Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of peripheral arterial disease among diabetic patients in Santo Domingo, Dominican Republic and associated risk factors

Introduction Peripheral arterial disease (PAD) is a major risk factor of coronary artery disease and a major complication of atherosclerosis. Peripheral arterial disease can be diagnosed with simple and low cost techniques. There are major risk factors of PAD that have been studied for different countries. However, no such study has been done for the Dominican Republic. We conducted a cross-sectional study to determine the prevalence of PAD and the risk factors among patients with diabetes in Santo Domingo, Dominican Republic. Material and methods Six hundred randomly chosen patients with previously diagnosed diabetes were enrolled in our study. Their blood pressure and ankle brachial index were calculated and a questionnaire was provided to gather information regarding gender, age, weight, ethnicity, known duration of diabetes along with any history of smoking, hypertension and hyperlipidemia. A physical examination was also done to assess for any active diabetic ulcers, previous foot ulcers and non-traumatic amputation. A microfilament test was conducted to check for peripheral neuropathy. Results Eighty-four diabetic patients were diagnosed with PAD with a prevalence of 14% in Santo Domingo, Dominican Republic. Statistically significant associations (p < 0.05) was found for female gender, presence of active foot ulcers, history of past foot ulcer, non-traumatic amputation, hypertension, hyperlipidemia and peripheral neuropathy. Glycated hemoglobin (HbA1c), age and smoking were not statistically significant in our study. Conclusions Diabetic patients who are either female, have active foot ulcers, a history of past foot ulcer, non-traumatic amputation, hypertension, hyperlipidemia or peripheral neuropathy are more at risk of developing PAD.
Improving Testability and Reliability of Advanced SRAM Architectures

As process technology continues to scale, the test quality, yield and reliability of modern System-on-Chips increasingly depend on their embedded SRAM blocks. Their extreme integration density in conjunction with complex manufacturing process result in subtle lithographic imperfections which demand increasingly effective test solutions to guarantee low DPPM (defective parts per million) rates while keeping test costs low. At the same time, SRAMs are particularly affected by scaling-driven reliability challenges, and addressing them by large aging guard-bands further deteriorates SRAM yield. In this work, we show that built-in circuitry integrated into modern memory architectures can resolve these challenges and eliminate or greatly reduce the need for additional design for testability logic. In particular, we propose to use assist circuits and the inherent memory self-timing mechanism to increase the coverage of small resistive-open defects as well as to specifically screen out those core-cells which are most susceptible to long-term BTI (Bias Temperature Instability) aging. A detailed fault-injection study on an industrial 28nm technology demonstrates that the range of detectable resistances for cell-internal open defects increases by up to 30 percent and potentially unreliable cells prone to BTI aging are screened out. We also suggest a test flow which applies the introduced techniques in an industrial MBIST (memory built-in self-test) environment.
Efficient Nash Equilibrium Under Adverse Selection

This paper revisits the problem of adverse selection in the insurance market of Rothschild and Stiglitz [28]. We propose a simple extension of the game-theoretic structure in Hellwig [14] under which Nash-type strategic interaction between the informed customers and the uninformed firms results always in a particular separating equilibrium. The equilibrium allocation is unique and Pareto-efficient in the interim sense subject to incentive-compatibility and individual rationality. In fact, it is the unique neutral optimum in the sense of Myerson [22].
Mycoplasma bovis arthritis and pneumonia in calves in Jordan: An emerging disease

Aim: Clinical, microbiological, molecular, and pathological assays were undertaken to characterize an outbreak of increasingly reported signs of unresponsive arthritis and pneumonia of Mycoplasma bovis infection in young calves in Jordan. Materials and Methods: Clinical history of the affected bovine herd was investigated for the presence of respiratory and/or joint problems. Two calves with such history were clinically examined and necropsied. Representative tissues were sent for microbiological, molecular, and pathological examinations for M. bovis infection. Results: The outbreak started in a herd of 220 nursing calves, 2 months before the receiving of two calves for postmortem examination. Clinically, respiratory signs and infection of one or more joints dominated in the affected calves. The morbidity and case fatality rates were 27.27% and 61.7%, respectively. The left carpal joint was markedly swollen in both calves and exhibited necrofibrinous to granulomatous arthritis in varying degrees of severity. The anteroventral lung lobes in both calves were consistently affected and revealed multifocal to coalescing severe necrogranulomatous and fibrinopurulent bronchopneumonia. Microbiological and molecular findings confirmed the pathological examination. Furthermore, bovine viral diarrhea (BVD) was diagnosed in one calf by histopathology and polymerase chain reaction. Conclusion: This investigation reports the first outbreak of M. bovis infection in calves located in Jordan that could occur concurrently with BVD.
Synthetic biological circuits for continuous signal processing

Natural organisms evolved gene networks that measure continuous environmental information and adjust gene expression to maximize fitness. Engineered cells will need to be capable of similar signal processing and computation in order to operate efficaciously in complex environments, like the human body. In this thesis I describe the development of synthetic biological circuits that enable such capabilities. In the first chapter, analog gene networks are engineered to measure the concentration of molecules and to perform mathematical operations such as addition and division. Building on this work, analog gene networks are next engineered to compensate for input-sensor circuit crosstalk. Finally, in the third chapter, analog-to-digital converters are introduced to convert signals from analog gene circuits into discrete regimes of gene expression. This mixed-signal approach merges the benefits of analog signal processing and of digital signal integration to enable robust continuous signal processing. I posit that the computational architecture demonstrated herein will enable novel applications for the field of synthetic biology. Thesis Supervisor: Timothy K. Lu Title: Associate Professor of Biological Engineering and of Electrical Engineering and Computer Science
An analysis of persuasive technologies for energy demand side management

The past ten years, at the intersection between psychological persuasion and human-computer interaction, some interactive systems have been designed with the aim to reach energy efficiency and sufficiency. We question the types of user interfaces of these systems, the persuasion steps covered, and the spaces targeted by these systems. We have built a corpus, meant to be exhaustive, of systems dedicated to electricity and filled out a matrix to analyze the corpus according to 15 criteria. Two main types of interfaces emerge and none are covering all the persuasion steps. We also open new prospects for the field by observing that the active tangible manipulation and the copresent collaboration (e.g. the tabletops) are under-represented in the corpus.
Distribution of population of immature stages of common pistachio psyllid, Agonoscena pistaciae within the tree and development of sampling strategy

The distribution of population of egg and different nymph stages of common pistachio psyllid, Agonoscena pistaciae Burckhardt and Lauterer (Hemiptera: Psyllidae) within the pistachio tree canopy were investigated in Rafsanjan during 2013 and 2014. Also, in this study, the preference of pest to lay egg and activity on young, mature and old leaves, light and dark green leaves and leaves available in shade and sun were evaluated. The results indicate that common pistachio psyllid infestation was higher significantly in the upper and middle parts of the tree canopy compared with the lower parts. Means population density of egg and nymph were higher significantly on mature, dark green leaves and leaves in sun in comparison to young, light green leaves and leaves available in shade. Therefore, the results of this study indicated that common pistachio psyllid population is not randomly distributed in various sections and leaves of the pistachio tree.
Multi-sensor movement analysis for transport safety and health applications

Recent increases in the use of and applications for wearable technology has opened up many new avenues of research. In this paper, we consider the use of lifelogging and GPS data to extend fine-grained movement analysis for improving applications in health and safety. We first design a framework to solve the problem of indoor and outdoor movement detection from sensor readings associated with images captured by a lifelogging wearable device. Second we propose a set of measures related with hazard on the road network derived from the combination of GPS movement data, road network data and the sensor readings from a wearable device. Third, we identify the relationship between different socio-demographic groups and the patterns of indoor physical activity and sedentary behaviour routines as well as disturbance levels on different road settings.
Monitoring social media: Summarization, classification and recommendation

In this dissertation, we continue previous research on understanding social media documents along three lines: summarization, classification and recommendation. Our first line of work is the summarization of social media documents. Considering the task of time-aware tweets summarization, we first focus on the problem of selecting meaningful tweets given a user’s interests and propose a dynamic latent factor model. Thereafter, given a set of opinionated documents, we address the task of summarizing contrastive themes by selecting meaningful sentences to represent contrastive themes in those documents. A viewpoint is a triple consisting of an entity, a topic related to this entity and sentiment towards this topic. In this thesis, we also propose the task of multi-viewpoint summarization of multilingual social text streams, by monitoring viewpoints for a running topic and selecting a small set of informative documents. Our second line of work concerns hierarchical multi-label classification. Hierarchical multi-label classification assigns a document to multiple hierarchical labels. Here, we focus on hierarchical multi-label classification of social text streams, in which we propose a structured learning framework to classify a short text from a social text stream to multiple classes from a predefined hierarchy. Based on a viewpoint extraction model that we propose as part of a multi-viewpoint summarization task, our third line of work applies a latent factor model for predicting item ratings that uses user opinions and social relations to generate explanations.
ost-arthroscopy septic arthritis : Current data and practical

Septic arthritis develops after less than 1% of all arthroscopy procedures. The clinical symptoms may resemble those seen after uncomplicated arthroscopy, raising diagnostic challenges. The diagnosis rests on emergent joint aspiration with microscopic smear examination and prolonged culturing on specific media. Urgent therapeutic measures must be taken, including abundant arthroscopic lavage, synovectomy, and the concomitant administration of two effective antibiotics for at least 6 weeks. Preservation of implants or transplants is increasingly accepted, and repeated joint lavage is a component of the treatment strategy. After knee arthroscopy, infection is the most common complication; most cases occur after cruciate ligament reconstruction, and staphylococci are the predominant causative organisms. Emergent synovectomy with transplant preservation and appropriate antibiotic therapy ensures eradication of the infection in 85% of cases, with no adverse effect on final functional outcomes. After shoulder arthroscopy, infection is 10 times less common than neurological complications and occurs mainly after rotator cuff repair procedures; the diagnosis may be difficult and delayed if Propionibacterium acnes is the causative organism. The update presented here is based on both a literature review and a practice survey. The findings have been used to develop practical recommendations aimed at improving the management of post-arthroscopy infections, which are exceedingly rare but can induce devastating functional impairments. © 2015 Elsevier Masson SAS. All rights reserved.
A Clustering Algorithm for Mobile Ad-Hoc Network

In this paper, a clustering algorithm for ad hoc network named D-tree is proposed. After calculating the value of relation between ad hoc network nodes by using relativity concept, the D-tree algorithm can be used for clustering the random located mobile nodes. The analysis and simulation of D-tree has been implemented and the relation between network variables has been got.
Optimal stochastic scheduling of a two-stage tandem queue with parallel servers

We consider the optimal stochastic scheduling of a two-stage tandem queue with two parallel servers. The servers can serve either queue at any point in time and the objective is to minimize the total holding costs incurred until all jobs leave the system. We characterize sufficient and necessary conditions under which it is optimal to allocate both servers to the upstream or downstream queue. We then conduct a numerical study to investigate whether the results shown for the static case also hold for the dynamic case. Finally, we provide a numerical study that explores the benefits of having two flexible parallel servers which can work at either queue versus servers dedicated to each queue. We discuss the results' implications for cross-training workers to perform multiple tasks.
Establishing a detection method for CCNY: a potentially significant clinical investigative marker in NSCLC patients

Background CCNY, a novel cyclin family member, plays an increasingly important role in the progression of tumor invasion and metastasis, including lung cancer. However, the clinical significance of CCNY in non-small-cell lung cancer (NSCLC) patients is unknown. Patients and methods We prepared CCNY monoclonal antibodies, validated specific peptides by a peptide array, and established a double-antibody sandwich ELISA detection method. Then, we measured CCNY levels in 100 NSCLC patients and 50 healthy controls. A blinded validation was subsequently performed in 399 NSCLC patients and 150 healthy controls. Results We successfully prepared two specific mouse anti-human CCNY monoclonal antibodies and established a reliable and stable detection method. In the training set, serum CCNY was markedly increased in the NSCLC patients (P<0.05) with an integrated area under the curve of 0.751. With further analysis of the CCNY levels, there were no differences in age, sex, smoking status, tumor location, histologic subtype, or tumor size, but differences were observed in lymphatic (P<0.001) and distant (P<0.001) metastases in NSCLC patients. The CCNY[+] patients had a shorter survival time and progression-free survival than CCNY[−] patients at 3-year follow-up (P<0.001). The results were confirmed by the validation set. Conclusion Our study suggests that CCNY may be useful as a latent tumor marker to facilitate diagnosis and may be an effective indicator of tumor aggressiveness, playing an important role in the prognosis of NSCLC patients.
Exploration on Attribution of Multi-source Network Attack

The attributing technology for network attack plays a key role in locating attack source,stopping or checking attack,providing lawful testimony,and deterring attackers. In this paper,the difficulties for network attack attribution in large-scale network are discussed,and the technical principles and technical characteristics of present attack-tracing approaches are described. Meanwhile the multi-source attributing approach in combination of multiple attributing mechanisms is proposed,and the information fusion-based multi- source network attack attribution architecture of strong scalability and easy deployment also designed.
Academic Literacy Readings And Strategies

Thank you for downloading academic literacy readings and strategies. Maybe you have knowledge that, people have search numerous times for their favorite novels like this academic literacy readings and strategies, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their desktop computer. academic literacy readings and strategies is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the academic literacy readings and strategies is universally compatible with any devices to read.
Applications of wireless communication in traffic networks using a hierarchical hybrid system model

In intelligent transportation systems, one is faced with two crucial problems: traffic safety and traffic efficiency. Although much effort has been devoted to this area, many issues still remain unsolved, this dissertation presents a few attempts towards this topic by studying different vehicle operation control policies and traffic management strategies using a hierarchical hybrid system framework. We first construct a hierarchical architecture of hybrid system for a single vehicle where the continuous time plant (vehicle dynamics) is supervised by the discrete-state controller, which is developed in a two-tier discrete event system. We then address the multiple vehicles cooperation problems by introducing an additional layer into the discrete event system that indicates the cooperation control tasks. By employing the hierarchical hybrid system model, we develop microscopic traffic simulators that make it possible to analyze, test and evaluate different vehicle operation control policies and traffic management strategies. We present an intersection collision mitigation approach, due to the practical relevance, we further design an inter-vehicle communication based three-level intersection warning system. Performance evaluation is presented using the traffic simulator which also mimic driver response and acceptability for alerts. Wireless communication based driver assistance systems are proposed to increase the traffic efficiency simultaneously decrease traffic accidents. System performance illustrates the effectiveness of wireless ii communication in intelligent vehicle applications and the proof-of-concept of technology availability.
Developing a Semantic Web Crawler to Locate OWL Documents

Koron, Ronald. M.S. Department of Computer Science and Engineering, Wright State University, 2012. Developing a Semantic Web Crawler to Locate OWL Documents. The terms Semantic Web and OWL are relatively new and growing concepts in the World Wide Web. Because these concepts are so new there are relatively few applications and/or tools for utilizing the potential power of this new concept. Although there are many components to the Semantic Web, this thesis will focus on the research question, "How do we go about developing a web crawler for the Semantic Web that locates and retrieves OWL documents. " Specifically for this thesis, we hypothesize that by giving URIs to OWL documents, including all URIs from within these OWL documents, priority over other types of references, then we will locate more OWL documents than by any other type of traversal. We reason that OWL documents have proportionally more references to other OWL documents than non-OWL documents do, so that by giving them priority we should have located more OWL files when the crawl terminates, than by any other traversal method. In order to develop such an OWL priority queue, we needed to develop some heuristics to predict OWL documents during real-time parsing of Semantic Web documents. These heuristics are based on filename extensions and OWL language constructs, which are not absolute when predicting a document type before retrieval. However, if our reasoning is correct, then URIs found in an OWL document will likely lead to more OWL documents, such that when the crawl ends because of reaching a maximum document limit, we will have retrieved more OWL documents than by other methods such as breadth-first or loadbalanced. We conclude our research with an evaluation of our results to test the validity of our hypothesis and to see if it is worthy of future research.
Effect of systemic antihypertensives on change in intraocular pressure after initiating topical prostaglandins for primary open-angle glaucoma

Purpose There is a limited understanding of factors that influence the efficacy of topical glaucoma medication. Our study is a long-term, case–control analysis of how systemic antihypertensive (anti-HTN) medications influence the change in IOP after initiating prostaglandin (PG) drop therapy. Materials and methods A retrospective chart review of 3,781 patients was performed on patients with a diagnosis of glaucoma suspect that progressed to primary open-angle glaucoma (POAG) by ICD-9 codes over a 10-year period. Inclusion criteria consisted of the following: 1) progression from preglaucoma to glaucoma diagnosis in a time span of ≥6 months; 2) two visual fields recorded between these dates; 3) initial average IOP of both eyes of ≥21 mmHg; and 4) initiation of topical PG therapy alone. IOP (in mmHg) was measured at initiation of PG drops and at next visit. Results One hundred eleven patients were qualified for analysis. Patients not on anti-HTN agents had an average IOP decrease of 6.38±0.56 mmHg. Comparatively, patients on anti-HTN agents had an average IOP decrease of 6.66±0.48 mmHg (P=0.61). In addition, there was no statistical difference between IOP decrease between patients on single vs multiple systemic anti-HTN agents (P=0.85). There were eight nonresponders to PGs on no anti-HTN medications and 12 nonresponders on anti-HTN medication (P=0.55). Conclusion Systemic anti-HTN medication use did not significantly impact IOP reduction after topical PG initiation for POAG. Additionally, nonresponse to PG therapy was not correlated to systemic anti-HTN use.
Statistical static timing analysis considering process variations and crosstalk

Statistical Static Timing Analysis Considering Process Variations and Crosstalk. (August 2005) Senthilkumar Veluswami, B.E. , Anna University, Chennai, India Chair of Advisory Committee: Dr. Duncan Moore Henry Walker Increasing relative semiconductor process variations are making the prediction of realistic worst-case integrated circuit delay or sign-off yield more difficult. As process geometries shrink, intra-die variations have become dominant and it is imperative to model them to obtain accurate timing analysis results. In addition, intra-die process variations are spatially correlated due to pattern dependencies in the manufacturing process. Any statistical static timing analysis (SSTA) tool is incomplete without a model for signal crosstalk, as critical path delays can increase or decrease depending on the switching of capacitively coupled nets. The coupled signal timing in turn depends on the process variations. This work describes an SSTA tool that models signal crosstalk and spatial correlation in intra-die process variations, along with gradients and inter-die variations.