Miracle-dz/UniFAR-FTUs huggingface dataset:
Postdeployment Battlemind training for the U.K. armed forces: a cluster randomized controlled trial.

OBJECTIVE Combat exposure can increase the risk of subsequent psychological ill-health in armed forces (AF) personnel. A U.S. postdeployment psycho-educational intervention, Battlemind, showed a beneficial effect on mental health in U.S. military personnel exposed to high combat levels. We evaluated the effectiveness of an anglicized version of postdeployment Battlemind. METHOD Battlemind was adapted for the United Kingdom. The main amendments were to sections about carrying weapons, driving, and alcohol misuse. The anglicized Battlemind was compared with the U.K. standard postdeployment brief in a cluster randomized controlled trial. At baseline, 2,443 U.K. AF personnel returning from Afghanistan via Cyprus completed questionnaires about their combat experiences and mental health. Of these, 1,616 (66%) completed 6-month follow-up questionnaires. We used the Posttraumatic Stress Disorder Checklist (PCL-C) to measure probable posttraumatic stress disorder and the General Health Questionnaire (GHQ-12) to measure common mental disorders. Secondary outcomes included alcohol misuse, assessed with the Alcohol Use Disorders Identification Test (AUDIT), and binge drinking. Mixed-effects models were used to account for possible cluster effects. RESULTS We did not find a difference in mental health or overall AUDIT score. Those who received Battlemind versus the standard brief were less likely to report binge drinking, although the effect size was small (adjusted odds ratio = 0.73, 95% CI [0.58, 0.92]). CONCLUSIONS The anglicized Battlemind did not improve mental health but had a modest impact on the reporting of binge drinking. Alcohol misuse is problematic in military populations; therefore, an intervention that reduces binge drinking may be helpful.
Propagation Characteristics of Finite Ground Coplanar Waveguide on Si Substrates With Porous Si and Polyimide Interface Layers

Measured and modeled propagation characteristics of Finite Ground Coplanar (FGC) waveguide fabricated on a 15 ¿-cm Si substrate with a 23 ¿m thick, 68% porous Si layer and a 20 ¿m thick polyimide interface layer are presented for the first time. Attenuation and effective permittivity as function of the FGC geometry and the bias between the center conductor and the ground planes are presented. It is shown that the porous Si reduces the attenuation by 1 dB/cm compared to FGC lines with only polyimide interface layers, and the polyimide on porous silicon demonstrates negligible bias dependence.
Does a Successful Randomized Experiment Lead to Successful Policy? Project Challenge and What Happened in Tennessee After Project STAR

A growing number of policy makers request research evidence before making policy decisions. Yet the evidence, when provided, may have little impact on policy. In this article, we revisit how Tennessee handled class size policy in 1984-93. The conventional history is an inspiring narrative of evidence-based policy. The state funded a randomized experiment (Project STAR), which showed that reducing class sizes to 15 could raise test scores. It then funded class size reduction in the poorest school districts (Project Challenge), achieving similar effects. Finally, the state reduced class sizes statewide (under the Basic Education Program). Our revised history paints a less inspiring picture. Though Project STAR was exemplary, Project Challenge was not. Evidence from district report cards suggest that the districts targeted by Project Challenge did not reduce class sizes and did not raise test scores. After Project Challenge, Tennessee’s Basic Education Program did reduce class sizes statewide, but the reduction was token, taking average student-teacher ratios from 26 down to 25. Later other states reduced class sizes, citing evidence from Project STAR, but the reductions and contexts differed from those in Project STAR, and effects were disappointing. If evidence is to improve social outcomes, it must be better integrated into policy decisions.
Quality assessment of palliative home care in Italy

RATIONALE The complexity of end-of-life care, represented by a large number of units caring for dying patients, of different types of organizations motivates the importance of measure the quality of provided care. Despite the law 38/2010 promulgated to remove the barriers and provide affordable access to palliative care, measurement, and monitoring of processes of home care providers in Italy has not been attempted. AIMS AND OBJECTIVES Using data drawn by an institutional voluntary observatory established in Italy in 2013, collecting home palliative care units caring for people between January and December 2013, we assess the degree to which Italian home palliative care teams endorse a set of standards required by the 38/2010 law and best practices as emerged from the literature. METHODS The evaluation strategy is based on Rasch analysis, allowing to objectively measuring both performances of facilities and quality indicators' difficulty on the same metric, using 14 quality indicators identified by the observatory's steering committee. RESULTS Globally, 195 home care teams were registered in the observatory reporting globally 40 955 cured patients in 2013 representing 66% of the population of home palliative care units active in Italy in 2013. Rasch analysis identifies 5 indicators ("interview" with caregivers, continuous training provided to medical and nursing staff, provision of specialized multidisciplinary interventions, psychological support to the patient and family, and drug supply at home) easy to endorse by health care providers and 3 problematic indicators (presence of a formally established Local Network of Palliative care in the area of reference, provision of the care for most problematic patient requiring high intensity of the care, and the percentage of cancer patient dying at Home). CONCLUSIONS The lack of Local Network of Palliative care, required by law 38/2010, is, at the present, the main barrier to its application. However, the adopted methodology suggests that a clear roadmap for health facilities to afford future quality and normative challenges.
Synthesizing a twist polarizer

A systematic approach to synthesize devices for different polarization-related operations is developed. The method can be used to find the required polarizabilities of a bianisotropic scatterer so that an array of such particles would perform any wanted polarization transformation of plane waves. The method is applied to develop a novel twist polarizer. The resulting design is verified with numerical simulations.
The Effectiveness of Muscle Flaps for the Treatment of Prosthetic Graft Sepsis

&NA; The objective of this study was to assess the efficacy and reliability of muscle flaps in the treatment of prosthetic graft sepsis. A retrospective analysis was performed to assess the outcome of all patients with prosthetic graft sepsis who were treated with a muscle flap at Groote Schuur Hospital between January of 1991 and July of 2000. The specific end points studied were flap survival, limb salvage rate, and mortality. A total of 27 muscle flaps were raised to cover 24 sites of graft sepsis in 21 patients. Twenty‐five flaps were performed primarily and two secondarily. The mortality rate was zero. Limb salvage was achieved in 15 of 21 patients (71 percent), with no recurrent sepsis after an average follow‐up period of 36 months. The groin was the most common site of infection, with an 86 percent incidence. Eighteen sartorius flaps were raised in the groin. Seventeen of the 18 sartorius flaps survived (94 percent), and a 71 percent limb salvage was achieved with no recurrent sepsis after 36 months of follow‐up. This series supports the use of muscle flaps for the treatment of prosthetic graft sepsis. The sartorius flap has been shown to be reliable as a flap in the groin, with successful limb salvage in the majority of patients. (Plast. Reconstr. Surg. 109: 108, 2002.)
A direct formulation for camera calibration

Conventional camera calibration techniques rely on discrete reference points extracted from a set of input images. While these approaches have been applied successfully for a long time, omitting all image information apart from reference point positions at the initial stage of the calibration pipeline renders correct treatment of uncertainties difficult and gives rise to complications in timestamping measurements in applications where exposure time cannot be neglected. Drawing inspiration from visual state estimation, we employ a direct formulation of the camera measurement model. To this end, we render a view of the target given all calibration parameters, enabling a maximum likelihood estimator formulated on image intensities as measurements. We demonstrate the advantages of avoiding abstraction from image measurements for determining the line delay of a rolling shutter camera and by estimating camera exposure time from motion blur.
Carrier suppression locked loop mechanism for UHF RFID readers

The receiver of a UHF RFID reader is exposed to strong carrier leakage signals due to antenna reflections and limited isolation of circulators and directional couplers. This strong interference limits the performance of the reader as the active components in the receiver become saturated. In this paper, an improvement on the front-end architecture of UHF RFID readers is presented to address this problem. An automatically-adjusted canceling signal is combined with the received signal to suppress the strong carrier leakage. The experiment results show that the constructed prototype can achieve high isolation and that the canceling signal can be routinely configured even during reader operations.
PENGARUH INTELLECTUAL CAPITAL PERFORMANCE TERHADAP INTENSITAS PELAPORAN MODAL INTELEKTUAL

A b s tr a c t The annual report as one of disclosure information made by a company. Purpose of this study to analyze the effect of intellectual capital reporting performance to the intensity of intellectual capital. Sample of this study are that the Islamic banking registered at Bank Indonesia in period 2011 to 2015. Samples were selected using purposive sampling method and obtained 24 Islamic banking which is 9 for Islamic Banks and 15 for Islamic business unit. The analysis tool used is WarpPLS 3.0 with assessing inner and outer models prior models to test data analysis is feasible or not. Results of this study indicate that intellectual capital performance significant positive effect on the intensity of intellectual capital reporting. Keywords: Intellectual Capital Performance, Intellectual Capital
From face-to-face teaching to online distance education classes: some challenges and surprises

Many educators in higher education are now delivering their courses online. For some however this move was initially a reluctant one as it was difficult to perceive how their face-to-face classes could be successfully transported into the online medium. This paper describes the journey of one academic who took on the challenge ofdeveloping a knowledge building online distance education community. It describes the model used to guide this process and reports on the interaction that occurred. The challenges and sUlprises are described.
Motor impairment in Wilson's disease 3: the clinical impact of pyramidal tract involvement

Magnetic brain stimulation was performed on 24 patients with Wilson's disease (WD). Responses to the right and left first dorsal interosseus muscle (FDI) and to the right and left tibialis anterior muscle (TA) were analysed. In 45% of the patients prolonged central motor conduction times (CCTs) to the FDIs were found, whereas only 12% of the patients presented with prolonged CCTs to the TA muscles. No consistent significant correlations between copper metabolism and pyramidal tract function tested by magnetic brain stimulation were found. An improvement of CCTs and response amplitudes with copper elimination therapy was observed only at early phases of therapy. There was no correlation with duration of therapy or neurological symptoms. Thus magnetic brain stimulation turns out to be sensitive to detect subclinical pyramidal tract impairment in WD but seems to test a too specific aspect of motor impairment in WD to reflect the overall neurological status of the patients. Therefore, it has to be combined with other tests to be used for therapy control.
A Hybrid System Approach to Model Dynamic Information Flow Tracking

Control theory is used in several disciplines such as mechanical engineering, communication, and computer engineering. This paper examines the application of control theory to computer security, specifically in the area of Dynamic Information Flow Tracking (DIFT). Control theory can be used to model the destruction of information in DIFT. The DIFT system examined in this paper utilizes a taint vector to record the program’s tainted data, however, as with any DIFT system, there are several cases which cause undesired results such as over-tainting. This incurs an unacceptable loss of information. This problem is solved by designing a hybrid controller which guarantees that the system will not over-taint, while still allowing taint information to flow properly. The model accomplishes this by tracking the dynamics of the program at the assembly level. Therefore the proposed controller must be included in the design in order to solve the problem traditional methods have yet to properly address. This paper provides a new approach to modeling the destruction of information in DIFT. In addition, it examines a novel application of hybrid control systems in computer security.
CUSTOMER LOYALTY CHARACTERISTICS IN OBSTACLES OF INTERNET BANKING ADOPTIONS

This paper analyzes the characteristics of customer loyalty on the barriers in using internet banking with a qualitative approach through interviews to 10 informants who have or never used internet banking. Three types of obstacles perceived by customers include security threats, difficulty in operating internet banking, and unreliable access. There are three characteristics of customer loyalty in the face of these barriers, first, leaving internet banking categorized as low loyalty; second, limiting themselves using internet banking features categorized as medium loyalty; and third, finding solutions to overcome barriers categorized as high loyalty. The three characteristics motivated by 3 factors including customer knowledge, risk perception, and influence of other service choices.
The structure of a stable intermediate in the A <--> B DNA helix transition.

The DNA dodecamer CATGGGCCCATG in a crystal structure of resolution 1.3 A has a conformation intermediate between A and B DNA. This trapping of a stable intermediate suggests that the A and B DNA families are not discrete, as previously believed. The structure supports a base-centered rather than a backbone-centered mechanism for the A <--> B transition mediated by guanine tracts. Interconversion between A and B DNA provides another means for regulating protein-DNA recognition.
Analysis of firewall policy rules using traffic mining techniques

The firewall is usually the first line of defence in ensuring network security. However, the management of manually configured firewall rules has proven to be complex, error-prone and costly for large networks. Even with error-free rules, presence of defects in the firewall implementation or device may make the network insecure. Evaluation of effectiveness of policy and correctness of implementation requires a thorough analysis of network traffic data. We present a set of algorithms that simplify this analysis. By analysing only the firewall log files using aggregation and heuristics, we regenerate the effective firewall rules, i.e., what the firewall is really doing. By comparing these with the original rules, we can easily find if there is any anomaly in the original rules, and if there is any defect in the implementation. Our experiments show that the effective firewall rules can be regenerated to a high degree of accuracy from a small amount of data.
Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy

ABSTRACT Opinions published online about a given experience are known to influence consumers’ decisions. However, such opinions reflect different degrees of engagement which may affect the decisions in different forms. The aim of this study is to analyze the dimensions of online customer engagement and associated concepts (involvement, emotional states, experience and brand advocacy) in customers’ online reviews through text-mining and sentiment analysis trends. The current study focuses on Yelp.com comments and includes a random sample of 15,000 unique reviews of restaurants, hotels and nightlife entertainment in eleven cities in the USA. A customer engagement dictionary is created, based on previously validated scales and extended using WordNet 2.1. The research findings reveal a high impact of the engagement cognitive processing dimension and hedonic experience on customers’ review endeavor. Results further indicate that customers seem to be more engaged in positively advocating a company/brand than the contrary. Companies that listen to such feedback may be more able to align with consumers’ expectations and, therefore, have a better competitive advantage in the market.
Effect of incentive on storage and retrieval processes

A continuous paired-associate task was used to examine, the effect of monetary incentive on response probability when incentive was presented at the time a pair was studied, at the time it was tested, at both times, or at neither time. All paired-associate items were assigned either a high or a low value. The S was either cued or not cued with this value at the time he studied the item and again when he was tested. After each test trial, feedback was presented that indicated whether or not the response had been correct and what the value of the item was. The results indicated that presenting the value of an item at the time the item was studied greatly affected the probability of a correct response at test; a study cue of high value led to better performance than a study cue of low value. A similar although smaller effect took place when the value of the item was presented at the time the item was tested; 5s responded more accurately when told that the item on which they were being tested was a high-value as opposed to a low-value item. These data were considered in terms of the memory model of Atkinson and Shiffrin which postulates differential control processes at the time of initial storage and subsequent retrieval.
Estimation and Confidence Regions for Parameter Sets in Econometric Models

This paper develops a framework for performing estimation and inference in econometric models with partial identification, focusing particularly on models characterized by moment inequalities and equalities. Applications of this framework include the analysis of game-theoretic models, revealed preference restrictions, regressions with missing and corrupted data, auction models, structural quantile regressions, and asset pricing models. Copyright The Econometric Society 2007.
Bankruptcy analysis using altman z-score model in retail trading company listed in Indonesia stock exchange

The purpose of this study was to bankruptcy prediction in trading retail companies listed in Indonesian Stock Exchange. The population of this study is a retail company listed on the Indonesia Stock Exchange, which amounted to 22 companies. The research samples were 19 companies, selected using purposive sampling method. This study uses secondary data that collected from Indonesian Stock Exchange website in the form of audited financial statements for years 2015 and 2016. We used Altman Z Score for data analysis. This study find that 3 firms in 2016 and 2015 are always on the bankruptcy classification with z score of less than 1.8, so the findings of this study can be useful for managers and shareholders in financial decision-making to take steps financial and business strategic and for governments to work out solutions to prevent bankruptcy by boosting economic growth and suppressing inflation rates to increase public purchasing power. This study also find 8 firms are always in a non-bankrupt or healthy classification with an Altman score of z score greater than 2.9, so, these findings can be useful for managers and shareholders to make financial decisions, by looking for investment options to make available funds can be utilized and not just focus on retail companies only.
Extracting web information using representation patterns

Feeding decision support systems with Web information typically requires sifting through an unwieldy amount of information that is available in human-friendly formats only. Our focus is on a scalable proposal to extract information from semi-structured documents in a structured format, with an emphasis on it being scalable and open. By semi-structured we mean that it must focus on information that is rendered using regular formats, not free text; by scalable, we mean that the system must require a minimum amount of human intervention and it must not be targeted to extracting information from a particular domain or web site; by open, we mean that it must extract as much useful information as possible and not be subject to any pre-defined data model. In the literature, there is only one open but not scalable proposal, since it requires human supervision on a per-domain basis. In this paper, we present a new proposal that relies on a number of heuristics to identify patterns that are typically used to represent the information in a web document. Our experimental results confirm that our proposal is very competitive in terms of effectiveness and efficiency.
Rate-distortion function when side-information may be present at the decoder

A discrete memoryless source {X/sub k/} is to be coded into a binary stream of rate R bits/symbol such that {X/sub k/} can be recovered with minimum possible distortion. The system is to be optimized for best performance with two decoders, one of which has access to side-information about the source. For given levels of average distortion for these two decoders, the minimum achievable rate R (in the usual Shannon theory sense) is given as a per-letter minimization of information theoretic quantities. The problem is solved for two cases: where the encoder is and is not informed of the side-information. >
Tool Wear Detection Based on Duffing-Holmes Oscillator

The cutting sound in the audible range includes plenty of tool wear information. The sound is sampled by the acoustic emission (AE) sensor as a short-time sequence, then worn wear can be detected by the Duffing-Holmes oscillator. A novel engineering method is proposed for determining the chaotic threshold of the Duffing-Holmes oscillator. First, a rough threshold value is calculated by local Lyapunov exponents with a step size 0.1. Second, the exact threshold value is calculated by the Duffing-Holmes system in terms of the law of the golden section. The advantage of the method is low computation cost. The feasibility for tool condition detection is demonstrated by the 27 kinds of cutting conditions with sharp tool and worn tool in turning experiments. The 54 group data sampled as noisy are embedded into the Duffing-Holmes oscillator, respectively. Finally, one chaotic threshold is determined conveniently which can distinguish between worn tool or sharp tool.