachers to create an educational environment, provide various forms of integrated learning, involve families of children in pedagogical interaction, evaluate their own practice, monitor student development were developed.
Activating the cognitive learning activity through “Dead” case
Authors: Vitchenko Andrii O. , Vitchenko Anastasiia Yu. , Izhutova Iryna V. , Aleksandrova Loryna G. , Romaniuk Viktoriia L.
Published: November 2021

The authors investigated technologization of educational process in high school and formation of interactive communicative environment for professionally oriented learning. Analysis of the problems of cases use in modern teaching practice was conducted. Methods of questionnaires, empirical data generalization, theoretical analysis of case study, justification of approaches to its technological effectiveness, “dead case”, findings generalization, defining prospects of further problem consideration were used. The authors identified the features of case study technological implementation and developed the “dead” case-based study algorithm for development of future lecturers’ professional skills. The conditions of the effective use of case technology in high school were defined. The authors proved the integral character of the case technology.
Teaching mathematics in ‘different tongues’
Authors: Bacolod-Iglesia Aina Bael , Dundain Hangeline Habibulla , Vegare-Miñoza Manilyn , Casimiro Arvin Barretto
Published: November 2021

Language choice in teaching mathematics is a legitimate area of concern. It is noted that tension exists in classrooms where mathematics is taught in a language different from the first language spoken by the learners (Martínez & Dominguez, 2018). It is then a logical supposition to make that if students in mathematics classes are taught and tested in a language that is not their native their scores and proficiency levels may not be a true measure of their abilities, but a reflection of their mastery of the language used as medium of instruction (Haag, Heppt, Stanat, Kuhl & Pant, 2013). Against this contention, this study is conducted to determine the mathematics proficiency and anxiety of students learning mathematics across different local languages. In addition, the study analyzed whether significant differences exist in the investigated variables across gender. The study disclosed interesting results which were discussed herein.
Experience in rural labor restructuring in some countries around the world and reference lessons for Vietnam
Authors: Truong Doan Van
Published: November 2021

Promote restructuring of rural workers has very important implications in the development of the potentials and strengths of the economy. Vietnam is a country with a starting point from agriculture, a large proportion of GDP. In recent years, although there has been a positive change in transformation, the process is still slow. To have a reasonable labor structure shortly, Vietnam can completely refer to the experience of several countries in the world with similar starting points. The article analyzes lessons learned from rural labor restructuring in some countries around the world, from which to draw reference lessons for Vietnam.
value of village convention in educating traditions of culture, morality and lifestyle for Vietnamese people in the feudal period
Authors: Loi Le Van
Published: November 2021

Village convention is a code of conduct that is considered a model, which is voluntarily agreed, drafted, promulgated by the traditional Vietnamese rural communities, and takes effect within a residential area, usually a village or a commune, used as a measure of dignity, personality and adjustment of social relations in the life, production and labor of the communities. In the process of existence and development, the village convention has experienced many ups and downs in history and has been handed down by the Vietnamese communities for many generations. The article summarizes the process of formation, basic content and value of village convention in the education of traditions of culture, morality and lifestyle for Vietnamese people in the feudal period and makes recommendations for inherit and promote those values in Vietnamese society today.
National Standards of Education affect the employment opportunities of vocational high school graduates
Authors: Andriansyah Eka Hendi , Kamalia Putri Ulfa
Published: November 2021

This study aims to find out the National Standard of Education indicators that are the most dominant in influencing vocational schools, especially in producing the expected outcomes. The research is aimed at vocational schools in the field of economics and finance in the city of Surabaya. The data collection includes NSE assessment data from BAN-SM and employment opportunities from 22 schools. The object of further research is processed with the WARP PLS program. The study results found that there is a variable signification between the National Standard of Education on Employment Opportunities of Vocational School Graduates. Positive influence indicates that the higher/better the National Standard of Education, the higher/improved the outcome of Vocational School Graduates. Based on the results of the analysis indicator, the study found the NSE 8 indicator is the Education Assessment Standard which has the highest component weight value that indicates that the NSE's institutions are most important in producing graduates who are absorbed in the workforce. Then, the second-highest order is the NSE's indicative 2 and 1, namely process and content standards. The indicator with the lowest value is the indicative standard educators and educational personnel and facilities and infrastructure standard.
Noncontact Sleep Monitoring With Infrared Video Data to Estimate Sleep Apnea Severity and Distinguish Between Positional and Nonpositional Sleep Apnea: Model Development and Experimental Validation (Preprint)
Authors: Akbarian Sina , Ghahjaverestan Nasim Montazeri , Yadollahi Azadeh , Taati Babak
Published: November 2021

BACKGROUND

Sleep apnea is a respiratory disorder characterized by frequent breathing cessation during sleep. Sleep apnea severity is determined by the apnea-hypopnea index (AHI), which is the hourly rate of respiratory events. In positional sleep apnea, the AHI is higher in the supine sleeping position than it is in other sleeping positions. Positional therapy is a behavioral strategy (eg, wearing an item to encourage sleeping toward the lateral position) to treat positional apnea. The gold standard of diagnosing sleep apnea and whether or not it is positional is polysomnography; however, this test is inconvenient, expensive, and has a long waiting list.

OBJECTIVE

The objective of this study was to develop and evaluate a noncontact method to estimate sleep apnea severity and to distinguish positional versus nonpositional sleep apnea.

METHODS

A noncontact deep-learning algorithm was developed to analyze infrared video of sleep for estimating AHI and to distinguish patients with positional vs nonpositional sleep apnea. Specifically, a 3D convolutional neural network (CNN) architecture was used to process movements extracted by optical flow to detect respiratory events. Positional sleep apnea patients were subsequently identified by combining the AHI information provided by the 3D-CNN model with the sleeping position (supine vs lateral) detected via a previously developed CNN model.

RESULTS

The algorithm was validated on data of 41 participants, including 26 men and 15 women with a mean age of 53 (SD 13) years, BMI of 30 (SD 7), AHI of 27 (SD 31) events/hour, and sleep duration of 5 (SD 1) hours; 20 participants had positional sleep apnea, 15 participants had nonpositional sleep apnea, and the positional status could not be discriminated for the remaining 6 participants. AHI values estimated by the 3D-CNN model correlated strongly and significantly with the gold standard (Spearman correlation coefficient 0.79, P<.001). Individuals with positional sleep apnea (based on an AHI threshold of 15) were identified with 83% accuracy and an F1-score of 86%.

CONCLUSIONS

This study demonstrates the possibility of using a camera-based method for developing an accessible and easy-to-use device for screening sleep apnea at home, which can be provided in the form of a tablet or smartphone app.
Visualizing Knowledge Evolution Trends and Research Hotspots of Personal Health Data Research: Bibliometric Analysis (Preprint)
Authors: Gong Jianxia , Sihag Vikrant , Kong Qingxia , Zhao Lindu
Published: November 2021

BACKGROUND

The recent surge in clinical and nonclinical health-related data has been accompanied by a concomitant increase in personal health data (PHD) research across multiple disciplines such as medicine, computer science, and management. There is now a need to synthesize the dynamic knowledge of PHD in various disciplines to spot potential research hotspots.

OBJECTIVE

The aim of this study was to reveal the knowledge evolutionary trends in PHD and detect potential research hotspots using bibliometric analysis.

METHODS

We collected 8281 articles published between 2009 and 2018 from the Web of Science database. The knowledge evolution analysis (KEA) framework was used to analyze the evolution of PHD research. The KEA framework is a bibliometric approach that is based on 3 knowledge networks: reference co-citation, keyword co-occurrence, and discipline co-occurrence.

RESULTS

The findings show that the focus of PHD research has evolved from medicine centric to technology centric to human centric since 2009. The most active PHD knowledge cluster is developing knowledge resources and allocating scarce resources. The field of computer science, especially the topic of artificial intelligence (AI), has been the focal point of recent empirical studies on PHD. Topics related to psychology and human factors (eg, attitude, satisfaction, education) are also receiving more attention.

CONCLUSIONS

Our analysis shows that PHD research has the potential to provide value-based health care in the future. All stakeholders should be educated about AI technology to promote value generation through PHD. Moreover, technology developers and health care institutions should consider human factors to facilitate the effective adoption of PHD-related technology. These findings indicate opportunities for interdisciplinary cooperation in several PHD research areas: (1) AI applications for PHD; (2) regulatory issues and governance of PHD; (3) education of all stakeholders about AI technology; and (4) value-based health care including “allocative value,” “technology value,” and “personalized value.”
Does feedback from activity trackers influence physical activity? Evidence from a randomized controlled trial (Preprint)
Authors: Kapteyn Arie , Saw Htay-Wah , Darling Jill
Published: November 2021

BACKGROUND

Despite their popularity of Physical Activity (PA) tracking devices, studies rigorously examining the efficacy of wearables and feedback effect independent of other behavioral and educational interventions in promoting PA have been limited.

OBJECTIVE

To estimate the causal and independent effect of feedback provided by a commercial activity tracker.

METHODS

We designed an experimental longitudinal study in which we asked our study participants to wear: (1) a device that provided feedback for 7-consecutive days; (2) a device that provided no feedback for 7 consecutive day; (3) both devices for 2 consecutive days. We randomized half the sample to either wear the feedback device or the non-feedback device for the first 7 days. At the end of each study day, participants also completed a short survey online where they shared and reported their own experience participating in the study.

RESULTS

We find that participants accumulated an additional 530 steps in a given day when they wore Fitbit, which provided feedback, compared to a day when they wore GENEActiv, which didn’t provide feedback (P < .001). Given that study participants accumulated 7,560 steps/day on average, the increase in PA due to feedback represented a 7% increase in daily PA.

CONCLUSIONS

The use of wrist-worn PA trackers providing feedback as a standalone intervention tool is effective in increasing daily PA of older US adults aged 50 and above. Wearables-measured PA together with self-reports of PA offer the best approach to diagnosing population PA and sedentary behavior.

CLINICALTRIAL

Name of the registry: https://www.socialscienceregistry.org
Registration number: AEARCTR-0007831 (Please note that our experiment was not a typical medical trial)
Blockchain Technology and Sleep Medicine (Preprint)
Authors: Roland Joshua
Published: November 2021

UNSTRUCTURED

Blockchain is an innovative decentralized ledger-based technology that was invented in 2008. Initial utilization was developed for the cryptocurrency bitcoin, but the utility of the technology extends well beyond just that of currency. Much of the value of blockchain exists in the revolutionary ability to transmit and validate data without a third party. Blockchain has significant room for utility in healthcare as a whole, with most of its potential still being very much untapped with the technology still in its incipience. Sleep medicine is an area of medicine that is particularly primed for implementation of blockchain, being a field immensely reliant on data transmission from technology in the form of sleep diagnostics, sleep-related consumer technologies, and therapeutic devices for clinical care to optimally function. Data exchange and entry points for logistics of diagnosis and management of sleep disorders is often fairly profuse and involving multiple parties, making blockchain technology particularly advantageous. Blockchain, like any technology, is not without its limitations, and more research and development is needed before it can be integrated to its potential. However, in blockchain exists the prospect of revolutionizing the way patients’ data interacts with the healthcare system as a whole as well as adjunctive systems which aid in conducting clinical care.
Usage of Mobile Apps to support Active Transportation: Scoping Review (Preprint)
Authors: Siriaporn Nuttanun , de Nazelle Audrey , Maignant Gilles , Staccini Pascal , Vuillemin Anne
Published: November 2021

BACKGROUND

The World Health Organization recommends 150-300 minutes of physical activity per week to lower health risks caused by sedentary behavior. Incorporating active transport (AT), non-motorized methods of transportation like walking and cycling, into daily life is an efficient way for individuals to reach recommended levels of physical activity. Active transportation can also improve the environment by reducing pollution emission when people make a switch from personal motorized vehicles. Smartphones have been explored as a tool to deliver health interventions through mobile apps, especially in the field of behavior change in weight loss and physical activity.

OBJECTIVE

This study sought to explore the extent of the usage of mobile apps in the field of active transport, both academically and commercially. We want to know if and how much mobile apps are being used in active transport research, as well as its availability commercially. This will allow us to realize the current trends and gaps of the field.

METHODS

A search on academic literature and commercial apps for any apps that support active transportation was done in five academic databases and the two app stores. For a wide check, commercial apps were searched in six countries, one in each continent. Two of the authors reviewed the articles and apps for inclusion and another made the final decision if conflict arose.

RESULTS

In academic literature, 24 apps were identified that were developed or used for AT promotion or AT research. Out of these 24 apps, 8 are still available for download. Through the commercial search, we found 34 apps on the Apple App Store and 107 on the Google Play Store, available in Australia, Brazil, France, South Africa, Thailand, and the United States. Most of the apps were bike shares, then research apps, campaign apps, and then resource apps. From this, we discovered that for iOS apps, there are 4 apps that integrated self-monitoring features, 5 apps that use gamification to encourage engagement in AT and 1 app that used incentives and rewards as a motivator. For android apps, we found 7 apps that have self-monitoring features, 8 apps that use gamification features, and 4 campaign apps that use incentives and rewards to encourage AT engagement.

CONCLUSIONS

With this scoping review, we found that mobile apps are being explored as a method to collect data for transportation research and as an intervention to promote AT. However, results of the interventions varied, indicating the need for further study for a successful promotion. The apps that were developed academically were rarely maintained. Furthermore, there are not enough commercially available evidence-based and science-backed mobile apps that support and encourage AT behavior.
Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution (Preprint)
Authors: Paquette François-Xavier , Ghassemi Amir , Bukhtiyarova Olga , Cisse Moustapha , Gagnon Natanael , Della Vecchia Alexia , Rabearivelo Hobivola A , Loudiyi Youssef
Published: November 2021

BACKGROUND

Kidney transplantation is the preferred treatment option for patients with end-stage renal disease. To maximize patient and graft survival, the allocation of donor organs to potential recipients requires careful consideration.

OBJECTIVE

This study aimed to develop an innovative technological solution to enable better prediction of kidney transplant survival for each potential donor-recipient pair.

METHODS

We used deidentified data on past organ donors, recipients, and transplant outcomes in the United States from the Scientific Registry of Transplant Recipients. To predict transplant outcomes for potential donor-recipient pairs, we used several survival analysis models, including regression analysis (Cox proportional hazards), random survival forests, and several artificial neural networks (DeepSurv, DeepHit, and recurrent neural network [RNN]). We evaluated the performance of each model in terms of its ability to predict the probability of graft survival after kidney transplantation from deceased donors. Three metrics were used: the C-index, integrated Brier score, and integrated calibration index, along with calibration plots.

RESULTS

On the basis of the C-index metrics, the neural network–based models (DeepSurv, DeepHit, and RNN) had better discriminative ability than the Cox model and random survival forest model (0.650, 0.661, and 0.659 vs 0.646 and 0.644, respectively). The proposed RNN model offered a compromise between the good discriminative ability and calibration and was implemented in a technological solution of technology readiness level 4.

CONCLUSIONS

Our technological solution based on the RNN model can effectively predict kidney transplant survival and provide support for medical professionals and candidate recipients in determining the most optimal donor-recipient pair.
Testing the Efficacy of Attitudinal Inoculation Videos to Enhance COVID-19 Vaccine Acceptance: Quasi-Experimental Intervention Trial (Preprint)
Authors: Piltch-Loeb Rachael , Su Max , Hughes Brian , Testa Marcia , Goldberg Beth , Braddock Kurt , Miller-Idriss Cynthia , Maturo Vanessa , Savoia Elena
Published: November 2021

BACKGROUND

Over the course of the COVID-19 pandemic, a variety of COVID-19-related misinformation has spread and been amplified online. The spread of misinformation can influence COVID-19 beliefs and protective actions, including vaccine hesitancy. Belief in vaccine misinformation is associated with lower vaccination rates and higher vaccine resistance. Attitudinal inoculation is a preventative approach to combating misinformation and disinformation, which leverages the power of narrative, rhetoric, values, and emotion.

OBJECTIVE

This study seeks to test inoculation messages in the form of short video messages to promote resistance against persuasion by COVID-19 vaccine misinformation.

METHODS

We designed a series of 30-second inoculation videos and conducted a quasi-experimental study to test the use of attitudinal inoculation in a population of individuals who were unvaccinated (N=1991). The 3 intervention videos were distinguished by their script design, with intervention video 1 focusing on narrative/rhetorical (“Narrative”) presentation of information, intervention video 2 focusing on delivering a fact-based information (“Fact”), and intervention video 3 using a hybrid design (“Hybrid”). Analysis of covariance (ANCOVA) models were used to compare the main effect of the intervention on the 3 outcome variables: ability to recognize misinformation tactics (“Recognize”), willingness to share misinformation (“Share”), and willingness to take the COVID-19 vaccine (“Willingness”).

RESULTS

There were significant effects across all 3 outcome variables comparing inoculation intervention groups to controls. For the Recognize outcome, the ability to recognize rhetorical strategies, there was a significant intervention group effect (P<.001). For the Share outcome, support for sharing the mis- and disinformation, the intervention group main effect was statistically significant (P=.02). For the Willingness outcome, there was a significant intervention group effect; intervention groups were more willing to get the COVID-19 vaccine compared to controls (P=.01).

CONCLUSIONS

Across all intervention groups, inoculated individuals showed greater resistance to misinformation than their noninoculated counterparts. Relative to those who were not inoculated, inoculated participants showed significantly greater ability to recognize and identify rhetorical strategies used in misinformation, were less likely to share false information, and had greater willingness to get the COVID-19 vaccine. Attitudinal inoculation delivered through short video messages should be tested in public health messaging campaigns to counter mis- and disinformation.
Efektivitas Pengasuhan Positif untuk Menurunkan Stres Pengasuhan Ibu Bekerja dengan Anak Usia Prasekolah
Authors: Sari Meinita Fitriana , Andayani Budi
Published: November 2021

Ibu bekerja dengan anak usia prasekolah cenderung memiliki waktu interaksi serta kelekatan yang kurang dengan anak-anak mereka. Oleh karena itu, anak cenderung meniru atau melakukan tindakan atau kata-kata yang tidak sesuai dengan harapan orang tua.  Interaksi antara lingkungan orang tua dan anak yang kurang baik dapat menyebabkan orang tua mengalami masa stres, atau biasa disebut stres pengasuhan. Tujuan penelitian yang dilakukan adalah untuk mengukur efektivitas program pengasuhan positif untuk menurunkan tingkat stres pengasuhan dengan meningkatkan efikasi pengasuhan pada ibu bekerja dengan anak usia prasekolah.Hipotesis dalam penelitian ini adalah pelatihan efikasi pengasuhan dapat menurunkan tingkat stres pengasuhan. Metode yang digunakan dalam penelitian ini adalah eksperimen kuasi dengan untreated control group pretest posttest design dengan peserta sejumlah sepuluhorang. Analisis data menggunakan analisis statistik non parametric Mann Whitney U Test untuk mengukur perbedaan skor stres pengasuhan dan efikasi pengasuhan sebelum dan sesudah intervensi dilakukan. Hasil penelitian membuktikan bahwa program pelatihan pengasuhan positif efektif dalam menurunkan stres pengasuhan pada ibu bekerja (posttest-pretest Z = -2,803 dan p = 0,005 (p<0,05)). Hasil kualitatif menunjukkan adanya perubahan dalam praktik pengasuhan pada ibu bekerja meliputi keterlibatan, pemantauan, serta pembiasaan perilaku positif.
A Review on Deep Learning Approaches for COVID-19 Detection in Chest X-Ray Images
Authors: Dodiya Tanishka
Published: November 2021

Abstract: COVID-19 also famously known as Coronavirus is one of the deadliest viruses found in the world, which has a high rate in both demise and spread. This has caused a severe pandemic in the world. The virus was first reported in Wuhan, China, registering causes like pneumonia. The first case was encountered on December 31, 2019. As of 20th October 2021, more than 242 million cases have been reported in more than 188 countries, and it has around 5 million deaths. COVID- 19 infected persons have pneumonia-like symptoms, and the infection damages the body's respiratory organs, making breathing difficult. The elemental clinical equipment as of now being employed for the analysis of COVID-19 is RT-PCR, which is costly, touchy, and requires specific clinical workforce. According to recent studies, chest X-ray scans include important information about the start of the infection, and this information may be examined so that diagnosis and treatment can begin sooner. This is where artificial intelligence meets the diagnostic capabilities of intimate clinicians. X-ray imaging is an effectively available apparatus that can be an astounding option in the COVID-19 diagnosis. The architecture usually used are VGG16, ResNet50, DenseNet121, Xception, ResNet18, etc. This deep learning based COVID detection system can be installed in hospitals for early diagnosis, or it can be used as a second opinion. Keywords: COVID-19, Deep Learning, CNN, CT-Image, Transfer Learning, VGG, ResNet, DenseNet
Smart Farming Using Internet of Things
Authors: Munavath Hanumanthu
Published: November 2021

Abstract: The need for increase in food product is needed to feed ever adding world population. The process of contest is that adding of food product with loss of the working labour in agronomic corridor and thus the rising cost through ferocious agrarian interventions is getting a major concern (1). To enable this challenges, smart husbandry may be a ranch operation approach where Internet of Effects (IoT) is employed to beat this concern. Smart husbandry (2) is an approach that shall communicate information and communication technologies as facilitator of profitable husbandry operations. Smart Farming system is noticed as a jigger that specialize in the live monitoring of environmental data in conjugation of temperature, humidity and other types counting on the detectors integrated with it. The model hands over the conception of “ draw and sense “ methodology in which the stoner can directly apply smart husbandry by putting the system in the field and getting live feeds on colorful bias like smart phone, Tablet etal. and thus the data generated via these detectors are frequently fluently participated and viewed by husbandry advisers anywhere ever through Cloud Computing technology integration. This design pave growers to vary themselves from conventional to automated way of husbandry which can beget product of excellent quality of crop yield which will enhance the profit generation. The effigy contribute’s to the general nature and thus the metamorphosis by individual growers isnominal. In the period of food failure this may help us to supply third green revolutions by not modifying the yield but involving robotization in agrarian practices. This paper is the semantic review of the abstract on the smart husbandry with IoT. The major concern of the contest is delivery of the meaningful information in near-real- time. This paper focuses on the platform, network protocols, recycling data and the connection of smart husbandry with IoT to husbandry. The classic access shows the data used in the reactive manner. In moments ultramodern period where technology pave the life, new technological development enables data to over come crop issues and reform the certainty of crop opinion. Therefore, this paper presents the analysis of the effigy of granges operation which bolster the longer term of smart husbandry as a technology which inculcate robotization in husbandry. Keywords: Precision agriculture, Smart Irrigation System, Smart controlling System, Wireless Sensor networks, IOT.
POROCARCINOMA OVER SCALP: A RARE ENTITY
Authors: Lokhande Harshala
Published: November 2021

Porocarcinomas are aggressive adnexal tumors with a rare incidence. They are usually seen as a nodular or infiltrating growth over the lower extremities, infrequently over the scalp. They are thought to be arising from a pre-existing lesion and with a long clinical history. Treatment of choice is surgical resection with histopathologically confirmed negative margins. There are chances of local recurrence; hence a regular follow-up is must in these cases. Hereby we present a case of 42 year old male with 2 year history of growth over the right temporo-parietal region of the scalp. Histological confirmation of the diagnosis was done after wide local excision of the tumor. Porocarcinomas are mostly likely to be misdiagnosed clinically; therefore a histopathological correlation is necessary for the confirmation of diagnosis and further management of the patient.
KINETIC STUDY COMPARISON OF IMMOBILIZED GLUCOSE ISOMERASE (GENSWEET AND SWEETZYME IT) IN STIRRED TANK REACTOR AND PACKED BED REACTOR
Authors: Chaudhari Ashok R
Published: November 2021

Various additives have been employed to extend the brachial plexus block. Dexamethasone, when added to local anesthetic block prolongation with analgesic and anti-inflammatory effects has been seen. Group I (Control group) received Inj. Lignocaine 1.5% plus adrenaline (1:200000) max safe dose of 7mg/kg+ NS- 2ml while group II (Dexa group) received Inj. Lignocaine 1.5% plus adrenaline (1:200000) max safe dose of 7mg/kg + Inj. Dexamethasone - 2ml (8mg). Total volume in each group ranged between 25-32ml considering the patients individual body weight. Block characteristics, duration and quality of analgesia in the post-operative period were noted. Dexamethasone hastens the onset and prolonged the duration of motor and sensory blockade. The mean duration of postoperative analgesia was prolonged till 8th hour in the dexamethasone group while in the control group it was continued till 3hrs, the role of rescue analgesia commenced after 3rd hour. Dexamethasone provides better hemodynamic stability and profound analgesia without any untoward side effects in the perioperative period. In the supraclavicular method of brachial plexus block, the addition of dexamethasone to lignocaine adrenaline offers excellent anesthetic and analgesia.
TO ESTABLISH THE CORRELATION BETWEEN P53 AND HISTOPATHOLOGICAL GRADING OF GLIAL TUMORS
Authors: Hassan Tabish
Published: November 2021

Glial tumors occupy approximately 70% of the spectrum of all brain tumors with astrocytoma’s being the most common primary. High grade glial tumors have a poor outcome with limited survival rate. To establish the correlation between p53 status and histological grading of glial tumors. Objectives: To diagnose glial tumors on histopathological examination, to evaluate histological grade, to evaluate p53 expression and to assess the correlation between p53 expression and histological grade of gliomas. The study investigated 52 cases of gliomas. Histological grade was determined by WHO Grading System. Nuclear expression of p53 was evaluated by immunohistochemistry. A direct correlation between the histological grade and the p53 expression was observed. High grade gliomas exhibit high p53 expression. Thus, p53 as an adjunct to histological grade can provide a supportive clue to the clinicians, to predict the biological behaviour of gliomas.
EMA-AND USEFUL IMMUNOCYTOCHEMICAL MARKER AT DIFFERENTIATION OF GLANDULAR MALIGNANT CELLS FROM ATYPICAL MESOTHELIAL CELLS ON CELL BLOCK PREPARATION OF BODY EFFUSIONS
Authors: Jaiswal Neha
Published: November 2021

The detection of the malignant cells by cytologic method has long been practised. The detected malignant cells are difficult to be typed specially in the situations of overlapping cytomorphology. The conventional cytologic preparation may harbour lower number of malignant cells but the method of cell block offers high detection rates of such malignant cells. Still the problem remains when the evaluation is short by morphological features and requires immunoexpression studies. The commonest situation encountered of overlap cytomorphology is the distinction between well differentiated adenocarcinoma from reactive mesothelial cells with atypia in effusion. Such a distinction is not only important for the purposes of diagnosis but also for prognostification by stage and management of the patient .The review presents the experiences of the past studies over utility of EMA in detection and segregation of the cells of well differentiated adenocarcinoma infiltrating the effusions from reactive atypical mesothelial cells. The present review is compiled from the publications from various institute across the globe and shares the authors experience for the utility of epithelial membrane antigen over the cell block of effusions at distinction of overlap cytomorphology. Compilation of the study by inclusion of articles by 1,2,3,3,4,5,6,7,8,9,10.The articles were searched through google engine and Pubmed search. The 10 articles dealing onto the role of EMA as a immunocytochemical marker have affirmed the high sensitivity and specificity of EMA at seggregating glandular malignant cells from atypical mesothelial cells on cell block preparation of body effusions.The range of sensitivity and specificity for EMA was found to be 81% -100% and 98.86 -100% respectively.The positive predictive value range from 92-97% and negative predictive value ranging from 88.64 – 100%. All the studies reviewed confirmed the high value of significance (P value for EMA). The systematic review carried out re-affirms the role of EMA in the situations of of indistinguishable cytomorphology of adenocarcinoma from that of benign , reactive , atypical mesothelial cells. The overall diagnostic utility of EMA was conducted to br over 90% in such situations.
IMPACT OF PHYSIOTHERAPY REHABILITATION ON SEPTIC ARTHRITIS SECONDARY TO HANSEN’S DISEASE
Authors: Ghive Dhanashree
Published: November 2021

Leprosy, commonly known as Hansen's disease, is a chronic infectious illness caused by the bacteria Myobacterium leprae. The presence of the musculoskeletal system is the third most common symptom. Acute onset of arthritis is documented secondary to Hansen’s disease. Septic arthritis is a joint infection that causes excruciating pain, it typically manifests as a single hot, swollen, and extremely painful joint. The main aim of physical therapy is to recover from functional impairment as a result of Hansen's disease and to tailor lifestyle changes to help the patient regain functional independence. In this case study, updated physiotherapy rehabilitation of septic arthritis following borderline Tuberculoid Hansen's disease has been demonstrated to be important in restoring range of motion (ROM), muscular strength, and pain alleviation. A male with 46 year of age presented to the orthopedic department with the symptoms of pain and swelling of the knee of the right side since 1 month without any history of fall or twisting injury. He was advised for the investigations of x-ray and MRI and arthrocentesis of right knee was done during which pus was found and aspirated. He was diagnosed with septic arthritis of right knee joint. Patient was operated with diagnostic arthroscopy of right knee where debridement was done. Patient then was referred to physiotherapy department with the complaints of pain and stiffness over right knee joint, with restricted range of motion. He was known case of Hansen’s disease. He was started with physiotherapy rehabilitation protocol for 6 weeks where cryotherapy, TENS, passive ROM, active assisted and active ROM exercises were given. Focus was also made on improving strength. In this case study physiotherapy rehabilitation protocol used had significantly reduce the pain, increased ROM, muscle strength and endurance which considerably help the patient in restoring his functional independence at home and work place.
PREVALENCE OF COMMON MUSCULOSKELETAL PROBLEMS SEEN IN SPECIAL SCHOOL CHILDREN’S IN RURAL AREA
Authors: Seth Nikita H.
Published: November 2021

This paper outlines the importance of a healthy well-being of brain which is reflected by a good stance and posture. The most prevailing complain among special school children is found to be postural defects. Various special schools of rural areas were taken in consideration, that is total 70 special students were selected, from various special schools. The informed consent was obtained. They were provided with Numerical pain rating scale and Questionnaire. Using inferential statistics and descriptive method statistical analysis was done it proved to be highly significant.Our research showed that maximum number of children of special school had knee pain as compared to other joints, hamstrings pain being most common, with back pain more common than whole body pain. The study concluded that most of special school children have knee pain, hamstrings pain, back pain most commonly with respect to age and gender.
REHABILITATION OF PATIENT WITH TIBIA-FIBULA FRACTURE
Authors: Zunzunwala Saurabh
Published: November 2021

An orthopedic surgeon may find compound fractures of tibia-fibula challenging to treat. The degree of joint motion and the adequacy of reduction are the two factors that determine whether or not these fractures can be treated successfully. In many patients, open surgical treatment of comminuted tibial pilon fractures is associated with significant complications. Indirect reduction and stabilization of fractures using a circular external fixator can be a useful way of achieving adequate joint restoration, and it uses closed reduction principles to realign disturbed bones and joint structures. In this report, we describe about the effects of early rehabilitation compound grade IIIB fracture tibia, fibula of right side. The patient co-operation and motivation to return to daily functional activities also prove to very crucial for the rehabilitation process. The defect in bone is usually a result of high velocity trauma or a sudden impact. In present case open reduction and external fixation for distal one-third of tibia and fibula on right side was carried out followed by the rehabilitation protocol. Outcome measure used to check for the pain was NPRS. The patient morale and goal-oriented rehabilitation protocol progressed him to return to his functional activities.
PHENOTYPIC DETECTION OF EFFLUX MECHANISM IN AMIKACIN-RESISTANT ACINETOBACTER ISOLATES FROM TWO DIFFERENT STATES IN SOUTH INDIA
Authors: Koka Fathimunnisa
Published: November 2021

Acinetobacter has already gained resistance to the majority of antibiotics available. Aminoglycosides are commonly used to treat invasive infections. Aminoglycoside resistance is associated with decreased drug absorption, aminoglycoside modification, and aminoglycoside efflux. The aim of this study was to detect the presence of an efflux mechanism in amikacin-resistant Acinetobacter isolated from hospital wards using Carbonyl Cyanide 3- Chlorophenylhydrazone (CCCP). One hundred isolates of Acinetobacter were isolated from tertiary care hospitals in two distinct South Indian states. Antibacterial susceptibility patterns were discovered between 2017 and 2019. Amikacin minimum inhibitory concentration (MIC) for resistant Acinetobacter isolates was determined using Clinical and Laboratory Standards Institute (CLSI) standards. The efflux system activity was determined using CCCP. Among 100 Acinetobacter baumannii isolates, 49 isolates with amikacin resistance were found. The MIC’s of Acinetobacter ranged between 2 – 1024 μg/mL for the amikacin studied. After treatment with the efflux pump inhibitor, 38.77% of isolates became less resistant to amikacin, as determined by phenotypic detection of efflux pumps, showing a decrease in antibiotic MICs of at least four fold. The data demonstrated the importance of efflux pump activity conferring amikacin resistance on Acinetobacter clinical isolates.
A study on the prevalence and the risk factors of hepatitis B virus infection in Kurdistan Region, Iraq: A multicenter study
Authors: Hussein Nawfal R , Musa Dildar H , Hawezy Dawan Jamal , Ahmed Ferhad MR , Khalid Fatma Kamal , Naqid Ibrahim A , Assafi Mahde Saleh
Published: November 2021

Objectives: The aims of this study were to determine the prevalence of HBV infection and investigate the HBV-related risk factors in the Kurdistan region of Iraq.
Methods: Sera samples were collected from 3423 patients visiting three centers and tested for HBV positivity by enzyme-linked immunosorbent assay. A questionnaire was prepared and used by the volunteers who collected data, including age, marital status, and different HBV-related risk factors, through face-to-face interviews.
Results: The mean age of the recruited participants was 28.94 Â± 11.17 years. In addition, 873/3423 (25.47%) were males, and 3024/3423 (88.34%) were married. Furthermore, HBV infection had a prevalence of 1.37% (47/3243). Multivariate analysis was conducted to identify the predictive factors of HBV infection, which revealed that a history of tattoos and age were predictive factors (p<0.05). We then stratified our data according to sex. No association was found between the various factors and HBV positivity in males. On the other hand, in females, a significant association was found between the history of tattoos or age and HBV positivity (p<0.05).
Conclusions: In conclusion, the prevalence of HBV infection was low. Our study showed that a history of tattooing and older age were predictive of HBV infection. Our results could be used as a basis for local elimination programs.
Assessment of von Willebrand Factor/ADAMTS13 Ratio and Vitamin K Levels as Predictor Markers for Severity of COVID-19 Patients
Authors: Mohsin Haneen Saeed , Ali Hanaa Addai , Al-Tu'ma Fadhil Jawad
Published: November 2021

Objectives: To investigate the levels of each of von Willebrand Factor, ADAMTS-13, and vitamin K in sera of Iraqi patients infected with Covid-19 and study the association between them to explore the mechanism roles of micro thrombosis in Covid-19 progression.
Methods: In this case-control study, a total of (60) COVID-19 patients (min-max) aged (35-65years) who presented within 7-12 days of displaying COVID-19 symptoms were recruited. (30) apparently healthy persons of the same ages and gender were included in this study as a control group. patients were divided into three groups: mild patients group (n=33), sever patients group (n = 15), and deceased group (n = 12). In this study, the levels of vWF, ADAMTS-13, and vitamin K were measured through enzyme-linked immunosorbent assays (ELISA) in sera from healthy volunteers as a control group, and patients with moderate COVID-19, patients with severe COVID-19, and patients who had deceased from COVID-19. Anthropometric, biochemical data were analyzed.
Results: The levels of vWF, ADAMTS-13, and vitamin K were did differ significantly among groups. However, the level of vWF was significantly higher in moderate COVID-19 and severe cases of COVID-19 groups compared to control indicating it to be an independent predictor in the coronavirus disease. The levels of vitamin K were significantly lower in the patients group than the control group especially in severe case of the COVID-19 group. In contrast, the level of vWF in deceased COVID-19 patients was significantly higher compared to severe cases. The vWF /ADAMTS13 ratio was higher at presentation in COVID-19 patients who died (26.14 vs 12.34; P < .0001). Linear regression analysis for vWF levels revealed significant negative correlations with ADAMTS-13, and vit. K ,and positive correlations with d-dimer and ferritin levels. However ADAMTS-13 demonstrated significant positive correlations with vit.K levels  in patients group.
Conclusion: The correlations of vWF-ADAMTS-l3 and vitamin K levels in Covid-19 patients could help better define the pathophysiology, clarify the pathogenesis, improve prediction of clinical prognosis, and better guide thromboprophylaxis and treatment Covid-19 patients, which could be uses as hall mark of severe Covid-19 and provide a rational for combined therapeutic approaches for medical staff. A ratio of vWF/ADAMTS-13 prompt higher in the ratio in thrombolysed patients was associated with increased mortality and morbidity.