Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing Sleep Disorders during Pregnancy

Sleep disturbances and disorders are common during pregnancy, and they can be risk factors for a number of serious pregnancy-related sleep disorders. These include postpartum depression, pregnancy-induced hypertension, gestational diabetes, and intrauterine growth retardation. In addition, certain chronic sleep disorders, such as narcolepsy, are quite challenging to manage in the context of pregnancy and during lactation, particularly with medications that can be teratogenic. This review discusses 4 common sleep disorders and their impacts on pregnancy, and suggests ways to deal with these disorders that improves maternal and fetal outcomes safely. The review discusses diagnosis and treatment of obstructive sleep apnea, restless legs syndrome, insomnia, and narcolepsy in pregnancy.
Assessment of the Adaptation of Interim Crowns using Different Measurement Techniques.

PURPOSE To compare the internal fit and marginal discrepancy of acrylic resin interim crowns fabricated by different manufacturing methods, and to test the consistency of measuring marginal discrepancy and internal fit between different measuring techniques. MATERIALS AND METHODS A dentoform mandibular left first molar was prepared for an all-ceramic crown. Thirty-six interim crowns were fabricated and divided into three groups (n = 12): group BAC (Bis-acrylic composite, fabricated manually), group CAM (CAD/CAM polymethylmethacrylate resin, milled), and group 3DP (3D printed methacrylic oligomers, printed). The internal fit of the interim crowns was evaluated by the silicone replica technique and by X-ray microcomputed tomography (μCT) technique. The marginal discrepancy of the interim crowns was evaluated by the vinyl polysiloxane (VPS) (Aquasil Ultra XLV) impression technique and by optical coherence tomography (OCT) technique. Data were statistically analyzed using ANOVA and Turkey tests at α = 0.05. Pearson correlation test was used to evaluate the correlation between the different measurement techniques and marginal discrepancy/internal fit. RESULTS The manually fabricated interim crowns (group BAC) had significantly greater discrepancy of internal fit than did the digitally fabricated crowns (group CAM and group 3DP) measured by both silicone replica technique and μCT 2-dimensional image measurement. There were no statistically significant differences in the cement space volume values obtained by the μCT image technique between group BAC and group 3DP (p = 0.285). The coefficient of determination between the two volumetric measurement techniques was low (R2 = 0.30). For marginal discrepancy, the manually fabricated interim crowns had a wider absolute marginal discrepancy than both digitally fabricated groups (p < 0.05). In both the VPS impression and OCT assessment, there was no statistically significant difference between group CAM and group 3DP (p = 0.798 and 0.994, respectively). The coefficient of determination between the VPS impression and OCT techniques for marginal discrepancy measurement was low (R2 = 0.23). CONCLUSIONS Digitally fabricated interim crowns (group CAM and group 3DP) had better internal fit and smaller marginal discrepancy than manually fabricated interim crowns (group BAC). For comparison of the different evaluation techniques, the silicone replica technique and μCT measurements had low correlation for internal fit assessment, as did the PVS impression and OCT techniques for marginal discrepancy test. This article is protected by copyright. All rights reserved.
Cumulative trauma disorders and carpal tunnel syndrome: Sorting out the confusion

Chronic work injury will be implicated as a cause of upper extremity musculoskeletal disorders in increasing numbers of patients. A wide variety of conditions, some with a specific diagnosis (eg, carpal tunnel syndrome) and a known response to treatment in contrast to more generalized disorders (eg, tendonitis) where the prognosis is uncertain form part of the spectrum. Experience has demonstrated that as the diagnosis becomes less specific, job related and emotional factors can significantly affect the patient's presentation, response to treatment and timing to return to work. Care needs to be exercised in implicating work in the etiology. General terms such as ‘cumulative trauma disorder’ and ‘repetitive strain injury’ need to be avoided.
Robustifying Network Protocols with Adversarial Examples

Ideally, network protocols (e.g., for routing, congestion control, video streaming, etc.) will perform well across the entire range of environments in which they might operate. Unfortunately, this is typically not the case; a protocol might fail to achieve good performance when network conditions deviate from assumptions implicitly or explicitly underlying its design, or due to specific implementation choices. Identifying exact conditions in which a specific protocol fares badly (though good performance is feasible to attain) is, however, not always easy as the reasons for protocol suboptimality or misbehavior might be elusive. We make two contributions: (1) We present a novel framework that leverages reinforcement learning (RL) to generate network conditions in which a given protocol fails to perform well. Our framework can be used to assess the robustness of a given protocol and to guide changes to the protocol for making it more robust. (2) We show how our framework for generating adversarial network conditions can be used to enhance the robustness of RL-driven network protocols, which have gained substantial popularity of late. We demonstrate the usefulness of our approach in two contexts: adaptive video streaming and Internet congestion control.
Bandwidth steering in HPC using silicon nanophotonics

As bytes-per-FLOP ratios continue to decline, communication is becoming a bottleneck for performance scaling. This paper describes bandwidth steering in HPC using emerging reconfigurable silicon photonic switches. We demonstrate that placing photonics in the lower layers of a hierarchical topology efficiently changes the connectivity and consequently allows operators to recover from system fragmentation that is otherwise hard to mitigate using common task placement strategies. Bandwidth steering enables efficient utilization of the higher layers of the topology and reduces cost with no performance penalties. In our simulations with a few thousand network endpoints, bandwidth steering reduces static power consumption per unit throughput by 36% and dynamic power consumption by 14% compared to a reference fat tree topology. Such improvements magnify as we taper the bandwidth of the upper network layer. In our hardware testbed, bandwidth steering improves total application execution time by 69%, unaffected by bandwidth tapering.
Study of Non Stationary Mode Flow of an Abdominal Aortic Aneurysm

Introduction: Abdominal aortic aneurysm rupture is 95% lethal. Numerical simulation of Navier-Stokes equations allows seeing complex flow phenomenon in laminar state. Method: In this study, we work on a model using the finite element method with an actual 3D geometry. This geometry is from a point cloud obtained by a tomodensitometry scan of a typical patient. We consider rigid wall, homogeneous and Newtonian fluid. We impose four pulsative waveforms as entrance condition: two rest waveforms, two exercise waveforms. The four average Reynolds numbers are 353 and 363 for the rest waveforms and 1058 and 1388 for the exercise waveforms. For the systolic peaks, the Reynolds numbers are 1639 and 1917 for the rest waveforms and 2800 and 2497 for the exercise waveforms. Results: Results show that during the systolic acceleration, vortices issued from the previous pulsation are pushed out and the flow reattached on the wall. During the systolic deceleration, a main vortex appears in the upper part of the aneurysm; it grows and moves to the center. During the diastole, the vortex sustains itself until the next pulsation for the exercise conditions. For the rest conditions, imposed oscillations during the diastole lead to secondary vortices. Pressure stays relatively constant in the aneurysm following the entrance conditions. Discussion: These results on the flow and pressure repartition agreed with those found in the literature (1-6) validating in a first time our model. The next step of the study is the wall shear stress data exploitation. (Journal of Applied Biomaterials & Biomechanics 2005; 3: 176-83)
THE ROLE OF IMPROVED SOCIAL SUPPORT FOR HEALTHY EATING IN A LIFESTYLE INTERVENTION: TEXERCISE SELECT

Abstract Objective: We examined the measurement and mediating role of social support in dietary intake among participants in Texercise Select, an intervention for improving lifestyle behaviours. Design: Quasi-experimental study. Participants reported their dietary intake, level of social support measured by the new Social Support for Healthy Eating scale, sociodemographics and disease profile. We conducted exploratory factor analysis for scale evaluation and structural equation modelling for mediation analysis to test if changes in dietary-specific social support mediate the relationship between the intervention and changes in dietary intake. Setting: Texas. Participants: Community-dwelling middle-aged and older adults completed a self-reported survey at baseline and 3-month follow-up (intervention group n 211, comparison group n 175). Results: The majority of the sample was aged ≥70 years (mean 74·30, sd 8·54), female (82·1 %) and had at least two chronic conditions (63·5 %). The acceptable levels of reliability and validity of the dietary-specific social support scale were confirmed. Compared with the comparison group, the intervention group reported improved intake of fruit/vegetables and water, and improved dietary-specific social support. Improved dietary-specific social support mediated the association between intervention and change in fruit/vegetable intake, controlling for sociodemographics, number of chronic conditions and geographic residence. About 12 % of intervention effect was mediated by social support. Conclusions: The current study confirms positive intervention effects on healthy eating, and highlights social support relating to dietary behaviours that may be helpful for healthy eating. Future research should investigate additional social support for developing healthy eating behavioural skills.
ANALYSIS OF THE ESSENTIAL OILS OF TWO CULTIVATED BASIL (OCIMUM BASILICUM L.) FROM IRAN

The chemical compositions of the essential oils of Ocimum basilicum L. cv. purple and Ocimum basilicum L. cv. green cultivated in Iran were investigated by GC-MS. Twenty constituents (98.5% of the total oil) were identified in the volatile oil of O. basilicum L. cv. Purple. The main constituents found in the oil were methyl chavicol (52.4%), linalool (20.1%), epi-α-cadinol (5.9%) and trans-α-bergamotene (5.2%). In the volatile oil of O. basilicum L. cv. green, twelve components were characterized representing 99.4% of the total oil. Methyl chavicol (40.5%), geranial (27.6%), neral (18.5%) and caryophyllene oxide (5.4%) were the major components. Methyl chavicol is the dominant constituent in each of the two oils. Although the oil of green basil was characterized by a highccontent (46.1%) of citral (neral and geranial), citral was not detected in the oil of purple basil oil.
A Blockchain-Based Framework for Supply Chain Provenance

The complexity of the electronics supply chain has grown significantly due to the expansion of globalization in the 21st century. Electronic parts are now manufactured, distributed, and sold globally. Ensuring the security and integrity of the supply chain has become extremely challenging due to the widespread infiltration of untrusted hardware, specifically, counterfeit and cloned parts. Especially, the provenance of microelectronics and commercial off-the-shelf (COTS) parts becomes prohibitively difficult to track and calls for immediate solutions. In this paper, we present a non-destructive way of ensuring the traceability of electronic parts in the supply chain. We have implemented a blockchain-based framework, which helps to track and trace every chip while they are circulating in the supply chain. The proposed framework is built upon a permissioned blockchain. Hyperledger is used for implementing this framework. A detailed analysis is carried out to present the feasibility of our proposed approach.
The Adverse Events in Lumbar Dynamic Stabilization: a Prospective Case Series

BACKGROUND: We aimed to evaluate the complication rate in lumbar dynamic stabilization surgery for back pain in situations where conventional rigid implants could have been employed, with a follow-up of at least five years. METHODS AND FINDINGS: All patients who underwent semi-rigid lumbar spine fixation with the dynamic system consecutively between 2002 and 2007 in our departmentwere included. Minimum follow up period was 5. Adverse events and reoperations were registered for analysis. In the study period, 144 patients were treated with the dynamic system and studied. Three screws were badly positioned. There were two (1,39%) infections, with surgical cleaning necessary in one case. The late complications included a radiolucency signal in 22 screws (2,86%) and four broken screws (0,52%) out of 770 screws.Nineteen patients (20,13%) needed reoperation due to pain or screw associated problems. Three (2,08%) of these cases received additional treatment due to segmental kyphosis, five (3,47%) due to flat back, five (3,47%) due to adjacent level stenosis, 4 (2,7%) due to lumbar pain complaints, and two (1,39%) due to a broken screw. CONCLUSIONS: The lumbar dynamic stabilization system is an option for the treatment of degenerative spinal diseases. However it is not free of adverse events and had rates of implant failure, complications, and reoperations similar to those described on literature with rigid systems.
Predicting faults in high performance computing systems: an in-depth survey of the state-of-the-practice

As we near exascale, resilience remains a major technical hurdle. Any technique with the goal of achieving resilience suffers from having to be reactive, as failures can appear at any time. A wide body of research aims at predicting failures, i.e., forecasting failures so that evasive actions can be taken while the system is still fully functional, which has the benefit of giving insight into the global system state. This research area has grown very diverse with a large number of approaches, yet is currently poorly classified, making it hard to understand the impact and coverage of existing work. In this paper, we perform an extensive survey of existing literature in failure prediction by analyzing and comparing more than 30 different failure prediction approaches. We develop a taxonomy, which aids in categorizing the methods, and we show how this can help us to understand the state-of-the-practice of this field and to identify opportunities, gaps as well as future work.
HyperX topology: first at-scale implementation and comparison to the fat-tree

The de-facto standard topology for modern HPC systems and data-centers are Folded Clos networks, commonly known as Fat-Trees. The number of network endpoints in these systems is steadily increasing. The switch radix increase is not keeping up, forcing an increased path length in these multi-level trees that will limit gains for latency-sensitive applications. Additionally, today's Fat-Trees force the extensive use of active optical cables which carries a prohibitive cost-structure at scale. To tackle these issues, researchers proposed various low-diameter topologies, such as Dragonfly. Another novel, but only theoretically studied, option is the HyperX. We built the world's first 3 Pflop/s supercomputer with two separate networks, a 3--level Fat-Tree and a 12×8 HyperX. This dual-plane system allows us to perform a side-by-side comparison using a broad set of benchmarks. We show that the HyperX, together with our novel communication pattern-aware routing, can challenge the performance of, or even outperform, traditional Fat-Trees.
Admission Policy of Medical Colleges: Evaluating Validity of Admission Test in Khyber Pakhtunkhwa, Pakistan

The purpose of this study was to examine the predictive validity of the entry test conducted by the Educational Testing and Evaluation Agency (ETEA) for admission to all Medical Colleges of Khyber Pakhtunkhwa (KP) province of Pakistan. The methodology of this study used a follow up of performance of 2944 students (Male = 1975, Female =968) attending, 4 Medical colleges of KP from entrance level to graduation enrolled in the sessions 2000-2005. The relation between the predictors (FSc, entry test scores and the overall merit) and the criterion (academic achievements / scores of students from first to final year in Medical colleges) were analyzed using the statistical techniques of Mean, Correlations and Regression analysis. The results of the study showed that all the predictors (FSc, entry test and overall merit scores) were significantly associated with the five year examinations scores during their study at the aforesaid four Medical colleges in all six cohorts. However, the stepwise regression analysis revealed that among the predictors, FSc was found the best predictor, followed by the overall merit and entry test. Summary of suggestions are given for improvement of the admission criteria by incorporating additional predictors, such as interview and test of non-cognitive domains of the students to improve admission policy of Medical colleges for academic excellence.
The Baby-Friendly Hospital Initiative in US Hospitals:

To combat the worldwide decline in breastfeeding rates, the World Health Organization and UNICEF launched the Baby-Friendly Hospital Initiative in 1991. Using the Ten Steps to Breastfeeding Success, hospitals are improving their policies and procedures that will ensure a successful start to breastfeeding. Despite the overwhelming research evidence on the efficacy of breastmilk and breastfeeding, hospitals have difficulty implementing all of the steps to optimally support the initiation of breastfeeding. This article is an overview of the Baby-Friendly Hospital Initiative in the United States.
Political Responses to Dam-Induced Resettlement in Northern Uplands Vietnam

Dam-induced resettlers in Vietnam manifest their responses and resistances in many different ways.This is a multiple response that expresses itself at many different levels and is spatio-temporally contingent. These actors can be individuals, families, groups of people or communities. Drawing on fieldwork in resettlement sites of the So’n La hydropower dam in the north-west of Vietnam, this paper explores how political responses and resistance among So’n La’s resettlers were produced through resettlement conditions. It examines intensive and violent struggles over the land and resources surrounding dam sites, and aims to understand why rural disputes in resettlement sites were often between villagers rather than with the state institutions and local authorities.
Enhancing MR Image Reconstruction Using Block Dictionary Learning

While representing a class of signals in term of sparsifying transform, it is better to use a adapted learned dictionary instead of using a predefined dictionary as proposed in the recent literature. With this improved method, one can represent the sparsest representation for the given set of signals. In order to ease the approximation, atoms of the learned dictionary can further be grouped together to make blocks inside the dictionary that act as a union of small number of subspaces. The block structure of a dictionary can be learned by exploiting the latent structure of the desired signals. Such type of block dictionary leads to block sparse representation of the given signals which can be good for reconstruction of the medical images. In this article, we suggest a framework for MRI reconstruction based upon block sparsifying transform (dictionary). Our technique develops automatic detection of underlying block structure of MR images given maximum block sizes. This is done by iteratively alternating between updating the block structure of the sparsifying transform (dictionary) and block-sparse representation of the MR images. Empirically it is shown that block-sparse representation performs better for recovery of the given MR image with minimum errors.
Harassment in Social Virtual Reality

In immersive virtual reality (VR) environments, experiences of harassment can be exacerbated by features such as synchronous voice chat, heightened feelings of presence and embodiment, and avatar movements that can feel like violations of personal space (such as simulated touching or grabbing). Simultaneously, efforts to govern these developing spaces are made more complex by the distributed landscape of virtual reality applications and the dynamic nature of local community norms. To better understand this nascent social and psychological environment, we interviewed VR users (n=25) about their experiences with harassment, abuse, and discomfort in social VR. We find that users' definitions of what constitutes online harassment are subjective and highly personal, which poses significant challenges for the enforcement of platform- or application-level policies. We also find that embodiment and presence in VR spaces make harassment feel more intense, while ephemerality and non-standardized application controls make it difficult to escape or report unwanted behavior. Finally, we find that shared norms for appropriate behavior in social VR are still emergent, and that users distinguish between newcomers who unknowingly violate expectations for appropriate behavior and those users who aim to cause intentional harm. We draw from social norms theory to help explain why norm formation is particularly challenging in virtual reality environments, and we discuss the implications of our findings for the top-down governance of online communities by platforms. We conclude by recommending alternative strategies for community governance.
Sedum lipingense (Crassulaceae) identifying a new stonecrop species in SE Guizhou, China, based on morphological and molecular evidence

Abstract We describe and illustrate Sedum lipingense (Crassulaceae), a new species of stonecrop found in the limestone areas of SE Guizhou, China. Based on the presence of adaxially gibbous carpels and follicles, this taxon belongs to sect. Sedum S.H. Fu. The new species superficially resembles S. subtile Miquel and S. bulbiferum Makino but differs from these two taxa in its development of a basal leaf rosette during florescence. The nrDNA internal transcribed spacer (ITS) sequences also support the claim that this plant is a new species in the Sedum genus.
Pathological Skin Picking: Case Presentation and Review of the Literature

Pathological skin picking is a condition in which patients induce skin lesions through repetitive, compulsive excoriations of normal skin or skin with minor surface irregularities and they admit their role in the production of the lesions, but are unable to stop their behavior. Psychiatric comorbidities most often associated with skin picking include obsessive-compulsive disorder (OCD), anxiety disorders, mood disorders, body dysmorphic disorders, trichotillomania and compulsive-buying disorder. We report the case of a 17 year old female patient who addressed the dermatology department of our hospital with an eruption consisting of erythematous papules and plaques. The local examination revealed several clues of paramount importance in drawing the final conclusion and the psychiatric examination helped establish the diagnosis of pathological skin picking in a patient with obsessivecompulsive disorder. JMMS 2015, 2(1): 7888. Case report Pathological skin picking