Interdisciplinary Science articles list

The work presented in this paper is analysis and design of power efficient Network on Chips (NoCs). NoC architecture, routers, structure of NoC, topologies and their components has been discussed in this work. The parameters likely speed, latency, static and dynamic power is analyzed. This work found better results as compared to previous works.

ASHISH MULAJKAR

Network on a chip is a concept in which a single silicon chip is used to implement the com-munication features of large-scale to very large-scale integration systems. For high-end System on Chip de-signs, Network on Chip is considered the best integrated solution. NoC has several advantages over dedicat-ed wiring and buses i.e. increased bandwidth, low latency, less power consumption and scalability. Reduc-tion in the latency (end-to-end latency and network latency), loss probability, energy consumption and re-sponse time are the basic parameters which are considered by the researchers for the optimization of the networks-on-chip topologies. In this paper we review the most popular technologies and also some recent topologies for interconnection networks. We study their performance and summarize their strengths & weakness.

ASHISH MULAJKAR

One of the unique features of Indian society is prevalence of caste system which was originated thousands of years back to demarcate the people engaged in different occupation or jobs. Initially it was not much rigid but gradually people belonging to upper castes for their own selfish means to maintain their monopoly made this arrangement hereditary and started treating people of lower castes disgracefully. For preservation of this system, people started controlling their women to prevent inter-caste marriages and the concept of endogamy came up. This robbed away many types of freedom from women. For women belonging to lower castes, this situation is worse as they are doubly subjugated on the basis on caste as well as gender. Men belonging to their own caste treat them as secondary beings. This paper throws light on this intersection. How intersection of these two kinds of inequalities place them at the lowest position in Indian society. Dr. B.R. Ambedkar rises as their leader who all his life worked for empowerment of downtrodden section of society. He argues that education is the primary tool for evading these differences among people. He further emphasizes to adopt the concept of exogamy to break the backbone of Indian caste system and to immediately leave a religion or culture which legitimizes such system of inequality among people of the same land.

Swati sharma

One of the unique features of Indian society is prevalence of caste system which was originated thousands of years back to demarcate the people engaged in different occupation or jobs. Initially it was not much rigid but gradually people belonging to upper castes for their own selfish means to maintain their monopoly made this arrangement hereditary and started treating people of lower castes disgracefully. For preservation of this system, people started controlling their women to prevent inter-caste marriages and the concept of endogamy came up. This robbed away many types of freedom from women. For women belonging to lower castes, this situation is worse as they are doubly subjugated on the basis on caste as well as gender. Men belonging to their own caste treat them as secondary beings. This paper throws light on this intersection. How intersection of these two kinds of inequalities place them at the lowest position in Indian society. Dr. B.R. Ambedkar rises as their leader who all his life worked for empowerment of downtrodden section of society. He argues that education is the primary tool for evading these differences among people. He further emphasizes to adopt the concept of exogamy to break the backbone of Indian caste system and to immediately leave a religion or culture which legitimizes such system of inequality among people of the same land.

Swati sharma

In this paper, we attempted to review the soil erosion studies conducted throughout the globe using Revised Universal Soil Loss Equation (RUSLE). We searched the SCI, Scopus, Web of Science, Google Scholar database and various theses for this study. Though RUSLE is the most widely used model for estimation of soil erosion, the factors, namely rainfall erosivity, soil erodibility, slope length and steepness, cover management and conservation practice; vary greatly over different climatic zones, soil properties, slope, land cover and crop phase, respectively. Depending upon those variations, researchers have developed various sets of equations for different factors of RUSLE. These equations can be useful to map soil loss for many places on this planet.

Kaushik Ghosal

The study examined the impact of school enrolment growth on the carrying capacity of universities in Imo State, Nigeria. Three research questions and hypotheses guided the study. The study adopted the descriptive survey design with a population of 2,929 academic staff in the two public universities in Imo State. The sample size was 352 representing 12% of the population drawn using stratified random sampling technique. An instrument titled ‘School Enrolment Growth and Carrying Capacity of Universities Questionnaire (SEGCCUQ)’, structured on the 4 point scale, validated by experts and with reliability index of 0.84 was used for data generation. Mean and standard deviation were used to answer the research questions while z-test was used to test the hypotheses at 0.05 alpha level. Among others, the study revealed that factors such as natural increase of population, influx of migrants, enforcement of compulsory education, raising of school-leaving age, increased enrolment of girls and so on influence school enrolment growth that bear on the carrying capacity of universities. It was recommended among others that the factors should help the governments and institutions to forecast enrollment more effectively likewise permit them to make adjustments to meet current or future enrolment.

FXintegrity Publishing

The wet coating of anhydrous borax powders with stearic acid (SA) to reverse their inherent hydrophilic surface properties was investigated. The coating procedure was based on the results from a previous study that revealed that the stearic acid solution (2 wt. % SA) mixed for 60 minute at 750 rpm on the magnetic stirrer was sufficient for the surface modification of anhydrous borax. For the experiments, stearic acid powders were first dissolved in water at 80 °C. The mixture obtained by adding anhydrous borax powders to this solution was vigorously mixed on a magnetic stirrer to initiation and completion the surface modification. Each of these solutions was then filtered using a filter paper to separate the undissolved particles, and the residue on paper was dried at 50 °C for 48 h until constant weighing was obtained. Wettability has been accepted as a key parameter for success in wet coating treatment. This parameter gained via the experimental characterization technique was used for an evaluation of the powder properties. The degree of wettability of anhydrous borax powders was measured and compared both after their surfaces were coated with stearic acid and after they were treated with water for a certain period of time in an aqueous environment. The stearic acid coating made the powder hydrophobic and this property was highly preserved after washing.

Journal of Characterization

Improving the agricultural productivity is an imminent need to meet the food requirement of constantly growing population rate. It can be gracefully satisfied if the farming process is integrated through technologies such as big data and IoT. The integration of agricultural processes with modern technologies has emerged as the smart agriculture technology. This research work is focused on proving the suitability of the big data analytics for smart agricultural processes in terms of increasing production and quality of yields with less resources and overhead. This research paper expounds the extensive review carried out on the related works in smart agricultural farming, challenges in implementing the smart farming technologies at large scale, followed by the conceptual framework model for the effective implementation of big data together with IoT devices in smart farming.

Dr H Shaheen

Abstract The main objective of this paper is to examine the nexus between the reforms that have been carried out in Nigeria concerning the power sector, and the implications of the reforms on the transformation of agro-allied industries. The power sector, no doubt, can be said to have the potential that can propel national development considering the overall importance of energy to the survival of the nation in terms of job creation, industrial development and sustenance as well increase in revenue generation and Foreign Direct Investment opportunities, among others. The unfortunate situation, however, is that in spite of a number of policies enunciated by successive governments aimed at improving on the power sector, not much has been achieved. The multiplier effect of this kind of development has been seen in the widespread epileptic power shortages, downward spiral of efforts towards industrial development drive; unemployment, shortage of national revenue accruing to government coffers, bourgeoning and rising poverty levels, to mention but a few. All of these have further contributed to the growing army of problems currently being witnessed in the country at the moment. This study is a theoretical exposition of the existing works of scholars and experts in the broader field of power sector reforms. The paper is exploratory in structure and method of its investigation. The study concludes and recommends that in view of the prevailing socio-economic circumstances in Nigeria, genuine reforms in the energy sector devoid of political rhetorics will go a long way in mitigating some of the challenges of contemporary times in the power sector

Canice Erunke

The main focus of this paper is to examine the relationship between insecurity in Nigeria and how traditional institutions such as traditional monarchical system can be used as veritable tool to curtail increasing insecurity in a democratic system such as Nigeria. The pervasive nature of insecurity,though,not an entirely Nigerian problem, has been trending of late, andhence, become a huge source of worry for scholars,experts,public commentators and the international community at large.The menace of insecurity finds expression in wanton killings, kidnapping,farmers-herders conflicts, rape, communal clashes, militia activities, ethnic secessionist agitations and many other strands of violence. The multiplier effects of all these challenges have been very devastating in terms of the recent attacks witnessed all over the country in recent times. This study observes that most of the people engaged in some of these atrocities might be well known to traditional rulers in the communities where they come from. This is because traditional rulers are closest to the people. The work is an exploratory study and relies solely on literature and works of experts in the broader field of security studies for investigation. The paper sums up a conclusion and recommends that there is a need for the adoption of both vertical and horizontal approaches to tackle the menace of insecurity, particularly, using the instrumentality of traditional institutions as a point of departure.

Canice Erunke

In the modern world, Tuberculosis (TB) is regarded as a serious health issue with a high rate of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool utilized is CXR (Chest X-rays) which is used to screen active TB. An enhanced deep learning (DL) model is implemented for automatic Tuberculosis detection. This work undergoes the phases like preprocessing, segmentation, feature extraction, and optimized classification. Initially, the CXR image is preprocessed and segmented using AFCM (Adaptive Fuzzy C means) clustering. Then, feature extraction and several features are extracted. Finally, these features are given to the DL classifier Deep Belief Network (DBN). To improve the classification accuracy and to optimize the DBN, a metaheuristic optimization Adaptive Monarch butterfly optimization (AMBO) algorithm is used. Here, the Deep Belief Network with Adaptive Monarch butterfly optimization (DBN-AMBO) is used for enhancing the accuracy, reducing the error function, and optimizing weighting parameters. The overall implementation is carried out on the Python platform. The overall performance evaluations of the DBN-AMBO were carried out on MC and SC datasets and compared over the other approaches on the basis of certain metrics.

Dr H Shaheen

Online interviews can be powerful tools in global health research. In this article, we review the literature on the use of and challenges associated with online interviews in health research in Africa and make recommendations for future online qualitative studies. The scoping review methodology was used. We searched on Medline and Embase in March 2022 for qualitative articles that used internet-based interviews as a data collection method. Following full-text reviews, we included nine articles. We found that online interviews were typically conducted via Microsoft Teams, Zoom, Skype, WhatsApp, Facebook Messaging and E-mail chats. Online interviews were used in Africa because of the restrictions imposed by the coronavirus disease 2019 pandemic and the need to sample participants across multiple countries or communities. Recruitment for online interviews occurred online, interviews were characterised by inaudible sounds, the inability to use video options and the challenges of including people with low income and education. We recommend that researchers critically evaluate the feasibility of online interviews within a particular African locality before fully implementing this data collection approach. Researchers may also collaborate with community-based organisations to help recruit a more socioeconomically diverse sample because of the potential of excluding participants with limited internet access.

Emmanuel Ekpor

Abstract Background. Numerous studies have found that various core muscles are involved in subjects with chronic low back pain. The evidence for profiles of respiratory muscle involvement in normal low backache subjects has not been reviewed explicitly for low back pain. Aims. The study’s primary objective was to scientifically analyze, condense, and to evaluate the evidence for the involvement of respiratory muscles in subjects suffering from chronic low back pain. Methods. This evaluation procedure will trail the guidelines of PRISMA and MOOSE. The assessors will use a custombuilt tool to extract data from the studies, regardless of the methodology used. A modified Downs and Black index will be used to assess the superiority of the methods used in the selected studies. Results. This index evaluates the characteristics of the subjects, the timing of the outcomes, and the characteristics of the interventions, and quantitative, formal analysis, so-called meta-analysis, is performed if necessary. The study’s effect, including the evidence, will be determined using the GRADE a framework for a systematic approach. Earlier research has found that core muscles are involved, and the interventions are tailored to include deficiencies and intrusions that target specific muscle groups. Conclusion. As an additional component that can be targeted by clinical practitioners in their day-to-day practice and added to rehab programmes, this systematic review protocol will summarise the list of evidence available for the rehabilitation of low back ache and highlight the involvement of respiratory muscles in lowback ache subjects. Keywords: chronic low back pain, diaphragmatic breathing exercises, respiratory muscles.

Nagaraj sibbala