Analysis of Current State of The Art of RFID IC Chips

Radio Frequency Identification (RFID) is a constantly developing technology particularly in the ultra-high-frequency (UHF) band for its long operating range, power efficiency, and maintenance-free characteristics. It has been successfully developed for many applications already, that includes identification, sensing, tracking, monitoring, etc. In terms of tag, the integrated circuit (IC) or chip play an essential part in the functionality of the tag, where logical information is programmed into. Nowadays, the chips come in a variety of memory options, sensitivity, supported protocols, with an optional battery-assisted mode, additional commands, and features. There are various methods that are followed to fabricate RFID tags, i.e. inkjet-printing, painting, 3D printing, etching, etc. On the way of completion of these procedures, some of the methods involve the use of chemicals, producing waste, which is unfavorable in respect of the cost, and as well as the environment. In addition, the substrate impacts tag’s performance. If the tag is going to be attached for instance, on a metal surface the radiation properties of the tag antenna would experience changes, as the electromagnetic waves will reflect on the metal surface, which will basically degrade tag’s performance. Maintaining multiple applications on a single chip has become common to a certain extent. It requires additional power than usual, which is an issue for passive tags. In order to overcome this hurdle, energy harvesting system is required, which is going to suffice the need for a power source. In this paper, the functionalities and applications of the RFID chips have been reviewed and some suggestions have been proposed on how RFID can be commercially manufactured, in terms of fabrication methods, supplying enough power for applications, and ensuring security of the tagged object

Self-Regulated Learning in the University of Tabuk: Gender Differences in Strategy and Outcomes

Background Self-Regulated Learning (SRL) is defined as the adjustment of the individual's affective, meta-cognitive, and behavioral operations during learning to attain the desired level of academic achievement. It is an important skill for undergraduate students and its ignorance cause anxious behavior, a sense of potential failure, and avoidance of learning situations. Objective The objective of the study was to explore the pattern of SRL among medical students from a student perspective aiming to recognize the learning context and to provide recommendations for future support strategies. Methods This is a cross-sectional study that targeted a total coverage of medical students at the University of Tabuk, Saudi Arabia using a Self-Regulated Learning Questionnaire which composed of six constructs, namely: environment structuring, goal setting, time management, help-seeking, task strategies, and self-evaluation. An independent-samples test, ANOVA, and post-hoc analysis were conducted.   Results Females agreed on regular practice of the four domains namely: "environmental structuring, time management, help-seeking, and self-evaluation", mean scores: 3.7(SD=1.023), 3.42(SD=1.035), 3.68(SD=0.99), 3.54(SD=0.94) respectively. Conclusion This study identified a remarkable difference in SRL among undergraduate medical students. Females outperformed males in self-regulation; however, both genders in the second year have shown a low level in self-regulation in comparison to fifth year medical students. Rwanda J Med Health Sci 2021;4(1):151-16

Stock market prediction of Bangladesh using multivariate long short-term memory with sentiment identification

The prediction of stock market trends is a challenging task due to its dynamic and volatile nature. Research has shown that predicting the stock market, especially in developing nations like Bangladesh, is challenging due to the presence of multiple external factors in addition to technical ones. To address this, this study proposed a novel dataset that includes not only technical stock market data from 2014 to 2021, but also external factors such as news sentiment and other economic indicators like inflation, gross domestic product (GDP), exchange rate, interest rate, and current balance. The goal is to provide a comprehensive view of the Dhaka Stock Exchange (DSE), the largest stock market in Bangladesh. The main objective of this study is to predict the trend of DSE by taking into account both technical stock market data and relevant external factors, and to compare the predictions made with and without using external factors. The study utilized a multivariate long short-term memory (LSTM) neural network for the stock market trend prediction. The experimental results showed that the use of external factors improved the accuracy of the LSTM-based stock market trend predictions by approximately 24%

Known risk factors and co-morbidities in 100 cases of cerebral palsy in a neu­rology follow-up clinic

Background: Cerebral palsy (CP) is a major cause of crippling in children. Several antenatal, natal and post natal factors for CP like birth asphyxia and pretenn & LBW deliveries were identified.Objective: To see the presence of known risk factors of CP and co-morbidities in our setting. Methods: ln this study 100 cases of cerebral palsy attending the child neurology out-patient department Bangabandhu Sheikh Mujib Medical University (BSMMU) were evaluated with special attention to risk factors of CP. Full evaluation was done to find out co-morbidities. Results: Birth asphyxia (49%) was the most common risk factor. Mental retardation; speech problem and seizure were common co-morbidities. Conclusion: As birth asphyxia is common risk factor of cerebral palsy, it may be reduced by improving perinatal care

ANISOTROPIC BIANCHI TYPE-I COSMOLOGICAL MODEL FOR VISCOUS FLUID IN A MODIFIED BRANS-DICKE COSMOLOGY

ABSTRACT We present a new Cosmological solution for a Bianchi type-I Cosmological model filled with viscous fluid in a modified Brans-Dicke theory in which the variable cosmological term is an explicit function of a scalar field. The physical and geometrical properties of this model have been discussed. Finally, this model has been transform to the original form (1961) of Bras-Dicke theory

Known risk factors and co-morbidities in 100 cases of cerebral palsy in a neu­rology follow-up clinic

Background: Cerebral palsy (CP) is a major cause of crippling in children. Several antenatal, natal and post natal factors for CP like birth asphyxia and pretenn & LBW deliveries were identified.Objective: To see the presence of known risk factors of CP and co-morbidities in our setting. Methods: ln this study 100 cases of cerebral palsy attending the child neurology out-patient department Bangabandhu Sheikh Mujib Medical University (BSMMU) were evaluated with special attention to risk factors of CP. Full evaluation was done to find out co-morbidities. Results: Birth asphyxia (49%) was the most common risk factor. Mental retardation; speech problem and seizure were common co-morbidities. Conclusion: As birth asphyxia is common risk factor of cerebral palsy, it may be reduced by improving perinatal care

Propagation of an endangered gymnosperm tree species (Podocarpus neriifolius D. Don.) by stem cuttings in non-mist propagator

Podocarpus neriifolius D. Don. (Podocarpaceae), an endangered and the only indigenous gymnosperm tree species, grows naturally in Bangladesh. Seed-based propagation of this species is challenging owing to its inadequate number of mother trees and irregular seed-setting attribute from among a few trees scattered throughout the country. This study weighs the significance and multiplication potentials of this species through rejuvenated stem cuttings with or without the application of Indole Butyric Acid (IBA). The rooting ability of the cuttings was evaluated by treating the cutting bases with 0%, 0.2%, 0.4% and 0.8% (w/v) IBA solution prior to place them in a low cost, non-mist propagation system. Steckling performances of the rooted cuttings were evaluated in the nursery conditions. The study found that the species was amenable to rooting with IBA treatments. The highest rooting percentage (61.3 ± 3.3 %; n = 90) and number of roots per cutting (9.8 ± 1.32; n = 90 ) were obtained in the 0.8% IBA treatment; however, the longest root and shoot, as well as the highest initial growth performances were obtained in 0.4% IBA treatment. Therefore, rejuvenated stem cuttings treated with 0.4% or 0.8% IBA solution in a non-mist propagator could potentially be an effective method for the clonal propagation of these tree species

Spatial distribution of heatwave vulnerability in a coastal city of Bangladesh

While extreme heat events received wider attention in recent years, understanding heatwave vulnerability is still a challenging task that requires a clear understanding of a range of location-dependent climatic, socio-economic, physiological, and environmental parameters. This study investigates the spatial distribution of heatwave vulnerability in Chattogram City Corporation (CCC) — the commercial capital of Bangladesh. A heatwave vulnerability index (HVI) was developed, including various parameters related to three latent variables — exposure, sensitivity, and adaptive capacity — derived using remote sensing and socio-economic data. Factor analysis was performed to assess all parameters related to HVI. Besides, spatial autocorrelation, cluster and outlier analyses, and hot spot analysis were carried out to investigate the spatial distribution of HVI. This study shows a spatial distribution of HVI in CCC, which is spatially associated with various individual parameters. A total of seven wards (smallest administrative zone of CCC) were found to be very highly vulnerable to the heatwave. This study further reveals that heatwave vulnerability is randomly distributed throughout the city, although the high land surface temperature is concentrated in the existing built-up areas. It also identified three major hot spots of heatwave vulnerability in CCC. The methodology and findings of this study will be of interest to the policymakers and city planners to prepare mitigation plans, policies, and strategies to mitigate this hazard

Cloud-to-ground lightning in cities : seasonal variability and influential factors

Urban-induced land use changes have a significant impact on local weather patterns, leading to increased hydro-meteorological hazards in cities. Despite substantial threats posed to humans, understanding atmospheric hazards related to urbanisation, such as thunderstorms, lightning, and convective precipitation, remains unclear. This study aims to analyse seasonal variability of cloud-to-ground (CG) lightning in the five large metropolitans in Bangladesh utilising six years (2015–2020) of Global Lightning Detection Network (popularly known as GLD360) data. It also investigates factors influencing CG strokes. The analysis revealed substantial seasonal fluctuations in CG strokes, with a noticeable increase in lightning activity during the pre-monsoon months from upwind to metropolitan areas across the five cities. Both season and location appear to impact the diurnal variability of CG strokes in these urban centres. Bivariate regression analysis indicated that precipitation and particulate matter (PM) significantly influence lightning generation, whilst population density, urban size, and mean surface temperature have negligible effects. A sensitivity test employing a random forest (RF) model underscored the pivotal role of PM in CG strokes in four of the five cities assessed, highlighting the enduring impact of extreme pollution on lightning activity. Despite low causalities from CG lightning, the risk of property damage remains high in urban environments. This study provides valuable insights for shaping public policies in Bangladesh, a globally recognised climate hotspot

Spatial pattern and land surface features associated with cloud-to-ground lightning in Bangladesh : an exploratory study

Severe weather events such as lightning appear to be a significant threat to humans and property in South Asia, an area known for intense convective activity directly related to the tropical climate of these areas. The current study was conducted in Bangladesh and examined the association between cloud-to-ground (CG) lightning and ground surface properties, with the aim of improving existing knowledge regarding this phenomenon. GLD360 data from 2015 to 2020 were used to describe the seasonal lightning climatology. Elevation, land use and land cover, vegetation and surface heat flux data were used to examine all land surface features possibly associated with CG lightning occurrence. Hot and cold spot spatial patterning was calculated using local indicators of spatial association. Results indicated a strong CG lightning seasonality. CG stroke density varied considerably across seasons with the pre-monsoon exhibiting the highest density. This was followed by occurrences in the monsoon season. The March–June period experienced 73% of the total observed. Elevation appeared to influence the post-monsoon CG stroke, however, its role in the other seasons was more difficult to define. The land cover/lightning index indicated that waterbodies and herbaceous wetlands had more influence than other land cover types, both during the day and at night, and it appeared that latent heat flux played a major role. The CG stroke hot and cold spot locations varied diurnally. The findings suggest that large-scale irrigation practices, especially during the pre-monsoon months, can influence the observed spatiotemporal pattern. The production of hotspot maps could be an initial step in the development of a reliable lightning monitoring system and play a part in increasing public awareness of this issue