Miracle-dz/UniFAR-FTUs huggingface dataset:
Propositions of coordinating nurses for the implementation of the 5S Program in the Primary Health Care

The aim was to collectively build an implementation proposal with the coordinating nurses for the 5S Program in the units of Primary Health Care. An intervention study, conducted with 12 nurses from the city Vale do Paranhana, Rio Grande do Sul. The study was conducted between August and October of 2018, created from three sessions of focus groups guided by themes, with a mean duration of an hour. Thematic content analysis was used. The participants considered important to apply the 5S in the Primary Health Care; however, they reported a lack of physical space and time to continue the actions as implementation challenges. Nurse’s responsibility to manage work was identified, and a strategical plan was built together with nurses to implement the Program. This study contributes to the quality improvement of services by planning and implementing the 5S Program in the Primary Health Care, and it gives visibility to the organizational demands of work processes. Descriptors: Primary Health Care; Nursing; Health Services Administration; Health Management. RESUMO Objetivou-se construir coletivamente com enfermeiros coordenadores uma proposta de implantação do Programa 5S nas unidades de Atenção Primária à Saúde. Trata-se de uma pesquisa-intervenção, realizada com 12 enfermeiros de um município do Vale do Paranhana, Rio Grande do Sul. O estudo ocorreu de agosto a outubro de 2018, a partir de três sessões de grupos focais guiadas por temas, com duração média de uma hora. Foi utilizada análise de conteúdo temática. Os participantes consideram importante a aplicabilidade do Programa 5S na Atenção Primária à Saúde, entretanto, destacam como dificuldade na aplicação deste a falta de espaço físico e de tempo para continuidade das ações. Foi evidenciada a responsabilidade do enfermeiro no trabalho gerencial e construiu-se conjuntamente um planejamento estratégico de implantação do Programa. Este estudo contribui para a melhoria da qualidade dos serviços a partir do planejamento da implantação do Programa 5S na Atenção Primária à Saúde e dá visibilidade às demandas organizacionais dos processos de trabalho. Descritores: Atenção Primária à Saúde; Enfermagem; Administração de Serviços de Saúde; Gestão em Saúde. 1City Hall of Igrejinha – Igrejinha (RS), Brazil. E-mail: tacykerschner@gmail.com 2Santa Catarina State University – Chapecó (SC), Brazil. E-mail: clabohrer@gmail.com 3Integrated Colleges of Taquara –Taquara (RS), Brazil. E-mail: vilmacfsantos@gmail.com 4Mato Grosso do Sul Federal University – Cuaibá (MT), Brazil. E-mail: gimersonerick.ufmt@gmail.com How to cite this article: Kerschner TVK, Silva CB, Santos VCF, Ferreira GE. Propositions of coordinating nurses for the implementation of the 5S Program in the primary health care. Rev. Eletr. Enferm. [Internet]. 2020 [cited on: _________]; 22:57943. Available at: https://doi.org/10.5216/ree.v22. 57943. Received on: 03/29/2019. Accepted on: 02/15/2020. Available on: 05/30/2020.
THE PERFORMANCE MANAGEMENT PRACTICE IN HUNGARY, SERBIA AND SLOVAKIA BASED ON CRANET 2014/15 RESEARCH RESULTS

Performance management (PM) as a system through which organizations set work goals, determine performance standards, assign and evaluate work, provide performance feedback, determine training and development needs and distribute rewards becomes more and more important in the context of strategic human resource management (SHRM). The aim of this process is to improve the performances of individuals, teams and the organization. To achieve it, PM has to be a continual, flexible and forward looking process. From the SHRM aspects it is very important to align human resources with business strategy and determine performance indicators to measure the impact of HR strategy. The aim of this paper is to analyze the performance management practice of companies from Hungary, Serbia and Slovakia based on the international Cranet research results from the research period 2014/15. After the sample review of 685 analyzed companies, a special attention will be paid to the existence of a formal appraisal system for managers and professional staff, the person who is responsible for providing data for appraisal and for the HRM activities in which the PM data are used. Beside the details of PM of individuals, we will analyze to what extent the performances of the HRM department are evaluated, too. The obtained results will provide country-specific knowledge about the performance management practice in the selected 3 countries of Central and Eastern European region.
Depressed elderly population and social support

Nearly one-fifth of the elderly people in the rural areas of Allahabad were suffering from depression. Female sex, lack of or poor social and family engagement in the form of not being involved in leisure time activities, not meeting relatives and friends on a regular basis, not having good relationship with family members, and not being cared for by family members, especially during illness, are the important predictors of depression among elderly. Appropriate implementation of national program and screening and management at the primary level is need of the hour for reducing the burden of depression among rural elderly. Apart from medical management, innovative interventions focused on improving the social and family engagement of elderly people with special focus on elderly females may go a long way in addressing the depression.
Multiple Chemikalien-Sensitivität ( MCS ) und ähnliche Symptom-komplexe

Die Multiple Chemikalien-Sensitivität ist als Krankheitsbild nach wie vor nicht einheitlich definiert, zudem bestehen weitreichende Überschneidungen mit anderen umweltassoziierten Erkrankungen wie CFS oder SBS. Die diagnostischen Möglichkeiten sind aus vielerlei Gründen relativ eingeschränkt und daher die Diagnose oft nur als Ausschlussdiagnose zu stellen. Zu beachten ist, dass die psychosomatische Komponente bei den genannten Krankheitsbildern oft eine wesentliche Rolle spielt. Der Wildwuchs an unkonventionellen Diagnoseund Heilmethoden ist auf dem Gebiet der umweltassoziierten Syndrome daher beträchtlich, denn das Erklärungsmodell »krank durch Umweltgifte« fällt bei Patienten mit der Bereitschaft zur Externalisierung von Gesundheitsproblemen schnell auf fruchtbaren Boden – meist nicht unbedingt zum Wohle des Patienten.
Hydrodynamic Sequential Injection Spectrophotometric System for Determination of Manganese in Soil

ABSTRACT A novel hydrodynamic sequential injection (HSI) spectrophotometric system for determination of manganese was developed. It is based on the complexation of Mn(II) with formaldoxime in basic solution (pH ≥ 10) to produce product that could be monitored spectrophotometrically at 450 nm. Based on the HSI concept, both sample and reagents were aspirated through solenoid valves to fill a defined volumes conduit between 3-way connectors connected in series, forming stacked zones of solutions similar to those in normal SI. The concept was successfully demonstrated for manganese determination. A linear calibration graph over a range of 0.5 to 30 mg L−1 Mn(II) with a detection limit of 0.2 mg L−1 was obtained. Relative standard deviations for 11 replicated injections of 5 and 20 mg Mn L−1 were 5.6% and 2.4%, respectively. A sample throughput of 45 h−1 was achieved. The results from investigation of exchangeable manganese in soil samples by the developed method were found to be in good agreement with the results obtained by a batch spectrophotometric method, despite the proposed system employed simpler and more cost-effective devices/instruments, had higher degrees of automation with full microcontroller control of the operation, and consumed smaller amounts of chemicals (250 µL each of hydroxylamine, sample, and formaldoxime solutions and 2.5 mL of buffer carrier solution per operation cycle).
eIF2B conformation and assembly state regulate the integrated stress response

The integrated stress response (ISR) is activated by phosphorylation of the translation initiation factor eIF2 in response to various stress conditions. Phosphorylated eIF2 (eIF2-P) inhibits eIF2’s nucleotide exchange factor eIF2B, a two-fold symmetric heterodecamer assembled from subcomplexes. Here, we monitor and manipulate eIF2B assembly in vitro and in vivo. In the absence of eIF2B’s α-subunit, the ISR is induced because unassembled eIF2B tetramer subcomplexes accumulate in cells. Upon addition of the small-molecule ISR inhibitor ISRIB, eIF2B tetramers assemble into active octamers. Surprisingly, ISRIB inhibits the ISR even in the context of fully assembled eIF2B decamers, revealing an allosteric communication between the physically distant eIF2, eIF2-P, and ISRIB binding sites. Cryo-EM structures suggest a rocking motion in eIF2B that couples these binding sites. eIF2-P binding converts eIF2B decamers into ‘conjoined tetramers’ with greatly diminished activity. Thus, ISRIB’s effects in disease models could arise from eIF2B decamer stabilization, allosteric modulation, or both.
Activated Carbon Addition to a Submerged Anaerobic Membrane Bioreactor: Effect on Performance, Transmembrane Pressure, and Flux

This study examined the effect of the addition of activated carbon to three, 3 L submerged anaerobic membrane bioreactors SAMBRs in terms of chemical oxygen demand COD removal, flux, and transmembrane pressure TMP. The feed was a synthetic substrate with a COD of 460 mg L 1 , with one reactor run as a control, one with 1.7 g L 1 of powdered activated carbon PAC, and the third with 1.7 g L 1 of granular activated carbon GAC. While COD removal was high in all reactors 90%, in comparison to the control SAMBR1, the average COD removal in SAMBR2 PAC increased by 22.4%, while SAMBR3 with GAC was not significantly better. Because PAC has a significantly greater surface area per mass than GAC, it is probable that this difference was primarily due to the greater absorbance of fine colloidal particles and high molecular weight organics onto the carbon surface. These effects manifested themselves by SAMBR2 having lower TMPs and higher fluxes than both SAMBR3 and SAMBR1. Volatile fatty acids in the effluent from all three SAMBRs were extremely low 18 mg L 1 , even during step changes in hydraulic retention tune, and most of the soluble COD in the effluent was soluble microbial products. Biochemical methane potential assays showed that biomass in the SAMBRs was less active than the seed sludge, and it appears that the addition of activated carbon to Reactors SAMBR2 and SAMBR3 provided a solid support for growth, and hence reduced floc breakage.
A Passive Permanent Magnetic Bearing With Increased Axial Lift Relative to Radial Stiffness

Four different magnet bearing configurations, with varying number of combined radially and axially magnetized rings, are studied both experimentally and using the modeling framework MagTense. First, the optimal vertical position of the radially magnetized ring is determined using the numerical model. Then, the model is validated using experimental data. Finally, we show that a bearing where the rotor and the stator each consist of a single ring of axially magnetized magnets and a single ring of radially magnetized magnets has the smallest radial force per axial lift force at an axial air gap of 1 mm. For this bearing, the ratio of the radial force per axial lift here is 0.383 times that of the same bearing without the radially magnetized ring.
Dynamic Decision-Making under Rolling Admissions: Evidence from US Law School Applications

Admission processes in many higher-education markets are inherently dynamic. We study the timing of students’ applications and schools’ admissions under rolling admissions using unique data on US law schools. Our results show that law schools employ nonstationary admission standards within application cycles: applications submitted earlier enjoy a considerable advantage relative to later applications.
Hydrogen Selective NH2‐MIL‐53(Al) MOF Membranes with High Permeability

Hydrogen‐based energy is a promising renewable and clean resource. Thus, hydrogen selective microporous membranes with high performance and high stability are demanded. Novel NH2‐MIL‐53(Al) membranes are evaluated for hydrogen separation for this goal. Continuous NH2‐MIL‐53(Al) membranes have been prepared successfully on macroporous glass frit discs assisted with colloidal seeds. The gas sorption ability of NH2‐MIL‐53(Al) materials is studied by gas adsorption measurement. The isosteric heats of adsorption in a sequence of CO2 > N2 > CH4 ≈ H2 indicates different interactions between NH2‐MIL‐53(Al) framework and these gases. As‐prepared membranes are measured by single and binary gas permeation at different temperatures. The results of singe gas permeation show a decreasing permeance in an order of H2 > CH4 > N2 > CO2, suggesting that the diffusion and adsorption properties make significant contributions in the gas permeation through the membrane. In binary gas permeation, the NH2‐MIL‐53(Al) membrane shows high selectivity for H2 with separation factors of 20.7, 23.9 and 30.9 at room temperature (288 K) for H2 over CH4, N2 and CO2, respectively. In comparison to single gas permeation, a slightly higher separation factor is obtained due to the competitive adsorption effect between the gases in the porous MOF membrane. Additionally, the NH2‐MIL‐53(Al) membrane exhibits very high permeance for H2 in the mixtures separation (above 1.5 × 10−6 mol m−2 s−1 Pa−1) due to its large cavity, resulting in a very high separation power. The details of the temperature effect on the permeances of H2 over other gases are investigated from 288 to 353 K. The supported NH2‐MIL‐53(Al) membranes with high hydrogen separation power possess high stability, resistance to cracking, temperature cycling and show high reproducibility, necessary for the potential application to hydrogen recycling.
Hop Scotch versus Hip Hop : Questions of Youth Culture , and Identity in a Postmodern world

Culture here signifies the particular ways social groups live out and make sense of their given circumstances and conditions of life. It can be defined as the set of practices, ideologies and values from which different groups draw to make sense of their world. Culture can be constructed in local and global environments or both, glocalisation. For many youth engagement in Hip Hop is a way of connecting with a global youth culture and appropriating through forms of hybridisation, as glocal subculture. Exploring the role of youth subcultures, such as Hip Hop, in terms of how they are consumed, appropriated and reproduced by youth are useful for understanding the lifeworld of the postmodern youth. Hip Hop also presents a unique opportunity to explore postmodern youth culture and its link to globalisation, new technologies and marketisation. Additionally, it creates a fascinating case study for unpacking how race, gender, class and culture are being is being reconstituted by youth in a postmodern world.
A N E FFICIENT D ETECTION OF S TRUCTURAL S IMILARITY IN M AMMOGRAMS USING S UPPORT V ECTOR M ACHINE (SVM) CLASSIFIER

— One of the greatest threats conquer among women is the breast cancer and it has second highest incident value . According to the survey of national cancer institute more than 20% of women affected by breast cancer every year and has a highest impact value. Mammogram is the best screening tool to detect breast cancer and gives best accuracy than clinical pathological identification. Mammogram considerably reduces the false prediction rate. In Proposed Method, combined Mean and Median filter is used to smooth image and region based segmentation is used to partition the image in order to get the information from the image and then feature are extracted using Local Binary Pattern (LBP). Finally Support Vector Machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms are used to analyze data and recognize the patterns. The SVM classifier classifies the image into Malignant, benign images. Maximum classification accuracy of this method is 88.8%.
Characterizing the Manx Candidate A/2018 V3

Manx objects approach the inner solar system on long-period comet (LPC) orbits with the consequent high inbound velocities, but unlike comets, Manxes display very little to no activity even near perihelion. This suggests that they may have formed in circumstances different from typical LPCs; moreover, this lack of significant activity also renders them difficult to detect at large distances. Thus, analyzing their physical properties can help constrain models of solar system formation as well as sharpen detection methods for those classified as NEOs. Here, we focus on the Manx candidate A/2018 V3 as part of a larger effort to characterize Manxes as a whole. This particular object was observed to be inactive even at its perihelion at q = 1.34 au in 2019 September. Its spectral reflectivity is consistent with typical organic-rich comet surfaces with colors of g′−r′=0.67±0.02 , r′−i′=0.26±0.02 , and r′−z′=0.45±0.02 , corresponding to a spectral reflectivity slope of 10.6 ± 0.9%/100 nm. A least-squares fit of our constructed light curve to the observational data yields an average nucleus radius of ≈2 km assuming an albedo of 0.04. This is consistent with the value measured from NEOWISE. A surface brightness analysis for data taken 2020 July 13 indicated possible low activity (≲0.68 g s−1), but not enough to lift optically significant amounts of dust. Finally, we discuss Manxes as a constraint on solar system dynamical models as well as their implications for planetary defense.
Incidence of canine parvovirus type 2c in a puppy with haemorrhagic gastroenteritis in Tamil Nadu, India

Canine parvovirus enteritis is caused by canine parvovirus -2 (CPV-2), which is highly contagious and often fatal disease, characterized by vomiting, fowl smelling bloody diarrhoea and myocarditis in young dogs. In the present study, a total of 150 faecal and blood samples were collected from dogs with the symptoms of haemorrhagic gastroenteritis from Madras Veterinary College Teaching Hospital (MVCTH), Chennai to study the molecular epidemiology and haemato-biochemical changes in CPV-2 infected dogs respectively. Seventy one (47.33 per cent) dogs were positive for CPV-2 by PCR assay. Strain specific assay reveal CPV-2a and CPV-2c variants were recorded in 70 and 01 dogs respectively. Incidence of CPV-2c is the first report in Tamil Nadu. DNA sequencing was done for 8 PCR positive samples, out of which three were characterized as CPV-2c, indicating that this CPV type 2c is currently circulating in India.
Automatic Speech Recognition and Text-to-Speech

Understanding spoken language, or at least transcribing the words into writing, is one of the earliest goals of computer language processing. In fact, speech processing predates the computer by many decades! The first machine that recognized speech was a toy from the 1920s. “Radio Rex”, shown to the right, was a celluloid dog that moved (by means of a spring) when the spring was released by 500 Hz acoustic energy. Since 500 Hz is roughly the first formant of the vowel [eh] in “Rex”, Rex seemed to come when he was called (David, Jr. and Selfridge, 1962).
A NOVEL CLASSIFICATION TECHNIQUE BASED INTRUSION DETECTION SYSTEM FOR SCADA NETWORK

-The challenging task in the research area of network security is to detect and identify the attackers in the network. Intrusion detection system is used to protect the network from attackers and used to block the unauthorized access to network. The existing intrusion detection system has many drawbacks that it can detect only the known attacks and can produce false alarms due to their unpredictable behaviors of the network. To overcome this problem, Enhanced Markov Model (EMM) and Weight Vector Machine (WVM) are proposed to identify and classify the attacks from the Supervisory Control and Data Acquisition (SCADA) network. In this paper attack occurred in the power system dataset is used for analysis. During preprocessing process the relays are segregated from the dataset as S1, S2, S3, and S4. The details of the time, location, date, log report, and load condition are stored in each relay. Then Boyer String (BS) model is proposed to perform the operation of string matching. The WVM is used to identify the known and unknown attacks of the SCADA network. The main objective of this paper is to train the data manually for unknown attacks, to reduce the features and to classify the attacks based on the best feature selection. Experimental results show the better performance in terms of the parameters such as False Acceptance Rate (FAR), False Rejection Rate (FRR), Error rate, detection accuracy rate, sensitivity, specificity and recall.
Straight Through Grouping for Recommender System

In this paper, a new classification approach in recommender system is presented. First, we propose a co-classification of a data set to identify natural groups of similar objects. Then, we perform with a mechanism for the extraction process of these groups. The results are remarkable, especially for large scales data that requires more pre-treatment organizational evolutionary resources. This innovative method seems to give efficient and accurate grouping and recommendations .
Learning Local Advantage Functions for Generalizable Graph Optimizations

Machine learning compilers rely on making optimized decisions in order to generate efﬁcient code for a given computation graph. Many of these decision making processes can be formulated as graph optimization problems. The solution to these graph optimization problems is typically computed based on human designed heuristics. Learning/search-based methods have been recently investigated to improve upon or remove the need of human designed heuristics. However, existing methods that can reliably provide high quality solutions require iterative evaluations on real hardware. The evaluations can be costly especially for large graphs, making these methods infeasible to be deployed in production. To reduce or eliminate the evaluation cost, learning graph optimization strategies that can generalize across graphs is desirable. In this work, we propose learning local advantage functions for generalizable compiler graph optimizations. The learned model can be trained ofﬂine with supervised learning on massive amount of training data and then used to guide the search of optimal decisions on previously unseen graphs. We demonstrate the effectiveness of our approach on the operation fusion task and discuss several challenges we encountered in practice.