Miracle-dz/UniFAR-FTUs huggingface dataset:
Elucidating the Relationship Between Maternal Diabetes and Neonatal Abstinence Syndrome

Background: Previous research indicated that diabetes during pregnancy results in a more permeable placenta. Based on this data, we hypothesized that women with maternal diabetes were more likely to have infants who developed neonatal abstinence syndrome (NAS). Purpose: The purpose of the study was to examine the association between maternal diabetes and NAS in a cohort of women reporting substance use during pregnancy. Methods: This study used data from a population-based cohort of all newborns born in 2017 and 2018 (N = 36,974) in the state of West Virginia and restricted the analysis to those infants with intrauterine substance exposure (14%, n = 5188). Multiple logistic regression was performed to analyze the adjusted relationship between maternal diabetes and NAS while controlling for maternal and infant covariates. Results: Just over 28% of women with diabetes had an infant who developed NAS, whereas 34.8% of women without diabetes had an infant who developed NAS. The adjusted odds ratio of infants developing NAS born to women with diabetes was 0.70 (95% confidence interval: 0.51, 0.94) compared with those born to mothers without diabetes after controlling for covariates. Contrary to our hypothesis, the study suggests that maternal diabetes during pregnancy is associated with a decreased risk of an infant developing NAS. Implications for Practice: Future research generating from this hypothesis may lead to potential implications for practice for infants born to mothers with substance use during pregnancy and diabetes. Implications for Research: More research should be conducted to investigate the relationship between glucose metabolism and NAS.
Community evolution on Stack Overflow

Question and answer (Q&A) websites are a medium where people can communicate and help each other. Stack Overflow is one of the most popular Q&A websites about programming, where millions of developers seek help or provide valuable assistance. Activity on the Stack Overflow website is moderated by the user community, utilizing a voting system to promote high quality content. The website was created on 2008 and has accumulated a large amount of crowd wisdom about the software development industry. Here we analyse this data to examine trends in the grouping of technologies and their users into different sub-communities. In our work we analysed all questions, answers, votes and tags from Stack Overflow between 2008 and 2020. We generated a series of user-technology interaction graphs and applied community detection algorithms to identify the biggest user communities for each year, to examine which technologies those communities incorporate, how they are interconnected and how they evolve through time. The biggest and most persistent communities were related to web development. In general, there is little movement between communities; users tend to either stay within the same community or not acquire any score at all. Community evolution reveals the popularity of different programming languages and frameworks on Stack Overflow over time. These findings give insight into the user community on Stack Overflow and reveal long-term trends on the software development industry.
Support for using a three‐dimensional anatomy application over anatomical atlases in a randomized comparison

To investigate to what extent the use of a three‐dimensional (3D) anatomy computer application can improve the acquisition of anatomical knowledge compared with anatomical atlases, junior and advanced medical students participated in an experiment. Participants were asked to answer anatomical questions with the use of a 3D anatomy application (developed at the University Medical Center in Utrecht, the Netherlands) or anatomy atlases. Every student had to complete two assignments, either with an atlas or with the 3D anatomy application. One assignment consisted of 20 questions about the anatomy of the hand, the other one had 20 questions about the anatomy of the foot. The scores on the assignments and time to complete the assignments were registered and investigated. A total of 76 students participated. Students scored significantly higher and were significantly faster when they used the 3D anatomy application. Junior medical students were significantly faster than advanced medical students and particularly, advanced students who worked with an atlas needed most time. These results suggest that the 3D anatomy application is more effective as a studying tool, when compared to the use of paper atlases, for both junior and advanced medical students. The difference in time could indicate an influence of the increased number of mental steps it takes to convert two‐dimensional atlas images to a 3D mental representation compared to using the 3D anatomy application, although practical issues explaining this cannot be ruled out. Future studies should establish whether the application leads to better learning/retention and to more time‐efficient studying.
Estimating the risk of pandemic avian influenza

Outbreaks of highly pathogenic strains of avian influenza (HPAI) cause high mortality in avian populations worldwide. When spread from avian reservoirs to humans, HPAI infections cause mortality in about 50% of human infections. Cases of human-to-human transmission of HPAI are relatively rare, and have, to date, only been reported in situations of close contact. These transmissions have resulted in isolated clusters of human HPAI infections, but have not yet caused a pandemic. Given the large number of human H5N1 HPAI infections to date, none of which has resulted in a pandemic, we estimate an upper bound on the probability of H5N1 pandemic emergence. We use this estimate to provide the likelihood of observing such a pandemic over the next decade. We then develop a more accurate parameter-based estimate of the emergence probability and predict the likelihood that, through rare mutations, an H5N1 influenza pandemic will emerge over the same time span.
Exploring Lifestyle Activities to Reduce Internalized Ageism: Self-Efficacy as a Mediator Between Exercise, Volunteering, Computer Use, and Self-Perceptions of Aging

The objective of this study is to test self-efficacy as a mediator in the relationship between three lifestyle activities (exercise, volunteering, and computer use) and self-perceptions of aging (SPA) among older adults. We hypothesize that increased self-efficacy will mediate the relationship between lifestyle activities and more positive SPA. This is a cross-sectional, secondary data analysis drawn from the 2016 wave of the Health and Retirement Study (HRS; n = 4,561). Bootstrapping procedures were applied to test the significance of the indirect effects of self-efficacy in the relationship between lifestyle activities and SPA. Results indicate significant direct effects between exercise, computer use, and self-efficacy. Direct effects were observed between exercise, volunteering, computer use, and SPA. Self-efficacy partially mediated the relationship between exercise, volunteering, computer use, and SPA. Implications for practitioners working with older adults are discussed. Future research should test formal intervention programs aimed at reducing internalized ageism through additional pathways.
Economic evaluation of point-of-care testing and treatment for sexually transmitted and genital infections in pregnancy in low- and middle-income countries: A systematic review

Background Sexually transmitted and genital infections in pregnancy are associated with adverse pregnancy and birth outcomes. Point-of-care tests for these infections facilitate testing and treatment in a single antenatal clinic visit and may reduce the risk of adverse outcomes. Successful implementation and scale-up depends on understanding comparative effectiveness of such programmes and their comparative costs and cost effectiveness. This systematic review synthesises and appraises evidence from economic evaluations of point-of-care testing and treatment for sexually transmitted and genital infections among pregnant women in low- and middle-income countries. Methods Medline, Embase and Web of Science databases were comprehensively searched using pre-determined criteria. Additional literature was identified by searching Google Scholar and the bibliographies of all included studies. Economic evaluations were eligible if they were set in low- and middle-income countries and assessed antenatal point-of-care testing and treatment for syphilis, chlamydia, gonorrhoea, trichomoniasis, and/or bacterial vaginosis. Studies were analysed using narrative synthesis. Methodological and reporting standards were assessed using two published checklists. Results Sixteen economic evaluations were included in this review; ten based in Africa, three in Latin and South America and three were cross-continent comparisons. Fifteen studies assessed point-of-care testing and treatment for syphilis, while one evaluated chlamydia. Key drivers of cost and cost-effectiveness included disease prevalence; test, treatment, and staff costs; test sensitivity and specificity; and screening and treatment coverage. All studies met 75% or more of the criteria of the Drummond Checklist and 60% of the Consolidated Health Economics Evaluation Reporting Standards. Conclusions Generally, point-of-care testing and treatment was cost-effective compared to no screening, syndromic management, and laboratory-based testing. Future economic evaluations should consider other common infections, and their lifetime impact on mothers and babies. Complementary affordability and equity analyses would strengthen the case for greater investment in antenatal point-of-care testing and treatment for sexually transmitted and genital infections.
Nilotinib‐induced bone marrow CD34+/lin‐Ph+ cells early clearance in newly diagnosed CP‐Chronic Myeloid Leukemia: Final report of the PhilosoPhi34 study

Chronic Myeloid Leukemia is a clonal disorder characterized by the presence of the Ph‐chromosome and the BCR‐ABL tyrosine‐kinase (TK). Target‐therapy with Imatinib has greatly improved its outcome. Deeper and faster responses are reported with the second‐generation TKI Nilotinib. Sustained responses may enable TKI discontinuation. However, even in a complete molecular response, some patients experience disease recurrence possibly due to persistence of quiescent leukemic CD34+/lin−Ph+ stem cells (LSCs). Degree and mechanisms of LSCs clearance during TKI treatment are not clearly established. The PhilosoPhi34 study was designed to verify the in‐vivo activity and timecourse of first‐line Nilotinib therapy on BM CD34+/lin−Ph+ cells clearance. Eighty‐seven CP‐CML patients were enrolled. BM cells were collected and tested for Ph+ residual cells, at diagnosis, 3, 6 and 12 months of treatment. FISH analysis of unstimulated CD34+/lin− cells in CCyR patients were positive in 8/65 (12.3%), 5/71 (7%), 0/69 (0%) evaluable tests, respectively. Per‐Protocol analysis response rates were as follows: CCyR 95% at 12 months, MR4.5 31% and 46% at 12 and 36 months, respectively. An exploratory Gene Expression Profiling (GEP) study of CD34+/lin− cells was performed on 30 patients at diagnosis and after, on 79 patients at diagnosis vs 12 months of nilotinib treatment vs 10 healthy subjects. Data demonstrated some genes significantly different expressed: NFKBIA, many cell cycle genes, ABC transporters, JAK‐STAT signaling pathway (JAK2). In addition, a correlation between different expression of some genes (JAK2, OLFM4, ICAM1, NFKBIA) among patients at diagnosis and their achievement of an early and deeper MR was observed.
Toxicological assessment of CeO2 nanoparticles on early development of zebrafish.

Nanomaterials involve an active research and a booming area including different fields (health, environment, electronics, manufacturing, drug delivery). Recently, new concerns are emerging about the risk from increased production and subsequent release into the environment, as they are largely present in consumer products and industrial applications. Our aim was to assess the effects of three different types of cerium oxide nanoparticles (CeO2 NPs) (type 1 defined "as prepared"; type 2 defined "modified"; type 3 defined "commercial") on zebrafish embryos by Fish Embryo Toxicity test (Z-FET). Immunohistochemical analysis was also performed on treated larvae to evaluate the expression of the following biomarkers: Metallothionein, Heat Shock Protein 70 (HSP70) and 7-Ethoxyresorufin-O-Dietylase (EROD). After 96 h of exposure, there was no lethality, nor were there sub-lethal effects in embryonic development, when compared with the control. No particular positivity was found about Metallothionein and HSP70 expression, while an increased expression of EROD was observed in larvae exposed to the three types of CeO2 NPs compared with the controls. The analyze has confirmed a statistically significant difference (P < 0.001) to EROD biomarker between control group and treated larvae response, finding was higher at 1-mg/l concentration. Further investigations in order to solve conflicting views about potential effects of CeO2 NPs are necessary, also to evaluate its effectiveness in different fields as already reported in literature.
Shifting epigenetic contexts influence regulatory variation and disease risk

Epigenetic shifts are a hallmark of aging that impact transcriptional networks at regulatory level. These shifts may modify the effects of genetic regulatory variants during aging and contribute to disease pathomechanism. However, these shifts occur on the backdrop of epigenetic changes experienced throughout an individual’s development into adulthood; thus, the phenotypic, and ultimately fitness, effects of regulatory variants subject to developmental- versus aging-related epigenetic shifts may differ considerably. Natural selection therefore may act differently on variants depending on their changing epigenetic context, which we propose as a novel lens through which to consider regulatory sequence evolution and phenotypic effects. Here, we define genomic regions subjected to altered chromatin accessibility as tissues transition from their fetal to adult forms, and subsequently from early to late adulthood. Based on these epigenomic datasets, we examine patterns of evolutionary constraint and potential functional impacts of sequence variation (e.g., genetic disease risk associations). We find that while the signals observed with developmental epigenetic changes are consistent with stronger fitness consequences (i.e., negative selection pressures), they tend to have weaker effects on genetic risk associations for aging-related diseases. Conversely, we see stronger effects of variants with increased local accessibility in adult tissues, strongest in young adult when compared to old. We propose a model for how epigenetic status of a region may influence the effects of evolutionary relevant sequence variation, and suggest that such a perspective on gene regulatory networks may elucidate our understanding of aging biology.
Enhancement of oral bioavailability of quercetin by metabolic inhibitory nanosuspensions compared to conventional nanosuspensions

Abstract Quercetin-loaded nanosuspensions (Que-NSps) added metabolic inhibitors were evaluated as drug delivery system to promote the oral bioavailability of quercetin. Que-NSps were prepared respectively using d-alpha tocopherol acid polyethylene glycol succinate (TPGS) or Soybean Lecithin (SPC) as stabilizer. On the basis, Piperine (Pip) or sodium oleate (SO) was, respectively, encapsulated in Que-NSps as phase II metabolic inhibitors. The resulting Que-NSps all displayed a mean particle size of about 200 nm and drug loading content was in the range of 22.3–27.8%. The release of quercetin from Que-NSps was slow and sustained. After oral administration of 50 mg/kg different Que-NSps, the levels of free quercetin in plasma were significantly promoted, the concentration of quercetin metabolites (isorhamnetin and quercetin 3-O-β-d-Glucuronide) were decreased. The absolute bioavailability was, respectively 15.55%, 6.93%, 12.38%, and 23.58% for TPGS-Que-NSps, TPGS-SO-Que-NSps, SPC-Que-NSps, and SPC-Pip-Que-NSps, and 3.61% for quercetin water suspension. SPC-Pip-Que-NSps turned out to an ideal nanocarrier combined nano drug delivery system together with metabolic inhibitor to promote oral absorption of quercetin.
Robust, Long‐Term, and Exceptionally Sensitive Microneedle‐Based Bioimpedance Sensor for Precision Farming

Precision farming has the potential to increase global food production capacity whilst minimizing traditional inputs. However, the adoption and impact of precision farming are contingent on the availability of sensors that can discern the state of crops, while not interfering with their growth. Electrical impedance spectroscopy offers an avenue for nondestructive monitoring of crops. To that end, it is reported on the deployment of impedimetric sensors utilizing microneedles (MNs) that can be used to pierce the waxy exterior of plants to obtain sensitive impedance spectra in open‐air settings with an average relative noise value of 3.83%. The sensors are fabricated using a novel micromolding and release method that is compatible with UV photocurable and thermosetting polymers. Assessments of the quality of the MNs under scanning electron microscopy show that the replication process is high in fidelity to the original design of the master mold and that it can be used for upward of 20 replication cycles. The sensor's performance is validated against conventional planar sensors for obtaining the impedance values of Arabidopsis thaliana. As a change is detected in impedance due to lighting and hydration, this raises the possibility for their widespread use in precision farming.
Agile Cooperation between Communication Agencies and Companies

ABSTRACT Communications agencies and communications departments of companies are mutually dependent. The agencies need companies as clients, while the companies need agencies primarily for their expertise and resources. However, cooperation between communications agencies and client companies is often fraught with fundamental problems, in particular due to cost issues and differing expectations on each side. This study shows that implementing agility is an effective approach for meeting these challenges and those of the rapidly changing, volatile environment in which both operate, for a successful client-agency cooperation. Due to their experience with many different companies as clients, based experts from public relations and advertising agencies were interviewed on the subject of agility. From the interview results, it becomes clear that a consistently implemented agility, with characteristics such as a flat working structure, iterative processes with many evaluations, and innovative collaboration tools, is beneficial for an effective client-agency relationship in an uncertain and volatile environment, especially in the field of online communication. In addition, agility may help to counter the typical client-agency problems of hidden information, hidden action and hidden intention. The results lead us to a model for the ideal-typical agile cooperation between agencies and communications departments of companies.
WasmAndroid: a cross-platform runtime for native programming languages on Android (WIP paper)

Open-source hardware such as RISC-V has been gaining substantial momentum. Recently, they have begun to embrace Google's Android operating system to leverage its software ecosystem. Despite the encouraging progress, a challenging issue arises: a majority of Android applications are written in native languages and need to be recompiled to target new hardware platforms. Unfortunately, this recompilation process is not scalable because of the explosion of new hardware platforms. To address this issue, we present WasmAndroid, a high-performance cross-platform runtime for native programming languages on Android. WasmAndroid only requires developers to compile their source code to WebAssembly, an efficient and portable bytecode format that can be executed everywhere without additional reconfiguration. WasmAndroid can also trans-pile existing application binaries to WebAssembly when source code is not available. WebAssembly's language model is very different from C/C++ and this mismatch leads to many unique implementation challenges. In this paper, we provide workable solutions and conduct a preliminary system evaluation. We show that WasmAndroid provides acceptable performance to execute native applications in a cross-platform manner.
MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework

Hardware performance monitoring units (PMUs) are a standard feature in modern microprocessors for high-performance computing (HPC) and embedded systems, by providing a rich set of microarchitectural event samplers. Recently, many profile-guided optimization (PGO) frameworks have exploited them to feature much lower profiling overhead than conventional instrumentation-based frameworks. However, existing PGO frameworks mostly focus on optimizing the layout of binaries and do not utilize rich information provided by the PMU about data access behaviors over the memory hierarchy. Thus, we propose MaPHeA, a lightweight Memory hierarchy-aware Profile-guided Heap Allocation framework applicable to both HPC and embedded systems. MaPHeA improves application performance by guiding and applying the optimized allocation of dynamically allocated heap objects with very low profiling overhead and without additional user intervention. To demonstrate the effectiveness of MaPHeA, we apply it to optimizing heap object allocation in an emerging DRAM-NVM heterogeneous memory system (HMS), and to selective huge-page utilization. In an HMS, by identifying and placing frequently accessed heap objects to the fast DRAM region, MaPHeA improves the performance of memory-intensive graph-processing and Redis workloads by 56.0% on average over the default configuration that uses DRAM as a hardware-managed cache of slow NVM. Also, by identifying large heap objects that cause frequent TLB misses and allocating them to huge pages, MaPHeA increases the performance of read and update operations of Redis by 10.6% over the transparent huge-page implementation of Linux.
Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB

We discuss the design, effectiveness, and curricular impacts of an introductory data science course that uniquely meets a number of competing constraints. Student needs range from an initial exploration for future data scientists to the only computing course for some science students. Initially, associated research labs, departments, and industries provided differing perspectives on skills and preferred programming languages. The focus was on practical programming skills and learning through demos to develop useful skills quickly. The task-driven nature also enabled the mutual development of resources for each of the top three requested languages, Python, R, and MATLAB, allowing students to concurrently complete the course in any of the three languages. Tutorials in all three languages were produced to prepare students for the language-independent task-driven assignments given each day. For consistency all tutorials and assignments use the Jupyter notebook cell-based workflow. Feedback and performance measures of three student cohorts (Spring 2018, Fall 2018, and Spring 2019) are analyzed. Feedback included an average rating that met or exceeded 4 ("substantial progress") out of 5 for each separate cohort on all four general educational objectives (Basic Understanding, Developing Skills, Application, and Numeric Methods). 75% of responding students indicated a preference for the multi-language course design. The course also attracted a majority of women every semester (63% female, average). Because of these benefits, this course became the recommended first programming course for a newly developed and approved undergraduate data science major. All material is online and available at https://sites.google. com/view/comp-180