Miracle-dz/UniFAR-FTUs huggingface dataset:
Vocational Education Voucher Delivery

This report describes the ongoing Technical and Vocational Vouchers Program (TVVP) in Kenya and provides early results from the intervention. Implementation began in 2008 with the recruitment of approximately 2,160 out-of-school youths (ranging in age from roughly 18 to 30). Study participants were drawn from the Kenya Life Panel Survey, an unusual on-going panel dataset of detailed educational, health, and cognitive information for over 7,000 adolescents in western Kenya. Of the 2,160 youths that applied to the TVVP, a random half were awarded a voucher for vocational training, while the other half served as the control group. Of the voucher winners, a random half were awarded a voucher that could only be used in public (government) institutions, while the other half received a voucher that could be used in either private or public institutions. The project also included a cross-cutting information intervention, which exposed a randomly selected half of all treatment and control individuals to information about the actual returns to vocational education. This report focuses on program take-up, the demand for vocational training and the impacts of the information intervention on institution and course selection, participant attendance, the short-term impacts of training on labor market expectations and outcomes for a representative subset of program participants, and training center characteristics. The report also provides some suggestive evidence on the supply-side impacts of the program. The vocational training vouchers and impact evaluation activities to date were primarily financed by the World Bank through the Bank-Netherlands Partnership Program (BNPP) and the Spanish Impact Evaluation Fund (SIEF), with additional assistance received for past or future evaluation activities from the World Bank’s Gender Action Plan (GAP), the International Growth Centre, the International Initiative for Impact Evaluation (3IE) / Global Development Network, and the National Institutes for Health. We are grateful to Shobhana Sosale for her encouragement, support, and useful comments and suggestions throughout this project. We are also grateful to David Evans, Markus Goldstein, Arianna Legovini and Michael Mills for their support. Lisa Chen, Lauren Falcao, Jonas Hjort, Maryam Janani, Andrew Fischer Lees, Jamie McCasland, Owen Ozier, Adina Rom and Sebastian Stumpner provided exceptional research, managerial, organizational, and implementation assistance. The project was implemented and managed in collaboration with Innovations for Poverty Action-Kenya (IPAK). We are grateful for the superb effort of the field staff led by Blastus Bwire and Benard Onyango, and the management and support staff at IPAK.
Implementing an SBIRT Pilot Utilizing Student-mediated Screenings and Brief Interventions

Background: Excessive alcohol use is linked to numerous morbidities, in addition to the enormous economic impact on healthcare. Screening, brief intervention, referral to treatment (SBIRT) is a proven, effective tool in reducing alcohol use; however it is severely underutilized due to barriers such as provider time constraints and lack of confidence. Numerous missed opportunities exist regarding screening and early intervention, which could significantly improve patient outcomes. An SBIRT pilot utilizing student-mediated brief interventions could serve to increase provider confidence and awareness, as well as overcome time constraint barriers. Purpose: The purpose is to implement an SBIRT pilot at a campus clinic, utilizing nurse practioner (NP) students to conduct universal alcohol screens and brief interventions (BI) as a means to overcome barriers to accepting an evidenced based practice. Methods: Intervention group (IG) of two providers were matched with NP students to perform screens and BI’s (n=111), while a comparison group (CG) of three providers conducted usual care (n=41). Single question screens were administered universally, followed by an AUDIT (Alcohol Use Disorders Identification Test) and BI for positive screens. A pre/post pilot provider attitude survey was administered to gauge provider acceptance. Results: Of 109 patients screened, 52% tested positive requiring a full AUDIT, 56% of AUDITS were positive requiring BI’s, 88% agreed to a BI, and 93% agreed to reduce alcohol intake. Post attitude survey revealed a 22% increase in provider acceptance. Chi square testing showed statistical significance, X2(1, N = 152) = 142.31, p < . 001. Conclusions: Utilizing students to perform universal screenings and BI’s is effective in implementing SBIRT while offering a sustainable option to overcome time constraint barriers and provider confidence as well as exposing misconceptions regarding patient acceptance.
Cortical and raphe GABAA, AMPA receptors and glial GLT-1 glutamate transporter contribute to the sustained antidepressant activity of ketamine

At sub-anaesthetic doses, ketamine, a non competitive N-methyl-d-aspartate (NMDA) receptor antagonist, has demonstrated remarkable and rapid antidepressant (AD) efficacy in patients with treatment-resistant depression (TRD). However, its mechanism of action of ketamine is not fully understood. Since comorbid depression and anxiety disorders often occur, GABAergic/inhibitory and glutamatergic/excitatory drug treatments may be co-administered in these patients. Information regarding this combination is critical to establish efficacy or treatment restrictions to maximize translation from animal models to TRD patients, effectiveness and safety. To assess the specific role of excitatory/inhibitory neurotransmission in the medial prefrontal cortex-raphe nuclei (mPFC-DRN) circuit in the sustained antidepressant-like activity (AD) of ketamine (at t24h post dose), AMPA-R antagonist (intra-DRN) and GABAA-R agonist (intra-mPFC) were co-administered with ketamine (intra-mPFC). Twenty-four hours later, responses in the forced swim test (FST) and neurochemical consequences on extracellular mPFC glutamate, GABA and 5-HT levels were measured in BALB/cJ mice. Intra-DRN NBQX prevented the sustained AD-like activity of ketamine evidenced by decreases in FST swimming duration and blunted cortical 5-HText and Gluext. Intra-mPFC muscimol blocked ketamine AD-like activity and its effects on cortical 5-HText. Moreover, a selective glutamate transporter GLT-1 inhibitor, dihydrokainic acid (DHK) locally perfused into the mPFC produced an AD-like activity at t24h associated with robust increases in mPFC 5-HText, Gluext and GABAext. Thus, the sustained AD-like activity of ketamine is triggered by AMPA-R activation in the DRN and 5-HT - glutamate release in the mPFC, but limited by GABAA-R activation - GABA release in the mPFC. The local blockade of GLT-1 in the mPFC also mimics the rapid responses of ketamine, thus highlighting the role of neuronal-glial adaptation in these effects. These results also suggests the need to test for the concomitant prescription of ketamine and BZD to see whether its sustained antidepressant activity is maintained in TRD patients.
Trace-buffer Based Electric Bug Localization

The aim of this thesis is to collect workload data based on simulations and predict run-time parameters based on the machine learning algorithms. Targeting at investigating the upcoming false-behavior of a chip. This thesis is composed by five main parts which are: • the introductory chapter, highlighting background, key terms, why a new trace-buffer based electrical bug localization method is needed, the goal of this work, outlining the constraints and issues which are generated mainly by previous studies; • the second chapter describes which methodology is used in our proposal and a brief overview is given in the program structure section in order to better understand this work; • in the third chapter, the most important one, benchmark circuit selection is presented firstly with a comparison of ISCAS’99, ITC’99 and LEON3 processor, then the whole procedures of generating experimental data sets are illustrated, starting from experimental setup to the final training dataset generation with the Leon3 microprocessor; we focus on the model selection which concentrates on false behavior prediction using machine learning in the last section of this chapter, explaining the machine learning algorithm which is used in this thesis and its peculiarities that make it different from other machine learning algorithms and previous works; the unbalanced class problems are also illustrated; • in the following, the fourth chapter focuses on the evaluation of the final results and performance; the experimental results generated by using the same workload data-set and by using different workloads both for training and testing the mode are demonstrated and both electrical bugs localization and the trace signal selection are considered; • the conclusions of this thesis is presented in the last chapter.
DOCUMENT COMPARISON BASED ON TF-IDF METRIC

---------------------------------------------------------------------- Abstract - Rapid progress in digital data led to huge volume of data. More than 80 percent of data is composed of unstructured or semi-structured data. The discovery of appropriate patterns and trends to analysis the text documents from massive volume of data is a big issue. Extraction of valuable information from a corpus of different document is a tedious and tiresome task. Text mining is a process of extracting interesting and nontrivial patterns and significant patterns from huge amount of text documents. The selection of appropriate technique for mining text reduces the time and effort to find the relevant patterns for analysis and decision making. In the proposed work documents are represented vector of terms. Each term is given weight based on it frequency and its significance in over all document. The metric called term frequency-and inverse document frequency (TF-IDF) is used, which is significant within the document and not relevant in other document. TF-IDF as feature vector is used to comparison of document. Cosine similarity metric is used to compare the document similarity.
HIV infected patients attendance in a Brazilian public health service: A short report

14 15 Background. Continuous health monitoring of human immunodeficiency virus (HIV) infected 16 patients is critical to allow uninterrupted access to antiretroviral therapy (ART) and sustained 17 viral suppression. Despite public health effort for patient retention in care, many HIV-infected 18 patients fail to maintain effective engagement in Health Services. This study reports the 19 attendance of HIV infected individuals for routine exams in a Brazilian outpatient clinic. 20 Methods. Patients were enrolled in two moments, 2010/2011 and 2014/2015, as they attended 21 the public service for monitoring HIV infection status. The individuals that agreed to participate 22 the study signed an informed consent and completed a structured questionnaire. 23 Results. Of 58 initially expected patients, only 31 participated in the second part of the study. 24 The reasons for these individuals not returning to the health service during the study period were 25 not related to death (1.7%) and the majority of them still remained enrolled in the service and in 26 follow-up. 27 Discussion. The difficulty of HIV infected patients in returning to healthcare services have been 28 reported by several authors. Among the barriers that prevent monitoring, we suggest that 29 noncompliance may also be linked to years of study. However this subject needs more 30 investigation. 31 32
Is Whatsapp Messaging Subsuming Conventional SMS?

: The surge in social media platforms have impacted greatly on information sharing. Similarly, communication is becoming cheaper by the day due to increased innovation in Information and Communication Technologies (ICTs). This article focuses on WhatsApp as an alternative for SMS. This article is anchored on scholarly review of literatures. Based on domestication theory, the theory provides valuable insights into how ICTs fit into different constructs of our day to day lives and routines. The paper concludes that WhatsApp messaging has surpassed conventional Short Message Service (SMS). In this light, mobile service providers are advised to be innovative in order to retain the relevance of SMS in communication.
Potentiality Of Pulverized Commercially Available Vermiculite As Partial Replacement To Ordinary Portland Cement In Concrete Mix

As the need for concrete continuously increases every year, the necessity and demand for the supply of cement also rise significantly. This study aimed to look for an alternative engineering construction material which can be a potential partial replacement to ordinary Portland cement (OPC). The entire investigation and experiment was based on the established ASTM standards. The physical properties of pulverized commercially available vermiculite (PCAV), namely fineness, specific gravity, and unit weight, were determined via laboratory tests and experiments. The cylindrical concrete specimens were designed for 28 MPa and 24 MPa compressive strengths exposed in a curing period of 28 days. The commercially available vermiculite from Ramgo International Corporation was utilized in the study, and was pulverized using the available pulverizing equipment. As far as the objectives of the study were concerned, the compressive strengths of the samples were determined using the Universal Testing Machine. The results of the experiments and laboratory tests performed showed that only the cylindrical concrete specimen of Class AA (1:1.5:3) with a PCAV – cement proportion of 10% 90% attained and exceeded the required strength based on the design compressive strength of 28 MPa. Results also showed that PCAV can be used as a partial replacement to OPC in a concrete mix using PCAV – cement proportion of 10% 90% of Class AA.
BIG DATA SEARCH SPACE REDUCTION BASED ON PATTERN TYPE AND USER PERSPECTIVE USING MAPREDUCE

: Big-data takes us into new epoch of data, which commonly referred to be as a big data. It pose a challenges to the researchers with more velocity, more Variety and large volumes. Where the commonly used software’s are not able to imprisonment, accomplish and process within the lapsed time. Furthermore, there is a need to discover new procedures for to process large volumes of data to optimization, datamining and knowledge discovery. This ambitions and motivations are drives the researchers to Big-data analytics and big-data mining. Over the earlier few centuries, different procedures have been proposed to use the MapReduce model-which decrease the space of search with distributed or parallel computing-for different big data mining and analytics tasks. In this paper we propose an algorithm which reduces the search space based on user’s perspective and MapReduce to mine valid frequent patterns, approximate patterns and rare patterns from high volumes of ambiguous data in a divide-and-conquer fashion and we evaluate the performance through Hadoop.
The Relevance of Bioinformatic Tools in the Study of Polymorphisms of the B4GALNT2 Gene and its Association with Cancer

The human gene B4GALNT2 encodes an enzyme (β1,4-N-acetylgalactosaminyltransferase II) that controls the expression of the blood group Sda carbohydrate’s antigen. This gene is located in position 17q21,32 and consists of 11 exons. The characterization and understanding of genetic variation is a real challenge in human genetics, both for healthy individuals and diseased ones. The in silico study of the B4GALNT2 gene’s polymorphism using a bioinformatic methodology by means of analyzing various databases and open source web browsers has shown that this gene is characterized by a polymorphic profile that has a very large number of Cosmic SNPs associated with different types of cancer. The prediction of the 3D structure in silico is an important step to better understand the overall architecture of the B4GALNT2 protein. The chosen model this study is one of chondroitin synthase with a recovery percentage of 20.10% relative to the target sequence. Our findings suggest that these cosmic polymorphisms are at the origin of a cellular disorder responsible for the initiation, birth and proliferation of tumors. Bioinformatics has become an indispensable tool in identifying and predicting the function of the B4GALNT2 gene and its relation to cancer.
FIRMSCOPE: Automatic Uncovering of Privilege-Escalation Vulnerabilities in Pre-Installed Apps in Android Firmware

Android devices ship with pre-installed privileged apps in their ﬁrmware — some of which are essential system components, others deliver a unique user experience — that users cannot disable. These pre-installed apps are assumed to be secure as they are handpicked or developed by the device vendors themselves rather than third parties. Unfortunately, we have identiﬁed an alarming number of Android ﬁrmware that contain privilege-escalation vulnerabilities in pre-installed apps, allowing attackers to perform unauthorized actions such as executing arbitrary commands, recording the device audio and screen, and accessing personal data to name a few. To uncover these vulnerabilities, we built F IRM S COPE , a novel static analysis system that analyzes Android ﬁrmware to expose unwanted functionality in pre-installed apps using an efﬁcient and practical context-sensitive, ﬂow-sensitive, ﬁeld-sensitive, and partially object-sensitive taint analysis. Our experimental results demonstrate that F IRM S COPE signiﬁ-cantly outperforms the state-of-the-art Android taint analysis solutions both in terms of detection power and runtime performance. We used F IRM S COPE to scan 331 , 342 pre-installed apps in 2 , 017 Android ﬁrmware images from v4.0 to v9.0 from more than 100 Android vendors. Among them, F IRM - S COPE uncovered 850 unique privilege-escalation vulnerabilities, many of which
Quality of care of the preterm infant—the parent and nurse perspective

Aim: To study the subjective opinions about what is important in care at neonatal units and child health centres (CHCs) for premature newborns, and to compare these opinions with the care actually given. Subjects: 21 mothers, 20 fathers and 15 nurses at the neonatal unit, and 21 mothers, 14 fathers and 18 nurses at CHCs. Methods: A questionnaire on quality of Care from the Patient's Perspective was used. It contained three dimensions: identity‐oriented approach, medical‐technical competence and socio‐cultural atmosphere. Each dimension was evaluated in terms of subjective importance and perceived reality of given care. Results: In general, subjective importance was rated higher than perceived reality both for neonatal care and care at CHCs for the dimensions identity‐oriented approach and medical‐technical competence. However, higher ratings were given to neonatal care compared to CHCs for medical‐technical competence. High‐risk diagnoses and very low gestational age in the newborn did not affect the answers. Mothers rated medical‐technical competence higher than nurses for neonatal care. Mothers and nurses rated identity‐oriented approach higher than fathers for CHCs.
Predictor of Dengue Shock Syndrome Among Pediatric Dengue Infection in Limited Resource Setting

Introduction: Indonesia has the most dengue outbreaks in the ASEAN region. Lack of diagnostic modality and poor sanitation especially in rural area hinders proper and prompt management of Dengue Fever. Aim: Finding the early, simple, and reliable predictor of Dengue Shock Syndrome (DSS) in Indonesia. Materials and Methods: A retrospective study reviewing the medical record of pediatric patient with dengue infection from 1 January 2016 to 31 March 2016 were conducted. Age, gender, dengue signs, and simple laboratory result were collected. The data acquired were then analyzed using logistic regression for multivariate analysis (P<0,05) to find the severity predictor. Results: 80 cases of dengue infection were included, mean age was 7,7 ± 3.4 years old, the average length of hospital stay was 4.59 days. 28.75% of patients had DSS. From the multivariate analysis, it is found that lethargy (p= 0.00; OR 21.23), bleeding (p= 0.01; OR 0,04), cold extremities (p=0.00;OR=22.35), and increased haematocrit level (p=0.01;OR=4.72) has significant relationship with DSS while other indicator did not. Conclusion: Patients presenting with lethargy, cold extremities, and increase in haematocrit level should be treated promptly and intensively as they are more likely to develop DSS compared to patients who did not.
168-180 Ngui R.pmd

Soil-transmitted helminths (STHs) are the most common intestinal parasitic infections of medical importance in human. The infections are widely distributed throughout the tropical and subtropical countries including Malaysia particularly among disadvantaged and underprivileged communities. This study was conducted to determine the prevalence and pattern of STH infections among Temuan indigenous subgroup. A cross sectional study was conducted among five villages in Peninsular Malaysia. Faecal samples and socioeconomic data were collected from each consented participant. Faecal samples were processed using formalin-ether sedimentation and examined under microscope. Data analysis was carried out using SPSS software programme for Windows version 24. A total of 411 participants voluntarily participated in this study. The overall prevalence of STH infections was 72.7% (95% CI = 68.2 – 77%). The most common STH species recorded was Trichuris trichiura (58.4%, 95% CI = 53.5 – 63.2%) followed by Ascaris lumbricoides (45.5%, 95% CI = 40.6 – 50.5%) and hookworm (23.1%, 95% CI = 19.1 – 27.5%). Multivariate analysis demonstrated that using untreated water was a significant predictor of STH infections in these communities. Our findings demonstrated that STH infections are still prevalent and co-exist with the low SES among this subgroup. Poverty and poor sanitation are the leading factors contributing to this malady. Hence, the reassessments of the existing control measures are needed.
Demo Abstract: AxSerBus: AQuality-Configurable Approximate Serial Bus for Energy-Efficient Sensing

We present AxSerBus, a quality-configurable approximate serial bus for the energy-efficient transfer of sensory data exploiting their high data locality. The proposed approximate serial bus significantly reduces signal transitions on off-chip buses by encoding the differentials of sensory data in three encoding modes, depending on the magnitude of the differentials. In this demo, we will present AxSerBus prototyped on an FPGA board with a camera as the source of sensory data. We will demonstrate a significant power reduction by 610 mW for 640×480 at 60 Hz video streaming.
On the fundamental groups of positively curved manifolds

In 1965, S.S. Chern posed the following question [7, p.167] (sometimes called Chern’s conjecture [12, p.671]; see also [6]): Let M be a compact Riemannian manifold of positive sectional curvature. Is it true that every abelian subgroup of π1(M) is cyclic? Since π1(M) is finite, this is equivalent to saying that the cohomology ring H∗(π1, Z) is periodic (cf. [2]). In this note we will point out that there exist infinitely many counterexamples by observing that the normal homogeneous Aloff-Wallach space N1,1 (cf. [10]) and the Eschenburg space M1,1 (cf. [3]) 1 both admit free, isometric SO(3) actions. Curiously enough N1,1 was precisely the one missed in the classification of positively curved normal homogeneous spaces (cf. [1]). So, the motivation for posing the question possibly came from looking at metric space forms (cf. [11]) or more generally (? ) 1 4 -pinched manifolds (cf. [4]) where the fundamental groups all have periodic cohomology, and from manifolds of negative curvature where the statement is true (Preissman’s Theorem).