Miracle-dz/UniFAR-FTUs huggingface dataset:
Discrete signal processing techniques for power converters : multi-carrier modulation and efficient filtering techniques

Digital control has become ubiquitous in the field of power electronics due to the ease of implementation, reusability, and flexibility. Practical engineers have been hesitant to use digital control rather than the more traditional analog control methods due to the unfamiliar theory, relatively complicated implementation and various challenges associated with digital quantization. This thesis presents discrete signal processing theory to solve issues in digitally controlled power converters including reference generation and filtering. First, this thesis presents advancements made in the field of digital control of dc-ac and ac-dc power converters. First, a multi-carrier PWM strategy is proposed for the accurate and computationally inexpensive generation of sinusoidal signals. This method aims to reduce the cost of implementing a sine-wave generator by reducing both memory and computational requirements. The technique, backed by theoretical and experimental evidence, is simple to implement, and does not rely on any specialized hardware. The method was simulated and experimentally implemented in a voltage-controlled PWM inverter and can be extended to any application involving the digital generation of periodic signals. The second advancement described in this thesis is the use of simple digital filters to improve the response time of single-phase active rectifiers. Under traditional analog control strategies, the bandwidth of an active rectifier is unduly restricted in order to reduce any unwanted harmonic distortion. This work investigates digital filters as a proposed means to improve the bandwidth, and thereby create a faster, more efficient ac-dc power converter. Finally, a moving average filter is proposed, due to its simple implementation and minor
Intra-arterial Cell Transplantation Provides Timing-Dependent Cell Distribution and Functional Recovery After Stroke

Background and Purpose—Intra-arterial cell transplantation offers a novel therapeutic strategy for stroke; however, it remains unclear how the timing of cell administration affects cell distribution, brain repair processes, and functional recovery. Here, we investigate the hypothesis that the timing of cell transplantation changes the behavior of the cell graft and the host environment in a way that affects functional recovery. Methods—Rats received human mesenchymal stem cells via the internal carotid artery at 1, 4, or 7 days (D1, D4, or D7) after middle cerebral artery occlusion and reperfusion. Animals were euthanized at various time points to assess cell distribution, infiltration of activated microglia, expression of brain-derived neurotrophic factor, reactive astrocytes, angiogenesis, and functional recovery. Results—Human mesenchymal stem cells were widely distributed both in the peri-infarct and core in D1, and dominantly in the peri-infarct in D4. Very few cells were observed on D7. At day 7 pos.
THE DESIGN OF MULTIPLAYER SIMULATIONS FOR ONLINE GAME-BASED LEARNING

A software architecture that facilitates interactive multiplayer simulations, intelligent software tutors, and immersive virtual environments is presented. The implementation employs a hybrid selection of techniques mainly related to a “restful” server strategy. The paper concludes with an implementation of the software architecture: Virtual Cell, a three-dimensional environment for teaching the processes and structures of Cellular Biology.
Endpoint position control using biological concepts

A biologically inspired algorithm is refined for position control of a multilink robotic manipulator. In this approach, changes in joint angles are computed by a method of successive forward approximation in a manner that is naturally parallel and very simple. Improvements to the algorithm provide nearly uniform convergence for all motions regardless of direction and location in the workspace. Neural networks may be used to further improve trajectory control. <<ETX>>
Perceived Benefits and Intakes of Protein, Vitamin C and Iron in Preventing Anemia among Pregnant Women

Introduction: Nutritional adequacy is essential in ensuring the normal growth and development of the fetus. Perceived benefits will be able to strengthen pregnant women to meet optimum nutritional intake to prevent anemia. Adequacy of protein, vitamin C and iron will reduce the risk of iron deficiency anemia in pregnancy. This study aims to examine the association between perceived benefits with protein, vitamin C, and iron intake in preventing pregnancy anemia.Methods: This study used a cross-sectional design and was conducted in August-October 2017 among105 pregnant women. This study used the multistage random sampling method. The population of this study was pregnant women who had antenatal care in four Community Health Centre in Surabaya namely Jagir, MedokanAyu, SidotopoWetan, and Gundih. Results: The average daily protein intake was 76.34 (SD = 35.88) gram/day. There was a significant association between perceived benefits with protein intake (r = 0.272; p = 0.005). The average daily vitamin C intake was 90.67 (SD = 116.54) mg/day. There was no significant association between perceived benefits and vitamin C intake (r = 0.175; p = 0.074). The average daily iron intake was 64.73 (SD = 23.13) mg/day. There was a significant association between perceived benefits and iron intake (r = 0.219; p = 0.025). Conclusion: The knowledge of pregnant women about the benefits of nutrition will affect the adequacy of pregnancy nutrition. Health workers need to provide health education on the importance of nutrition for pregnant women to prevent anemia during pregnancy.
THE COMPARISON OF ITEMS‟ AND TESTEES‟ABILITY PARAMETERESTIMATIONIN DICHOTOMOUS AND POLITOMUS SCORING(STUDIES IN THE READING ABILITY OF TEST OF ENGLISH PROFICIENCY)

This study aimed to compare the testees‘ ability estimation in the politomus and dichotomous scoring model. The data used in this study are the responses of testees to the Test of English Proficiency (TOEP) set 1 in reading subtest, which are usually scoring in dichotomous model then they are scoring in politomus model. In the reading subtest of TOEP, in one text presented several items related to the text. In the dichotomous scoring, each item is scored one by one item. As alternative, every item item is scored using dichotomous model separately, but for every text, the acquisition of these items are added to the score attained politomous model. The estimation of items‘ and abilities‘ parameter in dichotomous scoring were done using the Rasch models and in the politomous scoring were done with partial credit models using QUEST software. Comparative analysis of the two models are seen based on the average results of the estimated difficulty level, graphical analysis, calculating the correlation, and the results of the value of information function. The results of the analysis showed that the average item difficulty dichotomous scoring model is 0.486 with a standard deviation of 0.895 and the mean level of difficulty politomous scoring model is -0.105 with a standard deviation of 0.695. The correlations between abilities of participants using the dichotomous and the politomous scoring model is 0.94. The value of information function in the dichotomous scoring model is higher than in the politomous scoring models. These results indicate that the Reading of TOEP set 1,the dichotomous scoring model is better than the politomous scoring model.
New Functions for Unsupervised Asymmetrical Paraphrase Detection

Monolingual text-to-text generation is an emerging research area in Natural Language Processing. One reason for the interest in such generation systems is the possibility to automatically learn text-to-text generation strategies from aligned monolingual corpora. In this context, paraphrase detection can be seen as the task of aligning sentences that convey the same information but yet are written in different forms, thereby building a training set of rewriting examples. In this paper, we propose a new type of mathematical functions for unsupervised detection of paraphrases, and test it over a set of standard paraphrase corpora. The results are promising as they outperform stateof- the-art functions developed for similar tasks. We consider two types of paraphrases - symmetrical and asymmetrical entailed - and show that although our proposed functions were conceived and oriented toward the asymmetrical detection, they perform rather well for symmetrical sentence pairs identification.
Accelerating scientific applications on reconfigurable computing systems

Advances in multi-core, many-core, and heterogeneous computing systems have created numerous possibilities of parallelization and hardware acceleration. With their exibility and abundant logic resources, reconfigurable computing systems, in particular systems based on field-programmable gate arrays (FPGAs), have become an attractive option as hardware accelerators. This dissertation studies acceleration of QR and LU matrix decompositions on FPGA-based reconfigurable computing systems, where there are few solutions for scalable floating-point matrix decompositions. First, exploring experiments are presented to reveal the characteristics regarding different embedded processor cores and system configurations on an FPGA-based system. Next, a vector reduction method termed delayed buffering is proposed. With its low latency and high operator pipeline utilization, the method accelerates matrix decomposition by improving composing vector reduction computation. Finally, with the delayed buffering reduction incorporated, using an enhanced tiled matrix decomposition algorithm to access off-chip memory and parallelizing the main decomposition loop for on-chip computation allow a single FPGA to perform better than two general-purpose processors plus a graphics processing unit (GPU) for matrix decomposition of size limited by the capacity of off-chip memory.
Study of immunohistochemical expression of P53 In colorectal carcinoma

Introduction: p53 is a very commonly mutated gene in colon cancer and the prevalence of p53 mutations in colorectal cancer varies from 40 to 60% in various studies. Molecular pathogenesis of colorectal cancer commonly involves mutation in p53 gene which leads to expression of p53 protein in tumor cells. Some studies have reported that the presence of p53 mutations in colon cancer indicates a relatively poor prognosis, while other studies have failed to show such a relationship. Observation: The present study was done to study p53 expression in colorectal carcinoma and to correlate it with various pathological factors i.e. tumor size, tumor type, grade of tumor and depth of invasion. Materials and Methods: We studied 38 cases of colorectal carcinoma (29 non mucinous adenocarcinoma and 9 mucinous adenocarcinoma). p53 expression was evaluated by immunohistochemistry. The correlation between p53 protein overexpression and each variable was evaluated using Chi-square analysis and Fisher Exact test. Results: Positive p53 immunostaining was observed in 58%. p53 expression showed an increasing trend with increasing histological grade and the difference was statistically not significant. p53 overexpression was related to the depth of tumor invasion which was maximum in stage pT4 followed by stage pT3 and stage pT2 and the difference was statistically significant (p value = 0.032). No significant correlation was found between p53 expression and size, type and grade of tumor in colorectal carcinoma. Keywords: p53, Colorectal carcinoma, Immunohistochemistry.
Simulation Study of Some Spatial Diversity Techniques for MIMO Wireless Communication Systems

This paper presents simulation results and comparative analysis of some Spatial Diversity Techniques for Multiple Input Multiple Output (MIMO) based Wireless Communication Systems. Performance of Alamouti scheme and Space Time Block Codes (STBC) are evaluated through MATLAB simulation study. The Bit Error rate and Code rates of the schemes are compared. The simulation is carried out for various modulation schemes.
How to be a successful scientist with limited access to information sources

The study proposed is designed to understand how scientists, in a context of limited access to printed and electronic scientific and academic journals, search, find and cite reference sources. The study will reveal journal citation patterns among Venezuelan scientists whose research is published in journals indexed in WoS from 1999 to 2008. Bibliometrics will be used to identify most published Venezuelan scientists, research areas, institutional affiliation, collaboration and reference sources. The long interview technique will be used to understand how they solve their information needs to successfully publish in international journals. Patterns and categories will be developed in an effort to construct a model of scientific information usage and acquisition in a setting of limited access to information sources. Preliminary search in WoS has resulted in 13,347 articles in which at least one author reported a Venezuelan address.
Impact of passive heat stress on persons with spinal cord injury: Implications for Olympic spectators

ABSTRACT Environmental heat stress can negatively impact health, work capacity, and athletic performance and potentially to lead to life-threatening consequences if not mitigated. With the upcoming Toyko Olympic games to be held during anticipated warm ambient temperatures (up to 29°C), and with spectators potentially spending long durations of time outdoors, certain populations of persons with impaired thermoregulatory capacity will be at higher risk of heat-related illness from passive heat stress. Persons with spinal cord injury (SCI) are one of these groups as a result of a decentralized sympathetic nervous system, which leaves them with impairment in convective and evaporative cooling via vasodilation and sweating, respectively. This review summarizes (1) thermoregulatory physiological responses of persons with SCI under passive heat stress: the effect of level and completeness of injury; (2) the impact of passive heat stress on quality of life (QOL), outdoor participation, behavioral thermoregulation, and cognition; (3) recommendations and education for clinicians providing health care for persons with SCI; and (4) suggestions of future directions for exploring the gaps in the literature on passive heat stress in persons with SCI. This article aims to equip consumers with SCI and health-care professionals with the most up-to-date knowledge on passive heat stress responses in persons with SCI, so that their attendance at the Olympic games can be done with maximal safety and enjoyment.
Elasticity in IaaS Cloud, preserving performance SLAs

Infrastructure-as-a-Service(IaaS), one of the service models of cloud computing, provides resources in the form of Virtual Machines(VMs). Many applications hosted on the IaaS cloud have time varying workloads. These kind of applications benefit from the on-demand provision ing characteristic of cloud platforms. Applications with time varying workloads demand time varying resources in IaaS, which requires elastic resource provisioning in IaaS, such that their performance is intact. In current IaaS cloud systems, VMs are static in nature as their configurations do not change once they are instantiated. Therefore, fluctuation in resource demand is handled in two ways: allocating more VMs to the application(horizontal scaling) or migrating the application to another VM with a different configuration (vertical scaling). This forces the customers to characterize their workloads at a coarse grained level which potentially leads to under-utilized VM resources or under performing application. Furthermore, the current IaaS architecture does not provide performance guarantees to applications, because of two major factors: 1)Performance metrics of the application are not used for resource allocation mechanisms by the IaaS, 2) Current resource allocation mechanisms do not consider virtualization overheads, can significantly impact the application’s performance, especially for I/O workloads. In this work, we develop an Elastic Resource Framework for IaaS, which provides flexible resource provisioning mechanism and at the same time preserves performance of applications specified by the Service Level Agreement(SLA). For identification of workloads which needs elastic resource allocation, variability has been defined as a metric and is associated with the definition of elasticity of a resource allocation system. We introduce new components Forecasting Engine based on a Cost Model and Resource manager in Open Nebula IaaS cloud, which compute a n optimal resource requirement for the next scheduling cycle based on prediction. Scheduler takes this as an input and enables fine grained resource allocation by dynamically adjusting the size of the VM. Since the prediction may not always be entirely correct, there might be under-allocation or over-allocation of resources based on forecast errors. The design of the cost model accounts for both over-allocation of resources and SLA violations caused by under-allocation of resources. Also, proper resource allocation requires consideration of the virtualization overhead, which is not captured by current monitoring frameworks. We modify existing monitoring frameworks to monitor virtualization over head and provide fine-grained monitoring information in the Virtual Machine Monitor (VMM) as well as VMs. In our approach, the performance of the application is preserved by 1)binding the application level performance SLA store source allocation, and 2) accounting for virtualization over-head while allocating resources. The proposed framework is implemented using the forecasting strategies like Seasonal…
Determinants of hypertension among diabetic patients in Public Hospitals of the Central Zone, Tigray, Ethiopia 2018: unmatched case-control study

Introduction Hypertension, among diabetic patients, is a worldwide public-health challenge and a leading modifiable risk factor for other cardiovascular diseases. The main purpose of this study was to identify determinants of hypertension among diabetic patients. Methods Data were collected from January to March 2018 using an interviewer-administered structured questionnaire. Data collectors and supervisors were trained before the period of data collection. The questionnaire was pretested on 5% of the sample at Suhul hospital. Bivariable logistic regression was employed to examine the crude associations between the outcome variable and determinant variables. This was followed by multivariable analysis to examine the determinants of hypertension among diabetic patients by selecting variables which had p value ≤0.2 in the bivariable analysis. Results The age range of the respondents was 18-80 years, with the median age of 51.56±14.92 years. Not attending diabetes mellitus education sessions (AOR=2.61, 95% CI (1.12,6.1), duration since diagnosis with diabetes (AOR=8.52; 95% CI (1.97, 36.84), poor glycemic control (AOR=22.99, 95CI (5.92,89.28), overweight (AOR=4.84, 95%CI (1.42,16.51), and non-adherence to diabetes medication (AOR=4.66, 95% CI (2.22,9.79), diet (AOR=9.70,95% CI (3.34,28.22), exercise (AOR= 5.47, 95% CI (2.35,12.75), and self-monitoring blood glucose (AOR=6.62, 95% CI (3.16, 13.86) were found to be the determinants of hypertension among diabetic patients. Conclusion This research concludes that longer duration with diabetes, nonattendance of diabetes education sessions, poor glycemic control, and not-adherence to antidiabetic medications, diet, exercise and self-monitoring blood glucose were found to be the determinants of hypertension among diabetic patients.
Reversible compression of HDTV images using median adaptive prediction and arithmetic coding

Methods of compressing HDTV (high-definition television) image sequences are investigated. Best results are achieved by a new combination of median adaptive intraframe prediction and arithmetic coding of the resultant prediction error. Fully reversible compression with low computational complexity is possible. The method has been used to compress the simulated progressive scan HDTV image sequence 'Kiel Harbor' to a rate less than that of an (uncompressed) interlace source. Interlaced HDTV images have been compressed to approximately 55% of their original rate. Intended applications are image storage and full-quality data exchange. <<ETX>>
Predictable timestamp under synchronized clocks in a network

In a network-based distributed environment, a timestamp within a message with its life time is generally used to indicate when this message will expire. It is effective using timestamp to prevent message replays, especially in a local environment. We have showed that a predictable timestamp is critical to the security of protocol design because the session key in the protocol may be broken and even imperil the private key. A conclusion has been made that if an encrypted message only contains a timestamp or other predictable data, then its encryption key is easily to be acquired. However, using timestamp can simply indicate the message expiration time, which is very essential to prevent message replays, especially in a local environment. Therefore, we propose adding some unpredictable data with the timestamp in an encrypted message, such as random numbers, for achieving more secure message transmission and authentication protocol. <<ETX>>
Increased Epicardial Adipose Tissue Thickness: A new Indicator of Subclinical Atherosclerosis in Non-Fat Children with Migraine

Objective: Epicardial adipose tissue is an important predictive factor of incident cardiovascular events independent from the plasma concentration of circulating biomarkers as well as patient’s traditional risk factors. In our study, we aimed to evaluate both epicardial adipose tisssue thickness and carotid intima-media thickness to detect the link between migraine and the increased risk of cardivascular events in children with migraine, independent from traditional risk factors like obesity, high serum lipid and conventional Creactive protein levels. Methods: Forty-five migraine patients and 47 age, and gender-matched healthy children were assesed. regarding carotid intima media and epicardial adipose tissue thickness parameters measured by echocardiography were compared between two groups. Results: No significant difference was detected in children with migraine and control group in terms of serum lipid levels, C-reactive protein levels that are known to be related with coronary vascular changes between two groups. The statistically significant difference was found in carotid intima media and epicardial adipose tissue thickness values between the study and control groups (p<0.001). A significantly positive correlation was found between carotid intima media and epicardial adipose tissue thickness values in migraine group. Conclusion: Early vascular changes in carotid artery can be related to the proinflammatory and inflammatory properties of epicardial adipose tissue thickness in children with migraine. So, we can consider that independent from the traditional risk factors we can detect the increased risk of cardiovascular events in children with migraine attacks.