Miracle-dz/UniFAR-FTUs huggingface dataset:
Mediating the Relationship Between Parental Control/Support and Offspring Delinquency: Self-Efficacy for a Conventional Lifestyle Versus Self-Efficacy for Deviance

This study sought to determine whether self-efficacy for a conventional lifestyle mediated the relationship between parental control/support and offspring delinquency using longitudinal data supplied by 2,252 (1,145 boys, 1,107 girls) high school students surveyed in the 10th, 11th, and 12th grades. The results of a three-regression negative binomial analysis revealed that self-efficacy for a conventional lifestyle mediated the relationships between Wave 1 parental monitoring and attachment, on one hand, and Wave 3 delinquency, on the other hand. Comparison pathways mediated by self-efficacy for deviance, consistent with predictions, did not achieve significance. These results indicate that a social cognitive variable, self-efficacy for a conventional lifestyle, may be partially responsible for the delinquency-inhibiting effects of parental control (monitoring) and support (attachment).
De-escalation, adequacy of antibiotic therapy and culture positivity in septic patients: an observational study

Objective To evaluate the prevalence of antibiotic de-escalation in patients diagnosed with severe sepsis or septic shock at a public academic tertiary hospital and to evaluate antibiotic adequacy and culture positivity. Methods The prevalence of antibiotic de-escalation, the adequacy of antibiotic treatment and the rates of culture positivity were analyzed in patients with severe sepsis and septic shock between April and December 2013 at an intensive care unit in a tertiary university hospital. Results Among the 224 patients included in the study, de-escalation was appropriate in 66 patients (29.4%) but was implemented in 44 patients (19.6%). Among the patients who underwent de-escalation, half experienced narrowing of the antimicrobial spectrum. The mortality rate was 56.3%, with no differences between the patients with or without de-escalation (56.8% versus 56.1%; p = 0.999) nor in the length of hospital stay. Empirical antibiotic therapy was appropriate in 89% of cases. Microorganisms were isolated from total cultures in 30% of cases and from blood cultures in 26.3% of cases. Conclusion The adequacy rate of empirical antibiotic therapy was high, reflecting an active institutional policy of monitoring epidemiological profiles and institutional protocols on antimicrobial use. However, antibiotic de-escalation could have been implemented in a greater number of patients. De-escalation did not affect mortality rates.
Increasing employability by implementing a Work-Integrated Learning partnership model in South Africa – A student perspective

ABSTRACT In South Africa, 70 per cent of the population is under 35 years old. South Africa has a vision to increase youth employment by focusing on education, training and skills development that will promote employment opportunities. A work-integrated learning (WIL) partnership model was developed to provide students with work experience and to increase their employability. this article presents the research on the perspectives of students subsequent to their WIL experience. the research method consisted of a structured questionnaire with both closed and open-ended questions. The study findings indicated that students were capable of seeking their own WIL placement and that over 90 per cent of students experienced WIL as rewarding, with multiple opportunities for employment. the article adds theoretical value by increasing the WIL body of knowledge from a student perspective, as well as strategic and practical value by presenting the WIL partnership model that may easily be implemented by lecturers in various disciplines across the continent of Africa and beyond to enable students to enter the workplace with confidence.
A 10-Week Multimodal Nutrition Education Intervention Improves Dietary Intake among University Students: Cluster Randomised Controlled Trial

The aim of the study was to evaluate the effectiveness of implementing multimodal nutrition education intervention (NEI) to improve dietary intake among university students. The design of study used was cluster randomised controlled design at four public universities in East Coast of Malaysia. A total of 417 university students participated in the study. They were randomly selected and assigned into two arms, that is, intervention group (IG) or control group (CG) according to their cluster. The IG received 10-week multimodal intervention using three modes (conventional lecture, brochures, and text messages) while CG did not receive any intervention. Dietary intake was assessed before and after intervention and outcomes reported as nutrient intakes as well as average daily servings of food intake. Analysis of covariance (ANCOVA) and adjusted effect size were used to determine difference in dietary changes between groups and time. Results showed that, compared to CG, participants in IG significantly improved their dietary intake by increasing their energy intake, carbohydrate, calcium, vitamin C and thiamine, fruits and 100% fruit juice, fish, egg, milk, and dairy products while at the same time significantly decreased their processed food intake. In conclusion, multimodal NEI focusing on healthy eating promotion is an effective approach to improve dietary intakes among university students.
Dividend Growth Predictability and the Price-Dividend Ratio

Conventional tests of present-value models over-reject the null of no predictability. In order to better account for the intrinsic probability of detecting predictive relations by chance alone, we develop a new nonparametric Monte Carlo testing method, which does not rely on distributional assumptions to aggregate the information from the time series of price-dividend ratios and dividend growth. We find evidence of return predictability, but no apparent evidence of dividend growth predictability in postwar US data, thus reconciling the diverging conclusions in the literature. Our findings are robust to the specification of the predictive information set, the choice of the sample period and the use of different cash-flow proxies.
SHORT-BEAKED COMMON DOLPHIN (Delphinus delphis):

these could not be identified to species. One animal, which stranded in 1983, was identified as a short-beaked common dolphin (J. Hodder, pers. comm.). Significant seasonal shifts in the abundance and 30°0'0"N distribution of common dolphins have been identified based on 130°0'0"W 125°0'0"W 120°0'0"W winter/spring 1991-92 and summer/fall 1991 surveys (Forney Figure 1. Short-beaked common dolphin sightings and Barlow 1998). Their based on shipboard surveys off California, Oregon, and distribution is continuous southward Washington, 19912005 (see Appendix 2, for data into Mexican waters to about 13N sources and information on timing and location of (Perrin et al. 1985; Wade and survey effort). No Delphinus sightings have been made Gerrodette 1993; Mangels and off Washington. Dashed line represents the U.S. EEZ, Gerrodette 1994), and short-beaked thin lines indicate completed transect effort of all common dolphins off California may be surveys combined. an extension of the "northern common dolphin" stock defined for management of eastern tropical Pacific tuna fisheries (Perrin et al. 1985). However, preliminary data on variation in dorsal fin color patterns suggest there may be multiple stocks in this region, including at least two possible stocks in California (Farley 1995). The less abundant long-beaked common dolphin has only recently been recognized as a different species (Heyning and Perrin 1994; Rosel et al. 1994), and much of the available information has not differentiated between the two types of common dolphin. Although short-beaked common dolphins are not restricted to U.S. waters, cooperative management agreements with Mexico exist only for the tuna purse seine fishery and not for other fisheries which may take this species (e.g. gillnet fisheries). Under the Marine Mammal Protection Act (MMPA), short-beaked common dolphins involved in tuna purse seine fisheries in international waters of the eastern tropical Pacific are managed separately, and they are not included in the assessment reports. For the MMPA stock assessment reports, there is a WASHINGTON
A Compact Articial Bee Colony Optimization for Topology Control Scheme in Wireless Sensor Networks

In this paper, a compact Articial Bee Colony optimization method (cABC) for applying to the topology optimization of wireless sensor networks (WSNs) is presented. The purpose of compact algorithms is to address to the computational requirements in the limited resources of hardware devices such as memory size or low price. A probabilistic representation random of the collection behavior of social bee colony is inspired to employ for this proposed algorithm. The real population is replaced with the probability vector updated based on single competition. These lead to a modest memory usage when the en- tire algorithm is applied. Four selected test functions are used to evaluate the accuracy, computational time and memory saving of the proposed method. The experimental re- sults show that the proposed cABC method is not only as accurate as the existing original Articial Bee Colony optimization but also requires less calculative time than the origi- nal method and uses a modest memory with only six agents needed for storing space. In addition, compared with the genetic algorithm (GA) method and the particle swarm optimization (PSO) method, the proposed cABC method can provide the highest robust structure and lowest contention topology schemes. Keywords: Bee colony algorithm, Compact articial bee colony algorithm, Optimiza- tions, Swarm intelligence, Topology control, Wireless sensor networks.
Mental disorder and perceived threat to the public: people who do not return to community living.

BACKGROUND In the UK, people with mental disorder thought to pose a high risk of harm to others are usually put in a high-security (special) hospital. Little is known about what happens after that. AIMS To test a hypothesis that, under current services and laws (from the mid-1980s), no one leaving high-security hospitals remains indefinitely institutionalised. METHOD The special hospitals' case register was used for case ascertainment and admission data; post-discharge data were collected from multiple sources on patients discharged in 1984 (census date 31.12.1995). RESULTS In this discharge cohort (n=223), 36 (17%) did not return to the community: 17 died in special hospital and 19 continuously lived in other institutions until death or the census date. Over two-thirds of these had mental illness, were older on admission and had lived longer in special hospital than their better-rehabilitated peers. Offending history was irrelevant to this. Most post-discharge institution time was in open psychiatric hospital, or back in special hospital, not in medium secure units or prison. CONCLUSIONS The hypothesis was not sustained, but fewer people never reached the community than before the mid-1980s. Atypical antipsychotics might reduce this number. We found no justification for a new tier of long-term medium secure units.
X-ray analysis of butirosin biosynthetic enzyme BtrN redefines structural motifs for AdoMet radical chemistry

Significance AdoMet radical enzymes harness the power of radical-based chemistry to carry out complex chemical transformations. The structure of butirosin biosynthethic enzyme BtrN reveals both unforeseen differences and surprising similarities compared with other members of this rapidly expanding enzyme superfamily. In particular, variations in how BtrN binds S-adenosyl-L-methionine (AdoMet) warrant redefinition of the core fold responsible for adenosyl-radical generation whereas similarities in how BtrN binds an auxiliary iron–sulfur cluster provide the basis for assignment of a previously undescribed structural motif. The 2-deoxy-scyllo-inosamine (DOIA) dehydrogenases are key enzymes in the biosynthesis of 2-deoxystreptamine–containing aminoglycoside antibiotics. In contrast to most DOIA dehydrogenases, which are NAD-dependent, the DOIA dehydrogenase from Bacillus circulans (BtrN) is an S-adenosyl-l-methionine (AdoMet) radical enzyme. To examine how BtrN employs AdoMet radical chemistry, we have determined its structure with AdoMet and substrate to 1.56 Å resolution. We find a previously undescribed modification to the core AdoMet radical fold: instead of the canonical (β/α)6 architecture, BtrN displays a (β5/α4) motif. We further find that an auxiliary [4Fe-4S] cluster in BtrN, thought to bind substrate, is instead implicated in substrate–radical oxidation. High structural homology in the auxiliary cluster binding region between BtrN, fellow AdoMet radical dehydrogenase anSME, and molybdenum cofactor biosynthetic enzyme MoaA provides support for the establishment of an AdoMet radical structural motif that is likely common to ∼6,400 uncharacterized AdoMet radical enzymes.
Quantum Theory at the Crossroads: Reconsidering the 1927 Solvay Conference [Book Review]

Can the reassessment of a historical debate contribute to the better understanding of an open philosophical question? The editors of this volume say that it can. The open question concerns the interpretation of quantum mechanics. The historical debate under review is the famous 1927 Solvay conference in Brussels. According to the received view, the standard Copenhagen interpretation was established as the canonical understanding of the new concepts brought about by quantum mechanics during that conference. The conference is remembered, above all, for the famous debate between Bohr and Einstein about the limits and understanding of the quantum uncertainty relations. Again and again, the received view has it, Einstein would come up with ideas for an experiment proving the inconsistency or incompleteness of the new quantum theoretical concepts. And again and again, Bohr would come up with a refutation of Einstein's challenge, proving the Copenhagen interpretation to be consistent and inevitable. But we really know about that debate between Einstein and Bohr only from the latter's own account, published some twenty years later in Paul Arthur Schilpp's Albert Einstein: Philosopher‐Scientist (Open Court, 1949). Contemporary accounts, most importantly a famous letter by Ehrenfest, are less explicit and more equivocal about the debate between Bohr and Einstein.
Mathematical remarks on transcritical bifurcation in Hamiltonian systems

This article is meant as a mathematical appendix or comment on [BT]. We first consider the notion of transcritical bifurcations of fixed points of general area-preserving maps, and then adress some questions related to [BT] on bifurcation in Poincar\'e maps of 2-dimensional Hamiltonian systems. [BT] M. Brack and K. Tanaka, arXiv:0705.0753
Order Print-on-demand Copies From: Table of Contents Predictions for Self-priming from Incremental Updating Models Unifying Comprehension and Production Pragmatic Alignment on Social Support Type in Health Forum Conversations Fusion of Compositional Network-based and Lexical Function Distributional 

ii Introduction The papers in these proceedings were presented at the 6th annual workshop on Cognitive Modeling and Computational Linguistics (CMCL), held in Denver, Colorado on June 4th, 2015. As with earlier CMCL meetings, CMCL 2015 provided a venue to support a broad spectrum of computational psycholinguistic inquiry. This year, we were pleased to receive fifteen submissions, ten of which were selected for final presentation at the workshop and are included in these proceedings. The submissions this year were exceptionally strong and reviewers commented that many of them could easily have been accepted as main conference submissions. We would like to thank all submitting authors for the quality and variety of the papers we received, and we would like to thank the program committee for their time, expertise, and insightful comments on the submissions. Thanks to the generous support of our sponsors, we were able to obtain invited speakers and provide travel grants to a number of student authors. We extend our appreciation to our invited speakers, Dr. for sharing their work with us. Thanks to everyone for your continued support of this workshop and for helping to foster the growth of the field of computational psycholinguistics. Abstract Syntactic priming from comprehension to production has been shown to be robust: we are more likely to repeat structures that we have previously heard. Many current models do not distinguish between comprehension and production. Here we contrast human language processing with two variants of a Bayesian belief updating model. In the first model, production-to-production priming (i.e. self-priming) is as strong as comprehension-to-production priming. In the second, both individuals who self-prime and those who do not are exposed to a syntactic construction via comprehension. Our results suggest that when production-to-production priming is as robust as comprehension-to-production priming , then speakers who self-prime are simultaneously less likely to be primed by input from comprehension and demonstrate different distributions of responses than speakers who do not self-prime. The computational model accords with recent results demonstrating no self-priming, and provides evidence for an account of syntactic priming that distinguishes between production and comprehension input.
Budget Strategy in Uncertain Environments of Search Auctions: A Preliminary Investigation

How to rationally allocate the limited advertising budget is a critical issue in sponsored search auctions. There are plenty of uncertainties in the mapping from the budget into the advertising performance. This paper presented some preliminary efforts to deal with uncertainties in search marketing environments, following principles of a hierarchical budget optimization framework (BOF). We proposed a stochastic, risk-constrained budget strategy, by considering a random factor of clicks per unit cost to capture a kind of uncertainty at the campaign level. Uncertainties of random factors at the campaign level lead to risk at the market/system level. We also proved its theoretical soundness through analyzing some desirable properties. Some computational experiments were made to evaluate our proposed budget strategy with real-word data collected from reports and logs of search advertising campaigns. Experimental results illustrated that our strategy outperforms two baseline strategies. We also noticed that 1) the risk tolerance has great influences on the determination of optimal budget solutions; 2) the higher risk tolerance leads to more expected revenues.
iTaxi : Context-Aware Taxi Demand Hotspots Prediction Using Ontology and Data Mining Approaches

It has been estimated that over 60 thousand licensed taxis in the Great Taipei area are not occupied over 70 percent of driving time on average. However, the taxi company, TaiwanTaxi, indicates that even in rush hour, there are customers whose requests are not satisfied. The demand and supply are not paired, causing not only customers wait too long for a cab, but also taxi drivers waste time and fuel to wander around the streets. In this paper, it uses spatial statistics analysis, data mining and clustering algorithm on historical data of taxi requests to discover the demand distribution, which varies from different environment contextual information such as the location, time, and weather. Finally, the predicting system then predicts potential hotspots of taxi requests and provides hotspots information for drivers to reduce vacant time of the taxi.
In Search of the Best Method for Sentence Alignment in Parallel Texts

After a brief account of a parallel corpus project involvingmany diverse languages and a summary of two previous evaluations of sentential alignment tools, results are presented from tests of three automatic aligners on English-Czech and French-Czech literary and legal texts, clean and noisy. The results confirm that an alignment tool may performwell on one type of texts and fail on another type, and indicate that near-to-perfect alignment is possible when tools providing high precision are combined with manual checking, where the proofreader can focus only on those parts of the text that were either not aligned at all, or that were aligned less reliably. Further gains in precision are shown to be feasible when alignments proposed by multiple aligners are intersected.
The effects of nonstandard work schedules on workers' health: A mediating role of work‐to‐family conflict

This study examined the relationship between nonstandard work schedules, work-to-family conflict, and health status in the USA adult population. Based on pooled data from the 2006, 2010, and 2014 General Social Survey (N = 4,108), this study found that nonstandard work schedules were associated with poor self-rated health and increased days of poor physical and mental health. Also, results from the causal mediation analysis indicated that the relationship between nonstandard work schedules and health status was significantly mediated by work-to-family conflict. These findings suggest that work-to-family conflict may be an important mechanism through which nonstandard work schedules affect workers' health status.
A Quality-of-Experience Index for Streaming Video

With the rapid growth of streaming media applications, there has been a strong demand of quality-of-experience (QoE) measurement and QoE-driven video delivery technologies. Most existing methods rely on bitrate and global statistics of stalling events for QoE prediction. This is problematic for two reasons. First, using the same bitrate to encode different video content results in drastically different presentation quality. Second, the interactions between video presentation quality and playback stalling experiences are not accounted for. In this work, we first build a streaming video database and carry out a subjective user study to investigate the human responses to the combined effect of video compression, initial buffering, and stalling. We then propose a novel QoE prediction approach named Streaming QoE Index that accounts for the instantaneous quality degradation due to perceptual video presentation impairment, the playback stalling events, and the instantaneous interactions between them. Experimental results show that the proposed model is in close agreement with subjective opinions and significantly outperforms existing QoE models. The proposed model provides a highly effective and efficient meanings for QoE prediction in video streaming services. 1
Hierarchical Bayesian-Kalman models for regularisation and ARD in sequential learning

In this paper, we show that a hierarchical Bayesian modelling approach to sequential learning leads to many interesting attributes such as regularisation and automatic relevance determination. We identify three inference levels within this hierarchy, namely model selection, parameter estimation and noise estimation. In environments where data arrives sequentially, techniques such as cross-validation to achieve regularisation or model selection are not possible. The Bayesian approach, with extended Kalman ltering at the parameter estimation level, allows for regularisation within a minimum variance framework. A multi-layer perceptron is used to generate the extended Kalman lter nonlinear measurements mapping. We describe several algorithms at the noise estimation level, which allow us to implement adaptive regularisation and automatic relevance determination of model inputs and basis functions. An important contribution of this paper is to show the theoretical links between adaptive noise estimation in extended Kalman ltering, multiple adaptive learning rates and multiple smoothing regularisation coe cients. i