Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective Capacity Planning of the Virtual Environment using Enterprise Architecture

ii Acknowledgments. iv Vita . v List of Tables . ix List of Figures . x Chapter 1: Introduction . 1 1.1 Innovation. 2 1.2 Hypothesis . 2 1.3 Motivation . 2 1.4 Research Contributions . 3 1.5 Thesis Outline . 4 Chapter 2: Enterprise Architecture . 5 2.1 What is Enterprise Architecture? 5 2.2 Domains of Enterprise Architecture . 6 2.3 Outcome of a good EA practice . 7 2.4 Nationwide's Enterprise Architecture Content Metamodel . 9 vii Chapter 3: Capacity Planning . 14 3.1 What is Capacity Planning? 14 3.2 Why is it important? 15 3.3 How Capacity planning can help achieve EA goals . 16 Chapter 4: Related Work . 18 Chapter 5: Case Study Nationwide . 23 5.1 Enterprise Architecture AS-IS Scenario . 23 5.2 Elements missing from Enterprise Architecture . 29 5.3 Capacity Planning AS-IS Scenario . 31 5.4 Problem of Over-provisioning . 32 Chapter 6: Research and Contributions . 34 6.1 Problem Analysis . 34 6.2 Goals and Methodology . 35 6.3 System Architecture . 36 6.4 Parameters required for effective Capacity Planning . 38 6.5 Algorithm for Capacity Planning . 40 6.6 Challenges . 43 6.7 Data Collection . 43 6.8 Results and Validation . 46 viii Chapter 7: Business Value . 50 7.1 Service Blueprint . 50 7.2 Benefits to the Java Hosting team . 52 7.3 Business value at each level in the Enterprise Architecture. 53 Chapter 8: Conclusion and Future Work . 55 References . 56 APPENDIX A: Details of the algorithm . 58 APPENDIX B: Java Implementation. 61
On the Dominant Noise Components of Tactical Aircraft: Laboratory to Full Scale

Abstract This paper investigates the dominant noise components of a full-scale high performance tactical aircraft. The present study uses acoustic measurements of the exhaust jet from a single General Electric F414-400 turbofan engine installed in a Boeing F/A-18E Super Hornet aircraft operating from flight idle to maximum afterburner. The full-scale measurements are to the ANSI S12.75–2012 standard employing about 200 microphones. By comparing measured noise spectra with those from hot supersonic jets observed in the laboratory, the dominant noise components specific to the F/A-18E aircraft at different operating power levels are identified. At intermediate power, it is found that the dominant noise components of an F/A-18E aircraft are essentially the same as those of high temperature supersonic laboratory jets. However, at military and afterburner powers, there are new dominant noise components. Their characteristics are then documented and analyzed. This is followed by an investigation of their origin and noise generation mechanisms.
Time Course of Changes in the Neurovascular Unit after Hypoxic-Ischemic Injury in Neonatal Rats

Exposure to hypoxic-ischemic (HI) insults in newborns can predispose them to severe neurological sequela. The mechanisms underlying HI-related brain injury have not been completely elucidated. The neurovascular unit (NVU) is a composite of structures that protect the brain from the influx of detrimental molecules. Changes in the NVU after HI are important because they could reveal endogenous neuroprotective pathways in the cerebral microvasculature. Furthermore, the time course of changes in the NVU after exposure to HI in the newborn remains to be determined. In this study, we examined the effects of severe HI on the time course of changes in the NVU in neonatal rats. Brains were collected from rats exposed to right carotid artery ligation and 2 h of hypoxia on postnatal day 7 with recovery for 6 or 48 h after exposure to sham treatment (Sham) or HI. The right HI and left hypoxic alone sides of the brains were examined by quantitative immunohistochemistry for vascular density (laminin), pericyte vascular coverage (PDGFRβ), astrocyte vascular coverage (GFAP), and claudin-5 expression in the microvasculature of the cerebral cortex, white matter, and hippocampus. HI-related brain injury in neonatal rats was associated with increases in vascular density in the cortex and hippocampus 48 h after HI as well as neurovascular remodeling, including loss of pericyte coverage in the cortex and increases in claudin-5 in the hippocampus 6 h after HI. Astrocyte coverage was not affected by HI injury. The time course of the responses in the different components of the NVU varied after exposure to HI. There were also differential regional responses in the elements of the NVU in response to HI and hypoxia alone.
Pengembangan Sistem Informasi Surveilans Tb Berbasis Komputer Untuk Mendukung Evaluasi Hasil Kegiatan Program Penanggulangan TB (P2TB)

Abstract: Activities of TB surveillance at Sukoharjo District Health Office only resulted three indicators of P2TB although the sources of the TB data had been available completely. This condition caused the problems for Head of the Distric Health Office to know coverage of services, to extend coverage of program, and to know the result of treatment. Therefore, It needs the information system that could overcome the problems. The aim of research is the develop information system of TB surveillance to support the evaluating of P2TB. This was an applied research using a qualitative method and applying the plan of system by steps of FAST (Framework for the Application of System Techniques). Research design was Pre-Experimental using The Group Pretest-Posttest. The Subjects were Head of the District helth Office, Head of Sub department of Prevention and Eradication. The Objects were the procedure and the structure of information system of TB surveillance. Data analysis divided into two methods as follows: Content Analysis was used for in-depth interview data and Descriptive Analysis was used for evaluating the old and the new system. The result of the research shows that information system development of TB surveillance has to be done based on the aspects of a technique, an operation, a schedule, and an economic. The problems in the old system were simplicity, accurateness, and representative. Those problems were caused by input on the system (redundancy data, and file saved separately), process (indicator had not been calculated by Management System of data Basis ), and output (displayed in table, the reports did not adjust a necessity on the management level). The new system could overcome the old system’s problems and weaknesses. It could be used to support the evaluation of P2TB. The total considered average in the old system was 2,29 and the total considered average in the new system is 4,27. The new system could result seven indicators of P2TB, which could be used for a basic of evaluating of program. Therefore, head of the District health Office could make a policy with using the new system. The weaknesses of the new system are as follows: It could not be used for the Health center level, and could not result information about monitoring of drinking a mediine. Key Words : Information System,TB Surveillance
Decentralized robust active disturbance rejection control of modular robot manipulators: an experimental investigation with emotional pHRI

This paper presents an active disturbance rejection control (ADRC) method for modular robot manipulators (MRMs) based on extended state observer (ESO), which solves the problem of trajectory tracking when modular robot manipulators facing the emotional physical human-robot interaction (pHRI). The dynamic model of MRMs is formulated via joint torque feedback (JTF) technique that is deployed for each joint module to design the model compensation controller. ESO is used to estimate the interconnected dynamic coupling (IDC) term and the interference term caused by emotional pHRI. An uncertainty decomposition-based robust control is developed to compensate the friction term. The terminal sliding mode control (TSMC) algorithm is introduced to the controller to provide faster convergence and higher precision control effect. Based on the Lyapunov theory, the tracking error is proved to be ultimately uniformly bounded (UUB). Finally, experiments demonstrate advantages of the proposed method.
Modulatory potential of Tamarindus indica seed coat on oestrogen and progestone secretion in MCF-7 cell lines

According to epidemiological research, the consumption of phytoestrogen rich foods has been shown to reduce the development of hormone dependent breast cancer Phytoestrogens improved the efficacy of ongoing chemotherapy Recent research indicates that polyphenols found in the tamarind seed coat have anti-inflammatory hepatoprotective antibacterial and antioxidant activities The current study was undertaken to evaluate the modulatory potential of methanolic extract of seed coat of T. indica on oestrogen and progesterone production in (MCF-7), cancer cell line T. indica seeds were procured locally shade dried and the seed coat was removed and extracted with methanol followed by concentration of the extract using a rotary vacuum evaporator The qualitative phytochemical analysis of seed coat extract was performed The cytotoxicity of T. indica seed coat was assessed in (MCF-7), cells using (MTT), assay and the (IC50), was determined The presence of alkaloids flavonoids steroids phenolic compounds diterpenes saponins glycosides and tannins were discovered by qualitative phytochemical analysis T. indica seed coat decreased cell viability in a dose dependent manner with an (IC50), value of (16µg/mL), There was dose dependent decrease in oestrogen concentration, whereas the progesterone concentration was found to be increased after 96hrs of treatment with the extract From the study it could be concluded that methanolic extract of T. indica showed cytotoxicity in vitro against (MCF-7), cell lines and it positively modulated progesterone secretion and negatively modulated oestrogen concentration in a time dependent fashion in (MCF-7), cell lines Present in vitro study shows that methanolic extract seed coat of T. indica may have promising role in breast cancer prevention hence it can be used to develop novel compounds against hormone dependent breast cancer.
Conversational Speech and Language Skills of Children Born Preterm and Full Term

Preschoolers born preterm are at an increased risk for adverse neurodevelopmental outcomes; however, the impact of preterm birth on speech development has not been fully investigated. The primary objective of this study was to document the conversational speech production abilities of preschoolers born preterm via speech sample analysis. A secondary objective was to investigate the association between speech and language skills in this population. The speech production abilities of children born preterm (n = 29) and full term (n = 22) were assessed using whole-word measures of phonological complexity and accuracy. No significant differences were found between the preterm and full-term groups on any of the speech variables. One of the speech variables, pMLU, was significantly correlated with several variables assessing language skills in the preterm group. Comprehensive communication evaluations, which may include the use of speech sample analysis, remain an important component of the follow-up care of children born preterm.
Attenuation of Oxidative Stress and Cognitive Impairment in Cadmium Exposed Wistar Rats Pretreated with Ethanolic Turmeric Root Extract

Background: Turmeric (Curcuma longa), belonging to the Zingiberaceae family is a widely used spice in cuisines of African Asian and other countries globally Despite the enormous pharmacological benefits of turmeric there is very little experimental evidence to demonstrate its protective activity against cadmium-induced neurotoxicity Accordingly this study is aimed at investigating such activity in Wistar rats and its possible mechanisms of action. Methods: Y-maze and Novel object recognition tests were utilized to evaluate memory impairments while antioxidants activity and lipid peroxidation were evaluated to outline the antioxidant mechanism of action following pre-treatment of rats with ethanolic turmeric root extract (400 mg/kg body weight), 1 hour before cadmium administration for 21 consecutive days In addition, the histology of the cerebrum and hippocampus was investigated to determine possible anatomical alterations across experimental groups. Results: The ethanolic extract of turmeric root at the dose of (400mg/kg), significantly improved the memory of rats and protected against the impairments induced by cadmium in addition the extract significantly increased cerebral and hippocampal antioxidant enzyme activities (SOD, GPx and CAT), decreased lipid peroxidation (MDA), and protected against the degenerative changes observed in the cerebrum and hippocampus of rats treated with cadmium alone. Conclusion: Taken together these findings suggest that the ethanolic extract of turmeric root protected against the cognitive impairments induced by cadmium possibly through the attenuation of the oxidative damaging activity of cadmium.
Pattern Effect Mitigation Techniques for All-Optical Wavelength Converters Based on Semiconductor Optical Amplifiers

All-optical wavelength converters (AOWC) are considered key to overcome wavelength blocking issues in next generation transparent networks. The focus of this book is on semiconductor optical amplifiers (SOA), a mature nonlinear element with very favorable nonlinear characteristics, and on a discussion of various filter configurations as well as on their adaptations for providing optimum performance matched to the nonlinear element working in high-speed all-optical wavelength converters.
Updated ME/CFS prevalence estimates reflecting post-COVID increases and associated economic costs and funding implications

ABSTRACT In this article, we update our earlier analyses of myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS) economic impact and its National Institutes of Health (NIH) funding versus disease burden, taking into account the anticipated new cases of ME/CFS resulting from COVID-19. Prior to the COVID pandemic, we estimated a United States ME/CFS prevalence of 1.5 million and an annual economic impact of $36–51 billion. Now, due to COVID and its resulting post-acute sequalae, we estimate total ME/CFS prevalence could rise to between five and nine million. This would incur an annual U.S. economic impact of $149 to $362 billion in medical expenses and lost income, exclusive of other costs, such as disability benefits, social services, and lost wages of caretakers. NIH funding for ME/CFS research would need to expand from the current amount of $15 million per year to approximately $472–$600 million annually, up to a 40-fold increase, to be commensurate with that of similarly burdensome diseases.
An Effective Method to Identify Microarchitectural Vulnerabilities in GPUs

Graphics Processing Units (GPUs) are increasingly adopted in several domains where reliability is fundamental, such as self-driving cars and autonomous systems. Unfortunately, GPU devices have been shown to have a high error rate, while the constraints imposed by real-time safety-critical applications make traditional (and costly) replication-based hardening solutions inadequate. This work proposes an effective methodology to identify the architectural vulnerable sites in GPUs modules, i.e., the locations that, if corrupted, most affect the correct instructions execution. We first identify, through an innovative method based on Register-Transfer Level (RTL) fault injection experiments, the architectural vulnerabilities of a GPU model. Then, we mitigate the fault impact via selective hardening applied to the flip-flops that have been identified as critical. We evaluate three hardening strategies: Triple Modular Redundancy (TMR), Triple Modular Redundancy against SETs ( $\Delta $ TMR), and Dual Interlocked Storage Cells (Dice flip-flops). The results gathered on a publicly available GPU Model (FlexGripPlus) considering functional units, pipeline registers, and warp scheduler controller show that our method can tolerate from 85% to 99% of faults in the pipeline registers, from 50% to 100% of faults in the functional units and up to 10% of faults in the warp scheduler, with a reduced hardware overhead (in the range of 58% to 94% when compared with traditional TMR). Finally, we adapt the methodology to perform a complementary evaluation targeting permanent faults and identify critical sites prone to propagate fault effects across the GPU. We found that a considerable percentage (65% to 98%) of flip-flops that are critical for transient faults are also critical for permanent faults.
Method of calculating solar heat transmitted through shaded windows for OTTV in consideration of diffuse radiation diminished

ABSTRACT The energy used in the buildings in subtropical and tropical countries is mainly for the cooling load requirements for air conditioning in summer, which is evaluated by OTTV value. To ensure a satisfactory OTTV value, the top priority of building envelope designing is reasonable WWR with appropriate sun shading devices to reduce the heat penetrated through window glass into the buildings. Therefore, the accurate calculation of solar radiation through window glass with shading devices is very important. The research aims to calibrate the reduced solar radiation coefficient of the shading device (β) from the original method, thereby completing the OTTV evaluation method with high accuracy. The calculation is based on the sunlight projection to determine the window’s shaded area created by shading devices of any shapes with consideration of diffuse radiation diminished. The results of β calculated showed that in tropical climate, the total solar radiation on the window glass is much lower than the previous method. A computer software built from the proposed theory helps the designer easily choose the optimal sun shading solutions. The research conducts the calculation as an example for horizontal-inclined and the combined of horizontal and left/right vertical shading devices.
The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences

Scientific conferences are essential for developing active research communities, promoting the cross-pollination of ideas and technologies, bridging between academia and industry, and disseminating new findings. Analyzing and monitoring scientific conferences is thus crucial for all users who need to take informed decisions in this space. However, scholarly search engines and bibliometric applications only provide a limited set of analytics for assessing research conferences, preventing us from performing a comprehensive analysis of these events. In this paper, we introduce the AIDA Dashboard, a novel web application, developed in collaboration with Springer Nature, for analyzing and comparing scientific conferences. This tool introduces three major new features: 1) it enables users to easily compare conferences within specific fields (e.g., Digital Libraries) and time-frames (e.g., the last five years), 2) it characterises conferences according to a 14K research topics from the Computer Science Ontology (CSO), and 3) it provides several functionalities for assessing the involvement of commercial organizations, including the ability to characterize industrial contributions according to 66 industrial sectors (e.g., automotive, financial, energy, electronics) from the Industrial Sectors Ontology (INDUSO). We evaluated the AIDA Dashboard by performing both a quantitative evaluation and a user study, obtaining excellent results in terms of quality of the analytics and usability.
Fysisk aktivitet og helsekompetanse for personer med familiære torakale aortaaneurismer og -disseksjoner

Bakgrunn: De este med familiære torakale aortaaneurismer og aortadisseksjoner (FTAAD) får råd om fysiske restriksjoner. Begrunnelsen er at økt blodtrykk kan gi høyere risiko for akutt aortadisseksjon på grunn av svekket bindevev i åreveggene. Å leve med en potensielt livstruende sykdom som FTAAD kan for mange være angstfylt og utfordrende. Fysisk aktivitet og helsekompetanse for personer med familiære torakale aortaaneurismer og disseksjoner
Post-Operative Sensitivity and Color Change Due to In-Office Bleaching With the Prior Use of Different Desensitizing Agents: A Systematic Review

Bleaching agents can cause certain surface alterations on the enamel, such as depressions, surface porosity, and surface irregularities; this makes the dentin more susceptible to post-operative tooth sensitivity (PoS). In addition, the presence of flawed or leaky restorations, gingival recession, or defects in the cementoenamel junction can also cause severe tooth sensitivity post tooth bleaching.Hence, the current study aimed to perform a systematic review to determine the efficacy of various desensitizing agents (DA) in managing post-operative tooth sensitivity and color alteration when applied before in-office bleaching procedures. Randomized clinical trials were searched to conduct an SR where the post-operative tooth sensitivity was evaluated after in-office bleaching with various desensitizing agents used before the procedure. Post-operative pain assessment was measured using the Visual Analogue Scale (VAS). Outcomes were evaluated up to an hour and 24 hours post the procedure. Out of 163 articles, only 13 titles were selected that met the eligibility criteria. Eight hundred and forty-one adult patients with vital pulp status were included. The participants receiving prior desensitizing agent applications reported significantly lower pain scores in the VAS reports. The most significant reduction of post-operative sensitivity was observed in the immediate (up to an hour) and 24 hours after the in-office bleaching. The popular desensitizing agent that could manage post-operative tooth sensitivity (TS) is 5% potassium nitrate and 2% sodium fluoride used before the in-office bleaching procedure.
Emerging topic identification from app reviews via adaptive online biterm topic modeling

Emerging topics in app reviews highlight the topics (e.g., software bugs) with which users are concerned during certain periods. Identifying emerging topics accurately, and in a timely manner, could help developers more effectively update apps. Methods for identifying emerging topics in app reviews based on topic models or clustering methods have been proposed in the literature. However, the accuracy of emerging topic identification is reduced because reviews are short in length and offer limited information. To solve this problem, an improved emerging topic identification (IETI) approach is proposed in this work. Specifically, we adopt natural language processing techniques to reduce noisy data, and identify emerging topics in app reviews using the adaptive online biterm topic model. Then we interpret the implicature of emerging topics through relevant phrases and sentences. We adopt the official app changelogs as ground truth, and evaluate IETI in six common apps. The experimental results indicate that IETI is more accurate than the baseline in identifying emerging topics, with improvements in the F1 score of 0.126 for phrase labels and 0.061 for sentence labels. Finally, we release the codes of IETI on Github (https://github.com/wanizhou/IETI).