Miracle-dz/UniFAR-FTUs huggingface dataset:
The determinants of collateral circulation status in patients with chronic cerebral arterial circle occlusion: A STROBE Study

The condition of collateral pathways is an important predictor of stroke prognoses; however the major determinants of collaterals are still unknown. The purpose of this study is to identify potentially determinants for collateral circulation status in patients with chronic occlusion of cerebral arterial circle. All patients with chronic occlusion of either unilateral internal carotid artery or middle cerebral artery M1 or M2 segment, diagnosed by digital subtraction angiography at the neurology department of the First Medical Centre of Chinese PLA General Hospital from January 2015 to December 2017, were retrospectively collected in our sample. After screening according to inclusion and exclusion criteria, the patients’ relevant clinical data were collected and analyzed. Collateral circulations were assessed by 2 independent raters using the American society of interventional and therapeutic neuroradiology/society of interventional radiology flow-grading system. Baseline characteristics (n = 163): our sample consists of 116 (71.2%) male and 47 (28.8%) female patients with an average age of 57.5 ± 11.9 years. Cerebral collateral flow was poor in 59 (36.2%) patients. Our univariate analyses showed that poor collateral circulation was associated with lower high-density lipoproteins cholesterol (HDL), elevated homocysteine levels, aging and hyperlipidemia. A multivariate analysis identified HDL, homocysteine levels and ageing as major predictors for collateral circulation status. In the subgroup analysis, the HDL contributed to collateral angiogenesis internal carotid artery occlusion group. In the middle cerebral artery occlusion group, the homocysteine and ageing were related to the poor collateral status. Low HDL, high levels of homocysteine and ageing are identified as possible risk factors for a poor collateral vessel blood flow in patients with chronic anterior circulation occlusion.
Monthly and seasonal variations in vestibular neuritis

Seasonal variations in vestibular neuritis (VN) could support the etiology of viral infection. However, several recent studies revealed no significant seasonal variations in VN. Further studies are necessary to determine the etiology of VN. We analyzed patients with VN to evaluate monthly and seasonal variations. Patients with VN who visited our otorhinolaryngology department or were referred to our department from the emergency department between March 2014 and February 2019 were included retrospectively in this study. Differences among the months and seasons of VN visits were analyzed. Patients were divided into 2 groups according to sex and age (65 years or older and younger than 65 years). Differences among the months and seasons of VN visits were analyzed between groups. There were no significant differences in monthly and seasonal distributions in 248 patients with VN. There were also no significant differences in monthly and seasonal distributions in male and female patients or in older and younger patients. There were no significant differences in monthly or seasonal distributions of patients with VN. Factors other than viruses, such as vascular ischemia, should also be considered in the incidence of VN, especially in older patients.
Neural Network-Based Identication and Approximate Predictive Control of a Servo-Hydraulic Vehicle Suspension System

Abstract| This paper presents multi-layer feed-forward neural network-based identi cation and ap-proximate predictive controller (NNAPC) for atwo degree-of-freedom (DOF), quarter-car servo-hydraulic vehicle suspension system. The nonlineardynamics of the servo-hydraulic actuator is incorpo-rated in the suspension model. A suspension travelcontroller is developed to improve the ride comfortand handling quality of the system. A SISO neuralnetwork (NN) model based on Nonlinear AutoRegres-sive with eXogenous input (NARX) is developed us-ing input-output data sets obtained from mathemat-ical model simulation. The NN model was trainedusing Levenberg-Marquardt algorithm. The NNAPCwas used to predict the future responses that are op-timized by cost minimization. The proposed con-troller is compared with a constant-gain PID con-troller (based on Ziegler-Nichols tuning method) dur-ing suspension travel setpoint tracking in the presenceof deterministic road disturbance. Simulation resultsdemonstrate the superior performance of the NNAPCover the generic PID - controller in adapting to thedeterministic road disturbance.Keywords: Neural Networks, Model Predictive Con-trol, PID Control, Ride Comfort, Suspension System,Servo-hydraulics, Handling Quality.
Context-Aware Data Analytics for Activity Recognition

— Remote Health Monitoring Systems are gaining an important role in healthcare by collecting and transmitting patient information and providing data analytics techniques to analyze the collected data and extract knowledge. Physical activity recognition and indoor localization are two of the most important concepts in assistive healthcare, where tracking the positions, motions and reactions of a patient or elderly is required for medical observation or accident prevention. In this paper, we propose a novel context-aware data analytics framework to classify and recognize the physical activity based on the signals received from a worn SmartWatch, the location information of the human subject, and advanced machine learning algorithms. In this approach, we take into account the physical location of the human subject as contextual information to improve the accuracy of the activity classification. The hypothesis is that the location information can get involved in classifier decision making as a prior probability distribution to help improve the accuracy of activity recognition. The results demonstrate improvements in accuracy and performance of the activity classification when applying the proposed method compared to conventional classifications.
Functional Redundancy of Paralogs of an APC/C Subunit in Caenorhabditis elegans Miosis

The Anaphase Promoting Complex/Cyclosome mediates the metaphase-to-anaphase transition by instructing the ubiquitination and turnover of key proteins at this stage of the cell cycle. We have recovered a gain-of-function allele in an APC5 subunit of the Anaphase Promoting Complex/Cyclosome. This finding led us to investigate further the role of APC5 in Caenorhabditis elegans , which contains two APC5 paralogs. We have shown that these two paralogs, such-1 and gfi-3, are co-expressed in the germline but have non-overlapping expression patterns in other tissues. Depletion of such-1 or gfi-3 alone does not have a notable effect on the meiotic divisions, however, co-depletion of these two factors results in meiotic arrest. In sum, the two C. elegans APC5 paralogs have a redundant function during the meiotic divisions. MAT-3 av9gf gain-of-function allele of one of the APC5 paralogs, such-1 the such-1(h1960ts) loss-of-function allele and APC5 RNAi paralogs gfi-3 function meiotic
Optimera användningen av virtuella maskiner i Azure med maskininlärning

This report describes a project that is about examining the possibilities to optimize the utilization of virtual machines in Microsoft Azure using machine learning. The thesis has been done at the company Atea Global Services (AGS). Virtual machines is a Azure service that AGS uses. However could these virtual machines be running without really being used. Services in Azure are not for free and when using a service like virtual machines companies are being charged be per minute. This means that AGS pays unnecessary expenses for the virtual machines that are running when they are not being used. Using an Azure service called Machine Learning Studio, a user pattern for when a virtual machine was being used was developed. An application has been developed that turns on or off a virtual machine based on user patterns from Machine Learning Studio. AGS can choose whether they want to continue working on the project or to take advantage of it right away to cut back on costs.
Edinburgh Explorer Transposon Insertion Sequencing Elucidates Novel Gene Involvement in Susceptibility and Resistance to Phages T4 and T7 in O157

Experiments using bacteriophage (phage) to infect bacterial strains have helped deﬁne some basic genetic concepts in microbiology, but our understanding of the complexity of bacterium-phage interactions is still limited. As the global threat of antibiotic resistance continues to increase, phage therapy has re-emerged as an attractive alternative or supplement to treating antibiotic-resistant bacterial infections. Further, the long-used method of phage typing to classify bacterial strains is being replaced by molecular genetic techniques. Thus, there is a grow-ing need for a complete understanding of the precise molecular mechanisms under-pinning phage-bacterium interactions to optimize phage therapy for the clinic as well as for retrospectively interpreting phage typing data on the molecular level. In this study, a genomics-based ﬁtness assay (TraDIS) was used to identify all host genes involved in phage susceptibility and resistance for a T4 phage infecting Shiga-toxigenic Escherichia coli O157. The TraDIS results identiﬁed both established and previously unidentiﬁed genes involved killing certain dangerous bacterial species, such as E. coli O157. During this study, a novel gene involved in phage resistance was identiﬁed, the stringent starvation protein A gene, and the entire sap operon was implicated in phage infection for the ﬁrst time, providing evidence for the molecular basis for the E. coli O157 phage typing scheme. Further work identifying unknown host factors involved in successful phage lysis, or in resistance to it, would be helpful in the development of phage therapy or novel drug targeting.
CONSERVATIVE VS LAPAROSCOPIC CHOLECYSTECTOMY IN RELATION TO THE SIZE & NUMBER OF GALL BLADDER STONES AND ASSOCIATED FACTORS AFFECTING DECISION-MAKING

: Approximately 10-15% of the adult population in Saudi Arabia complains of symptomatic gallbladder stones. Laparoscopic cholecystectomy is the gold standard to treat people who present with acute cholecystitis. However, there is evidence suggesting that the conservative management can be effective and safe in treating asymptomatic patients. The purpose of this study is to identify the factors that affect decision-making to treat patients with either the conservative or the operative approach. Those factors include different size of stones, number of stones, and symptomatic stones. The study was conducted at the Department of General Surgery at King Fahad University Hospital- IAU in al-Khobar city, Saudi Arabia. Data were collected from hospital archives using medical records with a biased sampling technique. Data from 113 patients who had gallstones disease for a period of one year were collected. 89.4% of patients who had gallstones were treated with laparoscopic cholecystectomy (LC), while 10.6% received a conservative therapy. Most of patients with a mean age between 20-49 years had surgery and most of them were females. Management type was not significantly associated with different sizes of stones, number, or presence of obstruction. Symptomatology and severity of symptoms were significantly associated with the LC group where severe symptomatic patients were treated surgically, while mild symptoms received conservative therapy. Complete recovery from symptoms was approximately the same in both groups.
HOME AUTOMATION USING RESBERRYPI & CLOUD

The Cloud Computing provides native multicast support, content-based security, in network caching, and easy data access, which can be especially useful in the Internet of Things(IOT), and Resberry Pi is model to control the real time object. In this paper, the attention is on the design of an ICN framework tailored to the smart home domain, considered as a major representative of IoT scenarios. The proposed solution encompasses the definition of a flexible and expressive naming scheme that supports data/command exchanges and configuration/ management operations, and also fits the common service models in the smart home domain (i.e., push, pull, multi-party). Use cases are provided to shed light on the system behavior and preliminarily assess its potential and performance.
UTILIZATION OF SOME FOOD PROCESSING WASTES AS A FAT REPLACERS IN CAKES

This study was proposed to investigate the possibility of utilization of some food processing wastes (i.e. whey protein concentrate and orange peels) as a fat replacers in cakes and there effects on the physical, chemical, sensory quality and nutritional characteristics. Results indicated that the use of mentioned fat replacers could be increase and sensory quality characteristics in low-fat cakes. Butter could be replaced up to70% by whey protein concentrate and orange peels in cakes which were comparable to their full-fat cakes. Additionally some nutritional benefits were achieved as a results of fat replacers such as decreases in fat content and caloric value in all cases, beside the increase in protein content in case of using whey protein concentrate and increased crude fiber in case of use orange peels . Biological evaluation using experimental rats showed significant decrease in total cholesterol, triglyceride, low density lipoprotein (LDL) and liver enzymes (GOT),(GPT) and showed increased in high density lipoprotein (HDL) in rats fed on the fat-replaced cakes. Additionally, such replacement has achieved many nutritional and health benefits when consuming the produced low-fat bakery products.
Aerosols Monitored by Satellite Remote Sensing Aerosols Monitored by Satellite Remote Sensing

Aerosols, small particles suspended in the atmosphere, affect the air quality and climate change. Their distributions can be monitored by satellite remote sensing. Many images of aerosol properties are available from websites as the by-products of the atmospheric correction of the satellite data. Their qualities depend on the accuracy of the atmospheric correction algorithms. The approaches of the atmospheric correction for land and ocean are different due to the large difference of the ground reflectance between land and ocean. A unified atmospheric correction (UAC) approach is developed to improve the accuracy of aerosol products over land, similar to those over ocean. This approach is developed to estimate the aerosol scattering reflectance from satellite data based on a lookup table (LUT) of in situ measured ground reflectance. The results show that the aerosol scattering reflectance can be completely separated from the satellite measured radiance over turbid waters and lands. The accuracy is validated with the mean relative errors of 22.1%. The vertical structures of the aerosols provide a new insight into the role of aerosols in regulating Earth's weather, climate, and air quality.
A novel technique for Thai document plagiarism detection using syntactic parse trees

The act of plagiarism is a serious offense and all involved parties will be penalized according to most Thai university rules. The lack of effective tools for plagiarism detection in the Thai language is a problem for academic and research institutes in Thailand. A practical framework and detection tool would facilitate the development of academic integrity and honesty. This paper presents an effective alternative method to detect plagiarism in Thai academic articles utilizing a syntactic parse tree technique (SPT). The main concept of this method is the dynamic weighing of each sentence according to the roles of its words. The experimental results, empirically compared with three existing tools: tri-grams, semantic role labeling (SRL), Turnitin and Akarawisut, yield comparable or higher precision and recall in all four plagiarism study cases of word-by-word, word-reordering, modifier-insertion, and synonym-replacement plagiarism. SPT shows promise and should be incorporated in similarity comparison tools to improve the accuracy of plagiarism detection in the Thai language.
I MPROVING I NTERPRETABLE G ENRE R ECOGNITION WITH A UDIO F EATURE S TATISTICS B ASED ON Z YGONIC T HEORY

Automatic music genre recognition helps to organise music collections and discover new music pieces. However, state-of-the art classiﬁcation models often lack of comprehensibility for listeners or musicologists, either because they are based on low-level audio descriptors or complex neural network architectures which operate as black boxes. In this work, we propose novel and interpretable statistics derived from zygonic theory and estimated for discre-tised audio features. These statistics describe repetitive or similar patterns with respect to meaningful musical properties like energy, harmony, instrumentation, tempo, and rhythm. Compared to the baseline from previous work, which builds models with comprehensible semantic features, we show that for most of tested genres and styles the classiﬁcation performance increases when semantic features are combined with statistics based on zygonic theory, and the most relevant dimensions are stored after feature selection.
Enhanced Design Conditions for Decentralized State-Space Control of Systems with Relevant Interactions

—New points of view to the problems concerning the de- centralized control of a class of large-scale systems with relevant subsystems interactions are presented in the paper. The problems are transformed into enhanced design conditions through slack matrices until global asymptotic stability of the complete system is pursued using Lyapunov approach. As results, a sufﬁcient condition for the existence is formulated in terms of linear matrix inequalities while the impact of interconnection uncertainties is minimized using H 1 approach. The decentralized controllers proved to globally stabilize the system, both in noiseless and noisy conditions.
FULL INVESTIGATION OF THE MATRIX EQUATION AX + XB = C AND SPECIFICALLY OF THE EQUATION AX − XA = C

In the paper, the matrix equations AX − XA = C and AX + XB = C (the Lyapunov equation) are fully investigated and solved if a solution exists. As special cases, exact expressions for the resolvent of the equation ( E − A ) X = 0 are obtained for a ﬁnite-dimensional operator A and the Fredholm equation of the second kind is studied completely in the ﬁnite-dimensional case. The form of a matrix C with nonnegative entries is found such that it is the commutator of a given matrix A with nonnegative entries and some other matrix X with nonnegative entries.
Case Series Cracking the Coronary Calcium with IntraVascular Lithotripsy

Intervention in calcified coronaries remains a particular challenge as it is tough to crack the calcium with semi-compliant balloon dilatation. Coronary calcium is cracked with the non-compliant balloon, cutting balloon, scoring balloon, and rota ablation. Intravascular lithotripsy (IVL) has emerged now as a new modality to crack the coronary calcium and bring successful outcomes in coronary angioplasty. We present a case series of two cases where we cracked multi-vessel high dense coronary calcium with IVL and stented the coronary segments with drug-eluting stents to bring good angiographic results and Thrombolysis in Myocardial Infarction (TIMI) III flow.
Measurement of Human Immunodeﬁciency Virus Type 1 Preintegration Transcription by Using Rev-Dependent Rev-CEM Cells Reveals a Sizable Transcribing DNA Population Comparable to That from Proviral Templates (cid:1)

Preintegration transcription is an early process in human immunodeﬁciency virus type 1 infection and has been suggested to occur at a low level. The templates have also been suggested to represent a small population of nonintegrated viral DNA, particularly the two-long-terminal-repeat (2-LTR) circles. However, these deter- minations were made by either using PCR ampliﬁcation of viral transcripts in bulk cell populations or utilizing the LTR-driving reporter cells that measure the synthesis of Tat. The intrinsic leakiness of LTR often makes the measurement of low-level viral transcription inaccurate. Since preintegration transcription also generates Rev, to eliminate the nonspeciﬁcity associated with the use of LTR alone we have developed a novel Rev- dependent indicator cell, Rev-CEM, to measure preintegration transcription based on the amount of Rev generated. In this report, using Rev-CEM cells, we demonstrate that preintegration transcription occurs on a much larger scale than expected. The transcribing population derived from nonintegrated viral DNA was comparable (at approximately 70%) to that derived from provirus in a productive viral replication cycle. Nevertheless, each nonintegrated viral DNA template exhibited a signiﬁcant reduction in the level of transcriptional activity in the absence of integration. We also performed ﬂow cytometry sorting of infected cells to identify viral templates. Surprisingly, our results suggest that the majority of 2-LTR circles are not active in directing transcription. It is likely that the nonintegrated templates are from the predominant DNA species, such as the full-length, linear DNA. Our results also suggest that a nonintegrating lentiviral vector can be as effective as an integrating vector in directing gene expression in nondividing cells, with the proper choice of an internal promoter.
Late INa in the Heart

In this issue of Circulation , Glynn and colleagues1 make an important contribution to our understanding of the physiological and pathophysiological roles of late sodium current ( I Na) in the heart, with a focus on a key pathways regulating late I Na amplitude. They conducted well-designed and detailed studies with 2 new genetically engineered mouse lines: an S571A mouse that ablates phosphorylation by Ca2+/calmodulin-dependent kinase II (CaMKII)2 selectively at serine 571 (S571) in the cardiac Na channel pore-forming protein Scn5a and an S571E mouse that mimics phosphorylation at S571. S571 was shown previously to be a target for phosphorylation by CaMKII, and this phosphorylation enhanced late I Na.2 The present studies in “knock-in” mice expressing either S571A or S571E have distinct advantages over earlier studies in heterologous expression systems, including cultured myocyte models, because they allow the study of whole-animal and organ phenotypes and cellular and molecular biophysical properties in a more native environment. These new in vivo studies reveal that, despite the extensive network of CaMKII targets, phosphorylation of S571 selectively regulates late I Na and, in particular, enhanced late I Na in failing heart. Article see p 567 Peak I Na is the large inward current flowing mainly through the cardiac Na+ channel pore formed by Scn5a, which is part of a larger sodium channel macromolecular complex. Members of this macromolecular complex act to localize the complex and to regulate I Na.3 With the onset of the action potential (AP) in the myocardium, the peak I Na rapidly rises and decays to nearly zero over several milliseconds. This I Na spike underlies excitability and conduction in working myocardium and the Purkinje conduction system. In contrast to peak I Na, late I Na is a small inward current, usually …