Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship of physical activity with obesity indicators and serum leptin level in a type 2 diabetic local population.

Obesity is strong contributory factor in incidence and complications of type 2 diabetes and other degenerative disorders. Physical inactivity is associated with obesity and hormone levels. Current study was planned to investigate relationship of physical inactivity with obesity indicators and leptin levels in type 2 diabetics. Type 2 diabetes patients (n=112) visiting public hospitals of Lahore participated in this study. Anthropometric measures and physical activity were recorded using a structured questionnaire. Leptin levels were measured using ELISA. Statistical analysis was carried out to relate parameters of physical activity, obesity indicators and leptin levels. Results showed that type 2 diabetic subjects demonstrate unhealthy body composition and reduced physical activity. Physical activity was associated with leptin levels and obesity indicators. Leptin level was also significantly associated with the obesity indicators. It is concluded that physical inactivity is strongly related with obesity indicators and leptin levels in this population.
What types of care does it cover ?

11–13 CAVENDISH SQUARE LONDON W1G 0AN TEL: 020 7307 2591 www.kingsfund. org.uk THE KING’S FUND IS AN INDEPENDENT CHARITABLE FOUNDATION WORKING FOR BETTER HEALTH, ESPECIALLY IN LONDON. WE CARRY OUT RESEARCH, POLICY ANALYSIS AND DEVELOPMENT ACTIVITIES; WORKING ON OUR OWN, IN PARTNERSHIPS, AND THROUGH FUNDING. WE ARE A MAJOR RESOURCE TO PEOPLE WORKING IN HEALTH AND SOCIAL CARE, OFFERING LEADERSHIP DEVELOPMENT COURSES; CONFERENCES; SEMINARS AND WORKSHOPS; PUBLICATIONS; INFORMATION AND LIBRARY SERVICES; AND CONFERENCE AND MEETING FACILITIES CHARITY REG NUMBER 207401 Briefing
STRETCHABILITY TEST FOR MOZZARELLA CHEESE

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Dairy Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Dairy Science, 2012, DOI 10.3168/jds.2012-5486
Rapid measurement of the fiber’s transmission matrix

A novel fiber characterization technique is introduced that combines two holographic procedures for selective fiber-mode excitation and complete fiber-mode analysis. The fiber’s transmission matrix is constructed by directly measuring the response of the excited modes in terms of the entire guided mode spectrum. By applying a spatial multiplexing scheme for the modal decomposition, the transmission matrix is rapidly determinable, whereas the amount of needed measurements is proportional to the number of guided modes. Our technique characterizes the impact of the fiber on the mode signals and enables the investigation of underlying physical effects as well as signal correction schemes.
Markovian Approach to Time Transition Inference on Bayesian Networks

Also known in literature as belief networks, causal networks or probabilistic networks, Bayesian networks (BN) can be seen as models that codify the probabilistic relationships between the variables that represent a given domain (Chen, 2001); being one of the most prominent when considering the easiness of knowledge interpretation achieved. These models possess as components a qualitative (representing the dependencies between the nodes) and a quantitative (conditional probability tables of these nodes) structure, evaluating, in probabilistic terms, these dependencies (Pearl, 1988). Together, these components provide an efficient representation of the joint probability distribution of the variables of a given domain (Russel and Norvig, 2003).
Unifying Lightweight Blockchain Client Implementations

Lightweight clients are gaining increasing adoption in existing blockchain deployments, owing to their reduced resource consumption. There are currently a number of libraries that implement lightweight clients (e.g., BIP37, Electrum, LES, filter commitments). Notice that these libraries are intrinsically different and require significant effort to be integrated across blockchain platforms. Additionally, lightweight clients require the cooperation of full nodes, which are expected to invest in their computational (to run filters) and bandwidth resources in order to serve lightweight clients. Existing blockchains however offer no rewards for full nodes in exchange—which offers little incentives for full nodes to correctly serve lightweight clients. In this paper, we shed light on this problem and we show that smart contracts provide a natural and fair environment to deploy and provision filters for lightweight clients. Namely, we propose a scheme, SmartLight, that enables the integration of filters/libraries within smart contracts to support a wide range of lightweight client instantiations. We show that SmartLight can integrate payment routines to reward full nodes to serve lightweight clients. SmartLight can be integrated without modifications in existing blockchains that support smart contracts.
Multitasking in the Rural World: Technological Change and Sustainability

Charged by history and struggling for a spatial identity, the rural world may use specific sets of values to apply tacit knowledge and cope with an industrial model in transition. This paper prompts the opportunities for rurality in the metamorphosis of modernity challenges. Addressing issues like diversification, local competition or networking, rural firms are adapting by segmenting and moving towards less concentrated forms, in an attempt to integrate the marketing of non-commodities as the most adequate strategies for consumers. Such strategies that impose certifications based on specific know-how force locals to expand their knowledge basis and learning capacities, facilitating a more environmentally sustainable production model. Presented as a complex force field, the rural world suggests a new paradigm in which social participation is more demanded and local and regional actors are called to find compromises for the sustainable governance of natural resources and the advance of learning.
Are your wound management choices costing you money ?

CCG decision-makers, including GPs and pharmacists (Read, 2013). Without an understanding of the theory of wound healing and how dressings work, dressing selection is likely to be arbitrary and potentially ineffective, wasting both time and resources (Stephen-Haynes, 2013). In recognition of this, some CCGs have shifted wound dressing products from GP prescription to community services, acknowledging that the nurses managing wounds each day are better placed to make woundcare related decisions (Read, 2013).
Influence of Liraglutide Alone and in Combination With Glimepiride on Body Weight in Obese-Diabetic Rabbits

The objective of the study was to identify the influence of Liraglutide alone and in combination with Glimepiride on body weight in obese diabetic rabbits. Obesity was produced in rabbits with HFD (High fat diet) given for 10 weeks and diabetes was induced with dithizone (5 mg/kg i.p.). Liraglutide decreased the body weight in obese-diabetic rabbits significantly (p 0.05). It is concluded that Liraglutide alone and not in combination with glimepiride is effective in reducing the body weight of obese diabetic rabbits. Keyword: Liraglutide, Glimepiride, Body Weight, Obese Diabetic Rabbits
Dynamics of an Imperfect Microbeam Considering its Exact Shape

We study the static and dynamic behavior of electrically actuated micromachined arches. First, we conduct experiments on micromachined polysilicon beams by driving them electrically and varying their amplitude and frequency of voltage loads. The results reveal several interesting nonlinear phenomena of jumps, hysteresis, and softening behaviors. Next, we conduct analytical and theoretical investigation to understand the experiments. First, we solve the Eigen value problem analytically. We study the effect of the initial rise on the natural frequency and mode shapes, and use a Galerkin-based procedure to derive a reduced order model, which is then used to solve both the static and dynamic responses.We use two symmetric modes in the reduced order model to have accurate and converged results. We use long time integration to solve the nonlinear ordinary differential equations, and then modify our model using effective length to match experimental results.To further improve the matching with the experimental data, we curve-fit the exact profile of the microbeam to match the experimentally measured profile and use it in the reduced-order model to generate frequency-response curves.Finally, we use another numerical technique, the shooting technique, to solve the nonlinear ordinary differential equations. By using shooting and the curve fitted function, we found that we get good agreement with the experimental data. © 2014 ASME
Improving National Air Quality Forecasts with Satellite Aerosol Observations

Accurate air quality forecasts can allow for mitigation of the health risks associated with high levels of air pollution. During September 2003, a team of NASA, NOAA, and EPA researchers demonstrated a prototype tool for improving fine particulate matter (PM2.5) air quality forecasts using satellite aerosol observations. Daily forecast products were generated from a near-real-time fusion of multiple input data products, including aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS)/Earth Observing System (EOS) instrument on the NASA Terra satellite, PM2.5 concentration from over 300 state/local/national surface monitoring stations, meteorological fields from the NOAA/NCEP Eta Model, and fire locations from the NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) Geostationary Operational Environmental Satellite (GOES) Wildfire Automated Biomass Burning Algorithm (WF_ABBA) product. The products were disseminated via a Web interface to a small g.
Higher-order corrections to timelike jets

We present a simple formalism for the evolution of timelike jets in which tree-level matrix element corrections can be systematically incorporated, up to arbitrary parton multiplicities and over all of phase space, in a way that exponentiates the matching corrections. The scheme is cast as a shower Markov chain which generates one single unweighted event sample, that can be passed to standard hadronization models. Remaining perturbative uncertainties are estimated by providing several alternative weight sets for the same events, at a relatively modest additional overhead. As an explicit example, we consider Z {yields} q{bar q} evolution with unpolarized, massless quarks and include several formally subleading improvements as well as matching to tree-level matrix elements through {alpha}{sub s}{sup 4}. The resulting algorithm is implemented in the publicly available VINCIA plugin to the PYTHIA8 event generator.
A Confirmatory Factor Analysis of Cattell-Horn-Carroll Theory and Cross-Age lnvariance of the Woodcock-Johnson Tests of Cognitive Abilities

Establishing an instrument’s factorial invariance provides the empirical foundation to compare an individual’s score across time or to examine the pattern of correlations between variables in differentiated age groups. In the recently published Woodcock-Johnson Tests of Cognitive Ability (WJ COG) and Achievement (WJ ACH) Third Edition (111) the authors provide evidence for the factor structure of the entire battery, but they did not report the formal testing of the factorial invariance of the battery across age groups. In practice, all WJ I11 tests are generally not administered to a single examinee. The purpose of this study was to investigate the factorial invariance of the WJ COG under one of the most frequent testing scenarios: the calculation of an examinee’s General Intellectual Ability Score-Extended (GIA-EXT; a single, global or full-scale score of intelligence) and performance on the seven latent cognitive processing or Cattell-Horn-Carroll (CHC) clusters. The overall results from this study provide support for the factorial invariance of the WJ COG when the 14 tests contributing to the calculation of an examinee’s GIA and CHC factors scores are administered. Support is provided for the WJ COG theoretical factor structure across five age groups (ages 6 to 90+ years).
Single point and imaging measurements of the optical clearing process

Biomedical optics and photomedicine applications are challenged by the turbid nature of most biological tissue systems. This nature limits the penetration depth of light into the tissue. Optical clearing improves the penetration depth of light by the application of optical clearing agents which produce an equalization of refractive indices between tissue components and causes a decrease in tissue scattering, and thus increase in optical transmittance. In this paper we examine the effects of optical clearing agents on ex vivo porcine skin using the immersion method. We develop a simple model that can be used to compare different aspects of optical clearing agents such as the rate at which the clearing agents enters the tissue and also the reduction in scattering achieved. We examine the change in the reflected light spectrum over time as the clearing agent enters the skin. This is examined via point probe measurements and also a wide field imaging technique with a consumer-end digital camera. The consumer-end digital camera offers a cheap and simple method for analyzing optical clearing agents over a wider field, overcoming the limitations of single point measurements.
Inverse-Compton drag on a highly magnetized GRB jet in stellar envelope

The collimation and evolution of relativistic outflows in γ-ray bursts are determined by their interaction with the stellar envelope through which they travel before reaching the much larger distance where the energy is dissipated and γ-rays are produced. We consider the case of a Poynting-flux-dominated relativistic outflow and show that it suffers strong inverse-Compton (IC) scattering drag near the stellar surface and the jet is slowed down to sub-relativistic speed if its initial magnetization parameter (σ0) is larger than about 105. If the temperature of the cocoon surrounding the jet were to be larger than about 10 keV, then an optically thick layer of electrons and positrons forms at the interface of the cocoon and the jet, and one might expect this pair screen to protect the interior of the jet from IC drag. However, the pair screen turns out to be ephemeral, and instead of shielding the jet it speeds up the IC drag on it. Although a high σ0 jet might not survive its passage through the star, a fraction of its energy is converted to 1-100 MeV radiation that escapes the star and appears as a bright flash lasting for about 10 s.
CD47 IS UP-REGULATED ON LEUKAEMIA CELLS TO AVOID APOPTOSIS IN VITRO -

Treatment failure in T-cell acute lymphoblastic leukaemia (T-ALL) occurs when leukemic blasts acquire resistance to chemotherapeutic agents. Current research efforts are focused on the search for targets for the development of more effective and less toxic anti-leukemic drugs. CD47 has been suggested to be involved in chemo resistance and cell metastasis. Although several potential mechanisms were suggested to explain the therapeutic effect of CD47-targeting; the different effects by CD47 are still not well understood. In this study, we assessed the effect of doxorubicin on CD47 expression in jurkat T cells. Jurkat cells in complete medium were cultured with doxorubicin (50-1000nM) or control for 0, 24, 48 and 72 hours. Cells were stained with anti-CD47 FITC. Flow cytometry analysis was used for measurement of fluorescence intensity. Cell viability was detected using trypan blue exclusion test. Treatment with doxorubicin modulated the up-regulation of CD47 on membrane surfaces of jurkat cells with no significant killing of the cells. leukaemia cells exert their anti-apoptotic role through increased CD47 expression. CD47 is a novel functional protein in jurkat T cells with promising therapeutic potential and may provide insight for targeted therapy against T-ALL disease.
Irritable Bowel Syndrome: Diagnosis and management

14 INTRODUCTION Functional gastrointestinal disorders (FGIDs) are defined by symptoms because there are no specific disease markers available and there are no structural, mechanical or biochemical abnormalities (1). The symptoms of the FGIDs are probably related to various abnormalities including increased motor reactivity, visceral hypersensitivity, as well as changes in immunologic and inflammatory function of the mucosa. There is also some alteration, although poorly understood, in the CNS-enteric nervous system regulation. Several descriptive revisions of the functional gastrointestinal disorders have taken place involving multinational work groups, most recently in the “Rome III” guidelines, in an effort to clarify this area of Gastroenterology which can be “an unsatisfying Irritable Bowel Syndrome: Diagnosis and Management GI MOTILITY, A SERIES FROM THE AMS, SERIES #7
Multiple Architectural Approach for Urban Development Using Wearable IoT Devices: A Combined Machine Learning Approach

Machine Learning becomes a part of our life in recent days and everything we do in interlinked with machine learning. As a technocrat, we tried to implement machine learning with Internet of Things (IoT) for better implementation of technology in organizations for security. We designed an sample architecture which will carry the burden of safeguarding the organizational data with IoT using machine learning with an effective manner and in this case we were proposing utilization of cloud computing for better understanding of data storage and retrieval process. Machine learning is used for the prediction models based on which we need to perform high level analysis of data and using IoT we promote authorization mechanism based on which we recognize the appropriate recipient of data and cloud for managing the data services with the three-tier architecture. We present the architecture we are proposing for better utilization of machine learning and IoT with cloud architecture.
Machine Translation Evaluation beyond the Sentence Level

Automatic machine translation evaluation was crucial for the rapid development of machine translation systems over the last two decades. So far, most attention has been paid to the evaluation metrics that work with text on the sentence level and so did the translation systems. Acrosssentence translation quality depends on discourse phenomena that may not manifest at all when staying within sentence boundaries (e.g. coreference, discourse connectives, verb tense sequence etc.). To tackle this, we propose several documentlevel MT evaluation metrics: generalizations of sentence-level metrics, language-(pair)-independent versions of lexical cohesion scores and coreference and morphology preservation in the target texts. We measure their agreement with human judgment on a newly created dataset of pairwise paragraph comparisons for four language pairs.
The Impact of Embodied Emotion on Memory

The theory of embodied emotion supported by a wide range of theoretical hypotheses and research evidence, believes that the process of expression, perception, processing, and understanding of emotion is closely related to the body. In other words, the anatomy of the body, the way the body moves, the feelings and movements of the body have an important influence on individual emotion processing. Emotional memory has always been a significant part of the research in the field of memory as memory itself contains many emotional information. In addition, as important branches of memory research, implicit memory and recognition memory have also been paid more and more attention by researchers. The link between the different types of memory and embodied emotion has become an essential part of research. In this paper, typical embodied emotion and memory theories are combed. Meanwhile, the usage of the embodied emotion paradigm is also summarized to understand the effects of embodied emotion on memory.
Development and Control of Modular Robots for Rough Terrain Traversal

In this thesis, the development of a novel compliant modular robot is proposed for deployment in Urban Search And Rescue(USAR) scenarios. In the light of the recent natural disasters in India and Japan, there is a renewed interest in developing rough terrain robots that can aid in search and rescue efforts by navigating through the rubble to search for trapped victims and dispense basic first-aid. Specifically, USAR scenarios are very challenging for robots. Each disaster is unique and the terrain knowledge gained from one may not be useful in the other. Additionally, the obstacles are so varied in size, shape and rigidity that a conventional single block mobile robot is often limited by either its size or its limited internal freedom to deform enough along these obstacles. Keeping this in view, we propose the use of a modular design. Each robot module consists of a link and a wheel pair, that are capable of traversing on their own. The wheels are powered to provide propulsion for the robot. The modules are combined to form a snake-like structure and a joint, called link joint, is created between every module pair to allow free rotation (pitch) in the sagittal plane. In the literature, these type of robots are called snake-like robots and more specifically Active Wheel-Passive Joint (AW-PJ) type of robots. These robots typically have a passive articulation mechanism due to the absence of motors at the link joints. While these robots have better ability to navigate through tight pockets, they cannot climb heights greater than one module length due to the problem of tip-over. The primary motivation of this thesis is to enable these robots to climb bigger obstacles and develop a methodology to estimate the number of modules required to climb any given height. This enables us to add more modules, when required, and in principle, climb any given height. Initial work focused on the development of a semi-active modular robot. The robot had five modules and it was minimally equipped with two motors, one each at the second and fourth link joints, respectively. The idea was to use the passive mechanism for climbing steps of smaller heights and motor only while climbing steps of bigger heights. A model-based controller was designed for the active link joints to achieve big-step climbing. The robot therefore had the advantage of height-independent climbing motion as in the case of passive mechanism along with the extra freedom of active joints for maintaining vehicle stability, when necessary. Efficacy of