Miracle-dz/UniFAR-FTUs huggingface dataset:
Provider-staff discrepancies in reported immunization knowledge and practices.

BACKGROUND The purpose of the study was to compare immunization-relevant knowledge, certainty about knowledge, self-efficacy, vested interest, and reported practices of providers and clinical staff in the same clinics. METHODS A valid and reliable instrument measuring the aforementioned issues was developed and administered to a sample of 50 providers and 60 members of the clinical staff. RESULTS Providers were significantly more knowledgeable than staff (P < 0.001); however, they were not more certain about their knowledge (P = 0.52) nor were they more confident in their capability to properly immunize all children in their practice (P = 0.10). Providers reported lower vested interest in immunizations than clinical staff (P < 0.05). Both groups were equally likely to immunize a child with a cold. Providers were less likely to defer needed immunizations for a 15-month-old child, and they were more likely to administer multiple injections to an 18-month-old (both P < 0.05). Providers were more likely than staff to immunize during acute and chronic illness visits (both P < 0.001), and both groups were equally likely to immunize during preventive visits. CONCLUSIONS Discrepancies in reported immunization practices between providers and staff may be a barrier to full immunization.
Institutional quality in attracting foreign direct investment to small countries

Institutional quality (IQ) has been proven by many studies as generating positive impact to economic development, including via luring more foreign direct investment (FDI) inflows. However, the inconsistent reality relating to FDI inflows and IQ of the host countries, especially in small countries has led this study to re-examine the effectiveness of IQ in promoting FDI inflows. Hence, selecting small countries in four regions located around four large countries, namely Brazil, Russia, India and China (BRIC) as a case study, results confirmed that the effectiveness of IQ is gradually eroded if IQ in BRIC is also relatively improved.
Antihypertensive Therapy with MK 4211: Angiotensin II‐Renin Relationships to Evaluate Efficacy of Converting Enzyme Blockade

Nineteen hypertensive patients were treated with increasing doses of the new angiotensin-converting enzyme inhibitor MK 421. Twenty milligrams orally reduced blood pressure from 180/112 ± 6.8/3.6 (mean ± SEM) to 160/100 ± 6.5/3.3 mm Hg (p < 0.005) while heart rate increased from 75 ± 2 to 87 ± 3 beats/min (p < 0.005). Plasma converting enzyme activity was still markedly reduced 24h following 2.5. 5, 10, or 20 mg MK 421 p.o. (p < 0.001). In nine patients treated with 20 mg b.i. d. for up to 10 months, blood pressure was controlled, with the association of hydrochlorothiazide 50 mg q.d. in five. However, 12 to 16 h following the preceding drug administration, plasma angiotensin II and aldosterone were back to base-line levels. Analysis of plasma angiotensin II-renin relationships strongly suggests that converting enzyme blockade is not complete even 4 h after 20 mg MK 421 and starts to wear off already at 12 h. Thus, MK 421 20 mg taken orally twice daily, effectively reduces blood pressure, but does not constantly suppress plasma angiotensin II and aldosterone. Whether its long duration of action makes once daily administration possible has not yet been established.
Nanoscale “Quantum” Islands on Metal Substrates: Microscopy Studies and Electronic Structure Analyses

Confinement of electrons can occur in metal islands or in continuous films grown heteroepitaxially upon a substrate of a different metal or on a metallic alloy. Associated quantum size effects (QSE) can produce a significant height-dependence of the surface free energy for nanoscale thicknesses of up to 10–20 layers. This may suffice to induce height selection during film growth. Scanning STM analysis has revealed remarkable flat-topped or mesa-like island and film morphologies in various systems. We discuss in detail observations of QSE and associated film growth behavior for Pb/Cu(111), Ag/Fe(100), and Cu/fcc-Fe/Cu(100) [A/B or A/B/A], and for Ag/NiAl(110) with brief comments offered for Fe/Cu3Au(001) [A/BC binary alloys]. We also describe these issues for Ag/5-fold i-Al-Pd-Mn and Bi/5-fold i-Al-Cu-Fe [A/BCD ternary icosohedral quasicrystals]. Electronic structure theory analysis, either at the level of simple free electron gas models or more sophisticated Density Functional Theory calculations, can provide insight into the QSE-mediated thermodynamic driving force underlying height selection.
A Study on EEG in Brain Computer Interface

A brain-computer interface (BCI) is the hardware and software system for communications that directly link between computer and human brain also it is used to translate brain activity signals into control signals for external devices. BCI research is to give correspondences capabilities to extremely disabled people who are completely paralyzed or ‘secured’ by neurological neuromuscular issue, for example amyotrophic parallel sclerosis, brain stem stroke, or spinal cord injury. It has been studied the BCI system, looking at the different types of BCI. General Terms Documentation
Private Extensions to the Session Initiation Protocol (SIP) for Asserted Identity within Trusted Networks

This document describes private extensions to the Session Initiation Protocol (SIP) that enable a network of trusted SIP servers to assert the identity of authenticated users, and the application of existing privacy mechanisms to the identity problem. The use of these extensions is only applicable inside an administrative domain with previously agreed-upon policies for generation, transport and usage of such information. This document does NOT offer a general privacy or identity model suitable for use between different trust domains, or use in the Internet at large.
String Vector based AHC as Approach to Word Clustering

In this research, we propose the string vector based AHC (Agglomerative Hierarchical Clustering) algorithm as the approach to the word clustering. In the previous works on text clustering, it was successful to encode texts into string vectors by improving the performance of text clustering; it provided the motivation of doing this research. In this research, we encode words into string vectors, define the semantic operation on string vectors, and modify the AHC algorithm into its string vector based version. As the benefits from this research, we expect the improved performance and more compact representations of words. Hence, the goal of this research is to implement the word clustering system with the benefits.
Study on the Space-Time Characteristics of Domestic Terrorist Activities Based on Social Network Analysis

This article focuses on the terrorist attacks, using social network analysis to study domestic terrorist activities. We have collected the text data of recent 30 years of domestic violence and terrorism in the World Terrorist Database legal district authoritative websites. The three elements like event, time and location are extracted for research. We used social network analysis software UCIET to build a multi-networks model of domestic terrorist activities, and adopt the meta-network decomposition method to decompose the multimode network into "time-location, time-incident, incident-location" 2-mode network, and converted it into a 1-mode network through rows and columns. Through the quantitative analysis of the centrality index of each subnetwork, and integrate of the two graphs and geographic information knowledge, we analyzed the characteristics of domestic terrorist activities from different perspectives. The result shows that the domestic terrorist activities clearly show the trend of spreading in large and medium-sized cities, which are vulnerable to the security of border areas, and the frequency of incidents on the timeline is wavy. These characteristics provide some practical significance for the estimate of terrorist activities and the evolution of the security situation.
Mining Frequent Item Sets Using Map Reduce Paradigm

In Text categorization techniques like Text classification or clustering, finding frequent item sets is an acquainted method in the current research trends. Even though finding frequent item sets using Apriori algorithm is a widespread method, later DHP, partitioning, sampling, DIC, Eclat, FP-growth, H-mine algorithms were shown better performance than Apriori in standalone systems. In real scenario, as the data over the internet is expanding regularly, the unstructured data documents are scaling up and the existing computing resources in a single machine may not be sufficient to support the big data in text mining process. In order to handle big data, we need to parallelize the execution of the text mining process. Recently, Hadoop implements a computational paradigm named MapReduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In addition, it provides a distributed file system that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster and enables the applications to work with thousands of computation-independent computers and petabytes of data. In this paper, we present about the characteristics of map reduce paradigm and shows the experimental results of finding frequent items using map reduce paradigm.
Cachaça sob uma Perspectiva Histórica, Cultural e Simbólica

Buscou-se, neste ensaio teórico, compreender como se deu o processo de institucionalização da cachaça no Brasil em relação, especificamente, à história de produção e de inserção mercadológica, destacando os efeitos sociais e culturais ao longo do tempo. Percebeu-se que a bebida existe desde o Brasil Colônia, mas que, apenas nos últimos anos, o setor de cachaça tem sido organizado e reconhecido institucionalmente. Apesar disso, os produtores têm encontrado muitos desafios para se regularizar e padronizar o processo produtivo de acordo com as exigências do atual contexto político e sociocultural.
3D Vision-Based Local Path Planning System of a Humanoid Robot for Obstacle Avoidance

This paper addresses the vision based local path planning system for obstacle avoidance. To handle the obstacles which exist beyond the field of view (FOV), we propose a Panoramic Environment Map (PEM) using the MDGHM-SIFT algorithm. Moreover, we propose a Complexity Measure (CM) and Fuzzy logic-based Avoidance Motion Selection (FAMS) system to enable a humanoid robot to automatically decide its own direction and walking motion when avoiding an obstacle. The CM provides automation in deciding the direction of avoidance, whereas the FAMS system chooses the avoidance path and walking motion, based on environment conditions such as the size of the obstacle and the available space around it. The proposed system was applied to a humanoid robot that we designed. The results of the experiment show that the proposed method can be effectively applied to decide the avoidance direction and the walking motion of a humanoid robot.
A new mineral policy development framework for Pakistan

Purpose The purpose of this paper is to develop a mineral policy development framework for Pakistan based on seven key elements derived from the gap analysis of Pakistan’s current framework with leading developing minerals-based economies. Pakistan is gifted with significant mineral resources that have the potential to lift its economy and bring prosperity to its citizens. For this to happen, Pakistan must formulate a mineral policy based on leading practices to attract mining investment for economic growth. Design/methodology/approach This paper develops a new mineral policy framework from the lessons derived from the gap analysis conducted in the first paper of this research. These lessons are called the “elements of development” which, after evaluation with the existing framework, will provide the suggested strategic fit measures for the formulation of the new mineral policy framework for Pakistan. Findings A new mineral policy framework is proposed based on seven key enablers, namely, institutional framework, stable political economy, legal framework, regulatory framework, fiscal framework, stakeholder participation and sustainable development. A new organisational structure of the Ministry is also proposed based on the generally accepted organisational structure of tiers, implementation and regulatory bodies. Practical implications The key constraints for Pakistan’s mineral sector are as follows: the sector is lacking an enabling institutional framework for efficient access to mineral resources and lacks an enabling fiscal and regulatory framework including secure mineral rights system for mining to enhance the economic attractiveness of the sector. Originality/value This paper presents original work on the development of a new mineral policy framework for Pakistan to extract maximum benefit from its mineral resources.
Frequency converter driven induction motor losses

Accurate measurement of power losses of high efficiency motors and converters is difficult and extra challenge is caused by pulse-width-modulated (PWM) signals. Soon, the converter-fed motors, converters, and power drive systems will get their own efficiency classifications. Also, the methods how the device losses shall be determined are given in corresponding standards. This paper presents 37 kW induction motor loss measurement results with sinusoidal and PWM supply. Five different commercial frequency converters are used to obtain single motor losses.
A New Perspective in Competitiveness for Business Education

Organizations are currently living through profound changes while dealing with the prevailing rate of information change and innovation. Alternative ways of educating organizations highlight the strategic importance of humanization in organizations. Humanization is the stabilizer of productivity and communities of practice (CoPs) – the tools which enable employees to act in this space. Organizations that nurture CoPs embrace learning, are sensitive, tolerant, and cooperate. CoPs are nurtured by cooperation while disregarding both competition and egotism. Strategic variables emerge in this context which leads to the paradigm shift focusing on trust, voluntary sharing, employees' selflessness, and shared leadership. Knowledge in an organization and within each employee is viewed as complementary and not a substitute or as an issue of contention. Knowledge sharing is a necessary condition to improve both organizational performance and its attractiveness. The importance of CoPs in this chapter focuses on the humanization perspective as CoPs promote learning in business contexts.
Investigation of Internet Banking Users' Perceptions and Factors Affecting Internet Banking Benchmarks

Increasing consumer needs in parallel with technological developments brought different demands with it. One of the activities to meet these developing and changing needs in the banking sector is the development and utilization of web-based applications. The main aim of the chapter is to approach the perceptions of internet banking customers and the factors that affect the adoption of internet banking. To explain the acceptance of internet banking in the study, the extended technology acceptance model, “UTAUT2,” which is called the most comprehensive of the technology acceptance models and the latest developed, has been applied and expanded by adding the perceived risk factor. A structural equation model (SEM) was used to analyze the collected data from the applied questionnaires. The results show that behavioral intention is significantly influenced by performance expectation and price value. However, perceived risk, social impact, effort anticipation, hedonic motivation has not been seen to have a significant effect on behavioral intentions.
A Residual-Based Test of the Null of Cointegration Against the Alternative of No Cointegration

This paper proposes a residual-based test of the null of cointegration using a structural single equation model. It is shown that the limiting distribution of the test statistic for cointegration can be made free of nuisance parameters when the cointegrating relation is efficiently estimated. The limiting distributions are given in terms of a mixture of a Brownian bridge and vector Brownian motion. It is also shown that this test is consistent. Critical values are given for standard, demeaned, and detrended cases. Combining results from our test for cointegration with results from the Phillips-Ouliaris test for no cointegration, we find that there is evidence of cointegration between real consumption and real disposable income over the postwar period.
Accurate cross-layer modelling and evaluation of IEEE 802.11e using a differentiated p-persistent CSMA protocol

With the extensive deployment of 802.11 wireless local area networks (WLANs) and the need for better quality of service (QoS), the 802.11e MAC with service differentiation was developed. In practical WLAN deployments, the capture effect has been shown to enhence the throughput performance of the network. Analysing the effect of fading and near–far effect on the performance of 802.11 is a fundamental consideration in practical situations since the wireless channels are error-prone. Developing an accurate closed form solution of the throughput/delay is a crucial task for the network planning and design. This thesis develops a physical/medium-access-control (PHY/MAC) cross-layer model to characterise the throughput and delay performance of WLANs in error-prone wireless environments. The developed model incorporates the capture effect and channel errors from the PHY-layer perspective, while from the MAC perspective the approach considers the QoS differentiated p-persistent CSMA protocol. This research develops PHY/MAC models that accurately calculate the saturated and non-saturated throughput/delay of p-persistent CSMA protocol with multiple traffic types which can be used to model 802.11e. The developed model expresses the saturated and non-saturated throughput/delay as a function of the number of terminals, packet error rates and capture threshold. The work shows that the PHY layer effects have a significant impact on the throughput/delay performance of WLANs and their dimensioning. The anomaly effect also has a significant impact on performance of 802.11 WLANs which affects the calculation of the network capacity during the network planning phase. This research develops an adaptive QoS differentiated p-persistent CSMA protocol with multirate capability that can be used to resolve the performance anomaly of 802.11 DCF and 802.11e EDCA. The developed models can be applied to the QoS differentiated systems such as 802.11e EDCA with significantly less complexity than Markovian models. The adaptive protocol improves the network capacity which leads to more efficient network deployments in terms of capacity, spectral efficiency and energy consumption.
[Risk factors of schizophrenia development in patients with amphetamines dependence and psychosis (amphetamine-induced psychosis and schizophrenia), and without psychosis].

AIM Amphetamine and its derivates can induce, usually after many intoxications, schizophrenia-like psychosis. These disorders appeared only in part patients with amphetamine dependence. Aim of the study was to establish prevalence of selective risk factors of schizophrenia development in amphetamine users: 1) with amphetamine-induced schizophrenia-like psychosis, 2) with schizophrenia, and 2) without psychotic symptoms. MATERIAL In the study 3 groups of subjects were included: 30 amphetamine users with amphetamine induced schizophrenia-like psychosis, 30 amphetamine users with schizophrenia and 30 amphetamine users without psychotic symptoms (37 female and 53 male in mean age = 17.78 years). METHODS Amphetamine dependence, schizophrenia and schizophrenia-like psychosis induced amphetamine were diagnosed according to ICD-10 criteria after at least 1 year of amphetamine abstinence. The next procedure was used: 1) Structured interview with subjects and their mothers/caregivers regarding: a) amphetamines use (duration of abuse, doses of psychoactive substance) b) family history of psychosis (especially schizophrenia) 2) The Questionnaire of Child Development for assessment of prevalence of selected risk factors of schizophrenia development 3) The Premorbid Adjustment Scale (Cannon--Spoor) for assessment of premorbid psychosocial functioning in thelast year before psychosis. CONCLUSIONS Amphetamines users with amphetamine-induced psychosis were more similar in prevalence of selective risk factors of schizophrenia development to subjects with schizophrenia and amphetamine dependence than to amphetamine users without psychosis. Amphetamine-induced psychosis developed more frequently in amphetamine users who used higher amphetamine doses and with familial history of psychosis.
Parental BMI and Childhood Undernutrition in India: An Assessment of Intrauterine Influence

OBJECTIVE: The objective of this study was to examine the influence of parental BMI on childhood undernutrition in India. METHODS: The study population was a nationally representative cross-sectional sample of singleton children (n = 15976) who were aged 0 to 59 months from the 2005–2006 Indian National Family Health Survey. Information was obtained by a face-to-face interview with the mother with a 94.5% response rate. Modified Poisson regression models that account for multistage survey design and sampling weights were applied to estimate the associations between parental BMI and childhood undernutrition. The outcome measures were child underweight, stunting, and wasting; parental BMI was the primary exposure. RESULTS: In mutually adjusted models, an increase in 1 unit of maternal BMI was associated with a lower relative risk (RR) for childhood undernutrition (underweight RR: 0.957 [95% confidence interval [CI]: 0.947–0.967]; stunting RR: 0.985 [95% CI: 0.977–0.993]; wasting RR: 0. 941 [95% CI: 0.926–0.958]). The association between paternal BMI and childhood undernutrition was similar to that observed for maternal BMI (underweight RR: 0.961 [95% CI: 0.951–0.971]; stunting RR: 0.986 [95% CI: 0.978–0.995]; wasting RR: 0.965 [95% CI: 0.947–0.982]). CONCLUSIONS: Similarity in the association between paternal/maternal BMI and childhood undernutrition suggests that intergenerational associations in nutritional status are not driven by maternal intrauterine influences.
New insights into genetic aspects of Alzheimer's disease

PREVIEW Given recent developments in the genetics of Alzheimer's disease and the intense anxiety about and public interest in this disorder, the pressure is on to develop strategies for predicting onset, detecting the disorder early, and improving accuracy of diagnosis. Although we have learned a great deal about the inheritance patterns of Alzheimer's disease and have identified several genes involved in the disorder, the contributions of that knowledge to clinical practice remain limited. In this article, Dr Blacker reviews the genetics of Alzheimer's disease and discusses potential tests, their role in diagnosis, early detection, and prediction of disease, and current recommendations for use.