Bilingual Publishing Co. (BPC): E-Journals
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Value Finance Theory
No full textWith the development of digital economy, metaverse and blockchain, the inherent economic form changes. In the era of digital economy, changes in value have new characteristics. This paper uses the method of political economy to analyze and demonstrate the composition of value. Then it analyzes the economic reasons for the economic depression, insufficient consumption power and unsalable commodities in the digital economy period. And the article gives a specific solution. It has specific application value for all countries to deal with and pass through the economic depression. It has a theoretical guiding role in the stable development of macro economy in the digital economy period
Novel Proposal of Bio-based Sewing Timber Joint: Learning from Diatoms
No full textThe twenty-first century is one of the most complex in the history of humanity, mainly due to the ecological crisisit is going through. The construction sector generates about 40% of CO2 emissions into the environment; the foregoingshould motivate this sector to seek new alternatives to develop new building practices. Taking these current needs intoaccount, this document classifies and presents a multidisciplinary solution that integrates biology, engineering andarchitecture to develop a new and innovative lightweight timber structure; it divides with a main structure made oftimber and an innovative joint system made of bio-polymers connecting all the panels. Through the study of diatoms,it was able to analyze the bio-morphology of the structure, joints and in particular the geometry since they were theinspiration for the design of this structure that presents an innovative and novel design of structural optimization.Through parametric design and digital fabrication, it was able to create a complex geometry that obtains excellentstructural behavior. This research discusses and explores how materials, geometry led to the optimization of a structureand how new structures can arise, thanks to biology new solutions can be obtained that are completely sustainable,being a clear example of how to combat the effects of the climate change and in a precise way it highlights theadvantages of the bio-design in the architectural design
Outdoor Air Quality Monitoring with Enhanced Lifetime-enhancing Cooperative Data Gathering and Relaying Algorithm (E-LCDGRA) Based Sensor Network
No full textThe air continues to be an extremely substantial part of survival on earth. Air pollution poses a critical risk to humans and the environment. Using sensor-based structures, we can get air pollutant data in real-time. However, the sensors rely upon limited-battery sources that are immaterial to be alternated repeatedly amid extensive broadcast costs associated with real-time applications like air quality monitoring. Consequently, air quality sensor-based monitoring structures are lifetime-constrained and prone to the untimely loss of connectivity. Effective energy administration measures must therefore be implemented to handle the outlay of power dissipation. In this study, the authors propose outdoor air quality monitoring using a sensor network with an enhanced lifetime-enhancing cooperative data gathering and relaying algorithm (E-LCDGRA). LCDGRA is a cluster-based cooperative event-driven routing scheme with dedicated relay allocation mechanisms that tackle the problems of event-driven clustered WSNs with immobile gateways. The adapted variant, named E-LCDGRA, enhances the LCDGRA algorithm by incorporating a non-beaconaided CSMA layer-2 un-slotted protocol with a back-off mechanism. The performance of the proposed E-LCDGRA is examined with other classical gathering schemes, including IEESEP and CERP, in terms of average lifetime, energy consumption, and dela
Understanding the Effect of Zinc Oxide (ZnO) With Carbon Black Coupling Agent on Physico-Mechanical Properties in Natural Rubber Matrix
No full textNatural rubber (NR) is not only the main compounding ingredient used to make the majority of components of tires as well as other rubber products, as it plays a significant role in ensuring that they operate well and complies with environmental standards. The applications of NR products are limited to high temperatures due to the revision tendency of NR vulcanizate. To address these issues, the potential engagement of a carbon black (CB) coupling agent (CA) in the presence of metal oxide i.e. Zinc Oxide (ZnO) was investigated in an NR-based system. This CA has dual functionality on physicomechanical properties. CA has the ability to reduce hysteresis loss as well as improve anti-reversion properties and these properties thoroughly depend on the presence of ZnO. While ZnO was added to the master formulation, a 65% improvement in reversion properties was observed. On the other hand, while ZnO fully transferred to the final formulation, bound rubber (BR) content increased by 19%, the difference in storage modulus (ΔG’) is reduced by 22%, cure rate index (CRI) improved by 14%, loss tangent (tan δ) reduced by 18% and slightly improve in elongation at break compared to control compound. Thermo-gravimetric analysis (TGA) was engaged to understand the thermal stability and degree of purity of CA. A differential Scanning Calorimeter (DSC) was used to detect the phase transition of CA. Fourier Transform Infrared Spectrum (FTIR) was adopted to detect the presence of carboxyl and amine groups in the CA moiety. Payne effect, BR content and Transmission Electron Microscope (TEM) were employed to investigate the micro-level dispersion of CB in the natural rubber (NR) matrix
A Theory on Increasing the Heat Transfer Performance of Building Wall
No full textThe target of traditional thermal conductivity of wall research is the spatial distribution form. In these studies, the change of thermal conductivity with temperature is neglected. Meanwhile, case studies are always used. This method needs large computation and it is hard to obtain the optimal result. In order to overcome the problems, a new approach has been put forward in this paper. Different from the traditional approach, the new approach solves an inverse problem under the concept of passive ideal energy-saving buildings to obtain the optimal distribution of heat ability with temperature on an external wall. The result for a typical summer day shows the heat ability distribution of a wall in summer is a staircase. It is similar to the heat pipe. It is also found that the optimal heat transfer property of the external wall is closer to the heat pipe when its heat capacity per square meter (ρcpL) is of extreme value. This study can provide guidance to researchers in building materials
Online Psychotherapy: A Pandemic Dilemma
No full textCovid Pandemic has allowed people to reflect, explore their emotions, their strengths and deficiencies, how they affect them and how to address them. The globally observed, pandemic induced social distancing, has also precipitated disturbances in the domain of mental health. Almost the entire population worldwide, went through series of lockdowns, resulting in people getting isolated, some feeling trapped in the stressful environment of a forced shared living palace—homes. This precipitated in exposing conflicts of various types and degrees, encountering a common emotion—grief. With no access to professionals in traditional format, the online networking boom has given a ray of hope to the people in need. This research-based article explores how online therapy is being seen as a reliable and important tool for people needing help for mental health issues, by conducting a survey on the youth of Delhi-NCR. This research article explores the ways in which people reached mental health professionals and how internet-based therapies increased manifolds during pandemic. A total of 54% participants of the survey agreed to engage in online therapy practice in situation of need
Rainfall and Temperature Variations in a Dry Tropical Environment of Nigeria
No full textThis study examines long-term rainfall and temperature variations over a dry tropical environment in Nigeria. An assessment of the variations of these weather variables showcases the extent of climate change limits and corresponding effects on the biotic environment. Rainfall and temperature data were obtained from Nigerian Meteorological Agency for a period of 31 years (1991-2020) for Kano and Katsina States. Descriptive statistics were used to determine the degree of variability of the weather variables across spatial domains. Results showed that there is a sharp contrast in mean annual rainfall amounts of 1154.1 mm and 569.6 mm for Kano and Katsina located in the dry continental and semi-arid climate zones of Nigeria respectively. It is revealed that the month of August had the highest mean monthly rainfall for both areas i.e. 359 mm and 194 mm with little or no trace during the dry season. The sharp difference in rainfall amount across spatial domains of the near similar climate zones shows that the Inter-tropical Discontinuity (ITD) does not completely overwhelm the northern band of Nigeria in August. The least variable monthly rainfall was in August and July with coefficient variations (CV) of 40% and 47% for Kano and Katsina. The months of February and March had the highest CV of 557% and 273% for the respective areas. In the examined areas the wet and dry seasons are from June-September and October-May respectively. The index of rainfall variability and drought intensity for the areas ranged from 0.85-0.95 and 45% indicating moderate variability and drought respectively. Mean annual temperature values are 33.4 °C and 33.8 °C for Kano and Katsina. The study recommends a proper climate observing scheme, most especially for agrarian practices so as to ensure profitable outputs for human sustainability
Role of Different Moisture Sources in Driving the Western Himalayan Past-glacier Advances
No full textThe fragmented pattern and the rapidly declining preservation of older glacial features/evidences limits the precision, with which glacial chronologies can be established. The challenge is exacerbated by the scarcity of datable material and limitations of dating methods. Nevertheless, the preserved glacial landforms have been fairly utilized to establish glacial chronologies from different sectors of the Indian Himalayas. The existing Himalayan glacial chrono-stratigraphies have revealed that in a single valley, past glacial advances rarely surpass four stages. Thus, local and regional glacial chronologies must be synthesized to understand glacial dynamics and potential forcing factors. This research presents an overview of glacier responses to climate variations revealed by glacial chrono-stratigraphies in the western Indian Himalayan region over the Quaternary (late). The synthesis demonstrated that, although the glacial advances were sporadic, glaciers in western Himalayas generally advanced during the Marine isotope stage (MIS)-3/4, MIS-2, late glacial, Younger Dryas (YD) and Holocene periods. The Holocene has witnessed multiple glacial advances and the scatter is significant. While previous glacial research revealed that Himalayan glaciers were out of phase with the global last glacial maximum (gLGM), weak Indian Summer Monsoon (ISM) has been implicated (ISM was reduced by roughly 20%). Recent research, however, has shown that gLGM glaciation responded to the global cooling associated with the enhanced mid-latitude westerlies (MLW). Further, the magnitude of gLGM glacier advance varied along and across the Himalayas particularly the transitional valleys located between the ISM and MLW influence. It is also evident that both the ISM and MLW have governed the late Quaternary glacial advances in the western Himalayan region. However, the responses of glaciers to ISM changes are more prominent. The insights gained from this synthesis will help us understand the dynamics of glacier response to climate change, which will be valuable for future climate modelling
Establishing the Forecasting Model with Time Series Data Based on Graph and Particle Swarm Optimization
No full textIn recent years, a wide variety of fuzzy time series (FTS) forecasting models have been created and recommended to handle the complicated and ambiguous challenges relating to time series data from real-world sources. However, the accuracy of a model is problem-specific and varies across data sets. But a model's precision varies between different data sets and depends on the situation at hand. Even though many models assert that they are better than statistics and a single machine learning-based model, increasing forecasting accuracy is still a challenging task. In the fuzzy time series models, the size of the intervals and the fuzzy relationship groups are thought to be crucial variables that affect the model's forecasting abilities. This study offers a hybrid FTS forecasting model that makes use of both the graph-based clustering technique (GBC) and particle swarm optimization (PSO) for adjusting interval lengths in the universe of discourse (UoD). The suggested model's forecasting results have been compared to those provided by other current models on a dataset of enrollments at the University of Alabama. For all orders of fuzzy relationships, the suggested model outperforms its counterparts in terms of forecasting accuracy
HIV Counseling and Testing Uptake, Knowledge and Attitude and Influencing Factors among Student Nurses and Midwives in The Gambia: An Institutional-based Cross-sectional Study
No full textHIV counseling and testing (HCT) has become paramount in the prevention and control of HIV/AIDS worldwide. However, the uptake of HCT has been very slow globally, especially in sub-Saharan Africa. Student nurses formed the largest group undergoing health care training in the country compared to doctors and other health cadres. According to WHO, they are part of the most vulnerable group to HIV infection, judging by the fact that they interact more with patients/clients than other healthcare professionals. This study aimed to determine the prevalence of HCT uptake, knowledge, and attitude and evaluate influencing factors among student nurses and midwives in public nursing schools. An institutional-based cross-sectional study design was employed to collect data from 305 randomly selected nursing students and midwives using a validated and reliable self-administered questionnaire. Descriptive statistics (percentages, mean and standard deviation) and inferential statistics (chi square, logistics regression, one-way ANOVA and independent samples t-test) were used for data analysis using SPSS version 25.0. A p-value < 0.05 was considered for statistical significance. Out of the 305 students recruited for the study, 60.98% were females, with a mean age of 25.5 years old. About 58.4% of the participants had tested for HIV in the past. About 95.7% acknowledged the importance of HCT in the prevention and control of HIV/AIDS. HCT uptake among student nurses and midwives was influenced by factors ranging from an individual that are interpersonal challenges (such as concerns of friends), perceived susceptibility to the disease, lack of confidentiality, stigma and discrimination from health service providers. Therefore, these barriers can be addressed through an organized targeted health education intervention and advocacy programs across health training institutions in the Gambia and beyond