Miracle-dz/UniFAR-FTUs huggingface dataset:
Do Interventions that Promote Awareness of Rights Increase Use of Maternity Care Services? A Systematic Review

Twenty years after the rights of women to go through pregnancy and childbirth safely were recognized by governments, we assessed the effects of interventions that promote awareness of these rights to increase use of maternity care services. Using inclusion and exclusion criteria defined in a peer-reviewed protocol, we searched published and grey literature from one database of studies on maternal health, two search engines, an internet search and contact with experts. From the 707 unique documents found, 219 made reference to rights, with 22 detailing interventions promoting awareness of rights for maternal and newborn health. Only four of these evaluated effects on health outcomes. While all four interventions promoted awareness of rights, they did so in different ways. Interventions included highly-scripted dissemination meetings with educational materials and other visual aids, participatory approaches that combined raising awareness of rights with improving accountability of services, and broader multi-stakeholder efforts to improve maternal health. Study quality ranged from weak to strong. Measured health outcomes included increased antenatal care and facility birth. Improvements in human rights outcomes such as availability, acceptability, accessibility, quality of care, as well as the capacity of rights holders and duty bearers were also reported to varying extents. Very little information on costs and almost no information on harms or risks were described. Despite searching multiple sources of information, while some studies did report on activities to raise awareness of rights, few detailed how they did so and very few measured effects on health outcomes. Promoting awareness of rights is one element of increasing demand for and use of quality maternity care services for women during pregnancy, birth and after birth. To date efforts have not been well documented in the literature and the program theories, processes and costs, let alone health effects have not been well evaluated.
Global Phosphoproteomics Reveals Crosstalk Between Bcr-Abl and Negative Feedback Mechanisms Controlling Src Signaling

Negative feedback fails to limit Src family kinase activity in the presence of Bcr-Abl, an oncoprotein that drives leukemia. When Negative Feedback Fails Bcr-Abl is a fusion protein with tyrosine kinase activity that causes some forms of leukemia. Bcr-Abl activates Src family tyrosine kinases (SFKs), but resistance to drugs, such as dasatinib and imatinib, that target Bcr-Abl and SFKs limits their clinical usefulness. With global tyrosine phosphoproteomic analysis in a murine leukemia cell line model, Rubbi et al. identified several negative feedback mechanisms that limited SFK activity and showed that their effectiveness was blunted by Bcr-Abl. Sensitivity of human leukemia cell lines to imatinib correlated with the amount of negative feedback signaling to SFKs. By exploring the mechanisms by which Bcr-Abl overpowered the negative feedback, the authors identified potential therapeutic targets for treating leukemias resistant to Bcr-Abl and SFK inhibitors or that may be combined with these tyrosine kinase inhibitors to prevent the development of resistance. In subtypes and late stages of leukemias driven by the tyrosine kinase fusion protein Bcr-Abl, signaling by the Src family kinases (SFKs) critically contributes to the leukemic phenotype. We performed global tyrosine phosphoprofiling by quantitative mass spectrometry of Bcr-Abl–transformed cells in which the activities of the SFKs were perturbed to build a detailed context-dependent network of cancer signaling. Perturbation of the SFKs Lyn and Hck with genetics or inhibitors revealed Bcr-Abl downstream phosphorylation events either mediated by or independent of SFKs. We identified multiple negative feedback mechanisms within the network of signaling events affected by Bcr-Abl and SFKs and found that Bcr-Abl attenuated these inhibitory mechanisms. The C-terminal Src kinase (Csk)–binding protein Pag1 (also known as Cbp) and the tyrosine phosphatase Ptpn18 both mediated negative feedback to SFKs. We observed Bcr-Abl–mediated phosphorylation of the phosphatase Shp2 (Ptpn11), and this may contribute to the suppression of these negative feedback mechanisms to promote Bcr-Abl–activated SFK signaling. Csk and a kinase-deficient Csk mutant both produced similar globally repressive signaling consequences, suggesting a critical role for the adaptor protein function of Csk in its inhibition of Bcr-Abl and SFK signaling. The identified Bcr-Abl–activated SFK regulatory mechanisms are candidates for dysregulation during leukemia progression and acquisition of SFK-mediated drug resistance.
Hydrogen in Type Ic Supernovae?

By definition, a Type Ic supernova (SN Ic) does not have conspicuous lines of hydrogen or helium in its optical spectrum. SNe Ic are usually modeled in terms of the gravitational collapse of bare carbon‐oxygen cores. We consider the possibility that the spectra of ordinary (SN 1994I–like) SNe Ic have been misinterpreted, and that SNe Ic eject hydrogen. An absorption feature usually attributed to a blend of Si ii λ6355 and C ii λ6580 may be produced by Hα. If SN 1994I–like SNe Ic eject hydrogen, the possibility that hypernova (SN 1998bw–like) SNe Ic, some of which are associated with gamma‐ray bursts, also eject hydrogen should be considered. The implications of hydrogen for SN Ic progenitors and explosion models are briefly discussed.
Addressing Challenges to Homeland Security Information Sharing in American Policing: Using Kotter’s Leading Change Model

The sharing of homeland security information is a crucial aspect of modern policing in the United States. This article outlines some of the obstacles to information sharing at the state and local levels, including interagency and intra-agency issues that arise for police agencies. It explores the complexities of information sharing across a highly decentralized policing system. Many police departments lack a formal intelligence function that limits their ability to share information. This article offers an organizational change model using John Kotter’s Leading Change principles that police agencies of any size can follow. It outlines Kotter’s eight-stage process from establishing a sense of urgency through anchoring new approaches in the culture to create a framework for police departments to integrate homeland security information sharing. Its intent is to provide a framework for police agencies to incrementally implement some of the recommendations of the various strategic documents that guide information sharing.
Effects of Mindfulness Training on Body Awareness to Sexual Stimuli: Implications for Female Sexual Dysfunction

Objectives: Treatments of female sexual dysfunction have been largely unsuccessful because they do not address the psychological factors that underlie female sexuality. Negative self-evaluative processes interfere with the ability to attend and register physiological changes (interoceptive awareness). This study explores the effect of mindfulness meditation training on interoceptive awareness and the three categories of known barriers to healthy sexual functioning: attention, self-judgment, and clinical symptoms. Methods: Forty-four college students (30 women) participated in either a 12-week course containing a "meditation laboratory" or an active control course with similar content or laboratory format. Interoceptive awareness was measured by reaction time in rating physiological response to sexual stimuli. Psychological barriers were assessed with self-reported measures of mindfulness and psychological well-being. Results: Women who participated in the meditation training became significantly faster at registering their physiological responses (interoceptive awareness) to sexual stimuli compared with active controls (F(1,28) = 5.45, p = . 03, &eegr;p2 = 0.15). Female meditators also improved their scores on attention (t = 4.42, df = 11, p = .001), self-judgment, (t = 3.1, df = 11, p = .01), and symptoms of anxiety (t = −3.17, df = 11, p = .009) and depression (t = −2.13, df = 11, p < .05). Improvements in interoceptive awareness were correlated with improvements in the psychological barriers to healthy sexual functioning (r = −0.44 for attention, r = −0.42 for self-judgment, and r = 0.49 for anxiety; all p < .05). Conclusions: Mindfulness-based improvements in interoceptive awareness highlight the potential of mindfulness training as a treatment of female sexual dysfunction.FSAD = female sexual arousal disorder; MAAS = Mindful Attention Awareness Scale; FFMQ = Five Facet Mindfulness Questionnaire; SPWB = Scales of Psychological Well-being; BSI = Brief Symptom Inventory; SAM = Self-Assessment Manikin
Strategy for Adopting Information technology for SMEs: Experience in Adopting Email within an Indonesian Furniture Company

In order to adopt IT, SMEs need to consider drivers and barriers that can influence the IT adoption success. This paper proposes a guideline to assists SMEs in adopting IT. The guidelines are formulated based on existing literature and authors’ experience in assisting Indonesian SMEs. An example of adopting email have been used to illustrate the process.
Crystal Structure and Carbohydrate-binding Properties of the Human Cartilage Glycoprotein-39*

The human cartilage glycoprotein-39 (HCgp-39 or YKL40) is expressed by synovial cells and macrophages during inflammation. Its precise physiological role is unknown. However, it has been proposed that HCgp-39 acts as an autoantigen in rheumatoid arthritis, and high expression levels have been associated with cancer development. HCgp-39 shares high sequence homology with family 18 chitinases, and although it binds to chitin it lacks enzymatic activity. The crystal structure of HCgp-39 shows that the protein displays a (β/α)8-barrel fold with an insertion of an α + β domain. A 43-Å long carbohydrate-binding cleft is present at the C-terminal side of the β-strands in the (β/α)8 barrel. Binding of chitin fragments of different lengths identified nine sugar-binding subsites in the groove. Protein-carbohydrate interactions are mainly mediated by stacking of side chains of aromatic amino acid residues. Surprisingly, the specificity of chitin binding to HCgp-39 depends on the length of the oligosaccharide. Although chitin disaccharides tend to occupy the distal subsites, longer chains bind preferably to the central subsites in the groove. Despite the absence of enzymatic activity, long chitin fragments are distorted upon binding, with the GlcNAc at subsite –1 in a boat conformation, similar to what has been observed in chitinases. The presence of chitin in the human body has never been documented so far. However, the binding features observed in the complex structures suggest that either chitin or a closely related oligosaccharide could act as the physiological ligand for HCgp-39.
Endocannabinoids and Inflammatory Response in Periodontal Ligament Cells

Endocannabinoids are associated with multiple regulatory functions in several tissues. The main endocannabinoids, anandamide (AEA) and 2-arachidonylglycerol (2-AG), have been detected in the gingival crevicular fluid of periodontitis patients, but the association between periodontal disease or human periodontal ligament cells (hPdLCs) and endocannabinoids still remain unclear. The aim of the present study was to examine the effects of AEA and 2-AG on the proliferation/viability and cytokine/chemokine production of hPdLCs in the presence/absence of Porphyromonas gingivalis lipopolysaccharide (P. gingivalis LPS). The proliferation/viability of hPdLCs was measured using 3,4,5-dimethylthiazol-2-yl-2,5-diphenyl tetrazolium bromide (MTT)-assay. Interleukin-6 (IL-6), interleukin-8 (IL-8), and monocyte chemotactic protein-1 (MCP-1) levels were examined at gene expression and protein level by real-time PCR and ELISA, respectively. AEA and 2-AG did not reveal any significant effects on proliferation/viability of hPdLCs in the absence of P. gingivalis LPS. However, hPdLCs viability was significantly increased by 10–20 µM AEA in the presence of P. gingivalis LPS (1 µg/ml). In the absence of P. gingivalis LPS, AEA and 2-AG did not exhibit any significant effect on the expression of IL-8 and MCP-1 expression in hPdLCs, whereas IL-6 expression was slightly enhanced by 10 µM 2-AG and not affected by AEA. In P.gingivalis LPS stimulated hPdLCs, 10 µM AEA down-regulated gene-expression and protein production of IL-6, IL-8, and MCP-1. In contrast, 10 µM 2-AG had an opposite effect and induced a significant up-regulation of gene and protein expression of IL-6 and IL-8 (P<0.05) as well as gene-expression of MCP-1 in P. gingivalis LPS stimulated hPdLCs. Our data suggest that AEA appears to have an anti-inflammatory and immune suppressive effect on hPdLCs’ host response to P.gingivalis LPS, whereas 2-AG appears to promote detrimental inflammatory processes. In conclusion, AEA and 2-AG might play an important role in the modulation of periodontal inflammation.
Hilbert-Chain Topology for Energy Conservation in Large-Scale Wireless Sensor Networks

This paper addresses the efficient consumption of wireless sensor nodes' battery energy for sensor data collection in a large-scale wireless sensor network. In a large scale deployment of sensor nodes, nodes require a significant fraction of battery energy for establishing and maintaining sensory data routing path from each node to a base station or sink node. In order to reduce the energy dissipation of nodes and thus prolong the lifetime of network, the study proposes an energy-efficient routing protocol, which combines a grid clustering strategy, a intra-cluster tree-based data collection, and a novel Hilbert chain over the cluster heads to reduce data transmission distance and to relax a lot of burden on topology control during the lifespan of the network. By computer simulation, the proposed protocol was shown to have better performance than other similar protocols in term of energy saving and network life time under the random deployment of nodes in wireless sensor networks.
Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products

The present research proposes schema congruity as a theoretical basis for examining the effectiveness and consequences of product anthropomorphism. Results of two studies suggest that the ability of consumers to anthropomorphize a product and their consequent evaluation of that product depend on the extent to which that product is endowed with characteristics congruent with the proposed human schema. Furthermore, consumers’ perception of the product as human mediates the influence of feature type on product evaluation. Results of a third study, however, show that the affective tag attached to the specific human schema moderates the evaluation but not the successful anthropomorphizing of the product.
Monte Carlo Linear System Solver using MapReduce

Solving systems of linear algebraic equations (SLAE) is a problem often encountered in fields like engineering, physics, computer science and economics. As the number of unknowns in the linear system grows, the runtime and the memory requirement of solving SLAE increases dramatically. To manage this, the execution of the solver should be parallelizable and be performed in distributed environments like cloud. However, to fully take the advantage of cloud infrastructure, one should adapt the SLAE to frameworks that can successfully exploit the cloud resources like the MapReduce framework, which provides automatic parallelism, scalability and fault tolerance. With this goal, in our previous work we have adapted a SLAE algorithm Conjugate Gradient (CG) to Hadoop MapReduce framework. However, the relative complexity and the iterative structure of the CG algorithm makes it unsuited for Hadoop, which is designed for embarrassingly parallel data intensive tasks. One of the most widely used types of embarrassingly parallel algorithms are algorithms based on the Monte Carlo method. This paper presents a Monte Carlo based linear system solver that is adapted to the MapReduce model, and compares the resulting parallel efficiency and scalability to the CG implementation. The detailed analysis shows that the algorithm performs better than the Hadoop CG implementation, however loses to Twister, an alternative MapReduce implementation.
A review of quantitative methods for movement data

The collection, visualization, and analysis of movement data is at the forefront of geographic information science research. Movement data are generally collected by recording an object's spatial location (e.g., XY coordinates) at discrete time intervals. Methods for extracting useful information, for example space–time patterns, from these increasingly large and detailed datasets have lagged behind the technology for generating them. In this article we review existing quantitative methods for analyzing movement data. The objective of this article is to provide a synthesis of the existing literature on quantitative analysis of movement data while identifying those techniques that have merit with novel datasets. Seven classes of methods are identified: (1) time geography, (2) path descriptors, (3) similarity indices, (4) pattern and cluster methods, (5) individual–group dynamics, (6) spatial field methods, and (7) spatial range methods. Challenges routinely faced in quantitative analysis of movement data include difficulties with handling space and time attributes together, representing time in GIS, and using classical statistical testing procedures with space–time movement data. Areas for future research include investigating equivalent distance comparisons in space and time, measuring interactions between moving objects, developing predictive frameworks for movement data, integrating movement data with existing geographic layers, and incorporating theory from time geography into movement models. In conclusion, quantitative analysis of movement data is an active research area with tremendous opportunity for new developments and methods.
Group Formation through Indirect Reciprocity

The emergence of group structure of cooperative relations is studied in an agent-based model. It is proved that specific types of reciprocity norms lead individuals to split into two groups only inside of which they are cooperative. The condition for the evolutionary stability of the norms is also obtained. This result suggests reciprocity norms, which usually promote cooperation, can cause society’s separation into multiple groups.
Coping, academic engagement and performance in university students

ABSTRACT The aim of this study is to evaluate the relationships between coping (i.e., adaptive or maladaptive), academic engagement dimensions (i.e., vigor, dedication and absorption) and academic performance, as well as the mediating role of academic engagement dimensions in the relationship between coping and academic performance. Data were collected from a sample of 808 undergraduate students at a Spanish university. Participants completed the Coping Strategies Inventory for the measurement of coping strategies and the Utrecht Work Engagement Student Scale for the measurement of academic engagement. Academic performance was evaluated by the grade point average. Results showed that adaptive coping, academic engagement dimensions and academic performance were positively related. Maladaptive coping was negatively related to performance, but there were no significant correlations between maladaptive coping and any academic engagement dimension. Mediation analysis showed that engagement dimensions mediated the relationship between adaptive coping and performance. Adaptive coping increased academic vigor, dedication and absorption and these dimensions improved performance in turn. In conclusion, this study provides evidence of the way in which academic engagement mediates between adaptive coping and performance. The theoretical interpretation of the results and the potential applications for intervention are discussed.
CREB Mediates UTP-Directed Arterial Smooth Muscle Cell Migration and Expression of the Chemotactic Protein Osteopontin via Its Interaction with Activator Protein-1 Sites

The transcription factor cAMP responsive element-binding protein (CREB) has been found to be involved in arterial smooth muscle cell (SMC) migration. We previously demonstrated that osteopontin (OPN) expression is a key step for UTP-mediated migration of arterial SMCs and that activator protein (AP)-1, nuclear factor &kgr;B, and upstream stimulatory transcription factors are involved in this OPN expression. The present study aims to determine the role of CREB in UTP-induced migration and OPN expression in cultured SMCs. We found that CREB is activated by UTP via extracellular signal-regulated kinase 1/2 and p38 mitogen-activated protein kinase pathways but not by protein kinase A. Both overexpression of a dominant negative CREB and CREB small interfering RNA treatment suppressed UTP-induced OPN expression and SMC migration. Gel-shift and chromatin immunoprecipitation assays revealed that CREB binds 2 AP-1 sites (−1870 and −76) and a cAMP responsive element–like site (−1403) on the OPN promoter. Mutations of these sites showed that only the 2 AP-1 sites were required for UTP-induced OPN expression. Moreover, gel-supershift and sequential chromatin immunoprecipitation assays suggested that CREB was associated with c-Fos on the AP-1 sites of the OPN promoter. These results demonstrate that CREB participates in the induction of UTP-activated OPN expression via its binding to 2 AP-1 sites and is thus involved in UTP-mediated SMC migration.
Scenario planning in social enterprises; the case of South Yorkshire

The concept of social entrepreneurship is increasingly attracting interest as an area of academic scrutiny. Despite this development there is very little scholarly attention given to the way social enterprises plan and develop strategies to address challenges posed by changes in the environment in which they operate. Drawing on a qualitative case study of two enterprises, this study explores the role of scenario planning in the social enterprise sector. The result shows that this strategic management planning technique, traditionally associated with large capitalised commercial enterprises, is becoming a key component of the practice of social enterprises in South Yorkshire.
Repurposing the CRISPR-Cas9 system for targeted DNA methylation

Epigenetic studies relied so far on correlations between epigenetic marks and gene expression pattern. Technologies developed for epigenome editing now enable direct study of functional relevance of precise epigenetic modifications and gene regulation. The reversible nature of epigenetic modifications, including DNA methylation, has been already exploited in cancer therapy for remodeling the aberrant epigenetic landscape. However, this was achieved non-selectively using epigenetic inhibitors. Epigenetic editing at specific loci represents a novel approach that might selectively and heritably alter gene expression. Here, we developed a CRISPR-Cas9-based tool for specific DNA methylation consisting of deactivated Cas9 (dCas9) nuclease and catalytic domain of the DNA methyltransferase DNMT3A targeted by co–expression of a guide RNA to any 20 bp DNA sequence followed by the NGG trinucleotide. We demonstrated targeted CpG methylation in a ∼35 bp wide region by the fusion protein. We also showed that multiple guide RNAs could target the dCas9-DNMT3A construct to multiple adjacent sites, which enabled methylation of a larger part of the promoter. DNA methylation activity was specific for the targeted region and heritable across mitotic divisions. Finally, we demonstrated that directed DNA methylation of a wider promoter region of the target loci IL6ST and BACH2 decreased their expression.