Miracle-dz/UniFAR-FTUs huggingface dataset:
Scale Difficulty And Incompetent Operation In Unlock Net

New system architecture to manage micro-RDF partitions on a large scale. New data placement strategies for locating relevant semantic data fragments. In this paper, we describe RpCl, a fully qualified and scalable distributed RDF data management system for that cloud. Unlike previous methods, RpCl administers a physiological analysis of case and plan information before the information is segmented. The machine maintains a sliding window while keeping track of the current good reputation of the workload, plus relevant statistics on the number of joints to be made, as well as the due margins. The machine combines pre-cutting by summarizing the RDF graph with a surface-based horizontal division from triads into a grid as an indexed index structure. POI is a dynamic index in RpCl that uses a lexical tree to analyze each URI or literal entered and assign it a unique key value. Sharing such data using classical techniques or segmenting a graph using traditional min reduction algorithms results in very inefficient distributions as well as a greater number of connections. Many RDF systems are based on hash segmentation, as well as distributed selections, projections, and joins. Grid-Vine was one of the first systems to manage this poor, large-scale decentralized administration. In this paper, we describe the RpCl architecture and its metadata structures along with the new algorithms we use to segment and distribute data. We produce an overview of RpCl which shows that our product is often two orders of magnitude faster than high-end systems at standard workloads.
Verletzungsmuster und Einsatztaktik bei Gefahrstoffunfällen im Rettungsdienst

ABKÜRZUNGEN AEGL Acute Exposure Guideline Levels AGW Arbeitsplatzgrenzwert ARDS Acute respiratory Distress Syndrome ATF Analytische Task Forces AWMF Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften BAM Bundesamt für Materialforschung und ‐prüfung BBK Bundesamt für Bevölkerungsschutz und Katastrophenhilfe BVZ Brandverletztenzentrum cABCDE Critical Bleeding + Airway – Breathing – Circulation – Disability – Exposure/Examination CBRN chemische, biologische oder radioaktive Stoffe und Neutronen CN Zyanid CO Kohlenmonoxid COHb Carboxyhämoglobin 4-DMAP 4-Dimethylaminophenol ETW Einsatztoleranzwert FiO2 inspiratorische Sauerstofffraktion FwDV Feuerwehrdienstvorschrift GAMS Gefahr erkennen – Absperren – Menschenrettung Einleitung
Stimuli-responsive multilayered hybrid nanoparticle/polyelectrolyte capsules

Gold nanoparticles (Au NP ) with carboxyl groups on their surface were used in combination with PAH for the layer-by-layer coating of CaCO 3 microparticles, followed by the dissolution of the CaCO 3 core. SEM, TEM, and confocal microscopy are used to characterize the hybrid nanoparticles/polyelectrolyte capsules. As the Au NP have carboxyl groups on their surface, their charge density is pH dependent; therefore, the capsules exhibit a pH- dependent swelling and can be deconstructed both at low and high pH. By covalent cross-linking of the carboxyl groups of the Au NP and the amino groups of the PAH, it is possible to suppress the pH-responsive behavior. Au NP are used as activation centers using IR light and this ability is used to release encapsulated material from the nanoparticles/polyelectrolyte capsules as well as for the enhancement of detection and imaging of such capsules by Raman microspectrosopy.
Ergospirometrische Belastungsuntersuchungen in der Pädiatrie

ZUSAMMENFASSUNG Hintergrund Kardiopulmonale Belastungsuntersuchungen auf dem Fahrrad oder Laufband haben in der Erwachsenenmedizin einen hohen Stellenwert. Sie dienen einerseits zur Feststellung der körperlichen Leistungsfähigkeit, andererseits auch zum Beweis oder Ausschluss kardiopulmonaler Erkrankung. In der Kinder- und Jugendmedizin finden sie im Rahmen von wissenschaftlichen Untersuchungen etwa bei kongenitaler Herzerkrankung Anwendung, um den aktuellen Gesundheitszustand zu objektivieren. Dabei wird ihr Stellenwert bei der Behandlung von chronisch kranken Kindern und Jugendlichen gerade im niedergelassenen Bereich noch unterschätzt. Ziel der Arbeit war es, die Indikationen, die Durchführung und die Ergebnisse eines Kollektivs von 100 Patienten einer kinderkardiologischen Praxis darzustellen. Methodik Untersucht wurden 100 konsekutive Patienten (14,2 ± 3,8 Jahre) im Rahmen einer sportwissenschaftlichen Kooperation. Die Untersuchungen wurden standardisiert nach dem Godfrey-Protokoll auf dem Fahrradergometer durchgeführt. Neben der Leistungsfähigkeit in Watt/kg KG wurden die maximale Sauerstoffaufnahme, die respiratorische Austauschrate und die maximale Herzfrequenz erhoben. Ergebnisse 80 % der Patienten hatten eine kardiologische Indikation (26 % angeborene Herzfehler, 39 % erworbene Herzerkrankung, 15 % Rhythmusstörungen). 8 % der Patienten kamen wegen einer Sporttauglichkeit im Rahmen von Leistungssport zur Untersuchung, 6 % mit onkologischer Grunderkrankung, 6 % mit allgemeinpädiatrischen Vorerkrankungen. Alle Patienten konnten problemlos die Untersuchung beenden. Patienten mit angeborenem Herzfehler hatten die niedrigste Sauerstoffaufnahme, gefolgt von Patienten mit onkologischen Erkrankungen. Diskussion In unserem Kollektiv war die Gruppe der kardiologischen Indikation am größten, gefolgt von einem kleinen Anteil von leistungssportlich aktiven Kindern, onkologischen und allgemeinpädiatrischen Patienten. Es wäre ein wünschenswertes Ziel, auch einem größeren Kreis chronisch kranker Kinder basierend auf einer ergospirometrischen Untersuchung ein gezieltes Trainingsprogramm zur Verfügung zu stellen. Daten aus der Erwachsenen-Onkologie zeigen durchaus positive Effekte auf die Morbidität und Mortalität durch strukturierte Sportprogramme.
Histopathological Spectrum of Non-Neoplastic and Neoplastic Lesions of Thyroid: A Descriptive Cross-sectional Study

ABSTRACT Introduction: Thyroid gland lesions are the most common endocrine disorders encountered globally. Diseases of the thyroid gland present with either an alteration of hormone secretion or as an enlargement of the thyroid gland. The objective of the study is to find the frequency of different thyroid lesions. Methods: A descriptive cross-sectional study was conducted at Manipal Teaching Hospital, Pokhara from Jan 2005 to Jan 2020. Ethical approval was taken from the Institutional Review Committee (Ref: 330). Patients who had undergone thyroidectomy procedures for both non-neoplastic and neoplastic thyroid lesions were enrolled. Convenient sampling was done. IBM Statistical Package for Social Sciences version 21 and Microsoft Excel were used. Results: Out of 345 thyroidectomy specimens, 246 (71.3%) cases of non-neoplastic lesions, and 99 (28.69%) cases of neoplastic lesions were present. There were 54 males and 291 females with a male to female ratio of 1:5.4. The age ranged from 9 to 76 years with a mean age of 43.67 years. In non-neoplastic lesions, the predominant lesion was the colloid goiter with 205 (83.33%) cases followed by Grave's disease and lymphocytic thyroiditis with 14 (5.69%) cases each. In neoplastic lesions, papillary carcinoma was the commonest lesion with 56 (56.56%) cases followed by follicular carcinoma with 14 (14.14%) cases and follicular adenoma with 13 (13.13%) cases. There were also 9 (9.09%) cases of anaplastic carcinoma in neoplastic lesions. Conclusions: Colloid goiter and papillary carcinoma was the most commonly encountered non-neoplastic and neoplastic lesion with a female predominance. Rare tumors like anaplastic carcinoma, papillary carcinoma, and follicular carcinoma with anaplastic transformation were also encountered.
CyberEyes: Cybersecurity Entity Recognition Model Based on Graph Convolutional Network

Cybersecurity has gradually become the public focus between common people and countries with the high development of Internet technology in daily life. The cybersecurity knowledge analysis methods have achieved high evolution with the help of knowledge graph technology, especially a lot of threat intelligence information could be extracted with fine granularity. But named entity recognition (NER) is the primary task for constructing security knowledge graph. Traditional NER models are difficult to determine entities that have a complex structure in the field of cybersecurity, and it is difficult to capture non-local and non-sequential dependencies. In this paper, we propose a cybersecurity entity recognition model CyberEyes that uses non-local dependencies extracted by graph convolutional neural networks. The model can capture both local context and graph-level non-local dependencies. In the evaluation experiments, our model reached an F1 score of 90.28% on the cybersecurity corpus under the gold evaluation standard for NER, which performed better than the 86.49% obtained by the classic CNN-BiLSTM-CRF model.
The genetic basis of onset age in schizophrenia: evidence and models

Schizophrenia is a heritable neurocognitive disorder affecting about 1% of the population, and usually has an onset age at around 21–25 in males and 25–30 in females. Recent advances in genetics have helped to identify many common and rare variants for the liability to schizophrenia. Earlier evidence appeared to suggest that younger onset age is associated with higher genetic liability to schizophrenia. Clinical longitudinal research also found that early and very-early onset schizophrenia are associated with poor clinical, neurocognitive, and functional profiles. A recent study reported a heritability of 0.33 for schizophrenia onset age, but the genetic basis of this trait in schizophrenia remains elusive. In the pre-Genome-Wide Association Study (GWAS) era, genetic loci found to be associated with onset age were seldom replicated. In the post-Genome-Wide Association Study era, new conceptual frameworks are needed to clarify the role of onset age in genetic research in schizophrenia, and to identify its genetic basis. In this review, we first discussed the potential of onset age as a characterizing/subtyping feature for psychosis, and as an important phenotypic dimension of schizophrenia. Second, we reviewed the methods, samples, findings and limitations of previous genetic research on onset age in schizophrenia. Third, we discussed a potential conceptual framework for studying the genetic basis of onset age, as well as the concepts of susceptibility, modifier, and “mixed” genes. Fourth, we discussed the limitations of this review. Lastly, we discussed the potential clinical implications for genetic research of onset age of schizophrenia, and how future research can unveil the potential mechanisms for this trait.
A research on security problems with data storage in cloud computing

Cloud computing is a transformative mechanism that changes the way hardware and software design and procurement are built for businesses. Everybody pushes data and application applications to cloud data centers due to cloud simplicity. The Cloud Service Provider (CSP) can maintain integrity, accessibility, privacy, and confidentiality, but CSP does not provide client and stored customer data with secure data services. This research discusses problems related to the storage of cloud data, such as data breaches, data theft, and cloud data unavailability. Finally, we are offering potential solutions to related cloud problems.
International acoustic emission standard analysis and development outlook

At present, the major acoustic emission (AE) standards in the world mainly consist of American, European, International Organization for Standardization (ISO) and Chinese standards. The status of the four groups of standards is analysed in this paper and compared based on quantity and type. A comparative analysis of the content of certain similar standards is carried out. Compared with ISO and European standards, the quantity of American and Chinese standards is larger due to the rapid conversion of new technologies into standards. European standards are well-principled and systematic and the general standards provide the basis for all AE testing and standard development. ISO standards, even when dealing in part with similar content, seek to be consistent with European and American standards, to have a distinct presentation of methodologies and to follow the principles of developing standards for new technologies.
A Review on Synthesis, Optimization, Mechanism, Characterization, and Antibacterial Application of Silver Nanoparticles Synthesized from Plants

Developments in nanotechnology and natural product research toward the search for novel antibacterial agents have drawn the interest of many scientists to the synthesis of silver nanoparticles (AgNPs) from natural product (especially plants) due to its numerous benefits over other methods of synthesis such as been easy, economical, convenient, and environmental friendly. Aside from the aforementioned advantages, the synthesis of AgNPs from medicinal plant has been reported as the best approach of synthesizing AgNPs with great biological activities due to the numerous biomolecules found in plants. Recently, the number of researches toward the improvement of the yield, morphological properties, analytical techniques, and the development of optimal conditions and exact mechanism for synthesizing AgNPs from plants have been increasing tremendously. In this review, we present a comprehensive report on the recent development in the synthesis, optimization conditions, mechanism, and characterization techniques of AgNPs synthesized from plant extracts. Furthermore, a thorough discussion on the recent advances in the application of AgNPs synthesized from plant as therapeutic agent against bacterial infections was made.
Spezielle Herausforderungen für Therapeuten auf der Frührehabilitation

Die Arbeit als Therapeut auf der neurologisch-neurochirurgischen Frührehabilitation (NNFR) stellt besondere Ansprüche an die Kolleginnen und Kollegen der verschiedenen therapeutischen Disziplinen. Doch was macht diesen Arbeitsplatz so besonders und wie unterscheidet er sich z. B. von einem Arbeitsplatz in der weiterführenden neurologischen Rehabilitation? Ein Erklärungsversuch.
A Review on IoT-Based Healthcare Monitoring Systems for Patient in Remote Environments

The Internet of Things (IoT) is a powerful technology that can enable users’ smart devices and sensors to link each other and access the internet for daily usage. It is a platform that can be used by end users to access many smart application fields, such as smart city, smart home, and smart healthcare. In recent years, the healthcare monitoring systems are becoming the major development field that use the IoT as advanced technology enabler. This review is discussing more about the design, functions, and the main uses of the IoT-based healthcare monitoring applications and systems for remote patient environments. Therefore, a deep review has been made to identify the usage, efficiency, and acceptability for the current applications and systems to become more efficient to patients. Different healthcare monitoring systems have employed the IoT to integrate the different wireless interfaces with the cloud-based healthcare services. These services are including the sensing, gathering, processing, storing, and learning more among the patients’ data. The various IoT healthcare applications will help to develop useful and effective solutions by using these systems in practice. From this review it can be proof that the IoT-based healthcare monitoring applications are growing faster to build more healthcare solutions that useful for different healthcare conditions and environments.
INCENTIVES FOR SOCIAL MEDIA USERS’ ENGAGEMENT TO DIFFERENT BRAND-RELATED CONTENT TYPES

The purpose of this study is to analyze social media users’ incentives for engagement with brand-related content on social media. Based on the uses and gratification theory, two types of incentives are analyzed as motivators of users’ brand engagement, i.e. communal and selfinterest incentives. Users’ brand engagement is conceptualized and measured as intentions to contribute to brand-related content on social media in terms of intentions for commenting, sharing, and liking. Further, it is assumed that the effects of the two types of incentives (communal and self-interest) vary depending on the brand-related content type (commercial messages, personal opinions and lifestyle affairs). An online survey was conducted for obtaining quantitative data which were analyzed by applying structural equation modeling. The total number of effective responses is 415. The results indicate that only communal incentives motivate users to contribute to brand-related commercial messages, personal opinions and lifestyle affairs. The obtained results could be utilized by brand marketers in effectively designing brand-related content on social media.
Walking on Visual Illusions

In nature, sensory and physical characteristics of the environment tend to match; for example, a surface that looks bumpy is bumpy. In human-built environments, they often don’t. Here, we report observations from people exploring if mismatch between visual and physical characteristics affected their perceived walking experience. Participants walked across four flat floors, each comprising of a visual illusion: two patterns perceived as alternating 3D “furrows and ridges,” the Primrose Field illusion, and a variant of the Cafe Wall illusion as a control pattern without perceived 3D effects. Participants found all patterns intriguing to look at; some describing them as “playful” or “gentle. ” More than half found some of the patterns uncomfortable to walk on, aversive, affecting walking stability, and occasionally even evoking fear of falling. These experiences raise crucial research questions for the vision sciences into the impact of architectural design on well-being and walkability.
Defect equilibria in fluorite structure crystals

The defect distribution of charge compensated sites in Er3+:CaF2 crystals has been measured by laser spectroscopy over a concentration range from 10−4 to 1.0 mol %. The measurements show the transition from the low concentration region, where the site distribution is described by simple pairing of Er3+ and fluoride interstitial ions to a high concentration region dominated by clustering of the simple pairs. The simple pairs undergo a decrease in the absolute concentration in this region in direct conflict with all equilibrium models of solid state defect equilibria. A model is proposed which describes the measured site distribution and also explains the anomalous behavior observed in many other experiments. The model describes the distribution by requiring the cation equilibria to be frozen at a high temperature and the fluoride equilibria at a low temperature, in agreement with the temperature dependence of their mobilities. The excess fluoride interstitial ions are then ’’gettered’’ by the clustered pai.
Shape-Controlled Synthesis and Formation Mechanism of Cobalt Nanopowders by a PVP-Assisted Method

Three different kinds of morphologies including spherical, chainlike and wirelike cobalt nanopowders, have been synthesized by chemical reduction of coblat chloride solution with hydrazine hydrate in basic solution. The products were characterized by X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM). It was revealed that the morphologies of the nanopowders depend on the concentration of Co2+ and the way of adding reducing agent (hydrazine hydrate). These two features affected the nucleation sites and the number of nucleuses. When the concentration of Co2+ was low, nucleuses formed in the soft template, while the reducing of the reducing agent added drop wise, a little number of nucleuses was formed. Based on that, a mechanism of formation, as a basis of gram-scale syntheses, was proposed.
TOWARDS A RENEWED PERSPECTIVE ON TEACHING MINIMUM WAGE

The objective in this paper is to show how the textbook treatment of minimum wage can be enhanced. This is done by contrasting textbook material with that from the popular press and think tank analyses and by including a review of the empirical evidence. Three extensions of the standard model on minimum wage are delineated –the use of an inelastic demand curve for labor, incorporation of the boom and bust cycle,and the monopsony model. The debate around the profile of the minimum wage worker is introduced to show students how data can be marshalled by opposing sides of the debate. A simple exercise on the disemployment effect is also introduced in a bid to motivate students with real life data. These enhancements to the textbook material offer a more comprehensive understanding than the simplistic standard model.
Evaluation of six insecticides for the control of potato whitefly, Bemisia tabaci in relation to induced resistance and tuber quality

Potato whitefly, Bemisia tabaci (Homoptera: Aleyrodidae) is one of the most important pests of potato. Field experiments were carried out during two successive growing winter seasons of winter 2017/2018 and 2018/2019 at the Research station of Faculty of Agriculture Alexandria University, to evaluate the efficacy of six conventional insecticides , emamectin benzoate + thiamethoxam, imidacloprid, etofenprox, fenitrothion, pymetrozine and thiamethoxam against Bemisia tabaci on potato plants (Solanum tuberosum L.,) of variety sponta, either as direct effect or indirect effect during induced resistance and their relationship with crop yield. Results showed that emamectin benzoate+thiamethoxam, thiamethoxam and imidacloprid achieved high reduction percentage of whitefly adults. Also, fenitrothion, pymterozine and imidacloprid achieved high reduction percentage of whitefly immature. Fortunately, these treatments had a positive effect, both on the measures of induced resistance that were estimated, and at the same time they had a promising effect on the potato yield in terms and quality.
Stablecoins: Risks, Potential and Regulation

The technologies underlying money and payment systems are evolving rapidly. Both the emergence of distributed ledger technology (DLT) and rapid advances in traditional centralised systems are moving the technological horizon of money and payments. These trends are embodied in private “stablecoins”: cryptocurrencies with values tied to fiat currencies or other assets. Stablecoins – in particular potential “global stablecoins” such as Facebook’s Libra proposal – pose a range of challenges from the standpoint of financial authorities around the world. At the same time, regulatory responses to global stablecoins should take into account the potential of other stablecoin uses, such as embedding a robust monetary instrument into digital environments, especially in the context of decentralised systems. Looking forward, in such cases, one possible option from a regulatory standpoint is to embed supervisory requirements into stablecoin systems themselves, allowing for “embedded supervision”. Yet it is an open question whether central bank digital currencies (CBDCs) and other initiatives could in fact provide more effective solutions to fulfil the functions that stablecoins are meant to address.
Frequency independent-dependent conductivity and dielectric properties of some ionomers

The preparation and physical properties of some ionomers have been investigated. The addition of CH3I significantly improved the conductivity of the ionomers. At room temperature, the highest ionic conductivity value was found to be 4.93 10−8 S cm−1 in the I4 ionomer. The conductivity data do not obey the Arrhenius law and the non-linearity indicates ionic transport. The alternating current conductivity parameters and dielectric constants of the ionomers were determined. Copyright © 2005 Society of Chemical Industry