Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Asymmetrical Relationship Between the Power of Finance Bias and Evidence

abstract:Financial conflicts of interest can influence the design, conduct, and dissemination of medical trials. In attempting to resist “finance bias,” critics and proponents of evidence-based medicine (EBM) and its precursors have largely focused on trying to improve evidence. These efforts have led to successes ranging from the 1962 Kefauver-Harris amendments to the US Federal Drug and Cosmetic Act of 1938 to recent recommendations that all trials be published. However, there are two problems with the strategy of trying to improve evidence as a buffer against finance bias. First, without political teeth, rules of evidence can be ignored with relative impunity. This is because, as sociologist Bent Flyvbjerg has pointed out, there is an asymmetry between power (of finance bias) and rationality (evidence), tending towards victory of power in an open confrontation. Second, by improving the way evidence is produced, the process has become more expensive, and thus more susceptible to influence by finance bias. Unless they address the powers behind finance bias directly, critics and proponents may be doomed to lose the war against finance bias, even if they win some battles. For EBM to be effective, the power of finance bias influencing the production and dissemination of evidence needs to be addressed as a priority. This is starting to happen, with initiatives such as the AllTrials campaign, which identifies and exposes unpublished trials. On the other hand, there are reasons to be less optimistic, as Cochrane, the most trusted source of evidence, has become more susceptible to stronger influences from industry.
Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing

Mobile and ubiquitous sensing of urban air quality (AQ) has received increased attention as an economically and operationally viable means to survey atmospheric environment with high spatial-temporal resolution. A necessary and value-added step towards data-driven sustainable urban management is fine-granular AQ inference, which estimates grid-level pollutant concentrations at every instance of time using AQ data collected from fixed-location and mobile sensors. We present the Mobile Air Pollution Sensing (MAPS) framework, which consists of data preprocessing, urban feature extraction, and AQ inference. This is applied to a case study in Beijing (3,025 square km, 19 June - 16 July 2018), where PM2.5 concentrations measured by 28 fixed monitoring stations and 15 vehicles are fused to infer hourly PM2.5 concentrations in 3,025 1km-by-1km grids. Two machine learning structures, namely Deep Feature Spatial-Temporal Tree (DFeaST-Tree) and Deep Feature Spatial-Temporal Network (DFeaST-Net), are proposed to infer PM2.5 concentrations supported by 62 types of urban data that encompass geography, land use, traffic, public, and meteorology. This allows us to infer fine-granular PM2.5 concentrations based on sparse AQ measurements (less than 5% coverage) with good accuracy (SMAPE 0.9), while accounting for the regional transport of air pollutants outside the study area. In-depth discussions are provided on the heterogeneity of fixed and mobile data sources, spatial coverage of mobile sensing, and importance of urban features for inferring PM2.5 concentrations.
Born for fairness: evidence of genetic contribution to a neural basis of fairness intuition

Abstract Human beings often curb self-interest to develop and enforce social norms, such as fairness, as exemplified in the ultimatum game (UG). Inspired by the dual-system account for the responder’s choice during the UG, we investigated whether the neural basis of psychological process induced by fairness is under genetic control using a twin fMRI study (62 monozygotic, 48 dizygotic; mean age: 19.32 ± 1.38 years). We found a moderate genetic contribution to the rejection rate of unfair proposals (24%–35%), independent of stake size or proposer type, during the UG. Using a voxel-level analysis, we found that genetic factors moderately contributed to unfairness-evoked activation in the bilateral anterior insula (AI), regions representing the intuition of fairness norm violations (mean heritability: left 37%, right 40%). No genetic contributions were found in regions related to deliberate, controlled processes in the UG. This study provides the first evidence that evoked brain activity by unfairness in the bilateral AI is influenced by genes and sheds light on the genetic basis of brain processes underlying costly punishment.
Dynamics of detonations with a constant mean flow divergence

An exponential horn geometry is introduced in order to establish cellular detonations with a constant mean lateral mass divergence, propagating at quasi-steady speeds below the Chapman–Jouguet value. The experiments were conducted in $2\text{C}_{2}\text{H}_{2}+5\text{O}_{2}+21\text{Ar}$ and $\text{C}_{3}\text{H}_{8}+5\text{O}_{2}$ . Numerical simulations were also performed for weakly unstable cellular detonations to test the validity of the exponential horn geometry. The experiments and simulations demonstrated that such quasi-steady state detonations can be realized, hence permitting us to obtain the relations between the detonation speed and mean lateral flow divergence for cellular detonations in an unambiguous manner. The experimentally obtained speed ( $D$ ) dependencies on divergence ( $K$ ) were compared with the predictions for steady detonations with lateral flow divergence obtained with the real thermo-chemical data of the mixtures. For the $2\text{C}_{2}\text{H}_{2}+5\text{O}_{2}+21\text{Ar}$ system, reasonable agreement was found between the experiments and steady wave prediction, particularly for the critical divergence leading to failure. Observations of the reaction zone structure in these detonations indicated that all the gas reacted very close to the front, as the transverse waves were reactive. The experiments obtained in the much more unstable detonations in $\text{C}_{3}\text{H}_{8}+5\text{O}_{2}$ showed significant differences between the experimentally derived $D(K)$ curve and the prediction of steady wave propagation. The latter was found to significantly under-predict the detonability of cellular detonations. The transverse waves in this mixture were found to be non-reactive, hence permitting the shedding of non-reacted pockets, which burn via turbulent flames on their surface. It is believed that the large differences between experiment and the inviscid model in this class of cellular structures is due to the importance of diffusive processes in the burn-out of the non-reacted pockets. The empirical tuning of a global one-step chemical model to describe the macro-scale kinetics in cellular detonations revealed that the effective activation energy was lower by 14 % in $2\text{C}_{2}\text{H}_{2}+5\text{O}_{2}+21\text{Ar}$ and 54 % in the more unstable $\text{C}_{3}\text{H}_{8}+5\text{O}_{2}$ system. This confirms previous observations that diffusive processes in highly unstable detonations are responsible for reducing the thermal ignition character of the gases processed by the detonation front.
An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions

Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for automatic speech recognition (ASR) because of its ability to jointly optimize all the conventional ASR components in an end-to-end (E2E) fashion. This report investigates the ability of E2E ASR from standard close-talk to far-field applications by encompassing entire multichannel speech enhancement and ASR components within the S2S model. There have been previous studies on jointly optimizing neural beamforming alongside E2E ASR for denoising. It is clear from both recent challenge outcomes and successful products that far-field systems would be incomplete without solving both denoising and dereverberation simultaneously. This report uses a recently developed architecture for far-field ASR by composing neural extensions of dereverberation and beamforming modules with the S2S ASR module as a single differentiable neural network and also clearly defining the role of each subnetwork. The original implementation of this architecture was successfully applied to the noisy speech recognition task (CHiME-4), while we applied this implementation to noisy reverberant tasks (DIRHA and REVERB). Our investigation shows that the method achieves better performance than conventional pipeline methods on the DIRHA English dataset and comparable performance on the REVERB dataset. It also has additional advantages of being neither iterative nor requiring parallel noisy and clean speech data.
From swiping to casual sex and/or committed relationships: Exploring the experiences of Tinder users

ABSTRACT To better understand if and how the mechanics of the process Tinder imposes on its users (i.e., swiping, matching, and starting conversations) influences the resulting sexual or romantic interactions, we collected data from 1038 Belgian Tinder users. Our findings show that a user's swiping quantity does not guarantee a higher number of Tinder matches, women have generally more matches than men and men usually have to start a conversation on Tinder. Moreover, while conversations were positively associated with reported offline Tinder encounters, less than half of our sample reported having had an offline meeting with another Tinder user. Whereas more than one third of these offline encounters led to casual sex, more than a quarter resulted in the formation of a committed relationship. Such findings indicate that Tinder is not “just a hookup app”, as often assumed in public discourse. We argue it is plausible that sexual encounters will eventually lead to committed relationships in a society where initiation of relationship formation with dating has been replaced by hooking up.
Common genetic variants in GAL, GAP43 and NRSN1 and interaction networks confer susceptibility to Hirschsprung disease

Hirschsprung disease (HSCR) is a severe multifactorial genetic disorder. Microarray studies indicated GAL, GAP43 and NRSN1 might contribute to the altered risk in HSCR. Thus, we focused on genetic variations in GAL, GAP43 and NRSN1, and the gene‐gene interactions involved in HSCR susceptibility. We recruited a strategy combining case‐control study and MassArray system with interaction network analysis. For GAL, GAP43 and NRSN1, a total of 18 polymorphisms were assessed in 104 subjects with sporadic HSCR and 151 controls of Han Chinese origin. We found statistically significant differences between HSCR and control groups at 5 genetic variants. For each gene, the haplotypes combining all polymorphisms were the most significant. Based on SNPsyn, MDR and GeneMANIA analyses, we observed significant gene‐gene interactions among GAL, GAP43, NRSN1 and our previous identified RELN, GABRG2 and PTCH1. Our study for the first time indicates that genetic variants within GAL, GAP43 and NRSN1 and related gene‐gene interaction networks might be involved in the altered susceptibility to HSCR in the Han Chinese population, which might shed more light on HSCR pathogenesis.
Comparing UV/EUV line parameters and magnetic field in a quiescent prominence with tornadoes

Context. Understanding the close relationship between the plasma and the magnetic field is important to describe and explain the observed complex dynamics of solar prominences. Aims. We determine if a close relationship between plasma and magnetic field parameters measured in a well-observed solar prominence with high spatial resolution can be found. Methods. We select a prominence observed on 15 July 2014 from space (IRIS, Hinode, SDO) and from the ground (THEMIS). We perform a robust co-alignment of the data sets using a 2D cross-correlation technique. We derive the magnetic field parameters from spectropolarimetric measurements of the He I D3 line taken by THEMIS. Line ratios and line-of-sight velocities from the Mg II h and k lines observed by IRIS are compared with magnetic field strength, inclination and azimuth. Electron densities are calculated using Hinode/EIS Fe XII line ratios and also compared with THEMIS and IRIS data. Results. We find Mg II k/h ratios of around 1.4 everywhere, similar to values found previously in prominences. We also find that the magnetic field is strongest (around 30 G) and predominantly horizontal in the tornado-like legs of the prominence. The k3 Doppler shift is found to be between +/- 10 km/s everywhere. Electron densities at a temperature of 1.5e6 K are found to be around 1e9 /cm3. No significant correlations are found between the magnetic field parameters, and any of the other plasma parameters inferred from EUV spectroscopy, which may be explained by the large differences in the temperatures of the lines used in this study. Conclusions. This is the first time that a detailed statistical study of plasma and magnetic field parameters has been carried out at high spatial resolution in a prominence. Our results provide important constraints on future models of the plasma and magnetic field in these structures.
Food Safety Practice and Associated Factors of Food Handlers Working in Substandard Food Establish- ments in Gondar Town, Northwest Ethiopia, 2013/14 Research Article

Introduction: Food borne illnesses comprise a broad spectrum of diseases and are responsible for substantial morbidity and mortality world- wide. The global incidence of food borne disease is difficult to estimate, but it has been reported that 2.1 million people died each year from diarrheal diseases and contaminated food contributes to 1.5 billion cases of diarrhea in children each year, resulting in more than three million premature deaths. In developing countries, up to an estimated 70% of cases of diarrheal diseases are associated with the consumption of con- taminated foods. Approximately 10 to 20% of food-borne disease outbreaks are due to contamination by the food handler. Objective: This study was conducted to assess food safety practices and associated factors of food handlers working in substandard food establishments of Gondar town, Northwest Ethiopia, 2013/14. Methods: Institution based cross sectional study design was conducted to assess food safety practices and associated factors of food handlers. Four hundred three food handlers were taken randomly as study subjects and data were collected by observation by using standardized question- naire and observational check lists. Ordinal logistic regression model was fitted to analyze the predictor variables. Results: The overall level of food safety practices (good - 30.30%, fair- 47.60% and poor - 22.10%) was reported. Of a number of predictor variables analyzed age, marital status, service year, monthly income, food hygiene and safety training, attitude, knowledge and depth of knowl- edge were identified as factors affecting food safety practices. Conclusion and recommendations: Compared to other similar studies, Low level of food safety practice (good - 30.30%, fair- 47.60% and poor - 22.10%) was reported. Therefore, Environmental health practitioners, the local Medias and the managers should do a lot to improve food safety practices of the food handlers. They should also design and implement food safety awareness creation programs.
Examining Temporal Sample Scale and Model Choice with Spatial Capture-Recapture Models in the Common Leopard Panthera pardus

Many large carnivores occupy a wide geographic distribution, and face threats from habitat loss and fragmentation, poaching, prey depletion, and human wildlife-conflicts. Conservation requires robust techniques for estimating population densities and trends, but the elusive nature and low densities of many large carnivores make them difficult to detect. Spatial capture-recapture (SCR) models provide a means for handling imperfect detectability, while linking population estimates to individual movement patterns to provide more accurate estimates than standard approaches. Within this framework, we investigate the effect of different sample interval lengths on density estimates, using simulations and a common leopard (Panthera pardus) model system. We apply Bayesian SCR methods to 89 simulated datasets and camera-trapping data from 22 leopards captured 82 times during winter 2010–2011 in Royal Manas National Park, Bhutan. We show that sample interval length from daily, weekly, monthly or quarterly periods did not appreciably affect median abundance or density, but did influence precision. We observed the largest gains in precision when moving from quarterly to shorter intervals. We therefore recommend daily sampling intervals for monitoring rare or elusive species where practicable, but note that monthly or quarterly sample periods can have similar informative value. We further develop a novel application of Bayes factors to select models where multiple ecological factors are integrated into density estimation. Our simulations demonstrate that these methods can help identify the “true” explanatory mechanisms underlying the data. Using this method, we found strong evidence for sex-specific movement distributions in leopards, suggesting that sexual patterns of space-use influence density. This model estimated a density of 10.0 leopards/100 km2 (95% credibility interval: 6.25–15.93), comparable to contemporary estimates in Asia. These SCR methods provide a guide to monitor and observe the effect of management interventions on leopards and other species of conservation interest.
Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding

The knowledge base (KB) completion problem is usually formulated as a link prediction problem. Such formulation is incapable of capturing certain application scenarios when the KB contains multi-fold relations. In this paper, we present a new formulation of KB completion, called instance reconstruction. Unlike its link-prediction counterpart, which has linear complexity in the size of the KB, this problem has its complexity behave as a high-degree polynomial. This presents a significant challenge in developing scalable instance reconstruction algorithms. In this paper, we present a novel knowledge embedding model (RAE) and build on it an instance reconstruction algorithm (SIR). The SIR algorithm utilizes schema-based filtering as well as "relatedness" filtering for complexity reduction. Here relatedness refers to the likelihood that two entities co-participate in a common instance, and the relatedness metric is learned from the RAE model. We show experimentally that SIR significantly reduces computation complexity without sacrificing reconstruction performance. The complexity reduction corresponds to reducing the KB size by 100 to 1000 folds.
A meta-analysis of randomized control trials assessing mesh fixation with glue versus suture in Lichtenstein inguinal hernia repair

Background: The use of glue to fix mesh instead of sutures in Lichtenstein inguinal hernia repair has been accepted worldwide, with the increasing worries about postoperative chronic groin pain and recurrence. The aim of this meta-analysis was to clarify which mesh fixation method was more suitable in Lichtenstein inguinal hernia repair. Methods: Articles published up to July 2017 were searched using MEDLINE, the Cochrane Library, Embase, and the Web of Science. Randomized controlled trials (RCTs) comparing glue versus suture mesh fixation in Lichtenstein inguinal hernia repair were included in the review. The quality assessment and data extraction of included studies were applied by 2 independent authors. Statistical analysis was performed using RevMan 5.2 software. Results: Thirteen RCTs with 2375 patients were eligible for inclusion. Eight trials compared synthetic glue with suture fixation and 5 compared biological glue with suture fixation. The results showed that there was a lower incidence of early chronic pain (subgroup analysis, biological glue versus sutures, odds ratio (OR) = 0.41; 95% confidence interval (CI), 0.19–0.90; P = . 03), and hematoma (subgroup analysis, synthetic glue versus sutures, OR = 0.56; 95% CI, 0.34–0.95; P = .03) in the glue fixation group. Suture mesh fixation method cost more time in operation than glue (mean difference = −4.60, 95% CI −7.60 to −1.60; P = .003). There was no evidence of an increase in chronic pain or recurrence rates with glue fixation method in the long-term follow-up. Conclusions: Mesh fixation with glue compared with sutures in Lichtenstein repair inguinal hernia is faster and less painful, without an increasing in terms of recurrence rates in the long term.
T cell determinants from autoantibodies to DNA can upregulate autoimmunity in murine systemic lupus erythematosus

(NZB x NZW) F1 (BWF1) mice develop spontaneous T cell autoimmunity to VH region determinants of syngeneic anti-DNA before the onset of clinical disease. In this study, we characterized the immunogenicity, MHC binding, and lymphokine secretion patterns induced by T cell determinants from the VH region of one such anti-DNA mAb (A6.1) and examined their role in the regulation of autoimmunity. Determinants were identified by proliferation of syngeneic splenic T cells from young, unprimed BWF1 mice in response to overlapping 12-mer peptides representing the entire VH region sequence. Immunization of young BWF1 mice with any of three determinants (A6H 34-45 [p34], A6H 58-69 [p58], and A6H 84-95 [p84]) elicited proliferative responses upon in vitro recall. Upon immunization with the whole A6.1 molecule, however, proliferative responses could be recalled only to the p58 peptide, defining this as immunodominant. The other two peptides (p34 and p84) elicited minimal or no proliferation and could be termed cryptic. Proliferative responses elicited by the cryptic determinants were restricted by a single class II (I-Ed for p34 and I-Au for p84), whereas the immunodominant p58 determinant was restricted by both I-Ed and I-Eu. The cryptic p34 and p84 bound strongly to I-Ed and I-Au, respectively, whereas the immunodominant p58 peptide bound poorly to I- Ed. A6H p84 elicited T cells that secreted lymphokines in a pattern consistent with a Th1-like phenotype, whereas p58 induced a Th2-like cytokine pattern. Immunization with p34 or p84, or adoptive transfer of a p84-reactive T cell line to young BWF1 mice significantly increased IgG anti-DNA levels, accelerated nephritis, and decreased survival. In conclusion, in BWF1 mice, autoreactive T cells recognizing both cryptic and dominant self-determinants on anti-DNA autoantibodies escape deletion or anergy induction. Furthermore, since these cells are spontaneously activated before the onset of clinical disease, they may be involved in the development of the autoimmune process.
Prevalence of Ovine Lungworm and Associated Risk Factors in and Around Debre Berhan Town, Ethiopia

Among African countries, Ethiopia is known by having the highest number of livestock population. Sheep are among the most important livestock species kept by highlanders’ in the country; used for meat production and immediate cash income next to poultry. However, about half of all sheep mortality and morbidity on farms in Ethiopian highlands are caused by pneumonia and endo-parasitism including lungworms [5, 21]. Lungworm is the common parasitic disease of sheep in the country because of it is ubiquitous and prevalent within many tropical and subtropical environments that provide nearly perfect conditions for survival and development of their larval stage. The parasites are round worms (nematodes) belonging to the phylum Nemathelminthes and grouped under Metastrongyloidea or Trichostrongyloidea super families [34].