Volume 8 | Issue 12

 Abstract

Purpose of the current study was to determine the relative contribution of the student�s motivation, fluid reasoning and working memory to the prediction of mathematics learning. The study was conducted at Durgapur KC high School in West Bengal. Out of all 5th-8th graded students, only two hundred late childhood students aged 10-13 years were taken as sample by simple random sampling. In the 2019 academic session, three tools named Muthee achievement motivation inventory (Muthee & Thomas, 2009), Raven�s Standard Progressive Matrices (SPM), and Working Memory Index - Digit Span and Letter-Number Sequencing (WISC-IV) were administered to measure students� motivation, fluid reasoning and working memory respectively. The test score for the whole year, including the final exam of the 2019 academic session, were taken as a dependent variable to measure how much students were learning math. The result showed that student�s motivation, fluid reasoning and working memory were predictor of math learning statistically significant. Cognitive abilities such as fluid & crystallized intelligence, working memory and mathematical memory (LTM), intrinsic motivation all work together when solving problems, resulting in math learning.

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Fluid intelligence, Math learning, Motivation, Working memory.

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The maximum number of flows that can be sent from the source to the sink is addressed in Maximum Flow Problem. The algorithm for Edmonds-Karp is a modified version of the algorithm for Ford-Fulkerson. The solution to this has also been demonstrated by the use of the proposed method to justify the utility of the approach proposed. Since certain parts of its protocol are left unspecified, Ford-Fulkerson is often called a process. On the other hand, Edmonds-Karp offers complete specifications. Most notably, it states that during the intermediate phases of the programme, breadth-first search should be used to find the shortest paths. Like Ford-Fulkerson, Edmonds-Karp also deals with max- flow min - cut problems. The maximum flow in Edmonds-Karp algorithm is a highly polynomial time algorithm. This algorithm uses BFS to find augmenting paths.

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The maximum number of flows that can be sent from the source to the sink is addressed in Maximum Flow Problem. The algorithm for Edmonds-Karp is a modified version of the algorithm for Ford-Fulkerson. The solution to this has also been demonstrated by the use of the proposed method to justify the utility of the approach proposed. Since certain parts of its protocol are left unspecified, Ford-Fulkerson is often called a process. On the other hand, Edmonds-Karp offers complete specifications. Most

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Measurement systems for early and reliable detection of degenerative diseases, like Alzheimer�s disease (AD), are extremely important in clinical diagnosis. Among these, biochemical assays represent a commonly used method to differentiate patients from healthy population thanks to the sensitive recognition of specific biomarkers in biological fluids. So on beat actual limitations of these techniques in term of cost, standardization, and sensitivity, this study aimed to grasp a low-cost sensitive portable point-of-care (PoC) testing system supported on screen-printed electrochemical sensors. The designed circuit was implemented during a electrical device board and interfaced to a wireless system supported IOT data transmission so on enhance the portability of the proposed solution. Preliminary results were obtained by using controlled concentrations of electrolytic solutions and calibrating the sensors for antibodies and for a documented protein (i.e., interleukin 8) quantified by anodic stripping voltammetry (ASV). Findings from ASV measurements showed a sensitivity of 38 �A/(ng/ml) with a tested range from 1.25 ng/ml, with a limit of detection of two ng/ml. Further investigation will includes the validation of this PoC device by testing the concentration of a particular p53 protein isoform, which was recently identified to early correlate to AD development.

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Screen printing Sensor, Electrochemical biosensor, voltammetry, point-of-care(PoC) testing, wireless data acquisition device.

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The present study investigated the study habits of senior secondary school students in relation to their gender, stream and type of institution. This study is conducted on a random sample of 520 Students (10+1, 10+2) from 20 (10 Government and 10 Private) senior secondary schools of Mandi district of Himachal Pradesh. Descriptive Survey method is used to collect the data by using Study Habits Inventory (SHI) developed by Mukhopadhyay and Sansanwal. The findings of the study reveal that private senior secondary school students has poor study habits in concentration area as compare to Government senior secondary school students. Therefore, the students of private schools should be given more personal attention by teachers and parents as for as study habits are concerned. Students of Government senior secondary schools have poor study habits as compare to students of private schools in supports area. Therefore, there is a pressing need to facilitate Government schools with rich supports material.

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Study Habits, Senior Secondary School Students, Stream of Studies, Type of Institution

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Since time memorial man has been dependent on Mother Nature for his all sorts of needs. This dependency of human beings on natural resources is increasing day by day with the increase in population. This ever-growing assault on the limited resources is affecting the sustainability, especially the non-renewably energy resources. Conservation for sustainable future is need of the hour and led to the paradigm shift from the use of non-renewable energy resources to renewable energy resources. And use of water resources to meet out increasing energy requirement of any economy or society has increased to greater extent in past four decades and almost all rivers/rivulets in Himalayan region has been targeted and Ravi basin in Northern western Himalayas is not an expectation. Ravi being one of the five perennial rivers of Himachal Pradesh, as per official records the hydropower generation potential capacity of this basin has been assessed 2301.5 MW and out of which 1038.5 MW potential has been commissioned so far by installing four major power projects. There are more than 100 mini and micro hydroelectric power projects are in different stages of their execution. In approximately 20 kms long Saal valley there are 8 mini power projects are in different stages of their execution. As per the version of PRIs these projects are expected to affect the lives of thousands of villagers negatively as well as the physical environment of the area. Because of opposition of people as well as in view of natural disasters the viability of such power projects in north west Himalayas is being questioned. The disturbances in the lives of thousands of people and fragile physical environment can be saved by using the Dr. Anil Joshi�s model of converting water mills into electricity producing units.

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Development; Natural Resources; Ravi Basin; Power Projects; Viability

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Heterocyclic chemistry comprises at least half of all organic chemistry around the world. Quinazoline and its derivatives constitute an important class of heterocyclic compounds. The chemistry of quinazoline compounds has a centuries-old history; However, intensive exploration of biologically active substances in this series began only in the last few decades. This current communication attempts to cover the pharmacologically active compounds with recent discoveries that were made about these biological activities.

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quinazoline compounds, medicinal chemistry, dibromosubstitution

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Elie Wiesel (1977) stated: �If the Greeks invented tragedy, the Romans the epistle, and the Renaissance the sonnet, our generation invented a new literature, that of testimony (p. 9). Wiesel refers to testimony theatre as the most prominent innovation of modern playwrights. While Albert Einstein once observed that �the secret to creativity is knowing how to hide your sources,� others state that testimony theatre does the opposite. This genre of factually-based theatre is based originally on saying the unsaid and unveiling the unknown, as practitioners argue (Hammond and Steward, 2008, p. 9). However, the relation between this genre of theater and journalism is arguably problematic. The purpose of this study is to find satisfying answers for these questions: What is the main reason of the flourish of testimony theatre in the twentieth century? Why have traditional fictional works become inadequate in dealing with burning issues? Why has journalism failed in tackling such serious social and political issues? And how factually-based theater managed to compensate this role?

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Dramaturgy, Conventions, Testimony Theater, Verbatim Theater, Factually-based Theater, Theatre of Journalism.

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Few many years ago, the businesses have dedicated sufficient resources to consider new systems. The cause of this adoption would be to achieve the competitive benefit at end and also to attract new clients however. It is really a due proven fact that the financial sector is actually among the sectors that change drastically due to technological development. The reason for this study would be to examine the actual factors that affect cellular banking (M-banking) popularity in Islamic banking institutions of Pakistan using the modified single theory associated with acceptance and utilization of technology (UTAUT) design. The overall performance expectancy, assisting conditions, interpersonal influence, work expectancy, recognized value, routine and hedonic inspiration are used as impartial variables. Likewise, the intention to consider M-banking is actually taken since the mediator, and real usage can be used as the actual dependent adjustable. Two popular methods tend to be covariance-based as well as variance-based. In this study, the actual variance-based technique, the PLSSEM, is put on evaluate the actual assumptive design. However, this process has minimal limitation upon sample dimensions and recurring distributions when compared with other covariance-based techniques. Estimates were in line with the two-step directions of Anderson as well as Gerbig (1988) as well as were completed in two steps. Within the first phase, reliability as well as validity from the model had been examined and within the second phase, the evaluation from the structural model and also the hypotheses had been tested.

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mobile banking online banking

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Complex and critical elements of any modern aircraft are aircraft communication, navigation and flight control systems, and many other functions. Current avionic systems are more and more computer oriented, and software can be attributed to a growing percentage of device complexity. An airplane protection software error may lead to tragic incidents, such as many fatalities and aircraft losses. Certification agencies recognise the submission of compliance report for RTCA document DO-178B/C for software creation to show compliance with airworthiness specifications. The production of Avionics software is generally complex and historically depends on a rigorous planning process, with early setting of comprehensive requirement and late manufacturing of working software. This can result in a lot of reproaching and risk of budget overruns and schedule adjustments and software bugs being fixed. This raises the issue of the use of agile techniques in the production of avionics software. Based on the findings of two activities: an industrial literature review with the implementation of agile methodology in a DO-178B/C context, and a professional evaluation of the DO-178B/C objectives, an agile development framework is presented where Scrum is enhanced to achieve the DO-178B/C goals. Applying agile practices can help produce working applications on a daily basis and be able to adapt to changes, thereby lowering the risk of budget and schedule overruns.

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Avionics, Certi?cation, Safety critical software, DO-178B/C, Software Life-Cycle, Agile, Scrum

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Purpose of the study is to find out whether the Selective Attention and Response Set of students are affect by Divergent Production Abilities, for this investigation Sample of 120 undergraduate subjects were taken for this study from the population which was equally classified in which students having higher level of divergent production abilities 60 (30 Male & 30 Female) & students having lower level of divergent production abilities 60 (30 Male & 30 Female) from Marathwada region irrespective of area of living. The sampling was simple random (a type of probability sampling). Divergent Production Abilities was determined on the score obtained from the norms given in the Divergent Production Abilities by K.N. Shrma, and to assess the Selective attention and response set of students the Stroop Colour and Word Test by Charles Golden & Shawna Freshwater (2002) Stoelting Co. IL. was used. Mean, S.D. & Multiple Regression Analysis was applied to find out the difference between groups. The result obtained through the study showed that Divergent Production Abilities with Gender were statistically correlated and significant predictor of selective attention and response set of students.

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Divergent Production Abilities, Selective Attention and Response Set, Gender

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COMPARATIVE STUDY ON SPEED AND AGILITY BETWEEN INDIGENOUS AND NON-INDIGENOUS GAME PLAYERS IN BIRBHUM Himlu Chowdhury1; Dr. Ashok Kr. Goon2 Research scholar DPESS visva- bharati1; Professor DPESS Visva-bharati2 ABSTRACT Background: There are a considerable number of published studies related to the kinanthropometric and physiological variables but there is little data on the motor performance of soccer players in Bolpur region according to playing level. Purpose of the study: The purpose of the present study was to compare the speed and agility between indigenous and non-indigenous game players in birbhum. Method and Design: For the purpose of these study forty (40) male players was selected, twenty (20) from the indigenous sport kho-kho and twenty (20) from by non-indigenous sport football who represent different competition at subdivision, district & state level have been selected randomly. Their age ranged between 14 to 16 years. The study was conducted only on the male players. For the present study the chosen variables were speed and agility and for the collection of the data the following tests were used: 20 meter sprint for measured the speed and arrowhead agility test for measured the agility. To determine the differences, if any, the independent t-test was calculated. The data was processed by means of the MS Excel Data Analysis tool pack. Result & Discussion: That insignificant difference exists between the group when compared with speed (p= 0.25), agility (p=1.67), the finding of the present study was that significant differences were absent between the two groups i.e. indigenous and non-indigenous players. Conclusion: The study suggested that there are significant differences were absent between the two groups i.e. indigenous and non-indigenous players. .

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Key Words: Speed, Agility, Indigenous and Non-indigenous players.

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Charles Dickens keeps on being one of the most broadly read Victorian (nineteenth-century) authors. Miser, David Copperfield, Oliver Twist, and Nicholas Nickelby stay natural characters today. His books portray the life and states of poor people and common laborers in the Victorian period of England, when individuals lived by exacting rules. His first novel, The Pickwick Papers, turned into a tremendous mainstream achievement when Dickens was just 25, and he was an artistic big name all through England for the rest of his life.Charles Dickens keeps on being one of the most broadly read Victorian (nineteenth-century) authors. Miser, David Copperfield, Oliver Twist, and Nicholas Nickelby stay natural characters today. His books portray the life and states of poor people and common laborers in the Victorian period of England, when individuals lived by exacting rules. His first novel, The Pickwick Papers, turned into a tremendous mainstream achievement when Dickens was just 25, and he was an artistic big name all through England for the rest of his life.

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Charles Dickens, Victorian, Industrial Revolution, Employment etc.

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Handling the advancing COVID-19 pandemic requires a multidimensional methodology. The governments, health sector, community as well as every individual have a vital task to tackle the transmission of disease. Medical services experts should be prepared in the clinical administration of this quickly spreading viral disease; in order to empower them to swiftly recognize and treat every single contaminated person. It is of principal significance that medical services experts are effectively associated with contamination control and given satisfactory individual defensive gear to shield themselves as well as those encompassing them too. As far as treatment is concerned, several vaccines are undergone clinical investigation phase; out of which some have shown promising results during trial and are about to available for everyone within short period of time.

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COVID- 19, multidimensional methodology, vaccines

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The first COVID 19 positive incidence was reported on 9th March 2020 in the Indian State of Maharashtra. At present, the Maharashtra state became an epicenter of the COVID 19. So far, more than 11 lakh people were affected, and out of which, 7.75 lakh were recovered in the Maharashtra State. The COVID 19 situation in the Kolhapur district is also worst; it has reported 34482 cases, 1036 casualties, and 23785 recovered patients. Initially, the cases were reported in urban areas of the district, later on, it started spreading rapidly in the rural area. The district administrations strictly took up the lockdown, Janta curfew, and other measures, and they humbly attempted to control the rapid spreading of COVID 19. During this peak phase of COVID 19, all the economic activities of the district have been shrinking which resulted in an increasing rate of unemployment on one hand and reducing the income on the other hand. Especially, small, medium and village cottage industries are major sufferers of this pandemic. The village economy of the district has disrupted adversely. The farmers, agricultural laborers, daily wage workers, small storekeepers, street vendors, and women workers are affected very badly. The village economy of the district especially the rural household sector highly depends on microfinance. Self-help groups and farmer's clubs mainly depend on the supply of microfinance. Microfinance institutions in the Kolhapur district are playing a very significant role in poverty eradication, employment generation, women's economic empowerment and overall improving the socio-economic conditions of the deprived segment of the society through offering easy credit access. The overall activities of the microfinance institutions i.e recovery mechanism, sources of finance, monitoring and inspections, etc. are almost stopped in the district since March 2020. The pandemic ending point is still unpredictable which will further affect the working of microfinance institutions in the district. Under this backdrop, the very first aim of the present investigation is to study the issues faced by the microfinance institutions in the district during this pandemic and secondly to study prospects of microfinance in the district. The study was carried out in August 2020 and 19 financial institutions were selected for precise study. The entire study was based on primary data collected from the questionnaire. The study found that all the sample 19 financial institutions are badly suffered and experienced heavy financial loss during this pandemic.

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COVID 19, Microfinance Institutions, Recovery Mechanism, KPI

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ABSTRACT Incidence and extent of typhoid fever was conducted based on the samples collected from the patients attending general hospital of Geidam Yobe state, Nigeria and Jibo Rahama medical laboratory. Widal blood test and rapid slide titration method was used in this research work for typhoid fever injection diagnosis by putting the blood sample collected in the EDTA container, then it was place in a test tube and spinned in centrifuge machine at 1000rpm (revolution per minute) for 5 minute where it separated the serum from blood. An eight (8) drops of serum was place on a clean white tiles separately, eight drops of widal antigens was dropped respectively. Mixture was mixed to give homogenous solution and the tile was rotated at least for 5 to 10 minutes, the reaction was observed visually. Out of the 24 samples collected, nine (9) were tested positive and it was more prevalent between the age classes: 1-10, 11-20, 21-30 and 30 -40. It was observed that two (2) out of the nine patients are male while seven (7) were female, and this suggest that typhoid fever is more prevalent in female sex than in male sex. However, it should be noted that in this study there were more female patients than male therefore, valid conclusion cannot be made regarding the sex which suffers more. In a nutshell, improper sanitation is responsible for the wide spread of typhoid fever in most localities in developing countries like Nigeria, because the species that cause typhoid fever breed well in an unsanitary practice in preparation of food and drinks with water contaminated with fecal matter. It is known that the symptoms of typhoid fever mimics those of malaria fever, therefore proper investigation should be carried out before medication.

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Disease, Infection, typhoid Fever, patient, Salmonella typhi, Widal test

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This paper reveals that medical students encounter multiple emotions in transformation from insecure students to young knowledgeable physicians, leading to a growing concern about psychological distress in medical training. Torturous admission protocols, portions beyond horizons, new skills to be mastered, expectations of family members, competition and the uncertainty involved about the future comprise a few among the background stressors. The objective was to study stress, depression and anxiety in medical students in comparison with engineering students. A cross-sectional study was conducted comparing perceived stress, depression and anxiety among 150 medical and 150 engineering students selected through randomized sampling. Perceived Stress Scale, Zung depression and Zung anxiety scales were administered to the selected students. Seventy-two percentage of medical students perceived moderate and high levels of stress compared to 56.7% of engineering students in this study. Overall prevalence of depression was higher among medical students (20.6%) compared to engineering students (15.3%). Anxiety was also higher among medical students (19.4%) compared to engineering students (11.3%). Medical students perceived more stress when compared to engineering students. Rates of depression and anxiety were also higher among them. Stress interventional strategies need to be designed to improve the psychological wellbeing of the students and consequently improve the doctor patient relationship. This study suggests to promote stress management modalities early in the medical career.

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Anxiety, Depression, Engineering students, Medical students, Stress

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In this paper the study of PV array configuration is determine whether the configuration of a photovoltaic array minimize the effect of partial shading conditions. To study the effect of solar PV module on partial shading a module of size 5�5 of series (S), parallel (P) series-parallel (SP), Bridge-linked (BL) Total-cross-tied (TCT), and Honeycomb (HC) have been assembled. The results of proposed solar PV module configuration have been compared in terms open-circuit voltage, short-circuit current, global maximum power (GMPP), Local maximum power (LMPP), V-I Characteristics, etc. furthermore, mismatching power losses, fill factor efficiency and power productivity can be calculated to validate the proposed solar PV array configuration.

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Series (S), parallel (P), Series-parallel (SP), Total cross tied (TCT), Bridge-linked (BL), Honeycomb (HC), by pass diode, blocking diode.

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Abstract: KNN algorithm is the simplest supervised machine learning algorithm it is mostly used to classification. It the method where KNN algorithm save the data and classifies new cases on a similarity measure according to that data. K value in KNN is most impactable and the high influence on the performance of the KNN algorithm. Other terms of data mining are knowledge extraction, knowledge mining from data base, data or pattern analysis, classification of data. Classification is one the data mining technique to predict the unknown data class with their training set with known class labels data sets. KNN is used to classify future data and it�s easy to implementation and it has higher accuracy.

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machine learning, supervised learning algorithm, data mining, classification algorithm

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Banking sector is characterized through high competition and in order to stay alive in the market place, employers have to understand the need for ongoing professional development to provide their employee to better deal with the demands of the dynamic situation. This study focuses ongoing professional development practices followed by the employees of both PNB and ICICI bank. The primary data for this study was collected through a structured questionnaire that was personalized with the help of literature. The questionnaire comprised of ten items, categorized into four sections, which are demographic, general perspective, importance and role and challenges. These findings suggest that by boosting the ongoing professional development activities within the banking sector the employees could be pleased and get emotionally involved with their work.

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Ongoing Professional Development,Financial Institutions

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Stock market movements are becoming ambiguous for the investors due to its nature of influential factors. The risk can be reducing through the process of machine learning and deep learning algorithms. The RTP process is given input to reinforcement learning (RL) agent that provides the promising results for optimization process. Hyper parameter optimization is considered as more accurate forecasting model for evaluating Technical indicators and fundamentals. The stability of model has been demonstrated in terms of changes in feature importance.

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Stock market movements are becoming ambiguous for the investors due to its nature of influential factors. The risk can be reducing through the process of machine learning and deep learning algorithms. The RTP process is given input to reinforcement learning (RL) agent that provides the promising results for optimization process. Hyper parameter optimization is considered as more accurate forecasting model for evaluating Technical indicators and fundamentals. The stability of model has been demon

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