Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy and safety of endovascular treatment in patients older than 90 with acute ischemic stroke: A retrospective cohort study

Background Endovascular treatment (EVT) for acute ischemic stroke (AIS) with large vessel occlusion (LVO) is the standard of care treatment today. Although elderly patients comprise the majority of stroke patients, octogenarians and non-agenarians are often poorly represented or even excluded in clinical trials. We looked at the safety and efficacy of EVT for AIS with LVO in patients over 90 (Non-agenarians), in comparison to patients aged 80–89 (Octogenarians) and to patients younger than 80 years (<80yrs). Methods A retrospective analysis of patients who underwent EVT in a single stroke center during 2015–2019. Patients were divided into three subgroups based on their age: Non-agenarians, Octogenarians, and patients <80 yrs. The groups were compared based on baseline characteristics and stroke variables. In addition, we compared clinical and radiological outcomes including functional outcomes measured by the modified ranking scale (mRS) at day 90, symptomatic intracranial hemorrhage (sICH), and mortality. Results Three hundred and forty seven patients were included, 20 (5.7%) of them were non-agenarians, 96 (27.7%) were octogenarians and 231 (66.6%) were <80 yrs. No statistically significant differences were found between groups regarding baseline characteristics, cardiovascular risk factors, stroke variables, or successful revascularization rates. Puncture to recanalization time intervals showed an age-related non-significant increase between the groups with a median time of 67.8, 51.6, and 40.2 min of the non-agenarian, octogenarian, and <80 yrs groups, respectively (p-value = 0.3). Favorable outcome (mRS 0–2) was 15% in non-agenarians vs. 13.54% in octogenarians (p-value = 1) and 40.2% in <80 yrs. sICH occurred among 5% of non-agenarians, compared to 4% among octogenarians (p-value = 1) and 2.6% in <80 yrs. The mortality rate at 3 months was significantly higher (55%) in non-agenarians compared to octogenarians (28%) (p-value = 0.03) and to <80 yrs (19.48%). Conclusion EVT in nonagenarians demonstrated a high rate of successful revascularization, whilst also showing an increased rate of sICH when compared to octogenarians. Mortality rates showed an age-related correlation. Although further studies are needed to clarify the patient selection algorithm and identify sub-groups of elderly patients that could benefit from EVT, we showed that some patients do benefit from EVT therefore exclusion should not be based on age alone.
1-Fluoro-4-[(E)-2-nitrovinyl]benzene

The title compound, C8H6FNO2, is almost planar (r.m.s. deviation for the non-H atoms = 0.019 Å) and the conformation across the C=C bond is trans. The C and H atoms of the side chain are disordered over two sets of sites in a 0.56 (3):0.44 (3) ratio. In the crystal, molecules are linked by C—H⋯O interactions, thus forming C(5) chains propagating in [001].
The role of talent development on business performance in Islamic rural banks

The objective of this study is to investigate talent development as a driver for strategic flexibility, digital readiness, and innovativeness and how these affect the business performance. This study used a quantitative approach using surveys from 391 managers and directors of Islamic rural banks in Indonesia, then the data were analyzed using structural equation modelling - partial least square (SEM-PLS). The results show that talent development has positive effects on innovativeness, strategic flexibility, and digital readiness. Moreover, strategic flexibility has positive mediating variables between digital readiness and innovativeness which also lead to business performance. This study provides contribution to the literature by integrating the digital readiness, strategic flexibility and innovativeness toward financial and non-financial performance. It also offers managerial implication that talent development drives those correlations.
Vorwort

Zu den Stärken des International Journal of Practical Theology und anderer internationaler Foren Praktischer Theologie gehört die Sichtbarund Bewusstmachung von Unterschieden und Gemeinsamkeiten im weltweiten Treiben dessen, was – jedenfalls im Wirkraum christlicher Theologietraditionen in bemerkenswerter Einheitlichkeit – „Praktische Theologie“ (Practical Theology) genannt wird. Diese Unterschiede und Gemeinsamkeiten betreffen die Vielfalt der Gegenstände und Themen, aber eben auch die Vielfalt der Methoden und diejenige der Reflexionspraxen, die sich aus den kulturellen, religiösen, wissenschaftssozialisatorischen Traditionen speist, in denen die Verfasserinnen und Verfasser stehen und die sie individuell miteinander verbinden. Das vorliegende Heft ist insbesondere in den beiden zuletzt genannten Hinsichten als exemplarisch zu verstehen. Nicht nur die Spannbreite der kulturellen, religiösen bzw. konfessionellen Hintergründe der Autorinnen und Autoren ist weit, auch diejenige der Verfahrensweisen und Reflexionsmuster: Sie reicht von hermeneutischer Reflexion verschiedener kultureller und religiöser Traditionen (Nevin Reda, Toronto, Kanada; Hee An Choi, Boston, USA) über teilnehmende Beobachtung (Bertram Schirr, Berlin, Deutschland; Armand van Ommen, Aberdeen, Großbritannien) bis hin zu quantitativ-empirischer Arbeit (Autorenteam um Ulrich Riegel, Siegen, Deutschland) und zu Forschungsberichten (Christina Kheng, Manila, Philippinen; Julio Adam, Sao Leopoldo, Brasilien; Robert Martin, Washington, D.C., USA). Sie alle eint das praktisch-theologische Interesse an religiösen Praxen, deren Identifikation, Verstehen und Veränderung. Allerdings finden die so unterschiedlichen Beiträge deshalb noch nicht ohne Weiteres einen Ort im Gesamtprojekt „Praktische Theologie“. Das IJPT sammelt, es ermutigt (oder entmutigt) Autorinnen und Autoren, es initiiert (zu selten) Kontroversen – doch die Aufgabe die so verschiedenen praktisch-theologischen Bestrebungen in eine offene Matrix Praktischer Theologie einzuzeichnen, liegt noch vor uns. Das IJPT ist seit seiner Gründung vor über zwanzig Jahren eng mit der International Academy of Practical Theology verbunden. In Anbetracht dessen, dass deren Zwei-Jahres-Konferenz in diesem Jahr erstmals in Lateinamerika tagte – die
Investigation of the reactivity of 4-amino-5-hydrazineyl-4H-1,2, 4-triazole-3-thiol towards some selected carbonyl compounds: synthesis of novel triazolotriazine-, triazolotetrazine-, and triazolopthalazine derivatives

Abstract The reactivity of 4-amino-5-hydrazineyl-4H-1,2,4-triazole-3-thiol (1) towards several carbonyl compounds was investigated. We have found that on treatment of 1 with isatoic anhydride (2), 1,8-naphthalic anhydride (4), diphenic anhydride (6), pyromellitic dianhydride (8), and tetrabromophthalic anhydride (10), the reaction proceeds to give triazolotetrazine- and triazolophthalazine derivatives in good yields using simple experimental procedures. The structure of the synthesized compounds was confirmed using different spectroscopic data (1H NMR, 13C NMR, mass spectrometry, and elemental analysis). The mechanism of the obtained products was also discussed.
Estimation for a family of life distributions with applications to fatigue

Summary The estimation problem is studied for a new two-parameter family of life length distributions which has been previously derived from a model of fatigue crack growth. Maximum likelihood estimates of both parameters are obtained and iterative computing procedures are given and examined. A simple estimate of the median life is exhibited, shown to be consistent and then compared, favorably, with the maximum likelihood estimate. More important, the asymptotic distribution of this estimate is shown to be within the same class of distributions as the observations themselves. This model, and these estimation procedures, are tried by fitting this distribution to several extensive sets of fatigue data and then some comparisons of practical significance are made.
Behavioral profiling of SLC38A10 knockout mice using the multivariate concentric square fieldTM test

Introduction SLC38A10 is a gene that encodes the SLC38A10 protein, also known as SNAT10. The SLC38 family is evolutionary old, and SLC38A10 is one of the oldest members of the family. It is ubiquitously expressed, and its substrates are glutamine, glutamate, alanine, aspartate, and serine. However, little is known about its biological importance. Methods In the current study, an SLC38A10 knockout mouse was run in the multivariate concentric square fieldTM (MCSF) test. The MCSF test gives the mouse a choice of areas to explore; sheltered areas, elevated and illuminated areas, or open spaces, and a behavioral profile is obtained. The multivariate data obtained were analyzed (i) for each parameter, (ii) parameters grouped into functional categories, and (iii) with a principal component analysis. Results In the trend analysis, knockout mice had a decreased exploratory behavior compared to controls but did not show a distinct grouping in the principal component analysis. Discussion There was not a pronounced difference in the behavioral profile in SLC38A10 knockout mice compared to their wild-type controls, although subtle alterations in zones associated with exploratory behavior and risk assessment in female and male knockout mice, respectively, could be observed. These results imply that a loss of function of the SLC38A10 protein in mice does not drastically alter behavior in the MSCF test.
Enhancing the extraction of SBVR business vocabularies and business rules from UML use case diagrams with natural language processing

Being among the best-selling and most advanced features of model-driven development, model-to-model transformation could help improving one of the most time- and resource-consuming efforts in the process of model-driven information systems engineering, namely, discovery and specification of business vocabularies and business rules within the problem domain. Nonetheless, despite the relatively high levels of automation throughout the whole systems' model-driven development process, business modeling stage remains among the most under re-searched areas throughout the whole process. In this paper, we introduce a novel natural language processing (NLP) technique to one of our latest developments for the automatic extraction of SBVR business vocabularies and business rules from UML use case diagrams. This development remains arguably the most comprehensive development of this kind currently available in public. The experiment provided proof that the developed NLP enhancement delivered even better extraction results compared to the already satisfactory performance of the previous development. This work contributes to the research in the areas of model transformations and NLP within the model-driven development of information systems, and beyond.
A hybrid method for missing value imputation

Missing values are a common incurrence in a great number of real-world datasets, emerging from diverse domains of interest. In research, missing data constitute a significant problem as it can affect the conclusions drawn from them. Considering this, the difficulty of data preprocessing is increasing as selecting an inappropriate way to handle missing information can lead to untrustworthy results. Unfortunately, like in most cases in Machine Learning, there is not a single solution that fits in every task related to the problem. For this reason, many strategies have been proposed to successfully deal with this issue. One of the most well-known, besides efficient, is imputation. Replacing a missing value with an estimation apparently eliminates the problem and provides complete datasets but the difficulty shifts in selecting the right method to impute missing values. A widely used imputation method that can be found in libraries of the most noted statistical and Machine Learning suites is IRMI. In this work, we propose a variant of IRMI in order to maintain the advantages of this famous imputation method, while outperforming its traditional variant used in many Machine Learning software tools. To achieve this, the benefits of boosting as well as decision tree theory are exploiting. To test the efficiency of our method, a series of experiments over 30 datasets was executed, measuring the classification accuracy of the proposed method to prove that outperforms its rivals, which include classic, as well as more sophisticated imputation strategies. Finally, the results of our study are provided, along with the conclusions that arise from them.
A comparative survey of machine learning classification algorithms for breast cancer detection

In this paper four machine learning algorithms are compared in order to predict if a cell nucleus is benign or malignant using the Breast Cancer Wisconsin (Diagnostic) Data Set. The algorithms are K-Nearest Neighbours, Classification and Regression Trees (CART), Naïve Bayes and Support Vector Machines with Radial Basis Function Kernel. Data visualization and Pre-Processing using PCA will help in the understanding and the preparation of the dataset for the training phase while parameter tuning will determine the optimal parameter for every model using R as programming language. Also, 10-fold Cross Validation is used as a resampling method after comparing it with Bootstrapping, as it is the most efficient out of the two. In the end, our comparison shows that the machine learning model that marked the highest Accuracy is the one that is trained using K Nearest Neighbours. Nowadays, one of the most common forms of cancer among women is breast cancer with more than one million cases and nearly 600,000 deaths occurring worldwide annually [1]. It is the second leading cause of death among women and thus it must be detected at an early stage in order not to become fatal [2]. Thus, the importance of diagnosing if a biopsied cell is benign or malignant is vital. However, this process is quite complicated as it involves several stages of gathering and analysing samples with many variables, making the final diagnosis a demanding and timely procedure. The rapid growth of Artificial Intelligence and Machine learning and their implementation in Medicine give us a new perspective in the way we process and analyse medical data. Medical experts can use Data Mining techniques and improve their decision making by extracting useful information from massive amounts of data.
Factors and models contributing to the optimization of search engine results credibility and application on news content: the cross-credibility engine optimization (CCEO) model

The current work introduces a new model for optimizing Search Engines (SE), taking into consideration credibility issues, which are thought as equal or even more important than popularity. While news organizations rely on marketing and exposure metrics to program their cross-media presence, at the same time an urgent need for credible and quality journalistic services constantly rises. A promising solution, proposed in this paper, would be to reshape Search Engine Optimization (SEO) practices and measures, aiming at expediting self-verification and authentication processes. Hence, informing sources would have the option to voluntary ingest credibility metadata of their content and stories, allowing end-users to easily fact-check the delivered messages.
Goodness of ergodic adiabatic invariants

For a ''slowly'' time-dependent Hamiltonian system exhibiting ergodic motion, the volume inside the hypersurface on which the Hamiltonian equals a constant is an adiabatic invariant. It is shown that the error in the constant is diffusive and scales as (tau/sub C//t)/sup 1/2/, where tau/sub C/ is a certain correlation time of the ergodic motion, and tau is the time scale over which the Hamiltonian changes.
The relationship between teachers’ emotional intelligence and teaching for creativity: The mediating role of working engagement

Teaching for creativity (TfC) has received increasing attention as an important way to cultivate students’ creative thinking and behaviors. The purpose of this study is to examine the mediating role of teachers’ work engagement (WE) on the relationship between their emotional intelligence (EI) and teaching for creativity. The study is a cross-sectional design. The sample of the study is 3,307 secondary school English teachers working in Jilin Province, China. The findings show that the teachers’ perceptions of emotional intelligence, work engagement and teaching for creativity are relatively high. The findings confirm the hypotheses. The results of structural equation modeling and bootstrapping show that teachers’ emotional intelligence is positively correlated with work engagement and teaching for creativity, and teachers’ work engagement mediates the relationship between emotional intelligence and teaching for creativity.
The effectiveness of citizen surveillance for detecting exotic vertebrates

Citizen observations of the natural world are increasing in detail, growing in volume and increasingly being shared on web-based platforms for the purpose of sharing information and/or the crowd-sourcing of species identification. From a biosecurity perspective, such citizen data streams are important as they are responsible for the majority of post-border reports and most detections of exotic pest species of concern. The sharing of sightings amongst what are effectively communities of practice is a key driver of having the sighting of an exotic pest species recognized and reported. Whilst it is clear that the eyes, ears, cameras, and microphones of citizens are a major component of biosecurity surveillance, it is unclear what level of surveillance this provides in the prospective sense. As an example, what confidence does citizen science provide about “proof of absence” for exotic pests of concern? The taxonomy of surveillance used within the field of biosecurity would classify such citizen activities as contributing to “general surveillance,” for which non-detections are typically not recorded and methods of quantitative analysis are still under development. We argue that while not recorded, there is considerable information about citizens activities that routinely underpins peoples mental inference about the level of surveillance provided by citizen activities. Furthermore, we show that it is possible to make such inference from general surveillance transparent by describing and characterizing the activities that potentially generate sightings in a way that is amenable to quantitative analysis. In the context of evaluating surveillance provided by citizens for incursions of exotic vertebrates, we provide examples of citizen observations providing early warning and hence preventing the establishment of species from a range of animal groups. Historically, analysis of the power of general surveillance has been restricted to being conceptual, based on qualitative arguments. We provide this, but also provide a quantitative model framework and provide examples of how different forms of general surveillance data may be analyzed, particularly in supporting inference of eradication/extinction.
ALLOGENEIC HEMATOPOIETIC STEM CELL TRANSPLANTATION FROM RELATED DONORS IN FANCONI ANEMIA

Introduction: Allogeneic hematopoietic cell transplantation (HSCT) is the only therapeutic modality capable of correcting the hematologic manifestations of Fanconi Anemia (FA). The development of well tolerated, immunosuppressive conditioning regimens for FA patients undergoing HSCT has proven to be a rather challenging task for hematologists. Methods: We analyzed the outcome of 30 FA patients (median age at HSCT was 9 years age range, 2-32 years) who underwent HSCT between 1992 and 2008 in Shariati Hospital Tehran, Iran. Patients were transplanted from either an HLA-identical sibling or matched relative (n=29), or an HLA-partially matched relative(n=1). Four different conditioning regimens without radiation were used . Graft versus host disease (GVHD) prevention consisted of cyclosporine with methotrexate or cyclosporine alone. Results: The median follow-up duration for survivors was 2.7 years (ranged 1 month to 12 years). The median survival time was 8.5 months. The 5-year overall surviv l was 43.6% (SE=10.0%). All surviving patients had normal blood counts with full donor engraftment. The median survival rate for patients who did or did not receive fludarabine in preparation for the allograft was not statistically significant (p-value=1.0). Conclusion: Our study demonstrates that none of the studied variables significantly affected the survival, including sex, age, radiation-free conditioning regimens, corticosteroids before transplant, pre-transplant transfusions, acute GVHD and congenital abnormalities. The availability of better diagnostic tools to predict clinical course of FA, and modification of the conditioning regimen should improve survival and long-term consequences of therapy for patients in the future.
The potential value of LC-MS non-targeted metabonomics in the diagnosis of follicular thyroid carcinoma

Background To explore the metabolic differences of follicular thyroid carcinoma (FTC) by metabonomics, to find potential biomarkers for the diagnosis of FTC, and to explore the pathogenesis and diagnosis and treatment strategies of FTC. Method The metabonomics of 15 patients with FTC and 15 patients with follicular thyroid nodules(FTN) treated in Henan Cancer Hospital were analyzed by liquid chromatography-mass spectrometry (LC-MS). Results The analysis showed that the metabolite profiles of FTC tissues could be well distinguished from those of control tissues, and 6 kinds of lipids were identified respectively, including lysophosphatidic acid(LysoPA) [LysoPA(0:0/18:0),LysoPA(0:0/18:2(9Z,12Z)],LysoPA[20:4(8Z,11Z,14Z,17Z)/0:0)]; phosphatidic acid(PA) [PA(20:3(8Z,11Z,14Z)/0:0),PA(20:4(5Z,8Z,11Z,14Z)/0:0),PA(20:5(5Z,8Z,11Z,14Z,17Z)/0:0)]; lysophosphatidylcholine(LPC) [LPC(18:1),LPC(16:0),LPC[16:1(9Z)/0:0],LPC(17:0),LPC[22:4(7Z,10Z,13Z,16Z),LPC(20:2(11Z,14Z); phosphatidylcholine(PC)(PC(14:0/0:0),PC(16:0/0:0); sphingomyelin(SM) (d18:0/12:0); fatty acid(FA)(18:1(OH3)]. There are 2 kinds of amino acids, including L-glutamate,L-glutamine.There are 3 other metabolites, including retinol,flavin adenine dinucleotide,androsterone glucuronide.Lipid metabolites are the main metabolites in these metabolites.The metabolic pathways related to FTC were analyzed by KEGG and HMDB, and 9 metabolic pathways were found, including 4 amino acid related metabolic pathways, 1 lipid metabolic pathways and 4 other related pathways. Conclusion There are significant differences in many metabonomic characteristics between FTC and FTN, suggesting that these metabolites can be used as potential biomarkers. Further study found that LysoPA and its analogues can be used as biomarkers in the early diagnosis of FTC.It may be related to the abnormal metabolism of phospholipase D (PLD), the key enzyme of LysoPA synthesis caused by RAS pathway. At the same time, it was found that the metabolic pathway of amino acids and lipids was the main metabolic pathway of FTC. The abnormality of LysoPA may be the cause of follicular tumor carcinogenesis caused by lipid metabolic pathway.
Built-In Self-Configurable Architecture for Memristor Based Memories

Memristor is an attractive candidate to replace the present computation and storage devices due to its novel features namely nanoscale size, low power, non-volatility, high compatibility with CMOS, and multi-bit operations. However, the memristor memories need to overcome the design challenges such as process variations, non-deterministic switching characteristics, and unreliable operation. This study suggests a built-in selfconfigurable architecture to detect the weak (unstable) cells of the memristor-based memories. The proposed techniques were validated by “voltage threshold adaptive memristor” (VTEAM) model by injecting various resistive faults. Additionally, this study presents the necessary mathematical analysis for the methodology. The results confirm that the investigated architecture is capable to differentiate unstable and stable memory cell.