Miracle-dz/UniFAR-FTUs huggingface dataset:
Global, Regional, and National Estimates of Rotavirus Mortality in Children <5 Years of Age, 2000-2013.

BACKGROUND Rotavirus vaccine is recommended for routine use in all countries globally. To facilitate decision making on rotavirus vaccine adoption by countries, help donors prioritize investments in health interventions, and monitor vaccine impact, we estimated rotavirus mortality for children <5 years of age from 2000 to 2013. METHODS We searched PubMed using the keyword "rotavirus" to identify studies that met each of the following criteria: data collection midpoint in year 1998 or later, study period of a 12-month increment, and detection of rotavirus infection by enzyme immunoassay in at least 100 children <5 years of age who were hospitalized with diarrhea and systematically enrolled through active surveillance. We also included data from countries that participated in the World Health Organization (WHO)-coordinated rotavirus surveillance network between 2008 and 2013 that met these criteria. To predict the proportion of diarrhea due to rotavirus, we constructed a multiple linear regression model. To determine the number of rotavirus deaths in children <5 years of age from 2000 to 2013, we multiplied annual, country-specific estimates of the proportion of diarrhea due to rotavirus from the regression model by the annual number of WHO-estimated child deaths caused by diarrhea in each country. RESULTS Globally, we estimated that the number of rotavirus deaths in children <5 years of age declined from 528 000 (range, 465 000-591 000) in 2000 to 215 000 (range, 197 000-233 000) in 2013. The predicted annual rotavirus detection rate from these studies declined slightly over time from 42.5% (95% confidence interval [CI], 37.4%-47.5%) in 2000 to 37.3% (95% CI, 34.2%-40.5%) in 2013 globally. In 2013, an estimated 47 100 rotavirus deaths occurred in India, 22% of all rotavirus deaths that occurred globally. Four countries (India, Nigeria, Pakistan, and Democratic Republic of Congo) accounted for approximately half (49%) of all estimated rotavirus deaths in 2013. DISCUSSION While rotavirus vaccine had been introduced in >60 countries worldwide by the end of 2013, the majority of countries using rotavirus vaccine during the review period were low-mortality countries and the impact of rotavirus vaccine on global estimates of rotavirus mortality has been limited. Continued monitoring of rotavirus mortality rates and deaths through rotavirus surveillance will aid in monitoring the impact of vaccination.
Airborne Conflict Management within Confined Airspace in a Piloted Simulation of DAG-TM Autonomous Aircraft Operations

A human-in-the-loop experiment was performed at the NASA Langley Research Center to study the feasibility of Distributed Air/Ground Traffic Management (DAG-TM) autonomous aircraft operations in highly constrained airspace. The airspace was constrained by a pair of special use airspace (SUA) regions on either side of the pilot s planned route. The available airspace was further varied by changing the separation standard for lateral separation between 3 nm and 5 nm. The pilot had to maneuver through the corridor between the SUA s, avoid other traffic and meet flow management constraints. Traffic flow management (TFM) constraints were imposed as a required time of arrival and crossing altitude at an en route fix. This is a follow-up study to work presented at the 4th USA/Europe Air Traffic Management R&D Seminar in December 2001. Nearly all of the pilots were able to meet their TFM constraints while maintaining adequate separation from other traffic. In only 3 out of 59 runs were the pilots unable to meet their required time of arrival. Two loss of separation cases are studied and it is found that the pilots need conflict prevention information presented in a clearer manner. No degradation of performance or safety was seen between the wide and narrow corridors. Although this was not a thorough study of the consequences of reducing the en route lateral separation, nothing was found that would refute the feasibility of reducing the separation requirement from 5 nm to 3 nm. The creation of additional, second-generation conflicts is also investigated. Two resolution methods were offered to the pilots: strategic and tactical. The strategic method is a closed-loop alteration to the Flight Management System (FMS) active route that considers other traffic as well as TFM constraints. The tactical resolutions are short-term resolutions that leave avoiding other traffic conflicts and meeting the TFM constraints to the pilot. Those that made use of the strategic tools avoided additional conflicts, whereas, those making tactical maneuvers often caused additional conflicts. Many of these second-generation conflicts could be avoided by improved conflict prevention tools that clearly present to the pilot which maneuver choices will result in a conflict-free path. These results, together with previously reported studies, continue to support the feasibility of autonomous aircraft operations.
Intelligent Code Completion with Bayesian Networks

Code completion is an integral part of modern Integrated Development Environments (IDEs). Developers often use it to explore Application Programming Interfaces (APIs). It is also useful to reduce the required amount of typing and to help avoid typos. Traditional code completion systems propose all type-correct methods to the developer. Such a list is often very long with many irrelevant items. More intelligent code completion systems have been proposed in prior work to reduce the list of proposed methods to relevant items. This work extends one of these existing approaches, the Best Matching Neighbor (BMN) algorithm. We introduce Bayesian networks as an alternative underlying model, use additional context information for more precise recommendations, and apply clustering techniques to improve model sizes. We compare our new approach, Pattern-based Bayesian Networks (PBN), to the existing BMN algorithm. We extend previously used evaluation methodologies and, in addition to prediction quality, we also evaluate model size and inference speed. Our results show that the additional context information we collect improves prediction quality, especially for queries that do not contain method calls. We also show that PBN can obtain comparable prediction quality to BMN, while model size and inference speed scale better with large input sizes.
The Strategic Importance of Customer Value

This paper examines the importance of customer value as a strategic approach to doing business in the 21 st century hypercompetitive marketplace and marketspace. It explores the customer value theory of Professor Art Weinstein as a valid conceptual framework for strategically positioning an organization through market orientation to design and deliver superior customer value for competitive advantage. Citing examples, the author argues that customers are not simply just buyers of goods and services, but must be seen as strategic business partners. Furthermore, the author examines the role that customer service and value creation play in the development of competitive advantage and market positions by examining the differences between market driving and market driven companies relative to the customer value concept and theory. Two important frameworks proposed by Weinstein are used to communicate the strategic importance of customer value: the CVF and the SQIP models.
Plerixafor as preemptive strategy results in high success rates in autologous stem cell mobilization failure

Plerixafor in combination with granulocyte‐colony stimulating factor (G‐CSF) is approved for autologous stem cell mobilization in poor mobilizing patients with multiple myeloma or malignant lymphoma. The purpose of this study was to evaluate efficacy and safety of plerixafor in an immediate rescue approach, administrated subsequently to G‐CSF alone or chemotherapy and G‐CSF in patients at risk for mobilization failure. Eighty‐five patients mobilized with G‐CSF alone or chemotherapy were included. Primary endpoint was the efficacy of the immediate rescue approach of plerixafor to achieve ≥2.0 × 106 CD34+ cells/kg for a single or ≥5 × 106 CD34+ cells/kg for a double transplantation and potential differences between G‐CSF and chemotherapy‐based mobilization. Secondary objectives included comparison of stem cell graft composition including CD34+ cell and lymphocyte subsets with regard to the mobilization regimen applied. No significant adverse events were recorded. A median 3.9‐fold increase in CD34+ cells following plerixafor was observed, resulting in 97% patients achieving at least ≥2 × 106 CD34+ cells/kg. Significantly more differentiated granulocyte and monocyte forming myeloid progenitors were collected after chemomobilization whereas more CD19+ and natural killer cells were collected after G‐CSF. Fifty‐two patients underwent transplantation showing rapid and durable engraftment, irrespectively of the stem cell mobilization regimen used. The addition of plerixafor in an immediate rescue model is efficient and safe after both, G‐CSF and chemomobilization and results in extremely high success rates. Whether the differences in graft composition have a clinical impact on engraftment kinetics, immunologic recovery, and graft durability have to be analysed in larger prospective studies.
Management of Acute Alcohol Withdrawal Syndrome in Critically Ill Patients

Approximately 16–31% of patients in the intensive care unit (ICU) have an alcohol use disorder and are at risk for developing alcohol withdrawal syndrome (AWS). Patients admitted to the ICU with AWS have an increased hospital and ICU length of stay, longer duration of mechanical ventilation, higher costs, and increased mortality compared with those admitted without an alcohol‐related disorder. Despite the high prevalence of AWS among ICU patients, no guidelines for the recognition or management of AWS or delirium tremens in the critically ill currently exist, leading to tremendous variability in clinical practice. Goals of care should include immediate management of dehydration, nutritional deficits, and electrolyte derangements; relief of withdrawal symptoms; prevention of progression of symptoms; and treatment of comorbid illnesses. Symptom‐triggered treatment of AWS with γ‐aminobutyric acid receptor agonists is the cornerstone of therapy. Benzodiazepines (BZDs) are most studied and are often the preferred first‐line agents due to their efficacy and safety profile. However, controversy still exists as to who should receive treatment, how to administer BZDs, and which BZD to use. Although most patients with AWS respond to usual doses of BZDs, ICU clinicians are challenged with managing BZD‐resistant patients. Recent literature has shown that using an early multimodal approach to managing BZD‐resistant patients appears beneficial in rapidly improving symptoms. This review highlights the results of recent promising studies published between 2011 and 2015 evaluating adjunctive therapies for BZD‐resistant alcohol withdrawal such as antiepileptics, baclofen, dexmedetomidine, ethanol, ketamine, phenobarbital, propofol, and ketamine. We provide guidance on the places in therapy for select agents for management of critically ill patients in the presence of AWS.
Multiple Legionella pneumophila effector virulence phenotypes revealed through high-throughput analysis of targeted mutant libraries

Significance The contribution of individual effectors to Legionella pneumophila virulence has not been systematically examined. This study employed a parallel high-throughput transposon insertion sequencing technique called INSeq to probe the L. pneumophila effector repertoire and identified multiple effectors that contribute to virulence in several host organisms, including an animal model of Legionnaires’ disease. Importantly, this study demonstrates that effector proteins contribute to host virulence both positively and negatively by controlling intracellular replication and influencing host immune responses, which demonstrates that the subtle alterations in the effector repertoire of a single L. pneumophila strain can greatly impact host pathogenicity. Legionella pneumophila is the causative agent of a severe pneumonia called Legionnaires’ disease. A single strain of L. pneumophila encodes a repertoire of over 300 different effector proteins that are delivered into host cells by the Dot/Icm type IV secretion system during infection. The large number of L. pneumophila effectors has been a limiting factor in assessing the importance of individual effectors for virulence. Here, a transposon insertion sequencing technology called INSeq was used to analyze replication of a pool of effector mutants in parallel both in a mouse model of infection and in cultured host cells. Loss-of-function mutations in genes encoding effector proteins resulted in host-specific or broad virulence phenotypes. Screen results were validated for several effector mutants displaying different virulence phenotypes using genetic complementation studies and infection assays. Specifically, loss-of-function mutations in the gene encoding LegC4 resulted in enhanced L. pneumophila in the lungs of infected mice but not within cultured host cells, which indicates LegC4 augments bacterial clearance by the host immune system. The effector proteins RavY and Lpg2505 were important for efficient replication within both mammalian and protozoan hosts. Further analysis of Lpg2505 revealed that this protein functions as a metaeffector that counteracts host cytotoxicity displayed by the effector protein SidI. Thus, this study identified a large cohort of effectors that contribute to L. pneumophila virulence positively or negatively and has demonstrated regulation of effector protein activities by cognate metaeffectors as being critical for host pathogenesis.
Bayesian Hierarchical Random Effects Models in Forensic Science

Statistical modeling of the evaluation of evidence with the use of the likelihood ratio has a long history. It dates from the Dreyfus case at the end of the nineteenth century through the work at Bletchley Park in the Second World War to the present day. The development received a significant boost in 1977 with a seminal work by Dennis Lindley which introduced a Bayesian hierarchical random effects model for the evaluation of evidence with an example of refractive index measurements on fragments of glass. Many models have been developed since then. The methods have now been sufficiently well-developed and have become so widespread that it is timely to try and provide a software package to assist in their implementation. With that in mind, a project (SAILR: Software for the Analysis and Implementation of Likelihood Ratios) was funded by the European Network of Forensic Science Institutes through their Monopoly programme to develop a software package for use by forensic scientists world-wide that would assist in the statistical analysis and implementation of the approach based on likelihood ratios. It is the purpose of this document to provide a short review of a small part of this history. The review also provides a background, or landscape, for the development of some of the models within the SAILR package and references to SAILR as made as appropriate.
Germinal center antibody mutation trajectories are determined by rapid self/foreign discrimination

Autoantibody redemption through rapid mutations Antibodies distinguish foreign epitopes from closely related self-antigens by poorly understood mechanisms. In mice, Burnett et al. found that a proportion of B cells could cross-react with similar foreign and self-antigens (see the Perspective by Kara and Nussenzweig). Challenge with self-antigen resulted in anergy (i.e., a lack of immune response), which was reversed by exposure to high-density foreign antigen. Mutations that decreased self-affinity were rapidly selected for, whereas selection for epistatic mutations that enhanced foreign reactivity took longer. Self-reactivity, rather than being an impediment to immunization, resulted in higher affinities against a foreign immunogen. Science, this issue p. 223; see also p. 152 The rapid mutations of autoantibodies target foreign-antigen look-alikes. Antibodies have the specificity to differentiate foreign antigens that mimic self antigens, but it remains unclear how such specificity is acquired. In a mouse model, we generated B cells displaying an antibody that cross-reacts with two related protein antigens expressed on self versus foreign cells. B cell anergy was imposed by self antigen but reversed upon challenge with high-density foreign antigen, leading to germinal center recruitment and antibody gene hypermutation. Single-cell analysis detected rapid selection for mutations that decrease self affinity and slower selection for epistatic mutations that specifically increase foreign affinity. Crystal structures revealed that these mutations exploited subtle topological differences to achieve 5000-fold preferential binding to foreign over self epitopes. Resolution of antigenic mimicry drove the optimal affinity maturation trajectory, highlighting the value of retaining self-reactive clones as substrates for protective antibody responses.
A D-band SPDT switch utilizing reverse-saturated SiGe HBTs for dicke-radiometers

This paper presents a low insertion loss and high isolation D-band (110–170 GHz) single-pole double-throw (SPDT) switch utilizing reverse-saturated SiGe HBTs for Dickeradiometers. The SPDT switch design is based on the quarter-wave shunt switch topology and implemented with further optimizations to improve the overall insertion loss and decrease the total chip size in a commercial 0.13-µm SiGe BiCMOS technology. Measurement results of the implemented SPDT switch show a minimum insertion loss of 2.6 dB at 125 GHz and a maximum isolation of 30 dB at 151 GHz while the measured input and output return loss is greater than 10 dB across 110–170 GHz. Total power consumption of the SPDT switch is 5.3 mW while draining 5.6 mA from a 0.95 V DC supply. Overall chip size is only 0.5×0.32 = 0.16 mm2, excluding the RF and DC pads.
Twelve-month prevalence and treatment gap for common mental disorders: Findings from a large-scale epidemiological survey in India

Background: Common mental disorders, such as mood, anxiety, and substance use disorders, are significant contributors to disability globally, including India. Available research is, however, limited by methodological issues and heterogeneities. Aim: The present paper focuses on the 12-month prevalence and 12-month treatment for anxiety, mood, and substance use disorders in India. Materials and Methods: As part of the World Health Organization World Mental Health (WMH) Survey Initiative, in India, the study was conducted at eleven sites. However, the current study focuses on the household sample of 24,371 adults (≥18 years) of eight districts of different states, covering rural and urban areas. Respondents were interviewed face-to-face using the WMH Composite International Diagnostic Interview after translation and country-specific adaptations. Diagnoses were generated as per the International Classification of Diseases, 10th edition, Diagnostic Criteria for Research. Results: Nearly 49.3% of the sample included males. The 12-month prevalence of common mental disorders was 5.52% - anxiety disorders (3.41%), mood disorders (1.44%), and substance use disorders (1.18%). Females had a relatively higher prevalence of anxiety and mood disorders, and lower prevalence of substance use disorders than males. The 12-month treatment for people with common mental disorders was 5.09% (range 1.66%–11.55% for individual disorders). The survey revealed a huge treatment gap of 95%, with only 5 out of 100 individuals with common mental disorders receiving any treatment over the past year. Conclusion: The survey provides valuable data to understand the mental health needs and treatment gaps in the Indian population. Despite the 12-month prevalence study being restricted to selected mental disorders, these estimates are likely to be conservative due to under-reporting or inadequate detection due to cultural factors.
Organophosphorus flame retardants (PFRs) and phthalates in floor and road dust from a manual e-waste dismantling facility and adjacent communities in Thailand

ABSTRACT This study was undertaken to investigate levels of organophosphorus flame retardants (PFRs) and phthalates in floor and road dust from a manual e-waste dismantling facility and nearby communities in Thailand. Concentrations of Σ10 PFRs and Σ6 phthalates in floor dust from the facility were approximately 36–1,700 and 86,000–790,000 ng g−1, whereas those from the communities were about 13–9,200 and 44,000–2,700,000 ng g−1, respectively. The highest content of Σ10 PFRs (9,200 ng g−1) and Σ6 phthalates (2,700,000 ng g−1) in indoor dust was both detected in the dust sampled from a house with no prevailing winds located 350 m northeast of the facility. Levels of Σ10 PFRs and Σ6 phthalates in road dust from the facility were around 1,100–2,100 and 40,000–670,000 ng g−1, while those from the residences were about 650–2,000 and 27,000–650,000 ng g−1, respectively. Concentrations of Σ10 PFRs (2,100 ng g−1) and Σ6 phthalates (670,000 ng g−1) in road dust were greatest in the dust collected from the facility. For the distributional pattern, TBEP (tris (2-butoxyethyl) phosphate) was the main PFR in residential dust, whereas TPP (triphenyl phosphate) was the major PFR in facility dust. TBEP was also found to be the most prominent PFR in all road dust samples. Furthermore, DEHP (di-2-ethylhexyl phthalate) was the most abundant phthalate congener in both floor and road dust samples. Under realistic high-end scenarios of environmental exposure to DEHP, Thai toddlers (25.29 µg kg−1 bw day−1) in the adjacent communities were exposed above the US EPA's (United States Environmental Protection Agency) reference dose (RfD) for this congener (20 µg kg−1 bw day−1). Our data reveal that the PFR and phthalate-containing products at the residences are a likely substantial source of PFRs and phthalates to the surrounding indoor environment, and humans can be exposed to PFRs and phthalates in their dwellings via the settled floor dust.
Screening for antiradical efficiency of 21 semi-synthetic derivatives of quercetin in a DPPH assay

Abstract The group of 21 novel semi-synthetic derivatives of quercetin was screened for the antiradical efficiency in a DPPH assay. The initial fast absorbance decrease of DPPH, corresponding to the transfer of the most labile H atoms, was followed by a much slower absorbance decline representing the residual antiradical activity of the antioxidant degradation products. Initial velocity of DPPH decolorization determined for the first 75-s interval was used as a marker of the antiradical activity. Application of the kinetic parameter allowed good discrimination between the polyphenolic compounds studied. The most efficient chloronaphthoquinone derivative (compound Ia) was characterized by antiradical activity higher than that of quercetin and comparable with that of trolox. Under the experimental conditions used, one molecule of Ia was found to quench 2.6±0.1 DPPH radicals.