Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Caesarean Risk Factor in Northern Region of Bangladesh: A Multivariate Analysis

Abstract Background Caesarean section (c-section) rates have been increasing dramatically in the past decades around the world. This increase has been attributed to multiple factors such as maternal, socio-demographic and institutional fac-tors. Therefore, this study examines the impact of maternal, socio-demographic and relevant characteristics on caesar-ean delivery in the northern region of Bangladesh. Methods This study is based on a total of 1142 delivery cases from four private hospitals and four public hospitals during the period of January to March 2010. The study was carried out using a cross-sectional design where data were collected by simple random sampling. In order to data analysis, first, an initial bivariate analysis was performed by the chi-square and Fisher exact test. Secondly, the risk factors which are associated with c-section identify by logistic re-gression model. Finally, a stepwise regression analysis was carried out to isolate the most influential risk factors. Results Among the 17 risk factors, nine were found significantly associated with type of delivery. Eight of the risk factors i.e. previous c-section, pregnancy-induced swollen of leg, prolonged labour, maternal education status, mater-nal age more than 25 years, low birth order, length of baby more than 45cm and irregular intake of a balanced diet remained independently significant for caesarean delivery. The value of P<0.05 was considered statistically significant. Maternal complications were found to be more significant in public hospitals than in private ones and conversely for the demographic characteristics. Conclusions The findings of this study suggested that the above factors may influence the health-seeking behaviour of women in the northern region of Bangladesh.
A Green Fluorescent Protein Fusion to Actin-Binding Domain 2 of Arabidopsis Fimbrin Highlights New Features of a Dynamic Actin Cytoskeleton in Live Plant Cells1[w]

The actin cytoskeleton coordinates numerous cellular processes required for plant development. The functions of this network are intricately linked to its dynamic arrangement, and thus progress in understanding how actin orchestrates cellular processes relies on critical evaluation of actin organization and turnover. To investigate the dynamic nature of the actin cytoskeleton, we used a fusion protein between green fluorescent protein (GFP) and the second actin-binding domain (fABD2) of Arabidopsis (Arabidopsis thaliana) fimbrin, AtFIM1. The GFP-fABD2 fusion protein labeled highly dynamic and dense actin networks in diverse species and cell types, revealing structural detail not seen with alternative labeling methods, such as the commonly used mouse talin GFP fusion (GFP-mTalin). Further, we show that expression of the GFP-fABD2 fusion protein in Arabidopsis, unlike GFP-mTalin, has no detectable adverse effects on plant morphology or development. Time-lapse confocal microscopy and fluorescence recovery after photobleaching analyses of the actin cytoskeleton labeled with GFP-fABD2 revealed that lateral-filament migration and sliding of individual actin filaments or bundles are processes that contribute to the dynamic and continually reorganizing nature of the actin scaffold. These new observations of the dynamic actin cytoskeleton in plant cells using GFP-fABD2 reveal the value of this probe for future investigations of how actin filaments coordinate cellular processes required for plant development.
Compromising the 19S proteasome complex protects cells from reduced flux through the proteasome

Proteasomes are central regulators of protein homeostasis in eukaryotes. Proteasome function is vulnerable to environmental insults, cellular protein imbalance and targeted pharmaceuticals. Yet, mechanisms that cells deploy to counteract inhibition of this central regulator are little understood. To find such mechanisms, we reduced flux through the proteasome to the point of toxicity with specific inhibitors and performed genome-wide screens for mutations that allowed cells to survive. Counter to expectation, reducing expression of individual subunits of the proteasome's 19S regulatory complex increased survival. Strong 19S reduction was cytotoxic but modest reduction protected cells from inhibitors. Protection was accompanied by an increased ratio of 20S to 26S proteasomes, preservation of protein degradation capacity and reduced proteotoxic stress. While compromise of 19S function can have a fitness cost under basal conditions, it provided a powerful survival advantage when proteasome function was impaired. This means of rebalancing proteostasis is conserved from yeast to humans. DOI: http://dx.doi. org/10.7554/eLife.08467. 001
Detecting near-duplicate document images using interest point matching

We present an approach to detecting near-duplicate document images using SIFT interest point matching. Given a set of document images, a database is constructed from the SIFT features extracted from each image, stored as a kd-tree. The near-duplicates of a query image are estimated by directly matching its SIFT descriptors with the feature database. We demonstrate the approach on a challenging set of unconstrained Arabic hand and machine written images obtained from the field, consisting of 16,000+ documents. Our experiments indicate that the approach detects near-duplicates with low false alarm rate and outperforms bag-of-words based approach.
Targeting Toll-Like Receptors: Promising Therapeutic Strategies for the Management of Sepsis-Associated Pathology and Infectious Diseases

Toll-like receptors (TLRs) are pattern recognition receptors playing a fundamental role in sensing microbial invasion and initiating innate and adaptive immune responses. TLRs are also triggered by danger signals released by injured or stressed cells during sepsis. Here we focus on studies developing TLR agonists and antagonists for the treatment of infectious diseases and sepsis. Positioned at the cell surface, TLR4 is essential for sensing lipopolysaccharide of Gram-negative bacteria, TLR2 is involved in the recognition of a large panel of microbial ligands, while TLR5 recognizes flagellin. Endosomal TLR3, TLR7, TLR8, TLR9 are specialized in the sensing of nucleic acids produced notably during viral infections. TLR4 and TLR2 are favorite targets for developing anti-sepsis drugs, and antagonistic compounds have shown efficient protection from septic shock in pre-clinical models. Results from clinical trials evaluating anti-TLR4 and anti-TLR2 approaches are presented, discussing the challenges of study design in sepsis and future exploitation of these agents in infectious diseases. We also report results from studies suggesting that the TLR5 agonist flagellin may protect from infections of the gastrointestinal tract and that agonists of endosomal TLRs are very promising for treating chronic viral infections. Altogether, TLR-targeted therapies have a strong potential for prevention and intervention in infectious diseases, notably sepsis.
Antenatal Bartter syndrome presenting as hyperparathyroidism with hypercalcemia and hypercalciuria: a case report and review

Abstract Antenatal type I Bartter syndrome (ABS) is usually identified by the presence of polyhydramnios, premature delivery, hypokalemia, metabolic alkalosis, hypercalciuria, and nephrocalcinosis caused by mutations in the Na-K-2Cl cotransporter (NKCC2)-encoding SLC12A1 gene. In this report, we describe a novel presentation of this syndrome with hypercalcemic hypercalciuric hyperparathyroidism, and review the literature of the variable atypical presentations of ABS.
Long-Term Stability of Planets in Binary Systems

A simple question of celestial mechanics is investigated: in what regions of phase space near a binary system can planets persist for long times? The planets are taken to be test particles moving in the field of an eccentric binary system. A range of values of the binary eccentricity and mass ratio is studied, and both the case of planets orbiting close to one of the stars, and that of planets outside the binary orbiting the system's center of mass, are examined. From the results, empirical expressions are developed for both (1) the largest orbit around each of the stars and (2) the smallest orbit around the binary system as a whole, in which test particles survive the length of the integration (104 binary periods). The empirical expressions developed, which are roughly linear in both the mass ratio μ and the binary eccentricity e, are determined for the range 0.0 ≤ e ≤ 0.7–0.8 and 0.1 ≤ μ ≤ 0.9 in both regions and can be used to guide searches for planets in binary systems. After considering the case of a single low-mass planet in binary systems, the stability of a mutually interacting system of planets orbiting one star of a binary system is examined, though in less detail.
Energy consumption in mobile phones: a measurement study and implications for network applications

In this paper, we present a measurement study of the energy consumption characteristics of three widespread mobile networking technologies: 3G, GSM, and WiFi. We find that 3G and GSM incur a high tail energy overhead because of lingering in high power states after completing a transfer. Based on these measurements, we develop a model for the energy consumed by network activity for each technology. Using this model, we develop TailEnder, a protocol that reduces energy consumption of common mobile applications. For applications that can tolerate a small delay such as e-mail, TailEnder schedules transfers so as to minimize the cumulative energy consumed meeting user-specified deadlines. We show that the TailEnder scheduling algorithm is within a factor 2x of the optimal and show that any online algorithm can at best be within a factor 1.62x of the optimal. For applications like web search that can benefit from prefetching, TailEnder aggressively prefetches several times more data and improves user-specified response times while consuming less energy. We evaluate the benefits of TailEnder for three different case study applications - email, news feeds, and web search - based on real user logs and show significant reduction in energy consumption in each case. Experiments conducted on the mobile phone show that TailEnder can download 60% more news feed updates and download search results for more than 50% of web queries, compared to using the default policy.
Charles A. Dice Center for Research in Financial Economics Cyclicality, Performance Measurement, and Cash Flow Liquidity in Private Equity

We study the liquidity properties of private equity cash flows using data from 837 buyout and venture capital funds from 1984-2010. Most cash flow variation at a point in time is diversifiable – either idiosyncratic to a given fund or explained by the fund’s age. Both capital calls and distributions also have a procyclical systematic component. Distributions are more sensitive than calls, implying procyclical aggregate net cash flows. A consequence is that the well-known finding that funds raised in hot markets underperform in absolute terms is sharply attenuated when comparing to public equities. Consistent with a liquidity premium for calling capital in bad times, we find that funds with a relatively high propensity to do so perform better in both absolute and relative terms. Venture capital cash flows and performance are considerably more cyclical than buyout, and the links between cyclical cash flows and performance are likewise stronger.
Prediction of Vibrio Occurrence in Sea Water Associated To Oyster Farm on Ang-Sila Coastal In East of Thailand

This paper explored to the correlation between the vibrio density and sea-water quality over the oyster farming on Ang-Sila coastal in East of Thailand. The methodology used the combination of field data, Geographic Information System (GIS) and Modelling. Thai Pollution Control Department (PCD) database was used to predict the vibrio occurrence in sea-water using the binary logistic regression model. The study found: (1) The vibrio occurred in the oyster are correlated to the single parameter of pH while the vibrio occurred in the sea-water are correlated to the temperature and salinity. (2) Salinity and temperature are implicated to use in the binary logistic regression model with confidential pseudo R 2 (Nagelkerke) of 0.84 for prediction of the vibrio occurrence in the sea-water. (3) According to the model predicted, the vibrio occurrences on the high- potential are shown in dry season while the low-potential are shown in rainy season. These results demonstrated by the GIS and the binary logistic regression are appropriated to use in the spatial-vibrio analysis and food-health safety management.
An overview on automatic speech attribute transcription (ASAT)

Automatic Speech Attribute Transcription (ASAT), an ITR project sponsored under the NSF grant (IIS-04-27113), is a cross-institute effort involving Georgia Institute of Technology, The Ohio State University, University of California at Berkeley, and Rutgers University. This project approaches speech recognition from a more linguistic perspective: unlike traditional ASR systems, humans detect acoustic and auditory cues, weigh and combine them to form theories, and then process these cognitive hypotheses until linguistically and pragmatically consistent speech understanding is achieved. A major goal of the ASAT paradigm is to develop a detection-based approach to automatic speech recognition (ASR) based on attribute detection and knowledge integration. We report on progress of the ASAT project, present a sharable platform for community collaboration, and highlight areas of potential interdisciplinary ASR research. Index Terms: attributes, events, features, detection, speech recognition, speech attribute transcription, utterance verification
Mutual Fund Performance Evaluation using Data Envelopment Analysis with Higher Moments

The mutual fund industry has experienced huge growth internationally, becoming one of the primary vehicles through which individuals and most institutions invest in capital markets. Thus, the evaluation of the performance of mutual funds has become a very interesting research topic both for academic researchers for managers of financial, banking and investment institutions. This paper proposes Data Envelopment Analysis, a nonparametric approach, for the evaluation of mutual fund performance. This method is applied in both mean-variance and higher momentâ€™s framework on data of Greek mutual funds over the period 2007-2010 with encouraging results.
Secondary prevention after coronary artery bypass graft surgery: a scientific statement from the American Heart Association.

Background—Despite evidence supporting the use of aspirin, β-blockers, angiotensin-converting enzyme inhibitors, and lipid-lowering therapies in eligible patients, adoption of these secondary prevention measures after coronary artery bypass grafting has been inconsistent. We sought to rigorously test on a national scale whether low-intensity continuous quality improvement interventions can be used to speed secondary prevention adherence after coronary artery bypass grafting. Methods and Results—A total of 458 hospitals participating in the Society of Thoracic Surgeons National Cardiac Database and treating 361 328 patients undergoing isolated coronary artery bypass grafting were randomized to either a control or an intervention group. The intervention group received continuous quality improvement materials designed to influence the prescription of the secondary prevention medications at discharge. The primary outcome measure was discharge prescription rates of the targeted secondary prevention medications.
The Longitudinal Relationship Between Sleep Duration and Body Mass Index in Children: A Growth Mixture Modeling Approach

Objective: A growing number of studies indicate that shorter sleep durations could contribute to obesity in children. The objective of this article was to further examine the longitudinal relationship between sleep duration and body mass index (BMI) in children by using a growth mixture modeling approach. Method: This article used prospective data from the Longitudinal Study of Australian Children. Participants included 1079 children aged 4 to 5 years (2004) followed up until age 10 to 11 years (2010). Growth mixture modeling was performed to examine the longitudinal association between sleep duration and body mass index within distinct body mass index trajectories. Results: The results indicated 3 distinct body mass index trajectories: healthy weight, early onset obesity, and later onset obesity. Longitudinal inverse associations were evident between sleep duration and body mass index in the Early Onset Trajectory. There were some associations between sleep duration and body mass index in the other trajectories. Conclusions: This article provides further insight into the longitudinal relationship between sleep duration and body mass index in children. In particular, the results indicate that shorter sleep durations are primarily associated with body mass index in children with early onset obesity.
CONSTRAINING EMISSION MODELS OF LUMINOUS BLAZAR SOURCES

Many luminous blazars which are associated with quasar-type active galactic nuclei display broadband spectra characterized by a large luminosity ratio of their high-energy (γ-ray) and low-energy (synchrotron) spectral components. This large ratio, reaching values up to 100, challenges the standard synchrotron self-Compton models by means of substantial departures from the minimum power condition. Luminous blazars also typically have very hard X-ray spectra, and those in turn seem to challenge hadronic scenarios for the high-energy blazar emission. As shown in this paper, no such problems are faced by the models which involve Comptonization of radiation provided by a broad-line region, or dusty molecular torus. The lack or weakness of bulk-Compton and Klein–Nishina features indicated by the presently available data favors the production of γ-rays via upscattering of infrared photons from hot dust. This implies that the blazar emission zone is located at parsec-scale distances from the nucleus, and as such is possibly associated with the extended, quasi-stationary reconfinement shocks formed in relativistic outflows. This scenario predicts characteristic timescales for flux changes in luminous blazars to be days/weeks, consistent with the variability patterns observed in such systems at infrared, optical, and γ-ray frequencies. We also propose that the parsec-scale blazar activity can be occasionally accompanied by dissipative events taking place at sub-parsec distances and powered by internal shocks and/or reconnection of magnetic fields. These could account for the multiwavelength intraday flares occasionally observed in powerful blazar sources.
Exploiting Spatial and Temporal Features for Deep Learning Based Human Activity Recognition

Human activity recognition using inertial sensors has gained significant popularity and widespread adoption in various fields, while deep learning has emerged as the dominant approach, playing a pivotal role in enhancing performance. Nevertheless, existing algorithms often neglect the heterogeneity of sensors and fail to effectively extract contextual features from long-term time series data, resulting in low accuracy in activity recognition, especially for complex activities. This paper proposes a novel method called FUsion Transformer hUman activity REcognition(FUTURE). FUTURE exploits the feature fusion mechanism and designs a multi-scaled DenseNet to extract the spatial features so that the relationship between heterogeneous sensors can be captured. Furthermore, a customized multi-head attention model with less computational complexity is employed in FUTURE to capture global dependencies within the sensor data. Experimental results on multiple datasets validate that FUTURE achieves an average recognition accuracy of 95% for complex activities and the evaluation against the state-of-the-art demonstrates the superior performance of the FUTURE model in accurately classifying complex activities.
Prevalence of chronic diseases among physicians in Taiwan: a population-based cross-sectional study

Objectives The health of physicians is an important topic which needs to be addressed in order to provide the best quality of patient care. However, there are few studies on the prevalence of chronic diseases among physicians. In this study, we explored the prevalence of chronic diseases among physicians and compared the probability of chronic diseases between physicians and the general population using a population-based data set in Taiwan. Study design A cross-sectional study. Setting Taiwan. Participants Our study consisted of 1426 practising physicians and 5704 general participants. Primary outcome measures We chose 22 chronic diseases from the Elixhauser Comorbidity index and nine highly prevalent medical conditions in an Asian population for analysis. We used conditional logistic regression analyses to investigate the OR and its corresponding 95% CI of chronic diseases between these two groups. Results The conditional logistic regression analyses showed that physicians had lower odds of peripheral vascular disorders (OR=0.41, 95% CI=0.19 to 0.90), uncomplicated diabetes (OR=0.76, 95% CI=0.60 to 0.97), complicated diabetes (OR=0.53, 95% CI=0.34 to 0.83), renal failure (OR=0.41, 95% CI=0.19 to 0.90), liver diseases (OR=0.78, 95% CI=0.66 to 0.94), and hepatitis B or C (OR=0.62, 95% CI=0.49 to 0.77) and higher odds of hypertension (OR=1.21, 95% CI=1.03 to 1.41), hyperlipidaemia (OR=1.43, 95% CI=1.23 to 1.67) and asthma (OR=1.59, 95% CI=1.16 to 2.18) than the general population. Conclusions We concluded that although physicians had decreased prevalence of some chronic diseases, they had a significantly increased prevalence of hypertension, hyperlipidaemia and asthma.
Cerebral Specialization for Speech and Non-Speech Stimuli in Infants

Early cerebral specialization and lateralization for auditory processing in 4-month-old infants was studied by recording high-density evoked potentials to acoustical and phonetic changes in a series of repeated stimuli (either tones or syllables). Mismatch responses to these stimuli exhibit a distinct topography suggesting that different neural networks within the temporal lobe are involved in the perception and representation of the different features of an auditory stimulus. These data confirm that specialized modules are present within the auditory cortex very early in development. However, both for syllables and continuous tones, higher voltages were recorded over the left hemisphere than over the right with no significant interaction of hemisphere by type of stimuli. This suggests that there is no greater left hemisphere involvement in phonetic processing than in acoustic processing during the first months of life.