Journal of Science & Technology (JST)
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Comparison of lipemia interference created with native lipemic material and intravenous lipid emulsion in emergency laboratory tests
Get PDFIntroduction: This study aimed to investigate the effects of lipemia on clinical chemistry and coagulation parameters in native ultralipemic (NULM) and intravenous lipid emulsion (IVLE) spiked samples.
Materials and methods: The evaluation of biochemistry (photometric, ion-selective electrode, immunoturbidimetric method), cardiac (electro- chemiluminescence immunoassay method) and coagulation (the viscosity-based mechanical method for prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen and the immunoturbidimetric method for D-dimer) parameters were conducted. In addition to the main pools, five pools were prepared for both types of lipemia, each with triglyceride (TG) concentrations of approximately 2.8, 5.7, 11.3, 17.0 and 22.6 mmol/L. All parameters’ mean differences (MD%) were presented as interferographs and compared with the desirable specification for the inaccu- racy (bias%). Data were also evaluated by repeated measures of ANOVA.
Results: Prothrombin time and APTT showed no clinically relevant interference in IVLE-added pools but were negatively affected in NULM pools (P < 0.001 in both parameters). For biochemistry, the most striking difference was seen for CRP; it is up to 134 MD% value with NULM (P < 0.001) at the highest TG concentration, whereas it was up to - 2.49 MD% value with IVLE (P = 0.009). Albumin was affected negatively upward of 5.7 mmol/L TG with IVLE, while there was no effect for NULM. Creatinine displayed significant positive interferences with NULM starting at the lowest TG con- centration (P = 0.028). There was no clinically relevant interference in cardiac markers for both lipemia types.
Conclusions: Significant differences were scrutinized in interference patterns of lipemia types, emphasizing the need for careful consideration of lipemia interferences in clinical laboratories. It is crucial to note that lipid emulsions inadequately replicate lipemic samples
Seasonal Variation of Major Nutrients and Selected Physicochemical Parameters in Soil from Small Scale Tea Farms Along Sulal River, Bureti Sub County, Kericho County, Kenya
Get PDFA study was conducted to evaluate seasonal variations of major nutrients and selected physicochemical parameters in soils. The soil samples were collected from small scale tea farms adjusted to Sulal River in Kenya before and after the application of nitrogen, phosphorous, potassium (NPK) fertilizer in order to ascertain the farmer’s role in controlling the movement of chemical nutrients into the river. Ten soil samples were collected from selected ten different tea farms and analyzed for pH, percentage moisture content (MC), electrical conductivity (EC), nitrate-nitrogen (NO3-N) and phosphorous (PO3-P) were analysed calorimetrically using Salicylic acid and Olsen methods respectively while potassium by flame photometer. Standard methods, IBM SPSS 20 was used for data analysis. The results during dry season revealed that the range of pH was 4.07±0.03 - 4.98±0.08, MC was 12.58±0.52 - 21.76±0.52 %, EC was 85±7.85- 245±6.50 µS/cm, NO3-N was 0.14±0.03 - 0.87±0.01mg/L, PO3-P was 0.06±0.03 - 0.32±0.04mg/L and K
was 0.98±0.36- 2.05±0.28 mg/L while during rainy season, the range of pH was 4.18±0.03- 4.80±0.12, MC was 30.92±0.56- 37.36±0.45 %, EC was 216±3.72- 289±7.25µS/cm, NO3-N was
0.33±0.04- 0.90±0.07mg/L, PO3-P was 0.08±0.07– 0.68±0.04mg/L and K was 1.65±0.35-
3.48±0.15 mg/L Seasonal variation revealed significant differences in all parameters except NO3-N and PO3-P. The correlation study indicated that moisture content was significantly correlated to electrical conductivity, PO3-P and K while electrical conductivity and PO3-P were both significantly correlated to K. The soils in both seasons had low major nutrients contents. Stringent legislation on management of soils along the rivers is recommended.
 
Multi-Terminal Direct Current (DC) Networks for Grid Integration of Offshore Wind Farms: Operation and Power Flow Control Using Genetic Algorithms
Get PDFOffshore wind energy is expected to make a major contribution toward meeting Europe's renewable power ambitions. Because of the massive size and growing distance from shore of proposed future offshore wind farms, grid connectivity through a transnational DC network is very desired. This study looks at a nine-node DC grid that links the United Kingdom (UK), the Netherlands (NL), and Germany (DE). Distributed voltage control (DVC) is a unique approach for controlling power flow inside a multi-terminal DC grid that uses voltage-source converters. To reduce the amount of energy lost during transmission, this strategy uses an optimum power flow (OPF) solution. The paper's key contribution is the use of a genetic algorithm (GA) to resolve the OPF issue under the N1 security restriction. Following a summary of the primary DC network component models, the suggested control mechanism is shown in action through multiple case studies.
 
IMPLEMENT OF SMART HEALTH CARE MONITORING SYSTEM USING MOBILE IOT AND CLOUD COMPUTING TECHNOLOGIES
Get PDF: Recently, many research works were interested in combining cloud computing and IoT to design systems for smart health care. Many authors have highlighted the benefits of using cloud computing with IoT and proposed a cloud infrastructure to extend the limited resources of the sensors and to facilitate the management of the sensor-centric applications in many domains. However, about MCIoT convergence, there are fewer research works. One of the projects is about a developed platform based on MCIoT where sensors can interact with a mobile device which has access to the cloud via Internet using Bluetooth. Based on restful web services, the framework is feasible on resource constrained devices. Our work aims basically to come up with a general service architecture for smart healthcare monitoring application, that combines the features of mobile devices, sensors, and cloud computing to offer to the user the enhanced services that are accessible anywhere while guaranteeing scalability and security. Our general service architecture to build a network for health care applications that generated data is stored in the cloud our mobile application will show the accurate results on user dashboard of their smartphones
Energy-Aware VMs Consolidation Computing Frameworks’ of Data Center in Cloud Computing Environment
Get PDF: Cloud computing is a service model that can conveniently access a shared pool of configurable computing resources that can be quickly configured and released on demand. In cloud data centers, the scale and complexity of various computing resources such as servers, network equipment, and cooling systems are constantly evolving, which consumes a lot of power and increases the energy consumption of the data center. Because cloud data center resources are not optimized for maximum utilization, they consume more power. Therefore, it is necessary to integrate virtual machines (VMs) on data center servers to help optimize the use of resources in the cloud, thereby reducing energy consumption. By considering the optimal power consumption of various data center resources, many researchers have proposed various methods and algorithms to reduce the power consumption of servers and network equipment. In this paper, we introduced two energy-saving computing frameworks (1) data center energy-saving server power model, (2) energy-saving VM migration based on Multi-objective to help optimize data center power consumption
Discussion About Gap Between Necessary Healthcare Trends and Apps Used
Get PDFThe fast pace of technological improvement and the rapid development and adoption of healthcare applications present crucial challenges for clinicians, users and policy makers. [39] Pandemic forced everyone to explore options that require minimal human interaction. This brought a surge in medical and health related app development. When initially conceived, these mobile medical applications performed basic functions e.g., BMI calculator, accessing reference materials etc; however, increasing complexity offers clinicians and patients a range of functionalities. [2] With more awareness amongst people, the apps started incorporating more features pertaining to healthcare. Even with the increase in medical apps usage today, it cannot be determined if the apps are enough to replace real doctors and adopt a completely app-dependent system for healthcare. In this paper, all the new trends that became increasingly popular related to medical apps have been explored. Then, these trends have been discussed and also what distinguishes them compared to the already existing features. We then take a look at the data of 130 existing apps that provide support for the mentioned trends in one way or another from a list of most used apps of last year in the Indian android market. With the analysis of the features in the apps, we take a look at what support is already provided. We then take a look at what could be done further to improve the already existing apps. With the combination of apps analysis and discussion on improvements, we can also draw a conclusion if the treatment of real doctors can be substituted with such apps
Closure of cranial sutures and expansion of epiphysis of bones as indicators of ageing in forensic sciences: A Review
Get PDFAgeing is very difficult to define due to it is difficult to distinguish between real effects of time and degenerative diseases. For this analysis cross sectional study is to be done and results compared with the individuals with different age and interpretations must be taken for the genetic and environmental origin. There are numerous changes of adults for the morphological, physiological and psychological changes and the distinction between pathological and normal situation is always arbitrary. Skull deformation requires first determining the thickness of the skull and how it changes with age. The present study involves all the detail information of the cranial sutures and relation between sutures and aging. the cranial sutures maintain a state of patency by synchronised remodelling efforts of bone deposition and resorption from infancy through early adulthood. The ability to estimate age from the skeleton requires a thorough understanding of the nature, sequence, and timing of skeletal changes across time, as well as the link between these processes and chronological metrics. Age indicators should be traits or processes that change unidirectional with age, correlate with chronological age and vary consistently among individuals. It's vital to remember that chronological and biological ages aren't perfectly matched because the skeletal ageing process differs from person to person. The trajectory effect describes how the gap between biological and chronological age develops as people get older. The review also describes about the epiphysis and its relation between the ageing which is the bony caps on
the extremities of long bones and other bony structures. For this review many research articles and review articles have been studied. Many researchers has been studied about the relation between the epiphysis and aging. epiphyseal appearance, and union is most useful for immature individuals and has even been used to predict future growth in living individuals.
 
Association Rule Generation for Student Performance Analysis usingApriori Algorithm
Get PDFThe objective of the educational institution that is producing good results in their academic exams can be achieved by using the data mining techniques which can be applied to predict the performance of the students and to impart the quality of education in the educational institutions. Data mining is used to extract meaningful information and to develop relationships among variables stored in large data set. In this paper, Apriori algorithm is used which extracts the set of rules, specific to each class and analyzes the given data to classify the student based on their performance in academics. Students are classified based on their involvement in doing assignment, internal assessment tests, attendance etc., which helps to predict the performance of the student based on the pattern extracted from the educational database. This would help to identify the average and below average students and to improve their performance to provide good results. This analysis further helps matching organization„s requirement with students profile to provide placement for the students. Also, the interestingness of a rule is measured using lift in itself and as a part in formulae. The range of values that lift may take is used to normalize lift so that it is more effective as a measure of interestingness. This standardization is extended to account for minimum support and confidence thresholds.
 
Prediction System for Student’s Academic Performance to increase University Admission System and Cumulative Grade Point Average Credits
Get PDFEducation sector is a big boon for society and it is utmost important to strengthen the university admission system by constructing basic eligibility criteria in order to maintain consistent results and to analyze students’ performance in the forthcoming semesters. This research work incorporates two prediction systems in which prediction system 1 consists of supervised machine learning classification algorithms such as Support Vector Machine, Random Forest, Naïve Bayes, Artificial Neural Networks Multi-Layer Perceptron and prediction system 2 is feeded with unsupervised clustering algorithms such as KNN, K-Means, DBSCAN and Agglomerative hierarchical clustering algorithms that have been trained with students’ academic and personal details. It is found that 98% of detection accuracy is yielded as the result of supervised classification algorithms. Data is an important asset for every organization and hence this article is proposed to secure data from common breaches in software defined network. In this article, hybrid cipher model is proposed to safeguard the communication of data transmitted among the layers in software defined networks. The logic of hybrid cipher model is incorporated in software defined controller which encrypts open flow request and response messages. Software Defined Network is adapted for implementing hybrid cipher model as the network provides customizable platform and act as a unmanned security featured software controller. The proposed Hybrid Diagonal Transposition algorithm is incorporated with software defined wireless sensing node for encrypting user’s data. Hence the unmanned security featured wireless sensing node is situation-aware, it detects malicious traffic flows and encrypts user’s data. Hybrid Diagonal Transposition algorithm prevents data breaches in Software Defined Networks. Results are interpreted for various network and sensor metrics such as routing hops, participating node temperature, battery voltage, humidity, lights, received packets per node, number of network hops, power consumption, radio duty cycle, temperature of sensors, beacon interval, network hops, routing metric and the same work will be extended in future for comparative results
ASurveyofSecurityandPrivacyChallengesinCloudComputing:Solutions and Future Directions
Get PDFWhile cloud computing is gaining popularity, diverse security and privacy issues are emerging that hinder the rapid adoption of this new computing paradigm. And the development of defensive solutions is lagging behind. To ensure a secure and trustworthy cloud environment it is essential to identify the limitations of existing solutions and envision directions for future research. In this paper, we have surveyed critical security and privacy challenges in cloud computing, categorized diverse existing solutions, compared their strengths and limitations, and envisioned future research directions