ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Evaluation of Serum Selenium Level, Quality of Sleep, and Life in Pregnant Women With Restless Legs Syndrome

Restless legs syndrome (RLS) is a multifactorial disease that patients describe as restlessness in their legs, which creates a desire to move their legs, especially in the evening and at rest. This study aims to investigate serum selenium levels in RLS and document the quality of sleep and life in pregnant women with RLS according to International Restless Legs Syndrome Study Group (IRLSSG) diagnostic criteria. Thirty-eight moderate to severe RLS patients with pregnancy at 38-41 weeks of gestation were determined as the case group, and 38 women with healthy gestational age-matched pregnancies were determined as the control group. Maternal serum selenium levels were compared between the RLS case group and the group of healthy pregnant women at the time of hospitalization for delivery. The Pittsburgh Sleep Quality Index (PSQI) and The Quality of Life Scale (SF-36) were applied to the patients. The mean selenium level (µg/L) was statistically significantly lower in the RLS group (53.24 ± 10.28), compared to the healthy pregnant population (58.95 ± 11.29) (P = 0.024). The PSQI score was significantly higher in the RLS case group (P = 0.033). Especially sleep efficiency (P = 0.018) and daytime dysfunction (P = 0.032) sub-parameters were affected. The SF-36 questionnaire was examined and a significant difference was detected between the two groups in role emotional (P = 0.026), social functioning (P = 0.023), and body pain (P = 0.044) sub-parameters. Serum selenium level was significantly lower, the sleep quality of the RLS group was impaired and their quality of life was affected in pregnant women with RLS. Further studies are needed to determine whether selenium replacement in pregnant women with RLS is feasible or not.
Epipolar Geometry Estimation for Urban Scenes with Repetitive Structures

Algorithms for the estimation of epipolar geometry from a pair of images have been very successful in dealing with challenging wide baseline images. In this paper the problem of scenes with repeated structures is addressed, dealing with the common case where the overlap between the images consists mainly of facades of a building. These facades may contain many repeated structures that can not be matched locally, causing state-of-the-art algorithms to fail. Assuming that the repeated structures lie on a planar surface in an ordered fashion the goal is to match them. Our algorithm first rectifies the images such that the facade is fronto-parallel. It then clusters similar features in each of the two images and matches the clusters. From them a set of hypothesized homographies of the facade is generated, using local groups of features. For each homography the epipole is recovered, yielding a fundamental matrix. For the best solution, it then decides whether the fundamental matrix has been recovered reliably and, if not, returns only the homography. The algorithm has been tested on a large number of challenging image pairs of buildings from the benchmark ZuBuD database, outperforming several state-of-the-art algorithms.
Complete and Interpretable Conformance Checking of Business Processes

This article presents a method for checking the conformance between an event log capturing the actual execution of a business process, and a model capturing its expected or normative execution. Given a process model and an event log, the method returns a set of statements in natural language describing the behavior allowed by the model but not observed in the log and vice versa. The method relies on a unified representation of process models and event logs based on a well-known model of concurrency, namely event structures. Specifically, the problem of conformance checking is approached by converting the event log into an event structure, converting the process model into another event structure, and aligning the two event structures via an error-correcting synchronized product. Each difference detected in the synchronized product is then verbalized as a natural language statement. An empirical evaluation shows that the proposed method can handle real datasets and produces more concise and higher-level difference descriptions than state-of-the-art conformance checking methods. In a survey designed according to the technology acceptance model, practitioners showed a preference towards the proposed method with respect to a state-of-the-art baseline.
Murujuga Rockshelter: First evidence for Pleistocene occupation on the Burrup Peninsula

The Dampier Archipelago (including the Burrup Peninsula), now generally known as Murujuga, is a significant rock art province in north-western Australia which documents the transition of an arid maritime cultural landscape through time. This archipelago of 42 islands has only existed since the mid-Holocene, when the sea level rose to its current height. Previous excavations across Murujuga have demonstrated Holocene occupation sequences, but the highly weathered rock art depicting extinct fauna and early styles suggests a far greater age for occupation and rock art production. The archaeological record from the Pilbara and Carnarvon bioregions demonstrates human occupation through 50,000 years of environmental change. While the regional prehistory and engraved art suggests that people were producing art here since they first occupied these arid rocky slopes, no clear evidence of Pleistocene occupation has been found across Murujuga, until now. Murujuga Rockshelter (MR1) reveals that occupation of this shelter began late in the Last Glacial Maximum, when the Murujuga Ranges would likely have served as one of a network of Pilbara refugia. In the terminal Pleistocene/Early Holocene, and likely in tandem with the last stages of sea level rise, the proportion of artefacts manufactured on exotic lithologies declines sharply, revealing a changed foraging range and increasing territorial focus in this period of increased demographic packing as the coastline advanced. Abandonment of the site as early as 7000 years ago is indicated, suggesting a changing resource focus to the increasingly proximal coastline. This paper provides the first evidence of how Aboriginal people adapted their Pleistocene procurement strategies in response to significant environmental and landscape changes in Murujuga. This changing logistical strategy provides an explanation for the increased rock art production in the terminal Pleistocene/Early Holocene. (C) 2018 Elsevier Ltd. All rights reserved.
Management of Symptomatic Elastofibroma Dorsi: A Case Report and Literature Review

Elastofibroma dorsi (ED) is a rare tumor that most often occurs in the subscapular and infrascapular region between the thoracic wall, serratus anterior, and latissimus dorsi muscle. Based on a review of the literature, ED has been deemed an extremely rare entity. However, the incidence may be greater and is difficult to determine as the majority of ED being asymptomatic and therefore undiagnosed. Surgical excision is commonly performed when patients present with pain associated with ED. This being the case, it is important to evaluate the factors contributing to the pain seen in these patients and to evaluate the risks vs benefits of intervening in symptomatic ED patients who present for possible surgical intervention. We herein report a case of bilateral ED, situated in the upper back with only the right side being symptomatic in a 56-year-old male laborer. Due to pain in the right upper back, the patient underwent surgical removal of the ED. The postoperative course was uneventful and the patient had an excellent recovery. A review of the literature showed no correlation between pain on presentation and tumor size or location. Major complications of treating these patients include seroma or hematoma formation which according to the literature can be avoided using postoperative tube drainage and compressing bandages.
Periconceptional folic acid fortification for the risk of gestational hypertension and pre-eclampsia: a meta-analysis of prospective studies

Published literatures report controversial results about the association of folic acid-containing multivitamins with gestational hypertension and pre-eclampsia. A comprehensive search was performed to identify related prospective studies to assess the effect of folic acid fortification on gestational hypertension and pre-eclampsia. The Q test and I(2) statistic were used to examine between-study heterogeneity. Fixed or random effects models were selected based on study heterogeneity. A funnel plot and modified Egger linear regression test were used to estimate publication bias. Eleven studies conformed to the criteria. Pooled results indicated that folic acid fortification alone was not associated with the occurrence of gestational hypertension [relative risk (RR) = 1.03, 95% confidence interval (CI): 0.98-1.09, P = 0.267] and pre-eclampsia (RR = 0.99, 95% CI: 0.90-1.08, P = 0.738). However, supplementation of multivitamins containing folic acid could prevent gestational hypertension (RR = 0.57, 95% CI: 0.43-0.76, P < 0.001) and pre-eclampsia (RR = 0.64, 95% CI: 0.48-0.84, P = 0.001). The difference between folic acid fortification alone and multivitamins containing folic acid was significant. This meta-analysis suggests that periconceptional multivitamin supplementation with appropriate dose, not folic acid alone, is an appropriate recommendation for pregnant women. The effect should be further confirmed by conducting large-scale randomised controlled trials.
State-of-the-Art Different Evolution Algorithms Selection and Modifications for Difficult Functions

Differential evolution (DE) is powerful for global optimization problems and constantly improved. However, satisfactory solutions of some functions can be hardly obtained so far. According to the experimental data of many state-of-the-art DE algorithms from the literature and our pre-experiment, solutions for F12 among the 25 CEC 2005 benchmark functions have an outstanding large mean error to the optimal value, while solutions for F15, F21, and F23-F24 all fall into one or several values. It can be seen that, in the involved state-of-the-art DE algorithms, JADE obtains the best solutions for F15, while EDEV obtains the best solutions for F12. In this paper, we modify the two DE algorithms for the two functions, respectively. Experimental results show that our modifications leads to significant improvement on solutions. As a result, solutions for these two functions are improved to an unprecedented degree.
MIL-88B(Fe)/cellulose microspheres as sorbent for the fully automated dispersive pipette extraction towards trace sulfonamides in milk samples prior to UPLC-MS/MS analysis

MIL-88B(Fe)/cellulose microspheres (MIL-88B(Fe)/CMs) were characterized by the means of SEM, XRD, TGA and N2 adsorption-desorption test. The composite was used as the sorbent for fully automated dispersive pipette extraction (DPX), after introducing CMs as the support, the loss of MIL-88B(Fe) in DPX was avoided. Coupled to UPLC-MS/MS, the proposed method was employed for the analysis of trace sulfonamides (SAs) in milk samples. The parameters affecting the extraction efficiency, including pH of sample solution, the rate of aspiration and dispense, amount of the adsorbent, type and volume of elution solvent were optimized. Under the optimal conditions, good linearity (r ≥ 0.9978 for five analytes), high sensitivity (limit of detection: 0.00660-0.0136 μg kg-1) and satisfactory recovery (69.8%-100.9%) were achieved. Furthermore, the sorbent showed desirable reusability over eight extraction cycles. Compared with other methods for the pretreatment of SAs, the proposed method showed advantages of high sensitivity, less sorbent consumption, environmental friendliness and automation, providing a promising protocol for sample preparation.
A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending

Credit scoring is an efficient tool in handling the information asymmetry of peer-to-peer (P2P) lending. Credit scoring models are typically built only with the accepted applicants, which may cause sample bias and further hinder the predictive performances. Reject inference methods utilize the information contained in the rejected samples by inferring their potential status and incorporate them with the accepted samples. In this study, we propose a novel reject inference model (i.e., OD-LightGBM) that combines an outlier detection technique (i.e., isolation forest) and a state-of-the-art gradient boosting decision tree algorithm. The model is evaluated on two real-world P2P lending datasets, and the results of predictive performances demonstrate that our proposed model significantly outperforms the benchmarks in terms of discriminative capability. The analysis of computational cost shows the great potential of our proposed model in handling large-sized problems. The proposed framework remains robust under different parameter settings and provides stable results given various combinations of outlier detection algorithms and classifiers.
Autonomous solar powered membrane distillation systems: state of the art

Being a basic element for the every existence of any form of life on earth, water is one of the most abundant resources on earth, covering three-fourth of the planet's surface. However, there is a shortage of freshwater in many areas worldwide. Desalination seems to be the most suitable solution. Major conventional desalination processes, such as distillation and reverse osmosis, consume a large amount of energy derived from oil and natural gas as heat and electricity, which is responsible for harmful CO2 emission. Solar desalination has emerged as a promising renewable energy-powered technology for producing freshwater. Solar membrane distillation (MD) is the best option in decentralized regions with scattered population and lack of infrastructures jointly with hard climate conditions make it difficult or at least not cost-effective to scale down bigger desalination technologies, such as RO or MSF, designed for very big water productions. Moreover, MD compared to conventional thermal desalination is less demanding regarding vapor space and building material's quality leading to potential lower construction costs. The aim of this paper is to present the state-of-the-art review of developments in solar MD technology. In this review, membrane configurations, module design, and recent applications of this technology were discussed in detail.
3D-printed conductive static mixers enable all-vanadium redox flow battery using slurry electrodes

State-of-the-art all-vanadium redox flow batteries employ porous carbonaceous materials as electrodes. The battery cells possess non-scalable fixed electrodes inserted into a cell stack. In contrast, a conductive particle network dispersed in the electrolyte, known as slurry electrode, may be beneficial for a scalable redox flow battery. In this work, slurry electrodes are successfully introduced to an all-vanadium redox flow battery. Activated carbon and graphite powder particles are dispersed up to 20 wt% in the vanadium electrolyte and charge-discharge behavior is inspected via polarization studies. Graphite powder slurry is superior over activated carbon with a polarization behavior closer to the standard graphite felt electrodes. 3D-printed conductive static mixers introduced to the slurry channel improve the charge transfer via intensified slurry mixing and increased surface area. Consequently, a significant increase in the coulombic efficiency up to 95% and energy efficiency up to 65% is obtained. Our results show that slurry electrodes supported by conductive static mixers can be competitive to state-of-the-art electrodes yielding an additional degree of freedom in battery design. Research into carbon properties (particle size, internal surface area, pore size distribution) tailored to the electrolyte system and optimization of the mixer geometry may yield even better battery properties.
Pension Plan Types and Social Security Knowledge: New Survey Evidence

Knowledge of the Social Security Old-Age and Survivors Insurance program affects people's work, consumption, and savings decisions before retirement and in turn impacts financial well-being in retirement. This study examines whether the type of employer-sponsored pension is associated with varying levels of Social Security knowledge using data from the Understanding America Study. Results indicate that people with various pension types are consistently more knowledgeable about disability benefits, age adjustment, claiming upon retirement, and spousal benefits, relative to pensionless individuals. Interventions to enhance Social Security knowledge may benefit from targeting the most financially vulnerable individuals, particularly women without a pension, for enhanced retirement security.
SEARCH PATHS AND SOLUTIONS FOR NEW FORMS OF MUSEUM EXHIBITION LIGHTING

The changed design status of exhibition environment electrical lighting has become the driver of innovative transformations and development of museum exhibitions. Light has become a real form-making and space-modelling tool. Formation of specific museum experience of lighting remains an interdisciplinary problem unifying technical aspects measured by quantitative indicators and qualitative criteria including aesthetical, psychological, and physiological aspects, forming the atmosphere of each exhibit. Museum exhibition lighting is designed using the conceptual design method, which includes conventional design tools and innovative digital technology. The conceptual design method expresses itself in interdisciplinary, synthetic and synaesthesia forms. Educational and art projects of the Stroganov Academy have accumulated a significant experience in solving different problems of museum environment light design on associative conceptual basis. A lighting system becomes: -An object of traditional art design; -A light design exhibit; An interactive light-and-colour environment of a museum; -A synthetic environment of a park museum; -A basis of new art styles like light art and science art, media installations and 3D mapping; -Creator of a new image of a digital museum, etc. As a result, light becomes a link connecting the entire humanitarian system of a museum: its scientific, historical, educational, aesthetical and engineering components. Interdisciplinary forms of light functioning (from conventional light design to digital media and interactive projects) are limitless and will grow providing the museum environment with more new forms of information presentation and perception constantly balancing between easel and applied versions.
Analog-to-Digital Converter Design Exploration for Compute-in-Memory Accelerators

This article comprehensively investigates analog-to-digital converter (ADC) design for compute-in-memory array. The authors show that 6-bit ADC precision is sufficient to guarantee no loss of accuracy for large arrays, while achieving the best tradeoff between hardware performance and area overhead, compared to prior state-of-the-art designs.
Fabrication and characterization of a succinyl mung bean protein and arabic gum complex coacervate for curcumin encapsulation

The present study developed a novel complex coacervate based on succinyl mung bean protein (SMBP) and gum arabic (GA) to encapsulate curcumin. The optimum pH and succinylprotein/polysaccharide ratio for complex coacervation were 3.0 and 1:1, respectively, measured by turbidity evaluation. Fluorescence spectroscopy depicted that the curcumin was loaded in the hydrophobic core of SMBP/GA. The evaluated FTIR and XRD showed that the encapsulation of curcumin in the complex coacervate hydrophobic core was successful, followed by minor changes in SMBP conformation caused by the succinylation process. The zeta potential showed that the succinylation of MBP led to a decrease in the zeta potential of SMBP and confirmed that the SMBP/GA was produced successfully at pH 3.0. The EE and LA of c-SMBP/GA were 99.79 ± 0.03 % and 24.94 ± 0.05 μg·mg-1, respectively, which were significant. SMBP showed enhanced antioxidant activity compared with MBP, and c-MBP/GA showed significant antioxidant activity measured by ABTS and DPPH radical scavenging assays. SMBP is a biopolymer that can be used to encapsulate bioactive compounds like curcumin and shows enhanced antioxidant activity. The c-SMBP/GA is a promising tool for encapsulating curcumin in food matrices with enhanced dispersity characteristics and release behavior.
Spatiotemporally Explicit Mapping of Built Environment Stocks Reveals Two Centuries of Urban Development in a Fairytale City, Odense, Denmark

The urban built environment stocks such as buildings and infrastructure provide essential services to urban residents, and their spatiotemporal dynamics are key to the circular and low-carbon transition of cities. However, spatiotemporally explicit characterization of urban built environment stocks remains hitherto limited, and previous studies on fine-grained mapping of built environment stocks often focus on an urban area without consideration of temporal dynamics. Here, we combined the emerging geospatial data and historical maps to quantify the spatially and temporally refined stocks of buildings and infrastructure and developed a novel indexing method to track the construction, demolition, and renovation for each building across various historical snapshots, with a case study of Odense, Denmark, from 1810 to 2018. We show that built environment stock in Odense increased from 80 t/cap in 1810 to 279 t/cap in 2018. Their dynamics appear overall in line with urban development of Odense over the past two centuries and well reflect the combined effects of industrialization, infrastructure development, socioeconomic characteristics, and policy interventions. Such spatiotemporally explicit stock mapping offers a physical and resource perspective for measuring urbanization and provides the public and government insight into urban spatial planning and related resource, waste, and climate strategies.
F-TIMER: Fast Tensor Image Morphing for Elastic Registration

We propose a novel diffusion tensor imaging (DTI) registration algorithm, called fast tensor image morphing for elastic registration (F-TIMER). F-TIMER leverages multiscale tensor regional distributions and local boundaries for hierarchically driving deformable matching of tensor image volumes. Registration is achieved by utilizing a set of automatically determined structural landmarks, via solving a soft correspondence problem. Based on the estimated correspondences, thin-plate splines are employed to generate a smooth, topology preserving, and dense transformation, and to avoid arbitrary mapping of nonlandmark voxels. To mitigate the problem of local minima, which is common in the estimation of high dimensional transformations, we employ a hierarchical strategy where a small subset of voxels with more distinctive attribute vectors are first deployed as landmarks to estimate a relatively robust low-degrees-of-freedom transformation. As the registration progresses, an increasing number of voxels are permitted to participate in refining the correspondence matching. A scheme as such allows less conservative progression of the correspondence matching towards the optimal solution, and hence results in a faster matching speed. Compared with its predecessor TIMER, which has been shown to outperform state-of-the-art algorithms, experimental results indicate that F-TIMER is capable of achieving comparable accuracy at only a fraction of the computation cost.
Aerobic granular sludge - state of the art

In September 2006, preliminary to the IWA biofilm conference, a second workshop about aerobic granular sludge was held in Delft, The Netherlands, of which a summary of the discussion outcomes is given in this paper. The definition of aerobic granular sludge was discussed and complemented with a few additional demands, Further topics were formation and morphology of aerobic granular sludge, modelling and use of the aerobic granular sludge in practice.