Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of cognitive–behavioural therapy: a protocol for an overview of systematic reviews and meta-analyses

Introduction Cognitive–behavioural therapy (CBT) is a psychological therapy that has been used to improve patient well-being across multiple mental and physical health problems. Its effectiveness has been examined in thousands of randomised control trials that have been synthesised into hundreds of systematic reviews. The aim of this overview is to map, synthesise and assess the reliability of evidence generated from these systematic reviews of the effectiveness of CBT across all health conditions, patient groups and settings. Methods and analysis We will run our search strategy, to identify systematic reviews of CBT, within the Database of Abstracts of Reviews of Effects, the Cochrane Library of Systematic Reviews, MEDLINE, Embase, PsycInfo, CINAHL, Child Development and Adolescent Studies, and OpenGrey between January 1992 and 25 April 2018. Independent reviewers will sift, perform data extraction in duplicate and assess the quality of the reviews using the Assessing the Methodological Quality of Systematic Reviews (V.2) tool. The outcomes of interest include: health-related quality of life, depression, anxiety, psychosis and physical/physiological outcomes prioritised in the individual reviews. The evidence will be mapped and synthesised where appropriate by health problem, patient subgroups, intervention type, context and outcome. Ethics and dissemination Ethical approval is not required as this is an overview of published systematic reviews. We plan to publish results in peer-reviewed journals and present at international and national academic, clinical and patient conferences. Trial registration number CRD42017078690.
A data-efficient deep learning tool for scRNA-Seq label transfer in neuroscience

Large single-cell RNA datasets have contributed to unprecedented biological insight. Often, these take the form of cell atlases and serve as a reference for automating cell labeling of newly sequenced samples. Yet, classification algorithms have lacked the capacity to accurately annotate cells, particularly in complex datasets. Here we present SIMS (Scalable, Interpretable Machine Learning for Single-Cell), an end-to-end data-efficient machine learning pipeline for discrete classification of single-cell data that can be applied to new datasets with minimal coding. We benchmarked SIMS against common single-cell label transfer tools and demonstrated that it performs as well or better than state of the art algorithms. We then use SIMS to classify cells in one of the most complex tissues: the brain. We show that SIMS classifies cells of the adult cerebral cortex and hippocampus at a remarkably higher accuracy than state-of-the-art single cell classifiers. This accuracy is maintained in trans-sample label transfers of the adult human cerebral cortex. We then apply SIMS to classify cells in the developing brain and demonstrate a high level of accuracy at predicting neuronal subtypes, even in periods of fate refinement. Finally, we apply SIMS to single cell datasets of cortical organoids to predict cell identities in previously unclassified cells and to uncover genetic variations in the developmental trajectories of organoids derived from different pluripotent stem cell lines. Altogether, we show that SIMS is a versatile and robust tool for cell-type classification from single-cell datasets.
The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design

Abstract. The Stratospheric Sulfur and its Role in Climate (SSiRC) Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP) explores uncertainties in the processes that connect volcanic emission of sulfur gas species and the radiative forcing associated with the resulting enhancement of the stratospheric aerosol layer. The central aim of ISA-MIP is to constrain and improve interactive stratospheric aerosol models and reduce uncertainties in the stratospheric aerosol forcing by comparing results of standardized model experiments with a range of observations. In this paper we present four co-ordinated inter-model experiments designed to investigate key processes which influence the formation and temporal development of stratospheric aerosol in different time periods of the observational record. The Background (BG) experiment will focus on microphysics and transport processes under volcanically quiescent conditions, when the stratospheric aerosol is controlled by the transport of aerosols and their precursors from the troposphere to the stratosphere. The Transient Aerosol Record (TAR) experiment will explore the role of small- to moderate-magnitude volcanic eruptions, anthropogenic sulfur emissions, and transport processes over the period 1998–2012 and their role in the warming hiatus. Two further experiments will investigate the stratospheric sulfate aerosol evolution after major volcanic eruptions. The Historical Eruptions SO2 Emission Assessment (HErSEA) experiment will focus on the uncertainty in the initial emission of recent large-magnitude volcanic eruptions, while the Pinatubo Emulation in Multiple models (PoEMS) experiment will provide a comprehensive uncertainty analysis of the radiative forcing from the 1991 Mt Pinatubo eruption.
A multidisciplinary consensus on dehydration: definitions, diagnostic methods and clinical implications

Abstract Background: Dehydration appears prevalent, costly and associated with adverse outcomes. We sought to generate consensus on such key issues and elucidate need for further scientific enquiry. Materials and methods: A modified Delphi process combined expert opinion and evidence appraisal. Twelve relevant experts addressed dehydration’s definition, objective markers and impact on physiology and outcome. Results: Fifteen consensus statements and seven research recommendations were generated. Key findings, evidenced in detail, were that there is no universally accepted definition for dehydration; hydration assessment is complex and requires combining physiological and laboratory variables; “dehydration” and “hypovolaemia” are incorrectly used interchangeably; abnormal hydration status includes relative and/or absolute abnormalities in body water and serum/plasma osmolality (pOsm); raised pOsm usually indicates dehydration; direct measurement of pOsm is the gold standard for determining dehydration; pOsm >300 and ≤280 mOsm/kg classifies a person as hyper or hypo-osmolar; outside extremes, signs of adult dehydration are subtle and unreliable; dehydration is common in hospitals and care homes and associated with poorer outcomes. Discussion: Dehydration poses risk to public health. Dehydration is under-recognized and poorly managed in hospital and community-based care. Further research is required to improve assessment and management of dehydration and the authors have made recommendations to focus academic endeavours. Key messages Dehydration assessment is a major clinical challenge due to a complex, varying pathophysiology, non-specific clinical presentations and the lack of international consensus on definition and diagnosis. Plasma osmolality represents a valuable, objective surrogate marker of hypertonic dehydration which is underutilized in clinical practice. Dehydration is prevalent within the healthcare setting and in the community, and appears associated with increased morbidity and mortality.
Mineral chemistry of garnet in pegmatite and metamorphic rocks in the Hamedan area

Introduction The area of this study is located near Hamadan within the Sanandaj Sirjan tectonic zone. In the Hamadan area, consisting mainly of Mesozoic plutonic and metamorphic rocks, aplites and pegmatites locally contain garnets. (Baharifar et al., 2004, Amidi and Majidi, 1977; Torkian, 1995. Garnet-bearing schists and hornfelses in the area are products of regional metamorphism shown by slate and phyllite (Baharifar, 2004). In this investigation the distribution of elements in garnet in different rock type was studied to determine their mineral types and conditions of formation. Garnet samples from igneous and metamorphic rocks were analyzed by electron microprobe (EMPA), the results of which are presented in this article.
Carbon storage loss during land readjustment and optimization of ecological compensation

Land readjustment could change the structure of land use,and destroy the balance of ecosystem carbon cycle.In the period and after a definite time of land readjustment,the carbon storage in agricultural ecosystem would be decreased,making the ecosystem turn from carbon sink to carbon source.Based on the estimation of the ecosystem carbon storage in Cuiyuan village of Jingmen City,and with a linear programming model,this paper approached the optimal structure of land use for the land readjustment in the study area,which could compensate the ecosystem carbon storage loss.The results showed that an increment of cultivated area to 11.96% of the total area should be the maximization to meet the needs of building road system,irrigation system,and housing estate.To make the balance of ecosystem carbon cycle,artificial forest area should be increased by 3.90 hm~2.
Remembering Palestine: A multi-media ethnography of generational memories among diaspora Palestinians

This thesis is a qualitative investigation of memories of Palestine among exiled Palestinians and their descendants in Poland and in the UK. Taking the continuous character of Palestinian dispossession as a point of departure, it examines their modes of remembering, imagining and relating to Palestine. The thesis seeks to contribute to the sociology of diaspora by shedding light on the multiplicity of situated trajectories that shape diasporic Palestinians’ relationships with their ‘ancestral’ homeland. It delineates three generations of Palestinians in diaspora: those exiled in the 1948 and their descendants born in refugee camps; those who left as a direct or indirect result of the occupation; and those born as ‘second generation migrants’ in their parent’s countries of exile. It argues that while the continuing erasure of Palestine informs all of their experiences, each generation produces memories of ancestral homeland in relation to different geographies, temporalities and set of imaginings. Tracing these differences, I am concerned with how the plurality of diasporic memories allows generations of Palestinians to endure and constantly re-create their relationships with the Palestine despite more than six decades of continuous uprooting. The research is based on oral history interviews with 33 Palestinians in Poland and the UK, followed by an ethnographic audio-visual exploration of some of the research participants’ sites of memory. The audio-visual engagements have moved back and forth between stories narrated in Poland and in the UK and site-specific field visits within today’s Israel and the Occupied Palestinian Territories. The five ethnographic etudes that accompany the written part of this thesis strive to restore, at least partially, access to context that was lost with the participants’ uprooting and to explore the texture and materiality of their dispossession. This approach contributes to the development of a multi-sensory methodology that seeks to understand diasporic and exilic experiences by placing the relationship between memory, time and place at the heart of sociological enquiry.
Lycalopex vetulus, Hoary Fox

information of Hoary foxes, ii) population dynamics in regions under different degrees of conservation and land use, and the real impact of human activities on populations occurring on private lands; iii) estimates of birth and death rates, longevity, and dispersal potential of juveniles; iv) investigation into the genetic viability of different subpopulations and the effects of hybridization with Pampas Foxes at São Paulo state; and v) an evaluation of the potential role of disease in population dynamics and the status of the Hoary Fox as potential reservoir of veterinary (e
Observations on runoff generation mechanisms in small Alpine catchments

An observational network was set up in an Alpine research basin for catchment areas between 1200 m 2 and 16 km 2 . It has a nested structure, and therefore allows to trace an observed process from one scale to the other. Runoff coefficients for a saturation area showed significant dynamics and ranged between 0.3 and 0.9. The effect of diurnal variations in evaporation due to solar radiation appears in the runoff hydrographs at all scales. However, this effect is nearly averaged out at the largest scale. Similarly, the contrasting responses of overland and subsurface flow, on saturation areas clearly to be distinguished as two peaks, are averaged out at the larger scale. The hypothesis that direct runoff is mainly generated on saturation areas was substantiated by an attempt at upscaling the runoff from a saturation area to the 16 km 2 catchment. Upscaled runoff volumes showed reasonable agreement with measured data.
Presenter Tracking for Video Recording on Intel Galileo Board.

This paper proposes an intelligent video recording system based on Intel Galileo Gen2 board. The system is able to perform image processing; more precisely face detection and detect a presenter face using OpenCV libraries. Face detection was used to track the presenter’s position with the goal to effectively and autonomously make video recording. Processing images usually require a computer with a higher processing capability. But its application on smaller scale microcontroller can play an important role in the fields of science and technology with application in areas such as in television, video surveillance systems, robotics and industrial inspection. This project successfully integrated a C++ based face detection code with an Arduino sketch for servo motor control on Intel Galileo Gen2. Face detection is achieved by capturing images extract and process single frame to detect face. The Arduino sketch is used to track the detected face by steady control of servo motors to which Logitech C270 720p 3-MP Widescreen HD Webcam is attached. The two processes inter-communicate using a shared memory.
Litterfall Deposition and Decomposition in an Atlantic Forest in Southern Goiás

Brazilian biomes have been severely threatened and their conservation depends on the knowledge of intrinsic ecological processes and correct phytophysiognomy identification of legal protection purposes. Litterfall deposition and decomposition patterns associated with taxonomic composition, climate, soil and relief can be considered important tools for vegetation typology. This study contributes to classifying the Natural Park of Morrinhos (Parque Natural de Morrinhos PNM), a forest fragment in the southern region of Goiás, using litterfall deposition and decomposition rates. The results show intense litterfall deposition at the end of the dry period and rapid decomposition in the rainy season (62%), requiring 494 days for total decomposition. The rapid litterfall decomposition rate (k = 1.42 year-1), cumulative annual deposition of 6.43 Mg ha-1 and the taxonomic composition of the vegetation contribute to the classification of PNM as a Semi-deciduous Seasonal Forest.
A Privacy-Preserving Protocol for Utility-Based Routing in DTNs

In the utility-based routing protocol of delay-tolerant networks (DTNs), nodes calculate routing utility value by encounter time, frequency, and so on, and then forward messages according to the utility. The privacy information of encounter time and frequency will be leaked when nodes communicate with real IDs. Node ID anonymity can protect the privacy information, but it also prevents nodes from collecting encounter information to calculate the real utility value. To solve the above problem, this paper proposes a privacy-preserving protocol for utility-based routing (PPUR) in DTNs. When node encounter occurs in PPUR, they anonymously generate and collect the encounter record information by pseudo-IDs. Then, nodes forward the information to a trusted authority (TA), which calculates the routing utility value and returns it to the nodes, so that nodes can protect the privacy information and obtain the real utility value at the same time. PPUR also protects the confidentiality and integrity of messages through hashing and digital signature. The experimental results show that PPUR can not only protect nodes’ privacy information, but also effectively forward messages with real utility value.
CD70 Deficiency Impairs Effector CD8 T Cell Generation and Viral Clearance but Is Dispensable for the Recall Response to Lymphocytic Choriomeningitis Virus

CD27 interactions with its ligand, CD70, are thought to be necessary for optimal primary and memory adaptive immune responses to a variety of pathogens. Thus far, all studies addressing the function of the CD27–CD70 axis have been performed in mice lacking CD27, in those overexpressing CD70, or in those in which these molecules were blocked or mimicked by Abs or recombinant soluble CD70. Because these methods have in some cases led to divergent results, we generated CD70-deficient mice to directly assess its role in vivo. We find that lack of CD70-mediated stimulation during primary responses to lymphocytic choriomeningitis virus lowered the magnitude of CD8 Ag-specific T cell response, resulting in impaired viral clearance, without affecting CD4 T cell responses. Unexpectedly, CD70–CD27 costimulation was not needed for memory CD8 T cell generation or the ability to mount a recall response to lymphocytic choriomeningitis virus. Adoptive transfers of wild-type memory T cells into CD70−/− or wild-type hosts also showed no need for CD70-mediated stimulation during the course of the recall response. Moreover, CD70 expression by CD8 T cells could not rescue endogenous CD70−/− cells from defective expansion, arguing against a role for CD70-mediated T:T help in this model. Therefore, CD70 appears to be an important factor in the initiation of a robust and effective primary response but dispensable for CD8 T cell memory responses.
Attitude, adoption and economic potentials of Agroforestry in Kilosa district, Morogoro region - Tanzania

Agroforestry have been proposed as the solution to the prevailing deforestation and land deterioration in developing countries like Tanzania. This study aimed at determining farmer’s attitude, adoption and economic potentials of agroforestry practices in Kilosa District. Specifically it was intended to describe agroforestry systems and technologies, examining the level of attitudes towards agroforestry, identifying socio-economic factors influencing agroforestry adoption and estimating costs and benefits of agroforestry. Primary data were collected using structured questionnaire which was administered to a random sample of 120 households in four villages while data from key informants were collected using checklist. Secondary data from various sources were used to supplement the primary data. Data were analysed using Excel Software where cost benefit analysis was generated and Statistical Package for Social Sciences where descriptive statistics, factor analysis and logistic model were generated. Results revealed that agroforestry systems practiced were agrosilvopastoral and agrosilvicultural arranged in mixed intercropping, boundary planting and homegardens. The majority of the respondents had a positive attitude towards; commercialization (90%), land resource conservation (89%) and land productivity (82%). Farm labour force, attitude towards; land productivity, commercialization and land resource conservation significantly influenced adoption of agroforestry at P <0.05. The selected agroforestry systems were economically viable at discount rate of 10% and on average had positive Net Present Value of 3,309,680Tshs, Benefit Cost Ratio of 1.6 and Internal Rate of Return was 73% indicating the worth of investing in agroforestry. Conclusively respondents appreciated the contribution of agroforestry in meeting the diverse needs to uplift their socio-economic status. The study suggested that the government and development agencies should strengthen education, training and agroforestry extension programs. Further, agroforestry disseminators should
In Search of Synergies between Policy-Based Systems Management and Deep Boltzmann Machines Models for E-commerce

This paper discusses the motivations and principles of Deep Boltzmann Machines regarding learning algorithms for deep architectures. Policy-based systems management (PBM) and Deep Boltzmann Machines (DBM) are two of the many techniques available for artificial intelligence (AI), each having specific benefits and limitations, and thus different applicability; choosing the most appropriate technique is the first of many challenges faced by the developer. The discussion forms a backdrop for a detailed evaluation of the two techniques, in which the concepts underpinning each of PBM and EBM are reviewed and placed into context with each other as well as with the other popular techniques for AI. After considering the operation and suitability of the techniques in isolation, the focus shifts to look at how PBM and DBM could be combined in complementary ways to achieve more sophisticated and versatile AI systems for E-commerce.
Editorial Advisory Board Film-based Sensors with Piezoresistive Molecular Conductors as Active Components: Strain Damage and Thermal Regeneration Intelligent Sensor for Non-destructive Tests Applications Sensor Devices with Metrological Self-check a Simple and Universal Resistive-bridge Sensors Inte

This paper presents theoretical and experimental research concerning the manufacture of an intelligent piezoceramic sensor for non-destructive tests (NDT) applications in non-metallic materials. The impact-echo method is suitable for determination of flaw in the material structure, based on stress wave propagation. This method could be applied for non-metallic materials with rugged and nonhomogeneous structures. The active element of the intelligent piezoceramic sensor for NDT applications is a piezoceramic disc which converts the vibrations into electrical signal, amplified by an amplifier electronic circuit. The radial resonant frequency of the piezoceramic disc is 40.5 kHz, optimum for the ultrasound and low frequency sound vibration propagation into non-metallic materials. The intelligent sensor with piezoceramic disc is composed by: PZT piezoceramic disc, mechanical elements, acoustic attenuation element and amplifier electronic circuit, all together fixed into a cylindrical aluminium case. The advantage of this sensor is the possibility to be controlled by microcontroller. Copyright © 2011 IFSA.
Alfalfa (Medicago sativa L.) genotype screening in search of somatic embryogenesis capability.

Alfalfa (Medicago sativa L.) has been regarded as a plant species recalcitrant to plant regeneration under in vitro conditions. In addition, strong relation between genotype and ability to somatic embryogenesis (SE) and organogenesis in this species was described. In our studies we tested the ability for SE in several alfalfa cultivars (Bonat, Hamadany, Makojaran, Planet, Ulstar, Frawer, La Bella Campagniola, Comet, L104) which have not been used in plant regeneration experiments, so far. As explants we used hypocotyls and cotyledons of lightand dark-grown seedlings. The results revealed that media based on Murashige and Skoog’s (Murashige & Skoog 1962) formula were insufficient for SE induction and only production of non-regenerative callus could be obtained. However, when sequence of media containing B5h (Gamborg et al. 1968) and SH (Shenk & Hildebrandt 1972) salts and vitamins, for callus and somatic embryo induction were applied, the formation of numerous globular-shaped embryo-like structures was obtained in culture of most of cultivars. Unfortunately, these structures never developed behind the globularstage. Instead of, they increased in volume and either started to form non-regenerative callus or died when maintained continuously on induction media. In order to determine the possible reasons for difficulties with plant regeneration in alfalfa cultivars tested the histological studies have been undertaken.