Miracle-dz/UniFAR-FTUs huggingface dataset:
SELF-COMPASSION AND INTERPERSONAL COGNITIVE

The purpose of this study is to examine the relationships between self-compassion and interpersonal cognitive distortions. Participants were 338 university students. In this study, the Self-compassion Scale and the Interpersonal Cognitive Distortions Scale were used. The relationships between self-compassion and interpersonal cognitive distortions were examined using correlation analysis and the hypothesis model was tested through structural equation modeling. In correlation analysis, self-kindness, common humanity, and mindfulness factors of self-compassion were found negatively and self-judgment, isolation, and over-identification factors of self-compassion were found positively related to interpersonal cognitive distortions. The model demonstrated excellent fit (χ/df= 1.37, p=.036, GFI=.97, AGFI=.94, CFI=.99, NFI=.98, IFI=.99, RFI=.96, SRMR=.036, and RMSEA=.040) and also accounted for 93% of interpersonal cognitive distortions variances. According to path analysis results, interpersonal cognitive distortions were predicted negatively by self-kindness, common humanity, and mindfulness. Further self-judgment, isolation, and over-identification predicted interpersonal cognitive distortions in a positive way. Results were discussed in the light of the related literature.
Compressed Exposure Sequences for HDR Imaging

High dynamic range (HDR) imaging techniques allow photographers to capture the luminance distribution in the real-world as it is, freeing them from the limitations of capture and display devices. One common approach for creating HDR images is the multiple exposures technique (MET). This technique is preferred by many photographers as multiple exposures can be captured with off-the-shelf digital cameras and later combined into an HDR image. In this study, we propose a storage scheme in order to simplify the maintenance and usability of such sequences. In our scheme, multiple exposures are stored inside a single JPEG file with the main image representing a user-selected reference exposure. Other exposures are not directly stored, but rather their differences with each other and the reference is stored in a compressed manner in the metadata section of the same file. This allows a significant reduction in file size without impacting quality. If necessary the original exposures can be reconstructed from this single JPEG file, which in turn can be used in a standard HDR workflow.
ASYMPTOTIC CORRUGATION BOUNDARY CONDITION IN THE FINITE DIFFERENCE TIME DOMAIN METHOD

The asymptotic corrugation boundary condition (ACBC) for periodic corrugated structures is implemented with the FDTD method. The ACBC is an anisotropic averaging type of boundary condition that allows modeling the corrugation region as a homogeneous region. The ACBC approach has been found to be accurate in its modeling when the number of corrugations per wavelength is more than 10. The validity of the ACBC modeling is verified as the results are compared to detailed model. The ACBC simplify the model and allow using larger cell that cause reduction of the memory requirements and much less computational time.
Estimation of Operational Properties of Lubricant Coolant Liquids by Optical Methods

Comprehensive tribotechnical and optical studies of lubricating-coolant liquids have been performed, which can be used when machining parts of marine diesel engines. Tribotechnical studies were carried out on a three-finger frictional testing machine; optical studies were performed on an original spectrophotometric installation that implements the method of dichroism in the absorption of impurity molecules. The article quotes results of the comprehensive studies which allowed determining qualitative characteristics of thin lubricating layers – the equilibrium thickness of the epitropic liquid crystal layer and the tribological characteristics of the contacting surfaces (normal load resistance force and torque). The thickness of the liquid crystal layer increases the elastic-damping properties of lubricating coolant liquids, which reduces the friction torque in tribocoupling. The effect of surfactants, being part of composition of lubricating coolant liquids, on the formation of wall-adjacent orientation-ordered layers is considered. The authors propose a lubricating coolant liquid, including potassium oleate as a surfactant. It is identified that the boundary layer thickness of lubricating coolant liquids can reach 13.5 . 15.8 mcm, and the proposed optical method for impurity molecule absorption dichroism may be used to evaluate anti-friction properties of lubricating coolant liquids as an alternative to high-energy and long-lasting tribotechnical studies.
Acetylcholine synthesis in different regions of the central nervous system

In the present paper an attempt has been made to map out, in the central nervous system of the dog, the distribution of the enzyme (or enzyme system) which synthesizes acetylcholine. It has been shown that this enzyme can be extracted from acetone-dried tissue (Feldberg & Mann, 1944) and that such extracts, when incubated aerobically, form large amounts of acetylcholine in the presence of KCI, MgCl2, choline, cysteine, citrate and adenosine-triphosphate (Nachmansohn & Machado, 1943; Nachmansohn, John & Waelsch, 1943; Nachmansohn & John, 1945; Feldberg & Mann, 1944, 1945, 1946; Feldberg & Hebb, 1947). Since this method is applicable to very small amounts of tissue, it was possible to compare the enzyme concentration in various quite small regions of the central nervous system.
A New Mix Design Method for UHPC based on Stepwise Optimization of Particle Packing Density

This paper presents a new approach which is based on stepwise optimization of particle packing density for ultra-high performance concrete (UHPC) mix design. At first the method of superplasticizer-water solution demand measurement was used to find out the compatibility of the commercial raw materials of cements, silica fumes, quartz powders and superplasticizers regarding packing density and strength. As a result, the most suitable components and the optimum cementitious pastes were determined. Subsequently the optimum cementitious pastes with a fixed volume were combined with the blended aggregate which was formed by the combination of different grain aggregates of quartz sands or (and) crushed basalts. Based on the determination of the highest self-flowability and the lowest plastic viscosity for concretes the optimum mix proportions for UHPCs were recognized corresponding to the optimum blended aggregate. Four different self-compacting UHPC series with the different maximum grain sizes of 1 mm, 2.5 mm, 4 mm, 8 mm and compressive strength higher than 190 MPa were developed. In comparison to the reference mixtures the developed optimum UHPCs were much more effective in term of materials saving and performance improving.
Improved V-SLAM for Mobile Robot Based on Kinect

A novel double restriction method contains Euclidean distance and angle threshold is proposed to deal with the problem of easy to fall into local optimum and large matching error in the traditional iterative closest points (ICP) algorithm, and a indoor mobile robot RGB-D simultaneous localization and mapping (SLAM) using Kinect camera is further developed. Firstly, use Kinect camera to get color information and depth information for the indoor environment, through the image feature extraction and matching procedure, combined with the camera intrinsic parameters and Pixel depth values, the association between two 3D point clouds is established. Secondly, the initial registration is completed by using the random sample consensus (RASAC) algorithm to remove outliers. Meanwhile, accurate registration is completed by the improved ICP algorithm. Finally, we introduce the weight in the selection of key frames, optimize robot pose by using g2o algorithm. The experiment proves the effectiveness and feasibility of the method, improves the accuracy of the 3D point cloud map, and estimates the robot trajectory.
Safety and security in preschools: A challenge in informal settlements

School safety is important in enhancing children's learning. It is defined as measures put in place by staff, parents, learners and other stakeholders. The measures are meant to minimise risk conditions that may cause accidents, bodily injury as well as emotional and psychological distress. Accidents, if not prevented, can cause disability or death, while emotional and psychological trauma can lead to lack of self-esteem which may result in poor performance in education. Therefore meaningful teaching and learning cannot happen in an environment that is not safe and secure for both learners and staff. This article presents findings of a study conducted in preschools in informal settlements in Nairobi County, Kenya, focusing on safety and security for children in preschools. A mixed methods approach involving concurrent qualitative and quantitative data collection procedures was utilised for the study, conducted in 54 preschools involving 54 head teachers/managers, 78 pre-school teachers and four officers in education in Nairobi City County. Findings revealed that government has endeavoured to come up with guidelines and minimum standards through various policies, but preschools in informal settlements are experiencing a myriad of challenges impacting negatively on children's learning. Among these are poor infrastructure, lack of play space and play equipment, congested classrooms and school compounds not fenced. In view of the challenges, it is recommended that county government in collaboration with other stakeholders in early childhood should come up with model preschools in informal settlements to create conducive learning environments. There is also a need for frequent inspection of preschools to ensure that safety and security standards are observed and implemented.
Information Security in an Identity Management Lifecycle: Mitigating Identity Crimes

Identity management is a wide area that deals with identifying individuals or entities in a system (such as a nation, community, network, or organization) and controlling access to resources or use and flow of transactions (e.g., financial) within systems by associating user rights and restrictions with the established identity (identifiers). A qualitative interpretive methodology was adopted with industry and government organizational experts interviewed. In addition, secondary data were collected and analyzed. We used a lifecycle frame to interpret themes and issues from interview transcripts and other collated secondary data. The paper's contribution is to make sense of ‘identity’ in offline and/or online channels and to extend a 3stage identity management lifecycle framework (IDSP, 2008) to four which includes: initial ‘enrolment’, ‘transacting’ ‘database’, and ‘purging’.
Challenges in Deep Learning

In recent years, Deep Learning methods and architectures have reached impressive results, allowing quantum-leap improvements in performance in many difficult tasks, such as speech recognition, end-to-end machine translation, image classification/understanding, just to name a few. After a brief introduction to some of the main achievements of Deep Learning, we discuss what we think are the general challenges that should be addressed in the future. We close with a review of the contributions to the ESANN 2016 special session on Deep Learning.
A Powerful Optimization Tool for Analog Integrated Circuits Design

This paper presents a new optimization tool for analog circuit design. The proposed tool is based on the robust version of the differential evolution optimization method. Corners of technology, temperature, voltage and current supplies are taken into account during the optimization. That ensures robust resulting circuits. Those circuits usually do not need any schematic change and are ready for the layout. The newly developed tool is implemented directly to the Cadence design environment to achieve very short setup time of the optimization task. The design automation procedure was enhanced by optimization watchdog feature. It was created to control optimization progress and moreover to reduce the search space to produce better design in shorter time. The optimization algorithm presented in this paper was successfully tested on several design examples.
Colour: an experiential path between theory and practice

Colour is one of the human activities with strong multidisciplinary characteristics. As we know, colour is a psycho-perceptive sensation that derives from lighting stimuli external to our brain, from the context in which we receive them, from our personal history and also from the cultural context in which we operate. In practical applications, colour is fundamental for many areas of human production. To name a few among the best known: industrial products, fashion, communication, interior and landscape design. Most of the time, professionals in these fields use different terms and different languages to refer to colour attributes. These difficulties are due to the intrinsic multidisciplinary nature of colour and to its many different possible applications and related technologies. Moreover, colours have emotional, cultural and symbolic valences and working with colour can sometimes look like a matter of personal preference. At the Italian Color Association, in collaboration with the Politecnico di Milano, in 2017 we designed and realised, with people coming from different countries, a post-graduate educational experiential path that starts from the scientific bases of physics, colorimetry and visual perception, passing through the intercultural aspects of colour, to get to design experiences in the contexts of communication, industrial production, landscape design, interior design and fashion design, which we present in this article.
U-Pb ISOTOPIC STUDIES ON THE KITTILÄ GREENSTONE AREA , CENTRAL LAPLAND , FINLAND by

Rastas, P, Huhma, H. , Hanski, E. , Lehtonen, M.I. , Härkönen, I. , Kortelainen, V. , Mänttäri, I. & Paakkola, J. 2001. U-Pb isotopic studies on the Kittilä greenstone area, central Lapland, Finland. Geological Survey of Finland, Special Paper 33, 95-141. 31 figures, one table and 3 appendices. This paper reports 227 previously unpublished U-Pb isotopic analyses on zircon, titanite and monazite from 51 samples in the Kittilä greenstone area, Central Finnish Lapland. These consist of metadiabases and metagabbros (17 samples), felsic volcanic rocks (11), granitoids (7), mainly quartzitic metasediments (10) and cobbles from conglomerates (6 samples). The reported U-Pb age determinations on intrusive mafic rocks fall into three groups indicating ages of c. 2.2 Ga, 2.05 Ga and 2.0 Ga. The oldest group represents the Haaskalehto-type mafic differentiated intrusions, while the younger ones are collectively called metadiabases and gabbros. The 2.2 Ga Haaskalehto-type intrusions provide a minimum age for the metasediments of the Sodankylä Group. The 2.0-2.06 Ga metadiabases and gabbros in turn intrude rocks of the overlying Savukoski Group. The felsic volcanic rocks in the Kittilä greenstone area yield both Archean and Proterozoic zircon ages. The rocks with Archean ages (2.75-2.72 Ga) are strongly altered dacitic and rhyolitic tuffs, but the Archean age is not fully supported by the geological interpretation of the volcanites and part of the zircons may be xenocrystic in origin. These rocks are older than the intruding 2.2 Ga old Haaskalehto-type dykes. According to the radiometric data, the Proterozoic porphyries can be divided into three main groups (2.01-2.02 Ga, c. 1.92 Ga and 1.88 Ga) having different geochemical and petrographical features. The porphyries of the oldest group are quartzand plagioclasephyric dacites and rhyolites. The field characteristics suggest they are coeval with the associated mafic volcanic rocks of the Kittilä Group. This is consistent with the age of a 1.92 Ga porphyry dyke, which cuts the metavolcanic rocks of the Kittilä Group. The 1.88 Ga porphyritic felsic metavolcanic rocks occur stratigraphically in the lower part of the Lainio Group. They are chemically calc-alkaline trachytes with a remarkably high content of K 2 O (average 8.9 wt %). U-Pb ages show that they are roughly coeval with the Haaparanta Suite quartz monzonites in western Lapland. The dated detrital minerals from quartzites belonging to the Proterozoic Sodankylä Group indicate an Archean provenance (~2.8 Ga). A much younger age of deposition is indicated for the Lainio Group conglomerates by fragments of felsic porphyry and deformed granitoid, which are 1873±11 Ma and 1888±22 Ma old, respectively. Relatively young sources are also indicated for the Kumpu Group quartzites by a 1928±6 Ma age obtained for a porphyry cobble from a conglomerate at Mantovaara. The dated monazites of the Kumpu Group are 1.89 Ga and 1.90 Ga old. The analyses show that a Jatulian or any older origin can be excluded for the Lainio and Kumpu Groups. 141
REAL-TIME NUMERICAL 0-5 COUNTING BASED ON HAND-FINGER GESTURES RECOGNITION

A well Pointing out by hand for originating some gestures is highly useful in terms of human computer interactions especially when mute people desire to speak something, here a difficulty is raised by delivering their message to the outside world. Therefore, these people can do easily some tasks by drawing a gesture in air using their hands in front of a computer camera which translates these gestures to a speech or text to be understood by other people. Part of hand gesture recognition is counting by hand. This paper proposes a new technique describing hand gesture numerals which are from 0 to 5 that are pointed out by people to be understood by a computer. The technique is implemented by reading a frame as an image then extracting only hand by using YCbCr colour space filter. Then, it is converting to black and white image. After that, number is assigned to a gesture by counting number of flip as white to black from left to right on an intelligently selected path to be scanned on. The experiment was conducted using 180 random hand gesture frames taken from random people, the result of this recognition rate is recorded as 98%.
THE HITRAP DECELERATOR AND BEAM INSTRUMENTATION

A linear decelerator is being commissioned for heavy, highly-charged ions (HCI) at GSI in Darmstadt/Germany. HCI with only one or few electrons are interesting systems for many different experiments as for instance precision tests of the theory of quantum electrodynamics (QED). In order to transform heavy HCI produced at 400 MeV/u to stored and cooled HCI at low energy the linear decelerator facility HITRAP has been setup behind the experimental storage ring (ESR). The ions are decelerated in the ESR from 400 to 4 MeV/u, cooled and extracted. The ions are then matched to an interdigital H-type structure (IH) using a double drift buncher, decelerated from 4 to 0.5 MeV/u in the IH, and then down to 6 keV/u in a 4-rod radio frequency quadrupole (RFQ). To detect and analyze the weak and sparse ion bunches a new type of energy analyzing detector has been developed along with improvements of other standard beam instrumentation. One million highly charged ions have been decelerated with the IH from 400 MeV/u to about 0.5 MeV/u per cycle. The RFQ has shown in off-line tests to decelerate ions, however, the measured longitudinal acceptance does not fit the properties of the ion beam decelerated in the IH. This requires a refined design, which is underway.
NEW APPROACH TO IMPROVE ANOMALY DETECTION USING A NEURAL NETWORK OPTIMIZED BY HYBRID ABC AND PSO ALGORITHMS

Intrusion detection is one of the most significant concerns in network safety. Improvements have been proposed from various perspectives. One such proposal is improving the classification of packets in a network to determine whether the classified packets contain harmful packages. In this study, we present a new approach for intrusion detection using a hybrid of the artificial bee colony (ABC) algorithm and particle swarm optimization (PSO) to develop an artificial neural network with increased precision in classifying malicious from harmless traffic in a network. Our proposed algorithm is compared with four other algorithms employed in WEKA tool, namely, radial basis function, voted perceptron, logistic regression, and multilayer perceptron. The system is first prepared, and then suitable biases and weights, for the feed-forward neural network are selected using the hybrid ABC–PSO algorithm. Then, the network is retrained using the prepared information, which has been generated from the ideal weights and biases, to establish the intrusion-detection model. The KDD Cup 1999 data set is used as the information set in comparing our proposed algorithm with the other algorithms. The experiment shows that the proposed method outperforms the four classification algorithms and is suitable for network intrusion detection.
Viral and host cofactors facilitate HIV‐1 replication in macrophages

Human immunodeficiency virus type 1 (HIV‐1) infection of CD4+ T lymphocytes leads to their progressive loss, whereas HIV‐1‐infected macrophages appear to resist HIV‐1‐mediated apoptotic death. The differential response of these two host‐cell populations may be critical in the development of immunodeficiency and long‐term persistence of the virus. Multiple contributing factors may favor the macrophage as a resilient host, not only supporting infection by HIV‐1 but also promoting replication and persistence of this member of the lentivirus subfamily of primate retroviruses. An encounter between macrophages and R5 virus engages a signal cascade eventuating in transcriptional regulation of multiple genes including those associated with host defense, cell cycle, nuclear factor‐κB regulation, and apoptosis. It is important that enhanced gene expression is transient, declining to near control levels, and during this quiescent state, the virus continues its life cycle unimpeded. However, when viral replication becomes prominent, an increase in host genes again occurs under the orchestration of viral gene products. This biphasic host response must fulfill the needs of the parasitic virus as viral replication activity occurs and leads to intracellular and cell surface‐associated viral budding. Inroads into understanding how HIV‐1 co‐opts host factors to generate a permissive environment for viral replication and transmission to new viral hosts may provide opportunities for targeted interruption of this lethal process.
Comparing the self concept of children with cerebral palsy to the perceptions of their parents

Purpose. Understanding self concept is important for therapists treating children with cerebral palsy because knowing what children and parents think about perceived competencies and adequacies can be taken into account in determining treatment goals. This study investigated: (i) If differences existed between the self concept ratings of children with cerebral palsy compared to their parent's perception of their child's abilities and attributes, and (ii) the strength of association between the child and parent ratings. Method. Thirty children (14 females, 16 males; mean age 11 years 5 months, SD 2 years 6 months, range 8–16 years) with spastic hemiplegia or diplegia and gross motor skills classified as level I or II on the Gross Motor Function Classification System rated their self-concept using the Self-Perception Profile for Children questionnaire. Their parents completed the accompanying Parent Rating Scale. Results. Group differences between the parents and children were found for the domains of Athletic Competence and Physical Appearance. There was either no relationship or a low level of association between the child and parent ratings in all five domains of self concept assessed. Conclusion. Parents were unable to evaluate their child's self concept accurately suggesting health professionals should gather such information from the child themselves.