bluuebunny/crossref_metadata_2025_split huggingface dataset:
Job Search With Legal and Illegal Workers: A Comparative Static Analysis
Authors: Ogbeifun Lawrence 
Published: August 2020

Abstract
This paper incorporates government immigration policy variables in a job search and match framework to examine its implication on labour market outcomes. The main assumption is that illegal workers can be penalized by receiving lower equilibrium wages or face possible deportation; and government can regulate illegal workers by introducing a “caught variable”, η, in the model. By a comparative statics analysis, the study has revealed that changes in the wages of illegal workers have both direct and indirect effect on wages of legal workers. Also, an important finding is that η has positive impact on most of the labour market parameters considered in the study.
Changes in the transcriptional activity of the entero-insular axis genes in streptozotocin-induced diabetes and after the administration of TNF-α non-selective blockers
Authors: Degen Anna S. , Krynytska Inna Y. , Kamyshnyi Aleksandr M. 
Published: August 2020

Abstract

Objective. The aim of the present study was to investigate the transcriptional activity of the GLP-1R, DPP-4, SGLT-1, INSR, and IGF-1R genes in GALT cells of rats with streptozotocin-induced diabetes in both untreated and treated with pentoxifylline, as a non-specific blocker of TNF-α.

Methods. The expression of GLP-1R, DPP-4, SGLT-1, INSR, and IGF-1R genes in GALT cells of rats was studied by real time quantitative polymerase chain reaction.

Results. It was shown that the development of diabetes was accompanied by the decrease of GLP-1R and an increase of DPP-4 genes expression in rat ileum. The administration of pentoxifyl-line to diabetic animals led to an increase in the transcriptional activity of GLP-1R on the 4th week and decrease in transcriptional activity of DPP-4 on the 2nd and 4th weeks of the experiment. An increase in the normalized expression of SGLT-1 on the 4th week of the experimental diabetes was also noted, while the administration of pentoxifylline to diabetic animals did not lead to significant changes in this index. The transcriptional activity of the INSR and IGF-1R genes was reduced in diabetic rats and the administration of the non-specific TNF-α blocker – pentoxifylline led to a significant increase only for INSR gene in animals on the 4th week of the experimental diabetes.

Conclusions. The expression of incretins, glucose transporters, and pro-inflammatory cytokines (e.g. TNF-α) in immune cells may be used as markers of several autoimmune pathologies progression such as type 1 diabetes due to their effect on the balance of pro- and anti-inflammatory factors.
Aldosterone synthase deficiency type II: an unusual presentation of the first Greek case reported with confirmed genetic analysis
Authors: Papailiou Stayroula , Vlachopapadopoulou Elpis Athina , Sertedaki Amalia , Maritsi Despoina , Syggelos Nikolaos , Syggelou Angeliki 
Published: August 2020

Abstract

Objective. Aldosterone synthase deficiency (ASD) is a rare, autosomal recessive inherited disease with an overall clinical phenotype of failure to thrive, vomiting, severe dehydration, hyperkalemia, and hyponatremia. Mutations in the CYP11B2 gene encoding aldosterone synthase are responsible for the occurrence of ASD. Defects in CYP11B2 gene have only been reported in a limited number of cases worldwide. Due to this potential life-threatening risk, comprehensive hormonal investigation followed by genetic confirmation is essential for the clinical management of offsprings.

Case presentation. We herein describe an unusual case of ASD type II in a neonate with faltering growth as a single presenting symptom. To our knowledge, this is the first Greek case of ASD type II reported with confirmed genetic analysis. Next generation sequencing of her DNA revealed the homozygous mutation p.T185I (ACC-ATC) (c.554C>T) (g.7757C>T) in exon 3 of the CYP11B2 gene in the neonate, inherited from both parents who were heterozygotes for the mutation.

Conclusions. Physicians handling neonates with faltering growth, particularly in the initial six weeks of life, should be suspicious of mineralocorticoid insufficiency either as isolated hypoaldosteronism or in the context of congenital adrenal hyperplasia. Essential investigations should be performed and appropriate treatment should be administered promptly without awaiting for the hormonal profile results. Interpretation of the clinical picture and the hormonal profile will guide the analysis of candidate genes. Primary selective hypoaldosteronism is a rare, life threatening disease, but still with an unknown overall population impact. Thus, reporting cases with confirmed gene mutations is of major importance.
Socio-Economic Potential of Regions – Theory and Practice
Authors: Filipiak Beata Zofia , Tarczyńska-Łuniewska Małgorzata 
Published: August 2020

Abstract

Research background: The paper refers to the social and economic potential of regions and their level of development. The crucial issue is not only how to measure the level of development but also their potential and what are the ways of defining this.

Purpose: The principal aim of this paper is an analysis and evaluation of the social and economic potential of poviats of the West Pomeranian Province through the prism of their level of development.

Research methodology: The measurements of the level of development were carried out using a synthetic measure of development. The level of poviats development was examined in aggregate for all specified factors and broken down into economic, socio-demographic, infrastructure and environmental protection factors. Data selection was made by using a factor analysis. As part of the study, a statistical analysis of potential factors was also carried out. The analysis refers to the following selected periods: 2008, 2014 and 2018 which allowed for an observation of phenomena over time in the investigated period. The research used the Central Statistical Office’s annual statistics for the specific districts.

Results: The research results confirm the complexity of the study of the phenomenon of the level of socioeconomic development of LGUs, the large diversity of surveyed units regardless of the study period and their low level of development.

Novelty: The novelty is that the analysis was conducted in stages, which allowed learning about the potential’s nature on the one hand and the factors forming it on the other.
A material element of the research was also identifying possible directions for the use of the findings.
Modelling Unpaid Housework Time in Poland on the Basis of a Time Use Survey
Authors: Hozer-Koćmiel Marta , Kuźmiński Wojciech 
Published: August 2020

Abstract

Research background: The paper introduces an econometric analysis of unpaid household work in Poland.

Purpose: The purpose is a quantitative analysis of the relations between the time spent on unpaid housework and some selected demographic, economic and social variables.

Research methodology: In the survey, the respondents were grouped by gender and type of locality. It was hypothesized that there are strong differences in the determinants of housework time by gender and type of locality. Multiple regression models for housework time and 23 demographic, social and economic variables were estimated and verified. The analysis was conducted on the basis of individual data from the Time Use Survey conducted by the Statistics Poland in 2013.

Results: The empirical study found no differences in the key determinants of housework time between women and men depending on the type of locality. The main factors of influence were: paid work time, time spent meeting physiological needs (sleeping, eating, washing), time spent on learning, the number of children and, finally, economic activity.

Novelty: The theoretical part outlines barely known economic theories that addressed the issue of unpaid housework. The authors describe the care economy, humanistic economics, economics of happiness, time allocation theory as well as a two-dimensional approach to poverty research. Housework (which means the unpaid activity of household members aimed at satisfying the needs of individuals forming the household) has also been out of economic mainstream categories. Even though unpopular, it has an economic value and can be replaced by market goods and services or offered by the state. The authors have been persuaded that there are tangible and intangible benefits resulting from this type of work.
Clustering Poland Among Eu Countries in Terms of a Sustainable Development Level in the Light of Various Cluster Stability Measures
Authors: Rozmus Dorota 
Published: August 2020

Abstract

Research background: Recently in the context of taxonomy methods a lot of attention has been paid to the issue of stability of these methods, i.e. the answer to the question: do the groups that were created as a result of clustering really occur (the structure is stable), or did they appear accidentally.

Purpose: The article is inspired by the Reviewers of the author’s previous publications on this subject and will be a summary of research to date which has followed two paths. On one hand, they recognize ways of measuring cluster stability proposed in the literature (e.g. Rozmus, 2017). On the other, they use these measures to cluster Poland among the EU members in terms of sustainable development level (e.g. Rozmus, 2019).

Research methodology: The literature proposes a number of different ways for measuring stability. Theoretical considerations have also led to the development of computer tools for the practical implementation of the proposed ways to study stability. The practical tools are available within several R packages, e.g.: clv, clValid, fpc, which are used in this research

Results: The results, however, showed that different measures of stability lead to different results.

Novelty: The innovation of this approach is the use of stability measures to such a problem (i.e. clustering EU members in terms of the sustainable development level). In addition, the article will report a synthesis and comparative analysis of the results obtained using various stability measures.
Calculus for the intermediate point associated with a mean value theorem of the integral calculus
Authors: Pop Emilia-Loredana , Duca Dorel , Raţiu Augusta 
Published: August 2020

Abstract
If f, g: [a, b] → 𝕉 are two continuous functions, then there exists a point c ∈ (a, b) such that

∫
a
c

f

(
x
)

d
x
+

(

c
-
a

)

g

(
c
)

=

∫
c
b

g

(
x
)

d
x
+

(

b
-
c

)

f

(
c
)

.

\int_a^c {f\left(x \right)} dx + \left({c - a} \right)g\left(c \right) = \int_c^b {g\left(x \right)} dx + \left({b - c} \right)f\left(c \right).

In this paper, we study the approaching of the point c towards a, when b approaches a.
A refinement of Grüss inequality for the complex integral
Authors: Dragomir Silvestru Sever 
Published: August 2020

Abstract
Assume that f and g are continuous on γ, γ ⊂ 𝔺 is a piecewise smooth path parametrized by z (t), t ∈ [a, b] from z (a) = u to z (b) = w with w ≠ u and the complex Čebyšev functional is defined by

𝒟
γ

(

f
,
g

)

:
=

1

w
-
u

∫
γ

f

(
z
)

g

(
z
)

d
z
-

1

w
-
u

∫
γ

f

(
z
)

d
z

1

w
-
u

∫
γ

g

(
z
)

d
z
.

{{\cal D}_\gamma}\left({f,g} \right): = {1 \over {w - u}}\int_\gamma {f\left(z \right)} g\left(z \right)dz - {1 \over {w - u}}\int_\gamma {f\left(z \right)} dz{1 \over {w - u}}\int_\gamma {g\left(z \right)} dz.

In this paper we establish some Grüss type inequalities for 𝒟 (f, g) under some complex boundedness conditions for the functions f and g.
Generalized Briot-Bouquet differential equation based on new differential operator with complex connections
Authors: Ibrahim Rabha W. 
Published: August 2020

Abstract
Inequality study is a magnificent field for investigating the geometric behaviors of analytic functions in the open unit disk calling the subordination and superordination. In this work, we aim to formulate a generalized differential-difference operator. We introduce a new class of analytic functions having the generalized operator. Some subordination results are included in the sequel.
Certain subclasses of univalent and bi-univalent functions related to shell-like curves connected with Fibonacci numbers
Authors: Singh Gurmeet , Singh Gagandeep , Singh Gurcharanjit 
Published: August 2020

Abstract
This paper is concerned with certain subclasses of univalent and bi-univalent functions related to shell-like curves connected with Fibonacci numbers. We find estimates of the initial coefficients |a
2| and |a
3| for the functions in these classes. Also we investigate upper bounds for the Fekete-Szegö functional and second Hankel determinant for these classes.
Phymosia (Malvaceae) a new genus for the flora of Africa, with nomenclatural notes
Authors: Iamonico Duilio , El Mokni Ridha 
Published: August 2020

Abstract
As part of ongoing studies of Tunisian Malvaceae, a population of Phymosia umbellata was discovered in Monastir city. It represents the first generic record for the national and continental flora. Morphological characters, as well as ecological data are given. A list of all the accepted names in Phymosia, their synonyms and types is also provided, with nomenclatural notes about some accepted Phymosia species.
Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic
Authors: Gabryel Marcin , Grzanek Konrad , Hayashi Yoichi 
Published: August 2020

Abstract
Web-based browser fingerprint (or device fingerprint) is a tool used to identify and track user activity in web traffic. It is also used to identify computers that are abusing online advertising and also to prevent credit card fraud. A device fingerprint is created by extracting multiple parameter values from a browser API (e.g. operating system type or browser version). The acquired parameter values are then used to create a hash using the hash function. The disadvantage of using this method is too high susceptibility to small, normally occurring changes (e.g. when changing the browser version number or screen resolution). Minor changes in the input values generate a completely different fingerprint hash, making it impossible to find similar ones in the database. On the other hand, omitting these unstable values when creating a hash, significantly limits the ability of the fingerprint to distinguish between devices. This weak point is commonly exploited by fraudsters who knowingly evade this form of protection by deliberately changing the value of device parameters. The paper presents methods that significantly limit this type of activity. New algorithms for coding and comparing fingerprints are presented, in which the values of parameters with low stability and low entropy are especially taken into account. The fingerprint generation methods are based on popular Minhash, the LSH, and autoencoder methods. The effectiveness of coding and comparing each of the presented methods was also examined in comparison with the currently used hash generation method. Authentic data of the devices and browsers of users visiting 186 different websites were collected for the research.
A Novel Drift Detection Algorithm Based on Features’ Importance Analysis in a Data Streams Environment
Authors: Duda Piotr , Przybyszewski Krzysztof , Wang Lipo 
Published: August 2020

AbstractThe training set consists of many features that influence the classifier in different degrees. Choosing the most important features and rejecting those that do not carry relevant information is of great importance to the operating of the learned model. In the case of data streams, the importance of the features may additionally change over time. Such changes affect the performance of the classifier but can also be an important indicator of occurring concept-drift. In this work, we propose a new algorithm for data streams classification, called Random Forest with Features Importance (RFFI), which uses the measure of features importance as a drift detector. The RFFT algorithm implements solutions inspired by the Random Forest algorithm to the data stream scenarios. The proposed algorithm combines the ability of ensemble methods for handling slow changes in a data stream with a new method for detecting concept drift occurrence. The work contains an experimental analysis of the proposed algorithm, carried out on synthetic and real data.
Evaluation of localization precision by proposed quasi-spherical nested microphone array in combination with multiresolution adaptive steered response power
Authors: Firoozabadi Ali Dehghan , Irarrazaval Pablo , Adasme Pablo , Zabala-Blanco David , Azurdia-Meza Cesar 
Published: August 2020

Abstract
Multiple sound source localization in noisy and reverberant conditions is one of the important challenges in the speech signal processing. The aim of this article is three-dimensional sound source localization in undesirable scenarios. For the localization algorithms, the spatial aliasing is one of the destructive factors in reducing the accuracy. Firstly, a 3D quasi-spherical nested microphone array (QSNMA) is proposed for eliminating the spatial aliasing. Since the speech signal has the windowed-disjoint orthogonality property, the speech information differs in terms of the frequency bands. Then, the Gammatone filter bank is introduced for the speech subband processing. In the following, the multiresolution steered response power (SRP) algorithm is adaptively implemented on subbands with the phase transform (PHAT)/maximum likelihood (ML) weighted functions based on the levels of the noise and reverberation. The peaks of the multiresolution adaptive SRP (MASRP) algorithm are extracted in each subband based on the number of speakers for continuous time frames. Finally, the distribution of these peaks are calculated in each subband and they are merged by the use of weighted averaging method. The final 3D speakers locations are estimated by extracting the peaks in the final distribution. The proposed QSNMAMASRP(PHAT/ML) algorithm is evaluated on real and simulated data for 2 and 3 simultaneous speakers in noisy and reverberant conditions. The proposed method is compared with SRP-PHAT, spectral source model-deep neural network, and spherical harmonic temporal extension of multiple response model sparse Bayesian learning algorithms on different range of signal-to-noise ratio and reverberation time. The mean absolute estimation error, averaged standard deviation for absolute estimation error, and computational complexity results show the superiority of the proposed method.
Wide-area damping control using signal restoration under communication uncertainties
Authors: Ngamroo Issarachai 
Published: August 2020

Abstract
In large-scale power systems, the wide-area damping controller (WADC) using remote input signals is an effective device that can be applied to deal with poor inter-area oscillation damping. However, its control effect will be degraded by communication uncertainties such as variable time delays in both input and output sides of WADC, partial and complete communication failures. This paper focuses on a new WADC design by regarding communication uncertainties. Such uncertainties are mathematically formulated and analyzed in order to signify its impact on the oscillatory stability. The signal restoration of input and output pairs of WADC is proposed to alleviate an adverse effect of communication uncertainties. Simulation study in an IEEE 50-machine 145-bus test system elucidates that the proposed WADC is superior to that of the conventional WADC without considering communication uncertainties in both performance and robustness.
Acute Fatty Liver of Pregnancy
Authors: Pop Lucian Gheorghe , Suciu Ioan Dumitru , Suciu Nicolae , Toader Oana Daniela 
Published: August 2020

Abstract
Acute fatty liver of pregnancy (AFLP) is a rare but life-threatening condition that develops in the third trimester of pregnancy. AFLP shares similar clinical features with other more common pregnancy-associated conditions. However, early correct diagnosis is important for maternal and fetal survival. Once the diagnosis has been established, immediate delivery and maternal intensive support should be undertaken. Both parents and the infant should be tested for deficiencies of the mitochondrial fatty acid oxidation, especially for long-chain 3-hydroxyacyl-CoA dehydrogenase (LCHAD) deficiency, as many cases of AFLP are related to disruption of this physiological enzymatic pathway.
Changes in direct CO2 and N2O emissions from a loam Haplic Luvisol under conventional moldboard and reduced tillage during growing season and post-harvest period of red clover
Authors: Horák Ján , Igaz Dušan , Aydin Elena , Šimanský Vladimír , Buchkina Natalya , Balashov Eugene 
Published: August 2020

Abstract
The objectives of the study were to: (1) assess the strength of associations of direct CO2 and N2O emissions with the seasonal variations in the relevant soil properties under both tillage systems; 2) evaluate how CT and RT affect magnitudes of seasonal CO2 and N2O fluxes from soil. Field studies were carried out on plots for conventional tillage (up to 0.22–0.25 m) and reduced tillage (up to 0.10–0.12 m) during the growing season and post-harvest period of red clover. The results showed that daily CO2 emissions significantly correlated only with soil temperature during the growing season under conventional and reduced tillage. Soil temperature demonstrated its highest influence on daily N2O emissions only at the beginning of the growing season in both tillage systems. There were no significant inter-system differences in daily CO2 and N2O emissions from soil during the entire period of observations. Over the duration of post-harvest period, water-filled pore space was a better predictor of daily CO2 emissions from soils under CT and RT. The conventional and reduced tillage did not cause significant differences in cumulative N2O and CO2 fluxes from soil.
Effect of climate warming on a change in thermal and ice conditions in the largest lake in Poland – Lake Śniardwy
Authors: Ptak Mariusz , Sojka Mariusz , Nowak Bogumił 
Published: August 2020

Abstract
Lake Śniardwy is the largest among more than 7000 Polish lakes. So far, it has not been a subject of detailed investigations concerning long-term changes in water temperature or ice regime. A considerable change in thermal and ice conditions has been observed in the period 1972–2019. Mean annual water temperature increased by 0.44°C dec−1 on average, and was higher than an increase in air temperature (0.33°C dec−1). In the monthly cycle, the most dynamic changes occurred in April (0.77°C dec−1). In the case of ice cover, it appeared increasingly later (5.3 days dec−1), and disappeared earlier (3.0 days dec−1). The thickness of ice cover also decreased (2.4 cm dec−1). Statistical analysis by means of a Pettitt test showed that the critical moment for the transformations of the thermal and ice regime was the end of the 1980’s. In addition to the obvious relations with air temperature for both characteristics, it was evidenced that the occurrence of ice cover depended on wind speed and snow cover. The recorded changes in the case of Lake Śniardwy are considered unfavourable, and their consequences will affect the course of physical, chemical, and biological processes in the largest lake in Poland.