Miracle-dz/UniFAR-FTUs huggingface dataset:
mHealth medication and blood pressure self-management program in Hispanic hypertensives: a proof of concept trial

Patient nonadherence to medication regimens and provider therapeutic inertia (failure to respond in timely manner to clinical data) are two primary contributors to ineffec- tive chronic disease management. This 3-month proof of concept trial used an iterative design approach guided by self-determination theory and the technology acceptance model to develop a culturally sensitive, patient-centered, and provider-centered mobile health medication and blood pressure self-management program. Cellular connected electronic medication trays provided reminder signals for patients to take medications and smartphone messaging reminded patients to take at-home blood pressures using a Bluetooth-enabled monitor. Providers were given bimonthly feedback. Motivational and reinforcement text and audio messages were sent based upon medication adherence rates and blood pressure levels. Ten Hispanics with uncontrolled essential hypertension were randomized to standard care and Smartphone Medication Adherence Stops Hypertension (SMASH) intervention groups. Primary outcomes of provider and patient acceptability of the program were found to be high. Retention rates for the 3-month program were 100%, with mean ± standard deviation overall medication adherence for the SMASH group at 97.2% ± 2.8%, with all strongly believing the program helped them remember to take their medication. SMASH participants measured their blood pressure every 3 days 83.2% ± 6.0% of the time and completed 89.2% ± 19.06% of the expected readings. Nonparametric tests showed statistical significance for resting blood pressure changes between groups at months 2 ( P = 0.016) and 3 (P = 0.008), with a pre-intervention to 3-month mean systolic blood pressure reduction of 47.2 mmHg for the SMASH group compared with a reduction of 12 mmHg for the standard care group. Change in scores between pre-intervention and months 1, 2, and 3 for ambulatory blood pressure values found that the SMASH group exhibited consistently greater reductions for 24-hour, wake, and sleep categories compared with little change in the standard care group, although statistical significance was not reached. Principles of patient-centered care highlight partnering with intended users and implementers are important when developing a culturally sensitive intervention that is meaningful and effective.
Interactive As-Rigid-As-Possible Image Deformation and Registration

This paper focuses on an existing as-rigid-as-possible deformation model that is particularly suitable for manipulating images that capture articulated objects, for example hand-drawn figures. The model can be used for interactive image deformation as well as automatic image registration. We have implemented both applications as tools for free/open-source image editor GIMP. We describe some details of the implementation and demonstrate functionality of these new tools on a variety of images. For image registration we compare the results of the method with results produced by two existing deformable image registration tools NiftyReg and Drop.
Statistical Model for Biomarkers of Susceptibility for Treatment Decision

INTRODUCTION Drug is developed with the intention of treatment of the entire population of patients with certain disease. However, if a drug is efficacious only for a fraction of population, then the conventional clinical trial is unlikely to be able to detect its efficacy if the fraction of the effective subpopulation is not sufficiently large. On the other hand, approved drugs are sometimes removed from the marketplace after the postmarketing discovery of unexpected toxicity that was not detected in extensive pre-clinical and clinical studies. A plausible explanation for the observation of such an unanticipated adverse event is the existence of relatively small, unidentified, hyper-sensitive subpopulations and adverse events only stand out when a drug is administered to a large segment of the general population. A main goal of pharmacogenomics for personalized medicine is to develop genomic signatures to predict patients' responses to drug or biologic therapy for treatment decision. Recent advances of molecular technologies can screen a large number of potential markers in a single experiment and may provide more sensitive identification methods and with increased predictive accuracy. This article presents a statistical model to distinguish two types of biomarkers for treatment decision: biomarkers of susceptibility and biomarkers of response, and proposes an approach for identifying a fraction of susceptible patients who should be spared from the unnecessary treatment. The approach involves two steps. The first step is to identify a set of biomarkers of susceptibility from a mixture of biomarkers of susceptibility and biomarkers of response. The second step is to develop a class-imbalanced classifier, based on the biomarkers identified, using an ensemble classification algorithm since the number of susceptible patients is generally much smaller than the number of non-susceptible patients. Simulation experiment was used to illustrate the approach and discuss important issues and applications in the development of biomarker classifiers to identify a small number of susceptible patients.
Protective effect of vitamin E and Selenium combination on cypermethrin-induced toxicity in male rats.

The present study was designed to investigate the adverse effects of Cypermethrin (CYP) intoxication on the liver, kidney, brain and heart and the probable alleviating capability of vitamin E and Selenium combination (VE/Se) against such effects. Twenty-four male albino rats were divided randomly into 4 equal groups (6 rats each), CYP-treated rats received CYP (4.67 mg/kg bwt equals 1/10 LD50) orally once daily, CYP +VE/Se-treated rats were injected subcutaneously with 0.2 ml/kg bwt Viteselen®15 twice weekly with concurrent daily administration of CYP once daily, VE/Se-treated rats and control group. After 60 days treatment all rats were euthanized. CYP induced significant increase in serum Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), urea, creatinine and malondialdhyde (MDA) levels and a significant reduction in reduced glutathione (GSH) level. Also, CYP revealed marked degenerative and necrotic alterations in liver, kidneys, brain and heart. Conversely, treatment with VE/Se combination improved CYP-induced oxidative damage and the histopathological alterations of these organs. Results indicated that CYP exerts significant harmful effects. And the concurrent administration of VE/Se partly reduced these detrimental effects.
Flow past a rotating cylinder

Flow past a spinning circular cylinder placed in a uniform stream is investigated via two-dimensional computations. A stabilized finite element method is utilized to solve the incompressible Navier–Stokes equations in the primitive variables formulation. The Reynolds number based on the cylinder diameter and free-stream speed of the flow is 200. The non-dimensional rotation rate, α (ratio of the surface speed and freestream speed), is varied between 0 and 5. The time integration of the flow equations is carried out for very large dimensionless time. Vortex shedding is observed for α < 1.91. For higher rotation rates the flow achieves a steady state except for 4.34 < α < 4:70 where the flow is unstable again. In the second region of instability, only one-sided vortex shedding takes place. To ascertain the instability of flow as a function of α a stabilized finite element formulation is proposed to carry out a global, non-parallel stability analysis of the two-dimensional steady-state flow for small disturbances. The formulation and its implementation are validated by predicting the Hopf bifurcation for flow past a non-rotating cylinder. The results from the stability analysis for the rotating cylinder are in very good agreement with those from direct numerical simulations. For large rotation rates, very large lift coefficients can be obtained via the Magnus effect. However, the power requirement for rotating the cylinder increases rapidly with rotation rate.
Effects of release modifier on Carvedilol release from Kollidon SR based matrix

Sustained release Carvedilol matrix tablets constituting Kollidon SR were developed in this study in an attempt to investigate the effect of release modifiers on the release profile of Carvedilol from matrix. Three matrix tablet formulations were prepared by direct compression of Kollidon SR in combination with release modifier (HPMC and Microcrystalline Cellulose) and magnesium stearate. Tablets containing only Kollidon SR with the active ingredient demonstrated a rapid rate of drug release. Incorporation of HPMC in the matrix tablet prolonged the release of drug but incorporation of Microcrystalline Cellulose showed superimposable release pattern with an initial burst effect as confirmed by mean dissolution time and Higuchi release rate data. After 7 hours of dissolution, Carvedilol release from the matrix systems were 91.42%, 83.41%, from formulation F1 and F2 respectively. Formulation F3 exhibited 100 % release at 4 hours. All the tablet formulations showed acceptable pharmaco-technical properties and complied with the in-house specifications for tablet weight variation, friability, hardness, thickness, and diameter. Prepared tablets also showed sustained release property for carvedilol. The drug release mechanism from the matrix tablets of F1 and F2 was found to be followed by Fickian and F3 by Non-Fickian mechanism. DOI: http://dx.doi. org/10.3329/icpj.v1i8. 11248 International Current Pharmaceutical Journal 2012, 1(8): 186-192
Managing Disruptive Innovation: Entrepreneurial strategies and tournaments for corporate longevity

Extant research on disruptive innovation has implicitly incorporated entrepreneurship as the underlying driver of the disruptive phenomenon. This article integrates recent developments from entrepreneurship and innovation research streams to better understand the conditions and causal mechanisms that influence disruptive innovation. Drawing on effectuation, evolutionary entrepreneurship, lead-users, collective intelligence and opportunity tournament literature, a theoretical framework is developed that explains disruptive innovation as a co-evolutionary entrepreneurial process at the firm, product, and customer level. The framework offers a set of testable propositions to advance theory and practice in the field. The authors suggest avenues for future research and conclude with entrepreneurial strategies to help general managers create and cope with disruptive innovation.
OPTIMIZATION OF CASTING PARAMETERS FOR CASTING OF AL/RHA/RM HYBRID COMPOSITES USING TAGUCHI METHOD

In the present work Taguchi method is used to optimize tensile strength and hardness of the stir casted LM 26 Al/RHA/RM hybrid composites. Taguchi’s L9 orthogonal array is used for experimental design. Overall performance of the stir casting method is improved significantly by combining the experimental and analytical concepts and the most important parameter is determined on the result response. Hybrid composites are prepared by stir casting technique using three different parameters, stirring time, stirring speed, and weight fraction of the reinforcement particles. Better parameters for highest tensile strength and hardness to the castings are predicted by Taguchi technique and then composites are prepared at these parameters. The experimental and analytical results proved that the Taguchi method was successful in predicting the parameters that give the highest properties. From analysis of variance (ANOVA) test weight fraction is the most influential parameter on the tensile strength and hardness results of castings. Keywords— LM 26 Al/RHA/RM hybrid Composites; Taguchi method; ANOVA; Tensile strength; Hardness.
Efficacy of some selected botanical extracts against the Cotton mealybug Phenacoccus solenopsis ( Tinsley ) ( Hemiptera : Pseudococcidae )

Laboratory studies were carried out to evaluate the efficacy of some locally available botanicals against cotton mealy bug Phenacoccus solenopsis on shoe flower plants Hibiscus rosa-sinensis. Plants extracts obtained from Azadirachta indica, Ocimum sanctum, Calotropis gigantea, Nicotina tabacum and Alium sativum using standard methods. Among all these botanicals, extracts were prepared and dilutions were obtained at 0.2, 0.4, 0.6, 0.8, 1.0,1.2,1.5, 2.0 percentage concentrations with the addition of soap solution. Among the treated botanicals, O.sanctum was effective significantly (p<0.05) at lower concentrations and has the 0.6% concentration as LC50. O.sanctum solution of this particular strength was applied in a field trial and was resulted lower adult mortality (39%) and a higher nymphal mortality (72%). Neem, Tobacco, Calotropis and Garlic solutions have LC50 values as 0.82, 0.89, 0.95 and 1.15 percentages respectively.
Negative Selection Algorithm : Recent Improvements and Its Application in Intrusion Detection System

Negative Selection Algorithm (NSA) is the main method in Artificial Immune System (AIS). It was inspired by the self and non self discrimination behavior observed in the Mammalian Immune System (MIS). Since it emerged in the 1990s it has a great attention from researchers as a branch of bio-inspired computational intelligence. Due to its useful properties, it has been applied in different domains, and especially in the intrusion detection system (IDS). However, the basic version of NSA is still has many problems and poor performance on real applications, these limitations motivate researchers in this field to develop new models and variants for NSA. This paper introduces this paradigm and surveys the major and recent improvements in the NSA. Furthermore, a brief introduction to IDS is included with the NSA applications especially in IDS.
Thermal stability of a 4 meter primary reflector for the Scanning Microwave Limb Sounder

The Scanning Microwave Limb Sounder (SMLS) is a space-borne heterodyne radiometer which will measure pressure, temperature and atmospheric constituents from thermal emission in [180,680] GHz. SMLS, planned for the NRC Decadal Survey's Global Atmospheric Composition Mission, uses a novel toric Cassegrain antenna to perform both elevation and azimuth scanning. These will provide better horizontal and temporal resolution and coverage than were possible with elevation-only scanning in the two previous MLS satellite instruments. SMLS is diffraction-limited in the vertical plane but highly astigmatic in the horizontal (beam aspect ratio ~1:20). Nadir symmetry ensures that beam shape is nearly invariant over ±65° azimuth. A low-noise receiver's FOV will be swept over the reflector system by a small azimuth-scanning mirror. We describe the fabrication and thermalstability test of a composite demonstration primary reflector, having full 4m height and 1/3 the width planned for flight. Using finite-element models of reflectors6 and structure, we evaluate thermal deformations and optical performance for 4 orbital environments and isothermal soak. We compare deformations with photogrammetric measurements made during soak tests in a chamber. The test temperature range exceeds predicted orbital ranges by large factors, implying in-orbit thermal stability of 0.21 micron rms/°C; this meets SMLS requirements.
Implementing a Robust Explanatory Bias in a Person Re-identification Network

Deep learning improved attributes recognition significantly in recent years. However, many of these networks remain "black boxes" and providing a meaningful explanation of their decisions is a major challenge. When these networks misidentify a person, they should be able to explain this mistake. The ability to generate explanations compelling enough to serve as useful accounts of the system's operations at a very high human-level is still in its infancy. In this paper, we utilize person re-identification (re-ID) networks as a platform to generate explanations. We propose and implement a framework that can be used to explain person re-ID using soft-biometric attributes. In particular, the resulting framework embodies a cognitively validated explanatory bias: people prefer and produce explanations that concern inherent properties instead of extrinsic influences. This bias is pervasive in that it affects the fitness of explanations across a broad swath of contexts, particularly those that concern conflicting or anomalous observations. To explain person re-ID, we developed a multiattribute residual network that treats a subset of its features as either inherent or extrinsic. Using these attributes, the system generates explanations based on inherent properties when the similarity of two input images is low, and it generates explanations based on extrinsic properties when the similarity is high. We argue that such a framework provides a blueprint for how to make the decisions of deep networks comprehensible to human operators. As an intermediate step, we demonstrate state-of-the-art attribute recognition performance on two pedestrian datasets (PETA and PA100K) and a face-based attribute dataset (CelebA). The VIPeR dataset is then used to generate explanations for re-ID with a network trained on PETA attributes.
The Interconnected Global Climate System—A Review of Tropical–Polar Teleconnections

This paper summarizes advances in research on tropical–polar teleconnections, made roughly over the last decade. Elucidating El Niño–Southern Oscillation (ENSO) impacts on high latitudes has remained an important focus along different lines of inquiry. Tropical to polar connections have also been discovered at the intraseasonal time scale, associated with Madden–Julian oscillations (MJOs). On the time scale of decades, changes in MJO phases can result in temperature and sea ice changes in the polar regions of both hemispheres. Moreover, the long-term changes in SST of the western tropical Pacific, tropical Atlantic, and North Atlantic Ocean have been linked to the rapid winter warming around the Antarctic Peninsula, while SST changes in the central tropical Pacific have been linked to the warming in West Antarctica. Rossby wave trains emanating from the tropics remain the key mechanism for tropical and polar teleconnections from intraseasonal to decadal time scales. ENSO-related tropical SST anomalies affect higher-latitude annular modes by modulating mean zonal winds in both the subtropics and midlatitudes. Recent studies have also revealed the details of the interactions between the Rossby wave and atmospheric circulations in high latitudes. We also review some of the hypothesized connections between the tropics and poles in the past, including times when the climate was fundamentally different from present day especially given a larger-than-present-day global cryosphere. In addition to atmospheric Rossby waves forced from the tropics, large polar temperature changes and amplification, in part associated with variability in orbital configuration and solar irradiance, affected the low–high-latitude connections.
A Robust Privacy Preserving Approach of Outsourced Data by Modified Frequent Web Access Pattern

Current scenario of large databases is in point of fact a major issue. Although, the conventional information examination seems to deal the extensive amounts of information. But the data analysts also attempt to analyze the productivity of data. This proposed work is an attempt to resolve the issue of digital information security by finding the highly frequent items in the dataset. Modified Frequent Web Access Pattern algorithm was developed in this work which find patterns in two scans. Technique called as super class substitution will be used here for perturbation of sensitive set of rules. It offers an added advantage of reducing the risk and the utility of database is also increased. Our experiment is carried out on a genuine dataset. The outcomes here, have shown that proposed work has better results over the previous methodologies.
Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers

In this paper we propose a scheme for managing energy flexibility in buildings with significant thermal masses and centralized climate control, such as commercial buildings, which can be used to provide ancillary services to the local electrical system (demand response). The scheme relies on being able to manipulate the forward flow temperature in the climate control system along with heating/cooling of zones of the building, and thereby controlling the electrical power consumption of the system. A Model Predictive Control law is formulated to provide pre-storage of thermal energy in the manipulated zones without violating comfort requirements. The scheme is illustrated on a case study of a Danish shopping center, from which actual heating/cooling data have been collected for identification of thermal dynamics. The Coefficient of Performance of the system’s chiller is assumed to have a known dependence on flow and temperature, which is exploited to relate electrical power consumption to forward flow temperature. Simulation studies indicate potentials for significant power curtailment, in the order of 100 kW for one hour for the shopping center as a whole.
Experimental study on thermo-physical and rheological properties of stable and green reduced graphene oxide nanofluids: Hydrothermal assisted technique

ABSTRACT In this study a dehydration hydrothermal technique has been used to introduce a simple, environmentally friendly and facile method for manufacturing highly dispersed reduced graphene oxide for improving the thermo-physical and rheological properties of heat transfer liquids. The hydrothermal reduction of graphene oxide was verified by various characterizations methods such as UV–visible absorption spectroscopy, Zeta potential, Raman spectroscopy, X-ray photoemission spectroscopy, X-ray diffraction, Fourier transform infrared spectroscopy, and transmission electron microscopy. A thorough investigation was conducted on the thermo-physical properties of reduced graphene oxide at concentrations of 0.02, 0.04, 0.06, and 0.08 wt% under different temperatures. Significant improvements in electrical and thermal conductivity were obtained by adding a small amount of hydrothermal-assisted reduced graphene oxide (h-rGO) in the suspension. The viscosity and density remained relatively unchanged with the increase of concentrations where the pH was maintained within the desirable value, despite the fact that no additive was used during the reduction process. It is noteworthy to highlight that the h-rGO aqueous suspensions have shown Newtonian behavior. Results indicated that the h-rGO could be employed as a promising additive for conventional heat transfer liquids for different thermal applications. GRAPHICAL ABSTRACT