Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF PREVALENCE AND RISK FACTORS OF KIDNEY DISEASE AMONG LOCAL POPULATION OF PAKISTAN

: Introduction: Non-communicable diseases (NCDs) present a significant global health challenge in the current century and have replaced communicable diseases as the most common causes of morbidity and premature mortality worldwide. Aims and objectives: The basic aim of this study is to analyze the increasing risk factors of kidney disease among local population of Pakistan. Material and methods: This cross sectional study was conducted at Allama Iqbal Memorial Teaching Hospital, Sialkot during September 2017 to August 2018. The baseline survey included questionnaires, anthropometric measurements, physical examination as well as ultrasound and laboratory assessment. Apart from questions directly related to kidney disease, questions regarding family as well as personal history of diabetes, hypertension, coronary heart disease, hyperlipidemia, and stroke were also asked. Information on smoking, regular exercise, alcohol intake, dietary habits including extra-salt or fat intake were also asked. Results: Table 01 shows the prevalence of CKD. Among all, 218(74.40%) had GFR >90, 61(20.81) were in CKD stage 2 with eGFR 60-89, and 14(4.77%) in CDK stage 3 with eGFR 30-59. The socio-demographic and clinical factors independently associated with presence of CKD were older age, hypertension, diabetes, elevated SBP, raised fasting plasma glucose, raised triglycerides, and history of stroke. Conclusion: It is concluded that CKD was independently associated with older age, hypertension, diabetes, raised systolic BP, raised plasma fasting glucose, raised triglycerides, and history of stroke.
Noise Analysis and Design Considerations for Equalizer-Based Optical Receivers

Optical receiver front ends that are intentionally designed to have a bandwidth low enough that significant inter-symbol interference (ISI) is introduced are becoming commonplace. Although the resultant ISI must be removed using an equalizer, the lower bandwidth allows for higher gain in the front-end’s first stage, lower input-referred noise, and fewer gain stages. With fewer main-amplifier stages, power dissipation is reduced. The noise analysis of these front ends presents several challenges. This paper derives integrated input-referred noise for inverter-based shunt-feedback transimpedance amplifiers from first principles and highlights the importance of correctly estimating the gain and noise bandwidth of the receiver. The notion of the effective gain of the receiver is introduced, which is lower than the midband gain typically used in noise calculations. The analysis of the inverter-based TIA is used to discuss the important design tradeoffs depending on the type of equalizer used. Integrated input-referred noise is derived and compared for front ends using decision-feedback equalizers (DFEs), continuous-time linear equalizers, and feed-forward equalizers. The simulation results show that a DFE-based receiver achieves the lowest input-referred noise.
Harmonisation within Atmospheric Dispersion Modelling for Regulatory DATA ANALYSIS METHODS FOR LOW-COST AIR QUALITY SENSORS

: Low-cost air quality sensors have the potential to contribute substantially to modelling of air quality in the form of generation of new knowledge, model validation and model input. Unfortunately, the poor or unknown data quality delivered by many low-cost air quality sensors hampers their widespread use in modelling and other areas. To contribute to the creation of this consensus, applied two outlier detection methodologies and five gap filling methodologies to a case study. We showed that erroneous data can be detected in a fully automated way, and that point and contextual outlier detection methodologies can be applied to low-cost air pollution data and yield meaningful results. The linear interpolation showed the best performance for gap filling for low-cost air pollution sensors. In conclusion, data cleaning procedures are important, and the presented methods can form part of a generalised data processing methodology for low-cost air pollution sensors.
I SLAMIC B ANKING S ERVICE I NNOVATION IN C USTOMER C O C REATION : I TS I MPACT ON C USTOMER T RUST , S ATISFACTION , AND L OYALTY

This study examines the impact of co-creation on customer trust, satisfaction, and loyalty in the context of Islamic banks, the relationship between co-creation and customer satisfaction and loyalty mediated by trust and customer satisfaction. 379 Islamic bank customers data were analyzed using variance-based structural equation modeling to test the nine hypotheses proposed. The study results found that customer co-creation positively influences customer trust and satisfaction, which further implicates loyalty. However, surprisingly co-creation does not affect Islamic bank customer loyalty. Islamic bank managers in Indonesia need to involve customers to participate in value co-creation. Because Islamic bank's customer loyalty relationship with co-creation is mediated in full by trust and satisfaction, this research is the first empirical investigation that tests customer co-creation in an integrated manner and its implications on trust, satisfaction, and customer loyalty in the Islamic bank industry.
Abstract Reviewed Paper at ICSA 2019 Presented ∗ by VDT. Mixed Realities: a live collaborative musical performance

In the presented work, a live-rendered percussionist is transformed into a virtual game character and performs a piece along digital avatars created from recordings (audio and motion-capture) of other members of an ensemble, while audience members can observe the collaborative performance through VR headsets. To create a cohesive and compelling result, the auditory expectations of the listeners need to be considered in terms of acoustic integrity between real and virtual sources and spatial impression of each avatar performer. This paper presents an overview of the workﬂow and motivations behind this pilot experiment of a novel musical experience, laying down the foundations for future subjective studies into collaborative music performances using virtual and augmented reality headsets. Particular focus is given to the technical challenges concerning the audio material, the perspectives of each participant role, and the qualitative impressions of musicians and audience.
The efficacy of polypropylene mesh and synovial fluid on tendon healing in dogs (a comparative study)

Tendon disorders are frequent in both human and veterinary medicine with high re-injury rates and unsatisfactory therapeutic treatments. Currently, tendon injury treatments programs are mainly conservative, focused on the pain management rather than on the healing process of the damage tendon. In the present study, we investigated the efficacy of autologous synovial fluid and polypropylene mesh to assist tendon healing in dog model. Twelve adult dogs were used in this study divided into two groups (six for each). Synovial fluid group, in which group the synovial fluid was injected in the sutured tendon area. In mesh group, the polypropylene mesh was sutured on the tenoctomized tendon. Clinical observations were done for four-week post-surgery, and showed improvement in lameness disappearance, and reduce swelling and redness at the operation site in synovial fluid group better than mesh group. Histological analysis showed that tendon defect covered with synovial fluid had a neo-tendon formation and good end-to-end healing with well organize collagen bundle and reduce gap formation. In conclusion, the histopathological and clinical observations infer that application of autologous synovial fluid on damaged tendon will improve its healing and establish a neo-tendon.
Three-dimensional non-destructive testing (NDT) in the infrared spectrum

Three-dimensional (3D) vision scanning for metrology and inspection applications is an area that knows an increasing interest in the industry. This interest is driven by the recent advances in 3D technologies, permitting to attain high precision measurements at an affordable cost. 3D vision allows for the modelling and inspection of the visible surface of objects. When it is necessary to detect subsurface defects, active infrared (IR) thermography is one of the most used tools today for non-destructive testing (NDT) of materials. Fusion of these two modalities allows the simultaneous detection of surface and subsurface defects and to visualize these defects overlaid on a 3D model of the scanned and modelled parts or their 3D computer-aided design (CAD) models. In this work, we present a framework for automatically fusing 3D data (scanned or CAD) with the infrared thermal images for an NDT process in 3D space.
On the Role of Contextual Information in the Organization of the Lexical Space

—A hotly debated topic in Psycholinguistics concerns the mental representation of words. The current theories about mental lexicon agree on the idea that contextual information plays a crucial role in the organization of lexical knowledge in mind. This paper presents the results of a study we conducted onto two large scale corpora, an Italian one and a Dutch one, aiming at the evaluation of the power of words context in language learning and processing. To this aim, we leverage an outstanding computational model resembling the basic aspects of the internal language formation process. The experiment outcomes show that, starting from the contextual information, it is possible to gain knowledge of even language-speciﬁc characteristics.The results corroborate the language-independence of the model we used. We motivated the representativeness of the model also in the light of the current psychological theories.
Smoldering Multiple Myeloma: A New Story to Tell

Smoldering Multiple Myeloma (SMM) is characterized by an M spike of 3 g/dL or more and/or a bone marrow containing at least 10% plasma cells with no evidence of end organ damage. Historically management of SMM patients has been based on a “watch and wait” strategy, but after understanding the heterogeneity of the behavior of this disease, several objections have been raised regarding need to start a therapy in some patients. The identification of several risk factors associated with a risk of progression of approximately 80% within 2 years of diagnosis, has allowed the identification of a small sub-category of SMM patients who gain benefit from early treatment. However, for all other patients, to date, a no-intervention approach is still recommended outside clinical trials. In this review, we provide an overview of SMM including definitions, current diagnostic work-up, risk factors associated with progression, and data from clinical trials performed with the objective of providing early treatment to SMM patients.
RESTORATION OF MARITIME FORESTS: EVALUATING LIMITING FACTORS OF QUERCUS VIRGINIANA (LIVE OAK) REGENERATION

Author: Thyroff, Emily C. MS Institution: Purdue University Degree Received: December 2018 Title: Restoration of Maritime Forests: Evaluating Limiting Factors of Quercus virginiana (Live Oak) Regeneration Committee Chair: Douglass Jacobs Maritime forests are a critical interface between ocean and terrestrial ecosystems, providing important ecosystem services and functions. Along the U.S. southern Atlantic coast, maritime forests are dominated by Quercus virginiana. Maritime forests and Q. virginiana have been heavily impacted by conversion to agriculture, residential development, and pine stands. Southern pine beetle outbreaks have led to salvage and thinning silvicultural treatments of pine stands which offer an opportunity to restore more complex maritime forests. This research project is comprised of two experiments which allowed me to study the performance of planted Q. virginiana seedlings in response to (1) animal browse, (2) competing vegetation, and (3) varying overstory pine canopies. For both experiments, one-year-old bareroot seedlings were planted as split-plot experimental designs. The first experiment evaluated control of deer browse (fenced and not fenced whole plots) and competing vegetation (0, 1, and 2-yr vegetation control subplots) as independent variables. Overall seedling survival was 60% after two years. There was a significant interaction between deer browse and competing vegetation for seedling height, diameter, crown width, and lateral branches. Seedlings were larger for all response parameters when fenced with vegetation control. Vegetation control significantly improved seedling performance only in fenced plots, indicating a shift in pressure from herbivory to competition when deer were excluded. Foliar nitrogen (N) was significantly greater in fenced plots than non-fenced plots and in 2-yr vegetation control subplots than non-weeded subplots. The second experiment evaluated varying pine overstories (clearcut, heavy thin, light thin, and no thin whole plots) and competing vegetation control (0 and 2-yr vegetation control subplots). Overall seedling survival was 78% after one growing season, with clearcut plots at the greatest survival (83%) and no thin at the lowest (72%). Seedling growth and foliar nitrogen were significantly greater in clearcut plots followed by the heavy
SECURITY MANAGEMENT-AN APPROACH TO ACTIVE NETWORK

-Network is becoming more and more complex and raises security issues. Networks are subject to attacks from malicious sources. Now a days, complexity of network security reaches to the edge of detecting intellectual attacks on network. Some shortcomings in the current systems disclose the requirement to design a new production of systems modified for dynamical environment. Generally, a network security system usually contains many components. Ideally, all components work together, which minimizes maintenance and improves security. Security management for networks is different for all kinds of situations. Active network is all about flowing of data packets through a network of telecommunication. In our paper, we first report to the active networks. Then, we discuss some new technologies of active networks in congestion control and network management. Second, we address issues of security in active network and the techniques for solving and implementing it and third, to create network services using the genetic algorithms of real-time within the network.
Central Limit Theorems for Radial Random Walks on $p\times q$ Matrices for $p\to\infty$

Let $\nu\in M^1([0,\infty[)$ be a fixed probability measure. For each dimension $p\in\b N$, let $(X_n^p)_{n\ge1}$ be i.i. d. $\b R^p$-valued radial random variables with radial distribution $\nu$. We derive two central limit theorems for $ \|X_1^p+. +X_n^p\|_2$ for $n,p\to\infty$ with normal limits. The first CLT for $n>>p$ follows from known estimates of convergence in the CLT on $\b R^p$, while the second CLT for $n<<p$ will be a consequence of asymptotic properties of Bessel convolutions. Both limit theorems are considered also for $U(p)$-invariant random walks on the space of $p\times q$ matrices instead of $\b R^p$ for $p\to\infty$ and fixed dimension $q$.
MiceDifferentiation and Prevents Bone Loss in Dynein Light Chain LC8 Inhibits Osteoclast

NF- k B is one of the key transcription factors activated by receptor activator of NF- k B ligand (RANKL) during osteoclast differentiation. The 8-kDa dynein L chain (LC8) was previously identiﬁed as a novel NF- k B regulator. However, its physiological role as an NF- k B inhibitor remains elusive. In this study, we showed the inhibitory role of LC8 in RANKL-induced osteoclastogenesis and signaling pathways and its protective role in osteolytic animal models. LC8 suppressed RANKL-induced osteoclast differentiation, actin ring formation, and osteoclastic bone resorption. LC8 inhibited RANKL-induced phosphorylation and subsequent degradation of I k B a , the expression of c-Fos, and the consequent activation of NFATc1, which is a pivotal determinant of osteoclastogenesis. LC8 also inhibited RANKL-induced activation of JNK and ERK. LC8-transgenic mice exhibited a mild osteopetrotic phenotype. Moreover, LC8 inhibited inﬂammation-induced bone erosion and protected against ovariectomy-induced bone loss in mice. Thus, our results suggest that LC8 inhibits osteoclast differentiation by regulating NF- k B and MAPK pathways and provide the molecular basis of a new strategy for treating osteoporosis and other bone diseases. The Journal of Immunology , 2013, 190: 000–000.
Iron: From Dietary Sources to Utilization in the Body

Iron is a mineral found in every cell of the body. It is considered an essential mineral because it is needed to make the oxygen-carrying proteins haemoglobin and myoglobin, which are the vital part of blood cells. Haemoglobin is found in red blood cells and myoglobin is found in muscles. Iron utilization by the body is dependent on it its bioavailability to the body, which is in turn dependent on several factors, including dietary factors; such that inhibit or enhance its bioavailability. Fortification of iron, which though varies with the type of iron compound, could also determine iron bioavailability. Subject factors, including the iron status of the individual, genetic disorder, nutritional deficiencies and infection/inflammation also contribute to bioavailability. These bioavailability issues, when not resolved would lead to iron-deficiency anaemia, an abnormality that could affect other functioning of the body. In addition, the role of widely consumed food additives such as erythorbic acid on iron bioavailability from mixed diets is important. The iron status of the individual is the overriding factor that determines iron bioavailability, and other host-related factors, such as inflammation, may also play an important role. The current article reviews all these and even more.
Efficient Topology of Voltage Source Inverter with Reduced number of Transistors

: An advanced topology of Voltage Source Inverter has been introduced in this paper. The usage of low-cost switching devices such as Thyristor give some edge to improved topology over conventional topology. The traditional topology requires six transistor, whereas on the contrary it possess only three high performance transistors. The conventional topology could prove to be expensive for high power applications where costly switching devices such as silicon carbide and gallium nitride are required thus, the new evolving topology could be more feasible for it. Simulation and experimental results have been provided for further verification.
Reproducing "Analyzing and Predicting News Popularity in an Instant Messaging Service"

This report aims to reproduce the results described by Naseri et. al 2019 "Analyzing and Predicting News Popularity in an Instant Messaging Service" [1]. The authors claim to improve news popularity prediction for four different news agencies in Telegram by applying a multi-task learning approach using MALSAR. They compare their multi-task approach to two different Support Vector Machine approaches, one using all data sets combined and one predicting each news agency in separate.
Fuzzy Jamming Pattern Recognition Based on Statistic Parameters of Signal＇s PSD

In order to recognize the jamming pattern in anti-jamming, a novel fuzzy jamming recognition method based on statistic parameters of received signal’s power spectral density (PSD) is proposed. It exploits PSD’s shape factor and skewness of received signal as classified characters of jamming pattern. After the mean center and variance of each jamming pattern are calculated by using some jamming samples, an exponential fuzzy membership function is used to calculate the membership value of the recognized sample. Finally, the jamming pattern of received signal is recognized by the maximum membership principle. The simulation results show that the proposed algorithm can recognize common eight jamming patterns accurately.
Face Detection and Recognization through Skin and Color Based Approach Using Genetic Algorithm

— one of the challenging problems in image processing is face detection. As we know, different people have different skin color, and Human skin color is an effective feature used to detect faces based on their intensity, several studies have shown that the basic difference. It is implemented with the combinations of Genetic Algorithm (GA) and Back Propagation Neural Networks (BPNN) for Face Recognition problems. This research paper addresses a robust face detection method with images in diversified backgrounds employing genetic algorithm. The effectiveness of this system has been verified over experimental procedures which conceal that the proposed face detector implements better than existing methods in terms of success rate and capability of allowing divergent illumination circumstance.
Radioresistant laryngeal cancers upregulate IGF-1R and exhibit increased cellular dependence on IGF and EGF signalling. Running title: IGF-1R associates with radioresistance in LSCC

Radioresistant laryngeal cancers upregulate IGF-1R and exhibit increased cellular dependence on IGF and EGF signalling. Abstract Objectives : Patients failing radiotherapy for laryngeal squamous cell carcinoma (LSCC) often require salvage total laryngectomy which has major functional consequences, highlighting a need for biomarkers of radiotherapy resistance. In other tumour types, radioresistance has been linked to epidermal growth factor receptor (EGFR) and type 1 insulin-like growth factor receptor (IGF-1R). Here, we evaluated IGF-1R and EGFR as predictors and mediators of LSCC radioresistance. Design : We compared IGF-1R and EGFR immunohistochemical scores in LSCC patients achieving long-term remission post-radiotherapy (n=23), patients treated with primary laryngectomy (n=22) or salvage laryngectomy following radiotherapy recurrence (n=18). To model radioresistance in vitro , two LSCC cell lines underwent clinically-relevant irradiation to 55 Gy in 2.75 Gy fractions. Results : IGF-1R expression associated with tumour size, was higher in pre-treatment biopsies of radiotherapy-failures than those in long-term remission (p=0.01) and was upregulated post-radiotherapy. Patients undergoing primary laryngectomy had higher T and N stage (p<0.05) and higher tumour IGF-1R (p=0.02) than those achieving long-term remission. Pre-treatment EGFR did not associate with radiotherapy outcomes but showed a trend to upregulation post-irradiation. In vitro , radiosensitivity was enhanced by inhibition of EGFR but not IGF. Repeated irradiation upregulated IGF-1R in BICR18 and SQ20B cells and EGFR in SQ20B, and enhanced SQ20B radioresistance. Inhibition of IGF and/or EGFR did not reverse radioresistance, but co-inhibition suppressed cell survival more effectively than blockade of either pathway alone, and more effectively than in parental cells. Conclusions disease-specific IGF-1R overexpression associates with clinical radioresistance in prostate, breast and colorectal cancer, and in experimental models, IGF-1R inhibition enhances radiosensitivity The aims here were to assess IGF-1R as a predictor of radioresistance in LSCC, and investigate whether IGF blockade alone or with EGFR inhibition enhances radiosensitivity in an induced radioresistance model. of LSCCs that recurred post-irradiation. Graphs show mean IGF-1R score ± 95% confidence intervals. Compared with biopsies of patients in the LTR group, LSCCs that recurred post-irradiation contained significantly more IGF-1R (p=0.01 by Mann-Whitney U test) but not EGF. D, E . Graphs show IGF-1R (D) and EGFR (E) scores in the plasma membranes and cytoplasm, and the total score (sum of membrane and cytoplasm score) in paired primary and recurrent tumour biopsies from the same patients. When analysed by paired t-test, IGF-1R scores were found to be significantly higher in the