Threat of HIV & AIDS to work place has an impact on company productivity and labor. Of all reported cases, more than 80% came from the productive age group (20-49%). This means that the productive years of the workforce have decreased due to HIV and AIDS incidents they experienced.\nThe purpose of this research was to analyze differences in labor knowledge about HIV and AIDS with quasi-experiment pre and post test design research by applying two group pre and post test through provision of different treatment interventions for two sample groups.\nThe results of this research showed that there was an effect of interventions with IEC media method and film screening interventions before and after the intervention on workers\' knowledge about HIV and AIDS. Based on the results of the study it was suggested that implementation of HIV and AIDS education among workers could use a communication method that combines the use of IEC media with film screening methods.

In this research, the fixed-speed wind-driven induction generator system has been developed for more electrical energy generation. This system uses a directly grid-connected cage induction generator in place of the costly wound generator. The ability of the cage induction generator to capture more mechanical energy from the wind has been increased through changing its number of poles to comply with the value of the wind speed. Pole variation has been achieved via pole-amplitude modulation technique producing three sets of pole numbers. The proposed multispeed system has been compared with both fixed-speed and variable-speed systems, and to explore its effectiveness, a case has been studied using wind data of a location in Saudi Arabia over one year. The computed results proved that the proposed method is effective, as it has resulted in a numerous increase in the output electrical energy as compared to the fixed-speed system, and it gives some reduction in the generated energy compared to the quite expensive variable-speed system employing frequency variation.

Aiming at the shortcomings of traditional vascular segmentation algorithm, such as poor robustness, high computational time cost and serious lack of detail, this paper proposes a method based on full convolutional neural network for coronary angiography sequence segmentation. Firstly, the median filtering, Gaussian filtering and contrast stretching are used to preprocess the coronary angiography image, so that the image noise is weakened and the contrast is improved. Then the full convolution segmentation network is proposed. The network is based on the VGG-16 basic network, and the last full connection layer is removed, the deconvolution is performed after each pooling layer, and the results of each layer\'s deconvolution are output and linearly summed to classify each pixel; then the pre-trained network on Image Net is used as the initialization network, using 109 clinical coronary angiography sequence data as training sets to train the network, and using 40 coronary angiography sequences as test sets to test the model; Then use the results obtained in this paper to compare with the doctor\'s labeling results. Finally, the Dice coefficient is 0.86, the sensitivity is 81%, and the specificity is 95%. Compared with the static blood vessel segmentation in previous studies, the segmentation of the sequence in this paper retains more information and shows certain advantages.

Aiming at the shortcomings of poor performance filter, poor robustness and fixed markov probability transfer matrix of the traditional interactive multiple model algorithm in missile tracking, this paper proposes an interactive multiple model adaptation five-degree cubature Kalman algorithm based on Markov parameter adaptation (AIMM-A5CKF). In the parallel filtering module, a fifth-order volume Kalman algorithm (A5CKF) based on state error covariance adaptive is proposed, which can effectively improve the filtering accuracy. Defining the error compression ratio, and then adding an adjustment factor to the Markov probability matrix, adaptively adjusting each parameter in the matrix according to the change of the error compression ratio to improve the possibility of model matching, thereby improving the tracking precision of the algorithm, and speed up the convergence of the algorithm. Finally, by setting the same tracking simulation analysis, compared with the interactive multi-model cubature Kalman algorithm (IMMCKF), the interactive multi-model five-degree cubature Kalman algorithm (IMM5CKF) and the adaptive interaction multi-model five-degree cubature Kalman algorithm, the AIMM-A5CKF algorithm has better tracking accuracy and faster convergence speed.

Tensile test and bending test have been widely used in the test of material mechanical properties. The elastic modulus, yield strength, fracture limit and other basic mechanical parameters of materials can be tested, which provides important basic data for materials preparation and optimization of mechanical structure design. With the development of science and technology, in situ tensile test and in situ bending test technologies characterized by scanning electron microscope, metallographic microscope and other material properties came into being. Using in-situ test technologies, researchers can conduct in-depth study on micro deformation and damage mechanisms of materials under tensile and bending loads.\n Majority of existing researches focus on the test analysis of material mechanical properties under single load however the research of material mechanical properties under multiple loads has been rarely reported. This paper, based on the review and analysis of research status in related fields at home and abroad, focuses on the analysis and study of mechanical properties for the material sample with the cross-sectional area of square millimeter under tensile, bending and combined loads by means of combining theoretical analysis, simulation study and experimental test. Meanwhile, in situ test of the micro mechanical properties of materials was conducted by virtue of the test device developed by the project team and combining with the optical microscope.

The accumulation of dust in the lungs may causes the tissue reaction to the dust known as pneumoconiosis. There are several factors that affect the respiratory tract and impaired pulmonary function. The study was observational analytic and conduct a health risks assessment for target cancer risks calculation. The population in this study were communities living surround the cement industry of PT. Tonasa Pangkep. The sample in this study was accidentally random sample. Data obtained from the measurement results Personal Dust Sampler, questionnaires application, and ambient air analysis. The data is processed through the stages of editing, coding, processing and cleaning as well as data analysis of univariate, bivariate and multivariate. THQ calculation indicated that potential hazard quotient that may occur. The highest hazard was in mixed fruits (0.563) followed by traditional cake (0.478) and in drinking water (0.015). although all values were still < than 1 indicated safe, the potential hazard may occur due to the accumulation and bio-magnification process in the human body. In conclusion, most of the value of THQ still safe <1, however the ecological risks value have been > 1 indicated at risks.

Introduction. Osteoarthritis is a common condition that affects older people, especially knee osteoarthritis. It can cause pain, muscle weakness, imbalance, and low functional activity of older people. Knee osteoarthritis affects muscles in not only the knee joint area but also those in the hip joint. To improve symptoms of knee osteoarthritis, strengthening exercise is often conducted only on muscles in the knee joint area, but not muscles in the hip area. This study aimed to compare the effect of strengthening exercise conducted in knee joint muscles only with the strengthening exercise in both knee and hip muscles on pain, strength, balance, and functional activity.\nMethod. A pre- and posttest design was chosen as the design of this study. Two groups were formed in this study. Group 1 received strengthening exercise on knee joint muscles only, and Group 2 received strengthening exercise on knee joint and hip joint muscles. This study was conducted in Prima Physio Clinic for Group 1 and Tajuddin Chalid Hospital, Makassar for Group 2. On each group, there were ten subjects with osteoarthritis. The strengthening exercise was conducted for three times a week for four weeks. The outcome measure used was numeric pain rating scale (NPRS), manual muscle strength (MMT), Berg balance scale (BBS) and Western Ontario McMaster (WOMAC). Manual muscle strength was measured in all major muscles of the joints: iliopsoas, gluteus, tensor fascia lata, quadriceps, and hamstring.\nResult. The statistical analysis was conducted using Wilcoxon and Mann Whitney tests. In group 1 analysis, pain, balance, functional activity, and all major muscle strengths were found to be a statistically significant difference between baseline and four weeks post-exercise. In group 2 analysis, pain, muscle strength, balance, and functional activity were found to be a statistically significant difference (p<0.05). The comparison between the two groups showed statistically significant differences in all muscle group strength except for hamstring. Pain, balance, functional activity, and hamstring strength were not statistically significantly different between the groups.\nConclusion. From the results, we concluded that the strengthening program for both knee and hip muscles is recommended than only to the affected joint muscles.

The distribution and ecology of Sudanese mangroves are reviewed in this paper. Mangroves naturally occur along the southeast Sudanese Red sea coast and traverse the province of Red sea intermittently extending from Southeast-Northwest between 12� N, 43� E and 30� N, 32� E, and covers a distance of approximately 2,000 km. In addition to climate issues, the conversion of mangrove area to salt pan farming, embankment for aquaculture ponds and, recently, rapid urban development found to be negatively affected mangrove extend. The total Sudanese mangrove area ranged between 329 and 721 ha. During 1984-1990 mangrove increased, while it decreased sharply during the period 1995-2000. Moreover, between 2000 and 2010, a large increment in the mangrove area was observed. With this large flocculation in mangrove area, there are few references for Sudanese mangrove regarding their management and conservation related issues. Thus, there were not easily accessible information to the local and international scientific communities� research to allow them to put clear plans for mangrove controlling and protection. To preserve and manage mangrove forests, some methods and measures must be followed: 1) Registration of mangrove forests as natural reserves; 2) establish a research center for mangroves and a national committee for its management; 3) develop a clear plan for the management of mangrove reserves; 4) develop laws to protect and ensure the implementation of mangrove forests; 5) educational programs for the local community and the importance of mangrove trees and provide alternatives energy for local communities to stop excessive cutting of mangrove trees in addition to rationalizing grazing in nature reserves.

The Distance Regularized Level Set Evolution (DRLSE) model is particularly sensitive to the initial contour. Due to the existence of the edge indication function based on the gradient information in the DRLSE model, the image of the segmentation of the non-homogeneous region and the edge is exceptionally complicated. Such complications cause severe interference to the image processing algorithm. In this paper, an image segmentation method based on SPF is proposed for the adverse effects for over-segmentation of the DRLSE model based on large balloon force and iteration number. The algorithm is implemented in three stages. Firstly, we use the region growth output as the initial contours of the DRLSE model after introducing an image preprocessing method based on the maximum inter-class variance. Secondly, the region growth outputs are taken into the DRLSE model by the SPF function based on the regional statistical information and the edge indication function using the gradient information. Thirdly, the scalability of the SPF function is used to correct the regional growth result, and the physician manually uses the labeled \"gold standard\" as the measure of the segmentation result. The effectiveness of the algorithm is verified in different complex environments. Finally, the performance of the algorithm under various balloon forces for multiple iterations is analyzed. The simulation results show that the proposed algorithm can withstand greater balloon force and more iterations without causing over-segmentation

New tests of unbalanced near replicates Lack-of-fit tests within clusters with parametric variance function will be introduced. The suggested tests are scores LOF test within clusters in the variance model, LOF test within clusters in means, and an overall LOF test within clusters in means or variances. Also, three special cases of balanced near replicate will be presented for the variance model, in means, and overall means or variances respectively.

In this study, it was aimed to investigate the change in irisin and heat shock protein 70 level of an intense exhaustion exercise which is applied once in trained individuals.\nSixty volunteer men who participated in the study regularly attended at least three days a week. Blood samples were taken from the participants twice during resting position and after exhaustion exercise. Blood samples were separated into serum and plasma by centrifugation. Irisin and Hsp70 levels were determined in serum samples by ELISA method. The data obtained were analyzed using SPSS package program. Paired Samples t test was used to determine the difference between pre-test and post-test values. The significance level was accepted as p <0.01.\nAs a result of the analysis, it was found that there was a significant difference statistically between pre and post-exercise values in levels of irisin and Hsp70 (p<0,01).\nAs a result; It has been shown that an exhaustion exercise increases irisin and Hsp70 levels in trained individuals. This result is thought to be explained as an increase in the level of irisin as an exercise factor and an increase in the Hsp70 level in parallel with the stress in the organism due to intensive exhaustion exercise.

Life Safety in buildings is a necessary one. The occupancy may be private or public the adoption of life safety measure are mandatory in all type of occupancy. The codes are insisting the importance of life safety very clear in all types of buildings. The implementation of life safety should be assured by the designer. The life safety measures application is one of the main components of passive design of the building. Therefore the life safety should be considered along with the site planning, building planning and materials usage in construction. The life safety design efficiency of the designer depends on the planning, adoption of all basic life safety elements in the escape routes, recommended material usage, the way to lead out and to evacuate the building by minimum possible life safety marginal time. In this paper a multifunctional commercial high rise building is selected as research sample. This building is having many life threats due its multi various functions and its population gathering. Applied research type is adopted. Case study method is used to study all design parameters. All life safety elements of escape routes, site planning parameters, building planning parameters, its existence, functions and its dimensional adequacy are evaluated by the application of international and national life safety cods. After study, analysis and evaluation the results are discussed. One of the life safety design elements is found as inadequate. The inadequacies impact are explained as per the cods recommendations and the paper is concluded.

Depression is one of the widely known mental disorder growing at a very fast pace. More than 300M of the world population have depressive episode at least once in a life time. Yet more than 50% of such patients don�t access the medical facilities due to the lack of knowledge. The rapid advancement in ICT technologies could be used to exploit the fast growing mental disorder inorder to detect the depression at early stages. In this paper, we have proposed a novel technique to identify depression using the textual communication of a subject. State of the art machine learning algorithm, i.e. na�ve bayes is used on the data collected from social network (Twitter) for detecting depression. We believe that this technique can be used as a care giver to identify depression at early stages so that better treatment could be provided.

Biomass briquettes replace fossil fuels such as coal or oil and have versatile relevance’s in emergent countries. These briquettes are a renewable energy source and limit the carbon emission to the atmosphere. We use Artocarphus Heterophyllus leaves (AHL), a kind of waste collected from the Jack fruit tree mainly from village side. In order to make selection, the properties of the material taken and the cost of the binder addition play an important role. In this experiment cow dung (CD) and saw dust (SD) with water are taken as binder material considering their availability and cost effectiveness. Five samples were prepared by adding the binders to various weight percentages. The briquettes are obtained at high pressure and they undergo mechanical and thermal treatment. Thermal and mechanical investigations of the fuel were performed utilizing standard methods comprising compression bomb calorimetry, thermogravimetric analysis (TGA/DTA) and Scanning electron microscopy respectively.

AbstractIn the past three decades, there has been an increase in the number of Trade Agreements (BTAs) globally. These agreements involve huge human and financial movements and are essentially based on trade and investment. This phenomenon has brought a new dimension to the global business environment by changing the landscape in which firms from emerging markets operate in another emerging market. In the light of this, this study conceptualizes how trade agreement provisions influence the choice of foreign market entry mode of resource-seeking Chinese Multinational Enterprises operating in Nigeria. A model that uses Dunning�s OLI theory was used as a model and platform that integrates Resources Dependency Theory. Institution theory was developed to assemble resources seeking Chinese firm�s Ownership advantages and Nigeria Location specific advantages to investigate eight research issues. This is a conceptual paper focusing on secondary research. The findings confirm that there were similarities and differences in Dunning lists of Ownership advantages, location advantages in Nigeria and internalization advantage of resources seeking Chinese MNCs operating in Nigeria.