Miracle-dz/UniFAR-FTUs huggingface dataset:
Treatment of chronic internal carotid artery occlusion by ipsilateral external carotid endarterectomy

Abstract Chronic complete occlusion of the internal carotid artery (ICA) is a common and important cause of ischemic cerebrovascular disease, which can be treated in many ways: antithrombotic and anticoagulant agents, direct or indirect procedure for revascularization. However, there is still no evidence to prove which method is the most effective. Here we reported a case showed the successful endarterectomy of the external carotid artery (ECA) for a chronic complete occlusion of ICA patient. A 50-year-old male patient presented with progressively aggravated left-sided limb weakness and limb cold feeling. Digital subtraction angiography (DSA) showed ICA occlusion and ipsilateral ECA stenosis. The right ECA compensated for blood supply to the middle cerebral artery (MCA) through the accessory meningeal artery and ophthalmic artery. The patient was treated by endarterectomy of ipsilateral ECA (ECEA). In the second day after operation, the symptom was improved significantly. Surprisingly, both ICA and ECA were recanalized and the metabolism of the affected brain tissue was also increased. In conclusion, patients with chronic complete occlusion, ECEA would also be an effective therapeutic method.
Projet ANR-12-MONU-OOO 3 DIONISOS . Rapport D 2 . 1-1 : Detection et estimation pour les sources bande étroite

Le présent rapport résume les travaux effectués dans le cadre du WP2 consacré aux problèmes de détection et estimation pour les sources bande étroite. Nos travaux ont concerné l’étude de méthodes sous-espace d’estimation des angles d’arrivées de sources bande étroite utilisant un grand réseau de capteurs, la détection et l’estimation en bruit corrélé, les tests de sphéricité en grande dimension, l’analyse d’estimateurs robustes de matrice de covariance appelés M -estimateurs, et l’étude des propriétés de l’estimateur standard du tenseur des cumulants d’ordre 4 en grande dimension qui est lié au comportement d’algorithmes de séparation aveugle de sources. Ces travaux ont donné lieu aux publications ou aux pré-publications suivantes:
OPSI: The indexing system of PyTables 2 Professional Edition

In a world that is continuously providing enormous amounts of data (be it from satellite teledetection, industrial/biological sensors or historical data for financial use, among many other sources), the need to quickly search through it and discover its interesting trends is becoming more and more important. Indexing is the process that allows to extract the interesting bits of information out of these oceans of data in a very short time, thus making possible the analysis of huge amounts of data. PyTables is a hierarchically-organized database that is focused on dealing with such large data scenarios. In PyTables 1.x series, indexing was implemented using a simple approach, so-called PSI, that worked fine for medium sized tables, but that was not very efficient for dealing with large ones. With the advent of PyTables 2.0 Pro, we are introducing OPSI, a completely new implementation of the indexing engine that significantly improves look-up times for all sizes of tables, and most specially for very large ones (> 100 millions of rows). In addition, the new implementation provides an innovative feature that lets the user create indexes having a certain level of quality, allowing her to select the one that is best suited to her particular needs. This article describes the implementation of this new indexing system, while showing experimental figures about its performance.
Natural gas power plants in California ’ s disadvantaged communities

Power plants are often disproportionately located in low-income and minority communities [1, 2, 3], due to either initial siting in these communities or subsequent growth of such communities near power plants after they are built. Pollution from fossil fuel-fired power plants has health impacts over broad regional areas, and poor air quality from resultant particulate matter and ozone can have health impacts ranging from asthma attacks to heart attacks [4, 5, 6]. While these health impacts extend hundreds of miles from the power plant stack, studies have also found an association between living near power plants and adverse health outcomes such as increased emergency hospital visits among the elderly [7], pre-term births [8], and respiratory-related hospital visits [9]. Low-income and minority communities often experience high cumulative socioeconomic and environmental health burdens, and these communities have also been found to have more adverse health outcomes in response to environmental health stressors such as poor air quality [10, 11]. California has largely phased out the use of coal and oil in its power plants, but 49% of in-state electricity generation came from natural gas in 2016 [12]. Burning natural gas emits nitrogen oxides, which can contribute to the formation ozone and particulate matter.
Making a Contribution to Entrepreneurship Research by Studying Crowd-Funded Entrepreneurial Opportunities

This editorial outlines our perspective on the state of literature as well as suggestions for new contributions to entrepreneurship research in the area of crowd-funded opportunities. Our aim is, first, to outline what we see as best practices for research on crowd-funded entrepreneurial opportunities. Second, we aim to solicit additional articles for the Virtual Special Issue (VSI) on “Crowd-Funded Entrepreneurial Opportunities” in Entrepreneurship Theory and Practice. In contrast to typical editorial articles associated with special issues, we take a prospective approach and outline what we hope (and expect) to see in the literature in the future. Put differently, we are not going to summarize a subset of articles that have been accepted for publication—rather, we are going to delineate the subset of articles to be written that we would, ideally, like to see submitted to top-tier entrepreneurship journals in order to advance the literature. Along the way, we will describe best practices that we anticipate can elevate research in this burgeoning area of inquiry.
Improving Credit Scoring Quality through Virtual Organization (VO) Formation

A Virtual Organization (VO) that includes a set of legally independent entities, is applied to the financial services industry with an objective to improve the quality of information products and hence the social welfare. This paper proposes a simple VO that includes participants in a financial service industry such as lenders, credit bureaus, and credit information providers. The credit information providers agree to provide accurate credit information to the credit bureau in a timely manner in exchange of a payment associated with each piece of information provided. The simple VO model developed here comprises only one lender, a credit bureau, and multiple consumers with varied default probabilities. Monte Carlo simulation results suggest that a higher price of information charged to the lender by the credit bureau leads to higher credit score quality. The simulation also shows that the lender’s expected loss is a U-shape function in the price of information, the only decision variable in the simple model. Based on these results the paper provides an outline of an enhanced and more realistic VO model that would have multiple competitive lenders and other agents whose decisions mutually impact each other. A new hybrid simulation tool that combines agent-based simulation and stochastic simulation is also suggested.
Expression and clinical significance of multi-drug resistance associated protein and P-glycoprotein in non-small-cell lung cancer

Objective To observe the expression of the multi-drug resistance associated protein(MRP) and P-glycoprotein(P-gp) in non-small cell lung cancer(NSCLC) tissues, and the relationship between MRP,P-gp and the prognosis of patients' conditions. Methods The expressions of MRP and P-gp in NSCLC were measured by using the S-P immunohistochemistry. Results Among the 42 cases, the positive rate of MRP in NSCLC was 45.2%,the expression of MRP in adeno-carcinoma was higher than that in squamous carcinoma(P 0.05); the positive rate of P-gp in lung cancer tissue was 40.4%,the expression of P-gp was not related to patients' sex,age,clinical stage, differentiation degree of tumor cells(P 0.05),the expressions of P-gp and MRP had positive correlation in lung cancer (P 0.01). The non-tumor survival rate of three year postoperative of negative patients with MRP and P-gp in lung cancer was longer than that in the positive patients with MRP and P-gp (P 0.05). Conclusion P-gp and MRP can be taken for a referential index to judge the clinical effect of the chemotherapy and evaluate prognosis of patients with lung cancer.
EFM: Elastic Flash Management to Enhance Performance and Lifetime of Flash Memory

NAND-based flash memory has become a prevalent storage media in many storage systems for supporting big data applications due to its fast access time and higher performance. There are trade-offs between lifetime and access latencies in NAND-based flash memory. By setting up different incremental step pulse programming (ISPP) values and threshold voltages, these trade-offs can be exploited. Recently, researchers use these trade-offs to improve either the performance or the lifetime of flash memory. However, these existing studies mostly based on simple heuristics. In this paper, we first develop a comprehensive model of different physical regions according to their ISPP values and threshold voltages. Then a new Elastic Flash Management scheme, called EFM, is proposed to allocate and migrate data in these regions to improve the overall performance and prolong the lifetime of flash memory at the same time. A Long-Term Classifier (LT-Classifier) and a Short-Term Classifier (ST-Classifier) are proposed to decide which region to allocate/migrate the incoming requests based on their data access patterns in the past and read/write latencies of each region. Moreover, as flash memory wearing out after certain usage, the EFM scheme can be adjusted based on the changed read/write latencies to further improve the performance. To prolong the lifetime of flash memory, we propose a reduced effective wearing management by scheduling write-intensive workloads to the region with a reduced threshold voltage. In our experimental results, the EFM scheme can reduce the average read/write latencies by 53.9% 2.96x when compared to those of the previous studies.
Activity Recognition by Learning from Human and Object Attributes

Human-robot teaming is crucial to the success of many real-world applications, from search and rescue to home assistance. A robot must be capable of quickly and accurately recognizing activities of its human teammate. In this paper, we develop a new approach to human activity recognition, through simultaneously learning from observations of the teammate and of the attributes of objects involved in the activity. We propose to formulate activity recognition as a joint optimization problem that adopts structured sparsity to identify discriminative body parts and object attributes, and utilizes a regression-like loss function to integrate teammate and object cues to perform realtime activity recognition. To assess our approach, we perform preliminary experiments on a physical robot in a practical home assistance scenario.
Clinical effect of non-small cell lung cancer treated by combined chemotherapy with Zhongliuan Capsule

AIM: To observe the clinical efficiency and side effects of non-small cell lung cancer treated by combined Zhongliuan Capsule and chemotherapy. METHODS: Randomism,double-blindness and comparison has been adopted during the test.Four hundred and thirty two lung cancer patients were randomly divided into two groups,the treatment group(Group A,324 patients) and the control group(Group B,108 patients). Patients in group A were treated with combined chemotherapy with Zhongliuan Capsule.Patients in group B were treated with combined chemotherapy with placebo.Zhongliuan Capsules or placebos were given 6 pills,three times a day,21 days as one cycle.After 2 cycles of treatment,chemotherapy passed rate,toxicity,living quality,body weight,symptoms of TCM,the size of tumor, side effects,were analysed. RESULTS: The incidence rate of adverse reactions of group A was lower than that of the group B after 1 or 2 cycles of treatment(P0.05 or P0.001). The incidence rate of adverse reactions of group A after 2 cycles of treatment was lower than that of 1 cycles treatment,but group B was higher(P0.01). The effective rate of the living quality,clinical symptoms,symptoms of TCM and body weight of group A were higher than those of group B(P0.05或P0.001). However,there was no significant difference between two groups of the chemotherapy passed rate,the size of tumor,vital signs,electrocardiogram,blood routine test,urine routine test,stool routine test,liver function test,renal routine test,bleeding and coagulation function(P0.05). All adverse events of two groups were not related to the drugs. CONCLUSION: It is safe and effective to treat non-small cell lung cancer with QI-deficiency mingled with sputum and blood coagulation symptom combined chemotherapy with Zhongliuan Capsule.
Does team psychological capital predict team outcomes at work?

This study is situated in the paradigms of positive organizational scholarship (POS) and positive organizational behaviour (POB). It draws upon the theoretical mechanisms of social learning and emotional contagion to suggest that psychological capital may spread through work teams to impact team outcomes such as performance, innovation, and organizational citizenship behavior (OCB). The degree to which team psychological capital (TPsyCap) mediated the relationship between leader psychological capital (LPsyCap) and team outcomes was also tested (n = 94 teams; n = 94 leaders; n = 550 employees). Using structural equation modelling, LPsyCap and TPsyCap were both related to team-level organizational citizenship behavior, team performance, and team innovation. However, the relationship between LPsyCap and TPsyCap was not significant. These findings support the positioning of psychological capital as an important resource for optimal team functioning but also suggest that workplaces cannot expect that leaders, through their own psychological capital alone, can create team-level psychological capital. Instead, the current research suggests that other organizational initiatives and experiences are needed to enhance LPsyCap. The results contribute to a better understanding of POS and POB in general and, specifically, to the recently emerging construct of team psychological capital.
University of Birmingham SpectralAnalysis: software for the masses

The amount of data produced by spectral imaging techniques, such as mass spectrometry imaging, is rapidly increasing as technology and instrumentation advances. This, combined with an increasingly multi-modal approach to analytical science, presents a signi(cid:12)cant challenge in the handling of large data from multiple sources. Here we present software that can be used through the entire analysis work(cid:13)ow, from raw data through preprocessing (including a wide range of methods for smoothing, baseline correction, normalisation, and image generation) to multivariate analysis (for example memory eﬃcient PCA, NMF, MAF and PLSA), for datasets acquired from single experiments to large multi-instrument, multi-modality, multi-center studies. Spec-tralAnalysis was also developed with extensibility in mind to stimulate development, comparisons and evaluation of data analysis algorithms.
MONOTONE ITERATIVE METHOD FOR WEIGHTED FRACTIONAL DIFFERENTIAL EQUATIONS IN BANACH SPACE

Differential equations of fractional order have been recently proved to be valuable tools in the modeling of many physical phenomena [20]. There has been a significant theoretical development in fractional differential equations in recent years, see the monographs of Abbas et al. [1], Kilbas et al. [15], Podlubny [26], Somko et al. [27]. The monotone iterative technique, combined with the method of upper and lower solutions, is a powerful tool for proving the existence of solutions for nonlinear ordinary differential equations in abstract spaces [25]. Also many people paid attention to the existence result of solution of the initial value problem for fractional differential equations involving Riemann-Liouville fractional derivative of order 0 < α < 1, see [5, 34]. In [31], the lower and upper solution method was used to study the IVP
How TradeLens Delivers Business ValueWith Blockchain Technology

Proof-of-concept and prototype blockchain initiatives have been attracting widespread attention to the commercial use of this technology. As of 2018, however, there were very few examples of blockchain technology being deployed in live operational solutions in a way that delivers business value.3 This article describes the TradeLens solution, which includes blockchain technology for key participants in the global container shipping industry. We trace TradeLens’ journey from initial prototypes, to pilots, to live deployment, to commercialization. Five of the six largest container shipping carriers have signed up with TradeLens, which between them account for more than half of the world trade transported by the global supply chains that rely on container shipping. TradeLens is extending the scope of its services beyond maritime shipping toward the ends of the supply chains by engaging shippers, governmental authorities, and other service providers. Although TradeLens still has a long way to go in terms of reaching a critical mass of users, it has been deployed and is ready to start delivering business value. TradeLens is a broad technological solution, in which blockchain technology plays a key role in enabling the trusted exchange of information between players in the container shipping industry. TradeLens is designed to provide information to authorized participants in a supply
IMPROVING E-PERFORMANCE BY END-USER APPLICATION DEVELOPMENT

In order to be successful, e-Learning has to be integrated into the concept of e-Performance and end-users should be motivated in organisations to contribute as application developers and to integrate learning objects into their real workplace environments. In this paper after a short presentation of e-Learning, e-Performance and of end-user application development in the process of learning, we present some practical results and examples of European project work.
Higher Education as a Complex Adaptive System: Considerations for Leadership and Scale

As state policies, economic pressures, and enrollment declines increase pressure on higher education systems to rapidly improve student outcomes in mathematics, many institutions have transformed the way they do business and have adopted mathematics pathways at scale. At the same time, many systems of higher education have struggled to move from piloting mathematics pathways to implementing reforms at a scale that supports every student’s success in postsecondary mathematics. Drawing on complexity science, this chapter presents a conceptual framework for leaders at all levels of higher education systems to design change strategies to adopt mathematics pathways principles at scale. How leaders think about the systems that they work in has material consequences for designing, implementing, and sustaining scaling strategies. The chapter offers a framework and recommendations for understanding higher education as a complex adaptive system and the role of strategic leadership in designing, implementing, and sustaining reforms at scale. Chapter 6 Hartzler, R. , & Blair, R. (Eds.) (2019). Emerging issues in mathematics pathways: Case studies, scans of the field, and recommendations. Austin, TX: Charles A. Dana Center at The University of Texas at Austin. Available at www.dcmathpathways. org/learn-about/emerging-issues-mathematics-pathways Copyright 2019
An Analysis of Ethical Issues in the Newspapers Advertisements of Pakistan

The significance of print media in contemporary local and international societal issues can never be oversight particularly; the influence of such source has broader outcomes and a larger number of targeted audiences. The medium of news through the circulation of newspapers has greater levels of public accessibility even amidst developing and underdeveloped societies. The influence of print media and the demand that it grasps through the means of advertisements deeply appeals the minds of its readers. The dynamics of Eastern culture encompassed through the Islamic traditions however, puts an extended responsibility on the shoulders of the stakeholders of the print media. The Pakistani culture having particular regard for its culture only accommodates the notions of professional journalism and the constructive projection of the news coverage. This research explains that the Pakistani newspapers are highly violating ethics in the publishing of advertisements of different products. These newspapers are focusing more on the projection of the women rather than the message. The media concentration theory is applied to scrutinise the core ethical issues while advertising in the newspapers besides the social and cultural values. The Comparative Legal Method and Conceptualization research procedure used to examine problems of persuasive means of vulgar and explicit advertisements and their positive and negative effects publishing ethical and unethical substances. Overall, this study concludes that the Pakistani print media highly violating the journalistic ethics by promoting vulgarity and explicit paraphernalia.
Getting Research Software to Work: A Case Study on Artifact Evaluation for OOPSLA 2019

Due to new peer-review programs, researchers in certain fields can now receive badges on their papers that reward them for writing functional and reusable research code. These badges in turn make their research more attractive for others to cite and build upon. Unfortunately, some submissions to these new programs do not pass the lowest bar, and many submissions are difficult for reviewers to simply setup and test. To understand how to improve submissions and how to help researchers gain badges, we studied the artifact evaluation process of OOPSLA 2019, an ACM conference on the analysis and design of computer programs. Based on reviewer experiences, we highlight best practices and we discuss whether guidelines, tools, or larger cooperative efforts are required to achieve them. To conclude, we present ongoing and future work that helps researchers share and use research code.
Feasibility of combined anaerobic-aerobic system for textile wastewater contained C. I. Acid Red 88 dye treatment: HRT effects and functional resilience

An integrated continuous anaerobic–aerobic system has been employed as the treatment for synthetic textile wastewater contained C. I. Acid Red 88 dye. A laboratory scale of upflow anaerobic sludge bed (UASB) flowed by activated treatment was operated at hydraulic residence time (HRT) of 24, 12, 6, and 3 h. the system showed high performance on the removal of color and COD within the HRT ranged between 24 and 6 hrs. At different organic loading rates (OLR), the chemical oxygen demand (COD) removal in the UASB was reached to 86.6% and up to 97% were obtained in the aerobic reactor. The system performance appeared to be more resilient to the inapt decrease in the HRT. The experimental analysis results indicated that the maximum methane yield was 13.2 mmol CH4 g COD-1 d-1 at HRT 6 h, and the system is expected to have a better economic performance under HRT 12 h.