Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Psychological Symptoms in Recent Immigrant

Abstract Immigrant youth are often exposed to numerouspsychosocial stressors, placing them at risk for psycholog-ical distress. Little research assesses psychopathology inthis population during early stages of acculturation. Thisstudy compared student and teacher reports of psychologi-cal symptoms in a diverse sample of recently immigratedyouth. Students (N = 174) attended public high schools in anortheastern city. Students and teachers independentlycompleted the Achenbach System of Empirically BasedAssessment, and four DSM-derived subscales wereexplored. Psychological symptoms among immigrantstudents were higher than normative rates. Across allsubscales, teacher ratings of student symptoms were sig-niﬁcantly lower than student self-reported symptoms, andthis difference was larger than that found in a normativesample. Results suggest that many immigrant youth expe-rience psychological problems but may not be perceived asbeing in distress. Therefore, the most effective assessmentapproach may be active screening, rather than relying onself initiated help-seeking or teacher observation alone.Keywords Acculturation Assessment Adolescents PsychopathologyBackgroundCurrently, there are 37.2 million foreign born residents inthe United States, approximately 2.7 million (7.3%) ofwhom are between ages of 5 and 17 [1]. Many immigrantyouth living in low income, urban settings are exposed todistinct stressors related to their experience during immi-gration, the adjustment and acculturation process, andexposure to environmental risks associated with poverty[2, 3]. However, it remains unclear whether recently-immigrated youth fare worse than their mainstream,non-immigrant counterparts. Considerable evidence dem-onstrates a correlation between exposure to acculturativestressors, such as immigration-related trauma or ethnicdiscrimination, and the presence of psychological problemslike anxiety and depression, in adult [4] and youth immi-grants [5]. While these studies start to identify the prevalence ofmental health problems among immigrant youth, studies onthe psychological health of this population remain incon-clusive, with some showing immigrant youth doing betterthan their mainstream peers, and others ﬁnding increasedrates of symptoms such as anxiety, depression, aggression,low self-esteem, dependency, and poor peer relations[6, 7]. One possible problem with previous studies ofimmigrant health may be sampling limitations. Manystudies look exclusively at one ethnic group, or includeimmigrants with a wide range of time living in the US, oralso include US-born children of immigrants in theirsamples. In narrowing this broad scope, we may ﬁnd thatrecently immigrated youth are at particularly high risk,because they are in the early stages of adapting to a newenvironment and coping with the losses of leaving a hostcountry behind. Conversely, it may be that recentlyimmigrated youth retain protective elements of traditional
A hybrid approach to detect spatio-temporal outliers

A spatial outlier is a spatial referenced object whose non-spatial attribute values are significantly different from those of other spatially referenced objects in its spatial neighborhood. It represents locations that are significantly different from their neighborhoods even though they may not be significantly different from the entire population. Here we adopt this definition to spatio-temporal domain and define a spatialtemporal outlier (STO) to be a spatial-temporal referenced object whose thematic attribute values are significantly different from those of other spatially and temporally referenced objects in its spatial or/and temporal neighborhood. Identification of STOs can lead to the discovery of unexpected, interesting, and implicit knowledge, such as local instability. Many methods have been recently proposed to detect spatial outliers, but how to detect the temporal outliers or spatial-temporal outliers has been seldom discussed. In this paper we propose a hybrid approach which integrates several data mining methods such as clustering, aggregation and comparisons to detect the STOs by evaluating the change between consecutive spatial and temporal scales.
Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors

We present a dual contribution to the task of machine reading-comprehension: a technique for creating large-sized machine-comprehension (MC) datasets using paragraph-vector models; and a novel, hybrid neural-network architecture that combines the representation power of recurrent neural networks with the discriminative power of fully-connected multi-layered networks. We use the MC-dataset generation technique to build a dataset of around 2 million examples, for which we empirically determine the high-ceiling of human performance (around 91% accuracy), as well as the performance of a variety of computer models. Among all the models we have experimented with, our hybrid neural-network architecture achieves the highest performance (83.2% accuracy). The remaining gap to the human-performance ceiling provides enough room for future model improvements.
Perspectives on perspective-taking in communication research

ABSTRACT Perspective-taking is a construct essential to communication that has attracted the interest of communication scholars for decades. However, scholarship has varied considerably in its treatment of this concept. Through a review of 320 publications from 15 of the communication field’s journals from 1976 to 2015, we systematically cataloged how perspective-taking has been conceptualized and operationalized. Our analysis identified five relatively independent research traditions addressing this construct. We discuss the conceptual issues raised by this review, and propose an integrative definition of perspective-taking that seeks to address them. We conclude with conceptual and operational recommendations for researchers interested in perspective-taking, highlighting potential areas of investigation that communication scholars are uniquely positioned to explore.
Efficiently Coordinating Services for Querying Data in Dynamic Environments

In this paper we present our vision, and discuss the main research problems along with prospective solutions, on the evaluation of queries over data available and processable through services. In particular, we address queries in dynamic environments concerning aspects such as mobility and continuous data. These queries entail the potential of offering users ubiquitous access to relevant information in the form of value-added services. The core of our proposed approach, lies in the development of a services coordination framework complemented with proven traditional query processing techniques adapted to service-based environments. Thus, we derive the blueprint for an efficient solution for query evaluation in service-based contexts and their related application areas.
Wilderness State Park Volunteers: A Qualitative Case Study of Meaning and Sustainability

In an increasingly urbanized world, parks, open space and wilderness areas are vitally important to human well-being. California State Parks provide people with the ability to connect with nature and engage in outdoor recreation. Moreover, these parks protect natural and cultural resources and preserve biodiversity. California State Parks are underfunded and rely on volunteers to support essential park services. The Wilderness State Park Uniformed Volunteer Program provides essential recreation, resource protection, and biodiversity services. In order to determine the elements of the volunteering experience that contribute to a strong sense of volunteer identity and meaning, a qualitative case study was conducted using semi-structured interviews and grounded theory analysis. Results show that three themes emerge as providing a strong sense of meaning for volunteers: connecting with nature, working together, and helping others. Volunteers in this study demonstrated that they construct deep meaning around their volunteer experiences and foster an environmental stewardship identity within a framework of shared values, significance, goal-orientation, and belonging. This study has implications for volunteer satisfaction and retention as well as for overall sustainability of the parks’ mission.
A Fast Document Classification Algorithm Based on Improved KNN

A novel KNN classification algorithm combining model and evidence theory is proposed in this paper. The new method not only overcomes the main shortage of lazy learning in traditional KNN, but also takes the distances between samples to be recognized and samples in k-neighbors into account. At the same time the method resolves the unrecognizable cases of unknown samples. Applying the classification algorithm into the document recognition, experimental results show its satisfied recognition rate and fast categorization speed
Rutin and Luteolin from Spearmint (Mentha spicata L.) Leaves

In this study, supercritical carbon dioxide (SC-CO ) extraction conditions were optimized for the 2 simultaneous separation of four bioactive flavonoids (catechin, CA; epicatechin, EP; rutin, RU; luteolin, LU) contained in spearmint (Mentha spicata L.) leaves. SC-CO extraction parameters such as pressure, temperature 2 and dynamic extraction time were optimized by Complete Randomize Design (CRD) full factorial. The optimum condition of SC-CO extraction was achieved at 200 bar, 60°C and 60 min (with 60.566 mg/g extraction yield). 2 Extracted yield at optimum condition was then analyzed by high performance liquid chromatography (HPLC) for quantifying bioactive flavonoid compounds. At optimum conditions, four bioactive flavonoids including (+)-catechin, (-)-epicatechin, rutin and luteolin were detected at high concentration. Luteolin (0.657 mg/g) had the highest concentration among the other detected flavonoids. The results indicated that SC-CO extraction 2 is a promising and alternative process for recovering the bioactive compounds from spearmint leaves.
LexTec — a rich language resource for technical domains in Portuguese

The growing amount of available information and the importance given to the access to technical information enhance the potential role of NLP applications in enabling users to deal with information for a variety of knowledge domains. In this process, language resources are crucial. This paper presents Lextec, a rich computational language resource for technical vocabulary in Portuguese. Encoding a representative set of terms for ten different technical domains, this concept-based relational language resource combines a wide range of linguistic information by integrating each entry in a domain-specific wordnet and associating it with a precise definition for each lexicalization in the technical domain at stake, illustrative texts and information for translation into English.
Advanced analysis of finger-tapping performance: a preliminary study.

BACKGROUND The finger-tapping test is a commonly employed quantitative assessment tool used to measure motor performance in the upper extremities. This task is a complex motion that is affected by external stimuli, mood and health status. The complexity of this task is difficult to explain with a single average intertap-interval value (time difference between successive tappings) which only provides general information and neglects the temporal effects of the aforementioned factors. AIMS This study evaluated the time course of average intertap-interval values and the patterns of variation in both the right and left hands of right-handed subjects using a computer-based finger-tapping system. STUDY DESIGN Cross sectional study. METHODS Thirty eight male individuals aged between 20 and 28 years (Mean±SD = 22.24±1.65) participated in the study. Participants were asked to perform single-finger-tapping test for 10 seconds of test period. Only the results of right-handed (RH) 35 participants were considered in this study. The test records the time of tapping and saves data as the time difference between successive tappings for further analysis. The average number of tappings and the temporal fluctuation patterns of the intertap-intervals were calculated and compared. The variations in the intertap-interval were evaluated with the best curve fit method. RESULTS An average tapping speed or tapping rate can reliably be defined for a single-finger tapping test by analysing the graphically presented data of the number of tappings within the test period. However, a different presentation of the same data, namely the intertap-interval values, shows temporal variation as the number of tapping increases. Curve fitting applications indicate that the variation has a biphasic nature. CONCLUSION The measures obtained in this study reflect the complex nature of the finger-tapping task and are suggested to provide reliable information regarding hand performance. Moreover, the equation reflects both the variations in and the general patterns associated with the task.
Structural and Functional Characterization of Three DsbA Paralogues from Salmonella enterica Serovar Typhimurium*

In prototypic Escherichia coli K-12 the introduction of disulfide bonds into folding proteins is mediated by the Dsb family of enzymes, primarily through the actions of the highly oxidizing protein EcDsbA. Homologues of the Dsb catalysts are found in most bacteria. Interestingly, pathogens have developed distinct Dsb machineries that play a pivotal role in the biogenesis of virulence factors, hence contributing to their pathogenicity. Salmonella enterica serovar (sv.) Typhimurium encodes an extended number of sulfhydryl oxidases, namely SeDsbA, SeDsbL, and SeSrgA. Here we report a comprehensive analysis of the sv. Typhimurium thiol oxidative system through the structural and functional characterization of the three Salmonella DsbA paralogues. The three proteins share low sequence identity, which results in several unique three-dimensional characteristics, principally in areas involved in substrate binding and disulfide catalysis. Furthermore, the Salmonella DsbA-like proteins also have different redox properties. Whereas functional characterization revealed some degree of redundancy, the properties of SeDsbA, SeDsbL, and SeSrgA and their expression pattern in sv. Typhimurium indicate a diverse role for these enzymes in virulence.
Intermuscular Fat: A Review of the Consequences and Causes

Muscle's structural composition is an important factor underlying muscle strength and physical function in older adults. There is an increasing amount of research to support the clear disassociation between the loss of muscle lean tissue mass and strength with aging. This disassociation implies that factors in addition to lean muscle mass are responsible for the decreases in strength and function seen with aging. Intermuscular adipose tissue (IMAT) is a significant predictor of both muscle function and mobility function in older adults and across a wide variety of comorbid conditions such as stroke, spinal cord injury, diabetes, and COPD. IMAT is also implicated in metabolic dysfunction such as insulin resistance. The purpose of this narrative review is to provide a review of the implications of increased IMAT levels in metabolic, muscle, and mobility function. Potential treatment options to mitigate increasing levels of IMAT will also be discussed.
Long term photoacclimation responses of the coral Stylophora pistillata to reciprocal deep to shallow transplantation: photosynthesis and calcification

Reciprocal transplantation of Stylophora pistillata coral fragments between deep (30m) and shallow sites (3m) was conducted gradually and resulted with 100% survival. Photoacclimation of transplants at both depths showed two distinct phases: at the first phase, within two weeks, zooxanthellae density decreased below (at 3m) and increased beyond (at 30m) these of the control values at the new depth, while chlorophyll a per zooxanthellae cell remained as in the original depths, thereby fully adjusting areal chlorophyll concentration. On the second phase, after six months, zooxanthellae chlorophyll and their quantum yield (Fv/Fm) were adjusted at both new depths. Such regulated acclimation was also observed in the maximal photosynthesis rate of both transplants, whereas respiration adjustment was rapid. These results differ from previously reported rapid shade and light acclimation strategies hence we suggest that acclimation mechanism changes when certain symbiont type is exposed to depth out of its boundary zone. Despite seemingly having become physiologically acclimated, calcification at both new depths was only half the rate achieved by the controls, suggesting that the coral host requires even longer time than the symbionts to acclimate.
An Adaptive Energy Efficient Reliable Routing Protocol for Wireless Sensor Networks

A reliable routing protocol for wireless sensor networks (WSN) should be capable of adjusting to constantly varying network conditions while conserving maximum power. Existing Routing protocols provide reliability at the cost of high energy consumption. In this paper, we propose to develop an Adaptive Energy Efficient Reliable Routing Protocol (AEERRP) with the aim of keeping the energy consumption low while achieving high reliability. In our proposed protocol, the data forwarding probability is adaptively adjusted based on the measured loss conditions at the sink. So only for high loss rates, a node makes use of high transmission power to arrive at the sink. Whenever the loss rate is low, it adaptively lessens the transmission power. Since the source rebroadcasts the data, until the packet loss is minimized, high data reliability is achieved. By simulation results we show that the proposed protocol achieves high reliability while ensuring low energy consumption and overhead.
Attachment and Biobehavioral Catch-Up

Gloria was enrolled in the Attachment and Biobehavioral Catch-Up (ABC) intervention through a program in her city that was intended to reduce the incidence of foster care placement. Following her participation in the intervention, what is immediately striking about Gloria is that she lights up when interacting with her 2-year-old son, Nathan. When he pushes his toy truck under her feet, she says, “That truck is moving fast, Natie! ” Later, when he pricks his finger on a sharp edge of the truck, Gloria says, “Oh sweetie. I know that hurts,” and hugs him. These types of interactions are very different from her interactions several months earlier. When she enrolled in the program, Gloria felt overwhelmed by the challenges of raising Nathan. As a single mother with few resources, she had lived in shelters, motel rooms, and friends’ living rooms since his birth. Her own upbringing had not prepared her to be a sensitive or responsive parent. Her birth mother had struggled with alcoholism and had been both distant and punitive. Her birth father seemed a bright memory, but he had died when Gloria was very young. Nathan had come to feel like a burden to her. She rarely commented on his play other than to tell him not to do something. When he was hurt or frightened, she told him not to be a baby. Sometimes without knowing it, she reacted strongly and in ways that frightened Nathan. She was an ideal match with ABC’s targets. Overview of ABC
Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality

This paper considers an economy where skilled and unskilled workers use different technologies. The rate of improvement of each technology is determined by a profit-maximizing R&D sector. When there is a high proportion of skilled workers in the labour-force, the market for skill-complementary technologies is larger and more effort will be spent in upgrading the productivity of skilled workers. An implication of this theory is that when the relative supply of skilled workers increases exogenously, the skill premium decreases in the short run, but then increases, possibly even above its initial value, because the larger market for skill-complementary technologies has changed the direction of technical change. This suggests that the rapid increase in the proportion of college graduates in the US labour-force may have been causal in both the decline in the college premium during the 1970s and the large increase in inequality during the 1980s. The paper also derives implications of directed technical change for residual wage inequality and shows that calculations of the impact of international trade on inequality that ignore the change in the direction of technical progress may be misleading.
Improving the lens design and performance of a contemporary electromagnetic shock wave lithotripter

Significance Electromagnetic (EM) shock wave lithotripters are widely used for noninvasive treatment of kidney stone patients. Here, we report the design of a new acoustic lens to rectify three fundamental drawbacks in contemporary EM lithotripters, based on in situ pulse superposition, leading to significantly improved stone comminution both in vitro and in vivo with minimal tissue injury. The new lens design improves the pressure distribution around the lithotripter focus with better alignment of the peak pressure and cavitation activities with the kidney stones under clinically relevant treatment conditions. The general principle of the new lens design is applicable to different lenses or reflectors and with further optimizations may enhance the performance and safety of contemporary EM lithotripters. The efficiency of shock wave lithotripsy (SWL), a noninvasive first-line therapy for millions of nephrolithiasis patients, has not improved substantially in the past two decades, especially in regard to stone clearance. Here, we report a new acoustic lens design for a contemporary electromagnetic (EM) shock wave lithotripter, based on recently acquired knowledge of the key lithotripter field characteristics that correlate with efficient and safe SWL. The new lens design addresses concomitantly three fundamental drawbacks in EM lithotripters, namely, narrow focal width, nonidealized pulse profile, and significant misalignment in acoustic focus and cavitation activities with the target stone at high output settings. Key design features and performance of the new lens were evaluated using model calculations and experimental measurements against the original lens under comparable acoustic pulse energy (E+) of 40 mJ. The −6-dB focal width of the new lens was enhanced from 7.4 to 11 mm at this energy level, and peak pressure (41 MPa) and maximum cavitation activity were both realigned to be within 5 mm of the lithotripter focus. Stone comminution produced by the new lens was either statistically improved or similar to that of the original lens under various in vitro test conditions and was significantly improved in vivo in a swine model (89% vs. 54%, P = 0.01), and tissue injury was minimal using a clinical treatment protocol. The general principle and associated techniques described in this work can be applied to design improvement of all EM lithotripters.
Integrating technologies for building a wireless home automation system: A practical implementation

In recent years, the development of technologies for automating homes and buildings has highly increased, boomed mainly by wireless communication and microcontrollers development. The problem is that the cost is hardly attractive resulting in applications usually in fancy buildings. However, a great variety of features is currently available on mobile devices, resulting in good candidates to reduce cost and to improve acceptance. Several researches have discussed about the architecture and design of Building Automation Systems, but only a few discuss the reuse of easily available technologies. This paper describes a practical implementation of a Building Automation System which combines the use of technologies available on smart phones with Wireless Sensor Network and low cost microcontrollers. A prototype was developed and can be applied to houses or buildings. The prototype was tested with the more usual appliances and the performance of communication was evaluated.