Miracle-dz/UniFAR-FTUs huggingface dataset:
RF MEMS Based Tunable Bandpass Filter For X-Band Applications

In this paper, we present the design and simulation of RF MEMS based Tunable combline band pass filters for X-band applications at different substrate thicknesses and studied the effect of thickness on tuning. The proposed filters are designed on high resistive silicon substrate of 500µm and 300 thicknesses. The tunability is achieved by using MEMS based varacter replaced with fix capacitor in conventional combline filter. First, the microstrip combline filter is designed at the centre frequency of 9.5 GHz and then tuning is achieved by varying the capacitance in the designed combline filters. The electromagnetic simulation has been carried out using HFSS v15 software based on finite element method (FEM). The tuning of the filter on silicon substrate of 500 μm is achieved by changing the capacitance value from 0.2035 pF to 0.4035 pF in the model in HFSS, which resulted the tuning in the frequency range of 7.85 to 10.35GHz. Insertion loss of design filter is in the range of 1dB within the tuning range. In case of substrate thickness 300 μm the tuning of the filter is achieved by changing the capacitance value from 0.293 pF to 0.403 pF in the model in HFSS, which resulted the tuning in the frequency range of 8.80 to 9.90 GHz. Insertion loss of design filter is in the range of ∼1.2dB within the tuning range.
The Design of a Formal System of Science: A Compelling Foundation for Physics

A formal system of science is presented as a candidate for a more powerful foundation of physics. Rather than starting with an axiomatic theory of physics as is typically done (quantum mechanics, general relativity, classical mechanics, etc), we instead had the idea to start at the level of science by designing a formal system of science. Our goal was then to attempt, as a challenge, to derive the laws of physics as a theorem of the scientific method. This allowed us to definite previously elusive notions and tackle unresolved problems. Some of our notable results include a definition of experimental data (done purely mathematically), a definition of the observer (again done purely mathematically), and a derivation of the laws of physics as the product of the scientific method (and thus, we allege, done uncontroversially). This group of results constitutes the primary items of modern theoretical physics currently missing mathematical formalisation. The first part of the paper consists of constructing an experimental basis for pure mathematics. For this we employ halting programs. Since halting programs are arbitrarily complex and subject to the halting problem, we leverage modern notions of mathematical incompleteness to create a formulation of mathematics conductive to experimental methods in which one must conduct halting experiments to make progress. In this setup, the observer is defined as a measure space over the domain of science and maximizing the entropy of the measure produces a quantum-computation superset of quantum physics that supports quantum gravity. Finally, applications of the system to fundamental open problems of physics as well as testable predictions are proposed.
Identifying the determinants of Cloud Computing Adoption in a Government Sector – A Case Study of Saudi Organisation

The adoption of Cloud Computing technology is an essential step forward within both the public and private sectors, particularly in the context of the current economic crisis. However, the trend is struggling for many reasons. The purpose of this study is to establish the foundations for the development of a framework to guide government organisations through the process of transferring to Cloud Computing technology. The main aim of this research is to evaluate the factors affecting the adoption of Cloud Computing in the government sector by conducting a multiple case study of Saudi government organisations, and to develop a Cloud Computing adoption framework. Investigating and identifying the main factors affecting the adoption of Cloud Computing is done by examining the literature and by conducting a mixed-method investigation. The most significant concerns are Service Quality, Usefulness, Security, Complexity, Cost, Organisation Size, IT Infrastructure Readiness, Senior Management Support, Feasibility, Trust, Organisation Culture, Organisation Structure, Privacy Risk, Direct Benefits, Indirect Benefits, Culture, External Pressure, Industry Type, Government Support, and Regulatory Concerns. This study will apply the TOE (Technology-Organisation-Environment) framework and the Iacovou model to obtain improved knowledge, to better determine the most suitable Cloud Computing adoption factors. These models form the conceptual framework for this study. Two phases are performed in order to collect the required data: firstly, a questionnaire-based survey; secondly, interview-based case studies approach. The data and hypothesis are analysed and tested using descriptive statistics, AHP, multi-regression and Pearson Correlation. SPSS is used to analyse the collected data and all statistics and figures are extracted from this software. The initial results show some of the main factors that could affect the adoption of Cloud Computing, and show the relationship between the dependent and independent variables which indicate the positive and negative impact.
Desmoglein 3 Amino-Terminal Adhesive Interface of Mouse Monoclonal Antibody Against the Induction of Pemphigus Phenotype by a

Pemphigus vulgaris (PV) is a life-threatening autoimmune blistering disease that is caused by IgG autoantibodies against the cadherin-type adhesion molecule desmoglein (Dsg)3. Previously, we have generated an active mouse model for PV by adoptive transfer of Dsg3 (cid:1) / (cid:1) splenocytes. In this study, we isolated eight AK series, anti-Dsg3 IgG mAbs from the PV mouse model, and examined their pathogenic activities in induction of blister formation. Intraperitoneal inoculation of the AK23 hybridoma, but not the other AK hybridomas, induced the virtually identical phenotype to that of PV model mice or Dsg3 (cid:1) / (cid:1) mice with typical histology of PV. Epitope mapping with domain-swapped and point-mutated Dsg1/Dsg3 molecules revealed that AK23 recognized a calcium-dependent conformational epitope on Dsg3, which consisted of the V3, K7, P8, and D59 Dsg3-speciﬁc residues that formed the adhesive interface between juxtaposed Dsg, as predicted by the crystal structure. The epitopes of the mAbs that failed to show apparent pathogenic activity were mapped in the middle to carboxyl-terminal extracellular region of Dsg3, where no direct intermolecular interaction was predicted. These ﬁndings demonstrate the pathogenic heterogeneity among anti-Dsg3 IgG Abs due to their epitopes, and suggest the direct inhibition of adhesive interaction of Dsg as an initial molecular event of blister formation in pemphigus. The Journal of Immunology, 2003, 170: 2170–2178.
A Four-Group Urine Risk Classifier for Predicting Outcome in Prostate Cancer Patients

350 words Importance: There is considerable variability in clinical outcome of prostate cancer (PCa) patients. Accurately predicting those patients that require timely intervention and which require less frequent monitoring will impact large numbers of men. Objective: To determine whether urine-derived extracellular vesicle RNA (UEV-RNA) can be used to provide diagnostic information of disease status prior to biopsy, and prognostic information for men on AS. Design: Post-digital rectal examination UEV-RNA expression profiles (n = 537) were interrogated by a tailored 167 gene-probe NanoString panel. A LASSO Continuation Ratio model was built on a training set (n = 359) to generate four Prostate Urine Risk (PUR) signatures for predicting the probability of normal tissue (PUR-1), D’Amico Low-risk (PUR-2), Intermediate-risk (PUR-3), and High-risk (PUR-4) disease. This model was applied to a test cohort (n = 178) for diagnostic evaluation, and to an AS cohort for prognostic evaluation. Setting: Multicentre study collecting urine from urology clinics in the UK, Ireland and USA between 2009-2015. Participants: Men with no evidence of cancer (n = 92) and with cancer (n = 445) on TRUS-biopsy with PSA <100 ng/mL. Main Outcomes and Measures: Area under the curve, decision curve analysis and survival analyses were used to assess the diagnostic and prognostic utilities of the PUR signatures. Bootstrap analysis was used to test robustness. Results: Each PUR signature is significantly associated with its corresponding clinical category (p < 0.001). PUR-4 status predicted the presence of clinically significant Intermediate or Highrisk disease with AUC’s of 0.814 (training) and 0.773 (test). Application of PUR provides a net benefit over current clinical practice. In an AS sub-cohort (n = 87), groups defined by PUR status and proportion of PUR-4 (p < 0.001; IQR HR = 2.857 (95% CI: 1.828–4.465)) had a significant association with time to progression. Dichotomising proportion of PUR-4 defined two patient groups with progression rates of 10% and 60% five years post-urine collection (p < 0.001, HR = 8.230 (95% CI: 3.255 – 20.810)). Conclusions and Relevance: UEV-RNA can provide diagnostic information of aggressive PCa prior to biopsy, and prognostic information for men on AS. PUR represents a unique versatile biomarker that could result in substantial alterations to current treatment of PCa patients.
Secure Authorized Deduplication in Hybrid Cloud

: Many techniques being used for eliminating duplicate copies of repeating data, among this techniques one of the important data compression technique is data deduplication. Deduplication is widely used in cloud storage to save bandwidth and to reduce the amount of storage space. To protect the confidentiality of data along with deduplication convergent encryption technique is used before outsourcing. Problem of authorized data duplication formally addressed by the first attempt of this paper for better protection. This proposed system is different from the traditional duplication systems. For raised knowledge security this paper also present several new deduplication constructions supporting authorized duplicate check in hybrid cloud architecture. My goal is to implement a paradigm of the planned licensed duplicate check theme and conduct a test bed experiment using this paradigm. In this paper I have analysed the existing hybrid cloud deduplication system.
EVALUATION OF SUB-CHRONIC TOXICITY, ANTI-INFLAMMATORY AND DIURETIC EFFECT OF ETHANOL LEAVES EXTRACT FICUS CAPENSIS IN ALBINO RAT

Ficus capensis is highly medicinal in nature and has been reported to possess pharmacological properties. Ethanol leaves of extract of F. capensis were evaluated for its sub-chronic impact on the hepatic biomarkers as well as anti-inflammatory and diuretic activity in male albino rat. Fifty four albino rats were randomly divided into six treatment groups of nine rats per group. Group A - received normal saline (normal control), Group B - received either 40 mg/kg of Furosemide (control for diuretic) or 50 mg/kg of Aspirin (control for anti-inflammatory), Group C - received 200 mg/kg F. capensis extract, Group D - received 400 mg/kg F. capensis extract, Group E - received 600 mg/kg F. capensis extract and Group F received 800 mg/kg F. capensis extract. The anti-inflammatory effect assessed using carrageen induced paw edema in rat was significantly affected by the extracts. The diuretic activity of the extract screened by quantification of urine volume and electrolyte concentration was significantly affected. The extract of F. capensis showed significant (p<0.05) increase in serum activity of aspartate alkaline phosphatase (ALP), total and conjugate bilirubin in the 600 and 800 mg/kg extract treated groups on week 3 when compared to the normal control. The result suggested that ethanol leaves extract of F. capensis could be non-toxic to the liver at the doses of 200 and 400 mg/kg and has potential anti-inflammatory and diuretic properties, hence could be utilized at moderate doses in the treatment of inflammation and diuretic related health complications.
LONG-TERM CONSEQUENCE OF REFRACTORY STATUS EPILEPTICUS IN ADULTS: A RETROSPECTIVE POPULATION-BASED STUDY

: RSE (Refractory Status Epilepticus) is basically a neurological emergency with substantial mortality and morbidity. We intended to assess the long-term results of ICU (intensive care unit) preserved both RSE and SRSE (Super-refractory status epilepticus) patients in a population-based group. A reflective study of ICU and RSE patients with anesthesia-treatment in hospitals has been controlled in the period of Jan. 2010 to Dec. 2012. With huge population coverage, five hospitals were included in our study and we comprise all sequential adult RSE (from sixteen years or older) patients, which admitted in partaking Intensive Care Units in the period of three years but omitted postanoxic etiologies ’ patients. We consumed an mRS (modified Rankin Scale) with one-year measurement of results into two categories: good (mRS 0-3, baseline function recovery) or poor (mRS 4-6, death or major functional discrepancy). Our study found 75 ICU and RSE patients, with anesthesia-treatment, consistent with the yearly incidence of 3.0 (with 95% CI (confidence interval) (2.4-3.8). SRSE classified patients were 21%, with yearly incidence being 0.6/100000 (95% confidence interval (0.4-1.0). Accordingly, for RSE, the mortality of ICU was 0%, the mortality of hospital was 7% (95% confidence interval 1.2%-12.8%) (n=5), and 12 months mortality was 23% (95% confidence interval 13.4%-32.5%) (n=17). RSE recovered to baseline patients 48% (n=36), and 29% (n=22) represented neurological discrepancy in one year. (mRS 4-6) or poor outcome was founded for 52% (n=39). In the period of one year follow up, RSE, ICE treated 50% patients have been improved to baseline function, while new functional defects were 30% and died 20%. SRSE does not seem poorer result but the result is poorer in older patients along with those patients who have fatal etiologies. SE must be considered with generalized anesthesia on in the cases of refractory.
A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer

ABSTRACT Objectives: Understanding movements and mechanical demands of elite soccer players during training and competitive stressors is important for the support provision of player performance. Continued appreciation to quantify and monitor training load (TL) is apparent, however reporting multi-modal approaches in-line with competitive match-play demands remain limited. The investigation aimed to highlight a multimodal training monitoring method and its relationship to match-play. Subjects: 29 elite European soccer players participated were assessed (26.7 ± 4.07 years, height 183.4 ± 5.87 cm, body mass 78.4 ± 8.03 kg, 57.55 ± 5.32 ml.kg-1.min-1 and body composition 54.12 ± 13.65 mm) with daily TL and competitive match-load data in order to quantify the relationship between both. Methods: Key match-day (MD) data and TL was analysed across a 20-week in-season period. Results: Results reported significant TL differences between training days (TDs) and TDs and competitive MD data, in addition to significant differences between TDs for both volume- and intensity- session scores (p < 0.05). No differences were found between MD-1 and MD-2 session scores. Conclusion: To specific specific multi-modal approach used allows practitioners to combine key mechanical volume and intensity metrics as part of an athlete or player monitoring strategy and ensure a greater focus on targeted physical stressors.
Growth models for multiproduct interactions : current status and new directions

In this chapter, we explore the issues associated with the market dynamics of multiple, interacting product categories. First, the literature related to the multi-product growth models is reviewed. Next, we propose an expanded conceptual framework that identifies a more complete range of possible interactions among multiple products. We then offer a more general model structure based on the aggregate-level dynamic models used by ecologists, sociologists, and technology researchers to study interactions among several competing population species. Finally, we outline some promising are for future research.
Validity of Self-Reported High Blood Pressure among Black and White Seventh-Day Adventists

Background : Self-reported diagnosis of high blood pressure is frequently used to study representative samples of a population. Objective : Using a cross-sectional design, we examined the relationship between self-reported high blood pressure and clinical evidence for the disease, such as use of antihypertensive medications. Methods : A community-based sample of older Seventh-day Adventist adults aged 50 years and older ( n = 457) was recruited from a prospective cohort study. Confirmed high blood pressure was defined as using an antihypertensive medication, having a systolic blood pressure ≥ 140 mmHg, or a diastolic blood pressure ≥ 90 mmHg. Results : There were 236 (52.0%) out of 457 participants with self-reported high blood pressure. Blacks ( n = 118, 64.8%) reported higher rates of high blood pressure compared to Whites ( n = 118, 42.9%). Based on the diagnostic criteria 13.6% ( n = 62) were undiagnosed with high blood pressure. Blacks (49.7%) were more likely to report a true positive diagnosis and Whites (50.2%) were more likely to report a true negative diagnosis of high blood pressure. Sensitivity was 72% and specificity 80%. Sensitivity was significantly higher for Blacks (80%) than for Whites (62%). Agreement between self-report and diagnostic criteria for high blood pressure was substantial (kappa 0.68) across all participants. Conclusions : Our findings add to the evidence that self-report is usually a valid method for assessing high blood pressure, at least for studies with large sample sizes. The greater sensitivity rate for Blacks than Whites suggests that self-report of high blood pressure is more accurate for Blacks.
Cross-resistance studies in cotton aphid, 'Aphis gossypii' Glover from Australian cotton

A number of insecticides were investigated for cross-resistance patterns using reference susceptible and resistant cotton aphid populations and standard bioassay methods. The highest levels of cross-resistance (>1500x at LC50) were detected to pirimicarb in omethoate-. and omethoate/bifenthrin resistant populations. Cross-resistance between the organophosphates and carbamates has caused these two groups to be considered the same for the purpose of resistance management. To reduce the likelihood of difficult to control resistant populations we suggest that omethoate, dimethoate or pirimicarb use be avoided and pirimicarb used only in conjunction with Integrated Pest Management. Further study is required to determine if the carbamates aldicarb and carbosulfan should be treated separately from pirimicarb.
Analysis of the External and Internal Load in 4vs4 Large Sided Games: Differences between Fields of Different Sizes

This study aims to describe and analyse the internal and external load deriving from LSG exercises carried out on two fields, defined as SLSG and BLSG, in the 4vs4 format, with goalkeepers. 22 professional soccer players participated (average age: 23.59±4.87 years, weight: 77.8±7.6 kg; height: 183.5±7.5 cm) including 20 forward players and 2 goalkeepers; the goalkeepers were not considered in the data collection of the external and internal load. The LSG 4vs4 + 2 goalkeepers exercises were carried out on a natural grass playing field. The exercises were performed on a field 55x49m (269.5 m 2 per player) defined as "small" (SLSG) and on a field 60 x 54 meters (324 m 2 per player) defined as "big" (BLSG). The results of the internal load analysis show how the BLSG provides higher and more significant HR values than those emerged during the SLSG exercise. Instead, the analysis of the external load related to the observed and described parameters shows that the values emerged from the exercise carried out on the BLSG are higher, except for the distance travelled by walking (<7.30 km/h), in which the SLSG exercise provided higher values, although not relevant statistically. No significant data emerge from the statistical analysis in all the observed parameters. This is the first study that analyses the 4vs4 format in an LSG exercise. The results of this study show that large sided games prove to be very valid exercises if the goal is to modulate the intensity of the game related to what really happens during the match.
Domain Knowledge Acquisition via Language Grounding

This thesis addresses the language grounding problem at the level of word relation extraction. We propose methods to acquire knowledge represented in the form of relations and utilize them in two domain applications, high-level planning in a complex virtual world and input parser generation from input format specifications. In the first application, we propose a reinforcement learning framework to jointly learn to predict precondition relations from text and to perform high-level planning guided by those relations. When applied to a complex virtual world and text describing that world, our relation extraction technique performs on par with a supervised baseline, and we show that a high-level planner utilizing these extracted relations significantly outperforms a strong, text unaware baseline. In the second application, we use a sampling framework to predict relation trees and to generate input parser code from those trees. Our results show that our approach outperforms a state-of-the-art semantic parser on a dataset of input format specifications from the ACM International Collegiate Programming Contest, which were written in English for humans with no intention of providing support for automated processing. Thesis Supervisor: Regina Barzilay Title: Professor
Point Cloud Mapping Using Only Onboard Lidar in GNSS Denied and Dynamic Environments

— This paper presents a 3D point cloud mapping in Global Navigation Satellite Systems (GNSS) denied and dynamic outdoor environments using only a scanning multilayer lidar mounted on a vehicle. Distortion in scan data from the lidar is corrected by estimating the vehicle’s pose (3D positions and attitude angles) in a period shorter than the lidar scan period based on Normal Distributions Transform (NDT) scan matching and Extended Kalman Filter (EKF). The corrected scan data are mapped onto an elevation map; static and moving scan data, which are originated from static and moving objects, respectively, in the environments, are classified using the occupancy grid method. Only the static scan data are applied to generate a point cloud map using NDT-based Simultaneous Localization And Mapping (SLAM) and graph-based SLAM. Experimental results in a public road environment show the performance of the proposed method.