Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Arterial Ischemic and Hemorrhagic Pediatric Stroke in Etiology, Risk Factors, Clinical Manifestations, and Prognosis

Background Stroke is relatively rare in children but has a significant impact on long-term morbidity and mortality. There are limited data regarding the etiology, clinical manifestation, and prognosis of arterial ischemic stroke (AIS) and hemorrhagic stroke (HS) in children. Objective The aim of this study is to identify and compare etiology, risk factors, clinical manifestations, and prognostic outcomes between arterial ischemic and hemorrhagic pediatric stroke. Methods We retrospectively reviewed all hospital medical records and pediatric neurology database of 83 children who were first diagnosed with AIS and HS at the Pediatric Department, Chiang Mai University Hospital, Chiang Mai, Thailand between January 1, 2009, and December 31, 2018. All children were from 1 month to 18 years old. Results Fifty-one AIS (56%) and 32 (35.2%) HS were identified. The median age of onset was 6.9 years for AIS and 5.3 years for HS. Moyamoya disease/syndrome was the most common cause in AIS (21.6%). Rupture of cerebral arteriovenous malformation was the most common cause in HS (21.9%). More than one-third (39%) of children had multiple risk factors associated with stroke. Iron deficiency anemia was commonly found in children with AIS (39.2%). The majority of clinical presentations were hemiparesis (80.4%) for AIS and alteration of consciousness (68.8%) for HS. The median time to diagnosis exceeded 6 hours in both AIS and HS. The overall mortality rate of acute stroke was 5.1 per 100 person-years (95% confidence interval [CI], 2.9–9). The mortality rate was higher in HS compared with that in AIS with statistical significance (16.6; 95% CI, 8.9–30.8 vs 1.1%; 95% CI, 0.3–4.6 per 100 person-years). Thirty children (36.1%) developed epilepsy during the follow-up (median duration, 26 months). Recurrent stroke occurred in 1 child with AIS and 1 child with HS. Conclusions Moyamoya disease/syndrome and arteriovenous malformation rapture are the most common cause of AIS and HS, respectively. Iron deficiency anemia was commonly found in childhood AIS. The time to diagnosis in both AIS and HS was delayed. The mortality rate in HS was higher than in AIS. Neurological deficits are seen in 70% of childhood AIS during the follow-up. One-third of the children in our study developed epilepsy, which generally responds to a single antiseizure medication. The recurrence rate of childhood stroke was low compared with adult stroke.
Experimental Research of Warm Mix Asphalt with Sasobit

The viscosity at different temperature of asphalt addicted with different content of Sasobit was tested,and also the Marshall test,rutting test,low-temperature bend test and water stability test were carried on HMA and WMA with Sasobit. The result showed that the viscosity of Sasobit modified asphalt was lower than matrix asphalt and decreased with Sasobit dose increasing;Compared with HMA,the mixing temperature and compaction temperature of WMA with 3% Sasobit dropped 13 ℃ and 10 ℃,dynamic stability was improved,low temperature property reduced and water stability was at the same level.
Numerical assessments of bed morphological evolution in mountain river confluences under effects of hydro‐morphological factors

Understanding hydro‐morphological characteristics in mountain river confluences is significant in flood disaster mitigation and mountain river restoration, which is still poorly explored. This study employed a 2D hydro‐morphological model based on the finite element method to simulate the major bed morphological features in a mountainous‐type flume confluence and evaluate the effects of main controlling factors on these features. The modelling results show that the dominant bed morphological features in mountain river confluences can be well produced by the 2D model. Five controlling factors including downstream water level (H), branch discharge ratio (Qr), main channel sediment supply ratio (ψ), tributary slope (St) and confluence angle (α) reflecting different flow‐sediment‐geometry scenarios were adopted into a sensitive study. The upstream reach of the main channel is controlled by H and ψ and their decreases lead to bed degradation. The increase in Qr, St, and α mainly results in bed aggradation and steepening in the tributary, attaining a higher sediment transport rate. This contrasts the existing experimental results, due to the difference in sediment feeding. The size of the bank‐attached bar is promoted by the increase in Qr, St, and α and the decrease in H and ψ. A quantitative analysis shows that the water surface slope well correlates with various dimensions of the scour hole and bar morphology (correlation = 0.58–0.8). Meanwhile, the bank‐attached bar displays a strong self‐similarity (correlation = 0.84–0.98) regarding its geometric dimensions. This study provides new insights into the existing knowledge of the hydro‐sediment‐morphodynamics of mountain river confluences obtained from laboratory studies and field investigations.
EFFECT OF INM PRACTICES ON THE MORPHOLOGICAL, PHYSIOLOGICAL AND BIOCHEMICAL PARAMETER OF ARJUN LEAF PRIMARY HOST PLANT OF Antheraea mylitta D.

The present study was conducted to investigate the effect of Integrated Nutrient Management practices on the different parameter of Arjun leaf the primary host plant of Antheraea mylitta D. Eleven different combination with three replication were laid out in Randomized Complete Block Design at the field of Research Extension Centre, Kapistha. The obtained results showed that morphological, Physiological and Biochemical parameter of Arjun leaf showed significant difference. The Arjun leaf length was recorded highest in K11 (17cm) was on par with K9 (17cm). Highest leaf breadth was recorded in K10 (6.2cm) was applied with 75%RDF+Poultry manure+ AB+PSB. Leaf weight was recorded highest in K7 (2.84g), lowest in K1(1.21g). Number of leaves was recorded highest in K6 (1816) over the control. The leaf yield was recorded highest in K11 (3735). Leaves dry matter production was highest in K8 (469.56g) over the control. Relative water content was highest in K5 (87.3%). The initial Electrical Conductivity was recorded highest in K9 (0.037dSm-1) and after 10 min EC was found to highest in K9 (0.111dSm-1). The Chlorophyll ’a’ was recorded highest in K9 (3.39), Chl’b’(2.36)and total chlorophyll in K9(5.75) was recorded highest. The result were found significant due to effect of INM practices which provided the nutrients element needed by plants.
Artificial Light at Night, Higher Brain Functions and Associated Neuronal Changes: An Avian Perspective

In recent times, there has been an unprecedented increase in usage of electrical lightning. This has led to increase in artificial light at night (ALAN), and it has been suggested as a source of environmental pollution. ALAN exposure has been reported to be associated with disruption of daily rhythms and serious health consequences, such as immune, metabolic, and cognitive dysfunctions in both birds and mammals. Given the worldwide pervasiveness of ALAN, this research topic is also important from an ecological perspective. In birds, daily timings and appropriate temporal niches are important for fitness and survival. Daily rhythms in a wide array of functions are regulated by the circadian clock(s) and endogenous oscillators present in the body. There is accumulating evidence that exposure to ALAN disrupts clock-regulated daily rhythms and suppresses melatonin and sleep in birds. Circadian clock, melatonin, and sleep regulate avian cognitive performance. However, there is limited research on this topic, and most of the insights on the adverse effects of ALAN on cognitive functions are from behavioural studies. Nevertheless, these results raise an intriguing question about the molecular underpinning of the ALAN-induced negative consequences on brain functions. Further research should be focused on the molecular links between ALAN and cognitive performance, including the role of melatonin, which could shed light on the mechanism by which ALAN exposures lead to negative consequences.
3D printing system: an innovation for small-scale manufacturing in home settings? – early adopters of 3D printing systems in China

This study investigates Chinese consumers’ adoption of the innovative 3D printing systems for small-scale manufacturing in home settings. Empirical studies were conducted in a survey with 256 participants. The number of significant determinants that affect an individual’s decision to adopt 3D printing systems has been identified by applying a model that integrates the Technology Acceptance Model and Innovation Diffusion Theory. A number of moderation effects of demographic variables (e.g. gender, design background) on the association between motivational variables and participants’ adoption have also been analysed with factor analysis, structural equation modelling and hierarchical regression. Our results shed some light on the characteristics of early adopters of home 3D printing systems in China. This study contributes to the early understanding of Chinese consumers’ adoption of innovative 3D printing systems.
Current and New Challenges in the Management of Pancreatic Neuroendocrine Tumors: The Role of miRNA-Based Approaches as New Reliable Biomarkers

Pancreatic neuroendocrine tumors (PanNETs) are rare tumors; however, their incidence greatly increases with age, and they occur more frequently among the elderly. They represent 5% of all pancreatic tumors, and despite the fact that low-grade tumors often have an indolent evolution, they portend a poor prognosis in an advanced stages and undifferentiated tumors. Additionally, functional pancreatic neuroendocrine tumors greatly impact quality of life due to the various clinical syndromes that result from abnormal hormonal secretion. With limited therapeutic and diagnostic options, patient stratification and selection of optimal therapeutic strategies should be the main focus. Modest improvements in the management of pancreatic neuroendocrine tumors have been achieved in the last years. Therefore, it is imperative to find new biomarkers and therapeutic strategies to improve patient survival and quality of life, limiting the disease burden. MicroRNAs (miRNAs) are small endogenous molecules that modulate the expression of thousands of genes and control numerous critical processes involved in tumor development and progression. New data also suggest the implication of miRNAs in treatment resistance and their potential as prognostic or diagnostic biomarkers and therapeutic targets. In this review, we discusses the current and new challenges in the management of PanNETs, including genetic and epigenetic approaches. Furthermore, we summarize the available data on miRNAs as potential prognostic, predictive, or diagnostic biomarkers and discuss their function as future therapeutic targets.
Drivers of Social Media Networking Site Continuance Intention in Jordan and South Africa: Do National Cultural Differences Matter?

The present study integrates perceived service quality and national cultural dimensions into the expectation-confirmation model (ECM) to ascertain the antecedents of user satisfaction and continuance use of SNSs, and tested the moderating role of culture on the strengths of relationships in our adapted ECM. Data for empirical testing of the research model, using a Partial Least Squares (PLS) structural equation modelling technique with multi-group analysis, were obtained from 987 SNS users in Jordan and South Africa. Our findings suggest that, although there are differences in the path estimates of users in these contexts, these differences are not statistically significant, implying that cultural factors are not salient considerations for promoting SNS users’ satisfaction and continuance use intention. Implications of these findings for theory and practice are discussed.
Antibodies against Platelet Factor 4 and Their Associated Pathologies: From HIT/HITT to Spontaneous HIT-Like Syndrome, to COVID-19, to VITT/TTS

Antibodies against platelet factor 4 (PF4), a protein released from alpha-granules of activated platelets, may cause a number of pathophysiological conditions. The most commonly known is heparin-induced thrombocytopenia (HIT), which develops in a small proportion of people treated with the anticoagulant drug heparin. Notably, PF4 binds with high affinity to heparin, and in HIT, complexes of PF4/H may, in a small proportion of susceptible patients, trigger the development of anti-PF4 antibodies and subsequent platelet activation and aggregation, ultimately leading to the development of pathological thrombosis at sites of vessel occlusion. Of more modern interest, antibodies against PF4 may also arise in patients with COVID-19 (Coronavirus Disease 2019) or in patients who have been vaccinated against COVID-19, especially in recipients of adenovirus-based vaccines. For this latter group of patients, the terms VITT (vaccine-induced [immune] thrombotic thrombocytopenia) and TTS (thrombotic thrombocytopenia syndrome) have been coined. Another category associated with this pathophysiology comprises those in whom a precipitating event is not clear; this category is referred to as ‘spontaneous HIT-like syndrome’. Despite its name, it arises as an HIT-mimicking disorder but without antecedent heparin exposure. In this narrative review, we describe the development of antibodies against PF4, and associated pathophysiology, in such conditions.
Processing Biodegradable Fused Filament Fabrication Waste with Micro-Silica Particles

Microparticles of sand silica have been mixed with biodegradable waste (polylactic acid) from the fused filament fabrication process to investigate the impact on the mechanical properties. The composite mixtures were prepared using different compositions via a twin extrusion machine. Mechanical characterization using the Tensile Testing Machine was performed. The peak strength values indicated that increasing silica composition increased the tensile strength from 62.8 MPa at 0 wt% to 121.03 MPa at 10 wt%. However, a drop was observed beyond this point. It was concluded that for the yield strength, toughness, and failure strain, a similar trend was observed, and the values of the material increased up to 10 wt%, which corresponds to the increased mechanical property of the mixtures with reinforcement of silica microparticles. It is demonstrated that the mechanical properties have been improved for the processed material attributing to the impact of the recycling process of the polylactic acid from leftover 3D printing waste and promoting its potential reuse in the same application.
An Output Feedback Stabilizer for Uncertain MIMO Nonlinear Systems: Nonlinear Nominal Input Gain Function

This article presents a robust output feedback stabilizer for multi-input–multi-output nonlinear systems subject to external disturbances and system uncertainties. We assume that the system has a well-defined vector relative degree and the zero dynamics is input-to-state stable. Based on the assumption that there exists a state feedback controller that makes the origin of the nominal closed-loop system asymptotically stable, we present an output feedback stabilizer that recovers the stability of the nominal closed-loop system in the practical sense. We allow that the nominal system can have a nonlinear input gain matrix that is a function of system state, and this is done by modifying the structure of the disturbance observer-based robust outputfeedback controller. Simulation results on a practical system are included to validate the proposed controller.
Saratov Medical Journal

The objective of the study was to analyze in-hospital mortality and long-term survival of elderly patients who underwent openheart surgery and met the criterion of frailty. Materials and Methods. The study involved 266 patients over 75 years old complying with the frailty criterion (F-index ≤5). A total of 155 operations of coronary artery bypass grafting (CABG), 47 surgeries of aortic valve replacement (AVR), and 64 procedures of CABG in combination with AVR were performed. Study subjects were distributed among the groups depending on the surgery type. Postoperative complications were evaluated, and short-term and long-term outcomes were compared. Results. In-hospital mortality was 5.3% in general group, 9.4% in CABG+AVR group, 3.9% in CABG group, and 4.2% in AVR group. There was no significant difference among the rates of in-hospital mortality between the groups (р>0.05). Long-term survival rates in general group were as follows: 98.3% for 1-year survival, 94.6% for 3-year survival, and 82.1% for 5-year survival. Type of surgery had no significant impact on the outcome (р>0.05). Conclusion. Shortand long-term effects of CABG, AVR, and combination of CABG with AVR in the group of elderly patients who meet the criterion of frailty were characterized by low mortality and low incidence of non-fatal complications. The type of cardiac surgery and old age did not affect significantly the outcome of a surgical treatment.
Smooth Parameterization of Rigid Body Inertia

In this letter, we propose a parameterization of the rigid-body inertia tensor that is singularity free, guarantees full physical consistency, and has a straightforward physical interpretation. Based on a version of log-Cholesky decomposition of the pseudo-inertia matrix, we construct a smooth isomorphic mapping from R^10 to the set of fully physically consistent inertia tensors. This facilitates inertial estimation via unconstrained optimization on a vector space and avoids the non-uniqueness and singularities which we show are inherent to parameterizations of the inertia tensor based on eigenvalue decomposition and principal moments. The elements of our parameterization have straightforward physical meanings in terms of geometric transformations applied to a reference body. While adopting this new parameterization breaks the linear least squares structure of the system identification, theoretical results guarantee that all local optima of the resulting problems remain global optima. We compare the performance of three different parameterizations of inertia by performing inertial estimation on test data from a set of 1000 simulations of randomly sampled rigid bodies subject to external time-varying wrench and measurement noise. We also investigate the performance of the log-Cholesky parameterization on a dataset from MIT Cheetah 3 to empirically demonstrate the theoretical results. Overall, the results indicate that the log-Cholesky parameterization achieves fast convergence while providing a simple and intuitive parametric description of inertia.
Temporal Gene Expression Profiles Reflect the Dynamics of Lymphoid Differentiation

Understanding the emergence of lymphoid committed cells from multipotent progenitors (MPP) is a great challenge in hematopoiesis. To gain deeper insight into the dynamic expression changes associated with these transitions, we report the quantitative transcriptome of two MPP subsets and the common lymphoid progenitor (CLP). While the transcriptome is rather stable between MPP2 and MPP3, expression changes increase with differentiation. Among those, we found that pioneer lymphoid genes such as Rag1, Mpeg1, and Dntt are expressed continuously from MPP2. Others, such as CD93, are CLP specific, suggesting their potential use as new markers to improve purification of lymphoid populations. Notably, a six-transcription factor network orchestrates the lymphoid differentiation program. Additionally, we pinpointed 24 long intergenic-non-coding RNA (lincRNA) differentially expressed through commitment and further identified seven novel forms. Collectively, our approach provides a comprehensive landscape of coding and non-coding transcriptomes expressed during lymphoid commitment.
Factors Associated with Survival of Hepatocellular Carcinoma (HCC) Patients at a Safety Net Hospital in Arizona without On-Site Liver Transplant Program

Background With the rising incidence of hepatocellular carcinoma (HCC), ongoing efforts should be focused on providing equitable and state-of-the-art care to patients. Purpose The aim of this study was to determine the survival of patients with HCC seen at a high-proportion Safety Net Hospital (h-SNH), where loco-regional therapy and hepatology services are available and liver transplantation (LT) is referred to outside facilities. Patients and Methods A retrospective cohort study was conducted on all patients with HCC seen at Valley Wise Health Center (VWHC) over a ten-year period. Clinical variables, treatment modalities, survival duration, hospice, and LT referrals of 161 patients were collected from the medical records. Survival analysis was used to determine the relationship of clinically relevant variables and survival among patients with HCC. A Log rank test was used to compare univariate variables. A Cox regression analysis was used to compare and control for multiple variables. Results Of the 161 patients included in the study, 33% were uninsured. The median age was 59 (21 to >89) years with 47% Hispanic, 31% Caucasian, 15% African American and 7% other races included for the analysis. The median survival for the cohort was 20.1 months. In the multivariate model, insurance status, final MELD, tumor within the Milan criteria and having received treatment for HCC were associated with survival. Surveillance for HCC was associated with HCC in the univariate analysis, but not in the multivariable model. Thirty percent of patients were referred for LT and 1.25% of the entire cohort received it. Conclusion Despite the availability of treatment modalities available for HCC at VWHC and the option of liver transplantation for appropriate candidates at outside centers, OS was less than reported from programs with on-site liver transplant programs. Reasons for lower survival in centers without liver transplant programs should be further studied.
Prediction and Interpretation of Polymer Properties Using the Graph Convolutional Network

We present machine learning models for the prediction of thermal and mechanical properties of polymers based on the graph convolutional network (GCN). GCN-based models provide reliable prediction performances for the glass transition temperature (Tg), melting temperature (Tm), density (ρ), and elastic modulus (E) with substantial dependence on the dataset, which is the best for Tg (R2 ∼ 0.9) and worst for E (R2 ∼ 0.5). It is found that the GCN representations for polymers provide prediction performances of their properties comparable to the popular extended-connectivity circular fingerprint (ECFP) representation. Notably, the GCN combined with the neural network regression (GCN-NN) slightly outperforms the ECFP. It is investigated how the GCN captures important structural features of polymers to learn their properties. Using the dimensionality reduction, we demonstrate that the polymers are organized in the principal subspace of the GCN representation spaces with respect to the backbone rigidity. The organization in the representation space adaptively changes with the training and through the NN layers, which might facilitate a subsequent prediction of target properties based on the relationships between the structure and the property. The GCN models are found to provide an advantage to automatically extract a backbone rigidity, strongly correlated with Tg, as well as a potential transferability to predict other properties associated with a backbone rigidity. Our results indicate both the capability and limitations of the GCN in learning to describe polymer systems depending on the property.