Miracle-dz/UniFAR-FTUs huggingface dataset:
Protocol for a cohort study of adolescent mental health service users with a nested cluster randomised controlled trial to assess the clinical and cost-effectiveness of managed transition in improving transitions from child to adult mental health services (the MILESTONE study)

Introduction Disruption of care during transition from child and adolescent mental health services (CAMHS) to adult mental health services may adversely affect the health and well-being of service users. The MILESTONE (Managing the Link and Strengthening Transition from Child to Adult Mental Healthcare) study evaluates the longitudinal course and outcomes of adolescents approaching the transition boundary (TB) of their CAMHS and determines the effectiveness of the model of managed transition in improving outcomes, compared with usual care. Methods and analysis This is a cohort study with a nested cluster randomised controlled trial. Recruited CAMHS have been randomised to provide either (1) managed transition using the Transition Readiness and Appropriateness Measure score summary as a decision aid, or (2) usual care for young people reaching the TB. Participants are young people within 1 year of reaching the TB of their CAMHS in eight European countries; one parent/carer and a CAMHS clinician for each recruited young person; and adult mental health clinician or other community-based care provider, if young person transitions. The primary outcome is Health of the Nation Outcome Scale for Children and Adolescents (HoNOSCA) measuring health and social functioning at 15 months postintervention. The secondary outcomes include mental health, quality of life, transition experience and healthcare usage assessed at 9, 15 and 24 months postintervention. With a mean cluster size of 21, a total of 840 participants randomised in a 1:2 intervention to control are required, providing 89% power to detect a difference in HoNOSCA score of 0.30 SD. The addition of 210 recruits for the cohort study ensures sufficient power for studying predictors, resulting in 1050 participants and an approximate 1:3 randomisation. Ethics and dissemination The study protocol was approved by the UK National Research Ethics Service (15/WM/0052) and equivalent ethics boards in participating countries. Results will be reported at conferences, in peer-reviewed publications and to all relevant stakeholder groups. Trial registration number ISRCTN83240263; NCT03013595 (pre-results).
In vivo and in vitro liver and gill EROD activity in rainbow trout (Oncorhynchus mykiss) exposed to the beta‐blocker propranolol

The conservation of common physiological systems across vertebrate classes suggests the potential for certain pharmaceuticals, which have been detected in surface waters, to produce biological effects in nontarget vertebrates such as fish. However, previous studies assessing the effects of such compounds in fish have not taken into account the potential for metabolism and elimination. This study aimed to assess if propranolol, a β‐adrenergic receptor antagonist or β‐blocker, could modulate EROD activity (indicative of CYP1A activity) in rainbow trout (Oncorhynchus mykiss) gills and liver. For this, an in vivo time course exposure with 1 mg/L was conducted. Additionally, using measured in vivo plasma concentrations, an in vitro exposure at human therapeutic levels was undertaken. This allowed comparison of in vitro and in vivo rates of EROD activity, thus investigating the applicability of cell preparations as surrogates for whole animal enzyme activity analysis. In vitro exposure of suspended liver and gill cells at concentrations similar to in vivo levels resulted in EROD activity in both tissues, but with significantly higher rates (up to six times in vivo levels). These results show that propranolol exposure elevated EROD activity in the liver and gill of rainbow trout, and that this is demonstrable both in vivo (albeit nonsignificantly in the liver) and in vitro, thus supporting the use of the latter as a surrogate of the former. These data also provide an insight into the potential role of the gill as a site of metabolism of pharmaceuticals in trout, suggesting that propranolol (and feasibly other pharmaceuticals) may undergo “first pass” metabolism in this organ. © 2011 Wiley Periodicals, Inc. Environ Toxicol 2012.
Research on the relationship between group-purchasing service quality and customer loyalty in hotel industry

Emerging and increasingly popular in recent years, Groupons, as a brand-new marketing channel, have been not only applauded by kinds of enterprises, but also drawn attention of academics. This paper centers on the causal relationship between group-purchasing service quality and customer loyalty in hotel industry. First, the concepts of service quality, customer perceived value and customer loyalty are introduced through brief literature review. Second, the service process the customer experienced is divided into two successive periods of Groupon service and hotel service, and then a research model is established with customer perceived value as a mediator. Third, the data, collected from successful questionnaire research through the Internet and field study, is analyzed with SPSS to unveil the mechanism within, and the main results suggest that (1) hotel service quality exerts a positive effect on customer loyalty, so does it with partial mediation, (2) Groupon service quality positively influences customer loyalty, so does it with partial mediation, and (3) the causal relationship is verified. Finally, corresponding managerial implications are given.
Detritus Type Alters the Outcome of Interspecific Competition Between Aedes aegypti and Aedes albopictus (Diptera: Culicidae)

Abstract Many studies of interspecific competition between Aedes albopictus (Skuse) and Aedes aegypti (L.) (Diptera: Culicidae) larvae show that Ae. albopictus are superior resource competitors to Ae. aegypti. Single-species studies indicate that growth and survival of Ae. albopictus and Ae. aegypti larvae are affected by the type of detritus present in containers, which presumably affects the amount and quality of microorganisms that the mosquito larvae consume. We tested whether different detritus types alter the intensity of larval competition by raising 10 different density/species combinations of Ae. albopictus and Ae. aegypti larvae under standard laboratory conditions, with one of four detritus types (oak, pine, grass, or insect) provided as a nutrient base. Intraspecific competitive effects on survival were present with all detritus types. Ae. albopictus survivorship was unaffected by interspecific competition in all treatments. Negative interspecific effects on Ae. aegypti survivorship were present with three of four detritus types, but absent with grass. Estimated finite rate of increase (λ’) was lower with pine detritus than with any other detritus type for both species. Furthermore, Ae. aegypti λ’ was negatively affected by high interspecific density in all detritus types except grass. Thus, our experiment confirms competitive asymmetry in favor of Ae. albopictus with oak, pine, or insect detritus, but also demonstrates that certain detritus types may eliminate interspecific competition among the larvae of these species, which may allow for stable coexistence. Such variation in competitive outcome with detritus type may help to account for observed patterns of coexistence/exclusion of Ae. albopictus and Ae. aegypti in the field.
An Energy-Efficient Clustering Routing Algorithm Based on Geographic Position and Residual Energy for Wireless Sensor Network

Recently wireless sensor network (WSN) has become one of the most interesting networking technologies, since it can be deployed without communication infrastructures. A sensor network is composed of a large number of sensor nodes; these nodes are responsible for supervision of the physical phenomenon and transmission of the periodical results to the base station. Therefore, improving the energy efficiency and maximizing the networking lifetime are the major challenges in this kind of networks. To deal with this, a hierarchical clustering scheme, called Location-Energy Spectral Cluster Algorithm (LESCA), is proposed in this paper. LESCA determines automatically the number of clusters in a network. It is based on spectral classification and considers both the residual energy and some properties of nodes. In fact, our approach uses the K-ways algorithm and proposes new features of the network nodes such as average energy, distance to BS, and distance to clusters centers in order to determine the clusters and to elect the cluster's heads of a WSN. The simulation results show that if the clusters are not constructed in an optimal way and/or the number of the clusters is greater or less than the optimal number of clusters, the total consumed energy of the sensor network per round is increased exponentially.
Neurological outcome in a series of 58 patients operated for traumatic thoracolumbar spinal cord injuries

Background: Traumatic thoracolumbar spinal fractures represent approximately 65% of all traumatic spinal fractures and are frequently associated to permanent disability with significant social and economic impact. These injuries create severe physical limitations depending on neurological status, level of fracture, severity of injury, patient age and comorbidities. Predicting neurological improvement in patients with traumatic spinal cord injuries (SCIs) is very difficult because it is related to different preoperative prognostic factors. We evaluated the neurological improvement related to the preoperative neurological conditions and the anatomic level of spinal cord injury. Methods: From January 2004 to June 2010, we operated 207 patients for unstable thoracolumbar spinal fractures. We carried out a retrospective analysis of 69 patients with traumatic SCIs operated on by a posterior fixation performed within 24 hours from the trauma. The preoperative neurological conditions (ASIA grade), the type of the fracture, the anatomic level of spinal cord injury and the postoperative neurological improvement were evaluated for each patient. Results: The ASIA grade at admission (P = 0,0005), the fracture type according to the AO spine classification (P = 0,0002), and the anatomic location of the injury (P = 0,0213) represented predictive factors of neurological improvement at univariate analysis. The preoperative neurological status (P = 0,0491) and the fracture type (P = 0,049) confirmed a positive predictive value also in the multivariate analysis. Conclusions: Our study confirms that the preoperative neurological status, the fracture type and the anatomic location of the fracture are predictive factors of the neurological outcome in patients with spinal cord injury.
Bulk magnetic susceptibility effects on the assessment of intra‐ and extramyocellular lipids in vivo

Localized proton spectroscopy provides a novel method for noninvasive measurement of lipid content in skeletal muscle. It has been suggested that the chemical shift difference between lipid signals from distinct compartments in skeletal muscle might be caused by bulk magnetic susceptibility (BMS) differences from lipids stored in intra‐ (IMCL) and extramyocellular (EMCL) compartments. Direct evidence is provided to confirm the theoretical prediction that compartment symmetry is responsible for discrimination between resonances of IMCL and EMCL. Phantoms imitating lipids in skeletal muscle were constructed using soybean oil to represent EMCL, and Intralipid™, an intravenous fat emulsion of fine droplets, to represent IMCL. It was found that the chemical shift of Intralipid™ is independent of the BMS effects, while the resonance of soybean oil shifts in a predictable manner determined by the geometry of the compartment. Magn Reson Med 47:607–610, 2002. © 2002 Wiley‐Liss, Inc.
Measuring Contagion in the Diffusion of Consumer Packaged Goods

This study measures the degree of contagion or interpersonal influence in the diffusion of new consumer packaged goods (CPGs). The authors demonstrate that when an individual-level trial hazard model is properly specified to account for potential sources of biases, substantial contagion effects may be detected in the diffusion of many CPGs. Using longitudinal panel data on individual-level trial and repeat purchases of 67 newly introduced CPGs, they show that standard diffusion models fail to detect contagion. However, after extending the model to allow for spatial and temporal heterogeneity in contagion and controlling for various cross-sectional and temporal confounds, they find statistically significant contagion effects in 33 to 40 of the 67 sample products. The empirical evidence of contagion in the diffusion of many CPGs has important implications because most new product trial models for CPGs have assumed a priori that there is no contagion in the diffusion of these products. Moreover, the individual-level simultaneous analysis of the diffusion of 67 newly introduced CPGs provides useful insights into the unobservable network of influences among consumers. Such analysis allows a vendor to identify the most influential early adopters among its customers, who could help diffuse a new product more effectively in the market.
Digital PCR: Endless Frontier of ‘Divide and Conquer’

Digital polymerase chain reaction (PCR) is becoming ever more recognized amid the overwhelming revolution in DNA quantification, genomics, genetics, and diagnostics led by technologies such as next generation sequencing and studies at the single-cell level. The demand to quantify the amount of DNA and RNA has been driven to the molecular level and digital PCR, with its unprecedented quantification capability, is sure to shine in the coming era. Two decades ago, it emerged as a concept; yet one decade ago, integration with microfluidics invigorated this field. Today, many methods have come to public knowledge and applications surrounding digital PCR is mounting. However, to reach wider accessibility and better practicality, efforts are needed to tackle the remaining problems. This perspective looks back at several inspiring and influential digital PCR approaches in the past and tries to provide a futuristic picture of the trends of digital PCR technologies to come.
Power-efficient Electronic Burst Switching for Large File Transactions

Much of the growth in bandwidth demand and power consumption in today’s Internet is driven by the transport of large media files. This work presents a power-efficient overlay network specifically designed using electronic burst switching for these large files. The two approaches are presented in which electronic bursts or media frames (MF) containing >1Mb are routed in a manner similar to UDP or concatenated into periodic semi-transparent chains and routed using a two-way reservation protocol. Utilization, blocking, delay and buffer size are compared to UDP/IP by means of simulation. Both approaches dramatically reduce header-related power consumption. Concatenation also reduces significantly the amount of buffer space required. A representative router design is evaluated showing a potential energy saving of roughly 80% relative to standard IP routers.
Generalized linear modeling with regularization for detecting common disease rare haplotype association

Whole genome association studies (WGAS) have surged in popularity in recent years as technological advances have made large‐scale genotyping more feasible and as new exciting results offer tremendous hope and optimism. The logic of WGAS rests upon the common disease/common variant (CD/CV) hypothesis. Detection of association under the common disease/rare variant (CD/RV) scenario is much harder, and the current practices of WGAS may be under‐power without large enough sample sizes. In this article, we propose a generalized linear model with regularization (rGLM) approach for detecting disease‐haplotype association using unphased single nucleotide polymorphisms data that is applicable to both CD/CV and CD/RV scenarios. We borrow a dimension‐reduction method from the data mining and statistical learning literature, but use it for the purpose of weeding out haplotypes that are not associated with the disease so that the associated haplotypes, especially those that are rare, can stand out and be accounted for more precisely. By using high‐dimensional data analysis techniques, which are frequently employed in microarray analyses, interacting effects among haplotypes in different blocks can be investigated without much concern about the sample size being overwhelmed by the number of haplotype combinations. Our simulation study demonstrates the gain in power for detecting associations with moderate sample sizes. For detecting association under CD/RV, regression type methods such as that implemented in hapassoc may fail to provide coefficient estimates for rare associated haplotypes, resulting in a loss of power compared to rGLM. Furthermore, our results indicate that rGLM can uncover the associated variants much more frequently than can hapassoc. Genet. Epidemiol. 2009. © 2008 Wiley‐Liss, Inc.
Diffraction of circularly polarized light from near‐field optical probes

Diffracted fields from 100‐nm aperture near‐field scanning optical microscopy (NSOM) probes and uncoated tapered fibres are measured and analysed. Using a solid angle scanner, the two‐dimensional intensity distribution and polarization state of the diffracted light are resolved experimentally. Polarization analyses show that circularly polarized input light does not maintain its polarization state for all diffraction angles, and is completely filtered into linearly polarized light at large polar diffraction angles. This drastic decomposition originates from the vector nature of light diffracted by the sub‐wavelength aperture. There is a fundamental difficulty in generating circularly polarized light near the aperture of NSOM probes owing to polarization‐dependent diffraction in the near‐field regime. This is illustrated by the Bethe‐Bouwkamp model using circularly polarized input light.
An adaptive-weight regularization method for multi-classifier fusion decision

The difficulties of aircraft type recognition methods are introduced and the necessity of multi-classifier fusion decision method is discussed. The some kinds of invariants: Hu moments, Affine moments, Zernike moments, Wavelet moments, are used for constructing four SVM classifiers. Based on the above four classifiers, an adaptive-weight regularization method is proposed for improving aircraft type classification performance. Experiments are shown that, the recognition rate by the proposed method in this paper is better than any classifier of the above four classifiers, the fixed-weight multi-classifier fusion method and the majority multi-classifier fusion method.
Three different techniques for administering analgesia during transrectal ultrasound-guided prostate biopsy: a comparative study.

PURPOSE The efficacy of three different analgesic techniques during transrectal ultrasound (TRUS) guided prostate biopsy, including (i) periprostatic blockage (PPB), (ii) intrarectal gel instillation, and (iii) sedoanalgesia were compared. MATERIAL AND METHODS During a period of five months, 100 consecutive men were enrolled in this study. A 10-point linear visual analogue scale (VAS) was used to assess the pain scores during (VAS 1), immediately after (VAS 2) and one hour after (VAS 3) the needle biopsy procedure. The relationship between the level of pain, prostate volume, age and PSA was determined. RESULTS There were no statistically significant differences between the four groups in terms of mean age and PSA values. The pain scores were significantly lower in sedoanalgesia and PPB groups (p = 0.0001). There was no statistically significant difference between the groups in terms of complications. CONCLUSIONS In this study, it was shown that patient comfort is better and it is possible to get decreased pain scores with PPB or sedoanalgesia. However, PPB is a preferable method in TRUS-guided prostate biopsy since it is much more practical in outpatient clinics.
Epstein-Barr Virus Latent Membrane Protein 2B (LMP2B) Modulates LMP2A Activity

ABSTRACT Latent membrane protein 2A (LMP2A) and LMP2B are viral proteins expressed during Epstein-Barr virus (EBV) latency in EBV-infected B cells both in cell culture and in vivo. LMP2A has important roles in modulating B-cell receptor (BCR) signal transduction by associating with the cellular tyrosine kinases Lyn and Syk via specific phosphotyrosine motifs found within the LMP2A N-terminal tail domain. LMP2A has been shown to alter normal BCR signal transduction in B cells by reducing levels of Lyn and by blocking tyrosine phosphorylation and calcium mobilization following BCR cross-linking. Although little is currently known about the function of LMP2B in B cells, the similarity in structure between LMP2A and LMP2B suggests that they may localize to the same cellular compartments. To investigate the function of LMP2B, B-cell lines expressing LMP2A, LMP2B, LMP2A/LMP2B, and the relevant vector controls were analyzed. As was previously shown, cells expressing LMP2A had a dramatic block in normal BCR signal transduction as measured by calcium mobilization and tyrosine phosphorylation. There was no effect on BCR signal transduction in cells expressing LMP2B. Interestingly, when LMP2B was expressed in conjunction with LMP2A, there was a restoration of normal BCR signal transduction upon BCR cross-linking. The expression of LMP2B did not alter the cellular localization of LMP2A but did bind to and prevent the phosphorylation of LMP2A. A restoration of Lyn levels, but not a change in LMP2A levels, was also observed in cells coexpressing LMP2B with LMP2A. From these results, we conclude that LMP2B modulates LMP2A activity.
Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule

Abstract The evolutionary trajectory of populations through time is influenced by the interplay of forces (biological, evolutionary, and anthropogenic) acting on the standing genetic variation. We used microsatellite and mitochondrial loci to examine the influence of population declines, of varying severity, on genetic diversity within two Hawaiian endemic waterbirds, the Hawaiian coot and Hawaiian gallinule, by comparing historical (samples collected in the late 1800s and early 1900s) and modern (collected in 2012–2013) populations. Population declines simultaneously experienced by Hawaiian coots and Hawaiian gallinules differentially shaped the evolutionary trajectory of these two populations. Within Hawaiian coot, large reductions (between −38.4% and −51.4%) in mitochondrial diversity were observed, although minimal differences were observed in the distribution of allelic and haplotypic frequencies between sampled time periods. Conversely, for Hawaiian gallinule, allelic frequencies were strongly differentiated between time periods, signatures of a genetic bottleneck were detected, and biases in means of the effective population size were observed at microsatellite loci. The strength of the decline appears to have had a greater influence on genetic diversity within Hawaiian gallinule than Hawaiian coot, coincident with the reduction in census size. These species exhibit similar life history characteristics and generation times; therefore, we hypothesize that differences in behavior and colonization history are likely playing a large role in how allelic and haplotypic frequencies are being shaped through time. Furthermore, differences in patterns of genetic diversity within Hawaiian coot and Hawaiian gallinule highlight the influence of demographic and evolutionary processes in shaping how species respond genetically to ecological stressors.