Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of uric acid and nitric oxide concentrations in preeclampsia and normal pregnancy

Preeclampsia is a pregnancy specific multisystemic syndrome and a leading cause of maternal and fetal morbidity and mortality. The study comprised of 30 normal and 30 preeclampsia cases in their third trimester of pregnancy and the following estimations were done: Serum and urine uric acid, plasma nitric oxide (NO), urine pH, urine creatinine. There was an increase in both serum and urine uric acid levels in the cases (P = 0.000), though the urinary pH in both the groups were similar (P = 0.4). Urinary creatinine in both groups was not different. Plasma nitric oxide in the preeclampsia cases was significantly low (P = 0.000) as compared to controls. It was about one third the levels obtained in controls. There was a negative correlation of systolic BP with plasma NO levels in controls and positive in cases. As pregnancy progressed there was a decrease in plasma NO levels in both cases and controls. Urine uric acid to creatinine ratio increased with the decrease in NO levels and can be used as a marker for preeclampsia.
Teen pregnancy in Inuit communities – gaps still needed to be filled

Teen pregnancy is depicted around the world as an important cause of health disparities both for the child and the mother. Accordingly, much effort has been invested in its prevention and led to its decline in the northern hemisphere since the mid-1990s. Despite that, high rates are still observed in the circumpolar regions. As Inuit communities have granted better understanding of teenage pregnancy a priority for the coming years, this article comprehensively reviews this multidimensional issue. By depicting current prevalence, likely determinants and possible impacts documented among Inuit of Canada, Alaska and Greenland, and contrasting them to common knowledge that has emerged from other populations over the years, great gaps surface. In some regions, the number of pregnancies per number of Inuit women aged between 15 and 19 years has increased since the turn of the millennium, while statistics from others are either absent or difficult to compare. Only few likely determinants of teenage pregnancy such as low education and some household factors have actually been recognized among Inuit populations. Documented impacts of early pregnancy on Inuit women and their children are also limited compared to those from other populations. As a way to better address early pregnancy in the circumpolar context, the defence for additional scientific efforts and the provision of culturally adapted sexual health prevention programmes appear critical.
Fretting wear and fatigue in taper junctions of modular orthopaedic implants

Multi-component, or modular, implants have a number of advantages over monoblock implants, but also a number of disadvantages related to micromotion and fretting at the taper interface. Depending on the fretting regime, either fatigue or wear damage may occur, resulting in greatly reduced fatigue lives and the production of metallic wear debris. Current revision rates of hip implants with replaceable necks are double those with xed necks. To improve the understanding of taper performance and identify factors that can reduce wear and fatigue damage, 3-D nite element modelling of a taper connection representing the neck-stem junction of a dual modular hip prosthesis was performed. This included evaluations of shortand long-term taper strength, wear simulations and fatigue life predictions. Wear simulations included material removal due to wear. Fatigue damage calculations were performed using the critical plane Smith-Watson-Topper and Fatemi-Socie parameters together with an isotropic, linear damage accumulation model. To facilitate fatigue calculations, a unique method of tracking a consistent set of material points was presented. Taper geometry, assembly force and the magnitude of the cyclic load were all found to a ect taper performance. Increasing the assembly load reduced micromotion, but reductions in wear were o set by an increase in contact pressure. Increased loads resulted in signi cant increases in fatigue damage. Clinically relevant wear rates were predicted, suggesting that wear volumes produced by neck-stem tapers are similar to rates of head-neck and bearing surfaces of large head metal-on-metal total hips. Fatigue crack initiation sites were predicted to be within the taper junction, located at the edges of the wear patches in regions of partial slip. Due to the evolution of the contact and sub-surface stress/strains, the inclusion of material removal was found to be critical in the prediction of both crack initiation site and fatigue damage.
Concordance of Two Diabetes Diagnostic Criteria Using Fasting Plasma Glucose and Hemoglobin A1c: The Yuport Medical Checkup Centre Study

Background We tested the concordance of the two diagnostic criteria for diabetes using fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) by the Japan Diabetes Society (JDS) and American Diabetes Association (ADA). Methods We used data from 7,328 subjects without known diabetes who participated in a voluntary health checkup program at least twice between 1998 and 2006, at intervals ≤2 years. For repeat participants who attended the screening over two times, data from the first and second checkups were used for this study. At the first visit, diabetes was diagnosed both at FPG ≥7.0 mmol/L and HbA1c ≥6.5% using the JDS criteria. In addition, diabetes was diagnosed using two ADA criteria; ADA-FPG diabetes for persistent fasting hyperglycemia (FPG ≥7.0 mmol/L) or ADA-HbA1c diabetes for hyper-glycated hemoglominemia (HbA1c ≥6.5%), both at the first and second checkups. Subsequently, the concordance of diagnosis between the JDS and the ADA criteria was evaluated. Results At the first checkup, 153 (2.1%) persons were diagnosed with diabetes by the JDS criteria. They had higher levels of risk factors for diabetes than non-diabetic subjects. Using the first and second checkups, 174 (2.4%) and 175 (2.4%) were diagnosed with diabetes by the ADA-FPG criteria, respectively. Among 153 subjects diagnosed with diabetes by the JDS criteria, 125 (81.7%) and 129 (84.3%) had ADA-FPG and ADA-HbA1c diabetes, respectively. The kappa coefficients of the JDS criteria with ADA-FPG and ADA-HbA1c criteria were 0.759 and 0.782 (P<0.001), respectively. In the subgroup analysis stratified by sex, the concordance was well preserved at the kappa coefficients around 0.8 (between 0.725 and 0.836). Conclusion The JDS diagnostic criteria for diabetes have a substantial and acceptable concordance with the ADA criteria. The JDS criteria may be a practical method for diagnosing diabetes that maintains compatibility with the ADA criteria.
Negative Transfer Effects on L2 Word Order Processing

Does first language (L1) word order affect the processing of non-canonical but grammatical syntactic structures in second language (L2) comprehension? In the present study, we test whether L1-Spanish speakers of L2-Basque process subject–verb–object (SVO) and object–verb–subject (OVS) non-canonical word order sentences of Basque in the same way as Basque native speakers. Crucially, while OVS orders are non-canonical in both Spanish and Basque, SVO is non-canonical in Basque but is the canonical word order in Spanish. Our electrophysiological results showed that the characteristics of L1 affect the processing of the L2 even at highly proficient and early-acquired bilingual populations. Specifically, in the non-native group, we observed a left anterior negativity-like component when comparing S and O at sentence initial position and a P600 when comparing those elements at sentence final position. Those results are similar of those reported by Casado et al. (2005) for native speakers of Spanish indicating that L2-Basque speakers rely in their L1-Spanish when processing SVO–OVS word order sentences. Our results favored the competition model (MacWhinney, 1997).
Weak base pairing in both seed and 3′ regions reduces RNAi off-targets and enhances si/shRNA designs

The use of RNA interference is becoming routine in scientific discovery and treatment of human disease. However, its applications are hampered by unwanted effects, particularly off-targeting through miRNA-like pathways. Recent studies suggest that the efficacy of such off-targeting might be dependent on binding stability. Here, by testing shRNAs and siRNAs of various GC content in different guide strand segments with reporter assays, we establish that weak base pairing in both seed and 3′ regions is required to achieve minimal off-targeting while maintaining the intended on-target activity. The reduced off-targeting was confirmed by RNA-Seq analyses from mouse liver RNAs expressing various anti-HCV shRNAs. Finally, our protocol was validated on a large scale by analyzing results of a genome-wide shRNA screen. Compared with previously established work, the new algorithm was more effective in reducing off-targeting without jeopardizing on-target potency. These studies provide new rules that should significantly improve on siRNA/shRNA design.
Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks

Human action recognition is widely recognized as a challenging task due to the difficulty of effectively characterizing human action in a complex scene. Recent studies have shown that the dense-trajectory-based methods can achieve state-of-the-art recognition results on some challenging datasets. However, in these methods, each dense trajectory is often represented as a vector of coordinates, consequently losing the structural relationship between different trajectories. To address the problem, this paper proposes a novel Deep Trajectory Descriptor (DTD) for action recognition. First, we extract dense trajectories from multiple consecutive frames and then project them onto a canvas. This will result in a “trajectory texture” image which can effectively characterize the relative motion in these frames. Based on these trajectory texture images, a deep neural network (DNN) is utilized to learn a more compact and powerful representation of dense trajectories. In the action recognition system, the DTD descriptor, together with other non-trajectory features such as HOG, HOF and MBH, can provide an effective way to characterize human action from various aspects. Experimental results show that our system can statistically outperform several state-of-the-art approaches, with an average accuracy of 95:6% on KTH and an accuracy of 92.14% on UCF50.
JPSS-1VIIRS Prelaunch Polarization Testing and Performance

The Visible Infrared Imaging Radiometer Suite (VIIRS) instruments onboard both the Suomi National Polar-orbiting Partnership (S-NPP) and the first Joint Polar Satellite System (JPSS-1) spacecraft, with launch dates of October 2011 and late 2016, respectively, have polarization sensitivity, which affects the at-aperture radiometric calibration. This polarization sensitivity is caused by optics within VIIRS having different reflectance and transmission values as a function of at-aperture photon electric field orientation and is spectrally, spatially, and scan angle dependent. Characterization of the instrument’s polarization sensitivity for each visible near-infrared (VNIR) band and detector was performed prelaunch at multiple cross-track scan angles. The resultant characterization parameters are VIIRS polarization amplitude and phase that enable the at-aperture radiance to be adjusted based on its polarization characteristics. The sensor requirements are that the polarization amplitude for scan angles within ±45° of nadir be below 2.5%–3% depending on the band and have an uncertainty in both amplitude and phase of less than 0.5%. The S-NPP VIIRS passed these requirements with band M1 (412 nm) having the smallest margin (~8%). Modification to the VNIR bandpass filter designs on JPSS-1 was performed to reduce out-of-band response leaks observed prelaunch on S-NPP. An unintended consequence of the spectral bandpass modification was an increase in the polarization sensitivity by roughly a factor of 2 for some VNIR bands. The degree to which JPSS-1 VIIRS polarization sensitivity characterization results exceed the sensor specifications and comparisons with S-NPP will be discussed.
The Risk Factors of Postoperative Delirium after Total Knee Arthroplasty

Abstract We investigated the results of delirium which developed after total knee arthroplasty (TKA) and the risk factors for delirium in the patients who are older than 65 years. From March 2008 to March 2012, we performed a retrospective study on 296 knees of 265 patients who were treated with TKA. They were divided into two groups: 216 patients without delirium and 49 patients diagnosed with delirium by psychiatry. We analyzed the risk factors into three categories: First, the preoperative factors including gender, age, body mass index (BMI), clinical and functional knee joint score (Knee Society Knee Score and Knee Society Function Score) and the number of underlying diseases and associations with each disease; Second, the operative factors including the anesthesia method, amount of blood loss, operating time, laboratory factors, and transfusion count; Third, the postoperative factors such as start time of walking and duration of hospital stay were analyzed. There were significant statistical difference between two groups just in age, history of dementia, cerebrovascular disease, difference of hemoglobin and albumin, start time of walking, and duration of hospital stay. The delirium after TKA delays the postoperative ambulation and extends the hospital stay, which causes functional and socioeconomic loss of patients. Therefore, the risk factors for delirium should be assessed and proper prevention and management should be conducted.
Sweet Emotion: The Role of Odor-induced Context in the Search Advantage for Happy Facial Expressions

The current study investigated the extent to which the concurrent presentation of pleasant and unpleasant odors could modulate the perceptual saliency of happy facial expressions in an emotional visual search task. Whilst a search advantage for happy faces was found in the no odor and unpleasant odor conditions, it was abolished under the pleasant odor condition. Furthermore, phasic properties of visual search performance revealed the malleable nature of this happiness advantage. Specifically, attention towards happy faces was optimized at the start of the visual search task for participants presented with pleasant odors, but diminished towards the end. This pattern was reversed for participants in the unpleasant odor condition. These patterns occur through the emotion-inducing capacities of odors and highlight the circumstances in which top-down factors can override perceptually salient facial features in emotional visual search.
Separating Mangrove Species and Conditions Using Laboratory Hyperspectral Data: A Case Study of a Degraded Mangrove Forest of the Mexican Pacific

Given the scale and rate of mangrove loss globally, it is increasingly important to map and monitor mangrove forest health in a timely fashion. This study aims to identify the conditions of mangroves in a coastal lagoon south of the city of Mazatlan, Mexico, using proximal hyperspectral remote sensing techniques. The dominant mangrove species in this area includes the red (Rhizophora mangle), the black (Avicennia germinans) and the white (Laguncularia racemosa) mangrove. Moreover, large patches of poor condition black and red mangrove and healthy dwarf black mangrove are commonly found. Mangrove leaves were collected from this forest representing all of the aforementioned species and conditions. The leaves were then transported to a laboratory for spectral measurements using an ASD FieldSpec® 3 JR spectroradiometer (Analytical Spectral Devices, Inc., USA). R2 plot, principal components analysis and stepwise discriminant analyses were then used to select wavebands deemed most appropriate for further mangrove classification. Specifically, the wavebands at 520, 560, 650, 710, 760, 2100 and 2230 nm were selected, which correspond to chlorophyll absorption, red edge, starch, cellulose, nitrogen and protein regions of the spectrum. The classification and validation indicate that these wavebands are capable of identifying mangrove species and mangrove conditions common to this degraded forest with an overall accuracy and Khat coefficient higher than 90% and 0.9, respectively. Although lower in accuracy, the classifications of the stressed (poor condition and dwarf) mangroves were found to be satisfactory with accuracies higher than 80%. The results of this study indicate that it could be possible to apply laboratory hyperspectral data for classifying mangroves, not only at the species level, but also according to their health conditions.
Using WikiData as a Multi-lingual Multi-dialectal Dictionary for Arabic Dialects

Since 2012, Wikidata has been developed as a freely accessible and community generated knowledge database that represents not only the name of each item (tree, famous person.) in all available languages but also to define links (like "component of", "born in", "instance of".) between items. Nowadays, the output of Wikidata has become one of the greatest semantic web data in the world and has been proved to be useful to solve many currently existing problems in Computational Linguistics, in Medicine, and in many other fields. In this research work, we propose to convert Wikidata into a multilingual multi-dialectal dictionary for Arabic dialects and we explain how Wikidata as a multi-lingual multi-dialectal dictionary for Arabic dialects can be later used for the natural language processing of the varieties of Arabic by computational linguists and computer scientists.
Contrasting Diversity Patterns of Crenarchaeal, Bacterial and Fungal Soil Communities in an Alpine Landscape

Background The advent of molecular techniques in microbial ecology has aroused interest in gaining an understanding about the spatial distribution of regional pools of soil microbes and the main drivers responsible of these spatial patterns. Here, we assessed the distribution of crenarcheal, bacterial and fungal communities in an alpine landscape displaying high turnover in plant species over short distances. Our aim is to determine the relative contribution of plant species composition, environmental conditions, and geographic isolation on microbial community distribution. Methodology/Principal Findings Eleven types of habitats that best represent the landscape heterogeneity were investigated. Crenarchaeal, bacterial and fungal communities were described by means of Single Strand Conformation Polymorphism. Relationships between microbial beta diversity patterns were examined by using Bray-Curtis dissimilarities and Principal Coordinate Analyses. Distance-based redundancy analyses and variation partitioning were used to estimate the relative contributions of different drivers on microbial beta diversity. Microbial communities tended to be habitat-specific and did not display significant spatial autocorrelation. Microbial beta diversity correlated with soil pH. Fungal beta-diversity was mainly related to soil organic matter. Though the effect of plant species composition was significant for all microbial groups, it was much stronger for Fungi. In contrast, geographic distances did not have any effect on microbial beta diversity. Conclusions/Significance Microbial communities exhibit non-random spatial patterns of diversity in alpine landscapes. Crenarcheal, bacterial and fungal community turnover is high and associated with plant species composition through different set of soil variables, but is not caused by geographical isolation.
Gross anatomy of the heart of the alpaca (Vicugna pacos, Linnaeus 1758)

The available information about anatomical characteristics of the cardiovascular system of the alpaca (Vicugna pacos, Linnaeus 1758) is scarce. The general objective of this work was to describe its heart anatomy. We dissected six adult animals and five neonates. The heart of the alpaca was located in the middle mediastinum, with a craniocaudal extension from the third to the sixth rib. No ligament that connected the fibrous pericardium to the sternum or to the diaphragm was detected. In the right atrium, there was a developed crista terminalis and small pectinate muscles. In the right ventricle, the septomarginal trabecula was very large. From the proximities of the interventricular septum arose small septomarginal trabeculae that ended in carnous trabeculae of the septal wall. The left atrium included little developed pectinate muscles. On the left ventricle, both papillary muscles were bilobed. Two left septomarginal trabeculas were detected in this ventricle. The left subclavian artery was originated from the aortic arch separately from the brachiocephalic trunk, and bicarotid trunk was present. The other branches of the subclavian artery were similar to the domestic ruminants. The arterial supply of the heart was of the right type. In conclusion, the heart anatomy of alpaca and the irrigation of thoracic cavity were more similar to those of old world camels and different from domestic ruminants.
Probing the surfaces of core‐shell and hollow nanoparticles by solvent relaxation NMR

Measurement of the spin–spin NMR relaxation time (or its inverse, the rate) of water molecules in aqueous nanoparticle dispersions has become a popular approach to probe of the nature and structure of the particle surface and any adsorbed species. Here, we report on the characterisation of aqueous dispersions of hollow amorphous nanoparticles that have two liquid accessible surfaces (inner cavity surface and outer shell surface) plus the solid (silica) and core‐shell (titania–silica) nanoparticle precursors from which the hollow particles have been prepared. In all cases, the observed water relaxation rates scale linearly with particle surface area, with the effect being more pronounced with increasing levels of titania present at the particle surface. Two distinct behaviours were observed for the hollow nanoparticles at very low volume fractions, which appear to merge with increasing surface area (particle concentration). Herewith, we further show the versatility of solvent NMR spectroscopy as a probe of surface character.
Bamshad: A JIT compiler for running Java stream APIs on heterogeneous environments

Nowadays, Graphics Processing Units (GPUs) and other types of emerging accelerators have an important role in high-performance computing. These devices can be leveraged in a wide range of applications through using appropriate programming environments such as CUDA and OpenCL which lead to reaching high-performance applications. However, on one hand, programming GPUs is a painful and error-prone task and requires a great amount of expertise especially in low-level architectural features as well as their memory management in order to achieve reasonable performance. On the other hand, enabling running high-level programming languages such as Java with massive computational power of today's GPUs can lessen the burden of this complexity. Considering new features in Java 8 such as lambda functions which are used in Java parallel streams, supporting these new features is vital to use these devices in real applications. In this paper, we introduce a just-in-time compiler, named Bamshad, which ports lambda functions used in Java parallel streams to GPU at runtime. For this, a series of compiler techniques are adopted to transparently eliminate unnecessary data communication between CPUs and GPUs. With our approach, a programmer is not involved in the detailed process of tuning a GPU device for reducing the amount of communication. The experimental results show that the proposed JIT compiler yields 13× improvement in comparison to sequential Java execution for all benchmarks. Also, in comparison to parallel Java, our work yields 3.9× improvement.