Miracle-dz/UniFAR-FTUs huggingface dataset:
Caring for the caregivers: Evaluation of the effect of an eight-week pilot mindful self-compassion (MSC) training program on nurses’ compassion fatigue and resilience

Background Nurses vicariously exposed to the suffering of those in their care are at risk of compassion fatigue. Emerging research suggests that self-compassion interventions may provide protective factors and enhance resilience. This pilot study examined the effect of an eight-week Mindful Self-Compassion (MSC) training intervention on nurses’ compassion fatigue and resilience and participants’ lived experience of the effect of the training. Methods This observational mixed research pilot study adopted an evaluation design framework. It comprised of a single group and evaluated the effects of a pilot MSC intervention by analyzing the pre- and post-change scores in self-compassion, mindfulness, secondary trauma, burnout, compassion satisfaction, and resilience. The sample of the nurses’ (N = 13) written responses to the question, “How did you experience the effect of this pilot MSC training? ” were also analyzed. Results The Pre- to Post- scores of secondary trauma and burnout declined significantly and were negatively associated with self-compassion (r = -.62, p = .02) (r = -.55, p = .05) and mindfulness (r = -.54, p = .05). (r = -.60, p = .03), respectively. Resilience and compassion satisfaction scores increased. All variables demonstrated a large effect size: Mean (M) Cohen’s d = 1.23. The qualitative emergent themes corroborated the quantitative findings and expanded the understanding about how MSC on the job practices enhanced nurses’ coping. Conclusion This is the first study to examine the effect of a pilot (MSC) training program on nurses’ compassion fatigue and resilience in this new area of research. It provides some preliminary empirical evidence in support of the theorized benefits of self-compassion training for nurses. However, further research, such as a Randomized Control Trial (RCT) with a larger sample size and a longitudinal study, is required to see if the benefits of self-compassion training are sustainable.
An architecture of multi-layered SDN based LTE/WiFi Network for multi-interface D2D users

Software-defined Networking (SDN) emerges as an advanced solution to the challenges of cellular networks including growing traffic and the demand for combining different radio access technologies together. However, managing a huge number of network switches through single central SDN controller limits the efficiency of SDN based network. In this work, we provide a multi-layer SDN based architecture for multi-interface mobile users connected to loosely-coupled LTE/WiFi network. The proposed layered control plane is expected to share the burden of control activities and with Device-to-Device (D2D) communication and multiple interfaces support, efficient data delivery to end users can be made possible.
The “FIFA 11+” injury prevention program improves body stability in child (10 year old) soccer players

The suitability of the FIFA 11+ prevention programme to improve selected performance outcomes in children aged < 14 years has not been established yet. This study aimed to investigate the effects of the FIFA 11+ programme on jump ability and stability in 10-year-old child soccer players. Sixteen young soccer players (aged 10 years) were randomly assigned to a conventional or a FIFA 11+ warm-up group. During a 5-week training period with 2 sessions per week the FIFA 11+ group warmed up with the 11+ programme, whereas the control group subjects performed their usual warm-up programme (e.g. running exercises with dribbling and/or passing techniques included). After the warm-up, both groups performed the same training exercises during each session. Before and after the training period, standing long jump performance and body stability (S3 Check, unstable uniaxial platform) were assessed. Significant improvements in the stability index were found in both groups (5.6±1.1 to 3.5±1.0 and 5.5±0.8 to 4.0±1.5 for the FIFA 11+ and the control group, respectively, p<0.001, partial η²=0.886 for the training effect of the analysis of variance) with likely (qualitative inference analysis) greater improvements in the FIFA 11+ group compared to the control group (p=0.078, partial η²=0.205 for the training x group interaction effect of the analysis of variance). Training had no effect on standing long jump performance (p>0.05). Data indicate that in 10-year-old soccer players the FIFA 11+ programme may have the potential to improve stability. Thus, the FIFA 11+ programme might contribute to injury prevention and possibly to better soccer performance as well. This might especially apply if the programme is performed over a longer period and/or with more weekly training sessions. Based on the present results the inclusion of such a programme within the training practice of the child soccer player can be recommended.
Depression in health college students: relationship factors and sleep quality

ABSTRACT This research was conducted to determine depression symptom frequency in health sciences students (n = 445), to investigate sleep quality and some related factors. In this study of the students approximately one fifth of the students showed depressive symptom. Students with poor academic performance, poor economic status, smoking or alcohol use, chronic illness or mental problems are more likely to experience depression. As sleep quality deteriorates, the level of depression also increases. The risk of depressive symptoms in students with poor sleep quality was 3.28 times.
Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities

Metabarcoding combines DNA barcoding with high‐throughput sequencing, often using one genetic marker to understand complex and taxonomically diverse samples. However, species‐level identification depends heavily on the choice of marker and the selected primer pair, often with a trade‐off between successful species amplification and taxonomic resolution. We present a versatile metabarcoding protocol for biomonitoring that involves the use of two barcode markers (COI and 18S) and four primer pairs in a single high‐throughput sequencing run, via sample multiplexing. We validate the protocol using a series of 24 mock zooplanktonic communities incorporating various levels of genetic variation. With the use of a single marker and single primer pair, the highest species recovery was 77%. With all three COI fragments, we detected 62%–83% of species across the mock communities, while the use of the 18S fragment alone resulted in the detection of 73%–75% of species. The species detection level was significantly improved to 89%–93% when both markers were used. Furthermore, multiplexing did not have a negative impact on the proportion of reads assigned to each species and the total number of species detected was similar to when markers were sequenced alone. Overall, our metabarcoding approach utilizing two barcode markers and multiple primer pairs per barcode improved species detection rates over a single marker/primer pair by 14% to 35%, making it an attractive and relatively cost‐effective method for biomonitoring natural zooplankton communities. We strongly recommend combining evolutionary independent markers and, when necessary, multiple primer pairs per marker to increase species detection (i.e., reduce false negatives) in metabarcoding studies.
Hematological parameters in Ghanaian sickle cell disease patients

Background Effective treatment and management of sickle cell disease (SCD) has been a challenge in Africa over the years. Hematological parameters are very useful profiles in the effective management of the disease. However, there is scarcity of studies on the hematological parameters of SCD in Ghana. This study aimed at determining hematological parameters among SCD patients with vaso-occlusion, those in the steady state as well as healthy controls at a teaching hospital in Ghana. Methodology This was a cross-sectional study involving a total of 628 subjects, including 148 HbAA controls, 208 HbSS patients in steady state, 82 HbSC patients in steady state, 156 HbSS patients in vaso-occlusive crises (VOC), and 34 HbSC patients in VOC. Venous blood sample was collected from all study participants. A full blood count was done within 2 hours of collection, and hemoglobin (Hb) concentration, packed cell volume, red blood cell (RBC) concentration, mean corpuscular Hb, mean cell volume, mean corpuscular Hb concentration, and white blood cells (WBC) and platelet (PLT) counts were recorded. Results WBC and PLT counts were significantly higher in both female and male patients with SCD, compared with their healthy counterparts (P<0.05). The level of WBC was, however, significantly higher in patients with HbSS VOC among the SCD patients (P<0.001). Levels of Hb, RBC, and hematocrit were significantly higher in the controls (P<0.001). There was no significant difference in mean cell Hb among male patients with SCD (P=0.274) and female patients with SCD (P=0.5410). Conclusion The SCD patients had lower Hb and RBC than the controls; however, higher PLT and WBC are noted in various status of SCD, possibly reflecting spleen effect in these patients. Further studies are needed to confirm these findings.
Response to organic cultivation of heirloom Capsicum peppers: Variation in the level of bioactive compounds and effect of ripening

Peppers (Capsicum spp.) are one of the most important vegetables and their double use (vegetable or spice) and two commercial stages (unripe and fully ripe) contributed to their use in many recipes and fast diffusion from America. Nowadays, Spain is a center of diversity for C. annuum, with many landraces, offering a great opportunity for adaptation to organic cultivation. Furthermore, Capsicum peppers contain many bioactive compounds, essential to provide high added-value to these cultivars, especially for organic markets, although knowledge about the effect of organic cultivation on Capsicum fruit quality is still scarce. Here, 37 accessions of Spanish landraces and foreign materials from C. annuum and other species were grown under organic and conventional conditions and evaluated for ascorbic acid (AAC), total phenolics (TP) and total red and yellow/orange carotenoids, considering both ripening stages. A large genotypic variation was found within each ripening stage and growing condition for the studied traits. Also, both stages showed high levels, although fully ripe fruits were the richest. Organic conditions enabled higher levels in fully ripe fruits of AAC and TP on average (135 vs 117 mg·100 g-1 and 232 vs 206 mg·100 g-1) and in most accessions, although the genotype×growing conditions interaction also contributed, but at lower extent, to the observed variation. Significant genotype×ripening stage and growing conditions×ripening stage interactions were also found, suggesting that the magnitude of the increase with ripening depends on the accession and growing conditions. By contrast, there were no differences between growing conditions for carotenoids and differences were mainly due to the genotype factor. Finally, the large genotypic variation and favourable organic conditions allowed identifying several materials from different types and uses with very high levels of bioactive compounds for organic cultivation, in both ripening stages but particularly at fully ripe stage (>500 mg·100 g-1).
Risk Effects of Surrounding Distractors Imposing Time Penalty in Touch-Pointing Tasks

Optimal target size has been studied for touch-GUI design. In addition, because the degree of risk for tapping unintended targets significantly affects users' strategy, some researchers have investigated the effects of margins (or gaps) between GUI items and the risk level (here, a penalty time) on user performance. From our touch-pointing tasks in grid-arranged icons, we found that a small gap and a long penalty time did not significantly change the task completion time, but they did negatively affect the error rates. As a design implication, we recommend using 1-mm gaps to balance the space occupation and user performance. We also found that we could not estimate user performance by using Fitts' and FFitts' laws, probably because participants had to focus their attention on avoiding distractors while aiming for the target.
CTLA‐4 polymorphism rs231775: Influence on relapse and survival after allogeneic hematopoietic stem cell transplantation in childhood

Relapse following allogeneic hematopoietic stem cell transplantation (HSCT) is still linked to a poor prognosis. Mainly, donor`s T‐cells mediate the graft‐versus‐leukemia effect. Cytotoxic T‐lymphocyte antigen‐4 (CTLA‐4) is an inhibitory molecule which down‐regulates T‐cell activation. Single nucleotide polymorphism (SNP) in CTLA‐4 may have an effect on immune response.
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification

Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pattern classification. Contrary to the DNNs trained from end to end by backpropagation (BP), each S-DNN layer, that is, a self-learnable module, is to be trained decisively and independently without BP intervention. In this paper, a ridge regression-based S-DNN, dubbed deep analytic network (DAN), along with its kernelization (K-DAN), are devised for multilayer feature relearning from the pre-extracted baseline features and the structured features. Our theoretical formulation demonstrates that DAN/K-DAN relearn by perturbing the intra/interclass variations, apart from diminishing the prediction errors. We scrutinize the DAN/K-DAN performance for pattern classification on datasets of varying domains—faces, handwritten digits, generic objects, to name a few. Unlike the typical BP-optimized DNNs to be trained from gigantic datasets by GPU, we reveal that DAN/K-DAN are trainable using only CPU even for small-scale training sets. Our experimental results show that DAN/K-DAN outperform the present S-DNNs and also the BP-trained DNNs, including multiplayer perceptron, deep belief network, etc., without data augmentation applied.
Backdoor Decomposable Monotone Circuits and their Propagation Complete Encodings

We describe a compilation language of backdoor decomposable monotone circuits (BDMCs) which generalizes several concepts appearing in the literature, e.g. DNNFs and backdoor trees. A $\mathcal{C}$-BDMC sentence is a monotone circuit which satisfies decomposability property (such as in DNNF) in which the inputs (or leaves) are associated with CNF encodings from a given base class $\mathcal{C}$. We consider different base classes which consist of encodings with various propagation strength. In particular, we consider encodings which implement consistency checker (CC) or domain consistency (DC) by unit propagation, unit refutation complete (URC) and propagation complete (PC) encodings. We show that a representation of a boolean function with a $\mathcal{C}$-BDMC can be transformed in polynomial time into an encoding from $\mathcal{C}$ for any of the classes of CNF encodings mentioned above.
Learning-Based Distributed Resource Allocation in Asynchronous Multicell Networks

A resource allocation problem is tackled in asynchronous multicell downlink LTE-LAA networks in pursuit of proportional fairness maximization by assuming limited channel state information (CSI) exchange. Previous studies solve resource allocation problems by relaxing the problems into fractional frequency resource allocation problems. Specifically, the binary resource allocation indicators are relaxed to real values, and the per-resource block (RB) signal-to-interference-plus-noise ratio (SINR) is averaged over all the RBs. However, the performance of such an approach is far beyond the optimality in frequency-selective channels. We propose a learning-based resource allocation framework only with limited CSI in frequency-selective channels. Without any additional CSI, we build a fully connected neural network architecture, based on which a distributed reinforcement learning algorithm is proposed. The proposed algorithm is implemented by using the TensorFlow library (Version 1.3.0 GPU) and python (Version 2.7). Numerical results show that the proposed learning-based algorithm exhibits enhanced proportional fairness performance compared to existing algorithms even with the same CSI assumption.
Mammalian Taste Bud Cells Utilize Extragemmal 5-Hydroxy-L-Tryptophan to Biosynthesize the Neurotransmitter Serotonin

Serotonin or 5-hydroxytryptamine (5-HT) is an important neurotransmitter that is found in mammalian taste buds and can regulate the output of intragemmal signaling networks onto afferent nerve fibers. However, it is unclear how 5-HT is produced, synthesized locally inside taste buds or absorbed from outside sources. In this study, we attempt to address this question by delineating the process of possible 5-HT biosynthesis within taste buds. First, we verified that the rate-limiting enzyme tryptophan hydroxylase (TPH2) responsible for converting L-tryptophan into the intermediate 5-hydroxy-L-tryptophan (5-HTP) is expressed in a subset of type II taste bud cells (TBCs) whereas the enzyme aromatic L-aromatic amino acid decarboxylase (AADC) capable of converting 5-HTP into 5-HT is found in type III TBCs. And abolishment of TPH2 did not affect the production of intragemmal 5-HT or alter TBCs; the mutant mice did not show any changes in behavioral responses to all five primary taste qualities: sweet, umami, bitter, salty, and sour. Then we identified that 5-HTP as well as AADC are abundant in type III TBCs; and application of an AADC inhibitor significantly blocked the production of 5-HT in taste buds. In contrast, administration of an inhibitor on serotonin-reuptake transporters had minimal impact on the 5-HT amount in taste buds, indicating that exogenous 5-HT is not a major source for the intragemmal transmitter. Taken together, our data indicate that intragemmal serotonin is not biosynthesized de novo from tryptophan; instead, it is produced by AADC-mediated conversion of 5-HTP absorbed from the plasma and/or nerve fibers into 5-HT. Thus, our results suggest that the overall bodily 5-HTP level in the plasma and nervous system can regulate taste buds’ physiological function, and provide an important molecular mechanism connecting these peripheral taste organs with the circulatory and nervous systems.
Using Media Literacy Education for Adolescent Sexual Health Promotion in Middle School: Randomized Control Trial of Media Aware

This study examined the short-term efficacy of Media Aware, a classroom-based media literacy education (MLE) program for improving adolescents’ sexual health outcomes. In a randomized control trial, schools were randomly assigned to the intervention (N = 5 schools) or health promotion control (N = 4 schools) group. Students completed questionnaires at pretest (N = 880 students) and immediate posttest (N = 926 students). The Media Aware program had a significant favorable impact on adolescent outcomes related to sexual health, including increased self-efficacy and intentions to use contraception, if they were to engage in sexual activity; enhanced positive attitudes, self-efficacy, and intentions to communicate about sexual health; decreased acceptance of dating violence and strict gender roles; and increased sexual health knowledge. Program effects were also found for media-related outcomes, including enhanced media deconstruction skills and increased media skepticism. Media deconstruction skills mediated the program’s impact on students’ intentions to communicate with a medical professional about sexual health issues. This study provides support for the use of MLE with adolescents to promote sexual health.
Rhodamine B in spices determined by a sensitive UPLC-MS/MS method

ABSTRACT Rhodamine B (RhB) is a banned food additive and has been classified as illegal colourant. Therefore, the risk of RhB contamination should be strictly monitored. In this study, a sensitive UPLC-MS/MS method was applied to monitor RhB in 292 various spices such as chilli, pepper and tomato products. The results showed 22.7% of chilli powder samples, 18.5% of pepper powder samples, 11.1% of chilli oil samples and 9.1% of pepper oil samples were contaminated with RhB. Chilli powder contained RhB up to 44,935 μg/kg with an average of 743 μg/kg, pepper powder up to 65.9 μg/kg with an average of 4.1 μg/kg, chilli oil up to 14.6 μg/kg with an average of 1.0 μg/kg and pepper oil up to 1.1 μg/kg with an average of 0.2 μg/kg, respectively. Considering the common consumption of chilli products and pepper products by so many consumers, RhB exposure is significant and should be decreased.
Secretory granule protein chromogranin B (CHGB) forms an anion channel in membranes

The CHGB subfamily of secretory granule proteins forms a new family of anion-selective channels by interacting with membranes via two amphipathic α-helices. The channel exhibits higher anion selectivity, larger conductance, higher DIDS-binding affinity, and higher Cl− sensitivity than other known anion channels. Regulated secretion is an intracellular pathway that is highly conserved from protists to humans. Granin family proteins were proposed to participate in the biogenesis, maturation and release of secretory granules in this pathway. However, the exact molecular mechanisms underlying the intracellular functions of the granin family proteins remain unclear. Here, we show that chromogranin B (CHGB), a secretory granule protein, inserts itself into membrane and forms a chloride-conducting channel. CHGB interacts strongly with phospholipid membranes through two amphipathic α helices. At a high local concentration, CHGB insertion in membrane causes significant bilayer remodeling, producing protein-coated nanoparticles and nanotubules. Fast kinetics and high cooperativity for anion efflux from CHGB vesicles suggest that CHGB tetramerizes to form a functional channel with a single-channel conductance of ∼125 pS (150/150 mM Cl−). The CHGB channel is sensitive to an anion channel blocker and exhibits higher anion selectivity than the other six known families of Cl− channels. Our data suggest that the CHGB subfamily of granin proteins forms a new family of organelle chloride channels.