Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability and alleviation of premature on-state avalanche breakdown in deep submicron power PHEMTs

Reliability of devices operating at premature on-state avalanche breakdown and a method using a proper electrical stress to alleviate the breakdown are investigated in deep submicron power AlGaAs-InGaAs PHEMTs. The results show that depending on the gate and drain biases in device stress, alleviation of premature on-state avalanche breakdown may be achieved without degrading PHEMT's DC and RF performance. On the other hand, PHEMTs may suffer catastrophic failure when stressed at Vds above the threshold value. This study facilitates a useful information for evaluating a reliability constraint imposed by the premature on-state avalanche breakdown and highlights a new direction to improving reliability and power performance of PHEMTs.
Interactive Reference Resolution for Service Robots

Carrying out user commands entails target object detection for service robots. When the robot system suffers from a limited object detection capability, effective communication between the user and the robot facilitates the reference resolution. How human users, being aware of the poor object detection capability of their robot partner, describe objects in 2D images is of primary interest. A survey is conducted in this regard. Results show that color and spatial relation among objects are the mostly used attribute by the participants. Among several aspects of communication yielded from the experiment results, we have chosen “Feedback generation” to implement into our robot system. An algorithm has been constructed for this purpose. The role of robot and human in discourse are also modified from our previous work. To implement the system, first we detect foreground objects (blob). Object recognition takes place simultaneously. Then, the user initiates communication through speech. Based on information provided by the user, our robot system continues to generate feedback and queries, which lead to detection of target object.
Modeling and analysis of single-phase induction machines with dynamic phasors

In this paper we present applications of the phasor-dynamic (or generalized averaging) modeling technique to single-phase induction machines. We are interested in a derivation of large and small-signal models, as this class of machines exemplifies electromechanical systems in which lack of symmetry in the magnetic field produced by the windings prevents the use of standard simplifying assumptions (such as the smoothness of the electromagnetic torque). In the process we derive equivalent circuits that do not require superposition-type assumptions common in the literature. The simplest of these circuits coincides with the standard one. We also present and quantify refinements that could be useful for evaluation of efficiency, and in estimation and control of single-phase induction machines.
A Comparison of Query Execution Speeds for Large Amounts of Data Using Various DBMS Engines Executing on Selected RAM and CPU Configurations

In modern economies, most important business decisions are based on detailed analysis of available data. In order to obtain a rapid response from analytical tools, data should be pre-aggregated over dimensions that are of most interest to each business. Sometimes however, important decisions may require analysis of business data over seemingly less important dimensions which have not been pre-aggregated during the ETL process. On these occasions, the ad-hoc "online" aggregation is performed whose execution time is dependent on the overall DBMS performance. This paper describes how the performance of several commercial and non-commercial DBMSs was tested by running queries designed for data analysis using "ad-hoc" aggregations over large volumes of data. Each DBMS was installed on a separate virtual machine and was run on several computers, and two amounts of RAM memory were allocated for each test. Measurements of query execution times were recorded which demonstrated that, as expected, column-oriented databases out-performed classical row-oriented database systems.
4H-SiC MESFETs behavior after high dose irradiation

This study investigates the response of two MESFET 4H-SiC structures to irradiation at very high total dose levels. It demonstrates that electrically active defects created or stimulated by irradiation change the component response. A MESFET with a semi-insulating substrate exhibits better dose response than one with a buffer layer between channel and conductive substrate.
Control Blood Sugar Levels by Brisk Walking Method

Diabetes mellitus (DM) is a chronic disease, and specific treatments are needed in order to control blood glucose. In addition to pharmacological therapy, non-pharmacology therapy also takes an important role to control blood glucose levels and should be done regularly. Brisk walking is one example of physical activity which included in non-pharmacology therapy and can improve body expenditure. This activity can help DM patient to control their blood glucose level within the normal range. The physical activity of Brisk Walking, which is one type of exercise that can maintain blood sugar levels within the normal range, especially in people with Diabetes Mellitus. This study aimed to determine the effect of Brisk Walking on the blood glucose level of DM patients at Tamalenrea Health Center Makassar City. This study adopted a quasy experiment and a one-group pre-post test design. A total of 16 respondents were selected purposively based on the determined criteria. Data analysis of the difference of blood sugar level between the treatment and control was carried out by using the Spearman correlation test with SPSS version of 21. The difference was significant with the value of p < 0.05. The results showed that the physical activity of Brisk Walking could control blood sugar levels. Statistical analysis showed that the average blood sugar content was significantly lower in patients practicing Brisk Walking (blood sugar level <200 mg/dl)(176.06%) than the control (blood sugar level > 200 mg/dl) (218.81%). So it can be concluded that by doing physical activity Brisk Walking can control blood glucose levels.
Expression of Renal Vitamin D and Phosphatonin-Related Genes in a Sheep Model of Osteoporosis

Simple Summary Osteoporosis is a significant public health issue around the world, with post-menopausal osteoporosis due to estrogen deficiency resulting in approximately ¾ of cases. Treatment with glucocorticoids is another common cause of osteoporosis in humans. Sheep are a well-established model for osteoporosis in humans. In this study, aged sheep had their ovaries removed (ovariectomy) to simulate estrogen deficiency, and some sheep were also treated with glucocorticoids. The results showed that expression of the gene klotho in the kidney had the most marked difference in ovariectomized sheep treated with glucocorticoids for 2 months followed by a recovery period of 3 months. Klotho is known as the “anti-aging” hormone and is an important regulator of calcium and phosphorus metabolism. It may therefore be involved in the recovery of bone mineral density seen in ovariectomized sheep treated with glucocorticoids for 2 months followed by euthanasia at 5 months. As such, it could be an important treatment target for osteoporosis in humans. Abstract Osteoporosis is a significant public health issue around the world, with post-menopausal osteoporosis due to estrogen deficiency resulting in approximately ¾ of cases. In this study, 18 aged Merino ewes were ovariectomized, and 10 were controls. Three of the ovariectomized ewes were treated weekly with 400 mg of methylprednisolone for 5 months and three were treated weekly for 2 months, followed by a 3-month recovery period. At 2 months, five control animals and six ovariectomized animals were euthanized. At 5 months, all the remaining ewes were euthanized. Kidney samples were collected postmortem for qPCR analysis of NPT1, PTH1R, NPT2a, NPT2c, Klotho, FGFR1IIIc, VDR, CYP24A1, CYP27B1, TRPV5, TRPV6, CalD9k, CalD28k, PMCA and NCX1. Ovariectomized sheep had significantly greater VDR expression compared with other groups. Ovariectomized sheep treated with glucocorticoids for 2 months followed by euthanasia at 5 months showed significant differences in TRPV5, CYP24A1 and klotho gene expression compared to other groups. Differences in klotho expression were most marked after adjustment for repeated measures (p = 0.1). Klotho is known as the “anti-aging” hormone and is involved in calcium and phosphorus metabolism. Klotho may be involved in the recovery of bone mineral density in ovariectomized sheep treated with glucocorticoids for 2 months followed by euthanasia at 5 months. Further research on the role of klotho is recommended.
EEC ENVIRONMENTAL POLICY AND BRITAIN. 2ND EDITION

This book is a definitive guide to European environmental legislation. All relevant directives, regulations and decisions are grouped into chapters by subject matter: water, waste, air, chemicals, wildlife and countryside, noise, and environmental impact assessment. For each piece of community legislation there is formal information, a summary of its purpose, a discussion of its contents and its development, a statement of the formal compliance in the UK' and a review of its effects on UK practice. The chapter on air includes emission from vehicles and legislation concerning lead in petrol. (TRRL)
The Effects of Deworming and Multiple Micronutrients on Anaemia in Preschool Children in Bangladesh: Analysis of Five Cross-Sectional Surveys

Anaemia is a major public health problem among children < 5 years of age in Bangladesh due to recurrent intestinal parasite infections. The aim of this study was to understand the association between combining deworming and MNP home fortification (MNP + Deworming) and the prevalence of anaemia among children < 5 years of age in Bangladesh. We used pooled data from five cross-sectional surveys and performed multivariable logistic regression and calculated crude and adjusted odds ratios (AORs) to quantify the association of anaemia with the exposure variables. A total of 9948 households were considered for this paper. In the unadjusted logistic regression, no significant association was detected between the effective MNP coverage and anaemia prevalence, but the associations were significant (p < 0.001) between the deworming and anaemia prevalence and between the MNP + Deworming condition and anaemia prevalence. In the adjusted model, children who were exposed to both deworming and effective MNP coverage were 30% (AOR 0.70; 95% CI 0.52, 0.94; p = 0.018) less likely to be anaemic compared with children who were unexposed to combined MNP + Deworming. The combined effects of deworming and MNP supplementation on the reduction in anaemia prevalence highlighted the importance of using integrated and multidisciplinary intervention strategies.
Roadway Safety Design Workbook

Highway safety is an ongoing concern to the Texas Department of Transportation (TxDOT). As part of its proactive commitment to improving highway safety, TxDOT is moving toward including quantitative safety analyses earlier in the project development process. The objectives of this research project are: (1) the development of safety design guidelines and evaluation tools to be used by TxDOT designers, and (2) the production of a plan for the incorporation of these guidelines and tools in the planning and design stages of the project development process. This document provides the best-available information describing the relationship between various highway geometric design components and crash frequency. It is intended to be used by engineers for the purpose of explicitly evaluating the potential safety trade-offs associated with various design alternatives. This document focuses on quantitative safety relationships for specific design components known to be correlated with crash frequency. It is intended for engineers responsible for the geometric design of streets and highways. Following an introductory chapter, the remaining chapters are devoted to freeways, rural highways, urban and suburban arterials, interchange ramps and frontage roads, rural intersections, and urban intersections.
A real options approach to valuing strategic flexibility in uncertain construction projects

To maximize project value, managers of construction projects must recognize, plan for and strategically manage uncertainty. Current construction planning, estimating, and management practices regarding uncertainty can undervalue projects by failing to exploit opportunities to increase project value, as well as minimize risks. Dynamic uncertainties are described as project conditions that cannot be resolved adequately through improved description or planning for pre-project strategy selection. A real options approach is proposed for proactively using strategic flexibility to recognize and capture project values hidden in dynamic uncertainties. An example of a proposal for a toll road project demonstrates a method of valuing managerial flexibility to evaluate and select strategies. Impacts of real options in other domains, along with this example, are the basis for concluding that using a structured real options approach in construction management can increase returns through improved project planning and management. Potential impacts of the use of real options are discussed, and challenges in valuing real options in construction projects are identified as the basis for future research.
Feto-placental Changes in Pregnancy Induced Hypertension

Aims: To study if there is any difference in the foetus and placenta of pregnant women who are normotensive and those of of hypertensive patients of different severity. Study Design: Prospective study. Place and Duration of Study: Department of pathology, Saveetha institute of medical and technical sciences, between June 2017- June 2018. Methodology: Pregnant women with hypertension attending obstetrics and gynecology department, Saveetha Medical College, Chennai was studied during the study period. The study was conducted in accordance with the guidelines approved by the institutional review board of our Institution. The study population was divided into two groups namely normotensive and hypertensive patients. The hypertensive groups patients were further divided into two groups of mild (BP ≥140/90 mm Hg with proteinuria) and severe (BP ≥ 160/100 mm Hg with proteinuria). The placental specimens after expulsion were collected in 10% neutral buffered formalin solution. Informed consent was obtained in all patients and clinical data were obtained from the case notes. In the histopathology laboratory biopsy was taken from the insertion point of umbilical cord for light microscopy. P-values less than 0.05 were considered statistically significant. Data was entered in MS excel sheet and analysed using SPSS software version. Results: The placental weight, birth weight of baby and APGAR score was decreased in PIH patients than normal pregnant women. Conclusion: The diagnosis and treatment of PIH is very important to prevent complications in mother and baby.
Preliminary results on Ti incremental sheet forming (ISF) of biomedical devices: biocompatibility, surface finishing and treatment

Incremental sheet forming is a technique that allows locally deforming a sheet by means of a movable punch. Even if it requires longer forming time and higher part geometrical tolerances with respect to traditional sheet forming techniques, it does not need dedicated devices and its accuracy can be improved adopting low cost full or partial dies. For these reasons, it results to a flexible technology and economically suitable for low volume batch productions such as pre-series, prototypes or high customised parts. These characteristics well fit with prosthesis manufacturing where each part is a unique product, indeed its geometry needs to meet the patient’s physical characteristics. In the present paper, titanium ISF formed parts will be studied, in particular surface anodising pre-treatment effects on part finishing and biocompatibility are investigated.
Heterozygous DHTKD1 Variants in Two European Cohorts of Amyotrophic Lateral Sclerosis Patients

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by progressive upper and lower motor neuron (LMN) loss. As ALS and other neurodegenerative diseases share genetic risk factors, we performed whole-exome sequencing in ALS patients focusing our analysis on genes implicated in neurodegeneration. Thus, variants in the DHTKD1 gene encoding dehydrogenase E1 and transketolase domain containing 1 previously linked to 2-aminoadipic and 2-oxoadipic aciduria, Charcot-Marie-Tooth (CMT) disease type 2, and spinal muscular atrophy (SMA) were identified. In two independent European ALS cohorts (n = 643 cases), 10 sporadic cases of 225 (4.4%) predominantly sporadic patients of cohort 1, and 12 familial ALS patients of 418 (2.9%) ALS families of cohort 2 harbored 14 different rare heterozygous DHTKD1 variants predicted to be deleterious. Four DHTKD1 variants were previously described pathogenic variants, seven were recurrent, and eight were located in the E1_dh dehydrogenase domain. Nonsense variants located in the E1_dh domain were significantly more prevalent in ALS patients versus controls. The phenotype of ALS patients carrying DHTKD1 variants partially overlapped with CMT and SMA by presence of sensory impairment and a higher frequency of LMN-predominant cases. Our results argue towards rare heterozygous DHTKD1 variants as potential contributors to ALS phenotype and, possibly, pathogenesis.
Perancangan Model Manajemen Pengetahuan menggunakan Model Nonaka Takeuchi (Studi Kasus Administrasi Akademik)

Education quality is one of the main factors in executing education process. This value can be measured from the quality of the educators, curriculum, books, and many more. On the other hand, there is other determining factor that is equally important, which is the service of the place of education. In order to create good service, there should be a standard of service and equality of information from all the stakeholders. With the increase of the knowledge and information, the service should be faster and the decision process should be more effective. Meanwhile, not all of the knowledge and information inside an organization is in explicit forms, and still many tacit knowledge and information. Author proposes the design model of knowledge management so that the tacit knowledges can be collected and transform into explicit forms. The design model will use the model from Nonaka Takeuchi, in which the creation of knowledge is sourced from each individuals and then is transmitted and externalized, collected and transformed into a new knowledge.
Machine learning algorithms for damage detection under operational and environmental variability

The goal of this article is to detect structural damage in the presence of operational and environmental variations using vibration-based damage identification procedures. For this purpose, four machine learning algorithms are applied based on the auto-associative neural network, factor analysis, Mahalanobis distance, and singular value decomposition. A base-excited three-story frame structure was tested in laboratory environment to obtain time-series data from an array of accelerometers under several structural state conditions. Tests were performed with varying stiffness and mass conditions with the assumption that these sources of variability are representative of changing operational and environmental conditions. Damage is simulated through nonlinear effects introduced by a bumper mechanism that induces a repetitive, impact-type nonlinearity. This mechanism intends to simulate the cracks that open and close under dynamic loads or loose connections that rattle. The unique contribution of this study is a direct comparison of the four proposed machine learning algorithms that have been reported as reliable approaches to separate structural conditions with changes resulting from damage from changes caused by operational and environmental variations.
Energy management in real-time multi-tier internet services

Energy management only recently emerged as a major consideration in the design of high-performance Internet services. As a result of requirements for continual performance scaling, the energy required to provide these services also massively increased—an unfortunate corollary of Moore's Law. At the same time, the high scalability of Internet services is commonly achieved by employing multi-tier (functionally distributed) clustered architectures. At high-demand sites, the number of server computers in such clusters can be very large (on the order of thousands or above). Due to the high overall power consumption and related heat dissipation that these server farms exhibit, severe operational challenges arise such as high energy costs, high cooling costs (operation and maintenance), costly infrastructure requirements (such as sophisticated power-delivery and cooling systems), increased space demands (server unit density is limited by heat dissipation), and decreased system reliability (heat-related failures). These increased operational costs constitute a significant part of total upkeep and maintenance expenses of large sites. Advances in networking technology have and will continue to cause demand and reliance on Internet-based services to accelerate, exacerbating the above-mentioned issues. By 2002, researchers already identified that there is significant potential for reducing energy use in Web servers. Because of observed daily and weekly demand fluctuations due to the natural cycle of human activity levels, Internet server workloads tend to show extended periods of low-load or even near-idle operation. Furthermore, newer server-class hardware started to adopt power saving modes previously only supported on mobile systems, which allows judicious reduction of server capacity (and the corresponding energy use) during those off-peak load conditions. Since then, several techniques appeared to manage power dissipation of individual machines. However, since most techniques incur some performance penalty, minimizing the global energy expenditure of a cluster with minimal effect on its performance remains a challenge. This dissertation presents the theoretical analysis of several aspects of this energy minimization problem, starting out with a basic multi-tier server model, which is then extended to deal with multiple priorities and reconfigurable clusters; it discusses the optimization of spare capacity in such clusters when multiple machine sleep states are available; and finally, it analyzes how external disturbances, such as those triggering dynamic thermal management actions, affect the performance of cluster power management algorithms.
A co-ordinated dispatch model for electricity and heat in a Microgrid via particle swarm optimization

This paper develops a co-ordinated electricity and heat dispatching model for a Microgrid under a day-ahead environment. In addition to operational constraints, network loss and physical limits are addressed in this model, which were always ignored in previous work. As an important component of the Microgrid, a detailed combined heat and power (CHP) model is developed. The part load performance of CHP is modelled by a curve fitting method. Furthermore, an electric heater is introduced into the model to improve the economy of the Microgrid operation and enhance the flexibility of the Microgrid by electricity–heat conversion. Particle swarm optimization is employed to solve this model for the operation schedule to minimize the total operational cost of the Microgrid by co-ordinating the CHP, electric heater, boiler and heat storage. The efficacy of the model and methodology is verified with different operation scenarios.