Miracle-dz/UniFAR-FTUs huggingface dataset:
One Size Does Not Fit All: Risk Stratification in Seizure Prophylaxis

Importance: Limited evidence is available concerning optimal seizure prophylaxis after spontaneous intracerebral haemorrhage (sICH). Objective: To evaluate which of 4 seizure prophylaxis strategies provides the greatest net benefit for patients with sICH. Design, Setting and Participants: This decision analysis used models to simulate the following 4 common scenarios: (1) a 60-year-old man with low risk of early (≤ 7 days after stroke) (10%) and late (3.6% or 9.8%) seizures and average risk of short(9%) and long-term (30%) adverse drug reaction (ADR), (2) an 80-year-old woman with low risk of early (10%) and late (3.6% or 9.8%) seizures and high short(24%) and long-term (80%) ADR risks, (3) a 55-year-old man with high risk of early (19%) and late (34.8% or 46.2%) seizures and low short(9%) and long-term (30%) ADR risks, and (4) a 45-year-old woman with high risk of early (19%) and late (34.8% or 46.2%) seizures and high short(18%) and long-term (60%) ADR risks. Interventions: The following 4 anti-seizure drug strategies were included: (1) conservative, consisting of short-term (7-day) secondary early-seizure prophylaxis with long-term therapy after late seizure; (2) moderate, consisting of long-term secondary early-seizure prophylaxis or late-seizure therapy; (3) aggressive, consisting of long-term primary prophylaxis; and (4) risk guided, consisting of short-term secondary early-seizure prophylaxis among low-risk patients (2HELPS2B score, 0), short-term primary prophylaxis among patients at higher risk (2HELPS2B score, ≥1), and long-term secondary therapy for late seizure. Main Outcomes and Measures: Quality-adjusted life years (QALYs). Results: For scenario 1, the risk-guided strategy (8.13 QALYs) was preferred over the conservative (8.08 QALYs), moderate (8.07 QALYs) and aggressive (7.88 QALYs) strategies. For scenario 2, the conservative strategy (2.18 QALYs) was preferred over the risk-guided (2.17 QALYs), moderate (2.09 QALYs) and aggressive (1.15 QALYs) strategies. For scenario 3, the aggressive strategy (9.21 QALYs) was preferred over the risk-guided (8.98 QALYs), moderate (8.93 QALYs) and conservative (8.77 QALYs) strategies. For scenario 4, the risk-guided strategy (11.53 QALYs) was preferred over the conservative (11.23 QALYs), moderate (10.93 QALYs) and aggressive (8.08 QALYs) strategies. Sensitivity analyses suggested that short-term strategies (conservative and risk-guided) are preferred under most scenarios, and the risk-guided strategy performs comparably to or better than alternative strategies in most settings. Conclusions and Relevance: This decision analytical model suggests that short-term (7-day) prophylaxis dominates longerterm therapy after sICH. Use of the 2HELPS2B score to guide clinical decisions for initiation of short-term primary vs secondary early-seizure prophylaxis should be considered for all patients after sICH.
Role of CD5L and SRD5A2 as Prognostic Biomarkers for Hepatocellular Carcinoma

Purpose Due to the limitations of currently available biomarkers, new biomarkers are needed to accurately predict the prognosis of patients with hepatocellular carcinoma (HCC) patients. Methods In this study, we screened for differentially expressed genes (DEGs) in the tumor and the adjacent tissues using the four gene expression array (GSE14520, GSE45267, GSE121248, GSE62232) of the Gene Express Omnibus (GEO) database. Results Subsequently, 47 overlapping DEGs were identified in four GEO datasets, which were mostly located on chromosomes 5q and 6q, distributed in the liver and CD105-positive endothelial cells, and closely related to HCC. Function enrichment revealed 47 DEGs were related to HCC, and involved in steroid /lipid /retinol metabolism, bile secretion and p53 signalling pathway. The Kaplan–Meier plotter analysis (http://www.kmplot.com/) identified 26 and 40 genes associated with the 5-year overall survival (OS) and relapse-free survival (RFS). We found that CD5L and SRD5A2 were independent prognostic factors for 5-year OS (P=0.036) and RFS (P=0.044) in HCC patients from GSE14520, respectively. Clinicopathological features including BCLC stage, cirrhosis, and risk signature for predicted metastasis were used to construct and validate a nomogram for 5-year OS with C-index of 0.732 and 0.717 in the training and validation cohort, respectively. SRD5A2, BCLC stage and gender was independent prognostic factors for RFS which were used to build a nomogram with the C-index of 0.666 and 0.682 in the training and validation cohort, respectively. Conclusion CD5L can facilitate individualized, targeted therapy for HCC patients.
Automation, Task, and Context Features

Human–automation interaction (HAI) takes place in virtually every high-technology domain under a variety of operational conditions. Because operators make HAI decisions such as which mode to use, and when to engage, disengage, monitor, or cross-check automation, it is important to understand their perceptions of how system and situational characteristics affect their interaction with automation. The objective of this study was to examine how systematic variations of automation interface, task and context features influence professional pilots’ judgments of HAI situations. Pilots received descriptions of crews interacting with flight deck automation in specific situations and were asked to rate cognitive demands and predict behaviors. Results reflect a complex interplay among automation features, task, and context. Automation features influenced judgments of workload, task management, and potential for automation-related errors; however, the impact of automation on situation awareness seems to be moderated by task features. Unanticipated tasks had broader effects on pilots’ judgments than operational stressors. Results suggest that although changes to automated systems may be small in technical terms, their cognitive and behavioral impact on operators may be significant. Performance effects of automation changes in aviation as well as other domains need to be addressed with reference to task characteristics and situational demands.
Low-loss high-silica single-mode channel waveguides

Low-loss high-silica single-mode channel optical waveguides of 0.1 dB/cm have been fabricated on crystal silicon substrates with fibre coupling losses of less than 0.05 dB by flame hydrolysis deposition and reactive ion etching. Directional couplers have also been fabricated with excess loss of 0.5 dB by this waveguide fabrication technique.
Proteomic Profiling of Plasma-Derived Biomarkers in Patients with Bladder Cancer: A Step towards Clinical Translation

Background: Bladder cancer is a life-threatening disease and a major cause of cancer-associated complications. The main challenges confronted during the clinical management of bladder cancer are associated with recurrence and disease progression to the muscle-invasive phenotype. Improved early detection of the disease is of paramount importance to prevent disease progression and improve survival. Hence, novel clinically applicable biomarkers for early detection are warranted. Methods: In the current study, a comparative proteomic approach was undertaken using plasma samples to identify protein biomarkers associated with the muscle-invasive phenotype of bladder carcinoma. Isolated plasma proteins were depleted, DIGE-labeled, then subjected to conventional 2D electrophoresis followed by mass spectrometry for identification of differentially expressed proteins. Western blot was used for data validation. Results: Fourteen differentially expressed proteins with statistically significant changes in abundance between the cancer group and control group were identified. Three differentially expressed proteins were selected for validation, among which apolipoprotein A1 exhibited high specificity and sensitivity (AUC = 0.906). Ingenuity pathway analysis identified IFN-γ and TNF-α as the main signaling hub for the differentially regulated proteins. Conclusion: Our findings provide additional insight into understanding bladder cancer pathogenesis. Our data identified potential non-invasive plasma-derived biomarker proteins that merit additional investigation to validate its clinical usefulness to prevent bladder cancer progression.
A Robust Rigid Registration Framework of 3D Indoor Scene Point Clouds Based on RGB-D Information

Rigid registration of 3D indoor scenes is a fundamental yet vital task in various fields that include remote sensing (e.g., 3D reconstruction of indoor scenes), photogrammetry measurement, geometry modeling, etc. Nevertheless, state-of-the-art registration approaches still have defects when dealing with low-quality indoor scene point clouds derived from consumer-grade RGB-D sensors. The major challenge is accurately extracting correspondences between a pair of low-quality point clouds when they contain considerable noise, outliers, or weak texture features. To solve the problem, we present a point cloud registration framework in view of RGB-D information. First, we propose a point normal filter for effectively removing noise and simultaneously maintaining sharp geometric features and smooth transition regions. Second, we design a correspondence extraction scheme based on a novel descriptor encoding textural and geometry information, which can robustly establish dense correspondences between a pair of low-quality point clouds. Finally, we propose a point-to-plane registration technology via a nonconvex regularizer, which can further diminish the influence of those false correspondences and produce an exact rigid transformation between a pair of point clouds. Compared to existing state-of-the-art techniques, intensive experimental results demonstrate that our registration framework is excellent visually and numerically, especially for dealing with low-quality indoor scenes.
Effects of forage inclusion and cattle breed on apparent digestibility and ruminal pH of steers fed a whole shelled corn-based diet

Abstract Objectives were to evaluate the effects of cattle breed, Holstein or Angus, and forage inclusion on total tract digestibility and ruminal pH in cattle fed a whole shelled corn-based diet. Six Holstein and six Angus steers were assigned to a 2 × 3 factorial arrangement of treatments. Factors included breed, Holstein or Angus, and forage inclusion at 0%, 8%, or 16% forage (dry matter [DM] basis). Steers were fed in a replicated 3 × 3 Latin square, split-plot design. Each period consisted of 14 d diet adaptation followed by 7 d of sample collection. Data were analyzed using the MIXED procedures in SAS (v9.4 SAS Inst. Inc., Cary, NC). Repeated measures were used to analyze changes in ruminal pH over time. There was no interaction of breed × diet (P ≥ 0.19) on dry matter intake (DMI) or digestibility; however, Holstein steers had greater (P = 0.03) DMI than Angus steers. Despite the impact of breed on intake, there was no effect (P ≥ 0.33) of breed on diet digestibility. Digestibility of DM increased (linear; P < 0.01) as forage was removed from the diet, but there were no differences (P ≥ 0.32) in Neutral Detergent Fiber (NDF) and starch digestibility. However, due to the change in diet, NDF intake digested on a grams per day basis increased (P ≤ 0.01) and starch intake digested (g/d) decreased (P = 0.01) as forage inclusion increased. There was a tendency for breed × diet interaction (P = 0.08) on ruminal pH. Holstein steers fed 8% or 16% forage had greater ruminal pH than Holstein steers fed 0% forage; but, ruminal pH of Angus steers was not altered by diet.
Promoting Biodiversity: Vegetation in a Model Small Park Located in the Research and Educational Centre

University campuses, as important elements of urban greenery, are related with a positive impact on student health and well-being. They provide unique possibilities for estimating biodiversity change. This study focused on the biodiversity in the Campus. The study aimed at: assessing the plant biodiversity occurring in the park; assessing the representation of native species and determining the frequency at which invasive species occur; as well as recommending an adaptation of the park management. The Park was sub-divided into biotopes and a phytocoenological relevé was recorded. Park projects create biodiversity islands that may contribute to improve urban space. A species composition that is close to natural vegetation creates a space for native species, which thus better adapt to living in urban conditions. Localities created by humans, which imitate natural ecosystems, increase the biodiversity and are valuable natural islands in cities. The semi-natural phytocoenoses however, do not resist the occurrence of invasive plant species. Regarding the small size of the studied park, manual elimination or cutting of invasive plant species is sufficient.
How do consumers respond when presented with novel doctor performance information? A multivariate regression analysis

There is an array of attributes one may consider when selecting a doctor. Consumers must generally select providers in the absence of any standardized performance information about these attributes at the doctor level. Some attributes may be less salient to consumers until presented with novel performance data. Innate decision‐making regret, style and skill may be important, given the complexity of processing and trading off on numerous attributes.
Deep Multiscale Siamese Network with Parallel Convolutional Structure and Self-Attention for Change Detection

With the wide application of deep learning (DL), change detection (CD) for remote sensing images (RSIs) has realized the leap from the traditional to the intelligent methods. However, many existing methods still need further improvement in practical applications, especially in increasing the effectiveness of feature extraction and reducing model computational cost. In this paper, we propose a novel deep multiscale Siamese network with parallel convolutional structure (PCS) and self-attention (SA) (MSPSNet), which has excellent capabilities of feature extraction and feature integration under an acceptable consumption. It mainly contains three subnetworks: deep multiscale feature extraction, feature integration by the PCS, and feature refinement based on the SA. In the first subnetwork, a deep multiscale Siamese network based on convolutional block is designed to depict image features at different scales for different temporal images. In the subsequent subnetworks, a PCS model is proposed to integrate multiscale features of different temporal images, and then, a SA model is constructed to further enhance the representation of image information. Experiments are conducted on two public RSIs datasets, indicating that the proposed framework performs well in detecting changes.
Less is More: Course Redesign and the Development of an Atmospheric Science Process Skills Assessment

General education science courses strive to promote scientific literacy and the development of scientific process skills. However, research shows that many general education courses are still designed to stress content mastery. In this study, the number of topics in five semester-long introductory atmospheric science courses was reduced to increase time for the development of scientific process skills, a critical component of scientific literacy. The Atmospheric and Climate Science Literacy Frameworks and a general science education skills rubric were used to guide the course redesign and development of course activities. Details of the course structure and sample course activities are described. A pre-posttest was developed to evaluate attainment of five scientific process skills and the efficacy of the course redesign. Preliminary validity and reliability studies suggest that the majority of the assessment questions are reliable, though further validation of the assessment is required.
Prevalence of blindness and its major causes in sub-Saharan Africa in 2020: A systematic review and meta-analysis

Background: Global studies show that the prevalence of visual impairment and blindness continued to rise despite the implementation of strategies outlined in the Global Action Plan, aimed at reducing these by the year 2020. Vision impairment impacts negatively on one’s independence, opportunities, and quality of life. Therefore, knowledge of the prevalence, and the major causes of blindness impairment in any population, is vital in designing strategies to address this public health challenge. Methods: Literature mapping evidence of vision impairment was searched for on PubMed, Google Scholar, and EBSCOhost databases MEDLINE, Health Source: Nursing/Academic Edition, Health Source – Consumer Edition, CINAHL, and Academic Search Complete. Studies that were searched for included peer-reviewed and grey literature published in English from various countries in sub-Saharan Africa (SSA). Results: Only 77 studies with 191,173 participants, contributing data from 26 countries within SSA, met the inclusion criteria for the final review. The overall pooled prevalence estimate (PPE) of blindness from the selected studies was 10% (95% confidence interval [CI]: 8.0% – 11.0%). West Africa and East Africa had the highest prevalence. The identified leading causes of blindness were cataracts (46%; 95% CI: 40% – 52%), followed by glaucoma (14%; 95% CI: 11% – 18%). There was a high level of heterogeneity in most pooled estimates (I2 ˃ 80%, p < .001). Conclusion: The prevalence of blindness in SSA has increased in all four regions with most cases being avoidable. Policymakers should prioritise blindness prevention programmes, ensure enabling health systems, and provide the necessary resources towards reducing blindness in SSA.
Using Log Assignments to Foster Learning: Revisiting Writing across the Curriculum

During the past several years, the authors have conducted experiments in the use of writing to learn (WTL) techniques in sophomore‐level engineering mechanics courses at West Virginia University (WVU). The work was a collaborative effort between a doctoral candidate in the Curriculum and Instruction Department and an Associate Professor of Mechanical and Aerospace Engineering. This paper focuses on the effectiveness of several writing to learn strategies, assigned and completed in the Engineer's Log, which students identified as successful methods for learning. We present and discuss these strategies using sample log entries to illustrate their use and to suggest that expressive writing, or writing for the self, continues to prove itselfa successful technique for learning. Finally, we evaluate the data provided and discuss our results.
EU-DEEP INTEGRATED PROJECT - TECHNICAL IMPLICATIONS OF THE "HOSTING CAPACITY" OF THE SYSTEM FOR DER

The profitability of Distributed Energy Resources (DER) lies in the depth of the EU-DEEP Integrated Project. Basically the approach starts from the analysis of the demand. Large-scale technical investigations that are required to assess DER integration are essentially devoted to analyses of the effects of DER on system operation, on reliability of supply and on power quality envisaged in a systemic way. The “hosting capacity” concept has been defined as the DER penetration level where a performance index reaches its lowest acceptable limit. The major advantage using this approach is that discussions about integration issues of DER are framed into a set of performance criteria. This “hosting capacity” approach has been applied to numerous issues starting from high-frequency distortion but presently includes voltage dips, protection schemes, distribution system overload, frequency control, transmission system security management, etc. In the present paper, the approach is briefly described and examples about distribution system protection, voltage issues and distribution network “sizing criteria” are illustrated in more detail in the frame of typical European distribution networks.
Protective Effects of Mogroside V on Oxidative Stress Induced by H2O2 in Skin Fibroblasts

Purpose Damage caused by oxidative stress leads to the premature aging of cells. Mogrosides, the main active components of Siraitia grosvenorii, have strong antioxidant activity; however, it is unclear whether mogroside V (MV) exerts these effects in skin cells. This was investigated in the present study by evaluating the protective effects of MV against oxidative damage induced by hydrogen peroxide (H2O2) in skin fibroblasts. Methods Mouse skin fibroblasts (MSFs) were treated with H2O2 and cell viability, total antioxidant capacity, reactive oxygen species (ROS) production, malondialdehyde (MDA) content, and antioxidant enzyme activity were assessed. Results Treatment with MV reduced the ROS level and MDA content in MSFs treated with H2O2. This was accompanied by increased superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), and catalase (CAT) activities. Conclusion MV reduces H2O2-induced oxidative stress and enhances endogenous antioxidant activity in skin fibroblasts. Thus, MV can potentially be used as an ingredient in anti-aging cosmetic products.
The Role of Informal Sector in Waste Management, A Case Study; Tafila-Jordan

Scavengers play a major role in the waste management process in developing countries. This study analyzed the informal recycling activities carried out by scavenger in the Tafila region of Jordan. The results show that scavengers have an important role in the informal solid waste management (SWM) especially in term of waste reduction, minimization and material recovery. Significant values from the scavenged material make the scavenging somewhat a profitable business for poor people and could track more in the future. Socially scavenging tends to be acceptable in the community, especially with the increasing of the poverty and employments rates and became more acceptable in rural areas as it is already in urban areas. Despite the low level of education, the awareness for the negative health effect from working with waste was very high. The organizing of the scavenger work is suggested, since it would improve their working environment, income and living conditions. Therefore it should increase their contribution significantly to resource recovery.
BIODEGRADATION POTENTIAL OF RHIZOSPHERIC MICROORGANISMS OF RHIZOPHORA RACEMOSA IN CRUDE OIL CONTAMINATED MANGROVE SWAMP IN THE NIGER DELTA

Rhizophora racemosa (red mangrove tree) belongs to the family Rhizophoraceae; it is an important constituent of the mangrove swamp in Niger Delta, an oil producing region in Nigeria. The remediation of soils containing organic pollutants is possible with the use of microbial communities when the ecology is understood for potentials maximization. This study investigated the biodegradation potential of rhizospheric microorganisms of Rhizophora racemosa in crude oil- contaminated mangrove swamp in the Niger Delta.The total microbial count was determined by the serial dilution method. The hydrocarbon-utilizing bacteria and fungi were enumerated using Mineral Salts Agar containing crude oil as the sole carbon source. The biodegradation potential of these rhizomicrobes was determined using screen test, shake flask degradation tests, Total Organic Gas (TOG) and Total Petroleum Hydrocarbon (TPH) InfraCal Analyzer (HATR-T2 and CH). The turbidity, total organic gas (TOG-N) and total petroleum hydrocarbon were measured weekly for twenty-eight days. Hydrocarbon-degrading microbes isolated from the rhizosphere were identified as Marinococcus sp. , Azotobacter sp. , Acinetobacter sp. Aspergillus niger, Aspergillus flavus and Candida albicans. The highest rate of TPH reduction was recorded in Acinetobacter sp. (from 150 mg/L on day 1 to ˂0.0031 mg/L on day 14). This was followed by Candida albicans (148mg/L on day 1 to 2.68mg/L on day 28) and Aspergillus flavus (150mg/L on day 1 to 4.21mg/L on day 28) In conclusion, it can be inferred that the some rhizospheric microbes of Rhizophora racemosa can efficienctly degrade hydrocarbon up to 100% rate over a period of 28 days.