Miracle-dz/UniFAR-FTUs huggingface dataset:
Binary Surfactant System for Preparation of Nano-Emulsion of Herbal Oil Mixtures

International Journal of Advanced Science and Engineering www.mahendrapublications. com ABSTRACT: In the present study, Nanoemulsions of neem oil and pine oil using a binary surfactant system were prepared and tested their antibacterial properties. A polysorbate-type nonionic surfactant and alcohol ethoxylatesurfactant (Galaxy MW-259) were used in different proportions to obtain stable nanoemulsions at the lowest possible droplet size. The emulsification process variables such as ratio of alcohol ethoxylatesurfactant to polysorbate-type nonionic surfactant, surfactant concentration, ratio of Neem oil to pine oil, oil weight fraction and sonication time were studied. The optimal variables include the ratio of alcohol ethoxylatesurfactant to polysorbate-type non-ionic surfactant of 80:20, surfactant concentration of 4%, ratio of Neem oil to pine oil of 80:20, oil weight fraction of 20% and 20 min of sonication time at 40% of the applied power. Nano-emulsions were found to be very stable with emulsion droplet size around 25-30 nm. The traditional method and probe sonicator methods are used for the preparation of oil in water Nano-emulsion of Neem oil, pine oil, a non-ionic binary surfactant system is used as an emulsifier. This newly developed nanoemulsion provides better antimicrobial, anti-bacterial and anti-mosquito repellent properties into the treated fabrics.
Introduction to Laser‐Induced Transfer and Other Associated Processes

Digital manufacturing emerges as a new production paradigm that is transforming the future of the manufacturing industry on both the small and the large scale [1]. Despite that this new fabrication methodology is still far from being completely consolidated, there is little doubt now that the trend toward digitization is unstoppable and that almost no industrial field will remain immune to its influence in the next years. Thanks to the capabilities of the present-day computers and CAD software, as well as to unprecedented advances in serial production technologies, digital manufacturing makes possible a truly fast transition from an idea to its realization. This integrated approach provides in turn a new concept with a high degree of flexibility in that it allows to easily incorporate design changes into the final product. All these benefits have enabled digital manufacturing in such diverse industries as electronics, energy harvesting, packaging, decoration, textile manufacturing, medical instrumentation, or regenerative medicine. Most digital manufacturing technologies are in fact “direct-writing” technologies, that is, they allow processing materials in a serial manner following a pattern previously recorded as a digital file [2]. The direct-writing approach makes patterning possible with high resolution and control in the flexible way just described. These technologies can be either subtractive, such as laser and water jet cutting, or additive, such as stereolithography and inkjet printing. Furthermore, they are sometimes assisted by other techniques that, instead of removing or adding new material, simply modify some of the properties of an already manufactured product, also in a digital way; laser sintering and laser curing are good examples of this.
Effect of matrix ductility on fatigue strength of unidirectional jute spun yarns impregnated with biodegradable plastics

Natural fiber-reinforced composites are carbon-neutral materials that are anticipated for use as an alternative to glass fiber-reinforced plastics. This study investigated the effects of matrix ductility on the fatigue strength of unidirectional jute spun yarns impregnated with biodegradable plastics. Polylactic acid (PLA) and polybutylene succinate (PBS) were used for the matrix. PLA is brittle, but it is widely used as a matrix of green composites. Because PBS has much higher ductility than that of PLA, it can be expected to have higher fatigue strength when subjected to the same strain amplitude as PLA. Fatigue tests were conducted with maximum stress set to 40–90% of the tensile strength. The stress ratio was set as 0.1. Results show that the matrix ductility strongly affects the fatigue strength and the fatigue mechanism of the composite. A matrix with better ductility was effective to improve fatigue strength.
Toward a social policy for health.

Reform of the medical care system in the United States is now a political and economic priority. In the current debate, the terms “health care” and “medical care” are often used interchangeably, reflecting a cultural view that they are synonymous. As a result, health care reform is viewed primarily in medical terms. “Health care” and “medical care,” however, are not synonyms. Health care permeates all aspects of daily life. It centers on the prevention of illness. Health care includes social elements such as good housing and sanitation, a safe work environment, stable interpersonal relationships, sufficient income, and education. Medical care, .
Modified development process of component-based software engineering

Component-based software engineering (CBSE) is a branch of software engineering, the priority of which is the separation of concerns in respect of the wide-ranging functionality available throughout a given software system. CBSE emphasizes on building system by reusing high quality configurable software components. This reduces its development cost as well as time-to-market and ensures higher reliability, better maintainability and quality by exploiting reusability. In the traditional approach, when a software system is going to be developed, the implementation has to be done from scratch. With the advent of Object-Oriented Technology (OOT), reusable software components have become an indispensable part of programming knowledge. In addition to those classes and methods included in standard libraries of programming languages, such as the Java API library, many reusable software components are developed by software development organizations specifically for reuse or repackaged from previously developed systems. We propose here a modified development process of CBSE and present our modified development process of CBSE for increasing reusability in different abstraction levels: architecture level, modular design level and framework level. This modified development process of CBSE change the reusability approach into two different approaches composition-based approach and generation-based. Lastly on the basis of these two approaches we divide component reuse into two different processes. First one is process of development of reusable components which is composition-based approach and second one is process of development with reusable components which is based on the generation-based according X model with the benefits of reusable components in programming
Information Theory and Radar Waveform Design

The use of information theory to design waveforms for the measurement of extended radar targets exhibiting resonance phenomena is investigated. The target impulse response is introduced to model target scattering behavior. Two radar waveform design problems with constraints on waveform energy and duration are then solved. In the first, a deterministic target impulse response is used to design waveform/receiver-filter pairs for the optimal detection of extended targets in additive noise. In the second, a random target impulse response is used to design waveforms that maximize the mutual information between a target ensemble and the received signal in additive Gaussian noise. The two solutions are contrasted to show the difference between the characteristics of waveforms for extended target detection and information extraction. The optimal target detection solution places as much energy as possible in the largest target scattering mode under the imposed constraints on waveform duration and energy. The optimal information extraction solution distributes the energy among the target scattering modes in order to maximize the mutual information between the target ensemble and the received radar waveform.
BioHDD: a dataset for studying biometric identification on heavily degraded data

Substantial efforts have been put into bridging the gap between biometrics and visual surveillance, in order to develop automata able to recognise human beings ‘in the wild’. This study focuses on biometric recognition in extremely degraded data, and its main contributions are three-fold: (1) announce the availability of an annotated dataset that contains high quality mugshots of 101 subjects, and large sets of probes degraded extremely by 10 different noise factors; (2) report the results of a mimicked watchlist identification scheme: an online survey was conducted, where participants were asked to perform positive and negative identification of probes against the enrolled identities. Along with their answers, volunteers had to provide the major reasons that sustained their responses, which enabled the authors to perceive the kind of features that are most frequently associated with successful/failed human identification processes. As main conclusions, the authors observed that humans rely greatly on shape information and holistic features. Otherwise, colour and texture-based features are almost disregarded by humans; (3) finally, the authors give evidence that the positive human identification on such extremely degraded data might be unreliable, whereas negative identification might constitute an interesting alternative for such cases.
Primary structure of the peptidoglycan from the unicellular cyanobacterium Synechocystis sp. strain PCC 6714

A peptidoglycan fraction free of non-peptidoglycan components was isolated from the unicellular cyanobacterium Synechocystis sp. strain PCC 6714. Hydrofluoric acid treatment (48%, 0 degrees C, 48 h) cleaved off from the peptidoglycan non-peptidoglycan glucosamine, mannosamine, and mannose. The purified peptidoglycan consists of N-acetyl muramic acid, N-acetyl glucosamine, L-alanine, D-alanine, D-glutamic acid, and meso-diaminopimelic acid in approximately equimolar amounts. At least partial amidation of carboxy groups in the peptide subunits is indicated. Peptide analyses and 2,4-dinitrophenyl studies of partial acid hydrolysates revealed the structure of the Synechocystis sp. strain PCC 6714 peptidoglycan to belong to the A1 gamma type (direct cross-linkage) of peptidoglycan classification. The degree of cross-linkage is about 56% and thus is in the range of that found in gram-positive bacteria. Some of the peptide units are present as tripeptides lacking the carboxy-terminal D-alanine.
Determinants and burden of chronic kidney disease in a high-risk population in Korea: results from a cross-sectional study

Background/Aims: This study aimed to investigate the prevalence of chronic kidney disease (CKD) and associated risk factors in a high-risk population in Korea. Methods: A total of 6,045 participants aged ≥ 65 years (mean age, 73.0 ± 5.5) with diabetes or hypertension were enrolled. Participants were screened for CKD, which was defined as the presence of albuminuria (urine albumin-to-creatinine ratio ≥ 30 mg/g) or an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. Results: The prevalence of CKD was 39.6% (women, 40.3%; men, 38.4%). Albuminuria was detected in 22.6% of participants, whereas eGFR < 60 mL/min/1.73 m2 was found in 24.6% of participants. The prevalence of CKD by stage was 4.4% for stage 1, 10.4% for stage 2, 23.4% for stage 3, 0.9% for stage 4, and 0.3% for stage 5. Older age, concomitant diabetes and hypertension, higher body mass index, higher systolic and diastolic blood pressure, and higher hemoglobin A1c levels were independently associated with the presence of CKD in multivariate-adjusted analyses that included with age, sex, body mass index, hypertension, diabetes, and smoking. Conclusions: The prevalence of CKD was very high in the present high-risk Korean population. Our results suggest that a screening method for early detection of CKD in high-risk populations is needed in Korea.
Copy-number variations in EYS: a significant event in the appearance of arRP.

PURPOSE Autosomal recessive retinitis pigmentosa (arRP) has recently been associated with mutations in a novel gene, EYS, which is a major gene for this disease. All published mutations so far are based on conventional PCR and are not adequate to identify midsized DNA rearrangements. This study was conducted to establish the prevalence of copy-number variations (CNVs) in the EYS gene in a cohort of arRP patients, including individuals in whom only one pathogenic change was detected by PCR-based sequencing. METHODS A multiple ligation-dependent probe amplification (MLPA) was used for the molecular genetic analyses of CNVs by a novel EYS-specific kit. PCR-based direct sequencing was used in families where a pathogenic deletion or duplication was identified in one allele. Bioinformatics analyses was undertaken to study the effect of the mutations on protein structure and function. RESULTS Six novel pathogenic CNVs were identified. Also, the presence of four midsized deletions was confirmed in patients previously identified. Midsized genomic rearrangements in EYS are disease causing in ∼4% of the families with no reported mutations and constitute the second pathogenic variation in ∼15% of cases where a mutation has been detected by direct sequencing. CONCLUSIONS This is the first report of a systematic CNV screening of EYS gene in a cohort of arRP patients. Results suggest that midsized genomic rearrangements in EYS gene would be a common event in the appearance of RP phenotype. An efficient and cost-effective strategy validating a novel MLPA kit as a complementary diagnostic method for EYS pathogenic evaluation has been demonstrated.
Chronic Blood Pressure Reductions and Increments in Plasma Nitric Oxide Bioavailability

Abstract This study analyzed the effects of 12 weeks of resistance training (RT) on resting blood pressure (BP) and plasma levels of nitric oxide metabolites (NOx) in pre- and hypertensive older women, and evaluated the relationship between these 2 parameters. Thirty-five older women (68.2±5.7 years, 70.0±14.4 kg, 157.1±6.4 cm, 28.3±5.0 kg.m−2) were randomly allocated into a training group (TG; n=17), which performed a 12-week RT program, and a control group (CG; n=18), which did not perform any physical exercise. Anthropometry, one repetition maximum (1RM), body composition analysis by dual energy X-ray absorptiometry, blood samples, and resting BP were measured. There was a significant interaction for all variables analyzed, in which reductions of systolic BP (−8.5%), diastolic BP (−8.4%), and mean arterial pressure (−8.5%), and increases of NOx (+35.2%) were observed only for the TG. Moreover, a negative and significant correlation was observed (P<0.05; r=−0.63) between NOx and systolic BP in the TG. Results suggest that a 12-week RT program is sufficient to induce reductions in BP in pre- and hypertensive older women and that the decrease in systolic BP is associated with an increase in plasma NOx concentration.
Integrating Multiple Learning Components through Markov Logic

This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the perspective of correct representation, learning, and reasoning. Our goal is to create an integrated intelligent system that can combine observed facts, hand-written rules, learned rules, and learned classifiers to perform joint learning and reasoning. Our solution, which has been implemented in the CALO system, integrates multiple learning components with a Markov Logic inference engine, so that the components can benefit from each other's predictions. We introduce two designs of the learning and reasoning layer in CALO: the MPE Architecture and the Marginal Probability Architecture. The architectures, interfaces, and algorithms employed in our two designs are described, followed by experimental evaluations of the performance of the two designs. We show that by integrating multiple learning components through Markov Logic, the performance of the system can be improved and that the Marginal Probability Architecture performs better than the MPE Architecture.
A sensor and video based ontology for activity recognition in smart environments

Activity recognition is used in a wide range of applications including healthcare and security. In a smart environment activity recognition can be used to monitor and support the activities of a user. There have been a range of methods used in activity recognition including sensor-based approaches, vision-based approaches and ontological approaches. This paper presents a novel approach to activity recognition in a smart home environment which combines sensor and video data through an ontological framework. The ontology describes the relationships and interactions between activities, the user, objects, sensors and video data.
A Survey of Frequency and Voltage Control Ancillary Services—Part I: Technical Features

This two-part paper surveys the frequency and voltage control ancillary services in power systems from various parts of the world. In this first part, the nomenclature used to describe active power reserves across 11 systems is first reviewed in order to facilitate the comparison of frequency control ancillary services. The essential technical features of frequency and voltage control ancillary services are then described. Finally, the technical requirements adopted in eight jurisdictions (North America, continental Europe, Germany, France, Spain, the Netherlands, Belgium, and Great Britain) are compared. The companion paper surveys the economic features of these ancillary services
Selective regional alterations in the content or distribution of neuronal and glial cytoskeletal proteins in brain of rats chronically exposed to 2,5-hexanedione

Hexane is used in many industrial processes and induces neurotoxic effects in the central and peripheral nervous system. Hexane is metabolized to 2,5-hexanedione, which is the neurotoxic agent. Continued exposure to hexane or 2,5-hexanedione results in loss of sensorial and motor function in arms and legs and to alterations in axonal neurofilament proteins. The effects of 2,5-hexanedione on different cytoskeletal proteins in different brain areas have not been studied in detail. The aim of this work was to study the effects of chronic exposure of rats to 2,5-hexanedione (1% in the drinking water) on tubulin, neurofilament NF-L, microtubule-associated protein MAP-2, and on glial fibrillary acidic protein (GFAP), in cerebellum, hippocampus and cerebral cortex. The amount of each protein was determined by immunoblotting and its distribution was analysed by immunohistochemistry. The results obtained show a regional selectivity in the 2,5-hexanedione effects on cytoskeletal proteins. NF-L content decreased in all brain areas. MAP-2 decreased in cerebellum and hippocampus and tubulin decreased only in cerebellum. GFAP decreased only in cerebral cortex, but its distribution was altered in cerebellum, with increased content in the granular layer and decreased content in the molecular layer. The area most affected was the cerebellum, where all the proteins analysed were altered. These cytoskeletal proteins alterations may impair the transfer of information involved in the regulation by the cerebellum of motor function and contribute to the altered motor performance in rats exposed to 2,5-hexanedione and humans exposed to hexane.
A Middleware System between WEB and Database Servers

This paper aims at improving web server performance by establishing a middleware layer between web and database servers, which minimizes the overload on the database server. A middleware system has been developed as a service mainly to improve the performance. This system manages connection accesses in a way that would result in reducing the overload on the database server. In addition to the connection management, this system acts as an object-oriented model for best utilization of operating system resources. A web developer can use this Service Broker to improve web server performance. Keywords—Database server, Improve performance, Middleware, Web server.
Generating Msg's by Binrank for Scaling in Dynamic Authority Based Search

BinRank is a system that approximates object rank results by utilizing a hybrid approach inspired by materialized views in traditional query processing. Number of relatively small subsets of the data graph are materialized in such a way that any keyword query can be answered by running ObjectRank on only one of the subgraphs. BinRank generates the subgraphs by partitioning all the terms in the corpus based on their co-occurrence, executing ObjectRank for each partition using the terms to generate a set of random walk starting points, and keeping only those objects that receive non-negligible scores. The intuition is that a subgraph that contains all objects and links relevant to a set of related terms should have all the information needed to rank objects with respect to one of these terms. We demonstrate that BinRank can achieve subsecond query execution time on the English Wikipedia data set, while producing high-quality search results that closely approximate the results of ObjectRank on the original graph. The Wikipedia link graph contains about 108 edges, which is at least two orders of magnitude larger than what prior state of the art dynamic authority-based search systems have been able to demonstrate. Experimental evaluation investigates the trade-off between query execution time, quality of the results, and storage requirements of BinRank.
Divide-and-approximate: a novel constraint push strategy for iceberg cube mining

The iceberg cube mining computes all cells v, corresponding to GROUP BY partitions, that satisfy a given constraint on aggregated behaviors of the tuples in a GROUP BY partition. The number of cells often is so large that the result cannot be realistically searched without pushing the constraint into the search. Previous works have pushed antimonotone and monotone constraints. However, many useful constraints are neither antimonotone nor monotone. We consider a general class of aggregate constraints of the form f(v)/spl theta//spl sigma/, where f is an arithmetic function of SQL-like aggregates and /spl theta/ is one of <, /spl les/, /spl ges/ >. We propose a novel pushing technique, called divide-and-approximate, to push such constraints. The idea is to recursively divide the search space and approximate the given constraint using antimonotone or monotone constraints in subspaces. This technique applies to a class called separable constraints, which properly contains all constraints built by an arithmetic function f of all SQL aggregates.
Analytical study of high performance flip-flop circuits based on performance measurements

In designing synchronous circuits and memory elements, Flip-flops (FF) play an integral role. In the present era, the demand of area efficient, lesser delay, and faster devices are the major concern. This paper present the comparative study of Flip Flops in terms of area and delay. The problem of device size is very dominant today because the demand for small device size along with lesser number of transistors is increasing. And also for implementing a circuit, comparatively less number of transistors are preferred in comparison to conventionally used number of transistors, as it results in lesser number of switching activities. And smaller delay is preferred as it results in faster device along with faster response time of device. Hence, in this paper, the comparative study of various flip flops using The Clocked CMOS (C2MOS) register, True Single-Phase Clocked Register (TSPCR), Self-Gating Flip Flop, Static Flip Flop is done. The reduction in the delay is done by properly changing the size of transistor and alteration in the value of voltage. The circuits are simulated and correlated using 45nm technology.