Miracle-dz/UniFAR-FTUs huggingface dataset:
Commentary: Augmented Reality Scientific Phone Apps –making the APD AR Holistic Review app and using existing AR apps for scientific publications

© APD SKEG Pte Ltd 1 www.scientificphoneapps. com/ Commentary: Augmented Reality Scientific Phone Apps – making the APD AR Holistic Review app and using existing AR apps for scientific publications Jun-Jie Poh1,3, Ser-Xian Phua1, Kwok-Fong Chan1, Samuel Ken-En Gan1,2,3,# 1 Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671 2 p53 Laboratory, Agency for Science, Technology and Research (A*STAR), Singapore 3 APD SKEG Pte Ltd, Singapore 529757 #To whom all correspondence should be addressed to: samuelg@bii.a-star.edu. sg Received 26 September 2018, Published: 2 October 2018. DOI: 10.30943/2018/28092018 INTRODUCTION The average scientific publication is not the most palatable of reading materials, especially to those not in the relevant disciplines. Yet, conveying scientific concepts easily is precisely what scientific publications are meant to do. Imagine what the use of video pictures/paintings as depicted in the Harry Potter movie series can do to make things easier!
Reconstrução de histórias de nascimentos a partir de dados censitários: aspectos teóricos e evidências empíricas

Durante a segunda metade do seculo XX, o Brasil passou por um rapido, surpreendente e generalizado processo de declinio da fecundidade, sem o prenuncio de mudancas socio-economicas, estruturais e de politicas de planejamento familiar explicitas. Os niveis cada vez mais baixos da fecundidade no pais colocam novos desafios. Um desses desafios esta relacionado a mensuracao da fecundidade. Apesar da boa qualidade dos dados censitarios brasileiros, os debates acerca das tendencias da fecundidade ficam limitados a analise das medidas tradicionais, devido a menor qualidade dos registros de nascimentos e a ausencia de boas historias de nascimentos. Na medida em que a fecundidade declina e as mudancas passam ocorrer em um ritmo mais lento, novas dimensoes assumem um papel importante nas analises sobre a fecundidade. O objetivo principal deste trabalho e o de aplicar duas metodologias de reconstrucao de historia de nascimentos uma metodologia em desenvolvimento no Cedeplar e outra metodologia desenvolvida por Luther & Cho (1986) aos dados censitarios brasileiros de 2000, comparar e testar a confiabilidade dos resultados. Pretende-se, com isso, determinar a metodologia mais adequada ao caso brasileiro e buscar um melhor aproveitamento das bases de dados disponiveis, no que concerne a formas alternativas de estimacao da fecundidade. Os objetivos especificos sao: (i) aplicar a metodologia de reconstrucao de historias de nascimentos mais adequada ao caso brasileiro aos dados dos Censos Demograficos de 1980 e 1991; (ii) aplicar o Metodo dos Filhos Proprios as tres ultimas edicoes do Censo Demografico brasileiro 1980, 1991 e 2000; (iii) comparar as series historicas de TFT pelas historias de nascimentos com a serie produzida pelo Metodo dos Filhos Proprios; (iv) aplicar o modelo proposto por Kohler & Ortega, que dissocia os efeitos sobre a fecundidade em tres componentes tempo, quantum e composicao , utilizando as bases de dados das historias de nascimentos; (v) calcular medidas alternativas de fecundidade de periodo, baseadas em probabilidades de nascimento. Os resultados sugerem que a metodologia de reconstrucao de historias de nascimentos desenvolvida no Cedeplar e a mais satisfatoria para o caso do Brasil por ter produzido melhores resultados quando aplicada aos dados do Censo Demografico de 2000. Os resultados da aplicacao aos dados censitarios de 1980 e 1991 tambem foram satisfatorios, quando comparados aos resultados do Metodo dos Filhos Proprios. A aplicacao do modelo de Kohler e Ortega e a determinacao de indicadores alternativos de fecundidade de periodo sugerem que o declinio da fecundidade no Brasil foi acompanhado por um efeito tempo negativo e um efeito parturicao significativo. Ao final dos anos 1990, os resultados indicam que e provavel que o Brasil entre no processo de postergacao da fecundidade, com predominância de efeito tempo. A se confirmar este cenario, a fecundidade observada no Brasil atingira niveis bem mais baixos do que os ja observados.
EMPLOYEES’ COMMITMENT TO THEIR SUPERVISORS AND ITS INFLUENCE ON SUPERVISORY SATISFACTION AND CAREER SATISFACTION

The objective of this study was to examine the association between supervisor related commitment, supervisor satisfaction and career satisfaction among employees in a manufacturing organisation.A cross-sectional survey was utilised to gather data from employees in a manufacturing company in Gauteng. These employees were selected by means of a non-probability convenience sampling method. Structured questionnaires were distributed to 150 employees. Descriptive statistics was used to analyse the biographical information of respondents and to compute the means and standard deviations of supervisor related commitment, supervisor satisfaction, and career satisfaction. Correlation analysis was performed between supervisor related commitment, supervisor satisfaction and career satisfaction. Regression analysis was conducted between supervisor related commitment, supervisor satisfaction and career satisfaction. Positive correlations were noted between supervisor related commitment and supervisor satisfaction and between supervisor satisfaction and career satisfaction. Similar positive correlation was observed between supervisor related commitment and career satisfaction. It was also noted that supervisor related commitment contributed to the occurrence supervisor satisfaction and career satisfaction. In similar vein, supervisor satisfaction contributed to the incidence of career satisfaction. Recommendations for the study included, among others, an improvement of the trust relationship between supervisors and employees to enhance supervisor related commitment; fair and consistent application of company policies; and the application of work-life balance practices.
Feasibility of a Functional Medicine Approach to Slowing Clinical Cognitive Decline in Patients over Age 55: A Multiple Case Study Report

Background: The current study examined a multifaceted anti-neuroinflammatory intervention that included physical exercise, mental exercise, grain-free/sugar-free diet, anti-inflammatory nutritional supplements, sleep optimization, and stress management within the context of a functional medicine practice for five patients with varying levels of cognitive impairment. Methods: In a prospective chart review, we examined impact measures including assessment of (1) cognitive skills, (2) brain connectivity, and (3) daily functioning. Results: Three of the five patients were no longer classified as cognitively impaired, while a fourth patient improved from moderately-to-severely impaired to mildly impaired. Patients OBM Integrative and Complementary Medicine 2019; 4(3), doi:10.21926/obm.icm. 1903054 Page 2/34 reported improved memory, mental clarity, and outlook on life. fMRI analyses revealed changes in brain connectivity and efficiency. Conclusions: The current study provides preliminary support for and feasibility of the use of a multi-component approach to slowing cognitive decline.
Social Networks, Support, and Depressive Symptoms: Gender Differences among Clergy

This study extends social-psychological research on social networks and mental health by examining cross-gender differences in social integration and depression among United Methodist clergy in North Carolina. Using data from the fifth wave of the Clergy Health Initiative panel survey, we used cross-group models to examine the association of depressive symptoms and network in-degree, out-degree, and perceived social isolation among men (N = 1,145) and women (N = 535) clergy. The analysis reveals gendered differences in this association. Specifically, out-degree bore a significant negative relationship with depressive symptoms for men but not women. Feeling socially isolated had a significant positive association with depression in both men and women.
Representation learning of recipes

This work introduces methods for learning distributed, vector representations of cooking recipes. The individual components of a recipe–the images, instructions, and ingredients–are first treated individually. These representations are learned from a large, multi-modal dataset collected–and publicly released–as part of this work. Their representations are then embedded in a joint vector space using a novel neural network model. Experiments on cross-modal retrieval and vector space arithmetic demonstrate the utility and generalizability of both the per-component and joint embeddings. Thesis Supervisor: Antonio Torralba Title: Professor
Universal impulse noise suppression using extended efficient nonparametric switching median filter

This paper presents a filtering algorithm called extended efficient nonparametric switching median (EENPSM) filter. The proposed filter is composed of a nonparametric easy to implement impulse noise detector and a recursive pixel restoration technique. Initially, the impulse detector classifies any possible impulsive noise pixels. Subsequently, the filtering phase replaces the detected noise pixels. In addition, the filtering phase employs fuzzy reasoning to deal with uncertainties present in local information. Contrary to the existing conventional filters that only focus on a particular impulse noise model, the EENPSM filter is capable of filtering all kinds of impulse noise (i.e. the random-valued and/or fixed-valued impulse noise models). Extensive qualitative and quantitative evaluations have shown that the EENPSM method performs better than some of the existing methods by giving better filtering performance.
Modelling of Hypertension Risk Factors Using Logistic Regression to Prevent Hypertension in Indonesia

Hypertension called as the silent killer, is the number one non-infectious disease that causes death in the world every year. There are 185,857 cases recorded in 2018 in Indonesia. In this study, we model the hypertension risk by considering age, heart rate, hypertension history of family, eating salty foods, and smoking or exposure to cigarette smoke as the influence factors of hypertension risk. A cross-sectional survey was conducted in August 2018 at the Haji Hospital of Surabaya. Logistic regression is used to analyse the influence of various risk factors on hypertension and non-hypertension. In addition, we compare between logit and gompit link functions in logistic regression to build the modelling of hypertension risk factors based on the accuracy of the classification model. By using logit and gompit link functions, we obtain percentage of the classification accuracy are 85.2 % and 81.5 %, respectively. It means that the logit link function is better than the gompit link function for modelling hypertension risk factors. For these link functions, the significant factors that influence hypertension are age and heart rate.
Smart Home Services Using Cloud and Internet of Things

Today with the advancement of Internet of Things, the utilization factor has shifted from computers to every gadget being used by human. It is important that the end user services across different applications need to be offered at one-stop. In this paper a novel framework is developed based on cloud and internet of things that derives a new business model by integrating heterogeneous applications and devices. The integrated applications and devices are monitored in real time to provide smart services to end users in case of malfunction or repair of appliances to provide a suitable solution. A use case is implemented for smart home using the defined framework to integrate various application services and to monitor the appliances in real-time. Here heterogeneous applications related to smart home are tightly coupled to offer smart services in the event of failure or repair of home appliances and to assist end users to be energy efficient.
PENENTUAN TANGGAL BAU NYALE DALAM KALENDER ROWOT SASAK

The cultural custom is a complexity that is incorporated in a society which includes knowledge, beliefs, arts, morals, laws, customs, abilities and habits in humans within members of the community which in which a mutually agreed and implemented rule is formed. The calendar is a marker of time to identify historical events in human civilization (society) in carrying out everyday life and lasts for a certain period. Calendar is made as a reference for humanity in determining matters relating to worship, culture and even other important jobs. Related to the topic of discussion in this paper what is meant by the Sasak community is the regional tribe on the island of Lombok, West Nusa Tenggara. In the implementation of the Sasak traditional Bau Nyale is a celebration moment to commemorate the sacrifice of the princess's figure named Mandalika which transforms into a sea worm. The determination of the 20th in the Rowot Sasak Calendar was first held in consultation with traditional manners called Sangkep Warige, which was attended by traditional leaders and experts, in which the meeting was to look for characteristics and related natural phenomena in determining the date of implementation of the Nyale.
Internet of Things Smart Agriculture on ZigBee: A Systematic Review

Teknologi WSN kini semakin meningkat diakhir-akhirnya dan banyak diterapkan diberbagai bidang. Salah satu dari penerapan WSN seperti pada Agiculture yang berbasis Internet of things. WSN ini contoh seperti ZigBee, penerapan ZigBee pada Agiculture sangat membantu pada berbagai bidang Agiculture dimulai dari system control irigasi, pemantauan iklim pada Agiculture serta pengendalian system control rantai makan pada system Agiculture. Internet of things ini mendukung system Agiculture untuk memberikan komunikasi pada sensor-sensor yang ada di Aguculture ini. Sistem Agiculture ini diharapkan bisa meningkatkan produktivitas maupun prediksi masalah yang ada di system pertanian. Systematic riview ini memberikan gambaran bahwa teknologi Internet of things di Agiculture sangat berpontensi baik karena dapat meningkat para petani dalam operasional produksi pangan maupun ternak.
Gaussian Weighting Reversion Strategy for Accurate Online Portfolio Selection

In this paper, we design and implement a new on-line portfolio selection strategy based on reversion mechanism and weighted on-line learning. Our strategy, called “Gaussian Weighting Reversion” (GWR), improves the reversion estimator to form optimal portfolios and effectively overcomes the shortcomings of existing on-line portfolio selection strategies. Firstly, GWR uses Gaussian function to weight data in a sliding window to exploit the “time validity” of historical market data. It means that the more recent data are more valuable for market prediction than the earlier. Secondly, the self-learning for various sliding windows is created to make our strategy adaptive to different markets. In addition, double estimations are first proposed to be made at each time point, and the average of double estimations is obtained to alleviate the influence of noise and outliers. Extensive evaluation on six public datasets shows the advantages of our strategy compared with other nine competing strategies, including the state-of-the-art ones. Finally, the complexity analysis of GWR shows its availability in large-scale real-life online trading.
FEDL: Formalized Event Description Language for Wireless Sensor Networks

Event detection plays an important role in sensor network applications such as battlefield surveillance and habitat monitoring. However, effective approaches to specify events in a sensor network remain a challenge. Existing techniques such as natural languages or SQL-like languages have a number of limitations. In this paper, we present a formalized event description language (FEDL) developed especially for sensor networks by extending and modifying Petri Nets. As a description language, FEDL is an extension of Petri-Nets with both diagram and symbolic representation support. A FEDL Petri Net integrates features from color, time and stochastic Petri Nets to tackle problems in specification and analysis. As a system analysis tool, FEDL can capture the structural, spatial and temporal properties of a complex event detection system, which can be used to assist system designers to identify inconsistencies and potential problems. In addition, FEDL can perform case-specific analysis that helps in the debugging phase. A case study is presented as an example to illustrate the features and effectiveness of FEDL. Keyword: Wireless sensor networks, Petri Nets, spatial and temporal properties, event specification and analysis
Firm-Level Investment and Exporting: New Empirical Evidence from Ghana and Tanzania

Using firm-level data from two selected African countries, we examine whether firm-level investment in physical capital is a possible channel through which less productive firms gain entry into export markets. Our findings reveal that non-exporters who invest in physical capital increase their probability of switching status, from non-exporter to exporter, and we provide evidence that firm-level investment is correlated with increased productivity growth among exporters. Consequently, we emphasize that firm-level investment in physical capital enables non-exporters to increase their odds of entry to export markets and provides opportunity for young exporters to grow rapidly and persist long in export markets. Although firm productivity differences can be explained by self-selection factors as one channel, firm-level investment in physical capital provides another explanation as to why less productive firms gain entry into the export markets. We establish that when firms invest in physical capital, they improve their productive capacity thereby raising their productivity in the process. Export promotion policies should target providing support to firms that seek to upgrade or expand their production technology as this would stimulate the probability of export market entry hence promoting exports.
Postal Surveys (Version 2.0)

Postal surveys are an important data collection mode in social science survey research. One key task when Implementing postal surveys Is to motivate the potential respondents to participate. This Is done by means of the cover letter, the design of the questionnaire, and repeated contacts. Methodological aspects of the Implementation of postal surveys are discussed against the background of theories that explain the willingness to participate.
The Interaction of Social, Physical and Nutritive Factors in Triggering Early Developmental Language Delay in a Sample of Egyptian Children

BACKGROUND: Language acquisition and child development during the early years of life depend on multiple interacting factors. AIM: To explore potential factors that can impact language development in 2 groups of Egyptian children, one with normal language development and the second with delayed development. Also, to explore to what extent can the involvement of impaired motor development potentiate the risk of developmental language delay. METHODS: This cross-sectional case-control study involved Egyptian children belonging to the middle socioeconomic class between 18 and 36 months of age. Children were classified according to their performance on language domain of Bayley Scales of Infant and Toddler Development (Bayley-III) into two groups, infants with the average or above score (control group) and those having below-average scores (cases). Motor development was assessed on the same scale. Factors affecting language development were tested, including socio-demographic, obstetric, and maternal medical factors in addition to Infant Feeding Practices. RESULTS: The independent factors lowering the language scores were early introduction of complementary food, low family income, history of delivery problems, pregnancy-related diseases of the mother, and maternal education. Impaired motor development appears as a further highly significant risk factor to the previously mentioned factors CONCLUSION: In Egyptian children, delayed language development is severely affected by the interaction of medical, social and nutritional factors. Providing adequate maternal health care during pregnancy and childbirth, regular developmental monitoring at each child visit, and screening for such risk factors, can reduce size of the problem and promote child’s social and psychological development.
Cheap Talk and Strategic Rounding in Libor Submissions

Interbanking rates were, until recently, based on judgmental estimates of borrowing costs. We interpret this as a cheap-talk game that allowed banks to communicate nonverifiable information about their opportunity cost to potential counterparties. Under normal market conditions there is a welfare maximizing equilibrium where banks truthfully disclose their borrowing cost, but, in times of financial stress, only “coarse” equilibria survive. We take this prediction to the data and show that banks round more frequently if the risk of the bank increases. Rounding is also more frequent for the more liquid short-term rates and certain benchmark maturities. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
Historical Models and Serial Sources

Serial sources such as records, registers, and inventories are the ‘classic’ sources for quantitative history. Unstructured, narrative texts such as newspaper articles or reports were out of reach for historical analyses, both for practical reasons — availability, time needed for manual processing — and for methodological reasons: manual coding of texts is notoriously difficult and hampered by low inter-coder reliability. The recent availability of large amounts of digitized sources allows for the application of natural language processing, which has the potential to overcome these problems. However, the automatic evaluation of large amounts of texts — and historical texts in particular — for historical research also brings new challenges. First of all, it requires a source criticism that goes beyond the individual source and also considers the corpus as a whole. It is a well-known problem in corpus linguistics to determine the ‘balancedness’ of a corpus, but when analyzing the content of texts rather than ‘just’ the language, determining the ‘meaningfulness’ of a corpus is even more important. Second, automatic analyses require operationalizable descriptions of the information you are looking for. Third, automatically produced results require interpretation, in particular, when — as in history — the ultimate research question is qualitative, not quantitative. This, finally, poses the question, whether the insights gained could inform formal, i.e., machine-processable, models, which could serve as foundation and stepping stones for further research.