Miracle-dz/UniFAR-FTUs huggingface dataset:
Low pericardial fluid glucose concentration combined with computed tomography evaluation as a malignancy-related marker in symptomatic patients undergoing pericardiocentesis: a retrospective study

Background: We evaluated malignancy according to the characteristics of pericardial fluid in symptomatic Japanese patients undergoing pericardiocentesis and computed tomography (CT). Methods: This was a retrospective, single-center, observational study of 125 symptomatic patients undergoing pericardiocentesis. The patients were classified into two groups: a malignancy group and a non-malignancy group, according to the primary disease and cytology of the pericardial effusion (PE). We compared the pericardial fluid sample and CT measurements between both groups.Results: All patients were diagnosed as having exudative PE by Light’s criteria. PE with malignant cells was demonstrated in 76.8% of the malignancy group patients. A ratio of pericardial to serum lactate dehydrogenase (LDH) >0.6 as one of Light’s criteria, and lower serum brain natriuretic peptide (BNP: 126.9±89.8 pg/ml vs 409.2±97.7 pg/ml, malignancy vs non-malignancy groups, respectively; p = 0.037) were associated with malignancy (both, p < 0.05). A significant difference was observed in pericardial fluid glucose level between the malignancy and non-malignancy groups (pericardial fluid glucose: 78.25±48.29 mg/dl vs 98.41±44.85, respectively; p < 0.05). Moreover, CT attenuation values (Hounsfield units (HU)) tended to be higher in the malignancy group vs the non-malignancy group (22.7 [interquartile range (IQR), 17.4–26.0] vs 17.4 [IQR, 13.7–26.4], respectively; p = 0.08). Pericardial fluid glucose level ≤70 mg/dl and CT attenuation values >20 HU were strongly associated with malignancy.Conclusions: Lower pericardial fluid glucose level with higher CT attenuation values may suggest malignancy-related PE.
The Leading Modes of Asian Summer Monsoon Variability as Pulses of Atmospheric Energy Flow

Monsoon rainfall anomalies are often organized into dynamical modes that are more predictable than rainfall at specific locations. Here, a linear response function (LRF) is constructed to extract the neutral modes (NM) of the dynamical atmospheric system and their optimal forcing that govern precipitation variability, providing a dynamical underpinning for the empirically derived, recurrent rainfall patterns. The leading mode (NM1) features a shift in the Atlantic ITCZ, a drying over the Indian Ocean and Indian subcontinent, and a “South‐Flood‐North Drought (SFND)” pattern over Eastern China, a pattern inferable from changes in the atmospheric energy flow forced by the corresponding optimal forcing and further amplified by the water vapor and cloud feedbacks. Moreover, the slow evolving component of the NM1 in response to CO2 forcing can be skillfully predicted by running the ocean heat uptake through the LRF, implicating a deterministic ocean dynamic source for the NM1‐like trend under climate warming.
“We’re Trying so Hard for Outcomes but at the Same Time We’re not Doing Enough”: Barriers to Physical Activity for Australian Young People in Residential Out-of-home Care

ABSTRACT Despite the clear benefits of engaging in regular physical activity (PA), research suggests that young people in Out-of-Home Care (OoHC) are less likely to achieve the recommended levels of PA than their same-aged counterparts in the general community. To date, there has been limited examination of the barriers to PA engagement specific to young people living in residential OoHC. This qualitative study aimed to better understand the barriers and/or challenges to regular PA engagement for young people in residential OoHC. The voice of young people, residential care staff, and key stakeholders in the OoHC sector were included through the use of interviews and focus groups. Three key barriers were identified including: (1) the residential OoHC setting is not conducive to PA; (2) young people require additional support to be physically active; and (3) there are community barriers which impact young people’s engagement in PA. Discussions identified a number of individual barriers or challenges faced by young people, which are impacted or exacerbated by the barriers faced at the system and community level. Findings suggest there is a need for governments, agencies involved in OoHC and community sports and recreation facilities to re-examine current practices and policies and address barriers related to workloads of residential care staff, funding, resource allocations, and capacity to support young people’s participation in PA. The need to take action is urgent and warranted. It is recommended that future intervention approaches develop innovative partnerships—that bring together research, practice, community, and policy resources—to ensure access to PA does not become an equity issue for YP living in residential OoHC.
Efficacy of Intraoperative Hemodynamic Optimization Using FloTrac/EV1000 Platform for Early Goal-Directed Therapy to Improve Postoperative Outcomes in Patients Undergoing Coronary Artery Bypass Graft with Cardiopulmonary Bypass: A Randomized Controlled Trial

Purpose Early goal-directed therapy (EGDT) using the FloTrac system reportedly improved postoperative outcomes among high-risk patients undergoing non-cardiac surgery. This study’s objective was to evaluate the FloTrac/EV1000 platform’s efficacy for improving postoperative outcomes in cardiac surgery. Patients and Methods Eighty-six adults undergoing coronary artery bypass graft (CABG) with cardiopulmonary bypass (CPB) in 2 tertiary referral centers were randomized to the EGDT or Control group. The Control group was managed with standard care to achieve the following goals: mean arterial pressure 65–90 mmHg; central venous pressure 8–12 mmHg; urine output ≥0.5 mL·kg−1·h−1; oxygen saturation >95%; and hematocrit 26–30%. The EGDT group was managed to reach similar goals using information from the FloTrac/EV1000 monitor. The targets were stroke volume variation <13%; stroke volume index 33–65 mL·beat−1·m−2; cardiac index 2.2–4.0 L·min−1·m−2; and systemic vascular resistance index 1600–2500 dynes·s·cm-5·m-2. Results The intensive care unit (ICU) stay of the EGDT group was significantly shorter (mean difference −29.5 h; 95% CI −17.2 to −41.8, P < 0.001). The mechanical ventilation time was also shorter in the EGDT group (mean difference −11.3 h; 95% CI −2.7 to −19.9, P = 0.011). The hospital LOS was shorter in the EGDT group (mean difference −1.1 d; 95% CI −0.1 to −2.1, P = 0.038). Conclusion EGDT using FloTrac/EV1000 can be applied in CABG with CPB to improve postoperative outcomes.
A comprehensive approach to convolutional neural networks‐based condition monitoring of permanent magnet synchronous motor drives

The increasing complexity of modern industrial systems calls for automatic and innovative predictive maintenance techniques. As suggested by the Industry 4.0 process, this demand translates in the need of more‐intelligent drives. Herein, the use of a special kind of neural networks to interpret the data from motor currents for diagnostic purposes is described. The early detection of possible faults in the electrical motor allows programmed maintenance and reduces the risk of unplanned shutdowns. The innovation is in the overall approach to the neural network training, which does not call anymore for a large set of faulty motors. A large training dataset generated using a combination of tuned motor models and some data augmentation techniques is proposed. The result is a comprehensive and effective motor condition monitoring algorithm, whose hearth is a convolutionary neural network trained by a safe and cheap simulation ‐ based dataset. The details of the design are fully reported here. The method has been implemented in the laboratory and fully tested on both healthy and faulty permanent magnet synchronous motors. The generality of the proposed method also paves the way for the detection of other failures and the application to different electrical motors.
A novel and efficient method for the enhanced production of multiple shoots and camptothecin from Ophiorrhiza trichocarpos blume through subculture passages in media of alternating strength

Ophiorrhiza trichocarpos Blume is a herbaceous medicinal plant reported for its high value medicinal compound, camptothecin. The current study describes for the first time an in-vitro method using nodal segments for the mass propagation of O. trichocarpos. Initiation of culture using nodal segment was obtained in quarter strength Murashige and Skoog (MS) solid media containing 0.5 mgL 6-Benzylaminopurine (BAP) and 0.05 mgL Indole 3-acetic acid (IAA) and multiplication was achieved by frequent subcultures using the same hormonal combination. We report that alternating the salt strength of media for subcultures can enhance shoot multiplication as compared to constant salt strength. Maximum shoot proliferation (58.40 ± 3.63) and biomass production (1.22±0.102 g) was obtained in third subculture, thereafter a consistency was achieved. High performance thin layer chromatography (HPTLC) estimation of camptothecin content (0.0426±0.0012 mg/g dwt) was highest in second subculture followed by a reduction in further subcultures. A significant increase in camptothecin was observed in in-vitro shoots (0.0426±0.0012 mg/g dwt) as compared to wild plants cultivated in poly-house (0.0283±0.0031mg/g dwt).
The char of
 migration inhibitory factor
 and
 Cathepsin B
 from Asian swamp eel (
 
 Monopterus albus
 
 ) and their response to challenge with
 
 Aeromonas hydrophila

Aeromonas hydrophila causes sepsis and is responsible for significant economic losses in Asian finless eel ( Monopterus albus ) aquaculture. Previous studies have found that macrophage migration inhibitory factor (MIF) and Cathepsin B (CTSB) may be expressed in many vertebrate tissues and organs. However, there have been no reports discussing the importance of MIF and CTSB in Asian swamp eel. The complete ORF sequences of MAMIF and MACTSB were found to be 348 and 993 bp, respectively. The adaptive analysis showed that the sequences of MAMIF and MACTSB were highly conserved, and only two positive selection sites were identified in MAMIF . Quantitative real time polymerase chain reaction (qRT-PCR) demonstrated that MAMIF and MACTSB genes were expressed in all tissues evaluated with the highest expression occurring in the head kidney, spleen and liver. Challenge with Aeromonas hydrophila resulted in a significant increase in the expression of MAMIF and MACTSB in skin, liver, head kidney and spleen that peaked at 12-h post-infection. The results show that MAMIF and in fish immune responses, which could contribute to a broader understanding of the specific infection mechanism of M. albus . In the present study, we first cloned the full-length cDNA of MAMIF and MACTSB from M. albus and determined their structures. Moreover, to understand the fish immune system and a possible role in immune responses, we examined the expression levels of these genes after injection with A. hydrophila . Our results are the first to report in of amino acid sequence and genomic structure of MIFs and CTSBs M. teleost they might a similar immunological study used site model detect selection pressure. The results showed only two positive selection sites It can be seen that the protein encoded by the MIF gene is mainly affected by neutral drift purification selection at the overall level. No positive selection site identified in CTSB. speculated MIF CTSB genes and the amino acid sequence relatively
Untethered Microrobot Motion Mechanism With Increased Longitudinal Force

The importance of an untethered microrobotic platform that can operate on high flowrate microfluidic channels for in vitro applications is increasing rapidly. This article presents a method to manipulate a microrobot in a fluidic chip when high flowrates (4 ml/min, 82.304 mm/s) are applied. This method is based on a novel permanent magnet-based diamagnetic levitation configuration. This configuration includes a thin layer of pyrolytic graphite, which is placed just below the microrobot. In this way, microrobot stability and manipulation capability are increased. Also, we aim to increase the longitudinal forces imposed on the microrobot to withstand the drag force proportional to the flowrate. Hence, magnetic field lines are generated more linearly around the microrobot by a different combination of permanent magnets. The proposed magnetic configuration, named “KERKAN configuration,” significantly improves the microrobot’s longitudinal forces. In this configuration, two different ring-shaped ferromagnetic magnets are used. One of the magnets has a smaller diameter than the other magnet. A combination of one smaller and one bigger magnet is placed above and below the microrobot. To validate the advantages of this configuration, analytical and simulation studies are conducted. Their results are then compared with experimental results. Experimental results are on par with analytical and simulation studies. KERKAN configuration has a lower displacement than the next best configuration at the highest flowrate we applied (relatively 3301 μm, %21.8).
Classifier Selection in Resource Limited Hardware: Decision Analysis and Resolution Approach

Digitalization, Industry 4.0 and Internet of things (IoT) have become more popular in the recent years. Most of these systems depend on micro-controllers and sensors. These micro-controllers and sensors are mostly cheap, low RAM and low CPU systems; thus, they are resource constrained environments. In this study, a supervised learning classifier comparison technique suitable for resource constrained environments is proposed. This technique, Decision Analysis and Resolution (DAR), is originated in the domain of Software Engineering. First, DAR is explained using an example of car buying scenario. Then 11 off-the-shelf classifiers are compared using DAR for low RAM and less powerful CPU environments in an intrusion detection scenario. This scenario simulated on well-known KDD99 intrusion detection dataset. All the experiments are realized using python scikit-learn package. According to the experiments, Decision Tree classifier is the most suitable to implement for resource constrained environments with a small lead. Results for the other three classifiers (Bagging, Multi Layer Perceptron, Random Forest) are also very similar. To aid the reproducibility of the experiments, the whole source code of the study is provided in the popular open source repository https://github.com/ati-ozgur/classifier-comparison-using-DAR.
Content Prioritization Based on Usage Pattern Analysis

ABSTRACT Providing appropriate help is important in smartphone development as smartphones have become increasingly complex owing to their large number of features. To determine the appropriate help content, numerous studies on contextual help systems have been conducted; however, few studies have been concerned with user manual content. Thus, to provide effective user manuals, we focused on content prioritization, considering the usage pattern. Specifically, we calculated the vector representation of each element of the usage pattern and adopted a heterogeneous embedding approach. Moreover, we embedded the entire usage pattern using RNN-SVAE to calculate a user modeling value for representing user interests. Additionally, we trained InfoGAN (a generative adversarial network) to predict the usage of the user manual, and we prioritized and re-organized its content accordingly. Experiments demonstrated that, compared with existing benchmark methods, the proposed method can achieve better content-usage prediction and more effective prioritization of the top-k contents.
Effect of a Rapid Tooling Technique in a 3D Printed Part for Developing an EDM Electrode

The role of rapid tooling (RT) in additive manufacturing (AM) seems essential in improving and spreading out the vista of manufacturing proficiency. In this article, attempts were made to discover the feasibility and the accomplishments of the RT electrode in the field of electro-discharge machining (EDM). Fused deposition modeling (FDM) is one of the AM processes adopted to fabricate the EDM electrode prototype by coating with copper. The copper is deposited on FDM-built ABS plastic component for about 1 mm through thick electroplating. The copper-coated FDM (CCF) and solid copper (SC) electrodes are used to conduct experiments on a die-sinking EDM machine using tool alloy steel as a workpiece. The CCF polymer electrode can be efficiently used in EDM operations as the build time of any complex shape was substantially reduced. However, the material removal rate (MRR) is far less than that of the SC electrode. It is recommended that the CCF electrode is used for semifinishing and finishing operations in which MRR happens to be less. However, CCF can get spoiled as high temperatures are generated on the machining tool, and the plastic core hardly sustains such high temperatures.
Scalable design methods for online data‐driven wide‐area control of power systems

Funding information National Science Foundation, Grant/Award Number: ECS-1711004 Abstract A novel online system-identification-based control design for damping inter-area oscillations in power systems using supplementary wide-area excitation control is presented. The identification is based on a partly reduced-order and a partly full-order model of the grid. Assuming the grid to be divided into coherent areas with phasor measurement units located across the grid, the coherent states of the generators are averaged while the noncoherent states, such as the internal states of each power system stabilizer, are not. A hybrid state vector consisting of these averaged and non-averaged states is computed, and used for identifying a hybrid linear time-invariant state-space model. A linear quadratic regulator based on this hybrid model is, thereafter, designed. The reduced-order part of the model is found to save significant amount of online time for both learning and control, while the full-order part serves to enhance closed-loop stability. N4SID with randomized singular value decomposition (rSVD) is used for making the identification loop fast. The reduced-dimensional controller is finally implemented using a broadcast control strategy. The design is extended to non-linear models of power systems using Carleman bilinearization. Results for linear and bilinear control designs are validated using the IEEE 68-bus power system model.
Comparison of laparoscopic continuous inverting mattress suture + suction curettage and laparoscopic hysterotomy for exogenous cesarean scar pregnancy(CSP-Ⅱ)

Background:Type II CSP is usually treated by surgery, such as transabdominal, transvaginal, hysteroscopic and laparoscopic resection, It takes a long time for contraception,For patients with urgent fertility requirements, the above methods lack advantages,We are trying to find a safe and effective treatment to shorten the time of contraception.Methods: A total of 41 cases of CSP-Ⅱ were selected from January 1, 2019 to June 30, 2020 in the first people's Hospital of Kunshan City, Jiangsu Province,The patients were divided into two groups, group A(20 cases) was laparoscopic continuous inverting mattress suture + suction curettage,Group B(21 cases) was laparoscopic hysterotomy.Group A was compared with group B:serum β-hCG levels on the first day after operation;Inpatient time;time for serum β-hCG levels to return to normal;HGB on the first day after operation;menstruation recovery time;The differences in the intraoperative blood loss;operation time;The decrease rate of serum β - hCG level on the first day after operation.Results: Group A was compared with group B,serum β-hCG levels on the first day after operation,Inpatient time were not statistically significant (p > 0.05);time for serum β-hCG levels to return to normal,HGB on the first day after operation,menstruation recovery time were statistically significant (p < 0.05),Group A was significantly higher than group B;The differences in the intraoperative blood loss,operation time were significant difference between the two groups (P < 0.05),Group A was significantly lower than group B;The level of serum β - hCG on the first day after operation decreased by 50% in both groups.In group B, the pathology of the excised scar muscle layer showed that there was a little villus tissue in the muscle layer, and a large number of trophoblast cells were seen between the fibrous smooth muscle tissues.Conclusions: In group A,the method is more simple, less bleeding, shorter operation time and less trauma;it also can remove the diverticulum and increase the thickness of the lower uterine segment;the contraception time was shortened,but the decrease of serum β - hCG was slow and the recovery time of menstruation was long.
Advances in multimodal imaging in ophthalmology

Multimodality ophthalmic imaging systems aim to enhance the contrast, resolution, and functionality of existing technologies to improve disease diagnostics and therapeutic guidance. These systems include advanced acquisition and post-processing methods using optical coherence tomography (OCT), combined scanning laser ophthalmoscopy and OCT systems, adaptive optics, surgical guidance, and photoacoustic technologies. Here, we provide an overview of these ophthalmic imaging systems and their clinical and basic science applications.
Natural hazards as political events: framing and politicisation of floods in the United Kingdom

ABSTRACT This study explores how disasters are framed and politicised in the media to provide a systematic assessment of discursive dynamics and external political contexts of natural hazards. Utilising an actor-focused approach, it contributes with knowledge on how politicisation of disaster discourses unfolds. Two similar natural hazard events, the United Kingdom floods of 2005 and 2015, are investigated by means of a content analysis and a political claims analysis. The study finds that a tension between the national government and its contestants following the 2015 floods led to a framing contest which was heavily affected by the external political context at the time. The opposition and journalists constructed a narrative of government failure, not least by intertwining the event with the politically tense situation in the United Kingdom to further populist claims about government spending and EU policies. In 2005, the lack of a comparable external context and polarisation between actors in the media prevented a politicisation of the floods in the immediate aftermath of the disaster. These results illustrate the importance of broader political contexts, even those essentially unrelated to the natural hazard, for the politicisation of a disaster.
Anytime clustering of data streams while handling noise and concept drift

ABSTRACT Clustering of data streams has become very popular in recent times, owing to rapid rise of real-time streaming utilities that produce large amounts of data at varying inter-arrival rates. We propose AnyClus, a framework for anytime clustering of data streams. AnyClus uses a proposed variant of R-tree, AnyRTree, to capture the incoming stream objects arriving at variable rate, and to index them in the form of micro-clusters of hierarchical fashion. The leaf-level micro-clusters produced are aggregated and stored in a logarithmic tilted-time window framework (TTWF). Our extensive experimental analysis shows (i) the capability of AnyClus in handling variable stream speeds (upto 250k objects/second); (ii) its ability to produce micro-clusters of high purity (≈1) and compactness; (iii) effectiveness of AnyRTree in handling noise, capturing concept drift and preservation of spatial locality in the indexing of micro-clusters, when compared to the existing methods. We also propose a parallel framework, Any-MP-Clus, for anytime clustering of multiport data streams over commodity clusters. Any-MP-Clus uses AnyRTree at each computing node of the cluster (for each stream-port) and maintains the aggregated micro-clusters in TTWF. The experimental results on datasets of billions scale show that Any-MP-Clus is scalable, eﬃcient and produces clustering of higher quality.