Miracle-dz/UniFAR-FTUs huggingface dataset:
Privacy of Integrated Data Using Efficient Classification Algorithm

Data mining is a field where analysis on the basis of certain parameters can be analyzed. During the process of data mining dataset plays an important role on the basis of which analyses can be fulfilled. But during the processing of the dataset security is also important issue, since the chances of data leak or attacks have increased. Hence privacy preservation is important for the security of these datasets. Here in this paper an efficient implementation of privacy preservation of data using horizontal partition id3 classification tree is proposed which can used as an application for the data integration services. Here data can be collected from different sources which can be integrated at the UTP and privacy of this data can be preserved using our proposed algorithm.
Implementing an AODV-like routing protocol at layer 2 for ad hoc 802.11-based wireless networks

Routing protocols play an important role in ad-hoc networks. The routing protocol AODV has been implemented on different platforms. These AODV implementations operate, roughly speaking, at layer 3 of the OSI Reference Model, and have several disadvantages. We have experimented with an implementation of an AODV-like routing protocol at layer 2 to show that such disadvantages can be avoided.
Assessment by Flow Cytometry of Cytokine Production in Malnourished Children

ABSTRACT Malnutrition in children is associated with an increased risk of infection and death. Multiple abnormalities in the immune response, including cytokine production, in protein energy-malnourished children have been described and could account for the increased severity and frequency of infections. In this study, we used flow cytometry to investigate the effects of malnutrition on the production of cytokines (interleukin-2 [IL-2], gamma interferon [IFN-γ], IL-4, and IL-10) in CD4+ and CD8+ cells and the activation capability (as indicated by CD69+ and CD25+ cells). CD4+ and CD8+ cells from malnourished children showed increased production of IL-4 and IL-10 cytokines and decreased production of IL-2 and IFN-γ cytokines compared to that in cells from well-nourished, uninfected and well-nourished, infected children. In addition, malnourished children showed impaired activation capability, since the fluorescence intensity of CD69+ and CD25+ cells was lower than that in cells from well-nourished, uninfected and well-nourished, infected children. These results indicate that malnutrition alters the capacity of CD4+ and CD8+ cells to produce IL-2, IFN-γ, IL-4, and IL-10 in response to stimulus. We concluded that both cytokine production and activation capacity were impaired in malnourished children. This functional impairment may be involved in the failure to develop a specific immune response and the predisposition to infection in these children.
Perceived heat stress and health effects on construction workers

Introduction: Increasing heat waves-particularly in urban areas where construction is most prevalent, highlight a need for heat exposure assessment of construction workers. This study aims to characterize the effects of heat on construction workers from a site in Gandhinagar. Materials and Methods: This study involved a mixed methods approach consisting of a cross sectional survey with anthropometric measurements (n = 219) and four focus groups with construction workers, as well as environmental measurements of heat stress exposure at a construction site. Survey data was collected in two seasons i.e., summer and winter months, and heat illness and symptoms were compared between the two time periods. Thematic coding of focus group data was used to identify vulnerability factors and coping mechanisms of the workers. Heat stress, recorded using a wet bulb globe temperature monitor, was compared to international safety standards. Results: The survey findings suggest that heat-related symptoms increased in summer; 59% of all reports in summer were positive for symptoms (from Mild to Severe) as compared to 41% in winter. Focus groups revealed four dominant themes: (1) Non-occupational stressors compound work stressors; (2) workers were particularly attuned to the impact of heat on their health; (3) workers were aware of heat-related preventive measures; and (4) few resources were currently available to protect workers from heat stress. Working conditions often exceed international heat stress safety thresholds. Female workers and new employees might be at increased risk of illness or injury. Conclusion: This study suggests significant health impacts on construction workers from heat stress exposure in the workplace, showed that heat stress levels were higher than those prescribed by international standards and highlights the need for revision of work practices, increased protective measures, and possible development of indigenous work safety standards for heat exposure.
T Regulatory Lymphocytes Prevent Aldosterone-Induced Vascular Injury

Aldosterone mediates actions of the renin-angiotensin-aldosterone system inducing hypertension, oxidative stress, and vascular inflammation. Recently, we showed that angiotensin II–induced hypertension and vascular damage are mediated at least in part by macrophages and T-helper effector lymphocytes. Adoptive transfer of suppressor T-regulatory lymphocytes (Tregs) prevented angiotensin II action. We hypothesized that Treg adoptive transfer would blunt aldosterone-induced hypertension and vascular damage. Thirteen to 15-week–old male C57BL/6 mice were injected intravenously at 1-week intervals with 3×105 CD4+CD25+ cells (representing Treg) or control CD4+CD25− cells and then infused or not for 14 days with aldosterone (600 &mgr;g/kg per day, SC) while receiving 1% saline to drink. Aldosterone induced a small but sustained increase in blood pressure (P<0.001), decreased vasodilatory responses to acetylcholine by 66% (P<0.001), increased both media:lumen ratio (P<0.001) and media cross-sectional area of resistance arteries by 60% (P<0.05), and increased NADPH oxidase activity 2-fold in aorta (P<0.001), kidney and heart (P<0.05), and aortic superoxide production. As well, aldosterone enhanced aortic and renal cortex macrophage infiltration and aortic T-cell infiltration (all P<0.05), and tended to decrease Treg in the renal cortex. Treg adoptive transfer prevented all of the vascular and renal effects induced by aldosterone. Adoptive transfer of CD4+CD25− cells exacerbated aldosterone effects except endothelial dysfunction and increases in media:lumen ratio of resistance arteries. Thus, Tregs suppress aldosterone-mediated vascular injury, in part through effects on innate and adaptive immunity, suggesting that aldosterone-induced vascular damage could be prevented by an immunomodulatory approach.
Diabetic Chronic Hyperglycemia and Cerebral pH Recovery Following Global Ischemia in Dogs

Background and Purpose We determined the effect of chronic hyperglycemia associated with diabetes on recovery of cerebral pH after global incomplete cerebral ischemia. Methods 31P magnetic resonance spectra and cerebral blood flow (radiolabeled microspheres) were measured in three groups of dogs: (1) chronic hyperglycemic diabetes (pancreatectomy followed by blood glucose >10 mmol/L for 3 months; n=8); (2) acute hyperglycemia during ischemia and reperfusion in nondiabetic dogs (n=8); and (3) normoglycemic controls (n=8). Incomplete ischemia was produced for 20 minutes by ventricular fluid infusion followed by 3 hours of reperfusion. Results Cerebral blood flow was reduced to approximately 5 mL/min per 100 g in all groups during ischemia with individual values ranging from 1 to 11 mL/min per 100 g. Blood flow returned to preischemic values by 30 minutes of reperfusion in the normoglycemia group but remained elevated during reperfusion in the acute hyperglycemia and diabetes groups. Cerebral pH at the end of ischemia was lower in acute hyperglycemia (5.94±0.05; ±SE) and diabetes (5.97±0.08) groups than in the normoglycemia group (6.27±0.02). However, recovery of pH through 90 minutes of reperfusion in the normoglycemia (7.08±0.05) and diabetes (7.00±0.04) groups was significantly greater than in the acute hyperglycemia group (6.74±0.11). Persistent acidosis in the acute hyperglycemia group was associated with a delayed reduction of cerebral oxygen consumption and high‐energy phosphates and with greater cortical water content and impairment of somatosensory evoked potentials compared with the diabetes group. Conclusions This study shows that cerebral pH recovery after global incomplete ischemia is improved in chronic hyperglycemia compared with acute hyperglycemia, despite similar decreases in blood flow and pH during ischemia and similar levels of blood flow and glucose levels during ischemia and reperfusion. In addition, cerebral pH recovery in chronic hyperglycemic dogs was not different from that in normoglycemic controls. These results suggest that an adaptation occurs with chronic hyperglycemia that improves recovery of cerebral pH during reperfusion and that is associated with better maintenance of energy metabolism and evoked potentials and with less edema over 3 hours of reperfusion compared with acute hyperglycemia. (Stroke. 1994;25:1449‐1455.)
Elliptic solutions of the defocusing NLS equation are stable

The stability of the stationary periodic solutions of the integrable (one-dimensional, cubic) defocusing nonlinear Schrödinger (NLS) equation is reasonably well understood, especially for solutions of small amplitude. In this paper, we exploit the integrability of the NLS equation to establish the spectral stability of all such stationary solutions, this time by explicitly computing the spectrum and the corresponding eigenfunctions associated with their linear stability problem. An additional argument using an appropriate Krein signature allows us to conclude the (nonlinear) orbital stability of all stationary solutions of the defocusing NLS equation with respect to so-called subharmonic perturbations: perturbations that have period equal to an integer multiple of the period of the amplitude of the solution. All results presented here are independent of the size of the amplitude of the solutions and apply equally to solutions with trivial and nontrivial phase profiles.
Ordered Array of Metal Particles on Semishell Separated with Ultrathin Oxide: Fabrication and SERS Properties

Metal particles in gap cavities provide an interesting system to achieve hybrid local surface plasmon modes for local field enhancement. Here, we demonstrate a relatively simple method to fabricate Ag nanoparticles positioned on Ag semishells separated by a thin (~5 nm) dielectric layer. The obtained structure can provide strong local electric field enhancement for surface-enhanced Raman scattering (SERS). The fabrication of the ordered array structure was realized by nanosphere self-assembly, atomic layer deposition, and metal thin-film dewetting. Numerical simulation proved that, compared to the conventional metal semishell arrays, the additional Ag particles introduce extra hot spots particularly in the valley regions between adjacent Ag semishells. As a result, the SERS enhancement factor of the metal semishell-based plasmonic structure could be further improved by an order of magnitude. The developed novel plasmonic structure also shows good potential for application in plasmon-enhanced solar water-splitting devices.
Hierarchical Activity Recognition Using Smart Watches and RGB-Depth Cameras

Human activity recognition is important for healthcare and lifestyle evaluation. In this paper, a novel method for activity recognition by jointly considering motion sensor data recorded by wearable smart watches and image data captured by RGB-Depth (RGB-D) cameras is presented. A normalized cross correlation based mapping method is implemented to establish association between motion sensor data with corresponding image data from the same person in multi-person situations. Further, to improve the performance and accuracy of recognition, a hierarchical structure embedded with an automatic group selection method is proposed. Through this method, if the number of activities to be classified is changed, the structure will be changed correspondingly without interaction. Our comparative experiments against the single data source and single layer methods have shown that our method is more accurate and robust.
Voltage-Controlled Floating Resistor Using DDCC

This paper presents a new simple configuration to realize the voltage-controlled floating resistor, which is suitable for integrated circuit implementation. The pro- posed resistor is composed of three main components: MOS transistor operating in the non-saturation region, DDCC, and MOS voltage divider. The MOS transistor operating in the non-saturation region is used to configure a floating linear resistor. The DDCC and the MOS tran- sistor voltage divider are used for canceling the nonlinear component term of MOS transistor in the non-saturation region to obtain a linear current/voltage relationship. The DDCC is employed to provide a simple summer of the circuit. This circuit offers an ease for realizing the voltage divider circuit and the temperature effect that includes in term of threshold voltage can be compensated. The pro- posed configuration employs only 16 MOS transistors. The performances of the proposed circuit are simulated with PSPICE to confirm the presented theory.
Estrogen carcinogenesis in breast cancer.

n this article, we review recent findings related to estrogen exposure and the risk of breast cancer, the mechanisms that may be involved, and the clinical implications of these findings. The weight of evidence indicates that exposure to estrogen is an important determinant of the risk of breast cancer. The mechanisms of carcinogenesis in the breast caused by estrogen include the metabolism of estrogen to genotoxic, mutagenic metabolites and the stimulation of tissue growth. Together, these processes cause initiation, promotion, and progression of carcinogenesis. Insight into the mechanisms of the causation of cancer by estrogen will identify determinants of susceptibility to breast cancer and new targets for prevention and therapeutic intervention.
Brand Loyalty in Hospitality Sector in India: A Case study of Indian Hotels in Goa-Kerala.

In general, perceived service quality seems to be positively related to customers' likelihood of remaining a loyal customer and their attitudes toward the service provider (Anton, Camarero, & Carrero, 2007; Bell, Auh & Smalley, 2005; Aydin & Ozer, 2005). Suhartanto (2011) reported that there are numerous studies, mostly conducted in developed countries, which examined service quality as the determinant of customers' brand loyalty in the hotel industry. This prompted the researchers to investigate empirically how and to what degree customers' perceptions on service quality dimensions impact their hotel brand loyalty in developing country - India. Multiple regression analysis, on survey responses of the customers of 8 different four and five star hotels, reflected that customers' perceptions on tangibles, empathy and reliability contributed to fostering their loyalty with hotel brands. Implications for practitioners and future researchers were discussed, too.
Measurement of Software Maintainability Using a Fuzzy Model

Software maintenance is a task that every development group has to face when the software is delivered to the customers' site, installed and is operational. The time spent and effort required for keeping software operational consumes about 40-70% of cost of entire life cycle. This study proposes a four parameter integrated measure of software maintainability using a fuzzy model. The study also includes empirical data of maintenance time of projects which has been used to validate the proposed model.
Design and Implementation of Parallel Batch-mode Neural Network on Parallel Virtual Machine

Artificial Neural Network (ANN) computation process is a parallel computation process that should run using parallel processor. Budget constraint drives ANN implementation using sequential processor with sequential programming algorithm. Applying specific algorithm to existing sequential-computers offer emulation of ANN computation processes executes in parallel mode. This method can be applied by building a virtual parallel machine that featuring parallel-processing environment. This machine consist of many sequential machine operated in concurrent mode utilize operating system capability to manage inter-process communication and resource computation process, although this will increase complexity of the implementation of ANN learning algorithm process. This paper will describe the adaptation and development of sequential algorithm of feedforward learning into parallel programming algorithm on a virtual parallel machine based on PVM (Parallel Virtual Machine [5]) that was developed by Oak Ridge National Laboratory. PVM combines UNIX software calls to present a collection of high-level subroutines that allow the user to communicate between processes; synchronize processes; spawn, and kill processes on various machines using message passing construct. These routines are all combined in a user library, linked with user source code, before execution. Some modifications are made to adapt PVM into ITB network environment.
Estimation of Right Atrial Pressure from the Inspiratory Collapse of the Inferior Vena cava in Pediatric Patients

Objective Paucity of data exists between mean right atrial pressure (RAP) and inferior vena cava (IVC) size and collapsibility in pediatric patients with congenital heart disease. Methods In a prospective study, fifty consecutive pediatric patients with different congenital heart diseases who had right side cardiac catheterization were studied, comparing right atrial pressure with simultaneous M-mode echocardiographic measurement of inferior vena cava diameter. Mean age of the patients was 4.96±4.05 years (30 male and 20 female). Patients were categorized into two groups according to their right atrial pressure (RAP) as measured by cardiac catheterization: Group 1 (40 patients) were those with mean RAP <8 mmHg and group 2 (10 patients) who had a mean RAP≥ 8 mmHg. Findings In M-mode echocardiography IVC size was statistically different (P=0.004 and 0.009) in inspiration and expiration in the two groups. Mean RAP was estimated to be>8 mmHg when IVC diameter in inspiration was >3.6 (sensitivity of 100%, specificity of 47.5%, +LR=1.9) or if IVC diameter was >6mm in expiration (sensitivity of 70%, specificity of 87%, +LR=4.67). Conclusion This study showed that measurement of IVC size in inspiration and expiration can be used as a reliable method for estimation of mean right atrial pressure.
The economics of telemedicine

Despite a large number of telemedicine trials, little information has been published on its economic costs and benefits. Most telemedicine initiatives have been funded as special projects which were not subject to normal budgeting procedures. A framework is needed to enable decision makers in health-care delivery to analyse the potential effects of telemedicine applications on the activities, functions and roles of the different parties involved, such as hospitals, consultants, general practitioners, nurses and other health-care workers, and the different costs and benefits for each of these groups. In many countries, telemedicine projects have been introduced within special closed groups, such as in prisons, for military or space operations, or in disaster zones. However, some commercial services providing international telemedicine have also begun. Telemedicine costs are strongly related to patient volumes, but issues such as protocols for reimbursement need to be resolved before large-scale implementation is likely to be achieved.
Mature miRNA identification via the use of a Naive Bayes classifier

MicroRNAs (miRNAs) are small single stranded RNAs, on average 22nt long, generated from endogenous hairpin-shaped transcripts with post-transcriptional activity. Although many computational methods are currently available for identifying miRNA genes in the genomes of various species, very few algorithms can accurately predict the functional part of the miRNA gene, namely the mature miRNA. We introduce a computational method that uses a Naive Bayes classifier to identify mature miRNA candidates based on sequence and secondary structure information of the miRNA precursor. Specifically, for each mature miRNA, we generate a set of negative examples of equal length on the respective precursor(s). The true and negative sets are then used to estimate probability distributions for sequence composition and secondary structure on each position along the RNA. The distance between these distributions is estimated using the symmetric Kullback-Leibler metric. The positions at which the two distributions differ significantly and consistently over a 10-fold cross-validation procedure are used as features for training the Naive Bayes classifier. A total of 15 classifiers were trained with true positive and negative examples from human and mouse. A performance of 76% sensitivity and 65% specificity was achieved using a consensus averaging over a 10-fold cross-validation procedure. Our findings suggest that position specific sequence and structure information combined with a simple Bayes classifier achieve a good performance on the challenging task of mature miRNA identification.
Semantic-based Dynamic Service Composition and Adaptation

This paper presents a semantic-based dynamic service composition and adaptation framework. It explores WSMO, a starting point for the semantic-based composer construction using backward-chaining reasoning. WSMO and the orchestration procedure proposed by this model are described, together with the architecture of the proposed framework for semantic-based dynamic service composition and adaptation. The backward-chaining composer and Mule-based executor, are essential parts of the proposed framework. Its usage is illustrated by examples.
Drug hypersensitivity caused by alteration of the MHC-presented self-peptide repertoire

Idiosyncratic adverse drug reactions are unpredictable, dose-independent and potentially life threatening; this makes them a major factor contributing to the cost and uncertainty of drug development. Clinical data suggest that many such reactions involve immune mechanisms, and genetic association studies have identified strong linkages between drug hypersensitivity reactions to several drugs and specific HLA alleles. One of the strongest such genetic associations found has been for the antiviral drug abacavir, which causes severe adverse reactions exclusively in patients expressing the HLA molecular variant B*57:01. Abacavir adverse reactions were recently shown to be driven by drug-specific activation of cytokine-producing, cytotoxic CD8+ T cells that required HLA-B*57:01 molecules for their function; however, the mechanism by which abacavir induces this pathologic T-cell response remains unclear. Here we show that abacavir can bind within the F pocket of the peptide-binding groove of HLA-B*57:01, thereby altering its specificity. This provides an explanation for HLA-linked idiosyncratic adverse drug reactions, namely that drugs can alter the repertoire of self-peptides presented to T cells, thus causing the equivalent of an alloreactive T-cell response. Indeed, we identified specific self-peptides that are presented only in the presence of abacavir and that were recognized by T cells of hypersensitive patients. The assays that we have established can be applied to test additional compounds with suspected HLA-linked hypersensitivities in vitro. Where successful, these assays could speed up the discovery and mechanistic understanding of HLA-linked hypersensitivities, and guide the development of safer drugs.