Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive and interpersonal predictors and moderators of treatment outcomes in psychological therapy for depression

Introduction: Interpersonal difficulties are important in the cause and maintenance of depression. Cognitive behaviour therapies (CBT) constitute one of the most widely researched interventions for the treatment of depression, however there is little consensus regarding the role of interpersonal functioning during therapy. This review aimed to synthesise the empirical evidence on change in interpersonal functioning following CBT and its relationship to depression outcomes. Methods: A systematic search was conducted in PubMed, PsychINFO and Web of Science. The review included studies which used a validated self-report measure of interpersonal functioning during CBT for adult depression. Findings were synthesised narratively and supplemented by a meta-analysis where possible. Methodological quality was assessed using quality checklists adapted for this review. Results: 18 studies met the pre-specified inclusion criteria, 14 of which were included in a meta-analysis investigating change in interpersonal functioning from preto post-treatment following CBT for depression. The most widely used instrument was the Inventory of Interpersonal Problems (IIP). The meta-analysis found that interpersonal functioning improved with a medium-to-large effect size following CBT. There was little evidence for a differential treatment effect. Evidence was inconclusive regarding whether pre-treatment interpersonal functioning predicted or moderated depression outcomes. Evidence from four studies suggested that change in interpersonal functioning was associated with depression outcomes.
La relación longitudinal de la participación política online y offline en el contexto de una campaña presidencial

En la literatura se discute tradicionalmente el papel que tiene la participación política (PP) para la toma de decisiones democráticas de un país, casi siempre desde la dicotomía de PP formal o no formal. La hiperconexión de hoy en día, permite nuevas expresiones de PP que deben considerarse a la hora de entender el concepto en sí mismo. Y para hacerlo se sugiere entender la relación entre la PP offline y la online, sobre todo en tiempos que detonen dicha interacción, como ocurre en tiempos electorales. Se aplicó una encuesta panel digital a nivel nacional con la finalidad de comparar la relación entre el reporte de la PP online con la offline. Se encontró que, sólo en el tiempo cercano a la elección y posterior a esta, se da un efecto spillover, en el que se puede hablar de que la PP offline influye en la online.
Application of graphene derivatives and their nanocomposites in tribology and lubrication: a review

Reducing friction and increasing lubrication are the goals that every tribologist pursues. Accordingly, layered graphene materials have attracted great research interest in tribology due to their anti-friction, anti-wear and excellent self-lubricating properties. However, recent studies have found that other forms of graphene derivatives not only perform better in tribological and lubricating applications, but also solve the problem of graphene being prone to agglomeration. Based on a large number of reports, herein, we review the research progress on graphene derivatives and their nanocomposites in tribology and lubrication. In the introduction, the topic of the article is introduced by highlighting the hazards and economic losses caused by frictional wear and the excellent performance of graphene materials in the field of lubrication. Then, by studying the classification of graphene materials, the research status of their applications in tribology and lubrication is introduced. The second chapter introduces the application of graphene derivatives in improving tribological properties. The main types of graphene are graphene oxide (GO), doped graphene (doped elements such as nitrogen, boron, phosphorus, and fluorine), graphene-based films, and graphene-based fibers. The third chapter summarizes the application of graphene-based nanocomposites in improving friction and anti-wear and lubrication properties. According to the different functional modifiers, they can be divided into three categories: graphene–inorganic nanocomposites (sulfides, metal oxides, nitrides, metal nanoparticles, and carbon-containing inorganic nanoparticles), graphene–organic nanocomposites (alkylation, amine functionalization, ionic liquids, and surface modifiers), and graphene–polymer nanocomposites (carbon chain polymers and heterochain polymers). Graphene not only exhibits an excellent performance in traditional processing and lubrication applications, but the fourth chapter proves that it has a good application prospect in the field of ultra-low friction and superlubricity. In the application part of the fifth chapter, the lubrication mechanism proposed by graphene as a nano-lubricant is introduced first; then, the main application research status is summarized, including micro-tribology applications, bio-tribology applications, and liquid lubrication additive applications. The last part is based on the following contents. Firstly, the advantages of graphene-based nanocomposites as lubricants and their current shortcomings are summarized. The challenges and prospects of the commercial applications of graphene-based nanocomposites in tribology and lubrication are further described.
Vision-based defects detection for bridges using transfer learning and convolutional neural networks

Abstract Manual visual inspection is customarily used to identify and evaluate service status of bridges. However, current procedures followed by human inspectors demand long inspection time to access bridges. Also, highly relying on subjective or empirical knowledge of inspectors may induce false evaluation. To overcome these challenges, a vision-based method is presented for bridge defects detection using transfer learning and convolutional neural networks (CNNs), which could automatically analyze and identify a large volume of collected images. Firstly, typical defect images are preprocessed by means of image processing techniques (IPTs). Secondly, the transfer learning model is trained on 1180 images with arbitrary sizes and pixel resolutions. Thirdly, the trained model is tested on 134 images taken from different bridges which are not used in training and validation sets, and finally recorded the accuracy of 97.8% for testing set. Comparative studies are conducted to examine the performance of the proposed approach using classical machine learning algorithms (MLAs) and features extracted with existing hand-craft methods. The results demonstrate that the proposed approach shows quite better performance in accuracy and efficiency.
Home Visiting Work: A Transdisciplinary Study

Purpose: Home visiting (HV) work represents an expanding, extremely promising, and commonly practiced approach that can be seen in various areas of social work as well as health care. This report presents the results of the research study “‘home treatment’ (HT)—transdisciplinary research in HV work. ” Method: It is the first German study that has used qualitative and quantitative methods to collect data from different professions in respect to this topic. From the point of view of the professionals, the study underlines that HV work principally seems to be a good base for establishing a professional and confidential relationship. They attribute more sustainability and participation from the clients to home-based interventions than other forms of help. After a short introduction about the current situation of HV work, the research project will be explained and the qualitative and quantitative methods described. Results: The results of the “HT Questionnaire” will be presented in 10 sections and the qualitative results in a model for reflection based on three points of view and five main topics. Discussion: Finally, some ethical and safety aspects will be discussed.
A Novel Piezoelectric Stack for Rotary Motion by d15 Working Mode: Principle, Modeling, Simulation, and Experiments

A novel piezoelectric stack for rotary motion using d15 working mode is proposed, fabricated, and tested in this article to achieve the high stiffness and high precision of rotation. This piezoelectric stack is fabricated by bonding process from only two components—lead zirconate titanate ceramics and electrodes, which is beneficial to realize the simple structure. A theoretical model based on the shear deformation theory is established to predict the static output performances. And the simulation with the finite-element method is adopted to evaluate the dynamic characteristics. An experimental system is built to verify the design and study the performances of the piezoelectric stack. The experimental results indicate that the static output angle changes from −13.25 to +13.33 μrad, whereas the exciting voltage changes from −300 to +300 V, with good linear relationship and high repeatability accuracy. Under the condition of changing the exciting voltage by the step of 0.5 V, the stable resolution is measured to be higher than 0.022 μrad. The large load capacity and width frequency response are verified, which reflect the high stiffness of the proposed piezoelectric stack. The proposed piezoelectric stack achieves accurate and stable rotary output motion with high resolution, rapid response, and large load capacity. Besides, the stack has regular shape and simple structure, and therefore, it is suitable to be integrated in the equipment in the fields of micro–nano manipulations, piezoelectric ultrasonic motors, etc.
Risk of development of stress in university students

Objective: To explore the risk of development of stress in university students. Methodology: It is a cross-sectional study carried out at Riphah International University Rawalpindi between September 2011 and April 2012 using self-administered questionnaire. A total of 120 under-graduates, 30 students from each profession were selected by purposive sampling. Data was analyzed through SPSS 21. Results: There was severe risk of stress was present in the students of Engineering, DPT, Media sciences and then MBBS. Conclusion: Medical students have least risk of stress as compared to other disciplines.
Intelligent integrity monitoring system for technological process data

The relevance of the work is due to the widespread use of network telecommunications in the automated process control system and the high level of danger of replacing, distorting or losing accumulated data on the process progress as a result of the attacker’s influence. Objective: increasing the security of measurement results from unauthorized modification in the databases of information systems of an industrial enterprise by improving process monitoring system based on the intellectual analysis of technological time series. A structural scheme of process monitoring as part of an information protection system in a segment of an automated process control system network has been developed. The algorithm of intellectual analysis of technological time series in the task of detecting violation of the integrity of data on the process progress due to their unauthorized modification was proposed. Evaluated the effectiveness of the proposed solution on field data. Keywords: Monitoring of the technological process, analysis of technological time series, integrity of accumulated telemetry data, neural network model of adaptive segmentation, clustering of technological events.
Listeria, Listeriosis, and Food Safety, Third Edition

Dedication Preface to the Third Edition Preface to the Second Edition Preface to the First Edition Contributors The genus Listeria and Listeria monocytogenes: Phylogenetic Position, Taxonomy, and Identification, J. Rocourt and C. Buchrieser Ecology of Listeria species and L. monocytogenes in the Natural Environment, B. D. Sauders and M. Wiedmann Listeriosis in Animals, I. V. Wesley Listeriosis in Human, J. Painter and L. Slutsker Molecular Virulence Determinants of Listeria monocytogenes, M. Kuhn and W. Goebel Characteristics of Listeria monocytogenes Important to Food Processors, B. H. Lado and A. E. Yousef Conventional Methods to Detect and Isolate Listeria monocytogenes, C. W. Donnelly and D. G. Nyachuba Rapid Methods for Detection of Listeria, B. F. Brehm-Stecher and E.A. Johnson Subtyping Listeria monocytogenes, L. M. Graves, B. Swaminanathan and S. B. Hunter Incidence and Behavior of Listeria monocytogenes in Unfermented Dairy Products, E. T. Ryser Incidence and Behavior of Listeria monocytogenes in Cheese and Other Fermented Dairy Products, E. T. Ryser Incidence and Behavior of Listeria monocytogenes in Meat Products, J.M. Farber, F. Pagotto, and C. Scherf Incidence and Behavior of Listeria monocytogenes in Poultry and Egg Products, E. T. Ryser Incidence and Behavior of Listeria monocytogenes in Fish and Seafood, K. C. Jinneman, M. M. Wekell, and M. W. Eklund Incidence and Behavior of Listeria monocytogenes in Products of Plant Origin, R. E. Brackett Incidence and Control of Listeria in Food-Processing Facilities, J. Kornacki and J. Gurtler Listeria: Risk Assessment, Regulatory Control and Economic Impact, E. C. D. Todd Perspectives on Research Needs, E. H. Marth, R. E. Brackett, R. B. Tompkin, S. Kathariou, and E. C.D. Todd Foodborne Listeriosis, D. Norton
Late Quaternary East Asian Summer Monsoon Variability Deduced From Lacustrine Mineral Magnetic Records of Dahu Swamp, Southern China

The lack of long‐term and well‐preserved terrestrial archives from southern China largely impedes our understanding of past variability in the East Asian summer monsoon (EASM). In this study, we developed rainfall/precipitation‐related records by conducting a systematic mineral‐magnetic investigation on Dahu Swamp sediments over the past ~47.0 ka. The integrated magnetic results show that the magnetic minerals in the sediments were mainly catchment derived, likely reflecting hydroclimatic changes associated with EASM strength. In combination with other climatic proxies, our magnetic records reveal a relatively wet climate during the middle‐late Marine Oxygen Isotope Stage 3 and the Holocene and a relatively dry climate during the Marine Oxygen Isotope Stage 2, which broadly follow the precession‐induced summer insolation changes in the middle‐low latitudes of the Northern Hemisphere. The regional heterogeneity of the EASM rainfall evolution might be ascribed to the changes in timing and duration of Mei‐yu Front in China, which were closely associated with the El Niño/Southern Oscillation activities through its effects on the Western Pacific Subtropical High position. Long‐term climatic patterns inferred from Dahu Swamp were broadly similar to those of the Western Pacific Warm Pool region, especially during the mid‐Holocene rainfall optimum period, further supporting that the thermal mean states of the tropical Pacific associated with El Niño/Southern Oscillation modes may influence EASM precipitation. Our results highlight the coupled influence of external insolation forcing and internal low‐latitude processes on the spatial and temporal EASM variability, and understanding these influences could be critical to the prediction of future monsoon behavior under ongoing and future global warming.
A Maussian bargain: Accumulation by gift in the digital economy

The harvesting of data about people, organizations, and things and their transformation into a form of capital is often described as a process of “accumulation by dispossession,” a pervasive loss of rights buttressed by predatory practices and legal violence. Yet this argument does not square well with the fact that enrollment into digital systems is often experienced (and presented by companies) as a much more benign process: signing up for a “free” service, responding to a “friend’s” invitation, or being encouraged to “share” content. In this paper, we focus on the centrality of gifting and reciprocity to the business model and cultural imagination of digital capitalism. Relying on historical narratives and in-depth interviews with the designers and critics of digital systems, we explain the cultural genesis of these “give-to-get” relationships and analyze the socio-technical channels that structure them in practice. We suggest that the economic relation that develops as a result of a digital gift offering not only masks the structural asymmetry between giver and gifted but also permits the creation of the new commodity of personal data, obfuscates its true value, and naturalizes its private appropriation. We call this unique regime “accumulation by gift. ”
Platform Pricing with Strategic Buyers: The Impact of Future Production Cost

Many two-sided platforms offer innovative hardware products that improve in quality and enter the market sequentially. This paper studies the impact of the decrease in the production cost on a monopoly platform owner's dynamic two-sided pricing problem, in which buyers are strategic and network effects are present. Our findings show that the decreasing cost raises the optimal price of the low-quality product (introduced first) and allocates more buyer-side demand to the future market. Moreover, a decrease in cost leads to a higher optimal price even for the higher-quality product (introduced later), given a sufficiently significant quality improvement. This suggests that the decreasing cost may enable the platform to position its product line to the high-end market. Compared to the base case absent the seller side and network effects, the two-sided case shows that the network effect intensifies the impact of the cost decrease on the price of the low-quality product and makes the forward buyer-side demand shift to the future market more pronounced. Furthermore, the network effect propagates intertemporally, which may reverse the impact of the cost decrease on the optimal price of the high-quality product in the base case, when the quality improvement is less significant. Our work provides a dynamic perspective to the two-sided pricing problem by considering key factors such as network effects, buyers' strategic behavior, production cost, and quality improvements.
Calculation of Metal Pollution Index and Enrichment Factor in Sodic Soil from Salt Production Area

In the present paper, the sodic soil samples were collected from the salt production area of Thakhauttaw, Hanlin, Sataung Gyi and Paline, Shwebo District, Sagaing Region. These samples were studied on the elemental analysis using the energy dispersive x-ray fluorescence (EDXRF) spectroscopy. In order to evaluate the contamination status of metals, assessment indices such as metal pollution index (MPI) and enrichment factors (EFs) have been calculated by using the metal concentrations from the EDXRF results. The values of metal pollution index (MPI) for all samples were less than 1. This indicating the sodic soil was no significant of metal pollution. The results of enrichment factors show that Ca and Mn considerable enriched levels in the soil. According to health physics point of view, the overall study suggests that the sodic soil from salt production area were not metal contaminated and long-term consumption cannot be cause potential health risks to consumers.
Causal Factors of Australian Beef Exports

This study aims to understand how the macroeconomic and microeconomic indicators influence the export market of beef in Australia as well as the inclusion of a bivariate (0,1) dummy variable, accounting for extreme climate aberrations such as the ‘Millennium Drought’ and the 2017-current drought. Additionally, this study addressed whether there is a delayed effect of the independent variables on Australian beef exports and draw upon neoclassical economic growth theory to assess if this economic paradigm holds in the real world. The paper identified and evaluated the casual factors of Australian beef exports and found there to be a two-quarter lag in bank loans to agriculture and a one-quarter lag in RBA interest rate before their effect was statistically significant. The results explore the various implications that depend on the perspective of the stakeholder, whether that be the farmer or the government.
Sample size justifications for pilot trials of publicly funded randomised controlled trials

Sample size justification is an important consideration when planning a clinical trial, not only for the main trial but also for any preliminary pilot trial. When the outcome is a continuous variable, the sample size calculation requires an accurate estimate of the standard deviation of the outcome measure. A pilot trial can be used to get an estimate of the standard deviation, which could then be used to anticipate what may be observed in the main trial. However, an important consideration is that pilot trials often estimate the standard deviation parameter imprecisely. This paper looks at how we can choose an external pilot trial sample size in order to minimise the sample size of the overall clinical trial programme, that is, the pilot and the main trial together. We produce a method of calculating the optimal solution to the required pilot trial sample size when the standardised effect size for the main trial is known. However, as it may not be possible to know the standardised effect size to be used prior to the pilot trial, approximate rules are also presented. For a main trial designed with 90% power and two-sided 5% significance, we recommend pilot trial sample sizes per treatment arm of 75, 25, 15 and 10 for standardised effect sizes that are extra small (! 0.1), small (0.2), medium (0.5) or large (0.8), respectively.
Modelo geométrico tridimensional para macizos rocosos a partir de fotografías y el programa Octave: Cantera Santa Rita, Medellín, Colombia

espanolEl presente articulo expone el procedimiento para lograr el modelo geometrico tridimensional de un macizo rocoso a partir de un par de tomas fotograficas hechas con una camara corriente, uso de software libre/abierto como Octave y otras librerias libres, construccion de equipos y herramientas sencillos y la apropiacion de conocimientos importantes en vision artificial. Se describe tomando como ejemplo el modelo tridimensional de un corte de voladura del macizo rocoso de la Cantera Santa Rita, localizada al sudoeste de la ciudad de Medellin (Colombia). Finalmente, se muestra mediante una validacion, a partir de medidas de campo in situ, que el procedimiento descrito aqui es promisorio para que pueda instaurarse como una herramienta para la caracterizacion geometrica de discontinuidades de los macizos rocosos. EnglishThe present article exposes the procedure to achieve the three-dimensional geometric model of a rock mass from a pair of photographic shots made with a current camera, use of free/open software such as Octave and other free libraries, construction of equipment and simple tools and the appropriation of important knowledge in artificial vision. It is described taking as an example the three-dimensional model of a blast cut of the rock mass of the Santa Rita Quarry, located southwest of the city of Medellin (Colombia). Finally, it is shown by a validation, based on field measurements, that the procedure described here is promising so that it can be established as a tool for the geometric characterization of discontinuities of rock mass.