Abstract\nOver 350 million individuals throughout the globe suffer with Diabetes Mellitus (DM), a chronic disorder characterized by increased blood sugar levels, and the topic of this article. Type 1, type 2, and gestational diabetes are the three most common forms of DM. Different from type 2 diabetes, which is defined by a developing resistance to insulin\'s effects, type 1 diabetes is an autoimmune illness characterized by the destruction of insulin-producing cells in the pancreas. Gestational diabetes is a kind of diabetes that only manifests during pregnancy and, if managed, may have serious consequences for the developing baby. Diabetic illnesses, together with their symptoms and diagnostic procedures, are also covered. Drugs, lifestyle adjustments, physical activity, and dietary adjustments are only some of the options for treatment. Massage treatment, music therapy, and acupressure are all considered as examples of supplementary and alternative medicine. The article goes on to say that DM may have an effect on the brain system, eyes, cardiovascular system, and other organs and systems

This paper presents the response and failure investigation of 6061-T6 aluminum alloy round-hole tubes (6061-RHTs) with different diameter-to-thickness ratios of 16.5, 31.0, and 60.0 and different hole diameters of 2, 4, 6, 8, and 10 mm subjected to cyclic bending with different curvature ratios of -1.0, -0.5, 0.0 and +0.5. The curvature ratio is defined as the minimum curvature divided by the maximum curvature. From the experimental results, the moment-curvature curve shows a stable loop from the first cycle when the curvature ratio is -1.0. However, the moment-curvature curve gradually relaxes and becomes stable after a few cycles when the curvature ratios are -0.5, 0.0 and +0.5. The hole diameter has little effect on the above-mentioned behavior. The ovalization-curvature curve depicts an unsymmetrical, ratchetting and increasing manner as the number of cycles increases for all curvature ratios. The diameter-to-thickness ratio, hole diameter, or curvature ratio has a strong influence on the above-mentioned behavior. A larger diameter-to-thickness ratio, hole diameter or curvature ratio leads to a larger ovalization. In addition, for a certain diameter-to-thickness ratio and hole diameter, the curvature range-number of cycles needed to initiate failure relationships on a log-log scale demonstrate four parallel lines for four different curvature ratios. Finally, the empirical formula proposed by Lee et al. in 2021 was employ and material parameters related to the diameter-to-thickness ratio, hole diameter, and curvature ratio were proposed to simulate the above-mentioned relationship. By comparing with the experimental results, it can be found that the simulation results are in good agreement with the experimental data.

Management of basic effect of earning power partially on the stock price of an corporation of Ultrajaya Milk Industry, Ltd. & Trading Company, Ltd.; and the effect of basic earnings power and earning after tax simultaneously on the stock price of LTD Ultrajaya Milk Industry & Trading Company Ltd. The theoretical framework used in this study is to refer to some of the opinions of financial experts and the results of previous studies stating that the higher the level of basic earnings power and earnings after tax, the higher the effect on stock prices. The variables used are basic earnings power and earnings after tax as independent variables and stock prices as the dependent variable. This research uses quantitative research methods. The data used in this research is secondary data. The data used in this study is in the form of financial statements of LTD Ultrajaya Milk Industry & Trading Company Ltd. the period 2006-2017 originating from the website pages provided by the ultrajaya company. The results of this study indicate that: (1) the basic earnings partially have a weak relationship and the effect is not significant on shares in LTD Ultrajaya Milk Industry & Trading Company Ltd. (2) partially earnings after tax has a moderate relationship and has a significant effect on the Share Price of LTD Ultrajaya Milk Industri & Trading Company Ltd. (3) Simultaneously basic earnings power and earnings after tax have a moderate relationship and a non-significant effect on the Share Price of LTD Ultrajaya Milk Industri & Trading Company Ltd.

This working was administered to set down the effects of lead (Pb) (0, 25, 50, 75, 100 mg L-1) on soybean (Glycine max L.) growth parameters and biochemical responses in controlled climate chamber conditions. Growth and biochemical enzyme activity parameters of soybean plants were changed under heavy metal stress conditions. Pb content of soybeans increased with high concentration. Pb stress conditions negatively affected plant growth, photosynthetic activity, and chlorophyll content. The negative effect of heavy metal was greater with increasing Pb doses. Pb applications significantly increased antioxidant enzyme activities. In addition, more malondialdehyde (MDA), hydrogen peroxide (H2O2) and proline were found in heavy metal stressed plants compared to control plants. This study showed that soybean plants develop defense mechanisms against heavy metal stress by regulating enzyme activity and osmolyte deposition.\nThe goal of this working is to determine the state of resistance of Arısoy and Atakişi soybean cultivated in our country to heavy metals. In this working, both the tolerance conditions of heavy metals and the impact of enzyme activities on ion exchange were set out.

This exploratory study presents the progress of the scientific production registered in the\nSCOPUS database about student dropout. The results generated are quantitative and\nqualitative in which aspects such as the number of publications, journals, subject area,\ncountry, and authors with the greatest impact are studied. A bibliometric analysis was\nperformed with 684 documents found in the database using the VOSviewer software. It is\nconcluded that carrying out a bibliometric analysis with the tools offered by the web is\nbeneficial because it allows obtaining information related to scientific production regarding\na specific topic, and data that could not be seen with the naked eye

The beta distribution is one of the most popular probability distributions with applications to real life data. In this paper, an extension of this distribution called the Libby-Novick Beta (LNB) distribution which is believed to provide greater flexibility to model scenarios involving skew-normal data than original one. Analytical expressions for various mathematical properties including its cdf, moments, moment generating function, characteristic function, mean deviation.\n\nThe estimation of LNB distribution’s parameters is undertaken using the method of maximum likelihood estimation. For illustration and performance evaluation of LNB distribution two real-life data sets adapted from earlier studies are used.

Purpose: The aim of this study was the evaluation of the effect of resistance training using thera-band on body composition and growth factors in middle-aged women.\nMethods: Among all women 30 to 65 years old referring to health care centers of Qom city, 20 participants were selected according to inclusion and exclusion criteria and randomly assigned into two groups: exercise (n:10) and control (n:10) group. The exercise training program was resistance training using thera-band 60 minutes per session/ 3 times per week for 8 weeks. In baseline and after the program, body composition, insulin-like growth factor I and growth hormone levels were measured. T-test was performed to determine the pre-post difference (SPSS-19; P≤0.05).\nResults: The exercise training with thera-band significantly reduced body fat percentage, lean mass, and body fat mass and increase growth hormone level, while insulin-like growth factor 1 level did not change significantly.\nConclusion: Resistance training with Thera-band can be considered as a useful method for the improvement of body composition in middle-aged women.

Background: The present study investigated the antidiabetic and hypolipidemic effects of ethanolic leaf extracts of Ziziphus spina-christi grown in Jordan on streptozotosin (STZ)-induced diabetic rats. Materials and Methods: STZ-induced diabetic balb/c male rats were orally administered 200 mg/kg of 75% Z. spina-christi ethanolic leaf extract daily for two weeks. Both STZ diabetic control and normal control were subjected to normal saline. Serum was collected from all animal groups. Glucose, insulin, cholesterol and triglycerides were analyzed following commercial diagnostic kits. Results: The Ziziphus extract significantly lowered glucose levels and significantly increased serum insulin levels in diabetic rats compared to the control STZ diabetes rats. Moreover, diabetic animals given Ziziphus extract showed significant reduction of triglycerides compared to both diabetic control and nondiabetic control rats, suggesting it has an antilipidemic effect. However, the reduction in cholesterol found in extract-treated diabetic rats was not significant compared to either control group. Conclusions: These findings suggest hypoglycemic and hypolipidemic effect of Ziziphus ethanolic extract, and its potential as antidiabetic agent.

A new BEME distribution known as beta exponentiated moment exponential (BEME) distribution is proposed. We provide shape properties, moments, mean deviation about the mean, mean deviation about the median. We derive mathematical properties of the BEME distribution including the reliability measures, Bonferroni and Lorenz curves, rth order statistics, measures of uncertainty such as Shannon entropy and s-entropy. The parameters of the distribution are estimated by maximum likelihood, information matrix along with application of the BEME distribution is shown through two real data sets

In this paper, we develop a potentiated lifetime model that demonstrates the bathtub-shaped hazard rate. This proposed model is referred to as Kumaraswamy modified size-biased power function(Kum-SBP) distribution. Various mathematical and reliability characteristics are derived. The maximum likelihood method is used to estimate the model parameters and its performance is discussed via simulations. Three lifetime sets of data are utilized to illustrate the flexibility of the proposed model

Sheath blight (ShB) caused by Rhizotonia solani Kuhn is one of the important diseases of rice. This disease can lead to loss the crop up to 80%. So far, the disease however is paid poorly attention by the farmers due to by the lack of information about the control techniques. Therefore, the development of practical controls that are simply understood by the farmers such as the use of resistant varieties is needed to do. The use of resistant local varieties are interested to develop because it is easy to obtain and the durable resistance. At least amount of 12 local varieties of rice have been collected. It is possible that one or more of the varieties is/are resistant to sheath blight. This study aimed to evaluate the field resistance of 12 local varieties and 3 superior varieties of rice. The treatments were arranged by Randomized Completely Block Design (RCBD) with three replications. Each variety was grown on the land of paddy field at 3x3m2 with spacing 0.2mx0.2m. The observation variables were first day of disease appearence, disease incidence, disease severity, infection rates, area under the disease progress curve (AUDPC), area of blight, sclerotia number, and crop yields. The results showed that Padi Hitam could be considered as the most tolerant varieties in the field compared to both the other local varieties and those superior varieties. The variety performed the lowest disease intensity and higher yield than the others.

Presently, Wireless Sensor Networks (WSNs) offered a noteworthy component of surveillance technologies. Energy efficiency in WSN plays a crucial role in the functioning of WSN. Clustering in WSN offers a significant energy efficient technique in WSN. However, it leads to the issue of hot spot problem. For addressing the problem, unequal clustering process in WSN is proposed. In this paper, a new hybridization of Social Spider with Krill Herd algorithm named SS-KH for unequal clustering in WSN is presented. Here, the SS algorithm initially selects the Tentative Cluster Heads and then the KH algorithm is applied to choose the Final Cluster Heads. The presented SS-KH algorithm effectively selects the Cluster Heads in an efficient way. The presented algorithm undergoes different scenarios based on the positions of Cluster Heads. Then, a detailed comparative analysis is made with respect to different measures under several dimensions.

ABSTRACT \n\nThe current research data reveals that geopolymer concrete under ambient curing has an extraordinary enrichment in its strength and performance, enhancing an environmental friendly concrete. However many phases of binder modified geopolymer concrete (GPC) are unfathomed. In this novel work performance of ultrafine ground granulated blast furnace slag (UFGGBS) (5%, 10% and 15%) and fly ash-based GPC at ambient temperature were studied. NaOH molarity (10M, 12M and 14M) were prepared with different percentages of UFGGBS and fly ash. The performance of GPC was evaluated by performing workability, porosity, Compressive strength (56days curing) and rapid chloride permeability test (RCPT). The outcome of the research proves that the addition of UFGGBS enhanced the performance of GPC for all the molarity.\n\nKeywords\n\nUltrafine ground granulated blast furnace slag, rapid chloride permeability test, Fly ash, molarity, Geopolymerconcrete.

This paper outlines the most relevant changes and improvements that have been taking place in the offshore oil and gas sector, such as changes to regulations and internal organization of regulatory authorities; working groups and industrial associations; developments and advancements in safety technologies with respect to well integrity, Blowout Preventers - BOPs, capping, and containment; technical and operational standards; and risk management practices. Some possible implications and concerns related to these recent and to the possible future reforms will be discussed. Related concerns exist if and how possible changes and possible additional requirements can affect industry which mainly uses equipment certified using American technical standards. It is questionable if the current situation is sustainable or domestic certification of the host country should be required for equipment and drilling rigs intended to operate worldwide outside the United States’ waters. Countries with strict prescriptive offshore regime are less affected compared with those who use risk assessment approach. Europe is affected mostly because it uses risk assessment goal-oriented approach where all the best worldwide available technologies, standards and practices should be used but with exclusion of some of its own domestic rules. Namely, equipment for offshore drilling is out of the scope of the relevant European product safety legislative if it is used only offshore on mobile units. Such equipment is certified under current worldwide practice dominantly or in the most cases following only United States’ rules. All future changes in offshore regime should be balanced in order to avoid costs related to additional certifications if they do not contribute to the increased overall safety level.

Pedestrian detection is a challenging field due to some intrinsic problems in detection. Different size, color, background, pose and clothing are some of these problems. In the recent years, a dose of methods is introduced and evaluated, among them, some ones show reasonable performance but the problem is steel an unresolved. In this research we will use of Multi Classifier system/fusion(MSC/MCF) which combine output of different classifiers to obtain a better detection rate. Data fusion is a well-known technique in data science to fuse different type of data in different levels (raw data, feature, decision) to make a more informative system output. Pedestrian detection due to its wide applications draw attention to itself like in vehicle industry in order to increase safety and prevent collision in roads. In consequence autonomous vehicles, beside lots of methods and techniques those applied, pedestrian detector is a significant part of its safety. Combining different classifiers outputs (decision) will provide better precision in final decision, if we consider some criteria in our MCS system. In this article we will use of three well-known object detectors for pedestrian detection and combine depth map as the output of stereo vision to enhance our proposed classifier which fine tunes a famous deep network object detector (RCNN). In the final detection rate we will improve detection rate by 25 percent in comparison with each individual classifier.

As part of sustainable local development in the region of Adrar, one of the largest areas in the Algerian Sahara, te search for local useful substances was started by the Algerian state, to meet the need for building materials. The area of Adrar is located in the extension of the primary chain of Ou garta which separates two sedimentary basins: that of Regagne and Timimoune, as well as the basin of Sbâa. In this context, an experimental study focuses on the characterization of clay deposits, with a view to their valorization in the sector of the building materials industry (ceramics), whose purpose is to contribute to the use of local materials, now thus a necessity on the economic and especially ecological level, and the environment. In this regard, we wanted to develop from Adrar clay, materials, which can be used in the industrial field, medicine, Agri-food or in catalysis application. Their fields of application are vast, industrial, sanitary, environmental, etc. These polides are used in heterogeneous catalysis.