Miracle-dz/UniFAR-FTUs huggingface dataset:
Child development in foster family care – what really counts?

ABSTRACT Previous research has demonstrated that children who grow up in foster family care – along with other child welfare recipients – manage less well in adulthood compared to those children who do not. Given this challenge, this integrative literature review locates the critical factors that either positively or negatively affect a child’s development in foster family care. The articles were analysed using theory-driven content classification in relation to Bronfenbrenner’s bioecological framework on child development. The results of the review suggest that there is a wide range of factors that could impact on a child’s development in foster family care. Childrelated factors such as the child’s age, gender, behavioural or mental health problems, etc. were mentioned most often in the data. Microenvironmental factors are also essential to a child’s development. Linkages taking place between two or more of the child’s circumstances, such as the relationship between the child’s birth and foster families and between the foster family and the social worker, were also identified as being influential. Service usage and political and legislative factors, as well as attitudes towards children in care, were also indicated to be strongly influential. It is suggested that the factors identified in this review should be carefully considered as important aspects of care for fostered children and care documentation.
Mothers' Experience in Parenting Disabled Children (Case study: speech-language delay children)

Parenting for children with special needs is not an easy thing for the mothers, including for the mothers who have children with developmental delay in speech and language. This phenomenological qualitative study aims to explore mother's experiences in parenting with speech-and-language delay children. Interviews were conducted with five mothers. The study found that experiencing some problems that cause negative emotional reactions and led to bad parenting behaviour. Hope is a major factor that can change the mother's perspective about their children. It can result in positive parenting behaviours for children's development. These results indicate that hope plays significant roles in the context of parenting children with delayed development. Keywords— parenting; special children
Molecular Characterization and Expression Analysis of Adrenergic Receptor Beta 2 (ADRB2) Gene before and after Exercise in the Horse

The adrenergic receptor beta 2 (ADRB2) plays a role in various physiological responses of the muscle to exercise, such as contraction and relaxation. Given its important role in muscle function, we investigated the structure of the horse ADRB2 gene and its expression pattern after exercise to determine if it can serve as a putative biomarker for recovery. Evolutionary analyses using synonymous and non-synonymous mutation ratios, were compared with other species (human, chimpanzee, mouse, rat, cow, pig, chicken, dog, and cat), and revealed the occurrence of positive selection in the horse ADRB2 gene. In addition, expression analyses by quantitative polymerase chain reaction exhibited ubiquitous distribution of horse ADRB2 in various tissues including lung, skeletal muscle, kidney, thyroid, appendix, colon, spinal cord and heart, with the highest expression observed in the lung. The expression of ADRB2 in skeletal muscle was significantly up-regulated about four folds 30 minutes post-exercise compared to pre-exercise. The expression level of ADRB2 in leukocytes, which could be collected with convenience compared with other tissues in horse, increased until 60 min after exercise but decreased afterward until 120 min, suggesting the ADRB2 expression levels in leukocytes could be a useful biomarker to check the early recovery status of horse after exercise. In conclusion, we identified horse ADRB2 gene and analyzed expression profiles in various tissues. Additionally, analysis of ADBR2 gene expression in leukocytes could be a useful biomarker useful for evaluation of early recovery status after exercise in racing horses.
Stabilization of Homoserine-O-Succinyltransferase (MetA) Decreases the Frequency of Persisters in Escherichia coli under Stressful Conditions

Bacterial persisters are a small subpopulation of cells that exhibit multi-drug tolerance without genetic changes. Generally, persistence is associated with a dormant state in which the microbial cells are metabolically inactive. The bacterial response to unfavorable environmental conditions (heat, oxidative, acidic stress) induces the accumulation of aggregated proteins and enhances formation of persister cells in Escherichia coli cultures. We have found that methionine supplementation reduced the frequency of persisters at mild (37°C) and elevated (42°C) temperatures, as well as in the presence of acetate. Homoserine-o-succinyltransferase (MetA), the first enzyme in the methionine biosynthetic pathway, is prone to aggregation under many stress conditions, resulting in a methionine limitation in E. coli growth. Overexpression of MetA induced the greatest number of persisters at 42°C, which is correlated to an increased level of aggregated MetA. Substitution of the native metA gene on the E. coli K-12 WE chromosome by a mutant gene encoding the stabilized MetA led to reduction in persisters at the elevated temperature and in the presence of acetate, as well as lower aggregation of the mutated MetA. Decreased persister formation at 42°C was confirmed also in E. coli K-12 W3110 and a fast-growing WErph+ mutant harboring the stabilized MetA. Thus, this is the first study to demonstrate manipulation of persister frequency under stressful conditions by stabilization of a single aggregation-prone protein, MetA.
Scalable Visualization and Interactive Analysis Using Massive Data Streams

Historically, data creation and storage has always outpaced the infrastructure for its movement and utilization. This trend is increasing now more than ever, with the ever growing size of scientific simulations, increased resolution of sensors, and large mosaic images. Effective exploration of massive scientific models demands the combination of data management, analysis, and visualization techniques, working together in an interactive setting. The ViSUS application framework has been designed as an environment that allows the interactive exploration and analysis of massive scientific models in a cache-oblivious, hardware-agnostic manner, enabling processing and visualization of possibly geographically distributed data using many kinds of devices and platforms. For general purpose feature segmentation and exploration we discuss a new paradigm based on topological analysis. This approach enables the extraction of summaries of features present in the data through abstract models that are orders of magnitude smaller than the raw data, providing enough information to support general queries and perform a wide range of analyses without access to the original data.
FUSION FRAMEWORK FOR VIDEO EVENT RECOGNITION

This paper presents a multisensor fusion framework for video activities recognition based on statistical reasoning and D-S evidence theory. Precisely, the framework consists in the combination of the events’ uncertainty computation with the trained database and the fusion method based on the conflict management of evidences. Our framework aims to build Multisensor fusion architecture for event recognition by combining sensors, dealing with conflicting recognition, and improving their performance. According to a complex event’s hierarchy, Primitive state is chosen as our target event in the framework. A RGB camera and a RGB-D camera are used to recognise a person’s basic activities in the scene. The main convenience of the proposed framework is that it firstly allows adding easily more possible events into the system with a complete structure for handling uncertainty. And secondly, the inference of DempsterShafer theory resembles human perception and fits for uncertainty and conflict management with incomplete information. The cross-validation of real-world data (10 persons) is carried out using the proposed framework, and the evaluation shows promising results that the fusion approach has an average sensitivity of 93.31% and an average precision of 86.7%. These results are better than the ones when only one camera is used, encouraging further research focusing on the combination of more sensors with more events, as well as the optimization of the parameters in the framework for improvements.
The Original Sin of Cognition: Fear, Prejudice, and Generalization

Introduction Long before we learn to talk, our expectations concerning novel members of a category are shaped by our experience with already encountered members. We expect, for example, that objects that share obvious perceptible qualities will also share dispositional properties. If a given item rattles when shaken, nine-month olds expect that other items which share the same perceptible profile will rattle when shaken. By our first birthday, these inductive inferences are guided by language; we expect that even superficially dissimilar objects will share their hidden properties if they are identified by the same common noun; if, for example, each is introduced as ‘a blickett’.
Platinum versus platinum-combination chemotherapy in platinum-sensitive recurrent ovarian cancer: a meta-analysis using individual patient data.

BACKGROUND The majority of women with ovarian cancer develop recurrent disease. For patients with a platinum-free interval of >6 months, platinum-based chemotherapy is a treatment of choice. The benefit of platinum-based combination chemotherapy in randomized trials varies, and a meta-analysis was carried out to gain more secure information on the size of the benefit of this treatment. MATERIALS AND METHODS We initiated a systematic review and meta-analysis following a pre-specified protocol to determine whether combination chemotherapy is superior to single-agent platinum chemotherapy in women with relapsed platinum-sensitive ovarian cancer. RESULTS A total of five potentially eligible randomized trials were identified that had used combination-platinum chemotherapy versus single-agent platinum chemotherapy in women with relapsed platinum-sensitive ovarian cancer. For one trial (190 patients), adequate contact with the investigators could not be established. Therefore, four trials that randomly assigned 1300 patients were included, with a median follow-up of 36.1 months. Overall survival (OS) analyses were based on 865 deaths and demonstrated evidence for the benefit of combination-platinum chemotherapy (HR = 0.80; 95% CI, 0.64-1.00; P = 0.05). Progression-free survival (PFS) analyses were based on 1167 events and demonstrated strong evidence for the benefit of combination-platinum chemotherapy (HR = 0.68; 95% CI, 0.57-0.81; P < 0.001). There was no evidence of a difference in the relative effect of combination-platinum chemotherapy on either OS or PFS in patient subgroups defined by previous paclitaxel (Taxol) treatment (OS, P = 0.49; PFS, P = 0.66), duration of treatment-free interval (OS, P = 0.86; PFS, P = 0.48) or the number of previous lines of chemotherapy (OS, P = 0.21; PFS, P = 0.27). CONCLUSIONS In this individual patient data (IPD) meta-analysis, we have demonstrated that combination-platinum chemotherapy improves OS and PFS across all subgroups. This provides the strongest evidence to date of the benefit of combination-platinum over single-agent platinum.
Electron microscopy of human fascia lata: focus on telocytes

From the histological point of view, fascia lata is a dense connective tissue. Although extracellular matrix is certainly the most predominant fascia's feature, there are also several cell populations encountered within this structure. The aim of this study was to describe the existence and characteristics of fascia lata cell populations viewed through a transmission electron microscope. Special emphasis was placed on telocytes as a particular interstitial cell type, recently discovered in a wide variety of tissues and organs such as the heart, skeletal muscles, skin, gastrointestinal tract, uterus and urinary system. The conducted study confirmed the existence of a telocyte population in fascia lata samples. Those cells fulfil main morphological criteria of telocytes, namely, the presence of very long, thin cell processes (telopodes) extending from a relatively small cell body. Aside from telocytes, we have found fibroblasts, mast cells and cells with features of myofibroblastic differentiation. This is the first time it has been shown that telocytes exist in human fascia. Currently, the exact role of those cells within the fascia is unknown and definitely deserves further attention. One can speculate that fascia lata telocytes likewise telocytes in other organs may be involved in regeneration, homeostasis and intracellular signalling.
Goal orientation in coaching differs according to region, experience, and education

Goal-setting remains a largely unquestioned element of coaching practice. This study examined the goal orientation of 194 coaches in the U.S. and Europe. An analysis of survey results revealed differences according to region, coaching experience, and education. Specifically, coaches in the USA are more goaloriented than European coaches, and those who have taken a long coaching course are more goal-oriented than those who have learned through experience alone. Goal orientation decreases for more experienced European coaches, but not for U.S. coaches. These findings provide researchers with a reliable measure of goal orientation, and raise questions for further research on goals in coaching.
A novel image fusion rule based on Structure Similarity indices

A novel image fusion rule named “variance-choosemax” based on Structure Similarity Index is proposed in this paper. Firstly, the sparse representation of source image patches are acquired through bases training algorithm K-SVD and pursuit algorithm Orthogonal Matching Pursuit. Then, we group image patches into relevant patches and independent patches according to the Structure Similarity Index of each patch pair. Finally, we fuse the corresponding sparse coefficients of relevant patches and independent patches with “coefficient-choose-max” rule and a new fusion rule named “variance-choose-max” respectively. According to the experiments, our proposed method gains a good performance in visual quality of fused image and also in objective metric.
Observer based dissipative reliable control for Takagi-Sugeno fuzzy systems with time delay

This paper is concerned with the design of α-dissipative reliable control for continuous Takagi-Sugeno (T-S) fuzzy systems with unavailable states and time-varying delay. The sufficient conditions for the existence of fuzzy observer and the α-dissipative reliable fuzzy controller are given in terms of Linear Matrix Inequalities (LMI) which can be solved efficiently by using the LMI optimization techniques. The conditions are obtained by using a free weighting matrix technique (Newton Leibniz formula) without imposing model transformation which reduce the conservatism. The obtained LMI are dependent, not only upon upper bound of time delay, but also on the dissipative margin α and on the actuator failure parameter. Furthermore, a more general actuator failure model is adopted in this paper, which covers the typical work status of actuator, i.e. normal operation, partial degradation and outage. The results of H∞ performance, positive realness and mixed of H∞ and positive real performance are easy corollaries of the dissipative result. A numerical example is given in order to demonstrate the effectiveness of our result.
Diffusion Microscopist Simulator: A General Monte Carlo Simulation System for Diffusion Magnetic Resonance Imaging

This article describes the development and application of an integrated, generalized, and efficient Monte Carlo simulation system for diffusion magnetic resonance imaging (dMRI), named Diffusion Microscopist Simulator (DMS). DMS comprises a random walk Monte Carlo simulator and an MR image synthesizer. The former has the capacity to perform large-scale simulations of Brownian dynamics in the virtual environments of neural tissues at various levels of complexity, and the latter is flexible enough to synthesize dMRI datasets from a variety of simulated MRI pulse sequences. The aims of DMS are to give insights into the link between the fundamental diffusion process in biological tissues and the features observed in dMRI, as well as to provide appropriate ground-truth information for the development, optimization, and validation of dMRI acquisition schemes for different applications. The validity, efficiency, and potential applications of DMS are evaluated through four benchmark experiments, including the simulated dMRI of white matter fibers, the multiple scattering diffusion imaging, the biophysical modeling of polar cell membranes, and the high angular resolution diffusion imaging and fiber tractography of complex fiber configurations. We expect that this novel software tool would be substantially advantageous to clarify the interrelationship between dMRI and the microscopic characteristics of brain tissues, and to advance the biophysical modeling and the dMRI methodologies.
Temporal Naturalism, Free Will, and the Cartesian Myth: Time Is NOT Illusory and We Are NOT ‘Talking Heads’

So when we are balanced between danger and opportunity and the future is unknown, how do we think usefully about the future? If we imagine ourselves living in the cosmos inwhich novelty is an illusion, agency is an illusion, will is an illusion, there is a demoralization that takes place. There’s an alienation that takes place between our aspirations and our view of the universe we live in. Ifwe imagine ourselves living in the universe in which everything changes and everything evolves, and inwhich novelty is a real possibility, in which the imagination of human beings is an organ that takes advantage of the natural capacity to invent novel phenomena, and for novel regularities to arise, then we may get a moral lift. We may think to ourselves, “maybe— even if we can’t see how—it’s possible that we have the agency, the imagination and the will to invent our way out of the problems that face us. ” (Smolin 2013).
Poverty Reduction Strategy Papers—Detailed Analysis of Progress in Implementation, September 15, 2003

III. Recent Country Experience in Implementation . 4 A. Broad Government Ownership . 4 B. Participatory Processes.6 C. PRSP Goals and the Millennium Development Goals.9 D. Poverty and Social Impact Analysis.12 E. Priority Public Actions . 15 Macroeconomic Policy Frameworks and Growth.16 The Design and Implementation of Pro-Poor Growth Policies . 22 Poverty Reducing Spending.26 Public Expenditure Management . 28 F. Results Indicators.33 G. Monitoring . 35 H. Donor Alignment and Harmonization.36 I. Country Reporting on Implementation . 39
Recounting Dyons in N=4 String Theory

A recently discovered relation between 4D and 5D black holes is used to derive weighted BPS black hole degeneracies for 4D N=4 string theory from the well-known 5D degeneracies. They are found to be given by the Fourier coefficients of the unique weight 10 automorphic form of the modular group Sp(2,Z). This result agrees exactly with a conjecture made some years ago by Dijkgraaf, Verlinde and Verlinde.
An action-oriented perspective of learning in classifier systems

Classifier systems constitute a general model of low-level rule-based systems that are capable of environmental interaction and learning. A central characteristic and drawback of the traditional approaches to learning in such systems is that they exclusively work on the rule level, without taking into consideration that the individual rules possess a very complex activity behaviour. This article investigates an alternative, action-oriented perspective of learning in classifier systems which does not suffer from this drawback. According to this perspective learning is realized on the finer action level instead of the coarser rule level. Comparative theoretical and experimental results are presented that show the advantages of the action-oriented over the traditional perspective.
The Case for Distributed Execution Replay Using a Virtual Machine

Debugging grid systems is complex, mainly because of the probe effect and non reproducible execution. The probe effect arises when an attempt to monitor a system changes the behavior of that system. Moreover, two executions of a distributed system with identical inputs may behave differently due to non determinism. Execution replay is a technique developed to facilitate the debugging of distributed systems: a debugger first monitors the execution of a distributed system and then replays it identically. Existing approaches to execution replay only partially address the probe effect and irreproducibility problem. In this paper, we argue for execution replay of distributed systems using a virtual machine approach. The VM approach addresses the irreproducibility problem it does not completely avoid the probe effect. Nevertheless, we believe that the full control of the virtual hardware addresses the probe issue well enough to debug distributed system errors
A New Term-Term Similarity Measure for Selecting Expansion Features in Big Data

The massive growth of information and the exponential increase in the number of documents published and uploaded online each day have led to led to the appearance of new words in the Internet. Due to the difficulty of reaching the meanings of these new terms, which play a central role in retrieving the desired information, it becomes necessary to give more importance to the sites and topics where these new words appear, or rather, to give value to the words that occur frequently with them. For this purpose, in this paper, we propose a new term-term similarity measure based on the co-occurrence and closeness of words. It relies on searching for each query feature the locations where it appears, then selecting from these locations the words which often neighbor and co-occur with the query features, and finally used the selected words in the retrieval process. Our experiments were performed using the OHSUMED test collection and show significant performance enhancement over the state-of-the-art.
Fast Laser Scan Matching using Polar Coordinates

In this paper a novel Polar Scan Matching (PSM) approach is described that works in the laser scanner's polar coordinate system, therefore taking advantage of the structure of the laser measurements and eliminating the need for an expensive search for corresponding points in other scan match approaches. PSM belongs to the family of point to point scan matching approaches with its matching bearing association rule. The performance of PSM is thoroughly evaluated in a simulated experiment, in experiments using ground truth, in experiments aimed at determining the area of convergence and in a SLAM experiment. All results are compared to results obtained using an iterated closest point (ICP) scan matching algorithm implementation. It is found that PSM is superior to the ICP implementation in processing speed and that PSM converges to a correct solution from a larger range of initial positions.
Palm-line Extraction Using Steerable Filters

Palm lines include principal lines and wrinkles, which can uniquely describe an individual palmprint. In this paper, a palm-line extraction approach is presented. It contains two stages: global filtering and local filtering. In the first stage, steerable filters are used in a whole image to extract rough palm lines and obtain approximate direction angles. In the second stage, using steerable filters further extracts palm lines and connects broken palm lines in local regions of a same palmprint image. Experimental results demonstrate the performance effectiveness of this approach