Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive heat pump and battery storage demand side energy management

An adaptive linear model predictive control strategy is introduced for the problem of demand side energy management, involving a photovoltaic device, a battery, and a heat pump. Moreover, the heating influence of solar radiation via the glass house effect is considered. Global sunlight radiation intensity and the outside temperature are updated by weather forecast data. The identification is carried out after adapting to a time frame witch sufficiently homogeneous weather. In this way, in spite of the linearity an increase in precision and cost reduction of up to 46% is achieved. It is validated for an open and closed loop version of the MPC problem using real data of the ambient temperature and the global radiation.
Medical Heed Sensors

Up to date progress in embedded computing systems have led to the appearance of wireless sensor networks, consisting of small, battery-powered "motes" with restricted computation and radio communication competences. Sensor networks authorize data congregation and computation to be severely embedded in the physical environment. This technology has the prospective to blow the deliverance and study of resuscitative heed by allowing imperative cryptogram to be routinely collected and completely incorporated into the patient care/heed record and utilized for real-time triage, association with hospital records, and enduring surveillance. Medical Agents (Chemical, Biological, and radiological) can mess about with the activities of medical care suppliers, patient samples/trials, and drug management. This fallouts/leads in a shut down of all medical heed/care, leave-taking patients at a foremost jeopardy. The scientific defy is to build up sensors to identify and keep an eye on any infringements in the medical care environment prior to hazard to life occurs. Wireless devices have to communicate multimedia data such as patient information, laboratory results/trials, prescriptions, and EKG and X-ray reports. The consistency, protection, and truthfulness of these wireless devices and sensors can influence the aptness entree to information for patient monitoring/supervision. Furthermore, data can be despoiled, computer information systems (I.S’s) can be unsuccessful, and communication networks may possibly practice denial of service attacks direct to absolute collapse of an appropriate patient care/heed. In this article, we confer protection and safety concerns in medical environment, and distinctiveness of sensors, the technology/expertise, categories and research issues/agenda’s in denial of service, smart antennas, fault tolerant authentication, privacy issues, and energy contemplations. A dialogue of sensors in patient rooms, wards/clinics, hospitals, and dimensions of safety and security is offered. The on hand devices for sensor and wireless communication are also briefly included.
Effect of feeding tree forages on productive performances on growing sheep

A research work was undertaken to evaluate the feeding effect of tree forages on performance of growing sheep. Twenty growing sheep (in 4 groups) were fed three different tree forage diets. Tree forages Melia azardirachta, Leucaena leucocephala and Artocarpus heterophyllus were supplied in three treatments except one consisted no tree forages which was considered as control. There were significant (p<0.05) differences among the animal groups in terms of total DM and ME intake, although there were no significant differences in the digestibility of DM, OM, CP and ADF. Feeding of tree forages had significant (p<0.05) effect on live weight gain of sheep. Animals fed with tree forage based diets significantly increased weight gain (60.70 and 50.70 g/d for L. leucocephala and A. heterophyllus, respectively) compared to that (45.66 g/d) of control group fed with silage. Feed conversion efficiency (kg feed/kg gain) also showed that animals fed with tree forage of L. leucocephala and M. azardirachta based diets were having significantly (p<0.05) higher efficiency (11.33 and 11.47, respectively ) compared to those of A. heterophyllus and control diet (13.77 and 13.33 , respectively ). The results of nitrogen balance of M. azardirachta and L. leucocephala tree forage had significantly (p<0.05) positive effect on the nitrogen retention in the body of the animals. Intake of all the tree forages was not similar which indicated that all of them were not accepted to the lamb in same level. So, diets with tree forages of L. leucocephala resulted better in terms of weight gain, digestibility and nitrogen balance compared to A. heterophyllu, M. azardirachta and silage (control). Asian J. Med. Biol. Res. December 2015, 1(3): 648-653
MODELLING OF AVERAGE EXHAUST POLLUTANT EMISSION INTENSITY ON A ROAD

Traffic is a major source of pollutant emission in cities. In order to evaluate the air quality in urban areas it is necessary to use appropriate traffic flow and exhaust emission models. In air quality studies, the common approach of constant average emission intensity is used for describing emission along a whole road i.e. one road – one linear source. This approach can not be used in case of analysing local air pollution caused by traffic on roads between intersections and on roads with input or outputs. In the paper a method of dividing road on several segments is presented. Each segment represents linear source of emission. The method enables modelling of exhaust pollutant emission intensity taking into account its local changes. The average speed of traffic flow and density of vehicles is obtained from microscopic traffic flow model. Next, average exhaust pollutant emission intensity is calculated using the average emission factor method (European models COPERT or INFRAS can be applied). Some calculation results are presented in the paper as well. The algorithm of dividing road on segments using microscopic traffic flow model presented in the paper is a solution which enables more precisely identification of regions in which the exhaust emission is high and the permissible concentration of vehicle exhaust pollutant can be exceed.
Estimating Mutual Information from Average Classification Error

Multivariate pattern analyses approaches in neuroimaging are fundamentally concerned with investigating the quantity and type of information processed by various regions of the human brain; typically, estimates of classification accuracy are used to quantify information. While a extensive and powerful library of methods can be applied to train and assess classifiers, it is not always clear how to use the resulting measures of classification performance to draw scientific conclusions: e.g. for the purpose of evaluating redundancy between brain regions. An additional confound for interpreting classification performance is the dependence of the error rate on the number and choice of distinct classes obtained for the classification task. In contrast, mutual information is a quantity defined independently of the experimental design, and has ideal properties for comparative analyses. Unfortunately, estimating the mutual information based on observations becomes statistically infeasible in high dimensions without some kind of assumption or prior. In this paper, we construct a novel classification-based estimator of mutual information based on high-dimensional asymptotics. We show that in a particular limiting regime, the mutual information is an invertible function of the expected k-class Bayes error. While the theory is based on a large-sample, high-dimensional limit, we demonstrate through simulations that our proposed estimator has superior performance to the alternatives in problems of moderate dimensionality.
Impact of familiarity and gender differences on the stigmatisation of children with mental illness, and their parents

The aim of this study is to investigate the impact of familiarity and gender differences on the stigmatisation of children with mental illness, and their parents. A total of 234 participants took part in a study to ascertain stigmatisation of children with mental illness, and parents who have a child with mental illness. This study measured the attitudes of participants who have different levels of familiarity with the mentally-ill people and compared the attitudes of these people based on gender. All participants completed self-reported questionnaires about their attitudes towards stigmatisation and their levels of familiarity with people with mental illness. The results indicated that participants with a lower level of familiarity tended to have a higher level of segregation from children with mental illness. Females have a higher level of sympathy for parents who have a child with mental illness.
Microspheres of insulin-Eudragit complex: Formulation, characterization and in vivo studies

Insulin, a hormonal drug for the management of diabetes mellitus has continued to attract attention of many researchers and pharmaceutical formulators for more than a decade. However, its low oral bioavailability due to the activities of intestinal enzymes restricts its route of administration to only the parenteral route. This study was designed to evaluate the capacity of mucoadhesive microspheres formulated with varying blends of Eudragit® RL 100 and Eudragit® RS 100 to protect insulin for oral administration. Microspheres containing varying blends of Eudragit® RL 100/RS100 loaded insulin was prepared by solvent evaporation method and were characterized in vitro and in vivo. Results showed that stable formulation with high encapsulation efficiency, positive zeta potential and high bioadhesion were obtained in all the formulations. In vitro release showed a maximum release of 9 and 87% release in pH 1.2 and 7.2, respectively. Single oral studies showed a decreased in blood glucose level comparably equal to that of subcutaneous (sc) administration. The results of this study indicate that insulin-loaded Eudragit RL100/RS100 microspheres could be a promising drug delivery system to improve oral absorption of insulin. Key words: Insulin, Eudragit®, microspheres, bioactivity, absorption.
Reduction of Linear Functional Systems using Fuhrmann's Equivalence

Functional systems arise in the treatment of systems of partial differential equations, delay-differential equations, multidimensional equations, etc. The problem of reducing a linear functional system to a system containing fewer equations and unknowns was first studied by Serre. Finding an equivalent presentation of a linear functional system containing fewer equations and fewer unknowns can generally simplify both the study of the structural properties of the linear functional system and of different numerical analysis issues, and it can sometimes help in solving the linear functional system. In this paper, Fuhrmann's equivalence is used to present a constructive result on the reduction of under-determined linear functional systems to a single equation involving a single unknown. This equivalence transformation has been studied by a number of authors and has been shown to play an important role in the theory of linear functional systems.
Bending the Cost Curve in Implementing Electronic Medical Record Systems: Lessons Learnt from Kenya

Through a CDC co-operative agreement, the Futures Group Kenya Health Management Information Systems (KE HMIS) project has been deploying electronic medical record (EMR) systems throughout Kenya. During 2013, our implementing team rolled out EMRs in 170 health facilities bringing the project closer to meeting the target of 300 deployments by 2015. With inherent challenges of setting up software systems coupled with limited resources, there is a need for innovative solutions to reduce the cost of EMR deployment1.
Antioxidant Composition and Functional Quality of Selected Horticultural and Cereal Crops in Indian Diet

The anti-oxidant activity of extracts from 38 vegetables, 28 fruits and 18 cereal crops were evaluated for their phenolic (TPH), flavonoids (TF) and antioxidant activity (AOX). Antioxidant activity mg/100g was evaluated using the in-vitro assay viz ferric reducing antioxidant activity power (FRAP), cupric antioxidant activity (CUPRAC) and 2,2-diphenyl picryl hydrazyl (DPPH) Large significant variation was observed (p<0.05) amongst fruits and between their varieties and content ranged from 40.68 to 1493.87 mg GAE/100g, respectively. Amongst fruits the highest phenolic content was observed in Aonla > Grape (Pusa Navrang) > Plum (Frontier) > Plum (Santa Rosa) > Grape (Black muscat) with phenolic values of 1493.87 > 669.25 > 453.66 > 458.69 > 333.56 mg GAE/100g respectively. Plums, grape, aonla and apple were amongst the fruits with maximum total flavonoids content ranging from (36.18-82.58 mg/100g). Vegetable like kachnar and drumstick had exceptionally high TPH of 760.45 and 150 mg GAE/100 mg followed by leafy vegetables (320.31-354.43 mg GAE/100g) and anthocyanin containing vegetables (90.672-447.23mg GAE/100g) respectively. Highest AOX (FRAP) was observed in black carrots followed by kachnar flowers dumar, beetroot and drumstick flowers. Coarse cereals, millets and beans displayed significantly (p<0.05) higher phenolics and flavonoids content than fruits and vegetables. Black gram followed by finger millet, pearl millet, kidney bean and black soyabean had the highest TPH ranging from 488.41, 394.4, 254.30 and 229.90 GAE/100g respectively. TF content ranged from 8.84-116.89 mg CE/100G. AOX in FRAP, DPPH and CUPRAC assays ranged from 2.31-8.29, 6.10-15.03 and 0.65-4.68 μmol TE/g. The results indicate that fruits, vegetables and cereals containing high phenolics may provide a source of dietary antioxidants.
Analysis of Genetic Diversity in Improved Varieties and Iranian Landraces of Alfalfa Using EST, POX, GOT and MDH Allozyme Markers

Genetic diversity of five improved varieties (Kaysari, Kadi, Ranger, Mesmir, Sea-River) and seven Iranian landraces (Gharayonje, Amozeynadin, Rahnani, Tazekand, Shazand, Hamedani, Yazdi) of alfalfa were assessed using Esterase (EST), Peroxidase (POX), Glutamate Oxaloacetate Transaminase (GOT) and Malate Dehydrogerase (MDH). GOT and MDH were monomorphic, whereas EST and POX showed polymorphic banding patterns. In total, four allozyme loci were detected for EST and POX. There were no significant differences between improved varieties and landraces for allelic frequency in the polymorphic markers. However, average heterozygosity in landraces (0.623) was higher than that of improved varieties (0.594). Genetic distance among populations was less than 0.02. FST of landraces versus improved varieties was 0.003 showing no differentiation based on the studied marker systems. The value of FIS was about 0.089, which indicated that inbreeding effect was larger than the genetic drift in alfalfa. Applying test showed that Hamedani was significantly different from nine varieties and Shazand from seven varieties. Based on cluster analysis, alfalfa landraces and improved varieties were not arranged in separate groups. This means that there were not appreciable differences between these groups for allozyme markers
Comparison of the spatial pattern of trees obtained by ALS based forest inventory techniques.

Abstract The spatial pattern of trees in a forest can be defined as the locations of the trees in relation to each other. The spatial arrangement of a point (e.g. tree) pattern may be random (Poisson), clustered or regular. In this study the spatial pattern of trees was determined at the plot level by using L function, which is a square root transformation of Ripley's K function. The spatial pattern of tree was summarized into three classes: regular, random and clustered. The study was carried out with 79 sample plots located in a managed forest area in eastern Finland. Tree maps were produced with the individual tree detection (ITD) and semi-individual tree detection (Semi-ITD) and spatial patterns of trees were calculated from the tree coordinates. The spatial pattern of trees was also predicted directly by using patch metrics calculated from the canopy height model as explanatory variables (AREA). The low resolution airborne laser scanning (ALS) data was used in the AREA and the high resolution data in the ITD and Semi-ITD. The Kappa value for the ITD was almost zero, which indicates virtually random classification. The AREA and Semi-ITD methods were clearly more accurate than the ITD. Kappa values for the Semi-ITD and AREA were 0.34 and 0.24, respectively, which nevertheless cannot be considered to be very good. However, determining the spatial pattern of trees by ALS is somewhat unexplored field of study. It should be studied how well the spatial pattern of trees can be determined in different type of forests.
A Global Knowledge Medium as a Virtual Community: The NetAcademy Concept

Taking up the ideas of the ancient Greek concept of Academia, the"NetAcademy" is aiming at providing a knowledge medium to aid in the creation, integration, reviewing and dissemination of domain-specific knowledge in the scientific community. In pursuit of these goals it is taking full advantage of the unique characteristics and potential of the Internet medium. the NetAcademy is an existing web information system (WIS) which was developed in order to support the building of virtual scientific communities for different research fields.
Taxonomy for Privacy Policies of Social Networks Sites

Social networking sites (SNSs) are becoming increasingly popular on the Web. Sharing personal information in these networks can be dangerous, considering that malicious users can get access to this information and use them for purposes other than the original. Although SNSs typically provide tools for users to set who can access their shared data, this access restriction only applies to network users and not for third parties and the social network itself. In this paper, we present both a mechanism to enhance privacy in SNSs and taxonomy for classifying SNSs privacy policies. We combine and extend two taxonomies of privacy, unifying them to classify SNSs privacy policies and also the aforemen-tioned mechanism. We evaluated the taxonomy classifying six SNSs privacy policies and the mechanism, presenting the results and our findings about the classification.
Evaluation of serum c-peptide levels in type 2 diabetics in Punjabi population

Background: Diabetes mellitus is a chronic metabolic and endocrine disorder characterized by chronic hyperglycemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action or both. It is a major cause of mortality and morbidity worldwide. Human insulin and c-peptide are synthesized as a single polypeptide chain known as Proinsulin in the pancreatic beta cells. Serum insulin measurement gives a wrong value of insulin secretion, because insulin after its secretion into the portal vein, passes through the liver where approximately 50% of the delivered insulin is extracted. The measurement of C-peptide, thus provides a better index of endogenous insulin production and pancreatic beta cell function than insulin measurements. Methods: The present study was conducted on 100 adult patients of type 2 diabetes mellitus presenting in OPD and emergency or admitted in Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar. Type 1 diabetic patients, pregnant females with diabetes, patients presenting with acute infections, septicaemia, patients with acute or chronic pancreatitis, patients with pancreatic carcinoma were excluded from the study. In this study C-Peptide levels were estimated by DRG C-peptide ELISA method. Results: In our study, 38% patients had adequate insulin reserve (Normal C-peptide levels). Only 2% patients had poor insulin reserve (C-peptide levels below normal). 60% patients had c peptide levels more than normal, indicating insulin resistance. Increase in fasting c-peptide levels were associated with increased fasting plasma glucose (due to insulin resistance). A positive correlation exists in our study with r value of 0.523. Conclusions: As majority of patients with elevated FBS and fasting c-peptide were obese, our study infers that obese are more insulin resistant than non-obese. Since c-peptide levels assess the endogenous insulin reserve, it will also be helpful to alter the treatment modality based on it. So, routine c-peptide testing should be done in patients with poor glycaemic control to modify treatment modality accordingly.
Single Nucleotide Polymorphisms in PON1 Gene and their Relation with PON1 Activity in Vokkaliga Population of Mysore, South India

Abstract The cardio protective functions of HDL are attributed to the HDL-associated proteins like Paraoxonase 1 (PON1). PON1 is associated with HDL through a N-terminal signal peptide. HDL-associated PON1 alone is cardio protective. Indians have normal HDL levels and yet a high risk of cardiovascular diseases. Hence, the presence of polymorphisms in the promoter region and first exon of PON1 were investigated in 256 individuals to find out whether the polymorphisms could be the cause of the high risk. Out of these 256 individuals, 195 were from Vokkaliga community and the rest were from other communities. Whole blood was collected, plasma and cells were separated. Plasma was used for determination of PON1 activity and for lipid analysis. Cells were used for DNA extraction.DNA was sequenced from -1246 to +203 of the PON1 gene. Nine single nucleotide polymorphisms(SNPs) were identified of which three were new SNPs, two of which were in the 5’ flanking region of the putative mRNA for the protein but none in the first exon. Our results show that the low active PON1 phenotype was predominant in the Vokkaliga population.
An examination of physical and non-physical abuse as correlates of depression and self-esteem in battered women

; Depression and low self-esteem are two of. the most common p.sychologic. al symptomoldgy presenting iri female . victims of domestic violence The purpose of this.stuciy^'^ : was to empirically . investigate the type of abuse . viGtims . experience and it's links to their psychological distresb. Women ranging in age. from 19-63 (n =30) were recruited from three. : domestic violence shelters', to complete ay questionnaire packet. It was hypothe$ized that women who were ivictims of non-physical . yiolence were more ;■ likel.y to experience low self-esteem rather . than depression. In victims who experienced physical abuse, there would be a greater prevalence of ■ depression . compared to low; ■ . ■ l self-esteem. A Pearson product moment:was. conducted, but failed to significantly support 'the'hypothesis'. The . data' revealed that the women in the sample experienced twice as much non-physical abuse than physical abuse. Physical abuse and non-physical abuse were highly correlated. Depression and low self-esteem were highly correlated. This research indicates . that clinical intervention programs utilized by domestic violence shelters and community agencies would benefit from incorporating similar self-report assessments into, their, . treatment
Optical alignment of parabolic trough modules

The future diffusion of the concentrating solar power (CSP) technology [1] strongly depends on the plant cost, which is certainly related to the solar-radiation concentration efficiency on the heat collection element (HCE). Although both structure-design and installation-procedure are conceived to ensure a good efficiency just soon after the assembling, suitable methods and instruments for the in-situ confirmation of the optical alignment are demanding [2,3]. In particular, in the case of parabolic-trough drafts, it has to be verified if: 1) the HCE is set accordingly to the torque tube and 2) the facet mirrors are shaped and aligned correctly enough to ensure a satisfactory intercept factor (IF); in the case of insufficient compliance, precise indications for fixing the problem have to be quickly available in a simple way.