ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
The role of soil as a carbon sink in coastal salt-marsh and agropastoral systems at La Pletera, NE Spain

To evaluate the potential of natural and modified salt-marsh soils to store organic carbon and their soil properties, we investigated six soil environments located at La Pletera salt-marsh area, NE Spain. Namely, Ruderal (RU), rubbles over marsh for construction purpose, ELY covered by Elymus elymoides (Raf.) meadows, ART under Arthrocnemurn fruticosum L., SAL under Salicornia patula Duval Jouve, AGR under Zea mays L., and AME under Medicago saliva L. as artificial meadow. Soils were sampled at three depths (0-5, 5-20 and 20-40 cm). At 0-5 cm depth, soil organic carbon (SOC) was higher in ART soil (40.08 g kg(-1)) with respect to ELY, AME, AGR, SAL and RU (23.63, 11.45, 5.77, 4.40 and 3.18 g kg(-1) respectively). Glomalin (TGRSP) in ART had the same trend, with 8.88 g kg(-1) decreased by 51%, 77%, 89%, 92% and 94% in ELY, AME, AGR, SAL and RU soil respectively, indicating that in ART recalcitrant organic carbon may prevail. ART and ELY soils had higher SOC and GRSP than AGR and AME soils at 0-5 and 5-20 cm (on average + 70% and 57%) but SOC values were similar at 20-40 cm depth and glomalin was even higher in AGR and AME soils at this depth suggesting migration of stable organic compounds in cultivated soils. The water stable aggregates (WSA) analysed in the 0.25-2 mm and 2-5.6 mm fractions was also higher in ART and ELY soils (approximate to 90%) at 0-5 and 5-20 cm with respect to the other investigated soils. Higher WSA (fraction 0.25-5 mm) was found in AGR and AME soils at 20-40 cm corroborating that at higher GRSP corresponds higher aggregation. Potential carbon loss as C-CO2 (Mg ha(-1)) was evaluated at 0-5 cm depth and was much lower in ART soil. Accordingly, C-CO2/SOC ratio assigned to ART soil 1.85% of SOC loss against 8.26%, 11.64%, 18.90%, 20.37% and 22.72% of ELY, AME, RU, SAL and AGR soils respectively, indicating that only ART and ELY soils may exert clear carbon sequestration ability. The soil under annual Salicornia patula Duval Jouve (SAL) showed very low SOC (4.40 g kg(-1)) and the highest carbon loss potential (22.72%) due to shortage of organic decaying debris at surface. Also, C-TGRSP resulted higher in ELY and ART soils (2.51 and 1.31 Mg ha(-1)respectively) and C-TGRSP/SOC ratio demonstrated glomalin carbon enrichment in this order: ART > AME > ELY > AGR > SAL > RU, suggesting that carbon sequestration capacity may be assigned to ART and ELY soils, major carbon sinks in the Pletera salt-marsh area. Conversely, RU, AGR and AME soils, identified as ancient salt-marsh converted into agropastoral systems or altered for tourism purposes showed worse soil properties and higher sensitivity to carbon destabilization. Statistical treatment of data by factor analysis corroborated the obtained results outlining the importance of ART and ELY soils in maintaining best soil properties and the highest carbon storage capacity.
Learning structured visual dictionary for object tracking

In this paper, we propose a visual tracking algorithm by incorporating the appearance information gathered from two collaborative feature sets and exploiting its geometric structures. A structured visual dictionary (SVD) can be learned from both appearance and geometric structure, thereby enhancing its discriminative strength between the foreground object and the background. Experimental results show that the proposed tracking algorithm using SVD (SVDTrack) performs favorably against the state-of-the-art methods. (C) 2013 Elsevier B.V. All rights reserved.
The single cell transcriptional landscape of esophageal adenocarcinoma and its modulation by neoadjuvant chemotherapy

Immune checkpoint blockade has recently proven effective in subsets of patients with esophageal adenocarcinoma (EAC) but little is known regarding the EAC immune microenvironment. We determined the single cell transcriptional profile of EAC in 8 patients who were treatment-naive (n = 4) or had received neoadjuvant chemotherapy (n = 4). Analysis of 52,387 cells revealed 10 major cell subsets of tumor, immune and stromal cells. Prior to chemotherapy tumors were heavy infiltrated by T regulatory cells and exhausted effector T cells whilst plasmacytoid dendritic cells were markedly expanded. Two dominant cancer-associated fibroblast populations were also observed whilst endothelial populations were suppressed. Pathological remission following chemotherapy associated with broad reversal of immune abnormalities together with fibroblast transition and an increase in endothelial cells whilst a chemoresistant epithelial stem cell population correlated with poor response. These findings reveal features that underlie and limit the response to current immunotherapy and identify a range of novel opportunities for targeted therapy.
Imagery re-scripting for PTSD: session content and its relation to symptom improvement

Imagery rescripting (ImRs) is a therapy technique that, unlike traditional re-living techniques, focuses less on exposure and verbal challenging of cognitions and instead encourages patients to directly transform the intrusive imagery to change the depicted course of events in a more desired direction. However, a comprehensive account of how and in what circumstances ImRs brings about therapeutic change is required if treatment is to be optimised, and this is yet to be developed. The present study reports on the development of a coding scheme of ImRs psychotherapy elements identified in the literature as potential ImRs mechanisms. The codes were assessed in relation to short-term outcomes of 27 individuals undergoing ImRs for post-traumatic stress disorder. The timing of the change in the image, degree of activation of the new image and associated cognitive, emotional and physiological processes, self-guided rescripting, rescript believability, narrative coherence and cognitive and emotional shift were identified as being related to symptom change and so are potentially important factors for the re-scripting process.
Protective role for C3aR in experimental chronic pyelonephritis

Emerging evidence suggest that C3aR plays important roles in homeostasis, host defense and disease. Although it is known that C3aR is protective in several models of acute bacterial infections, the role for C3aR in chronic infection is largely unknown. Here we show that C3aR is protective in experimental chronic pyelonephritis. Global C3aR deficient (C3ar-/- ) mice had higher renal bacterial load, more pronounced renal histological lesions, increased renal apoptotic cell accumulation, tissue inflammation and extracellular matrix deposition following renal infection with uropathogenic E. coli (UPEC) strain IH11128, compared to WT control mice. Myeloid C3aR deficient (Lyz2-C3ar-/- ) mice exhibited a similar disease phenotype to global C3ar-/- mice. Pharmacological treatment with a C3aR agonist reduced disease severity in experimental chronic pyelonephritis. Furthermore, macrophages of C3ar-/- mice exhibited impaired ability to phagocytose UPEC. Our data clearly demonstrate a protective role for C3aR against experimental chronic pyelonephritis, macrophage C3aR plays a major role in the protection, and C3aR is necessary for phagocytosis of UPEC by macrophages. Our observation that C3aR agonist curtailed the pathology suggests a therapeutic potential for activation of C3aR in chronic infection.
The influence of weather and temperature on pedestrian walking characteristics on the zigzag bridge

With the increasing number of tourists in recent years, ensuring the safety of visitors in tourist attractions has become an enormous challenge for safety management. At present, many experiments have been conducted to study pedestrian dynamics, but empirical data on tourists' movement state under different weather conditions are still few. Therefore, a series of field experiments were conducted to analyze the effect of external weather and temperature on pedestrians' movement characteristics. The results show that pedestrians are more concentrated in the middle and inner tracks during the turning process to seek the shortest path on rainy days. Moreover, it is found that pedestrians speed up under the conditions with low (below 10 °C) and high (over 30 °C) temperatures. The average speed of pedestrians is 0.677 m/s as the temperature is below 0 °C, which is much higher than the average speed of pedestrians in other temperature ranges. In addition, the speed of pedestrians changed more dramatically under the low-temperature conditions. It is hoped that this research can provide a reference for crowd control and rational design of pedestrian facilities.
Drowning case complicated with a cardiopulmonary arrest and severe ARDS saved with a good neurological outcome by ECMO: A case report

Cardiopulmonary arrest (CPA) due to drowning has an extremely high mortality rate, and very few cases have good neurological outcomes. Severe respiratory failure can occur even after resuscitation. A 66 year old woman with a history of refractory epilepsy had a CPA due to drowning. Approximately 20 min after drowning, she was resuscitated and transported to the hospital, and extracorporeal membrane oxygenation (ECMO) was introduced on day two due to continued severe respiratory failure caused by acute respiratory distress syndrome (ARDS). After the introduction of ECMO, her respiratory status gradually improved and ECMO was discontinued on day 12. Approximately 6 months after drowning, she visited our hospital for a follow-up with a cerebral performance category of 1. Since cases of CPA due to drowning with a short drowning time or hypothermia are expected to have good neurological outcomes, the introduction of ECMO should be considered as a treatment for ARDS after resuscitation.
A 0.7-V 17.4-mu W 3-Lead Wireless ECG SoC

This paper presents a fully integrated sub-1 V 3-lead wireless ECG System-on-Chip (SoC) for wireless body sensor network applications. The SoC includes a two-channel ECG front-end with a driven-right-leg circuit, an 8-bit SAR ADC, a custom-designed 16-bit microcontroller, two banks of 16 kb SRAM, and a MICS band transceiver. The microcontroller and SRAM blocks are able to operate at sub-/near-threshold regime for the best energy consumption. The proposed SoC has been implemented in a standard 0.13-mu m CMOS process. Measurement results show the microcontroller consumes only 2.62 pJ per instruction at 0.35 V. Both microcontroller and memory blocks are functional down to 0.25 V. The entire SoC is capable of working at single 0.7-V supply. At the best case, it consumes 17.4 mu W in heart rate detection mode and 74.8 mu W in raw data acquisition mode under sampling rate of 500 Hz. This makes it one of the best ECG SoCs among state-of-the-art biomedical chips.
Making the Invisible Visible: Eco-Art and Design against the Anthropocene

This paper examines a series of art and design installations in the public realm that aim to raise awareness or activate change regarding pressing ecological issues. Such works tend to place environmental responsibility on the shoulders of the individual citizen, aiming to educate but also to implicate them in the age of the Anthropocene. How and what these works aim to accomplish, are key to a better understanding the means of knowledge transfer and potential agents of change in the Anthropocene. We study three cases in this paper. These are examined through: (1) their potential to raise awareness or activate behavior change; (2) how well they are capable of making the catastrophic situations, which are invisible to most people, visible; and (3) how well they enable systemic change in the catastrophic situations. In the three cases studied, we find that they are successful in helping to raise awareness and even change individual behavior, they are successful in rendering the invisible visible, but they are incapable of engendering any systemic change of the catastrophic situations depicted.
HEAR: Fog-Enabled Energy-Aware Online Human Eating Activity Recognition

Eating activity recognition (EAR) plays an important role in ensuring healthy eating habits. Recent advancements of the Internet of Things (IoT) have bolstered automated EAR through various wearable edge devices. State-of-the-art work uses some offline trained classifiers at the fog device to recognize eating activities. However, the eating habits of a person change quite frequently and vary from person to person. Therefore, the classifiers should be updated continuously with new data to adapt to these changes and be personalized over time through online learning. To the best of our knowledge, no state-of-the-art work has addressed this issue so far. In this article, we propose an online learning methodology called human eating activity recognition (HEAR) by introducing an online update phase. We also design an algorithm to be used in the online update phase that provides approximate true labels for the new data. Moreover, we also design a wearable neckband as the edge device to capture eating activity data (<italic>Chewing, Swallowing, Talking, and Idle</italic>) in a lab environment. Through a detailed experimental evaluation on 12 users, we show that an online learned neural network (OLNN) classifier using our HEAR methodology performs better than any state-of-the-art offline trained classifier. We also demonstrate that our OLNN classifier is energy efficient compared to the competitive offline trained classifiers.
Proteome Analysis Unravels Mechanism Underling the Embryogenesis of the Honeybee Drone and Its Divergence with the Worker (Apis mellifera lingustica)

The worker and drone bees each contain a separate diploid and haploid genetic makeup, respectively. Mechanisms regulating the embryogenesis of the drone and its mechanistic difference with the worker are still poorly understood. The proteomes of the two embryos at three time-points throughout development were analyzed by applying mass spectrometry-based proteomics. We identified 2788 and 2840 proteins in the worker and drone embryos, respectively. The age-dependent proteome driving the drone embryogenesis generally follows the worker's. The two embryos however evolve a distinct proteome setting to prime their respective embryogenesis. The strongly expressed proteins and pathways related to transcriptional-translational machinery and morphogenesis at 24 h drone embryo relative to the worker, illustrating the earlier occurrence of morphogenesis in the drone than worker. These morphogenesis differences remain through to the middle-late stage in the two embryos. The two embryos employ distinct antioxidant mechanisms coinciding with the temporal-difference organogenesis. The drone embryo's strongly expressed cytoskeletal proteins signify key roles to match its large body size. The RNAi induced knockdown of the ribosomal protein offers evidence for the functional investigation of gene regulating of honeybee embryogenesis. The data significantly expand novel regulatory mechanisms governing the embryogenesis, which is potentially important for honeybee and other insects.
Improved Modelling of Tool Tracking Errors by Modelling Dependent Marker Errors

Accurate understanding of equipment tracking error is essential for decision making in image guided surgery. For tools tracked using markers attached to a rigid body, existing error estimation methods use the assumption that the individual marker errors are independent random variables. This assumption is not valid for all tracking systems. This paper presents a method to estimate a more accurate tracking error function, consisting of a systematic and random component. The proposed method does not require detailed knowledge of the tracking system physics. Results from a pointer calibration are used to demonstrate that the proposed method provides a better match to observed results than the existing state of the art. A simulation of the pointer calibration process is then used to show that existing methods can underestimate the pointer calibration error by a factor of two. A further simulation of laparoscopic camera tracking is used to show that existing methods cannot model important variations in system performance due to the angular arrangement of the tracking markers. By arranging the markers such that the systematic errors are nearly identical for all markers, the rotational component of the tracking error can be reduced, resulting in a significant reduction in target tracking errors.
The Efficacy of Safinamide in the Management of Parkinson's Disease: A Systematic Review

Parkinson's disease (PD) is a chronic neurodegenerative disease that is challenging to treat due to its progressive nature and its weaning response to therapy. Safinamide, a monoamine oxidase type-B inhibitor (MAOB-I), has shown promise in managing dyskinesias caused by levodopa (L-dopa), carbidopa, and PD features such as pain and depression. This systematic review aimed to evaluate safinamide's efficacy as a monotherapy and an add-on in tackling these issues. We composed this systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Our group searched the following databases: Manchester University Library, ScienceDirect, Google Scholar, PubMed, PubMed Central, and MedLine for articles produced in the last ten years using various search terms and criteria, which we outlined in the search strategy and eligibility criteria sections. We excluded 722 out of the initially screened 730 records for multiple reasons, such as titles and abstracts being irrelevant to the topic, articles without free full access, articles originally not in the English language, and articles that did not score 70% or above on their respective quality assessment tools. The studies explored supported safinamide's use in managing motor fluctuations, pain, depression, and improving patients' quality of life.
Integrin binding peptides facilitate growth and interconnected vascular-like network formation of rat primary cortical vascular endothelial cells in vitro

Neovascularization and angiogenesis in the brain are important physiological processes for normal brain development and repair/regeneration following insults. Integrins are cell surface adhesion receptors mediating important function of cells such as survival, growth and development during tissue organization, differentiation and organogenesis. In this study, we used an integrin-binding array platform to identify the important types of integrins and their binding peptides that facilitate adhesion, growth, development, and vascular-like network formation of rat primary brain microvascular endothelial cells. Brain microvascular endothelial cells were isolated from rat brain on post-natal day 7. Cells were cultured in a custom-designed integrin array system containing short synthetic peptides binding to 16 types of integrins commonly expressed on cells in vertebrates. After 7 days of culture, the brain microvascular endothelial cells were processed for immunostaining with markers for endothelial cells including von Willibrand factor and platelet endothelial cell adhesion molecule. 5-Bromo-2'-dexoyuridine was added to the culture at 48 hours prior to fixation to assess cell proliferation. Among 16 integrins tested, we found that α5β1, αvβ5 and αvβ8 greatly promoted proliferation of endothelial cells in culture. To investigate the effect of integrin-binding peptides in promoting neovascularization and angiogenesis, the binding peptides to the above three types of integrins were immobilized to our custom-designed hydrogel in three-dimensional (3D) culture of brain microvascular endothelial cells with the addition of vascular endothelial growth factor. Following a 7-day 3D culture, the culture was fixed and processed for double labeling of phalloidin with von Willibrand factor or platelet endothelial cell adhesion molecule and assessed under confocal microscopy. In the 3D culture in hydrogels conjugated with the integrin-binding peptide, brain microvascular endothelial cells formed interconnected vascular-like network with clearly discernable lumens, which is reminiscent of brain microvascular network in vivo. With the novel integrin-binding array system, we identified the specific types of integrins on brain microvascular endothelial cells that mediate cell adhesion and growth followed by functionalizing a 3D hydrogel culture system using the binding peptides that specifically bind to the identified integrins, leading to robust growth and lumenized microvascular-like network formation of brain microvascular endothelial cells in 3D culture. This technology can be used for in vitro and in vivo vascularization of transplants or brain lesions to promote brain tissue regeneration following neurological insults.
Temporal Memory Relation Network for Workflow Recognition From Surgical Video

Automatic surgical workflow recognition is a key component for developing context-aware computer-assisted systems in the operating theatre. Previous works either jointly modeled the spatial features with short fixed-range temporal information, or separately learned visual and long temporal cues. In this paper, we propose a novel end-to-end temporal memory relation network (TMRNet) for relating long-range and multi-scale temporal patterns to augment the present features. We establish a long-range memory bank to serve as a memory cell storing the rich supportive information. Through our designed temporal variation layer, the supportive cues are further enhanced by multi-scale temporal-only convolutions. To effectively incorporate the two types of cues without disturbing the joint learning of spatio-temporal features, we introduce a non-local bank operator to attentively relate the past to the present. In this regard, our TMRNet enables the current feature to view the long-range temporal dependency, as well as tolerate complex temporal extents. We have extensively validated our approach on two benchmark surgical video datasets, M2CAI challenge dataset and Cholec80 dataset. Experimental results demonstrate the outstanding performance of our method, consistently exceeding the state-of-the-art methods by a large margin (e.g., 67.0% v.s. 78.9% Jaccard on Cholec80 dataset).