Miracle-dz/UniFAR-FTUs huggingface dataset:
Screening Child Social-emotional and Behavioral Functioning in Low-Income African Country Contexts.

Background children in low-income countries (LICs). Currently, there is little information available on the use of brief screening instruments Increased attention is being paid to identifying and responding to the social-emotional and behavioral needs of in LICs. The lack of psychometrically sound brief assessment tools creates a challenge in determining the population prevalence of child social-emotional and behavioral risk burden in Sub-Saharan African (SSA) country contexts. This study sought to determine the reliability and validity of three brief parent-rated screening tools-the Social Competence Scale (SCS), Pictorial Pediatric Symptom Checklist (PPSC), and the Strengths and Difficulties Questionnaire (SDQ)-in Uganda. These tools consider both strength- and pathology-based dimensions of child outcomes. Methods Parents of 154 Ugandan 5-9 year-old children who were enrolled in Nursery to Primary 3 in Kampala (the capital city of Uganda) and part of a school-based mental health intervention trial were recruited and interviewed. About 54% of parents had educational attainment of primary school level or less. One hundred and one of these parents were interviewed a second time, about 5 months after the first/baseline assessment. Data from both time points were utilized to assess reliability and validity. Results Inspection of psychometric properties supports the utility of these three brief screening measures to assess children's social-emotional and behavioral functioning as demonstrated by adequate internal consistency, temporal stability, discriminant validity, concurrent validity, and predictive validity. Subscales from three screening measures were inter-related and associated with family characteristics, such as parental depression and food insecurity, in the expected directions. Conclusion This study provides evidence supporting the appropriateness of using three tools and applying the developmental and behavioral constructs measured in each assessment in a low-income African setting.
Genome Sequencing Reveals a Large and Diverse Repertoire of Antimicrobial Peptides

Competition among bacterial members of the same ecological niche is mediated by bacteriocins: antimicrobial peptides produced by bacterial species to kill other bacteria. Bacteriocins are also promising candidates for novel antimicrobials. Streptococcus pneumoniae (the “pneumococcus”) is a leading cause of morbidity and mortality worldwide and a frequent colonizer of the human nasopharynx. Here, 14 newly discovered bacteriocin gene clusters were identified among >6,200 pneumococcal genomes. The molecular epidemiology of the bacteriocin clusters was investigated using a large global and historical pneumococcal dataset dating from 1916. These analyses revealed extraordinary bacteriocin diversity among pneumococci and the majority of bacteriocin clusters were also found in other streptococcal species. Genomic hotspots for the integration of different bacteriocin gene clusters were discovered. Experimentally, bacteriocin genes were transcriptionally active when the pneumococcus was under stress and when two strains were co-cultured in broth. These findings reveal much more diversity among bacterial defense mechanisms than previously appreciated, which fundamentally broaden our understanding of bacteriocins relative to intraspecies and interspecies nasopharyngeal competition and bacterial population structure.
Life history trade-offs and the partitioning of maternal investment

ABSTRACT Lay Summary: This review sets out the hypothesis that life history trade-offs in the maternal generation favour the emergence of similar trade-offs in the offspring generation, mediated by the partitioning of maternal investment between pregnancy and lactation, and that these trade-offs help explain widely reported associations between growth trajectories and NCD risk. Growth patterns in early life predict the risk of non-communicable diseases (NCDs), but adaptive explanations remain controversial. It is widely assumed that NCDs occur either because of physiological adjustments to early constraints, or because early ecological cues fail to predict adult environmental conditions (mismatch). I present an inter-generational perspective on developmental plasticity, based on the over-arching hypothesis that a key axis of variability in maternal metabolism derives from life history trade-offs, which influence how individual mothers partition nutritional investment in their offspring between pregnancy and lactation. I review evidence for three resulting predictions: (i) Allocating relatively more energy to growth during development promotes the capacity to invest in offspring during pregnancy. Relevant mechanisms include greater fat-free mass and metabolic turnover, and a larger physical space for fetal growth. (ii) Allocating less energy to growth during development constrains fetal growth of the offspring, but mothers may compensate by a tendency to attain higher adiposity around puberty, ecological conditions permitting, which promotes nutritional investment during lactation. (iii) Since the partitioning of maternal investment between pregnancy and lactation impacts the allocation of energy to ‘maintenance’ as well as growth, it is expected to shape offspring NCD risk as well as adult size and body composition. Overall, this framework predicts that life history trade-offs in the maternal generation favour the emergence of similar trade-offs in the offspring generation, mediated by the partitioning of maternal investment between pregnancy and lactation, and that these trade-offs help explain widely reported associations between growth trajectories and NCD risk.
The Importance of Generation Order in Language Modeling

Neural language models are a critical component of state-of-the-art systems for machine translation, summarization, audio transcription, and other tasks. These language models are almost universally autoregressive in nature, generating sentences one token at a time from left to right. This paper studies the influence of token generation order on model quality via a novel two-pass language model that produces partially-filled sentence “templates” and then fills in missing tokens. We compare various strategies for structuring these two passes and observe a surprisingly large variation in model quality. We find the most effective strategy generates function words in the first pass followed by content words in the second. We believe these experimental results justify a more extensive investigation of the generation order for neural language models.
Neodendryphiella, a novel genus of the Dictyosporiaceae (Pleosporales)

Abstract In a survey of soil and herbivore dung microfungi in Mexico and Spain, several dendryphiella-like species were found. Phylogenetic analyses based on ITS and LSU sequences showed that these fungi belonged to the family Dictyosporiaceae (Pleosporales) and represent an undescribed monophyletic lineage distant from Dendryphiella. Therefore, the genus Neodendryphiella is proposed to accommodate three new species, N.mali, N.michoacanensis and N.tarraconensis. The novel genus shares morphological features with Dendryphiella such as differentiated conidiophores and polytretic integrated conidiogenous cells, that produce acropetal branched chains of conidia. Neodendryphiella differs in the absence of nodulose conidiophores bearing conidiogenous cells with pores surrounded by a thickened and darkened wall, typical features in the conidiogenous apparatus of Dendryphiella. In addition, the phylogenetic and morphological analysis of several reference strains of different Dendryphiella species, available for comparison, support the proposal of D.variabilissp. nov., which mainly differs from the other species of the genus by having conidia up to 7 septa and highlight that D.vinosa and D.infuscans are obscure species that require further taxonomic review.
Assessing the partners of the RBP9-mRNP complex in Trypanosoma cruzi using shotgun proteomics and RNA-seq

ABSTRACT Gene expression regulation in trypanosomes differs from other eukaryotes due to absence of transcriptional regulation for most of their genes. RNA-binding proteins (RBPs) associate with mRNAs and other regulatory proteins to form ribonucleoprotein complexes (mRNPs), which play a major role in post-transcriptional regulation. Here, we show that RBP9 is a cytoplasmic RBP in Trypanosoma cruzi with one RNA-recognition motif (RRM). The RBP9 sedimentation profile in a sucrose gradient indicated its presence in cytoplasmic translational complexes, suggesting its involvement in translation regulation. Taking this result as a motivation, we used shotgun proteomics and RNA-seq approaches to assess the core of the RBP9-mRNP complex. In epimastigotes in exponential growth, the complex was composed mostly by RBPs involved in RNA metabolism, such as ZC3H39, UBP1/2, NRBD1, and ALBA3/4. When parasites were subjected to nutritional stress, our analysis identified regulatory RBPs and the translation initiation factors eIF4E5, eIF4G5, eIF4G1, and eIF4G4. The RNA-seq results showed that RBP9-mRNP complex regulates transcripts encoding some RBPs – e.g. RBP5, RBP6, and RBP10 -, and proteins involved in metabolic processes. Therefore, we argue that RBP9 is part of cytoplasmic mRNPs complexes associated with mRNA metabolism and translation regulation in T. cruzi.
STDP Learning of Image Patches with Convolutional Spiking Neural Networks

Spiking neural networks are motivated from principles of neural systems and may possess unexplored advantages in the context of machine learning. A class of convolutional spiking neural networks is introduced, trained to detect image features with an unsupervised, competitive learning mechanism. Image features can be shared within subpopulations of neurons, or each may evolve independently to capture different features in different regions of input space. We analyze the time and memory requirements of learning with and operating such networks. The MNIST dataset is used as an experimental testbed, and comparisons are made between the performance and convergence speed of a baseline spiking neural network.
Parallel evolution and adaptation to environmental factors in a marine flatfish: Implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus)

Unraveling adaptive genetic variation represents, in addition to the estimate of population demographic parameters, a cornerstone for the management of aquatic natural living resources, which, in turn, represent the raw material for breeding programs. The turbot (Scophthalmus maximus) is a marine flatfish of high commercial value living on the European continental shelf. While wild populations are declining, aquaculture is flourishing in southern Europe. We evaluated the genetic structure of turbot throughout its natural distribution range (672 individuals; 20 populations) by analyzing allele frequency data from 755 single nucleotide polymorphism discovered and genotyped by double‐digest RAD sequencing. The species was structured into four main regions: Baltic Sea, Atlantic Ocean, Adriatic Sea, and Black Sea, with subtle differentiation apparent at the distribution margins of the Atlantic region. Genetic diversity and effective population size estimates were highest in the Atlantic populations, the area of greatest occurrence, while turbot from other regions showed lower levels, reflecting geographical isolation and reduced abundance. Divergent selection was detected within and between the Atlantic Ocean and Baltic Sea regions, and also when comparing these two regions with the Black Sea. Evidence of parallel evolution was detected between the two low salinity regions, the Baltic and Black seas. Correlation between genetic and environmental variation indicated that temperature and salinity were probably the main environmental drivers of selection. Mining around the four genomic regions consistently inferred to be under selection identified candidate genes related to osmoregulation, growth, and resistance to diseases. The new insights are useful for the management of turbot fisheries and aquaculture by providing the baseline for evaluating the consequences of turbot releases from restocking and farming.
The Impact of Prescription Drug Monitoring Programs on U.S. Opioid Prescriptions

This paper seeks to understand the treatment effect of Prescription Drug Monitoring Programs (PDMPs) on opioid prescription rates. Using county-level panel data on all opioid prescriptions in the U.S. between 2006 and 2015, we investigate whether state interventions like PDMPs have heterogeneous treatment effects at the sub-state level, based on regional and temporal variations in policy design, extent of urbanization, race, and income. Our models comprehensively control for a set of county and time fixed effects, countyspecific and time-varying demographic controls, potentially endogenous time-series trends in prescription rates, and other state-level opioid interventions such as Naloxone Access and Good Samaritan laws, Medicaid expansion, and the provision of Methadone Assistance Treatment. We find that PDMPs are only effective in reducing prescription rates if they obligate doctors to check for patients' history prior to filling out a prescription, but the frequency at which a state requires its PDMP to be updated is irrelevant to its effectiveness. Moreover, the significant treatment effects of PDMPs are almost exclusively driven by urban and predominantly white counties, with the relatively more affluent regions showing greater responsiveness than their less affluent counterparts.
Where do all the subtypes go? Temporal dynamics of H8–H12 influenza A viruses in waterfowl

Abstract Influenza A virus (IAV) is ubiquitous in waterfowl. In the northern hemisphere IAV prevalence is highest during the autumn and coincides with a peak in viral subtype diversity. Although haemagglutinin subtypes H1–H12 are associated with waterfowl hosts, subtypes H8–H12 are detected very infrequently. To better understand the role of waterfowl in the maintenance of these rare subtypes, we sequenced H8–H12 viruses isolated from Mallards (Anas platyrhynchos) from 2002 to 2009. These rare viruses exhibited varying ecological and phylodynamic features. The Eurasian clades of H8 and H12 phylogenies were dominated by waterfowl sequences; mostly viruses sequenced in this study. H11, once believed to be a subtype that infected charadriiformes (shorebirds), exhibited patterns more typical of common virus subtypes. Finally, subtypes H9 and H10, which have maintained lineages in poultry, showed markedly different patterns: H10 was associated with all possible NA subtypes and this drove HA lineage diversity within years. Rare viruses belonging to subtypes H8–H12 were highly reassorted, indicating that these rare subtypes are part of the broader IAV pool. Our results suggest that waterfowl play a role in the maintenance of these rare subtypes, but we recommend additional sampling of non-traditional hosts to better understand the reservoirs of these rare viruses.
Developing Minority Nursing Students: Evaluation of an Innovative Mentorship and Leadership Program.

BACKGROUND There is disparity in the nursing work-force of minority leaders. The aim of this article is to describe and evaluate an innovative program designed to provide mentorship and increase leadership skills of minority nursing students. METHOD An innovative mentorship program was developed including coordination of financial aid meetings, incorporating technology, enacting an online preimmersion course, choosing and training mentors, hosting a lunch-and-lead leadership series, and using intensive review sessions and tutoring. Program evaluation data were analyzed using mixed methods. RESULTS All 40 participants passed the NCLEX-RN and had obtained employment after the program. Of the 20 respondents, 25% already had obtained a leadership role in nursing. Qualitative data about the program revealed categories of leadership, networking, mentorship, more time, and gratitude. CONCLUSION This program was successful in promoting retention, graduation, and development of future minority nurse leaders. [J Nurs Educ. 2018;57(9):526-534. ].
Intrathecal delivery of a palmitoylated peptide targeting Y382-384 within the P2X7 receptor alleviates neuropathic pain

Pain hypersensitivity resulting from peripheral nerve injury depends on pathological microglial activation in the dorsal horn of the spinal cord. This microglial activity is critically modulated by P2X7 receptors (P2X7R) and ATP stimulation of these receptors produces mechanical allodynia, a defining feature of neuropathic pain. Peripheral nerve injury increases P2X7R expression and potentiates its cation channel function in spinal microglia. Here, we report a means to preferentially block the potentiation of P2X7R function by delivering a membrane permeant small interfering peptide that targets Y382-384, a putative tyrosine phosphorylation site within the P2X7R intracellular C-terminal domain. Intrathecal administration of this palmitoylated peptide (P2X7R379-389) transiently reversed mechanical allodynia caused by peripheral nerve injury in both male and female rats. Furthermore, targeting Y382-384 suppressed P2X7R-mediated release of cytokine tumor necrosis factor alpha and blocked the adoptive transfer of mechanical allodynia caused by intrathecal injection of P2X7R-stimulated microglia. Thus, Y382-384 site-specific modulation of P2X7R is an important microglial mechanism in neuropathic pain.
Comparative Study of Virtual Machines and Containers for DevOps Developers

In this work, we plan to develop a system to compare virtual machines with container technology. We would devise ways to measure the administrator effort of containers vs. Virtual Machines (VMs). Metrics that will be tested against include human efforts required, ease of migration, resource utilization and ease of use using containers and virtual machines.
Health facilities' readiness to provide friendly reproductive health services to young people aged 10-24 years in Wakiso district, Uganda.

Background While adolescents aged 10-19 years make up to 23.3% of Uganda's population, health facilities offering adolescent sexual and reproductive health services are few and do not fully address young people's needs. There is a paucity of evidence on the extent to which Ugandan health facilities in rural and peri-urban settings offer these services. This study assessed the readiness of health facilities to provide friendly reproductive health services to young people in rural and peri-urban contexts in Uganda. Methods The data for this paper come from a cross-sectional study that used quantitative and qualitative approaches to capture information. The study was conducted in 2012 in 32 health facilities in Wakiso district. It involved reviewing health facility records to assess client load for reproductive health services in the three months preceding data collection as well as key informant interviews with health managers and providers to identify gaps in service provision for young people. Quantitative data were entered into Epi-data and analysed using STATA10, while qualitative data were analysed using content analysis. Findings Among the 32 facilities visited; 41% (13/32) young people had to walk a distance of more than 5kms to access them, only one health centre had a separate space for providing services for adolescent clients and all facilities visited lacked a waiting room exclusive for young people. On the other hand, only 29% (9/32) and 22% (7/32) of the health facilities reported sufficient supplies and equipment respectively that are necessary for providing services that meet the needs of young people. Deliveries within the facilities were very low representing just 23% (1843/7975) of the number of young people who sought antenatal care services. Moreover 19% (6/32) of the facilities were not routinely screening for STIs yet in facilities where screening was being done, individuals younger than 15 years were being diagnosed with STIs. In addition, most facilities 86% (27/32) provided restricted family planning services to young people. No facility reported providing services responding to gender based violence while most facilities indicated verbal referrals for these services. Conclusion The findings of this paper suggest the need for training and equipping health care workers in order to improve the provision of reproductive health services to young people.
Memory Time Span in LSTMs for Multi-Speaker Source Separation

With deep learning approaches becoming state-of-the-art in many speech (as well as non-speech) related machine learning tasks, efforts are being taken to delve into the neural networks which are often considered as a black box. In this paper it is analyzed how recurrent neural network (RNNs) cope with temporal dependencies by determining the relevant memory time span in a long short-term memory (LSTM) cell. This is done by leaking the state variable with a controlled lifetime and evaluating the task performance. This technique can be used for any task to estimate the time span the LSTM exploits in that specific scenario. The focus in this paper is on the task of separating speakers from overlapping speech. We discern two effects: A long term effect, probably due to speaker characterization and a short term effect, probably exploiting phone-size formant tracks.
Impact of curcumin on sirtuins: A review

Curcumin is a bioactive phytochemical that modulates several physiological and cellular processes leading to therapeutic effects against different diseases. Sirtuins are highly conserved nicotine adenine dinucleotide‐dependent proteins that regulate the activity of target enzymes and transcription factors by deacetylation. Curcumin possesses both antioxidant and anti‐inflammatory properties and has been shown to increase sirtuin‐1 (SIRT1) by activating small molecules. Upregulation of SIRT1 by curcumin has been reported to confer protective effects against a range of neurological disorders including glutamate excitotoxicity, β‐amyloid‐induced cell death in cortical neurons, cerebral ischemic damage, and stroke. Activation of AMPK and SIRT1 by curcumin has also been noted to mediate the protective effects of curcumin against ischemia/reperfusion injury, cardiac fibrosis, diabetes, and lipid metabolism abnormalities. These protective effects of SIRT1 activation are partly mediated by the deacetylation of p53 and reduction of apoptosis. In this review, we summarize the role of SIRT1 in mediating the pharmacological effects of curcumin in several diseases.
Patterns and Correlates of Offender Versatility and Specialization Across a 23-Year Span for At-Risk Young Men

ABSTRACT The authors examined patterns and correlates of offender specialization versus versatility, or more random offenses, among 206 at-risk men. Both official records and self-report data of offending from late childhood to ages 31–32 years old were used. Aggregate- and individual-level analyses indicated that the predominant offender pattern for this sample was versatility. Three correlates of offender versatility were examined (offense frequency, early onset, gang association). Aggregate-level findings consistently revealed offense frequency as a robust correlate of offender versatility, whereas individual-level findings differed among the three measures of offender versatility. The congruence of these findings with predictions from Patterson’s (1982) coercion model is discussed.