ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
The Benefits of Using State-Of-The-Art Digital Soil Properties Maps to Improve the Modeling of Soil Moisture in Land Surface Models

This study assesses the added value of using emerging maps of soil properties to improve surface soil moisture simulations using the HydroBlocks land surface model with different soil hydraulic parameterization schemes. Simulations were run at an hourly 30-m resolution between 2012 and 2019 and evaluated against U.S. Climate Reference Network measurements. The results show that state-of-the-art soil properties maps (POLARIS and SoilGrids250m V2.0) improve the accuracy of simulated surface soil moisture when compared to the STATSGO-derived CONUS-SOIL map. Contemporary pedotransfer functions (multi-linear regression and Artificial Neural Networks-based) also improve model performance in comparison to the lookup table-derived soil parameterization schemes. The addition of vertical heterogeneity to the soil properties further improves the mean Kling-Gupta efficiency by 0.04 and lowers the mean Root mean square error by 0.003 over the CONUS. This study demonstrates that land surface modeling can be improved by using state-of-the-art maps of soil properties, accounting for the vertical heterogeneity of soils, and advancing the use of contemporary pedotransfer functions.
A lightweight authentication scheme with privacy preservation for vehicular networks

The vehicular ad-hoc network relies on wireless communication, thus exposing security and privacy-related issues. The primary security requirements in a vehicular network are vehicle authentication, message integrity, and privacy preservation. Most of the existing state-of-the-art security schemes heavily relied on infrastructural entities such as roadside units and trusted authorities to achieve authentication. Typically, frequent authentication involving infrastructural entities increases communication overhead. Besides, the existing solutions assume the usage of ideal tamper-proof devices for storing sensitive data, which is prone to physical and cloning attacks. In this context, we present a Physically Unclonable Function based Lightweight Authentication Scheme with privacy preservation for vehicle-to-vehicle communication in the vehicular network. Physically unclonable function adds an extra layer of security from cloning and physical attacks. The proposed method uses a two-tier approach consisting of trusted authority and vehicles for achieving authentication using lightweight bitwise XOR operations and one-way hash functions. The proposed scheme reduces the burden on infrastructural entities by performing authentication through vehicle-to-vehicle communication. Compared with state-of-the-art schemes, the proposed scheme's security and performance analysis demonstrates its effectiveness in meeting various security requirements while ensuring resilience against various known attacks and competitive communication and computation cost.
A Dilemma of Self-interest vs. Ethical Responsibilities in Political Insider Trading

Political insider trading has brought substantial attention to ethical considerations in the academic literature. While the Stop Trading on Congressional Knowledge (STOCK) Act prohibits members of Congress and their staff from leveraging non-public information to make investment decisions, political insider trading still prevails. We discuss political ethics and social contract theory to re-engage the debate on whether political insider trading is unethical and raises the issues of conflict of interest and social distrust. Empirically, using a novel measure of information risk, we find that senator trades are associated with substantially high levels of information asymmetry. Moreover, based on inside political information, senators earn significant market-adjusted returns (4.9% over 3 months). Thus, our results do not support the prediction made by social contract theory and thereby provide a potential resolution to the ongoing debate on banning stock trading for members of Congress.
Examining the perceived stress and body image in burn patients: A cross-sectional study

This study aimed to examine the perceived stress and body image in burn patients and the relationship between these two variables. This is a descriptive and cross-sectional study. The study included total of 144 patients who had burn injuries, received treatment in a research and training hospital and were scheduled to be discharged. The data were collected prospectively by the researchers, using descriptive methods, Kruskal Wallis test, paired samples t test, and Pearson's correlation analysis. Of the patients, 59% were between the ages of 18 and 35 years, 68.1% were male, 65.3% had second-degree burns, 77.1% had burn surfaces ranging between 10% and 20% of their body, and 54.9% had autograft surgery. The burn patients aged 51 years and over had higher perceived stress than younger patients, and the difference between them was statistically significant (P < 0.05). As the percentage of burn surface increased, the perceived stress increased, and the perceived body image weakened (P < 0.05). The burn patients with autograft surgery had lower perceived stress and higher perceived body image than those without autograft surgery, and the difference between them was statistically significant (P < 0.01). This study found an inverse relationship between perceived stress and body image in burn patients, which was affected by the percentage of burn surface and autograft surgery. Relevant interventions are suggested to increase perceived body image in burn patients and reduce their perceived stress.
PuVAE: A Variational Autoencoder to Purify Adversarial Examples

Deep neural networks are widely used and exhibit excellent performance in many areas. However, they are vulnerable to adversarial attacks that compromise networks at inference time by applying elaborately designed perturbations to input data. Although several defense methods have been proposed to address specific attacks, other types of attacks can circumvent these defense mechanisms. Therefore, we propose Purifying Variational AutoEncoder (PuVAE), a method to purify adversarial examples. The proposed method eliminates an adversarial perturbation by projecting an adversarial example on the manifold of each class and determining the closest projection as a purified sample. We experimentally illustrate the robustness of PuVAE against various attack methods without any prior knowledge about the attacks. In our experiments, the proposed method exhibits performances that are competitive with state-of-the-art defense methods, and the inference time is approximately 130 times faster than that of Defense-GAN which is a state-of-the art purifier method.
Open internet gateways to archives of media art

The EU-projects OASIS Archive and GAMA aimed to develop systems for the common presentation of distributed Media Art works, independent of their location. The paper presents the technical solutions implemented during projects, and contextualise the work in the related media art scene. In order to ensure the preservation and availability (sustainability) of cultural heritage, the metadata systems of all participating institutions were interlinked and they can now be accessed by individual users (both researchers and general public) through an on-line interface. The developed multimedia archive servers enable the exchange of metadata within a distributed system and enable various play-out sources and media. The decentralised architecture, where data can remain at their physical location and are linked at the metadata level, is the key concept of the presented system.
Image-guided fine-needle aspiration cytology or core biopsy - A key to definitive diagnosis of tuberculous mastitis

Despite advances in the treatment, tuberculosis (TB) is still a global health problem. The diagnosis of extrapulmonary TB in their primary form is very challenging. Breast TB is very uncommon and accounts for &lt; 0.1% of all breast lesions. Due to rarity of the disease and difficulty in diagnosis, we report a case of a 40-year-old female who had a hard lump in the right breast. Full-field digital mammography suggested the lesion as American College of Radiology Breast Imaging Reporting and Data System-5 (ACR BIRADS-5) (highly suggestive of carcinoma). Histopathological examination of multiple cores of the breast tissue showed lymphocytic inflammatory infiltrates confined to breast lobules. Fungal stains and Ziehl-Neelsen (ZN) stain were negative. A diagnosis of chronic mastitis with the possibility of autoimmune lobular mastitis was suggested. Subsequent image-guided fine needle aspiration smears showed epithelioid granulomas mixed with lymphocytes. Areas of amorphous-to-granular eosinophilic material (caseous necrosis) were seen at places. ZN stain showed acid-fast bacilli. A diagnosis of tuberculous mastitis was given.
Exploring Convolution Neural Network for Branch Prediction

Recently, there have been significant advances in deep neural networks (DNNs) and they have shown distinctive performance in speech recognition, natural language processing, and image recognition. In this paper, we explore DNNs to push the limit for branch prediction. We treat branch prediction as a classification problem and employ both deep convolutional neural networks (CNNs), ranging from LeNet to ResNet-50, and deep belief network (DBN) for branch prediction. We compare the effectiveness of DNNs with the state-of-the-art branch predictors, including the perceptron, our prior work, Multi-poTAGE+SC, and MTAGE+SC branch predictors. The last two are the most recent winners of championship branch prediction (CBP) contests. Several interesting observations emerged from our study. First, for branch prediction, the DNNs outperform the perceptron model as high as 60-80%. Second, we analyze the impact of the depth of CNNs (i.e., number of convolutional layers and pooling layers) on the misprediction rates. The results confirm that deeper CNN structures can lead to lower misprediction rates. Third, the DBN could outperform our prior work, but not outperform the state-of-the-art TAGE-like branch predictor; the ResNet-50 could not only outperform our prior work, but also the Multi-poTAGE+SC and MTAGE+SC.
Exercise Dependence in Practitioners of Martial Arts and Combat Sports

Background: The aim of this study was to analyse prevalence exercise dependence among practicing martial arts and combat sports. Methods: There were 166 respondents. The Exercise Dependence Scale-EDS was used. Results: The martial arts practitioners obtained a lower result in the 'intention effects' (p < 0.05; eta(2) = 0.03), 'continuance' (p = 0.04; eta(2) = 0.03), 'lack of control' (p < 0.05; eta(2) = 0.03), 'reduction in other activities' (p = 0.04; eta(2) = 0.03), and 'total score' (p = 0.04; eta(2) = 0.03) than the combat sports athletes. Both the respondents with a high training rank (p < 0.05) and subjects with above 5 years of training experience (p = 0.03; eta(2) = 0.03) achieved the higher mean in the 'time' subscale. Women obtained lower results in the case of 'tolerance' (p = 0.04; eta(2) = 0.04). The regression coefficient indicates that the higher respondent's age, the lower total score she/he will achieve in the EDS. Conclusions: The findings have practical implications for identifying subjects 'at-risk for exercise dependence' symptoms, and may aid coaches and individuals in the implementation of a prevention program, to seek suitable support.
Nursing Students and the Human Body: Application of an Ethics Pilot Project

This manuscript offers findings from a pilot project which prepares nursing students for embodied professional practice through the lens of ethics. Four undergraduate nursing students were mentored by two nursing faculty in the Dundon-Berchtold Institute Faculty Fellowship Program in the Application of Ethics through an exploration on the ethics of embodiment using an arts pedagogy across one academic year. Inspired by the intersection of nature and health, this project explores the impact of an arts-integrated pedagogy on the human body. The findings from this project provide a natural first step for nursing students to consider multiple interpretations of the human body and to facilitate the students' development of an embodied ethical practice that is perceptive, empathic, and attuned to themselves as natural beings as well as diverse individuals and populations. The findings from this pilot project presents a pivotal opportunity to guide future nursing curricular development toward holistic, nature-inspired, and mindful-based interventions in order to increase resilience, decrease risk factors of compassion fatigue and burnout, and support nursing students to develop strength-based skills to use in their professional nursing practice.
Useful signs for the assessment of vascular rings on cross-sectional imaging

Vascular rings can be challenging to diagnose because they can contain atretic portions not detectable with current imaging modalities. In these cases, where the compressed airway and esophagus are not encircled by patent, opacified vessels, there are useful secondary signs that should be considered and should raise suspicion for the presence of a vascular ring. These signs include a double aortic arch, the four-vessel sign, the distorted subclavian artery sign, a diverticulum of Kommerell, a ductal diverticulum contralateral to the aortic arch, and a descending aorta contralateral to the arch or circumflex aorta. If none of these findings is present, a ring can be excluded with confidence.
Radiological risk estimation from indoor radon, thoron, and their progeny concentrations using nuclear track detectors

In this paper, we report the results of seasonal variations of indoor radon and thoron concentrations, equilibrium factors for gas progeny, and radiological risks to dwellers in the hilly area of Guwahati City, Assam, India. Twin-cup dosemeters with LR-115 (II) nuclear track detectors were used in this study. The findings show that values vary significantly, with winter having the highest values and summer having the lowest, with spring and autumn having moderate values. In winter, radon concentrations range from 61.6 ± 11.2 Bq m-3 (Mud) to 115.3 ± 34.3 Bq m-3 (AT), with geometric mean values of 69.2 ± 13.8 Bq m-3 and 109.4 ± 27.9 Bq m-3, and in summer, they range from 21.1 ± 5.9 Bq m-3 (Mud) to 28.4 ± 8.3 Bq m-3 (AT), with geometric mean values of 22.7 ± 6.3 Bq m-3 and 26.1 ± 7.1 Bq m-3, whereas thoron concentrations range from 13.1 ± 5.1 Bq m-3 (Mud) to 58.8 ± 12.6 Bq m-3 (AT), with geometric mean values of 27.6 ± 7.0 Bq m-3 and 52.9 ± 10.1 Bq m-3 in winter, respectively, and in summer, from 8.8 ± 2.3 Bq m-3 (Mud) to 13.0 ± 5.5 Bq m-3 (Mud), with a geometric mean value of 1.87 ± 1.29 Bq m-3. Radon and thoron progeny levels are reported to vary from 4.1 ± 0.3 mWL (Mud) to 15.1 ± 4.3 mWL (AT) and 2.6 ± 0.9 mWL (Mud) to 14.3 ± 4.2 mWL (AT) in winter and from 1.5 ± 0.7 mWL (AT) to 3.0 ± 2.5 mWL (Mud) and 0.9 ± 0.3 mWL (AT) to 2.7 ± 0.5 mWL (Mud) in summer, respectively. The equilibrium factors for radon and its progeny have been reported to range from 0.23 ± 0.1 (Mud) to 0.51 ± 0.3 (AT) in winter, whereas from 0.23 ± 0.1 (AT) to 0.48 ± 0.4 (Mud) in summer, respectively. The equilibrium factors for thoron and its progeny have been estimated in the range of 0.02 ± 0.01 (Mud) to 0.09 ± 0.06 (AT) in winter, whereas 0.02 ± 0.02 (AT) to 0.07 ± 0.05 (Mud) in summer, respectively. The inhalation dose rates differed from house to house, having values in the range of 1.2 ± 0.2 mSv year-1 (Mud) to 4.6 ± 1.3 mSv year-1 (AT) in winter, whereas 0.5 ± 0.3 mSv year-1 (AT) to 0.9 ± 0.5 mSv year-1 (Mud) in summer, respectively. The effective doses (EDs) due to the exposure of radon and thoron in the study area have been found to range from 2.5 ± 0.3 mSv (Mud) to 9.1 ± 2.7 mSv (AT) in winter and 0.9 ± 0.4 mSv (AT) to 1.8 ± 1.3 mSv (Mud) in summer, respectively. The levels of radon and thoron in similar types of construction were found to be significantly different from one house to another. The estimated radon and thoron concentrations in the houses of that region during winter are found to be substantially higher than the global averages as reported by UNSCEAR.
Virtual classroom proficiency-based progression for robotic surgery training (VROBOT): a randomised, prospective, cross-over, effectiveness study

Robotic surgery training has lacked evidence-based standardisation. We aimed to determine the effectiveness of adjunctive interactive virtual classroom training (VCT) in concordance with the self-directed Fundamentals of Robotic Surgery (FRS) curriculum. The virtual classroom is comprised of a studio with multiple audio-visual inputs to which participants can connect remotely via the BARCO weConnect platform. Eleven novice surgical trainees were randomly allocated to two training groups (A and B). In week 1, both groups completed a robotic skills induction. In week 2, Group A received training with the FRS curriculum and adjunctive VCT; Group B only received access to the FRS curriculum. In week 3, the groups received the alternate intervention. The primary outcome was measured using the validated robotic-objective structured assessment of technical skills (R-OSAT) at the end of week 2 (time-point 1) and 3 (time-point 2). All participants completed the training curriculum and were included in the final analyses. At time-point 1, Group A achieved a statistically significant greater mean proficiency score compared to Group B (44.80 vs 35.33 points, p = 0.006). At time-point 2, there was no significant difference in mean proficiency score in Group A from time-point 1. In contrast, Group B, who received further adjunctive VCT showed significant improvement in mean proficiency by 9.67 points from time-point 1 (95% CI 5.18-14.15, p = 0.003). VCT is an effective, accessible training adjunct to self-directed robotic skills training. With the steep learning curve in robotic surgery training, VCT offers interactive, expert-led learning and can increase training effectiveness and accessibility.
[Surgical Treatment of Esophageal Cancer-New Technologies, Modern Concepts]

In Germany esophageal cancer is mostly treated in specialized centers according to national and international guidelines in a multimodal and interdisciplinary setting. In the next few years centralization of esophageal surgery will continue in Germany due to new national regulations on minimum case volumes. This article highlights new technologies for surgical treatment of esophageal cancer and also depicts the current oncological concepts from the perspective of a high-volume center.
Biogenic synthesis of gold nanoparticles using Satureja rechingeri Jamzad: a potential anticancer agent against cisplatin-resistant A2780CP ovarian cancer cells

Drug resistance of cancer cells is a major issue in cancer treatment. Plant-mediated nanoparticle synthesis has been applied in recent years to overcome this problem. In this study, the biogenic synthesis of AuNPs was explored using Satureja rechingeri Jamzad aqueous leaf extract, and their anticancer effects were evaluated in cisplatin-resistant A2780CP ovarian cancer cells. The chemical composition of S. rechingeri Jamzad was analyzed using gas chromatography-mass spectrometry. The characteristics of green-synthesized AuNPs were confirmed using XRD, FTIR, UV-visible spectroscopy, TEM, SEM, EDX, DLS, and zeta potential. The cytotoxic effects of AuNPs and S. rechingeri Jamzad aqueous extract on cisplatin-resistant A2780CP ovarian cancer cells were evaluated by MTT assay and flow cytometry. Real-time PCR analyzed gene expression. The chemical composition revealed that carvacrol (89%) was the main component of the S. rechingeri Jamzad extract. The average size of the spherical biosynthesized AuNPs was 15.1 ± 3.7 nm. The AuNPs and plant extract inhibited the growth of cisplatin-resistant ovarian cancer cells in a time- and dose-dependent manner. The apoptotic cell death was confirmed by flow cytometry and DAPI staining. The proapoptotic genes were upregulated, while anti-apoptotic and metastatic genes were downregulated. According to the cell cycle analysis, cancer cells were arrested in the G0/G1 phase. Considering the anticancer activity of the synthesized AuNPs using S. rechingeri Jamzad and the low side effects of AuNPs on normal cells, these AuNPs showed strong potential for use as biological agents in drug-resistant cancer cells treatment.
Addressing current barriers to autism diagnoses through a tiered diagnostic approach involving pediatric primary care providers

Formal autism diagnosis from a specialist trained in autism assessment is customary prior to a child accessing early, intensive autism-specific services. However, long wait lists for diagnostic evaluations and limited specialty workforce have created substantial delays. Additionally, lengthy multidisciplinary evaluations are costly to insurers, inconvenient to families, and disproportionally impact under-resourced families. Diagnostic delays can impede access to intervention services. These barriers, combined with evidence regarding the importance of receiving early, autism-specific treatment, demand new approaches enabling access to autism specific services before comprehensive evaluation. Pediatric primary care providers (PCPs) are often the only health care professionals with whom a family interacts during early childhood and can play a crucial role in helping children with autism symptoms access services. Many strategies for autism diagnosis in primary care are being developed and tested; however, they have yet to be broadly adopted by PCPs, primarily due to critical implementation barriers in primary care settings. There is also not enough evidence on the accuracy of PCPs' diagnostic impressions without extensive specialty support, resulting in PCP hesitancy in diagnosing ASD, as well as family and service provider hesitancy in accepting a PCP autism diagnosis. In this commentary, we explore the acute need for shortening waitlists for autism evaluations through a tiered diagnostic approach, in which PCPs can rule in or rule out autism in children, for whom diagnosis is clear, and refer more complex cases for specialist evaluations, and explore implementation challenges to this approach.
Perfusion culture of endothelial cells under shear stress on microporous membrane in a pressure-driven microphysiological system

This paper reports perfusion culture of human umbilical vein endothelial cells (HUVECs) on a microporous membrane in a pressure-driven microphysiological system (PD-MPS), which we developed previously as a multi-throughput perfusion culture platform. We designed fluidic culture unit with microporous membrane to culture HUVECs under fluidic shear stress and constructed a perfusion culture model in the PD-MPS platform. Four fluidic culture units were arranged in the microplate-sized device, which enables four-throughput assay for characterization of HUVECs under flow. Medium flow was generated above and below the membrane by sequential pneumatic pressure to apply physiological shear stress to HUVECs. HUVECs exhibited aligned morphology to the direction of the flow with shear stress of 11.5-17.7 dyn/cm2 under the flow condition, while they randomly aligned under static culture condition in a 6 well plate. We also observed 3.3- and 5.0-fold increase in the expression levels of the thrombomodulin and endothelial nitric oxide synthase mRNAs, respectively, under the flow condition in the PD-MPS compared to the static culture in 6 well plate. We also observed actin filament aligned to the direction of flow in HUVECs cultured under the flow condition.