bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN LINGKUNGAN KERJA DAN DISIPLIN KERJA TERHADAP KINERJA PEGAWAI DI DINAS PERHUBUNGAN KOTA SERANG
Authors: Asih Dewi , Harsono Pramudi
Published: November 2021

Performance is the appearance of work and the results achieved by a person either in goods or products or in the form of services which are usually used as a basis for self-assessment of the employee or the work organization concerned which reflects the employee's knowledge about his work. The higher the quality and quantity of the work, the higher the performance. This study aims to determine the effect of work environment and work discipline on a piecemeal basis on employee performance and the effect of work environment and work discipline together on employee performance at the Department of Transportation of Serang City. The type of research used is quantitative research. The research was conducted at the Department of Transportation of Serang City. The number of respondents is 35 people. This study distributed questionnaires to employees. The data processing and analysis technique used SPSS version 25. The results of this study indicate that the work environment (X1) has an effect on employee performance (Y) with a value of tcount > ttable (1,854>1,693). Work discipline (X2) has an effect on employee performance (Y) with a value of tcount > ttable (3,086>1,693) and simultaneously or simultaneously shows that Fcount > Ftable, namely = 28,400 > 3,29. This means that there is an influence between the Work Environment and Work Discipline together on the Performance of Employees at the Serang City Transportation Service. The conclusion obtained shows that the work environment partially affects employee performance, partially work discipline affects employee performance and simultaneously or simultaneously the work environment and work discipline affects employee performance
CULTURAL AND TOURISM DIVERSITY ON INSTAGRAM ACCOUNT OF BANDUNG CULTURAL AND TOURISM BOARD: A DISCOURSE ANALYSIS APPROACH
Authors: Amalia Rosaria Mita
Published: November 2021

Cultural diversity is one of the nation's wealth that can be a tourist attraction in an area. The city of Bandung as the capital city of West Java Province has the potential and allure of tourism so that it can attract tourists to come. The Bandung City Tourism Culture Office is one of the offices that maximizes their official Instagram account @ disbudpar.bdg as a medium for promoting various tourist attractions and cultural diversity as one of the attractions of Bandung for tourists. The promotional content displayed in the Instagram account feeds represents the cultural and tourism diversity of Bandung city. Various potentials and cultural attractions are displayed in visual images and captivating narratives. The previous studies focuses on the potential value of Instagram for promoting tourism site in Indonesia, especially in Malang and Bali, and describing how Instagram creating brand destination through photography side.This study analyzes the topics presented and the linguistic instruments used as markers of cultural diversity and tourism in these contents. The analysis uses Fairclough's Critical Discourse Analysis (1995) theory regarding text analysis and the research method is descriptive quantitative. Topics that are displayed such as tourist attractions, art attractions, the use of Sundanese language, culinary tours, etc. show the various cultures and arts from the city of Bandung. The results of the analysis show that there are 11 classification of topics regarding cultural diversity and tourism namely
CURRICULUM REFORM IN EAST TIMOR: CURRICULUM MATHEMATICS PRIMARY SCHOOL
Authors: Kusuma Jaka Wijaya , Junaedi Iwan , Mulyono Mulyono , Hamidah Hamidah
Published: November 2021

This study aimed to analyze the newly developed math curriculum taking into account the views of teachers and students. Curriculum analysis is realized in three dimensions; (1) Classroom management – the physical and emotional environment of the classroom, the role of teachers and students, and interactions, (2) Instructions – objectives, planning, implementation, methods and techniques, instructional media, and measurement and evaluation, and (3) Strengths (and benefits) and weaknesses (and limitations). Qualitative case study methods are utilized with literature reviews.  The responses collected from the sources are the content that is analyzed, and then the code is categorized. These findings suggest that some changes have been made and reflected in the implementation of the classroom, and the student-centered approach has been incorporated into the instruction. On the other hand, some difficulties arise during implementation due to a lack of infrastructure
PENGARUH MOTIVASI DAN LITERASI KEUANGAN TERHADAP MINAT BERINVESTASI PADA PASAR MODAL SYARIAH
Authors: Sari Wan Gustina Indah , Ovami Debbi Chyntia
Published: November 2021

The objective of this research was to test and analyze the influence of motivation and financial literacy on investment interest in Islamic capital markets with case studies of students of Universitas Muhammadiyah Sumatera Utara. This research used primary data, namely by spreading questionnaires through google form. Respondents in this research were undergraduate students majoring in accounting in 2018 and 2019. The number of samples in this research was 125 respondents. From the spread of the questionnaire, as many as 102 respondents (the number who filled out the questionnaire) that can be processed and analyzed with the help of the SPSS Computer Application Version 25 for windows. The statistical method used to test hypotheses was multiple linear regression analysis. The results showed that motivational variables and financial literacy variables simultaneously affect the variables of interest in investing in Islamic capital markets. This was evidenced by the Fobserved value of 116,999 and Ftable 3.09 with a significance of 0.000. The results also showed that motivational variables and financial literacy partially affected investing interests. This was evidenced by the value of tobserved > ttable where the value of tobserved motivation variable of 11,746 and the value of tobserved variable financial literacy of 3.533 while the value of ttable amounted to 1.660391.
Analysis and Prediction of Recorded COVID-19 Infections in the Constitutional Departments of Peru using Specialized Machine Learning Techniques
Authors:   Image Processing Research Laboratory, Universidad de Ciencias y Humanidades, Lima Perú, Huamaní Enrique Lee , Cunyarachi Lilian Ocares
Published: November 2021

The COVID-19 pandemic in Peru caused thousands of losses where it can be seen that until the year 2021 there are more than 200,000 deaths among men and women throughout the country. This figure is alarming and could have been avoided in time if the necessary care had been taken and the norms imposed by the Peruvian government had been followed. In the last months of the year 2020, we began to see a decrease in deaths and infected by COVID-19, which caused the public to calm down, which led to some citizens not following the biosecurity protocols, consequently causing a second wave of infected people. Therefore, it is necessary to be able to prevent a third wave since in 2021 a reduction was again visualized, which meant a reduction of deaths and infected by COVID-19, so one option to be alert to a possible third wave is to use machine learning techniques with a data set with the ministry of health to predict in which parts of the country there is the possibility of new contagions and identify which gender will be more prone to be infected in this way be aware of which parts of the country should be prioritized and thus contribute to the stability and harmony of the country. Keywords— Covid-19; Machine Learning; Software prototype; Prediction models
Use of Artificial Intelligence for Face Detection with Face Mask in Real Time to Control the Entrance to an Entity
Authors:   Image Processing Research Laboratory, Universidad de Ciencias y Humanidades, Lima Perú, Huamaní Enrique Lee , Cunyarachi Lilian Ocares
Published: November 2021

Due to the pandemic caused by Covid-19, daily life has changed significantly. For this reason, biosecurity measures have been implemented to prevent the spread of the virus as an effective way to reactivate economic activities. In this sense, the present paper focuses on real-time face detection as a measure of control at the entrance to an entity, thus avoiding the spread of the virus while recognizing the identity of workers despite the use of masks and thus reducing the risk of entry of individuals outside the organization. Therefore, the objective is to contribute to the security of a company through the application of machine learning methodology. The selection of methodology is justified due to the adaptation of the same according to the interests of this project. Consequently, algorithms were used in a progressive manner, obtaining as a result the control system that was intended, since each particularity of the face of the individual was recognized in relation to its corresponding identification. Finally, the results of this article benefit the security of organizations regardless of their field or sector. Keywords— Control, Detection, Facial Recognition, Facial Mask, Face recognition, Machine learning.
Effects of Pentagonal Pore Sizes in the Zinc Hydroxyapatite Parietal-Temporal Implant
Authors:   School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia, Dagang Wan Nur Fatini Syahirah W. , Hamdi Nik Harisha Qistina Nik , Marwan Shahrul Hisyam , Mahmud Jamaluddin , Manan Nor Fazli Adull , Ramlee Muhammad Hanif , Abdullah Abdul Halim
Published: November 2021

To reconstruct the fractured skull, affected patients are advised to undergo cranioplasty, which is a surgical procedure to repair the cranial defect by implanting materials such as autologous bone grafts or synthetic alloplastic materials. The use of synthetic alloplastic materials such as hydroxyapatite (HA) has been widely accepted due to their biocompatibility and suitability for larger cranial defects. The zinc hydroxyapatite (ZnHA) material is favourable as HA mimics 60% of the actual human bone, whereas zinc helps to improve its biomechanical properties. The purpose of this study is to construct the ZnHA cranial implant with different pore sizes of 600, 900, and 1200 µm in pentagonal shapes and to study its mechanical performance. At the end of the research, it was found that the implant with a pore size of 900 µm is the most appropriate implant to be utilized without affecting its mechanical performance. Aspects such as the deformation and von Mises stress are discussed to assist on the development of the ZnHA cranial implant. Keywords — Biomechanical analysis, cranial implant, finite element analysis, pore size, zinc hydroxyapatite
Automatic Fire Detection and Extinction with Infrared Multispectrum Electro-Optical Technology with Watch-Dog Timer Control, for a 220KV to 33KV Transformer
Authors:   National Technological University of Lima Sur (UNTELS), Sector 3 Group 1A-03, Villa El Salvador, Lima, Perú, Chacon Yesica Pamela Leandro , Atalaya Omar Chamorro
Published: November 2021

The present research aims to design an automatic fire detection and extinction system, developed with infrared multi-spectrum electro-optical technology with watch-dog timer control, for an electrical transformer from 220KV to 33KV. Upon its development, it is concluded that the automatic detection and extinction system has a deluge system with sprayed water, which will be activated by a detection system with flame sensors, this system has infrared multispectrum Electro-Optical Technology and will be controlled by through the Timer Watch-Dog, which will automatically detect and report any failure in the state-of-theart microprocessor. By subjecting the detection and extinguishing system to operational and functional tests, an optimal response of the deluge sprinklers was obtained, through the pressure and flow parameters, also a coefficient of determination R2 equal to 0.991 is obtained, which represents that the design is optimal, evidencing feasibility from the operational and functional point of view. Keywords— Detection, Extinction, Automatic, ElectroOptical, Multispectral, Infrared, Timer Watch-Dog, Transformer
Prototype of a System for Quail Farming with Arduino Nano Platform, DHT11 and LM35 Sensors, in Arequipa, Peru
Authors:   Image Processing Research Laboratory (INTI-Lab), Universidad de Ciencias y Humanidades (UCH), Lima, Perú, Cosi Sebastian Ramos , Cuentas Natalia I. Vargas
Published: November 2021

— Quail farming ranks 3rd at the national level for poultry production and has growth projections of 3.9% in the coming years. In Peru, due to the decreases in temperature and cold in the southern part of the country, it presents a significant problem to the development of quail farms, of which its primary derivative is the egg that provides food contributions to the population and only with the 18.1% cholesterol compared to the eggs of other birds. This study aims to develop an automatic farm system to increase the production in the laying stage of quails in the homes of Arequipa. The control system was developed with the Arduino Nano platform, DHT11, LM35 sensors, actuators such as a 25W bulb, a fan, and a humidifier, which allow continuous temperature and humidity control. In addition, all the variables can be visualized through an LCD screen. A simple 3D model was developed with a capacity of between 10 and 25 quails. In charge of the control processes, the Arduino module reached an error rate of 0.9% in the temperature variable, and the humidity variable does not present an error rate. The total power of the prototype was measured and converted into a monetary value. Average power of 0.02667 kW / hour was obtained, which is reflected in a saving of 82.22% compared to using a 100W bulb. Keywords— Poultry production, farm quail, quail egg, automation, Arduino.
Hierarchical Fuzzy Signature and Neuro-Fuzzy Hybrid System for QMS Control
Authors:   National Institute of Applied Science and Technology (INSAT), Ketata Raouf , Mahmoud Hajer Ben , Lassoued Hela
Published: November 2021

Recently, the Quality Management System (QMS) control supports organizations managers identifying the best practices to upgrade the efficiency and effectiveness. This control has become a successful tool to improve the organization decision-making process. However, QMS encloses several performance indicators inputs that necessitate to be managed. In fact, it may include as inputs, customers requirements, quality policies, standard procedures and many other criteria. Hence, to provide the control of QMS problem insurance, two approaches are investigated which are Hierarchical Fuzzy Signature (HFS) and NeuroFuzzy Hierarchical Hybrid system (NFHH), respectively. These approaches are applied in the case of an industrial company operating in the electromechanical sector. This company has to be creative, agile, responsive and especially ready for fierce competition. Then, the obtained results are compared to Adaptive Neural Fuzzy Inference and Neural Network Systems, regarding the learning phase. Consequently, all of them help the company to assess its overall performance. However, NFHH reaches the best accuracy, reduces the number of neurons and uses the parameters that keep the universal approximated property of neural networks and fuzzy systems. Keywords—Quality management system, Fuzzy logic, Neuro-Fuzzy, hierarchical structure, fuzzy signature
Copyright Regulation of Relations with regard to Software: Current State and Perspectives
Authors:   Kharkiv National University of Internal Affairs, Kharkiv, Ukraine., Pikhurets Olena , Lytvyn Stepan , Miroshnykov Ivan , Mykolaiets Viktoriia , Karashchuk Oksana
Published: November 2021

— The legal regulation of relations about software (computer programs) is conducted mainly in two directions: copyright and patent law. But despite lengthy discussions in scientific circles in almost all countries, there is no final and single solution to this issue. Historically, the model of copyright protection of the object under study offers a cheaper and faster procedure than the model of protection of software by patent law. Patent protection requires a rather expensive and lengthy examination of software for world (absolute) novelty, during which the object itself may become obsolete and become unpopular with potential users. Therefore, the copyright regime for the protection of software has received preferential recognition. Accordingly, the article attempts to investigate the problems of the existing in the world copyright model of software protection and the possibility of patenting them. Keywords— software, copyright, patent law, object of protection
Digital System Design for Traffic Light Controller System: A Systematic Approach
Authors:   University. of Economics and Law, Ho Chi Minh City, Vietnam, Nhi Ho. T To , Pham Giao N. , Hung Nguyen Quang , A.Nguyen Binh , T. Le Ngoc , Su Le Hoanh
Published: November 2021

In this paper, we are going to present the finite state machine, how to implement it via hardware description language (HDL), and how to use it in a real application. At first, the specification and requirements of traffic light controller are stated. Then, the system architecture based on finite state machine (FSM) are conducted. Finally, the way of using HDL as well as the test-bench simulation are given in detail. Keywords : Digital system design, System on chip, Finite State Machine, Digital Design Education, Smart Classroom.
Optimal Reactive Power Dispatch Using Multistage Artificial Immune System
Authors:   Department of Electrical &, Nordin Nur Farzana ,   Electronics Engineering, College of Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Mansor Mohd Helmi , Kamil Karmila , Roslan Nurzanariah
Published: November 2021

Most countries over the past few decades have modernized their economies and become more reliant on electricity to run, so the electrical power system has also expanded greatly. Optimal Reactive Power Dispatch (ORPD) has a big influence on the reliability, security, and economic operation of the power system. Another thing to note is that ORPD has a few major targets and objectives which are to reduce the active or real power losses, to improve the voltage profile, to reduce transmission costs, and to increase system stability. Non-convex, non-linear, and multimodal problems make the development of intelligent algorithms to solve the reactive power dispatch problem highly relevant. Some researchers chose to compare and contrast optimization techniques from the past with each other in order to answer some remaining uncertainties such as the effectiveness and complexity of the technique toward the chosen objective function(s). Thus, this paper proposed applying the Multistage Artificial Immune System (MAIS) optimization method for solving the ORPD problem with the objective of reducing the power system losses. This algorithm was made by modifying and upgrading the classical AIS optimization method. Instead of only going through the process one time in the classical AIS algorithm, this MAIS method going through the processes more than one time in multiple stages of the same processes. This process includes cloning and mutation as well as selection. These modifications also aid in the development of new and unique solutions, as opposed to the classical AIS optimization process. Therefore, these enhancements could lead to a rise in the accuracy of the results' because there have been increased comparisons. This study confirms that MAIS optimization can deliver superior results in less time than AIS. Keywords—Optimal reactive power dispatch, computational intelligence, multistage artificial immune system, loss minimization.
Improved Imaging Model in the Presence of Multiplicative Spatially Extended Cloaking Interference
Authors:   Ivan Kozhedub Kharkiv National Air Force University, Ukraine, Kharkiv, 61023, Khudov Hennadii , Ruban Igor , Makoveichuk Oleksandr , Stepanenko Yevhen , Khizhnyak Irina , Glukhov Sergey , Symkanych Olesya , Solomonenko Yuriy , Baranov Andrii , Shamrai Nazar , Khudov Rostyslav
Published: November 2021

The paper proposes an improved imaging model in the presence of multiplicative spatially extended cloaking interference. The model take into account the effect of multiplicative masking interference. To simplify the calculations of the image brightness in the distorted region the diagram technique is used. Unlike the known ones, the model takes into account the concentration of the distorting medium in a narrow squat layer, the primary reflection of solar radiation from the upper boundary of the distorting layer and subsequent multiple re-reflections of the transmitted radiation of the visible wavelength range from the earth’s surface and the upper boundary of the distorting medium layer. A technique for finding and taking into account the reflection and re-reflection coefficients of radiation to restore distorted images is proposed. The results of experimental studies are presented. For the experiment, the image of the territory of Iraq during the 2003 "Freedom for Iraq" hostilities was selected. Keywords— image, model, multiplicative, extended cloaking interference, spacecraft, reflection, coefficient
Application of Wireless Sensor Networks to Prevent the Spread of Forest Fires
Authors:   First University of Fire Prevention and Fighting, Vietnam, Bon Le Quang
Published: November 2021

The objective of this article is to identify current trends and prospects for the use of technical facilities and installations to prevent the spread of wildfires by analyzing the literature. The analysis of the literature has allowed an analysis of different ground-based wildfire detection and monitoring systems: optical sensors and digital camera systems, and wireless sensor network systems. The author concludes that the wireless sensor network can be seen as a partial solution when used in combination with other technologies. Keywords—observation towers, optical systems, optical sensors, digital cameras, wireless sensor network.
A Novel Approach of Analysis of the Banking Market, Case Study Bank Financial Institution
Authors:   Division of Postgraduate Studies and Research at National Technology of Mexico, Technological Institute of Tlalnepantla., Escamilla Samuel Lara , Lagunas Ivett Vásquez , Reyes Pedro Arturo Chávez , Martínez Felix Vázquez
Published: November 2021

This research explores the ideas raised through the authors Gaither and Frazier (2000). Reengineering arises when capacity needs change or market conditions change. These elements propitiate a transformation to a digital age. The digital age or digital revolution is based on new technologies and has as key factors: the Internet. Information technology. Big data. Artificial intelligence These changes and transformations force organizations to apply various reengineering plans to be able to cope with these changes and stay in the market and with their consumers. Reengineering is the fundamental change to get to the base of the organization's problems (Hammer and Champy, 1994), so it is very common for organizations to find themselves in constant changes in order to meet the demands of their markets, consumers. and competitors. The object of study of this research is to propose an autonomous system for the analysis of the banking market. Keywords— autonomous model, artificial intelligence, implementation, industrial revolution, e-commerce
CO-RELATION BETWEEN DEHA PRAKRITI AND BLOOD GROUP IN HEALTHY INDIVIDUALS
Authors: Meena Suman , MEENA PRADEEP KUMAR , Gujjarwar Vidula
Published: November 2021

Introduction: Prakriti stands for nature of the body in terms of Dosha and is decided at the time of conception according to the predominance of Dosha. According to Ayurvedic Acharyas, Prakriti of an individual cannot change during his whole life, same as blood group of an individual does not change during his life. In the present study, a relationship between Deha Prakriti and Blood Group was established. Aim and Objective: The aim of the study is to find an association between Deha Prakriti and Blood group in healthy individual. Material and Methods: For this study to be carried out, a total of 150 healthy individual (50 of each dominant prakriti) were selected. Assessment of Prakriti was done using K. Patwardhan and R. Sharma, “Prakriti: a self-assessment questionnaire” and Blood group sample was taken and investigations were carried out in pathology lab, Ch. Brahm Prakash Ayurved Charak Sansthan, Khera Dabar, Najafgarh, New Delhi and A one-way repeated measures ANOVA also known as a within-subjects ANOVA was applied to test the association between Deha prakriti and Blood group in healthy individual. Results The prevalence of different blood group as found in our study is in the order of B+, O+, A+, AB+, A-, AB-, B- and O- respectively. On analyzing the blood group with respect to Prakriti types, association was noticed between blood group type B with all single Doshaj Prakriti (Vataj, Pittaj and Kaphaj). This study shows that blood groups cannot be thus used as features to classify dominant Prakriti as no statistically significant association was found between them (p > 0.05).
Keywords: Blood group, Prakriti, Vata, Pitta, Kapha.
PHARMACEUTICAL ANALYSIS OF MANIBHADRA YOGA PREPARED WITH DIFFERENT METHODS
Authors: Firke Pravin , Patil Anuradha
Published: November 2021

In the present times, awareness regarding preventive healthcare is on the raise, consequently, inclination towards Ayurveda is greater than before. In order to meet the demands for pleasing and agreeable products, there is a need to bring in suitable Ayurvedic products while maintaining their quality and efficacy. Different references for a same product can be seen in various Ayurveda treatises. In Ayurveda, reference of Gudapaka Kalpana (Jaggery confections) was for the first time mentioned in Chakradatta, Arsha Chikitsa1(treatment of piles). The main in- gredient in this formulation is Jaggery. Hence, such formulations have better palatability than any other Ayurvedic dosage form. Manibhadra Yoga2 is one such formulation. The aim of this study was to validate the method of manufacture of Manibhadra Yoga. Hence, three different methods of Gudapaka preparations were adopted in addition to novel methods. The details regarding the same will be discussed during the article.
Keywords: - Manibhadra Yoga, Gudapaka, Granules
A COMPARATIVE STUDY TO EVALUATE THE EFFECT OF MATRA VASTI IN KHARA PAKA WITH MADHYAMA PAKA IN JANU SANDHIGATA VATA
Authors: T.V Thulasi , George Joshi , H Rahul
Published: November 2021

Vasti has been told as Ardhachikitsa and is applicable in all the Vatavyadhi. As a general rule, when Rogas are caused by Vata Dosha alone, without the association of Ama, then Sneha Vasti should be given. Matra Vasti is one among the Bheda of Sneha Vasti, it can be given to any person irrespective of age and Ritu, without any strict regimen of Ahara and Vihara. SandhiVata is a Vatika disorders and Dhatukshaya is its prime factor. Vata Dosha is the regulator of other two Dosha, Dhatu and Mala and also all the body activities. Therefore, once Vata is con- trolled by Vasti, all these factors are automatically regulated, and total body equilibrium is achieved. Sandhigata Vata is characterized by symptoms like joint stiffness, joint pain, swelling and difficulty in joint movements, etc. Snehana is mentioned as one of the main treatments of Sandhigata Vata. According to therapeutic administration, Sneha Paka is mainly 3. Acharya Charaka and Vagbhata explained Sneha in Madhyama Paka for Vasti Karma, whereas Acharya Susruta opines Sneha in Khara Paka for VastiKarma. Here in this study, MatraVasti with KsheeraBala Taila prepared in two different Paka is selected. A group of 40 patients with signs and symptoms of Janu Sandhigata Vata, fulfilling the inclusion criteria and were randomly divided into two groups with number of twenty. MatraVasti with Ksheerabala Taila prepared in Khara Paka was given to Group A and Madhyama Paka was given to Group B for consecutive 9 days. Patients were evaluated thoroughly prior to the treatment, on 9th day of treatment and on 18th day of follow up period on the basis of subjective and objective parameters. Statistical analysis revealed that both groups were statistically significant in all subjective and objective criteria in after treatment results and after following up results.
A COMPARATIVE CLINICAL STUDY OF A HERBO-MINERAL COMPOUND DHATRI LAUHA WITH A CONTROL KNOWN DRUG IN THE MANAGEMENT OF PANDU ROGA W.S.R. TO IRON DEFICIENCY ANEMIA
Authors: Mahajan Roshi , Ankita Dr
Published: November 2021

Humans are progressively achieving new heights in the development of science and technology but at the same time it is difficult to follow the ways of healthy living as a consequence of which people are getting prone to many diseases. Among them “Anemia” is a very common disease, seen especially in developing countries like India. It reduces the work capacity of individuals and brings serious economic consequences and obstacles to the National Development. In this study, an effort has been put upon to explore the hidden potential laid in Ayurveda. So, in this research work, a comparative study was conducted between a herbo-mineral compound – Dhatri Lauha with a controlled group known drug. In the present study, total 30 patients were registered and randomly divided into two groups. Group A: 15 patients were included in this group and were given Dhatri Lauha 500mg BD oral- ly. Group B: 15 patients were included in this group and were given dried Ferrous Sulphate 150mg OD orally. The patients were assessed on subjective and hematological parameters for obtaining the effect of the drugs. Both the groups yielded highly significant results in subjective parameters. Again, highly significant and significant relief was seen in Nausea and constipation respectively in Group A whereas Group B showed insignificant results regarding nausea and constipation. The study Overall comparison of the therapy showed that the results were found better with high percentage relief in the patients under Trial Group i.e. Dhatri Lauha in comparison to the Control Group. The study concluded that the selected management has potential effect on Pandu Roga with the added advantage of being free from side effects.
Keywords: Herbo-mineral, DhatriLauha, hematological, Pandu roga.
STUDY OF EFFICACY OF PIPPALI VARDHAMANAK FOR TREATMENT OF VATARAKTA WITH SPECIAL REFERENCE TO GOUT
Authors: Bombatkar Snehal P. , Bombatkar Ruchita P.
Published: November 2021

Introduction- Vatarakta is an illness where both Vata and Rakta are afflicted by distinct etiological factors. Vata- rakta is also possible when Gati of Vata is hindered by morbid Kapha Dosha. In modern science Gout shows sim- ilar characteristics like Vatarakta. It is occurred by accumulation of urate crystals in tissues. It starts from small joints to major joints. Pippali Vardhamanak is advised by Aacharya Sushruta for treatment of Vatarakta and other Vata-Kaphaj Vyadhi. In this VardhamanMatra of Pippali is given as said by Aacharya. Pippali has anti- inflammatory, rejuvenating properties and also act as Vata-Kapha Shamak. Aim- To evaluate therapeutic efficacy of Pippali Vardhamanak in Vatarakta with special reference to Gout.
Objectives- To study therapeutic efficacy of Pippali Vardhamanak to reduce the symptoms of Vatarakta with special reference to Gout. Materials and Methods- The present study was conducted in 30 patients having clas- sical symptoms of Vatarakta. The patients were given Pippali Vardhamanak for 15 days.
Pippali has Katu Ras, Laghu-Teekshna Snigdha Guna, Madhur Vipaka and Anshna Veerya, due to these proper- ties it acts as Kaphashamak, Vatashamak and Raktashama, Strotoshodhana. Piperine inhibits monosodium urate crystals. Conclusion- Pippali Vardhamanak gives significant relief in Vatarakta with special reference to Gout.
Keywords: Vatarakta, Gout, Pippali, Pippali Vardhamanak
A COMPARATIVE CLINICAL STUDY TO EVALUATE THE EFFICACY OF SHUNTHYADI GUGGULU AND TRAYODASHANGA GUGGULU IN GRIDHRASI
Authors: S Keerthana. , D’souza Zenica
Published: November 2021

Gridhrasi is a pain predominant Nanatmaja Vata Vyadhi characterised by radiating pain through Sphik, Kati, Prishtha, Uru, Janu, Jangha and Pada in a sequential pattern. A number of medicines are available in market to treat this condition, but are associated with their side effects too. Hence, there arises a need for an effective, yet safe treatment for the suffering population to ease their problems of pain. In light of these considerations a comparative clinical study was planned to assess and compare the efficacy of two formulations, namely Shunthyadi Guggulu and Trayodashanga Guggulu. Statistically significant changes were observed in the symptoms like Ruk, Stambha, Toda, Muhuspandana, Tandra, Gaurava, Aruchi, Time taken to cover the distance of 50ft, SLR Active and Passive test (Affected leg).
Keywords: Gridhrasi, Shunthyadi Guggulu, Trayodashanga Guggulu, Sciatica.
ROLE OF SROTODUSTI IN THE PATHOGENESIS – A CRITICAL REVIEW
Authors: Pandey Khushboo , Srivastava Sanjay
Published: November 2021

Many fundamental principles have been explained in Ayurveda, having specific terminology which cannot be compare with any other terminology in modern medical science and Srotas is one of them, having more function- al importance rather than structural, which are enamors and Akasha Mahabhuta is mainly involves in its constitu- tion. Srotas play a significant role in the circulation and transportation of various materials including micronutri- ents throughout the body, having Khavvaigunya property which provides the space for accumulation of vitiated Dosha & Dushya. In the pathogenesis of any diseases ‘Doshadusya Sammurchhana’ is an important event, which happened in the Srotas and the whole process is known as Srotodusti. It is of 04 type viz. Atipravriti (Increase activity/flow), Sang (Obstruction), Siraagranthi (Reduction of the lumen of the system) & Vimarggaman (Oppo- site direction flow). The management of disease depends upon Srotodusti as well as type of Srotas involved in the pathogenesis of specific disease. The characters of Srotas involve and type of Sroto Dusti affect the treatment plan and as well as the prognosis of disease.
Keywords: Srota; Sroto Dusti; Ati Pravriti; Sang; Siragranthi; Vimarggamana.
A COMPARATIVE CLINICAL STUDY TO EVALUATE THE EFFICACY OF LAVANGADI GUTIKA AND PIPPALYADI GUTIKA IN KAPHAJA KASA
Authors: Sugunan Risin , D’souza Zenica
Published: November 2021

Kasa is one of the Pranavaha Srothodusti vikara which hinders normal life. Kaphaja Kasa is a type of Kasa with Vata and Kapha as predominant doshas and present with Prabhuta, Ghana and Bahala kapha. Kaphaja Kasa can be best compared with Chronic Bronchitis. If left untreated it leads to various conditions like Swasa, Kshaya, Chardi, Svarasaadha etc. This signifies the importance of its early management. The present study was conducted on 40 diagnosed subjects of Kaphaja Kasa who were randomly allocated into 2 groups with 20 patients each. La- vangadi gutika was taken in Group A and Pippalyadi gutika in Group B. Medicines was given for 30 days and the data was collected from the subject at baseline, 16th day, 31st day and on 46th day (follow up). The result of the study showed that there was a statistically significant difference in the assessment parameters in both the groups from baseline. However no statistically significant difference was observed between the effect of Lavangadi guti- ka and Pippalyadi gutika in the management of Kaphaja Kasa suggesting that both interventions were having a significant effect on the condition.
COMMON OCCUPATIONAL LUNG DISORDERS IN CURRENT INDIAN POPULATION AND PRINCIPLES OF AYURVEDIC MANAGEMENT
Authors: S Keerthana. , D’souza Zenica
Published: November 2021

Occupational lung diseases are caused primarily as a result of exposure to risk factors arising from the work envi- ronment. Persons with few weeks of exposure to workplace hazards may experience mild symptoms, whereas long term exposure results in a complicated presentation like severe respiratory debilitation and even death. Occupational lung diseases may be misdiagnosed as COPD or other diseases, which leads to delay in the identification of the etiological factors. There is no treatment for any of the occupational lung diseases that can reverse the damage already done. So, prevention of occupational exposure is the primary strategy in these ailments. In the present era, people are turning towards Ayurveda for chronic disease management, so a long-term approach to these could be beneficial in the management of occupational lung diseases. So, it's the need of the hour for an Ayurvedic physician to be accustomed to occupational diseases and their management through Ayurveda. Keywords: Occupational lung disorders, Ayurveda for OLD, Yoga and Pranayama.
Comparative Study of Various Nuclear Medicine Imaging Technique - A Review
Authors: B N Beena Ullala Mata , Pal Anup Kumar , Sivadasan Hrithik , Mishra Himanshu
Published: November 2021

Nuclear Medicine is a medical specialty that allows modern diagnostics and treatments using radiopharmaceuticals original radiotracers (drugs linked to a radioactive isotope). The radiopharmaceuticals are considered a special group of drugs and thus their preparation and use are regulated by a set of policies that have been adopted by individual member countries. The radiopharmaceuticals used in diagnostic examinations are administered in very small doses. So, in general, they have no pharmacological action, side effects or serious adverse reactions. The most serious issue with their use is the potential for diagnostic mistakes due to changes in their biodistribution. The appearance and development of new radiopharmaceuticals in both the diagnostic and therapeutic domains, as well as the impact of new multimodality imaging techniques, are all having a significant impact on nuclear medicine (SPECT-CT, PET-CT, PET-MRI, etc.). It is crucial to understand the techniques limitations, radiopharmaceutical distribution and potential physiological changes, radiological contrast contraindications and bad responses, and the possibility of both interfering. The process of generating radiopharmaceuticals is introduced and relevant interactions of radiation with matter are discussed. Diagnostic nuclear medicine instrumentation is explained, and future trends in nuclear medicine imaging technology are forecasted.
Ocean Waste Detection Model
Authors: Khandaskar Sujata , Tayde Siddharth , Sawant Aditya , Masand Nikhil , Singh Barun
Published: November 2021

The number of marine debris is excellent in understanding the diagnosis of debris from all oceans of the world and the identification of the highest levels of waste disposal that is most necessary for the removal of waste. Currently, the standard for floating waste management requires the use of a manta trawl. Techniques that require manta trawls (or similar ground-collection devices) that use the physical removal of marine debris as a first step and then analyze the collected samples as a second step. The need for pre-analysis removal is very costly and requires significant oversight - preventing the safe transfer of marine waste monitoring services to all Earth's marine bodies. Without better monitoring methods and samples, the overall impact of water pollution on the entire environment. This study revealed an unusual flow of activity that used images taken from aquatic debris as roots. Produces quantification of marine plastic or waste incorporated into photographs to perform accurate quantification and body removal. This model is trained in the ImageNet Large Visual Recognition Challenge using the 2012 data and can distinguish between many different classes such as cardboard, glass, metal, paper, and plastic. This program uses the transfer of learning from the existing model and then returns it to separate a new set of images. Workflow involves creating and processing domain-specific information, building an object acquisition model using a deep neural network.
A Conundrum of Peer Evaluation of Predicting Poor Prognostic Models Affecting the Mortality Rate of Covid -19
Authors: J Yashaswini , K R Niranjan , B N Beena Ullala Mata , C S Kaliprasad
Published: November 2021

Mankind is confronting these days a histrionic pandemic scene with the Coronavirus proliferation over all continents. The Covid-19 pandemic outbreak is as yet not very much portrayed, and numerous research teams everywhere on the world are chipping away at one or the other restorative therapeutic issues or immunization issues. The outburst of COVID-19 has constituted a danger to wellbeing of world. With the expanding number of individuals tainted, medical services frameworks, particularly those in economically emerging nations, are bearing gigantic pressing factor for the devising a prognostic model. There is a dire requirement for the analysis of COVID-19 and the anticipation of inpatients. To diminish these issues, a data statistical information driven clinical aid framework is advanced in this paper. In view of two real world datasets in Wuhan, China, the proposed framework coordinates information from various sources with tools of Machine Learning (ML) to anticipate COVID-19 tainted likelihood of suspected patients in their first visit, and afterward foresee mortality of affirmed cases. As opposed to picking an interpretable calculation, this framework isolates the clarifications from ML models. It can do help to patient triaging and give some valuable guidance to specialists and doctors. A prognosis model is in the way of extraordinary premium for specialists to adjust their consideration methodology for therapeutic or diagnosis procedure.
d*g? –Homeomorphism and d*g?c–Homeomorphism in Topological Spaces
Authors: Vigneshwaran M. , Ranganayaki S.
Published: November 2021

In this paper, the concepts of d*g? - homeomorphism and d*g?c - homeomorphism are introduced and the relationships between the newly defined homeomorphisms and the existing homeomorphisms are established and some of their properties are derived. It is show that the composition of two d*g?-homeomorphisms need not be d*g? - homeomorphism.
Properties and Applications of d*g? - Closed Sets in Topological Spaces
Authors: Vigneshwaran M. , Ranganayaki S.
Published: November 2021

We introduce the concept of d*g?-closed sets in a topological space and investigate their properties. Moreover, we investigate new separation axioms and new functions in topological spaces.
Utilidad del Deep Learning en la predicción del fracaso empresarial en el ámbito europeo
Authors: Romero Martínez Mariano , Carmona Ibáñez Pedro , Pozuelo Campillo José
Published: November 2021

En este trabajo pretendemos constatar la utilidad de las redes neuronales del Deep Learning en la predicción del fracaso empresarial, en particular, de las redes de alimentación hacia adelante (feedforward neuronal networks, en inglés). Se trata de una metodología caracterizada por proporcionar muy buenos resultados en términos de capacidad predictiva cuando se dispone de grandes tamaños muestrales. Para ello hemos desarrollado un modelo de predicción empresarial en empresas europeas, basado en dicho algoritmo, sobre una muestra formada por 61.624 empresas de las cuales 12.128 fueron declaradas en concurso en 2016. Como variables independientes se han considerado ratios y magnitudes económico-financieras obtenidas de las cuentas anuales del año anterior a la fecha del fracaso. Deep Learning logra una capacidad predictiva del 94%, de manera que presentan una mayor propensión al fracaso aquellas que tienen un mayor tamaño y una solvencia menor. Los resultados que se presentan se han contrastado en una submuestra de comprobación independiente y diferente a la empleada para estimar el modelo.
Uso de memes na conversação digital
Authors: Lima Ana Cristina Paula , De Souza Sandra Maria Ribeiro
Published: November 2021

Este artigo trata dos memes visuais da internet, de sua conceituação e usos na conversação em redes sociais, sobretudo no Facebook, onde ocorreu a observação empírica que deu origem à presente pesquisa. Destaca seis tipos ou categorias de memes mais frequentes em circulação digital e enfatiza a expressão cômica como uma habilidade cultural emergente dos usuários das redes sociais.
Ecomuseu da Comunidade Quilombola de São Pedro de Cima
Authors: Menezes Maria Lúcia Pires , Leopoldo Dayana Francisco , Morais Vitor de Castro
Published: November 2021

O projeto ECOMUSEU da Comunidade Quilombola de São Pedro de Cima, foi pensado e organizado enquanto projeto de extensão universitária contando com professores e estudantes do curso de Geografia da Universidade Federal de Juiz de Fora. O ponto de partida deste projeto surge de um trabalho de campo realizado no ano de 2007 na disciplina de Geografia Agrária a partir de então constrói-se uma teia com a comunidade e a mesma passou a apresentar demandas que vão deram origem a este projeto extensionista. A comunidade quilombola de São Pedro de Cima constitui uma realidade sociocultural geográfica extremamente rica, sendo essa realidade um dos motivos para a realização desse trabalho extensionista O atual projeto tem como objetivo o enriquecimento de acervos materiais e imateriais para a composição do ECOMUSEU interagindo com outras comunidades. O projeto tem sua relevância por propiciar a inter-relação entre os diferentes atores da comunidade local e com as instituições presentes, em espacial a escola pública. Sendo assim este trabalho visa contribuir para discussões principalmente econômicas e socioculturais acerca dos processos agrários brasileiros que foram responsáveis pelo surgimento de territórios excluídos e que hoje interagem com o modelo agroexportador fomentado pela política brasileira.
Differential Equations Applied to Photopyroelectric Detection
Authors: Lima Gloria Maria Conde , Albuquerque Marcos Lazaro de Souza
Published: November 2021

The present research aimed to study the technique of photopyroelectric detection, it is specifically setting SPPE. Besides performing graphics simulations analytical amplitude and phase of the thermal signal due to the modulation frequency generated to obtain ownership for a sample thermal diffusivity of vegetable oil.
The Effect of Nonlexical Verbal Signals on the Perceived Authenticity, Empathy and Understanding of a Listener
Authors: Leisten Luca M , Findling Franziska , Bellinghausen Jonas , Kinateder Max , Probst Thomas , Lion Despina , Shiban Youssef
Published: November 2021

Active listening plays an important role in the relationship between clients and therapists. Here, we investigated whether variations of the confirmatory nonlexical verbal communication signal “mmh” influenced perceived authenticity, empathy, and understanding of a listener. Eighty-one participants were in a conversation with an interviewer and reported about a difficult work experience. They were randomly assigned to one of three groups: the control group did not receive any verbal feedback from the interviewer; in one experimental group (1x-mmh), the interviewer uttered several monosyllabic confirmatory nonlexical verbal signals (“mmh”) during the presentation; in a second experimental group (3x-mmh) the interviewer voiced several tri-syllabic “mmh-mmh-mmh” while listening. All participants were then asked to rate the perceived authenticity, empathy, and understanding of the interviewer. Participants in the 3x-mmh condition rated the interviewer to be significantly less authentic than those in the other two groups. No differences in reported empathy and understanding were found. The use of consecutive confirmatory nonlexical verbal signals (“mmh”), at least as currently implemented, may influence the perceived authenticity of a listener.