Miracle-dz/UniFAR-FTUs huggingface dataset:
The Lysine Acetyltransferase Activator Brpf1 Governs Dentate Gyrus Development through Neural Stem Cells and Progenitors

Lysine acetylation has recently emerged as an important post-translational modification in diverse organisms, but relatively little is known about its roles in mammalian development and stem cells. Bromodomain- and PHD finger-containing protein 1 (BRPF1) is a multidomain histone binder and a master activator of three lysine acetyltransferases, MOZ, MORF and HBO1, which are also known as KAT6A, KAT6B and KAT7, respectively. While the MOZ and MORF genes are rearranged in leukemia, the MORF gene is also mutated in prostate and other cancers and in four genetic disorders with intellectual disability. Here we show that forebrain-specific inactivation of the mouse Brpf1 gene causes hypoplasia in the dentate gyrus, including underdevelopment of the suprapyramidal blade and complete loss of the infrapyramidal blade. We trace the developmental origin to compromised Sox2+ neural stem cells and Tbr2+ intermediate neuronal progenitors. We further demonstrate that Brpf1 loss deregulates neuronal migration, cell cycle progression and transcriptional control, thereby causing abnormal morphogenesis of the hippocampus. These results link histone binding and acetylation control to hippocampus development and identify an important epigenetic regulator for patterning the dentate gyrus, a brain structure critical for learning, memory and adult neurogenesis.
Chemical reactivity indices and mechanism‐based read‐across for non‐animal based assessment of skin sensitisation potential

The skin sensitisation potential of chemicals is currently assessed using in vivo methods where the murine local lymph node assay (LLNA) is typically the method of first choice. Current regulatory initiatives are driving the impetus for the use of in vitro/in silico alternative approaches to provide the relevant information needed for the effective assessment of skin sensitisation, for both hazard characterisation and risk assessment purposes. A chemical must undergo a number of steps for it to induce skin sensitisation but the main determining step is formation of a stable covalent association with carrier protein. The ability of a chemical to react covalently with carrier protein nucleophiles relates to both its electrophilic reactivity and its hydrophobicity.
Bit Flipping-Sum Product Algorithm for regular LDPC codes

In this paper we present Low Density Parity Check decoding algorithm that assemble two different algorithms: Sum-Product and Bit-Flipping; we denote Bit Flipping-Sum Product Algorithm (BFSP). To reduce the bit error rate, we perform the Bit-Flipping algorithm after the Sum-Product algorithm. Simulation results over an additive white Gaussian channel show that the error performance of a LDPC codes with Bit Flipping-Sum Product decoding is within 0.2 dB of the standard Sum-Product decoding algorithms. Furthermore, the decoding complexity of the proposed BFSP algorithm is maintained at the same level as that of the standard Sum-Product algorithm.
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities

Since the early demonstration of the curative potential of radiation therapy for tumor sterilization, normal tissue toxicity continues to be dose limiting. Accurate prediction of patient¿s complication risk would allow personalization of treatment planning decisions. Nonlinear kernel methods can provide a robust framework for learning complex interactions between observed toxicities and treatment, anatomical, and patient-related variables. However, proper application of these powerful methods would require better understanding of a high-dimensional feature space that is spanned by all these variables. In this work, we investigate methods for visualization of this high-dimensional space and compare different approaches for extracting discriminant features. Our preliminary results demonstrate that principle component analysis is a valuable tool for visualizing high dimensional data and for determining proper kernel type. In addition, variable selection based on resampling methods within the logistic regression framework seemed to yield improved prediction performance compared to the recursive-feature elimination method.
Everyday mobilities, place and spirituality: Constructing subjective spiritual geographies in contemporary Bristol, UK

The New Mobilities Paradigm (Urry, 2007) and contemporary geographies understand places as sites of movement and flow that are dynamically related to other spaces (Massey, 1994). However religious places are traditionally treated as static or fixed entities and privilege institutional, rather than personal, spatialities of religion. As contemporary sociologies of religion (Heelas and Woodhead, 2005; Davie, 2006) recognise a shift from communal obligation models of social life to an emphasis on personal fulfilment and wellbeing, geographies of religion (Kong, 2010) have also addressed the individual’s spiritual practices and beliefs outside of the ‘official’ institutional spaces of religion. This research examined the interaction between everyday mobilities and personal spiritual practices of Baptist church and Buddhist meditation centre attendees using a mixed methods approach (participant-observation; questionnaires; diary-interviews) to evidence a variety of practices at home, work, recreation and the journeys made between such sites. Local and global flows of virtual, communicative and imagined mobilities in the churches and meditation centres were also identified. Participants were found to thread together a variety of sites on their everyday time-space paths into what I term ‘subjective spiritual geographies’ in which they could engage and maintain their spiritual practices and beliefs. Participants drew upon a wide range of materials and mobilities in both pre-planned ‘strategic’ and improvised ‘tactical’ sets of response to situations and in doing so created critical spaces of contemporary secular, mobilities infiltrated society. The thesis contributes to existing geographies of religion literature by evidencing the personal spiritual practices of the individual as well as local and global scales of religious places of congregation. It builds upon this literature by suggesting the implication of a range of mobilities is a key component in constructing places for spiritual practices and destabilises assumptions of the identity and distinction between ‘religious’ and ‘secular’ spaces.
A simplified method for busulfan monitoring using dried blood spot in combination with liquid chromatography/tandem mass spectrometry.

RATIONALE Busulfan (Bu) is an important component of the myeloablative conditioning regimen prior to hematopoietic stem cell transplantation (HSCT) especially in children. Intravenously administered Bu exhibits a therapeutic window phenomenon requiring therapeutic drug monitoring. Analytical methods developed for Bu routine monitoring were aimed at using low volumes of biological fluids and development of simple procedures to facilitate the dosage adjustment. In this report, we describe a simple, rapid method for Bu measurement using dried blood spots (DBS) from only 5 μL of whole blood. METHODS Bu extracted from DBS with methanol was measured by high-performance liquid chromatography with electrospray ionization and tandem mass spectrometry in multiple reaction monitoring mode using D8-Bu as an internal standard. The method was in-house validated evaluating trueness, repeatability, within-laboratory reproducibility, specificity and the lower limit of quantification (LLOQ). RESULTS The method was linear in the calibration range of 100-2000 ng mL(-1) (r(2)>0.99) encompassing the therapeutic concentrations of Bu. A good trueness (<14%), precision (<10%), and recovery (100%) were observed during validation of the method with quality controls of 300, 600 and 1400 ng mL(-1). The LLOQ was determined as 50 ng mL(-1) and no matrix or carryover effects were observed. The validated method was applied to measure Bu levels in four children receiving infusion of Bu prior to HSCT. A good correlation was observed between the Bu levels measured by DBS and dried plasma spot (DPS) (r(2) =0.96) and between DPS and the GC/MS method (r(2) =0.92). Bu was found to be stable in DBS up to 6 h at room temperature and for 24 h at 4 °C. CONCLUSIONS The new DBS method facilitates earlier dosage adjustment during Bu therapy by its specific and simple procedure using 5 μL of whole blood.
Inducing mitophagy in diabetic platelets protects against severe oxidative stress

Diabetes mellitus (DM) is a growing international concern. Considerable mortality and morbidity associated with diabetes mellitus arise predominantly from thrombotic cardiovascular events. Oxidative stress‐mediated mitochondrial damage contributes significantly to enhanced thrombosis in DM. A basal autophagy process has recently been described as playing an important role in normal platelet activation. We now report a substantial mitophagy induction (above basal autophagy levels) in diabetic platelets, suggesting alternative roles for autophagy in platelet pathology. Using a combination of molecular, biochemical, and imaging studies on human DM platelets, we report that platelet mitophagy induction serves as a platelet protective mechanism that responds to oxidative stress through JNK activation. By removing damaged mitochondria (mitophagy), phosphorylated p53 is reduced, preventing progression to apoptosis, and preserving platelet function. The absence of mitophagy in DM platelets results in failure to protect against oxidative stress, leading to increased thrombosis. Surprisingly, this removal of damaged mitochondria does not require contributions from transcription, as platelets lack a nucleus. The considerable energy and resources expended in “prepackaging” the complex mitophagy machinery in a short‐lived normal platelet support a critical role, in anticipation of exposure to oxidative stress.
Microsoft CEP Server and Online Behavioral Targeting

In this demo, we present the Microsoft Complex Event Processing (CEP) Server, Microsoft CEP for short. Microsoft CEP is an event stream processing system featured by its declarative query language and its multiple consistency levels of stream query processing. Query composability, query fusing, and operator sharing are key features in the Microsoft CEP query processor. Moreover, the debugging and supportability tools of Microsoft CEP provide visibility of system internals to users. Web click analysis has been crucial to behavior-based online marketing. Streams of web click events provide a typical workload for a CEP server. Meanwhile, a CEP server with its processing capabilities plays a key role in web click analysis. This demo highlights the features of Microsoft CEP under a workload of web click events.
Paracrine Stimulation of P2X7 Receptor by ATP Activates a Proliferative Pathway in Ovarian Carcinoma Cells

P2X7 is a purinergic receptor‐channel; its activation by ATP elicits a broad set of cellular actions, from apoptosis to signals for survival. Here, P2X7 expression and function was studied in human ovarian carcinoma (OCA) cells, and biopsies from non‐cancerous and cancer patients were analyzed by immunohistochemistry. Ovarian surface epithelium in healthy tissue expressed P2X7 at a high level that was maintained throughout the cancer. The cell lines SKOV‐3 and CAOV‐3 were used to investigate P2X7 functions in OCA. In SKOV‐3 cells, selective stimulation of P2X7 by 2′(3′)‐O‐(4‐benzoylbenzoyl) adenosine‐5′‐triphosphate (BzATP) induced a dose‐dependent increase of intracellular Ca2+ concentration ([Ca2+]i) but not cell death. Instead, BzATP increased the levels of phosphorylated ERK and AKT (pERK and pAKT), with an EC50 of 44 ± 2 and 1.27 ± 0.5 μM, respectively; 10 μM BzATP evoked a maximum effect within 15 min that lasted for 120 min. Interestingly, basal levels of pERK and pAKT were decreased in the presence of apyrase in the medium, strongly suggesting an endogenous, ATP‐mediated phenomenon. Accordingly: (i) mechanically stimulated cells generated a [Ca2+]i increase that was abolished by apyrase; (ii) apyrase induced a decrease in culture viability, as measured by the MTS assay for mitochondrial activity; and (iii) incubation with 10 μM AZ10606120, a specific P2X7 antagonist and transfection with the dominant negative P2X7 mutant E496A, both reduced cell viability to 70.1 ± 8.9% and to 76.5 ± 5%, respectively, of control cultures. These observations suggested that P2X7 activity was auto‐induced through ATP efflux; this increased pERK and pAKT levels that generated a positive feedback on cell viability. J. Cell. Biochem. 115: 1955–1966, 2014. © 2014 Wiley Periodicals, Inc.
Effective Magnetic-Loop Array Antenna With Enhanced Gain in the Azimuth Plane

Based on a modified annular ring coupled circular patch antenna, a two-magnetic current-loop array antenna is designed, fabricated, and characterized. The prototype antenna has omnidirectional radiation pattern in the azimuth plane, and the beam peak features an elevation angle of 18 ° with a maximum gain of 4.2 dB. In the azimuth plane, a gain of 3.36 dB is achieved, which is about 1.6 dB higher than the value for a single-loop antenna in the small radius extreme. The compact and low-profile structure makes the antenna easy to be conformal to other surfaces.
Arabidopsis CULLIN3 Genes Regulate Primary Root Growth and Patterning by Ethylene-Dependent and -Independent Mechanisms

CULLIN3 (CUL3) together with BTB-domain proteins form a class of Cullin-RING ubiquitin ligases (called CRL3s) that control the rapid and selective degradation of important regulatory proteins in all eukaryotes. Here, we report that in the model plant Arabidopsis thaliana, CUL3 regulates plant growth and development, not only during embryogenesis but also at post-embryonic stages. First, we show that CUL3 modulates the emission of ethylene, a gaseous plant hormone that is an important growth regulator. A CUL3 hypomorphic mutant accumulates ACS5, the rate-limiting enzyme in ethylene biosynthesis and as a consequence exhibits a constitutive ethylene response. Second, we provide evidence that CUL3 regulates primary root growth by a novel ethylene-dependant pathway. In particular, we show that CUL3 knockdown inhibits primary root growth by reducing root meristem size and cell number. This phenotype is suppressed by ethylene-insensitive or resistant mutations. Finally, we identify a function of CUL3 in distal root patterning, by a mechanism that is independent of ethylene. Thus, our work highlights that CUL3 is essential for the normal division and organisation of the root stem cell niche and columella root cap cells.
Template-based Composition of Semantic Web Services

Workﬂow templates are necessary for various different Web Service related tasks such as encoding business rules in a B2B application, specifying domain knowledge in a scien-tiﬁc Grid application, and deﬁning preferences for users that interact with Web Services. Abstract activities in templates can be used to specify the features of a required service and concretes service can be discovered and used to generate executable workﬂows. In this paper, we examine how Web ontologies can be used to write such template descriptions that will allow ﬂexible matchmaking of services. We discuss the importance of expressing preferences in templates and provide a ranking algorithm based on DL inference services. We then present the HTN-DL formalism – an extension to the HTN planning formalism to generate compositions of Web Services based on these templates. Finally we present the experimental evaluation for the composition system we proposed.
An empirical study of visual features for part based model

Object detection is a fundamental task in computer vision. Deformable part based model has achieved great success in the past several years, demonstrating very promising performance. Many papers emerge on part based model such as structure learning, learning more discriminative features. To help researchers better understand the existing visual features' potential for part based object detection and promote the deep research into part based object representation, we propose an evaluation framework to compare various visual features' performance for part based model. The evaluation is conducted on challenging PASCAL VOC2007 dataset which is widely recognized as a benchmark database. We adopt Average Precision (AP) score to measure each detector's performance. Finally, the full evaluation results are present and discussed.
The role of gene–environment correlations and interactions in middle childhood depressive symptoms

Abstract Depression is known to be associated with a wide array of environmental factors. Such associations are due at least in part to genetic influences on both. This issue has been little explored with preadolescent children. Measures of family chaos and parenting style at age 9 and child depressive symptoms at age 12 were completed by 3,258 twin pairs from the Twins Early Development Study and their parents. Quantitative genetic modeling was used to explore common and unique genetic and environmental influences on both family environment and later depressive symptoms. Depressive symptoms at age 12 were significantly heritable. Moderate genetic effects influenced parenting style and family chaos at the age of 9, indicating gene–environment correlation. There were significant genetic correlations between family environment and depressive symptoms. There was some evidence of a Gene × Environment interaction, with stronger genetic effects on depressive symptoms for children with more suboptimal family environment. There was an Environment × Environment interaction, with effects of nonshared environment on depressive symptoms stronger for twins with more adverse parenting experiences. There is some evidence for gene–environment correlation between aspects of family environment in middle childhood and subsequent depressive symptoms. This suggests that one of the mechanisms by which genes lead to depressive symptoms may be by themselves influencing depressogenic environments.
Parents reading with their 10-month-old babies: key predictors for high-quality reading styles

ABSTRACT Sixty-five parent–infant dyads were observed reading an unfamiliar book at home. Parents’ use of language-stimulating and emotionally rich reading styles was measured via a specially developed Book Sharing Scale for Infants. Aspects of child temperament were assessed by the Infant Characteristics Questionnaire [Bates, J. E. , Freeland, C. A. B. , & Lounsbury, M. L. (1979). Measurement of infant difficultness. Child Development, 50(3), 794–803], and parents responsivity was measured by the Caregiver Interaction Scale [Arnett, J. (1989). Caregiver interaction scale. Princeton, NJ: Educational Testing Service]. Parents’ socio-economic status and education, parents’ impression of their child being unsociable and the warmth of the caregiver’s interaction were positively predictive of the quality of the reading interaction. This suggests that the extent to which parents employ high-quality reading styles with their 10-month-old babies, depends on socio-demographic variables, children’s ability to communicate with their parents, and the overall affective quality of their relationship.
Predictors of young adults' amphetamine use and disorders: a prospective study.

INTRODUCTION AND AIMS Understanding the risk factors that predict amphetamine use and development of amphetamine abuse or dependence (disorder) may help guide preventive interventions. This study aimed to investigate the correlates and predictors of young adults' amphetamine use and use disorders. DESIGN AND METHODS Prospective cohort, population-based study which started in Brisbane, South East Queensland (Australia) in 1981. The study participants were a cohort of 2042 young adults, followed up from birth to young adulthood. At the 21-year follow-up, amphetamine use was assessed via a self-report questionnaire, and amphetamine use disorder (AUD) was assessed using the Composite International Diagnostic Interview (CIDI-Auto). Potential predictors (15 risk factors) were assessed between baseline (antenatal visit) and the 21-year follow-up. These included participant's gender, mother's age and education, maternal marital status and quality of marital relationship, maternal tobacco and alcohol consumption, mother-child communication, child mental health and problem behaviours, child smoking and alcohol consumption and child school performance. RESULTS Young adult amphetamine users were more likely to have concurrent symptoms of mental illness and problem behaviours and to use or abuse cigarettes, cannabis, or other illicit drugs. In multivariate analyses, young adults' amphetamine use and disorder were disproportionately more common among males and those who have prospectively reported aggression/delinquency or smoking at 14 years, or who have experienced childhood sexual abuse. CONCLUSIONS Our findings suggest that problem behaviours, smoking and childhood sexual abuse are predictors of initiation to use of amphetamines and development of amphetamine abuse and dependence.
Reasoning Systems for Diagnostics and Prognostics

Traditionally, automated diagnostic methods have been based on identifying a single parameter which characterizes the behavior of a piece of equipment in the presence of a specific fault or a group of faults. Management of the equipment is based on removal from service should the parameter rise above a given, predetermined level, identified on the basis of previous experience. It is very rare, however, that a single parameter manages to capture all the information relevant to a given fault condition, such that optimal fleet management can be achieved on this basis alone. Rather, it is much more common that relevant information is contained in a number of different parameters, each describing a different aspect of the situation. In these circumstances, the optimal maintenance strategy can only be achieved using some form of reasoning system, which indicates the most appropriate action based on some weighting of the available evidence. Many different methodologies for performing automated reasoning have been developed within the artificial intelligence community, a number of which have been exploited within systems developed for diagnostic and prognostic purposes. However little, if any, attempt has been made to understand how the differences between these methods affect the results produced, and indeed whether there is any substantive difference between them. In this paper, different automated reasoning systems which have been proposed for equipment diagnostics and prognostics applications are considered and evaluated from a practical viewpoint. The basic principles behind each method are described, as are the fundamental properties which derive from these. A comparison of how useful the different properties are likely to be in practical applications is provided, and the various problems and limitations associated with each are discussed. Finally, areas where difficulties remain are highlighted.