Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional Status of Schizophrenic Patients at Department of Psychiatry in Dr. Hasan Sadikin General Hospital

Background: Currently, schizophrenia is associated with many health problems due to weight changes caused by lifestyle changes and consumption of antipsychotic drugs (APDs). Nutritional status assessment is needed in order to lower the comorbidity through early detection of risk factors. Methods: This descriptive cross-sectional study involved 94 schizophrenic patients selected using consecutive sampling in October 2012 in Psychiatry Outpatient Department, Dr. Hasan Sadikin General Hospital, Bandung. An anthropometric measurement was verified (body mass index and waist circumference), physical activity level, type of antipsychotic drugs (APDs) used and duration of treatment acquired from medical records. Results: Among the subjects, 29.8% were 28–37 years old, with 69.1% males and 30.9% females. Most of them suffered from paranoid schizophrenia (71.3%). The body mass index (BMI) of 46.8% subjects were normal, 45.74% were overweight, whereas 7.45% were underweight. Male subjects mostly had smaller waist circumference (78%) compared to females who were dominantly above normal (52%). Physical activity levels were mostly sedentary (76%). Single typical APD were dominantly prescribed (46%). Subjects with normal BMI were mostly found among single typical APDs prescribers (53.5%), whereas the majority of atypical APDs users were overweight (61.9%). A total of 63% subjects had been prescribed APDs for 1–5 years, dominated by subjects with normal body mass index (78%). Conclusions: The majority of study subjects (46.8%) were found normal in terms of the body mass index. Male subjects mostly had normal waist circumference (78%) while females have a higher risk with measurement above normal as a more dominant finding (52%). [AMJ.2014;1(1):40–7]
Asteroseismic inversions in the Kepler era: application to the Kepler Legacy sample

In the past few years, the CoRoT and Kepler missions have carried out what is now called the space photometry revolution. This revolution is still ongoing thanks to K2 and will be continued by the Tess and Plato2.0 missions. However, the photometry revolution must also be followed by progress in stellar modelling, in order to lead to more precise and accurate determinations of fundamental stellar parameters such as masses, radii and ages. In this context, the long-lasting problems related to mixing processes in stellar interior is the main obstacle to further improvements of stellar modelling. In this contribution, we will apply structural asteroseismic inversion techniques to targets from the Kepler Legacy sample and analyse how these can help us constrain the fundamental parameters and mixing processes in these stars. Our approach is based on previous studies using the SOLA inversion technique [1] to determine integrated quantities such as the mean density [2], the acoustic radius, and core conditions indicators [3], and has already been successfully applied to the 16Cyg binary system [4]. We will show how this technique can be applied to the Kepler Legacy sample and how new indicators can help us to further constrain the chemical composition profiles of stars as well as provide stringent constraints on stellar ages.
Design for reusability and product reuse under radical innovation

Many industries, including consumer electronics and telecommunications equipment, are characterized with short product life-cycles, constant technological innovations, rapid product introductions, and fast obsolescence. Firms in such industries need to make frequent design changes to incorporate innovations, and the effort to keep up with the rate of technological change often leaves little room for the consideration of product reuse. In this paper, we study the design for reusability and product reuse decisions in the presence of both a known rate of incremental innovations and a stochastic rate of radical innovations over time. We formulate this problem as a Markov Decision Process. Our steady-state results confirm the conventional wisdom that a higher probability of radical innovations would lead to reductions in the firm's investments in reusability as well as the amount of reuse the firm ends up doing. Interestingly, the design for reusability decreases much more slowly than the actual reuse. We identify some specific scenarios, however, where there is no tradeoff between the possibility of radical innovations and the firms reusability and reuse decisions. Based on over 425,000 problem instances generated over the entire range of model parameters, we also provide insights into the negative impact of radical innovations on firm profits, but show that the environmental impact of increased radical innovation is not necessarily negative. Our results also have several implications for policy makers seeking to encourage reuse.
PIAAC and its Methodological Challenges

This article gives an overview of the Programme for the International Assessment of Adult Competencies (PIAAC) and introduces the methodological challenges in implementing the survey – especially those encountered in Germany. Adherence to high methodological standards is a prerequisite to participation in PIAAC and to inclusion of the national data of the respective participating countries in the international dataset (OECD, 2010). Depending on the standard in question, and on national circumstances, compliance is a challenging undertaking. This Special Issue discusses methodological challenges at different levels, and steps taken to implement PIAAC standards in Germany. The aspects addressed include sample design, survey instruments, field work preparation, data collection, and estimation standards. In this introductory article, we outline the central elements of the PIAAC design and the methodological challenges of the survey, and we present the other six articles in this Special Issue.
A Study of Housing and Identity in Northern Cyprus

This research mainly focuses on the relationship between environment and people’s identity by centralization of communicative aspects of residential environments. There is this potential to find out the dwellers’ identity, and this is where we come to the confluence of housing and identity. Therefore, it is significant to find out the residents’ attitudes considering their residences. The concept that enables individuals to retain their routines, costumes, habits and memories makes the focus of “housing and identity” a crucial and feasible research subject. The case studies are selected among high-quality and low-quality neighborhoods in Kaliland zone in Gazima? usa , one of the five districts of Northern Cyprus. In this survey questionnaires are used in order to explore residents’ interests, personality and relationships. This research is done based on the principles of home identity, communicating identity and self-perception. Consequently, the significant aspects in creating home identity will be discussed, and finally, the research will conclude the key role of memory, personal features and backgrounds in defining identity. Keywords: Housing, Dwelling, Identity, Residential Environment
Cultivation of lilies (Lilium regale) for commercialization in Pakistan.

The current study envisages producing Lilium regale plants on a large scale, employing costeffective in-vitro protocols. The effect of various concentrations and types of plant growth regulators were observed to optimize the media for large scale propagation. Initiated buds were cultured on MS medium supplemented with BAP (0.5-4.0 mgL); IBA (0.5 and 1.0 mgL) and IAA (1.0 mgL). A rich solid mass of white-green callus was produced. Greatest number and length of shoots were produced in a medium containing BAP (2.0 mgL), IBA (1.0 mgL), IAA (1.0 mgL), Peptone (1.0 mgL) and sugar (60 gL). Rooting started on media containing half the concentration of MS salts, supplemented with NAA (1.0 mgL) and activated charcoal (2 mgL). Three weeks after a rich mass of roots were obtained, the plants were transplanted individually in small clay pots and kept in close tunnels where the relative humidity was approximately 40%. Four weeks after acclimatization, the plantlets were shifted into green houses.
The evolution of TFP in Latin America: high productivity when distortions were high?

Due to widespread government intervention and import-substitution industrialization, there has been a general presumption that Latin America has been much less productive than the leading economies in the last decades. In this paper, however, we show that until the late seventies Latin America had high total factor productivity (TFP) levels relative to the US and other regions. It is only after the late seventies that we observe a fast decrease of relative TFP in Latin America. Results are robust to the use of diferent methodologies and data sources.
The Impact of Social Media On Belief Formation

Social media are becoming increasingly important in our society and change the way people communicate, how they acquire information, and how they form beliefs. Experts are concerned that the rise of social media may make interaction and information exchange among like-minded individuals more pronounced and therefore lead to increased disagreement in a society. This paper analyzes a learning model with endogenous network formation in which people have different types and live in different regions. I show that when the importance of social media increases, the amount of disagreement in the society first decreases and then increases. Simultaneously people of the same type hold increasingly similar beliefs. Furthermore, people who find it hard to communicate with people in the same region may interact with similar people online and consequently hold extreme beliefs. Finally, I propose a simple way to model people who neglect a potential correlation of signals and show that these people may be made worse off by social media.
Towards Non-Invasive Bedside Monitoring of Cerebral Blood Flow and Oxygen Metabolism in Brain-Injured Patients with Near-Infrared Spectroscopy

Monitoring the injured brain to detect and treat harmful events that can cause secondary injury during the acute recovery period is a central part of neurointensive care. The most basic monitoring tool is the neurological examination, such as the Glasgow Coma Score; however, a large component of this scale involves verbal communication and braininjured patents are often comatose, mechanically ventilated or sedated. As well, symptoms of neurological deterioration detected by examination often occur at late stages of brain injury. Since the brain is extremely vulnerable to ischemia, a more direct indicator of potential brain injury is detecting impaired cerebral blood flow (CBF). Multiple factors following brain injury can cause ischemia, including systemic hypotension, cerebral hemorrhage, and edema – all of which independently worsen survival (Helmy et al., 2007). This focus has lead to the recognition that continuous monitoring of CBF in patients with, or at risk of, brain injury could improve outcome by providing the ability to detect and prevent cerebral ischemia. Imaging techniques, such as magnetic resonance imaging (MRI) and computed tomography (CT), are critical to the management of brain-injured patients as they provide detailed structural and functional information of the brain when patients are admitted to an emergency department (Gallagher et al., 2007). CT is the modality of choice because it is widely available and examination times are relatively short. Furthermore, techniques for measuring CBF have been developed on these imaging modalities (Wintermark et al., 2005) and subsequently used to identify CBF abnormalities following brain injury (DeWitt & Prough, 2003; Gowda et al., 2006; Soustiel et al., 2008). Despite these promising advances, conventional imaging modalities suffer from serious disadvantages regarding cerebral monitoring. First, they require transferring patients to imaging facilities which represents a significant risk factor when dealing with critically ill patients. Second, they only provide a single time-point measurement and, therefore, suffer from the possibility of missing flow abnormalities that occur at different times during intensive care. Clearly, effective cerebral monitoring requires bedside techniques.
A Provable Secure and Escrow-able Authenticated Group Key Agreement Protocol without NAXOS Trick

We present an ID-based escrow-able authenticated group key agreement (AGKA) protocol which is provably secure in random oracle model. Additionally, the proposed protocol neither involve NAXOS trick nor uses gap assumption. And the security is proven in stronger eCK model. To our best knowledge, the proposed protocol will be ﬁrst provable Secure and escrow-able ID based authenticated group key agreement protocol without NAXOS trick in eCK model.
Single Nucleotide Polymorphism (SNPs) in the Genes Associated with Tooth Agenesis

Objectives: The main focus of this review article was to collate up to date knowledge with regard to significance of single nucleotide polymorphisms (SNPs) in various genes associated with tooth agenesis. Failure to develop complete set of teeth also called tooth agenesis is a common developmental abnormality manifested mainly as an isolated condition. This anomaly is also associated with many developmental syndromes. Methods: We reviewed the evidence from the literature with regard to SNPs in many genes associated with this developmental anomaly. The information contained in this review deals only with non-syndromic form of tooth agenesis. This condition generally affects third molars or one or few other permanent teeth, however, in some cases its severity is relatively prevalent. Results and Conclusions: Mutations in genes such as Msh homeobox 1 (MSX1), Paired box gene 9 (PAX9), Axis inhibitor protein 2 (AXIN2) and Ectodysplasin A (EDA) have been identified that are associated with the familial form of the disease. It has been shown that the phenotypes associated with these mutations indicate the involvement of more complex mechanisms. Clinical Significance: Evidence collected so far has immense clinical significance to clinical dentists in providing comprehensive guide outlining the role of these gene mutations (SNPs) in various genes and also how the patients affected with this condition will be clinically diagnosed and managed in future.
Wherein Lies the Power? Lobbyists and Lobbying Organizations in North Carolina

Using multilevel social network and standard statistical analysis, this paper compares three levels of a state-level lobbying network the network of individual lobbyists, the network of lobbying organizations, and the client or principal network in order to provide a more nuanced understanding of the structure and dynamics of state-level interest groups. North Carolina is unusual in that it provides public longitudinal data since 1993 covering all three levels of relations. By engaging in this comparison, we hope to further parse the key characteristics of the network in order to understand its evolving structure. Specifically, how do different levels of the lobbying network evolve and change? How do key network characteristics differ across network levels? How are changing connections over time between lobbyists, lobbying organizations, and their clients associated with key political variables such as perceived influence?
Mai Chaza: an African Christian story of gender, healing and power

Mai Chaza’s story is one of evolution from wife, mother and “bloused” member of the Methodist Church's women’s union to elder, faith healer and founder of the Guta RaJehovah Church. Chaza’s healing ministry to women unable to have children offers African perspectives of gender, healing and cultural gerontology. As a healer, she emerges as a prominent woman who transcends the socio-cultural hierarchy, defying the imposed status of “perpetual minor” to become an elder, commanding respect and occupying a position of power and prestige in the very community that shamed, humiliated and ostracised her as an ordinary wife and mother of six, and by whom she was labelled a witch. The correlation of gender, healing and power is crucial for women surviving HIV/AIDS in Africa today; recasting Chaza’s story permits an exploration of what it means currently to be an African, a woman and a Christian.
СЛОВАРНЫЙ ПОДХОД К РАЗРЕШЕНИЮ ОМОНИМИИ ПРИ ВЫДЕЛЕНИИ ИМЕНОВАННЫХ СУЩНОСТЕЙ В РУССКОМ ЯЗЫКЕ DICTIONARY-BASED AMBIGUITY RESOLUTION IN RUSSIAN NAMED ENTITIES RECOGNITION. A CASE STUDY1

The Information Extraction task and the task of Named Entities recognition (NER) in unstructured texts in particular, are essential for modern Mass Media systems. The paper presents a case study of NER system for Russian. The system was built and tested on the Russian news texts. The method of ambiguity resolution under discussion is based on dictionaries and heuristic rules. The dictionaryoriented approach is motivated by the set of strict initial requirements. First, the target set of Named Entities should be extracted with very high precision; second, the system should be easily adapted to a new domain by non-specialists; and third, these updates should result in the same high precision. We focus on the architecture of the dictionaries and on the properties that the dictionaries should have for each class of Named Entities in order to resolve ambiguous situations. The five classes under consideration are Person, Location, Organization, Product and Named Event. The properties and structure of synonyms and context words, expressions and entities necessary for disambiguation are discussed.
Improving the performance of BICM-ID and MLC systems with different FEC codes

Abstract. In bandwidth limited communication systems, the high data rate transmission with performance close to capacity limits is achieved by applying multilevel modulation schemes in association with powerful forward error correction (FEC) coding, i.e. coded modulation systems. The most important practical approaches to coded modulation systems are multilevel coding with multistage decoding (MLC/MSD) and bit interleaved coded modulation with iterative demapping and decoding (BICM-ID). Multilevel modulation formats such as M-QAM, which can be used as a part of coded modulation systems, have the capability of multilevel protection. Based on this fact, we investigate the methods to improve the performance of BICM-ID using multiple interleavers with different binary channel coding schemes such as convolutional codes, turbo codes and low-density parity-check (LDPC) codes. Moreover, an MLC system with parallel decoding on levels (PDL) at the receiver is considered. In our contribution, we propose to design the individual coding schemes using the extrinsic information transfer (EXIT) charts for individual bit levels in the constellation. Our simulation results show that the BICM-ID systems, taking into account different bit-level protections, can provide an improvement of 0.65 dB, 1.2 dB and 1.5 dB for 256-QAM with turbo, LDPC and convolutional codes, respectively. On the other hand, MLC systems with PDL designed using EXIT charts for individual bit levels can slightly improve the performance and eliminate the error floor compared to the systems with MSD.
Social Capital, Institutions and Growth: Further Lessons from the Italian Regional Divide

Since Putnam s work on social capital, the Italian regional case has been a very rich source of both data and theories about the origins of large and persistent differences in local stocks of social capital, and about the impact of such differences on economic performances. The Italian case is widely interpreted as supporting the idea that persistent regional divides are largely explained by local differences in social capital. In this paper we maintain that this interpretation fails to recognize that the current large regional gap in Italy is significantly linked to two policy decisions taken by the central State at the beginning of the 1970s. In particular, we focus on the possibility that social capital became a binding constraint for the growth of southern Italy's mainly as a consequence of the deep process of governmental decentralization that began in the1970s. We formalize this hypothesis by using an endogenous growth model with public capital. In this model, the accumulation of public capital is characterized by the presence of iceberg costs that depend on social capital. Decentralization affects these costs because the impact of the local stocks of social capital on public investment increases when the latter is managed locally. To assess the role of decentralization as a trigger of the influence of local social capital on growth, we control for the impact of labor market reforms, a second and almost simultaneous institutional shock that took place in Italy and that made regional labor markets far more rigid than in the previous decades. In the second part of our paper, we use the large empirical literature on the Italian regions to restrict the values of the parameters of our model in order to perform a simple simulation exercise. In this exercise, the model turns out to be able to account for the major swings in the convergence of southern regions towards the center-northern regions since 1861. The general lessons we can draw from this further analysis of the Italian regional case are as follows. First, we show that the strength of social capital as a determinant of long-run growth may depend on some well-defined characteristic of the institutional context. Second, our model suggests that the economic success of decentralization policies -- even when the budget constraint is not "soft" -- depends on the local endowment of social capital.
Increasing Wind Speed Prediction Accuracy Using Hybrid Model with Passive Aggregation

The electricity production of wind farms is fluctuating because its dependency on the wind speed, so, improving of technical and economic integration of wind energy into the electricity supply system requires improving wind speed prediction accuracy. Thus, we propose a new hybrid model by adding the passive aggregation represented by an appropriate physical force to increase wind speed prediction accuracy. Experiment study shows significantly the influence of the passive aggregation in improving the prediction accuracy. 
Let’s ‘Meetup’ at the theme park

Many people enjoy theme park and other leisure experiences with their families; however, today a great number of single, geographically mobile individuals desire to partake in such experiences. ‘Meetup’ is the world’s largest social network of local groups and thus allows for both online and off-line (in person) interactions. Using an ethnographic approach, this study examines how individuals can enjoy activities centered on common activities, interests, and opinions (AIO) via immersion in a Meetup group over the course of a year. Notably, members visited with greater frequency, had less tolerance for long lines, and were more likely to attend special events, eat at specialty restaurants, and consume alcohol. Group members also exchanged travel advice and both contributed and detracted from the enjoyment of the theme park experience. Membership in this Meetup group increased the frequency of visits and deeper exploration of the theme park resort, thus improving behavioral loyalty among annual pass holders. Managers can learn from these online communities to foster interactions among their guests and better target this new market.