bluuebunny/crossref_metadata_2025_split huggingface dataset:
Independent Predictors for the Severity of Coronary Artery Disease in Patients with Myocardial Infarction without St-Segment Elevation
Authors: Cozma Alexandra , Babeș Katalin , Ioachim P. M. , Ardelean Adriana , Moisi Mădălina 
Published: May 2020

Summary
It is well known that the severity of coronary heart disease is associated with a poor prognosis. 70% of patients with NSTEMI have multivascular disease, the percentage being 40% for STEMI patients. Knowing the grade severity of the coronary artery disease has importance for the therapeutic management of the case and to establish the prognosis. However, until now, we have no possibilities to identify these patients before performing the coronarography.

The objective of this study was to establish a correlation between cardiovascular risk factors, ECG changes, echocardiographic changes, GRACE score and the severity of coronary artery disease invasively detected by coronarography, in patients with myocardial infarction without ST-segment elevation.

Material and methods. We performed a study on 125 patients diagnosed with NSTEMI, who performed coronarography. For each patient we noted age, sex, history of high blood pressure, dyslipidemia, chronic kidney disease, smoking habit, HS troponin T levels, LDL cholesterol, triglycerides, C-reactive protein, creatinine clearance, ejection fraction of left ventricle, number of lesions discovered on angiography, GRACE and SYNTAX score.

Results. Of the 125 patients included, 86 (68.8%) were men, with a mean age of 63.66 ± 11.54. The average of the laboratory tests and the parameters studied: creatinine Cl 83.80 ± 33.862 ml / min, FEVS 46.37 ± 7.394%, troponin HS 3533.625 ± 7460.873 pg / ml, CRP 2.811 ± 5.262 mg / dl, LDL 113.618 ± 50.13 mg / dl, triglyceride ± 100.58mg / dl. The mean Syntax score in the studied group was 17, 58 ± 13.65, Grace score 118.80 ± 26.980, and the number of coronary lesions 2.19 ± 1.162 The number of coronary lesions and the SYNTAX score were significantly correlated statistics with age, Grace score, presence of diabetes and chronic kidney disease. With regard to laboratory tests, creatinine clearance proved to be the most important predictor for both the number of vessels affected (r =-0.322, p=0.000) and for the Syntax score (r = -0.323,p=0.000), the latter being influenced also by the level of triglycerides (r = -0.177, p = 0.048) and that of the high sensitive troponin (r = 0.322, p = 0.015).

Conclusions. Independent predictors of multivascular disease in patients with NSTEMI are : age, diabetes, chronic kidney disease, creatinine clearance and Grace score. The severity of the coronary heart disease assessed by the Syntax score, is also correlated with age, history of diabetes and chronic kidney disease, creatinine clearance, Grace score, but also with the value of tiglycerides and high-sensitive T troponin.
Study of the Relationship Between Glycosylated Hemoglobin, Homa IR and Serum Glucose in Acute Ischemic Stroke in the Diabetic Patient
Authors: Pop Nicolae Ovidiu , Mohan Aurel George , Zaha Dana Carmen , Mekereș Florica , Babeș Petru Aurel 
Published: May 2020

Abstract
Determination of serum glycosylated hemoglobin, blood glucose and insulinemia (Homa IR) can be used in the assessment and prognosis of patients with diabetic versus non-diabetic acute ischemic stroke.
Clinical Forms and Electroencephalogram Aspects of Sleep Disorders – Literature Review
Authors: Szabó Réka , Mihancea Petru , Voiţă-Mekereș Florica , Voiţă Gheorghe Florin , Racoviţă Mariana , Mekeres Gabriel Mihai 
Published: May 2020

Abstract
The clinical manifestations in sleep disorders vary according to the type of hypnopathies, a heterogeneous group of conditions, characterized by the presence of any sleep-related symptoms capable of generating discomfort.
We aimed to present the diagnostic criteria and the classification of the subtypes of sleep disorders in the most recent classification published in the medical literature. I have searched in the PubMed, Medline, Google Scholar Search databases, using keywords to select the right items. We selected the articles published in English and French language, in the period of 2000-2018.
The sleep disturbances may be of quantitative order (hyper- or hyposomnia) or of qualitative order (parasomnia), respectively hypnopathies related to breathing or movement, due to the circadian rhythm and other categories, according to ICSD-3.

Conclusions. The correct classification in the subtypes of sleep disorders is the key to their optimal treatment, but this process is complex, staged and multidisciplinary.
Polyadenopathy - A Multidisciplinary Approach
Authors: Jichitu Alexandra , Manea Laura Maria , Pînzariu Vlad , Sprîncenatu Nicoleta Mihaela , Hanu Irina Iuliana , Popescu Raluca Mihaela , Chirilă Claudia Mihaela , Orghidan Mihnea George , Coșei Valentin Caius 
Published: May 2020

Abstract

Introduction. Sarcoidosis is a multisystemic disease, that can basically affect any organ of the body, the lungs and the intrathoracic lymph nodes being the most affected. Despite the attempts to understand the exact pathogenic mechanism of the disease, this continues to remain uncertain. Histopathologically, the trademark of sarcoidosis is the presence of nonnecrotizing granuloma.
Case presentation. We report the case of a 33-year-old man without significant past medical history, who is admitted to our clinic for bilateral supraclavicular and axillary adenopathies, progressive asthenia for the last three months and pain in the latero-thoracic region. The patient denies weight loss, odynophagia and fever.
Clinically, the patient is afebrile and has supraclavicular, bilateral laterocervical and axillary adenopathies which are painless, elastic and mobile with a maximum diameter of 1.5 cm. The prehepatic diameter is 16 cm, with rounded inferior edge and the spleen in not palpable.
The laboratory tests reveal moderate inflammatory syndrome, with C-reactive protein (CRP) of 1.4mg/dL (N<0.5mg/dL) and the erythrocyte sedimentation rate (ESR) 65mm/h (N<40mm/h). There is no lymphocytosis or neutrophilia. The ENT (Ear Nose Throat) consultation found no evidence of angina and, combined with the paraclinical investigations, excluded mononucleosis.
Thus, the presumptive diagnosis was difficult because of the non-specific symptomatology and included the following: lymphoma, mononucleosis, sarcoidosis, tuberculosis and systemic vasculitis.
The chest X-ray reveals enlarged pulmonary hilums, diffuse outlined-adenopathic/tumoral aspect, diffuse changes in the pulmonary interstitium and micronodular opacities of medium intensity, being diffusely outlined with the tendency of basal merging on the left side and slight asymmetrical enlargement of the superior mediastinum on the right side, para trachealadenopathic aspect.
The lymph node biopsy reveals the aspect of non-necrotizing granuloma, which suggests the diagnosis of sarcoidosis.
We used the dosage of angiotensin convertase, which reveals high values of 108.20U/L (N 13.3-63.9 U/L). Therefore, a pulmonary clinical evaluation was recommended.

Conclusion. Case of 33-year-old man with sarcoidosis. The diagnosis was difficult, considering the non-specific symptomatology and the numerous pathologies that can be included in the differential diagnosis.
Intragenerational labor mobility in the Indian labor market
Authors: Neog Bhaskar Jyoti , Sahoo Bimal Kishore 
Published: May 2020

Abstract
The present study contributes to the limited literature on labor mobility in India using the India Human Development Survey panel data for the years 2004–2005 and 2011–2012. We use three different tools, viz., transition matrices, multinomial logistic regression, and wage regressions for this study. The results show significant mobility across sectors in the economy. Mobility patterns among workers are found to differ significantly along the lines of gender, caste, education, wealth, and family background, among others. There is a distress-driven movement of workers. Significant earnings differentials exist across paid work statuses. The paper concludes with some policy suggestions.
An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors
Authors: Zalasiński Marcin , Cpałka Krzysztof , Laskowski Łukasz , Wunsch Donald C. , Przybyszewski Krzysztof 
Published: May 2020

Abstract
In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on on-line signature verification. Such signatures are complex objects described not only by the shape but also by the dynamics of the signing process. In standard devices used for signature acquisition (with an LCD touch screen) this dynamics may include pen velocity, but sometimes other types of signals are also available, e.g. pen pressure on the screen surface (e.g. in graphic tablets), the angle between the pen and the screen surface, etc. The precision of the on-line signature dynamics processing has been a motivational springboard for developing methods that use signature partitioning. Partitioning uses a well-known principle of decomposing the problem into smaller ones. In this paper, we propose a new partitioning algorithm that uses capabilities of the algorithms based on populations and fuzzy systems. Evolutionary-fuzzy partitioning eliminates the need to average dynamic waveforms in created partitions because it replaces them. Evolutionary separation of partitions results in a better matching of partitions with reference signatures, eliminates dispro-portions between the number of points describing dynamics in partitions, eliminates the impact of random values, separates partitions related to the signing stage and its dynamics (e.g. high and low velocity of signing, where high and low are imprecise-fuzzy concepts). The operation of the presented algorithm has been tested using the well-known BioSecure DS2 database of real dynamic signatures.
Flowering, Forage Value, and Insect Pollination in Borage (Borago Officinalis L.) Cultivated in Se Poland
Authors: Stawiarz Ernest , Wróblewska Anna , Masierowska Marzena , Sadowska Dagmara 
Published: May 2020

Abstract
The three-year study on borage was conducted in Lublin, SE Poland. The aims were to investigate the flowering pattern and abundance, and the attractiveness (in terms of nectar and pollen production) for flower-visiting insects, mainly bees. Insect visitation and the effect of pollinators on fruit set and seed set were assessed as well. Flowering of borage started in the latter half of June and lasted eight weeks. The mean number of flowers · m−2 of the crop was 4570 per season. A borage flower produced on average 4.0 mg of nectar with a mean sugar concentration of 31.5%. The mean total sugar amount secreted in nectar was 1.2 mg. The pollen amount · flower−1 was 1.1 mg. A borage plant can supply insects with 1.1 g of nectar sugars and 1.1 g of pollen. The estimated nectar sugar yield and pollen yield per 1 m2 of the crop were similar, i.e. 5.2 g. Bees accounted for 73.0% of all insect visits to the borage flowers. The presence of insect pollinators increased the fruit set by 43.3% and seed set by 26.8%.
Topic Sentiment Analysis in Online Learning Community from College Students
Authors: Wang Kai , Zhang Yu 
Published: May 2020

Abstract

Purpose
Opinion mining and sentiment analysis in Online Learning Community can truly reflect the students’ learning situation, which provides the necessary theoretical basis for following revision of teaching plans. To improve the accuracy of topic-sentiment analysis, a novel model for topic sentiment analysis is proposed that outperforms other state-of-art models.

Methodology/approach
We aim at highlighting the identification and visualization of topic sentiment based on learning topic mining and sentiment clustering at various granularity-levels. The proposed method comprised data preprocessing, topic detection, sentiment analysis, and visualization.

Findings
The proposed model can effectively perceive students’ sentiment tendencies on different topics, which provides powerful practical reference for improving the quality of information services in teaching practice.

Research limitations
The model obtains the topic-terminology hybrid matrix and the document-topic hybrid matrix by selecting the real user’s comment information on the basis of LDA topic detection approach, without considering the intensity of students’ sentiments and their evolutionary trends.

Practical implications
The implication and association rules to visualize the negative sentiment in comments or reviews enable teachers and administrators to access a certain plaint, which can be utilized as a reference for enhancing the accuracy of learning content recommendation, and evaluating the quality of their services.

Originality/value
The topic-sentiment analysis model can clarify the hierarchical dependencies between different topics, which lay the foundation for improving the accuracy of teaching content recommendation and optimizing the knowledge coherence of related courses.
Describing Citations as a Function of Time
Authors: Hu Xiaojun , Li Xian , Rousseau Ronald 
Published: May 2020

Abstract

Purpose
Providing an overview of types of citation curves.

Design/methodology/approach
The terms citation curves or citation graphs are made explicit.

Findings
A framework for the study of diachronous (and synchronous) citation curves is proposed.

Research limitations
No new practical applications are given.

Practical implications
This short note about citation curves will help readers to make the optimal choice for their applications.

Originality/value
A new scheme for the meaning of the term “citation curve” is designed.
Detection of Malignant and Benign Breast Cancer Using the ANOVA-BOOTSTRAP-SVM
Authors: Vrigazova Borislava Petrova 
Published: May 2020

Abstract

Purpose
The aim of this research is to propose a modification of the ANOVA-SVM method that can increase accuracy when detecting benign and malignant breast cancer.

Methodology
We proposed a new method ANOVA-BOOTSTRAP-SVM. It involves applying the analysis of variance (ANOVA) to support vector machines (SVM) but we use the bootstrap instead of cross validation as a train/test splitting procedure. We have tuned the kernel and the C parameter and tested our algorithm on a set of breast cancer datasets.

Findings
By using the new method proposed, we succeeded in improving accuracy ranging from 4.5 percentage points to 8 percentage points depending on the dataset.

Research limitations
The algorithm is sensitive to the type of kernel and value of the optimization parameter C.

Practical implications
We believe that the ANOVA-BOOTSTRAP-SVM can be used not only to recognize the type of breast cancer but also for broader research in all types of cancer.

Originality/value
Our findings are important as the algorithm can detect various types of cancer with higher accuracy compared to standard versions of the Support Vector Machines.
A Two-Level Approach based on Integration of Bagging and Voting for Outlier Detection
Authors: Dogan Alican , Birant Derya 
Published: May 2020

Abstract

Purpose
The main aim of this study is to build a robust novel approach that is able to detect outliers in the datasets accurately. To serve this purpose, a novel approach is introduced to determine the likelihood of an object to be extremely different from the general behavior of the entire dataset.

Design/methodology/approach
This paper proposes a novel two-level approach based on the integration of bagging and voting techniques for anomaly detection problems. The proposed approach, named Bagged and Voted Local Outlier Detection (BV-LOF), benefits from the Local Outlier Factor (LOF) as the base algorithm and improves its detection rate by using ensemble methods.

Findings
Several experiments have been performed on ten benchmark outlier detection datasets to demonstrate the effectiveness of the BV-LOF method. According to the results, the BV-LOF approach significantly outperformed LOF on 9 datasets of 10 ones on average.

Research limitations
In the BV-LOF approach, the base algorithm is applied to each subset data multiple times with different neighborhood sizes (k) in each case and with different ensemble sizes (T). In our study, we have chosen k and T value ranges as [1–100]; however, these ranges can be changed according to the dataset handled and to the problem addressed.

Practical implications
The proposed method can be applied to the datasets from different domains (i.e. health, finance, manufacturing, etc.) without requiring any prior information. Since the BV-LOF method includes two-level ensemble operations, it may lead to more computational time than single-level ensemble methods; however, this drawback can be overcome by parallelization and by using a proper data structure such as R*-tree or KD-tree.

Originality/value
The proposed approach (BV-LOF) investigates multiple neighborhood sizes (k), which provides findings of instances with different local densities, and in this way, it provides more likelihood of outlier detection that LOF may neglect. It also brings many benefits such as easy implementation, improved capability, higher applicability, and interpretability.
Green gas for grid as an eco-friendly alternative insulation gas to SF6: From the perspective of PD initiated by metallic particles under DC
Authors: Wang Guoming , Shen Jiahua , Liu Demao , Kim Sung-Wook , Kil Gyung-Suk 
Published: May 2020

Abstract
This paper dealt with characteristics of partial discharge (PD) initiated by metallic particles under DC voltage in green gas for grid (g3), which is an emerging and promising eco-friendly alternative insulation gas to SF6. Experimental setup was configured to simulate PD under DC in gas-insulated power facilities. Two types of particle, namely rectangle particle and sphere particle were used. The results indicated that the discharge inception voltages in g3 gas were 90.1-92.5% of that in SF6. In two particles, PD occurred with higher average apparent charge and discharge repetition rate in g3 compared with those in SF
6 gas. The time-resolved partial discharge presented similar characteristics in g3 and SF6 gas. The time interval between two successive discharge pulses were 0.1 ms-10 ms and 5 ms-15 ms in the rectangle particle and sphere particle, respectively. Results from this paper are expected to provide fundamental material for the development of SF
6 -free gas-insulated power apparatus.
Acquiring electric energy from the transport conveyor roller movement for distributed sensors network
Authors: Mazurek Krzysztof , Szyguła Marek , Perutka Karel , Turczyński Krzysztof , Stankiewicz Krzysztof 
Published: May 2020

Abstract
The paper presents the concept of installation of an electricity generator and en energy store inside a roller of belt or roller conveyor. Accordingly, the use of a generator-pulley does not require any structural changes to be made to an existing conveyor. In addition, the user will be able to power distributed sensors network for monitoring the operation of the belt conveyor anywhere on its route.
Fractional analog scheme for efficient stabilization of a synchronous buck converter
Authors: Valele Watson , Virambath Robsen , Mehta Utkal , Azid Sheikh 
Published: May 2020

Abstract
This paper presents the design and control of power electronic synchronous buck converter. Even though a synchronous buck converter is more popular and more widely available, it is not always efficient as nonsynchronous. Firstly, the inputoutput linearization from the state space averaging of the converter is studied, after which a small AC signal analysis is introduced to obtain the dynamic transfer function. All the parameters of the converter are calculated based on the output voltage, current ripples as well as the input voltage. For robustness, the controller is implemented by comparing the response of integer order with non-integer (fractional) order controller, simply known as fractional order controller (FOC). The fractional order derivative is implemented from the Oustaloup approximation and the controller parameters are being tuned using Nelder Mead approximation bases on a system model. It is shown that the FOC performance is comparatively better in presence of the load disturbances and parameter variations. The experimental study with the real-time fractional PI is possible to make for a stand-alone embedded application using FPAA. The proposed technique does not require any digitization of the signal, so it can be easy to implement with improved performance. The effectiveness of the analog controller is discussed, giving some future directions to adopt the new fractional controller.
The Concept of Risk Analysis of Actions Taken in the Reconstruction of Technical Infrastructure in the Areas After the Disaster on the Example of Syria
Authors: Nasan Agha Weam , Szpytko Janusz 
Published: May 2020

Abstract
The subject of the article is the time-cost analysis of the risk of actions taken in the reconstruction of technical infrastructure (in particular housing) in the areas after the disaster on the example of Syria. As a result of the analysis of actions taken at the reconstruction of the technical (housing) infrastructure in the areas after the disaster, an attempt was made to identify the inconveniences in the management of the risk of targeted activity after the incident. Requests for efficient planning of technical (residential) infrastructure projects have been developed, including foreseeable future natural hazards.
Application of the GWR Model for Predicting the Road Fatalities Rate on the Road Network in the Nuts 3 Regions in Europe on the Example of Kuyavian-Pomeranian Voivodeship
Authors: Wachnicka Joanna , Palikowska Katarzyna 
Published: May 2020

Abstract
The article presents the application of the GWR (Geographically Weighted Regression) model to the description of differences in the level of road traffic safety in individual counties on the example of the Kuyavian-Pomeranian Voivodeship. The GWR model developed for counties, taking into account the diversity of NUTS 3 regions, can be a helpful tool for traffic safety management in voivodships and lower administrative units, and such an approach has not yet been applied.
Assessment of Glycol Antifreeze to Combustion Engines in the Perspective of Using them in the Infrastructure HVAC Systems
Authors: Turlej Anna , Skolniak Marta , Giemza Bolesław 
Published: May 2020

Abstract
Corrosion inhibitors in the antifreeze include both inorganic and organic compounds. Organic additives applied in the antifreeze usually form thinner protective coatings. In spite of this fact, it is believed that they protect the exposed surfaces against corrosion more efficiently than fluids with inorganic additives. This work investigates whether the effects on the steel surface occurring due to the antifreeze meet key normative requirements. Microscopic imaging was used to identify the alterations in the surface invisible in the macro scale. The tests aimed to evaluate the potential of the antifreeze intended for combustion engines in the perspective of applying them in HVAC systems.