Utilization of Honey Apis dorsata as Antiosteoporosis on Requirements of Bone Calcium Ash Density on Ovariohysterectomized White Rat (Ratus norvegicus)

The purpose of this study was to determine the effect of honey bee Apis dorsata as anti-osteoporosis in calcium ash density (CAD) of bone in osteoporotic-induced rats. The target of this study was to know bone calcium levels after being given honey bees Apis dorsata. In this study, 35 female white rats (Ratus norvegicus) mature was used with weight 200gr. Divided into 5 groups, 2 control groups and 3 treatment groups. The negative control group (SH) was not induced by osteoporosis and was given the only aquadest of 1.5 ml/day. Whereas the positive control group was induced by osteoporosis (OH)  and was given only aquadest 1.5 ml/day. T1, T2 and T3 treatment groups were given bee honey with various doses including 1g / kg ad 1.5 ml aquadest, 2g / kg BB ad 1.5 ml aquadest and 3g / kg BB ad 1.5 ml aquadest. Then after 12 weeks, white rats were sacrificed for lumbar vertebrae. Furthermore, the sixth lumbar spine os vertebrae will be examined for calcium bone ash content. The data were obtained was analyzed using statistical analysis of variance (ANOVA) for the results of the calcium ash content data Keywords: Honey; Osteoporosis; CA

An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine

This paper presents an interpretable review of various machine learning and deep learning models to predict the maintenance of aircraft engine to avoid any kind of disaster. One of the advantages of the strategy is that it can work with modest datasets. In this study, sensor data is utilized to predict aircraft engine failure within a predetermined number of cycles using LSTM, Bi-LSTM, RNN, Bi-RNN GRU, Random Forest, KNN, Naive Bayes, and Gradient Boosting. We explain how deep learning and machine learning can be used to generate predictions in predictive maintenance using a straightforward scenario with just one data source. We applied lime to the models to help us understand why machine learning models did not perform well than deep learning models. An extensive analysis of the model's behavior is presented for several test data to understand the black box scenario of the models. A lucrative accuracy of 97.8%, 97.14%, and 96.42% are achieved by GRU, Bi-LSTM, and LSTM respectively which denotes the capability of the models to predict maintenance at an early stage

Utilization of Sumbawa Tropical Forest Honey Apis Dorsata to Improve Fertility of Indonesia Oriental Magpie Robin (Copsychus saularis) as Effort Animal Population Increasement

The objective of this experiment is to observe the effect of forest honey produced by giant bees Apis dorsata on improving fertility and egg number of the bird. The bird which observed in this experiment is captive bird Oriental Magpie Robin (Copsychus saularis). Twelve paired captive bird in official captivity were transferred into new pairing cage and adapted along two weeks. Every bird was fed with crickets and normal ration mixed with low protein diet (LP) with 16% of crude protein gradually. After an adaptation period, twelve paired captive bird were divided into three groups T1, T2 and T3. Birds were treatened with honey solution 5%, 10% and 15% concentration series in 1 ml aquadest intraabdominal of 10 crickets and fed with 15 crickets and 20 gram low protein ration (16%) per day for two laying periods.  Egg production each group were calculated and observed its fertility among all egg production in one parental. In accordance with that, the results were analyzed descriptively. This pre-treatment, the bird’s mating behaviour becomes a week faster than the normal period. Bird’s fertility is also increasing with the provision of honey in the bird nutrition. In the bird’s pairs in cage’s number 9 and 10 have shown development by producing 3 fertile eggs after being treated with honey. In the previous period showed from 3 eggs only 1 being fertile. Honey has not been able to increase the number of eggs produced by birds. However, there is an enhancement in the animal population up to 25% of the 12 pairs of birds that are used as experimental samples in the captivity. The conclusion of this study shows that honey can accelerate the mating behaviour of birds and can increase the fertility of birds' eggs. However, honey has not yet affected the increase the quantity of the birds' egg. Longer observation’s duration with extra bird’s sample is needed for future research, in order to see the reproduction cycle of birds over several periods. Field research related to nutrition in chemistry nutrition’s fields related the active ingredient in honey that can affect the reproduction system is also important to conducted for further research. Keywords: Oriental Magpie Robin; Eggs Production; Fertility; Mating Behaviour; Hone

Socio-demographic characteristics and tobacco use among the adults in urban slums of Dhaka, Bangladesh

Background: Use of tobacco has become one of the major causes of premature deaths in most developing countries, including Bangladesh. The poorest and most disadvantaged populations, such as those living in slums, are considered to be extremely vulnerable to non-communicable diseases and their risk factors, especially tobacco use. The objective of this study was to assess the current status of tobacco consumption among slum dwellers and its association with socio-demographic factors. Methods: A cross-sectional study was conducted in three slums of Dhaka city. Information about tobacco use as well as socio-demographic characteristics was collected from adult slum dwellers via face to face interviews using WHO STEPS questionnaire. Result: Overall proportion of smoking, smokeless tobacco consumption and dual use of tobacco was 35% [95% CI: 31.6-39.8], 40.6% [95% CI: 36.5-45.2] and 12% [95% CI: 9.3-15.0] respectively. Elderly people (55-64 years) were more likely to smoke (OR: 2.34, 95% CI: 1.21-4.49) than younger people (aged 25-34 years). On the other hand, those who had no schooling history (OR: 2.95, 95% CI: 1.66-5.25) were more likely to consume smokeless tobacco than those who had higher education (secondary or above). At the same time, manual workers were more likely to indulge in dual use of tobacco (OR: 5.17, 95% CI: 2.82-9.48) as compared to non-manual workers. Conclusion: The urban slum population of Dhaka city has a high prevalence of tobacco use, which increases their likelihood of developing non-communicable diseases. Proper attention needs to be directed towards addressing the risk factors related to non-communicable diseases within this vulnerable population

Anthrax disease burden: Impact on animal and human health

Anthrax is a zoonotic infectious disease caused by Bacillus anthracis. According to current knowledge, the disease originates in sub-Saharan Africa, especially Egypt and Mesopotamia. Laboratory tests involving direct staining or culture of samples taken from malignant pustules, sputum, blood, or patient discharge must be performed to establish a diagnosis. B. anthracis infection can enter the body through the skin, mouth, or nose. Human infection is usually caused by contact with infected animals or animal products. Anthrax causes a reduction in resource efficiency and decreases livestock productivity. B. anthracis spores are resistant to extreme temperatures, pressure, pH, drying, solvents, and ultraviolet light. The biological weapon of this disease may be fatal if it is designed to spread B. anthracis spores by aerosols. In the past, the treatment of human anthrax with penicillin at a high dose was the preferred method. The public can take several measures to prevent anthrax infection, such as purchasing and consuming meat that has been legally certified to have been slaughtered in a slaughterhouse, consuming healthy and properly cooked animal meat, and washing hands with antiseptic soap after handling, processing, and cooking animal products. This review aimed to describe the etiology, pathogenesis, mechanism of infection, epidemiology, diagnosis, clinical symptoms, transmission, risk factors, public health importance, economic impact, potential as a bio-warfare agent, treatment, and control of anthrax

Effect of probiotics and acidifiers on feed intake, egg mass, production performance, and egg yolk chemical composition in late-laying quails

Background and Aim: Probiotics can be used as an alternative to antibiotic growth promoters because antibiotics are prohibited worldwide. This study investigated the potential combination of probiotics and acidifiers to improve feed intake, productive performance, egg mass, and egg yolk chemical composition of late-laying quail for the health of humans who consume quail products. Materials and Methods: One hundred laying quails were divided into 4 × 5 treatments, with each group consisting of five replications. The adaptation period was 2 weeks, and the treatment was continued for 4 weeks. Probiotics and acidifiers were added to drinking water and incorporated into the diet. Feed and water were provided ad libitum. Treatment duration (1 week, 2 weeks, 3 weeks, and 4 weeks) and additional feed treatment (control, probiotic 2% + 0.5% acidifier, probiotic 2% + 1% acidifier, probiotic 4% + 0.5% acidifier, and probiotic 4% + 1% acidifier, respectively). Results: Significant differences (p < 0.05) were observed in feed intake, quail day production, feed efficiency, egg mass in laying quails, and the chemical composition of egg yolk with probiotics and acidifiers in late-laying quails. Conclusion: The combination of probiotics and acidifiers can improve feed intake, production performance, egg mass, and egg yolk chemical composition in late-laying quails

Searches for heavy long-lived charged particles with the ATLAS detector in proton-proton collisions at √s = 8 TeV

Searches for heavy long-lived charged particles are performed using a data sample of 19.1 fb−1 from proton-proton collisions at a centre-of-mass energy of s√ = 8 TeV collected by the ATLAS detector at the Large Hadron Collider. No excess is observed above the estimated background and limits are placed on the mass of long-lived particles in various supersymmetric models. Long-lived tau sleptons in models with gauge-mediated symmetry breaking are excluded up to masses between 440 and 385 GeV for tan β between 10 and 50, with a 290 GeV limit in the case where only direct tau slepton production is considered. In the context of simplified LeptoSUSY models, where sleptons are stable and have a mass of 300 GeV, squark and gluino masses are excluded up to a mass of 1500 and 1360 GeV, respectively. Directly produced charginos, in simplified models where they are nearly degenerate to the lightest neutralino, are excluded up to a mass of 620 GeV. R-hadrons, composites containing a gluino, bottom squark or top squark, are excluded up to a mass of 1270, 845 and 900 GeV, respectively, using the full detector; and up to a mass of 1260, 835 and 870 GeV using an approach disregarding information from the muon spectrometer

Design and implementation of Wireless Packet Level Authentication (WPLA)

Secure user authentication, authorization and access control have become the major challenges in any wireless security system, often due to certain wireless network characteristics such as lack of infrastructure, low power availability and mobility. Taking advantage of such network characteristies, an attacker can launch several security attacks like Denial of Service (DoS) attacks, packet spoofing and session hijacking attacks. Packet Level Authentication (PLA) provides an elegant network level solution to the aforementioned attacks by allowing every node in the network to validate the authenticity and integrity of a packet without any prior contact with the originator of the packet. The cornerstone of PLA is public key cryptography based digital signature which is added to every outgoing packet by the packet originator. Therefore, signature generation and verification schemes of PLA become infeasible in resource-constrained devices if dedicated hardware accelerator is not used. In this thesis, we present Wireless Packet Level Authentication (WPLA) that extends PLA to offer an adaptive hop-by-hop signature verification scheme. WPLA includes a lightweight signature verification approach for resource-constrained devices while retaining the pubic key cryptography based signature verification scheme for strong authentication. Furthermore, to ensure end-to-end data confidentiality over the unsecured channels, we integrate a symmetric encryption scheme along with secret key generation and distribution process. Finally, we implement the proposed solution and evaluate the performance of our implementation

Energy Efficient Computing on Multi-core Processors: Vectorization and Compression Techniques

Over the past few years, energy consumption has become the main limiting factor for computing in general. This has led CPU vendors to aggressively promote parallel computing using multiple cores without significantly increasing the thermal design power of the processor. However, achieving maximum performance and energy efficiency from the available resources on the multi-core and many-core platforms mandates efficient exploitation of the existing and emerging architectural features at the application level. This thesis presents the study of some of the existing and emerging technologies in order to identify the potential of exploiting these technologies in achieving high performance and energy efficiency for a set of Smart Grid applications on Intel multi-core and many-core platforms. The first part of this thesis explores the energy efficiency impact of different multi-core programming techniques for a selected set of benchmarks and smart grid applications on Intel SandyBridge and Haswell multi-core processors. These techniques include different parallelism techniques such as thread-level parallelism using OpenMP, task-based parallelism using OmpSs, data parallelism using SIMD (Single Instruction Multiple Data) instruction sets, code optimizations and use of different existing optimized math libraries. In our initial case studies, SIMD vectorization is proven very effective in providing both high performance and energy efficiency. Though the SIMD vectorization is proven very effective, it can also exert pressure on the available memory bandwidth for some applications like Powel Time-Series Kernel, causing under-utilization of the computing resources and thus energy inefficient executions. In the second part of this research, we investigate the opportunities of improving the performance of SIMD vectorization for memory-bound applications using SIMD data compression, SIMD software prefetching, SIMD shuffling, code-blocking and other code transformation techniques. The key idea is to reduce the data movement across memory hierarchy by using the idle CPU time. We show that integration of data compression is feasible on the Intel multicore platforms, as long as we can do it in a reasonable time. We present a comprehensive discussion on the SIMD compression techniques and the code transformations required for achieving efficient SIMD computations for memory/cache bound applications using Powel time series kernel as a demonstrator application. Finally, we perform feasibility study of SIMD optimization and compression techniques across other application domains using k-means clustering algorithm and full-search motion estimation algorithm. We also extended our experiments on Intel many-core architecture using Intel Xeon Phi coprocessor