Miracle-dz/UniFAR-FTUs huggingface dataset:
Accident Analysis and Prevention

Considerable efforts have been made from researchers and policy makers in order to explain road crash occurrence and improve road safety performance of highways. However, there are cases when crashes are so few that they could be considered as rare events. In such cases, the binary dependent variable is characterized by dozens to thousands of times fewer events (crashes) than non-events (non-crashes). This paper attempts to add to the current knowledge by investigating crash likelihood by utilizing real-time traffic data and by proposing a framework driven by appropriate statistical models (Bias Correction and Firth method) in order to overcome the problems that arise when the number of crashes is very low. Under this approach instead of using traditional logistic regression methods, crashes are considered as rare events In order to demonstrate this approach, traffic data were collected from three random loop detectors in the Attica Tollway (“Attiki Odos”) located in Greater Athens Area in Greece for the 2008–2011 period. The traffic dataset consists of hourly aggregated traffic data such as flow, occupancy, mean time speed and percentage of trucks in traffic. This study demonstrates the application and findings of our approach and revealed a negative relationship between crash occurrence and speed in crash locations. The method and findings of the study attempt to provide insights on the mechanism of crash occurrence and also to overcome data considerations for the first time in safety evaluation of motorways.
Systematic Literature Review and National Focus Groups to Support the Development of a Strategic Vision and Educational Framework for Gerontological Nursing

This research project aimed to determine the knowledge, skills and competence required to produce a nursing workforce that can provide quality person-centred care to older people wherever they access healthcare and in doing so, develop an educational framework that will enable nurses to acquire and maintain the necessary knowledge, skills and competence, at the appropriate level to deliver quality person-centred care to older people, throughout the Irish Health Service.
Vertex Algebras W ( p ) A m and W ( p ) D m and Constant Term Identities ?

We consider AD-type orbifolds of the triplet vertex algebras W(p) extending the well-known c = 1 orbifolds of lattice vertex algebras. We study the structure of Zhu’s algebras A(W(p)m) and A(W(p)m), where Am and Dm are cyclic and dihedral groups, respectively. A combinatorial algorithm for classification of irreducible W(p)-modules is developed, which relies on a family of constant term identities and properties of certain polynomials based on constant terms. All these properties can be checked for small values of m and p with a computer software. As a result, we argue that if certain constant term properties hold, the irreducible modules constructed in [Commun. Contemp. Math. 15 (2013), 1350028, 30 pages; Internat. J. Math. 25 (2014), 1450001, 34 pages] provide a complete list of irreducible W(p)m and W(p)m -modules. This paper is a continuation of our previous work on the ADE subalgebras of the triplet vertex algebra W(p).
A Survey on an effective incremental mining algorithm for frequent item-sets with big data based on MapReduce framework

— Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Thus, most of the classic algorithms proposed focused on batch mining, and did not utilize previously mined information in incrementally growing databases. In the past, researchers usually assumed databases were static to simplify data mining problems. This research presents a new scalable algorithm Delta+ for discovering closed frequent item sets. Exploits a divide-and-conquer approach. Adopts several optimizations aimed to save both space and time in computing item set closures and their supports. Propose a new effective and memory-efficient pruning technique. Algorithm is scalable and outperforms algorithms like FP-Growth, in some cases even better. The performance improvements become more and more significant as the support threshold is decreased.
Short Introduction to Deep Learning and its Math – Part I

Since the “Deep Learning Big Bang” started in 2012, we are witnessing an unprecedented penetration of artiﬁcial intelligence into most, if not all, spheres of life, including science, engineering, medicine, business, politics, law, and entertainment. It is widely recognized that the main ingredients fueling this explosion of deep learning applications have been: advances in algorithms, availability of data, and developments in GPU computing. In this paper we brieﬂy discuss these factors and slice through the algorithms to see the math at their foundations. We show that the key mathematical disciplines that empower deep learning are linear algebra, calculus, optimization, and probability and aim to explain that gaining a more fundamental understanding of why deep neural networks are so good at learning, will open the doors to even greater discoveries but also greater responsibilities.
Phenotypic and Genotypic Characterization of Probiotic Bacteria Isolated from Gir Cow Milk for their Fortification in Soya Food

Soy foods are more and more accepted as healthy food due to its numerous health benefits. However, the one of the unfavorable property of soy food is its incomplete digestion, due to the presence of soy indigestible oligosaccharides, which resulting in undesirable symptoms, such as flatulence, cramping and bloating. One of the solution of above problem is use of probiotic microorganism and use of such probiotic to soy food would help on solution of digestion and may confer additional health benefits too to consumers of soy food. In present study raw milk samples collected from different taluka of Amreli district, Gujarat. Total 157 bacteria were isolated. Among 157 bacteria, 67 were selected on the basis of preliminary tests which included Gram-positive, catalase negative and non-motile. The carbohydrates fermentation was determined by modified MRS agar containing bromocresol purple as a pH indicator and supplemented with 1 % of raffinose instead of dextrose. These organisms were characterized for their bile salt and pH tolerance too. Furthermore, base on carbohydrate fermentation, bile salt tolerance and acid tolerance result, two bacterial isolates DHA_DHR_MR _12 and DHA_JRA_M_13 were selected for 16s-rRNA identification. After identification confirm that the isolate DHA_DHR_MR _12 confirmed as Lactobacillus fermentum and DHA_JRA_M_13 confirmed Enterococcus faecium.
What Drives Successful Economic Diversification in Resource-Rich Countries?

The “resource curse” is often understood to imply poor growth in the non-resource sectors of the economy, but research into the diversification performance of resource-rich countries is limited. This paper surveys recent evidence and identifies empirical patterns in the economic diversification of resource-rich countries. Diversification is measured using the growth of per capita non-resource (manufacturing and services) sectors in domestic and export markets, which has a cleaner interpretation than competing measures. This measure is used to evaluate the long-term diversification of countries that started off as resource-dependent, and to rank countries according to their performance. We then identify policy-relevant correlates of diversification at the national level, including the acquisition of human capital, public and intellectual capital, and firm dynamism. More resource-dependent countries appear to perform worse on measures of human capital and intellectual capital, but more resource-abundant countries perform better on public capital and human capital accumulation. We examine the mechanisms behind diversification performance through in-depth case studies of Oman, Laos, and Indonesia, and conclude by identifying policy lessons and future research directions.
Design Of Error Hardened Flip-Flop Withmultiplexer Using Transmission Gates And N-Type Pass Transistors

: AConventional edge triggeredmaster-slave flip-flopis very sensitive to particle that causes anerror. Master latch upsets the logic state with an error, when the clock signal is high whereas the slave latch upsets the logic state when the clock signal is low,resulting in an erroneous output of the flip-flop. Here in this paper a new flip flop is presented which can overcome orcontrol any type of error. Here the terms error,single event upset(SEU) and soft errors represent the same meaning. We use an error detection circuit which is used to detect errors and a multiplexer for generating fault indication signal.An error in the master latch or slave latch can be detected when the clock signal is high or low using error detection circuit. The correct output is being generated by the multiplexer using error indication signal, for more efficient results an n-type pass transistor followed by an inverter was introduced instead of transmission gates.The proposed flip-flop with multiplexer and transmission gate and flip flop with multiplexer and n-type pass transistors have small area, less power dissipation and delay overheads.
Epithelioid leiomyosarcoma: a rare uterine cancer

A uterine epithelioid leiomyosarcoma is a rare malignant tumour that arises from the smooth muscle lining the walls of the uterus. The exact cause of leiomyosarcoma, including uterine leiomyosarcoma accounting for 5 to 10% is unknown. Leiomyosarcoma is the most common subtype of uterine sarcoma, accounts for 1-2% of uterine malignancies. Malignancy should be suspected in menopausal women with tumour growth who are not on hormonal replacement therapy. A 64-year-old female had attained menopause 16 year back and developed postmenopausal bleeding since 2 months, with palpable mass, of 16 weeks size. Ultrasonography showed whorled mass lesions, endometrium and myometrium could not be seen separately. Uterus with both ovaries removed. Intra-operative findings showed 16 weeks uterine mass with size 15×10.5×10cm and weight 1kg with intramural fibroid. Necrotic and haemorrhagic areas with degenerative changes seen on cut section suggestive of malignancy. Histopathology and immunohistochemistry reported epithelioid leiomyosarcoma.
The impact of absorptive capacity and innovation ambidexterity on sustainable competitive advantage: the case of Indonesian higher education

The purpose of this study is to empirically examine the mediation role of innovation ambidexterity on the impact of absorptive capacity on sustainable competitive advantage from the previous researchers' data article publication. A survey of academic and non-academic staff from sixty four private higher education institutions (PHEIs) in Bandung, West Java, Indonesia was conducted for the research. A total of five hundred and thirty completed questionnaires from 478 academic and 52 non academic staff were statistically analyzed using SPSS and smart PLS. Investigating sustainable competitive advantage related issues for PHIEs in Indonesia is important for a number of reasons, including supporting the vision of the Golden Indonesia generation 2045. Moreover, the impact of absorptive capacity on sustainable competitive advantage in the literature is remains unclear, thus a new theoretical framework is needed related to the concept of ambidexterity. The finding of this research shows that innovation ambidexterity partially mediates the effect of absorptive capacity on sustainable competitive advantage as proposed in the hypothesis. The implications of this study are discussed.
13th Workshop on Quality Improvement Methods at the NH hotel in Dortmund

Method Development for Improvement of Forecasting Quality through constant Data Enhancement Thomas Lehmann and Jörg Keller, Daimler AG Limited resources, regulation and enhanced mobility have led to a rethink in automotive industry and government. From combustion engine optimization to hybrid and battery electric vehicles there are several measures to reduce CO2 emission. Since high voltage battery technology is a relatively uncharted business concerning ageing, it is essential to observe the quality of battery through the entire value added chain. Elements are: celland battery production, vehicle production, field and after sales. Data Enhancement can be achieved by including real costumer data of field feedback. The main task in this field is forecasting quality by parameters like failure rate, wear characteristics and warranty cost. Due to a consequent chaining of process data an improvement of estimation can be realized. For evaluation a test case of forecasting wear characteristics will be presented. A Bayesian Application of a Gaussian Process Model to Predict Smart Power Semiconductor Lifetime Data Kathrin Plankensteiner, Alpen–Adria–University, Klagenfurt In automotive industry end-of-life tests are necessary to verify that semiconductor products operate reliably. Based on the steadily increasing demands on device lifetime and limited resources, it is neither possible to test, nor to inspect all devices. Consequently, reliable forecasts are needed. For this purpose, accelerated stress tests in combination with statistical models are commonly applied to model the lifetime of the devices. Frequently used acceleration models like Arrhenius are inaccurate because the investigated lifetime behavior is highly complex, e.g. mixture distributed and censored, and cannot be captured by simple models. Previous work indicates that the applications of Bayesian Mixtures-of-Experts or Bayesian network models lead to a satisfying interpolation quality, but their performances are insufficient in case of extrapolation. Based on these results, it is assumed that ordinary regression based linear models cannot capture the entire behavior of the data. To compensate for the limitations of ordinary regression models, we propose to include physical aspects into the lifetime model such as the device degradation over time. The degradation is thereby indicated by a previous crack propagation study as well as temperature variations and electrical measurements during the stress test. These indicators have all different timestamps as well as different number of data points. Typical assumptions like independency or homogeneity do not hold, therefore, commonly used threshold models, e.g. Brownian motion, cannot be applied and a more generalized model has to be considered. Therefore, the observed lifetime is modeled by a Bayesian Gaussian process depending on correlated and time-dependent physical parameters.
Hypotensions post induction en séquence rapide en préhospitalier : épidémiologie et prise en charge

L’intubation est un geste prehospitalier frequent. Peu de donnees sont disponibles sur l’evolution hemodynamique des patients intubes apres induction en sequence rapide (ISR). Les hypotensions post ISR (HPI) sont expliquees par la sedation et le collapsus de reventilation. L’hypotension prehospitaliere est un facteur de morbimortalite. L’objectif est d'analyser l’incidence de l’HPI, ses facteurs favorisants et sa prise en charge par les medecins SMUR. Materiel et methodes Etude observationnelle prospective bicentrique prehospitaliere. Tous les patients intubes apres ISR ont ete inclus. Les pressions arterielles (PA) ont ete relevees toutes les 2 min pendant 30 min apres ISR. Resultats 307 patients ont ete inclus. Des la 8ememin post ISR, la PA systolique (PAS) baisse significativement par rapport a la PA initiale (p 5cmH2O. La curarisation a l’induction et en entretien semble protectrice. Conclusion Les HPI sont frequentes. Le traumatise crânien beneficie d’une attention particuliere. Cependant, l’anticipation de l’HPI peut etre amelioree. L’etude souligne la necessite de sensibiliser les medecins SMUR aux mesures preventives et correctrices de l’HPI.
Study of prevalence of Parkinson’s disease in elderly population in Rawalpindi, Pakistan

Parkinson’s disease is a progressive nervous disease occurring most often after the age of 50, associated with the destruction of brain cells that produce dopamine and characterized by muscular tremor, slowing of movement, partial facial paralysis, peculiarity of gait and posture, and weakness. The overall prevalence in the world is estimated at 6.5 million at present and expected to double in the next 10-20 years. In Pakistan alone, there are estimated to be 450,000 persons afflicted with the disease. The objective is to study the prevalence of Parkinson disease (PD) in the elderly population in Rawalpindi. For the present study I visit the Hospitals included in the Rawalpindi areas with a number of patients experienced by Parkinson disease. For this questionnaire based collection was made by questioning the patient’s.
IDENTIFICATION OF INDIVIDUALS WITH ACUTE MENTAL DISORDERS IN THE CONTEXT OF PATIENT SAFETY*

Objective: To analyze the identification process for patients in the acute phase of mental disorders in health institutions. Method: Exploratory, qualitative study with data collection conducted between September and December 2018. A digitized questionnaire, whose link was made available through the WhatsApp group of professionals attached to the Brazilian Society for the Quality of Care and Patient Safety, was used. Results: Of the 17 study participants, 64.7% worked in Patient Safety Centers, and all of them were specialists (58.8% in the patient safety area). Of the respondents, 90% do not count on a specific protocol for the identification of these patients in their institutions. The categories created for the strategies were “Adequacy of the Ministry of Health Protocol” and “Protocol of the Ministry of Health”, and for the barriers, categories “Inherent Patient Factors” and “Inherent Professional Factors” were created. Conclusion: Important strategies were identified to improve the identification of this clientele. DESCRIPTORS: Quality of Health Care; Patient safety; Mentally Ill People; Psychotic disorders; Mental disorders. HOW TO REFERENCE THIS ARTICLE: Blanco AND, Silva RFA de. Identification of individuals with acute mental disorders in the context of patient safety. Cogitare enferm. [Internet]. 2019 [access “insert day, monh and year”]; 24. Available at: http://dx.doi. org/10.5380/ce.v24i0. 65490. 1Nurse. Master Student in Health and Technology. Universidade Federal do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brazil. 2Nurse, PhD, Nursing and Biosciences. Professor from Universidade Federal do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brazil. *Article extracted from the masters dissertation “Inovação no Processo de Identificação de Pacientes com Transtornos Mentais na Fase Aguda” (Innovation in the Process of Identification of Patients in the Acute Phase of Mental Disorders). Universidade Federal do Estado do Rio de Janeiro, 2019. This work is licensed under a Creative Commons Attribution 4.0 International License. Andreia Novais Dias Blanco1, Renata Flavia Abreu da Silva2 dx.doi. org/10.5380/ce.v24i0. 65490 Cogitare enferm. 24: e65490, 2019
A Study of Sustainability with Special Reference to Financial Management

Sustainability is a concept which states the use of available resources of satisfying the present need without compromising the ability of future generation to meet their own needs. This concept of sustainability applies and affects every aspect of life. This paper studies the role of financial management in the concept of sustainability. Finance is a concept which talks about transfer the funds from the area of surplus to the area of deficit. This paper focuses on socially responsible investments (SRIs) which are considered as most important and prominent factor of sustainable financial management. In this paper we study how the business communities should utilize the finance so that their object will be achieved, and they fulfill their social responsible without retaining their surplus fund. This paper also studies the sustainability challenges that the society is facing.
Regulating Internalities

This paper offers a framework for regulating internalities. Using a simple economic model, we provide four principles for designing and evaluating behaviorally-motivated policy. We then outline rules for determining which contexts reliably reflect true preferences and discuss empirical strategies for measuring internalities. As a case study, we focus on energy efficiency policy, including Corporate Average Fuel Economy (CAFE) standards and appliance and lighting energy efficiency standards.
Immobilization of Cu in high sulfate mine soil using stabilized nonoscale zero⁃ valent iron

Due to its greater specific surface area and higher reducing ability, nano⁃scale zero⁃valent iron ( nZVI) has been commonly used for in⁃situ remediation of polyvalent heavy metal contaminated soils. However, its application and mechanism for the remediation of copper (Cu) and sulfate rich mine soils have been rarely reported. In this study, nZVI was synthesized and stabilized with sodium carboxymethylcellulose (CMC). CMC⁃nZVI, as well as Cu and sulfate rich soil collected from Dabao mountain mining area, Guangdong Province, were then used as experimental materials. CMC⁃nZVI mixed in the 1.456‰ ethanol solution was applied to soil at a soil to solution radio of 1 g: 5 mL. By analyzing the consequence of Toxicity Characteristic Leaching Procedure (TCLP), the speciation transformation of heavy metals and the generation of acid⁃volatile sulfides (AVS) were studied, and the possible Cu immobilization mechanism of CMC⁃nZVI in sulfate rich soil was proposed. The results showed that 1 CMC⁃nZVI was markedly efficient in Cu immobilization, which was proved by the fact that Cu concentration in the TCLP leachate was reduced to meet the safety standard of 15 mg·kg-1 after the treatment of CMC⁃nZVI. 2 CMC⁃nZVI could enhance the activity of anaerobic microorganisms and thus promote the reduction of sulfate, which in turn facilitated the adsorption of Cu to FeS and FeS2 or the formation of Cu sulfide as a precipitate. 3 the formation of amorphous or microcrystalline secondary Fe minerals could immobilize Cu by sorption and co⁃precipitation.
The Relationships between Computer Auditing Activity and Performance

The majority of previous studies on CAATTs have discussed implementation willingness and the factors that influence willingness. However, few studies have addressed how internal auditing performance can be improved after implementing CAATTs. The implementation of CAATTs in the industry remains in the early stages, and the effectiveness of the CAATTs used by corporations is difficult to observe. Therefore, this study examined the relationships between the performance and computer auditing activity. The result found computer auditing activity significantly and positively influenced internal auditing performance.
Doing Special Economic Zones right: A policy framework

Special Economic Zones (SEZs) have become a popular policy instrument around the world. Encouraged by the success stories of SEZs in the 1980s and 1990s in East Asia, policymakers in the developing world increasingly see them as a way to easily promote industrial development, attract foreign investment, and stimulate job creation. However, results have not always lived up to expectations – for example, in most sub-Saharan countries, SEZ policy has failed to generate significant upticks in investment, exports, or job creation in recent years (Farole and Moberg, 2014).