bluuebunny/crossref_metadata_2025 huggingface dataset:
Anxiety and fear about childbirth and postpartum period in last trimester and its relation to childbirth pain
Authors: Uğurlu Meltem , Yavan Tülay
Published: October 2022

Objective: This study aimed to determine the fear and anxiety related to childbirth and postpartum period in last trimester for pregnant women, and its relation to childbirth pain. Methods: This study was conducted in a training and research hospital’s obstetric clinic in Turkey. Totally, 104 pregnant women admitted to the hospital during the last trimester and they were followed up to delivery, which occurred in the same hospital. Data were gathered with an Information Form, Fear of Childbirth and Postpartum Anxiety Scale (FCPAS), Spielberger State and Trait Anxiety Inventory (STAI) and Visual Analogue Scale (VAS). Results: The mean FCPAS score of the women was 4.87±1.25. The highest scores were for the FCPAS subscales of fears about breastfeeding, behavior of the health staff at childbirth, and the possibility of Cesarean section. Labor pain had a significant positive weak relation with fear about childbirth and the total STAI-State score (r=0.281, p=0.041; r=0.327, p=0.017), respectively. Conclusion: It is important to determine the fear and anxieties about childbirth and postpartum period experienced during last trimester, in terms of planning prenatal education and counseling services, and supporting women to cope effectively.
Monkeypox in pregnancy: clinical recommendation by the World Association of Perinatal Medicine-WAPM and the Perinatal Medicine Foundation-PMF
Authors: Villalain Cecilia , Şen Cihat , Allegaert Karel , Huertas Erasmo , Stanojevic Milan
Published: October 2022

The World Health Organization in May 2022 declared the monkeypox virus (MPXV) a health emergency. Since then, over 45,355 cases have been reported, mostly from countries where the disease is not endemic. At the moment, most confirmed cases with travel history are reported to countries in Europe and North America, rather than West or Central Africa where the monkeypox virus is endemic. Its transmission depends on large respiratory droplets and skin-to-skin or skin-to-lesion close physical contact, including oral, anal, and vaginal intercourse therefore, women are also at risk of acquiring it. Given few data available, women’s and clinicians’ concerns about the uncertainty of the clinical course and management are more than understandable, especially so after the SARS-CoV-2 pandemic. Lessons must be learnt from our prior mistakes and pregnant individuals should be included in international registries as well as any studies evaluating new treatments or vaccines. The following recommendation aims to provide the latest evidence about the effect of MPXV in pregnancy as well as recommendations for clinical management.
Maternal and neonatal outcomes of pregnant women with SARS-CoV-2 infection in our tertiary hospital
Authors: Şehirli Kıncı Özge , Kıncı Mehmet Ferdi , Mirzazade Firangiz , Yılmaz Hüseyin Oğuz , Saruhan Ercan , Sivaslıoğlu Ahmet Akın
Published: October 2022

Objective: To evaluate clinical features, laboratory test results, and maternal and neonatal outcomes of pregnant patients with the Coronavirus disease (COVID-19). Methods: We reviewed clinical data from pregnant women with a laboratory-confirmed SARS-CoV-2, who were admitted to our university hospital in Türkiye. Demographic and clinical characteristics, laboratory test results, and maternal and neonatal outcomes were collected. Results: A total of 46 pregnant women were included in this study. The mean maternal age was 28 (min. 21 – max. 39) years and gestational age was 31 (min. 26 – max. 41) weeks. Two (4.37%) pregnant women were vaccinated with 1 dose of BioNTech® vaccine, and all other patients were unvaccinated. Shortness of breath was the most common symptom present in 15 cases (32.6%). Twenty-seven (58.69%) pregnant women gave birth in the preterm period, and 19 (41.30%) in the term period. Six (13.04%) pregnant women were followed up in the Anesthesia Intensive Care Unit. Two women with critical COVID-19 died in the postpartum period. Conclusion: COVID-19 infection has negative consequences in terms of maternal and neonatal outcomes. The most common causes of adverse neonatal outcomes are iatrogenic or spontaneous preterm births, while the most common causes of adverse maternal outcomes are prolonged hospitalization time, increased likelihood of intensive care hospitalization, and maternal deaths. The most effective way to prevent this situation is to get vaccinated regardless of trimester.
Successful pregnancy in a high-risk catecholaminergic polymorphic ventricular tachycardia patient
Authors: Mejía Jiménez Inmaculada , Villar Ruiz Olga , Sabín-Collado Ana , Valverde Gómez María , Montañés Delmás Elena , Salguero Bodes Rafael
Published: October 2022

Objective: To report the case of a successful pregnancy outcome in a severely symptomatic woman affected by catecholaminergic polymorphic ventricular tachycardia (CPVT) carrier of a novel variant in ryanodine receptor 2 (RYR2) followed by a review of the current literature. Case(s): A 27-year-old primigravida affected by CPVT was referred to our tertiary care hospital after an implantable cardioverter defibrillator (ICD) shock. The patient also received medical treatment with metoprolol and flecainide. A healthy baby was born by Cesarean section at 31 weeks after the onset of preterm labor and premature rupture of membranes. CPVT is a rare inherited cardiac condition characterized by episodic polymorphic ventricular arrhythmias with a structurally normal heart. These are usually triggered by exercise or emotional stress and can lead to syncope or even sudden cardiac death. Treatment of this condition comprises betablockers in isolation or in addition to other antiarrhythmics, left cardiac sympathetic denervation and/or ICD. Conclusion: This case illustrates the importance of a multidisciplinary approach in this clinical scenario and the benefits of an optimization of the medical treatment, and demonstrates that, even in severely affected patients, a successful pregnancy is possible under close control. However, the risk of arrhythmic events and the course of pregnancy remain largely unknown in patients with CPVT, and further investigation is needed.
Covid-19 Opens New Doors in Building Webshops with Extended 5G Services
Authors: Vastag Tímea , Eisinger-Balassa Boglárka
Published: October 2022

This article provides a two-dimensional approach to webshops. Building a webshop was getting more and more popular during Covid-19. With the technological extension of 5G, e-commerce might gain market share. This study aims to determine if there is a huge gap between the user's exceptions and the developer’s experience. Based on the developer’s experience, marketers prefer price-effective, fast, and cliche-based solutions to enter the online market. In contrast, users want to use comfortable, reliable, and userfriendly platforms. The hypotheses are based on this anomaly, and the research seeks to reveal this by providing useful and practical solutions. The House of Quality (HoQ) model was used to gather, compare, and analyse the expectations of multiple stakeholders. The main goal was to identify the main features driving engagement and trust from the consumer’s point of view. The experts’ roles and the idea were also analysed as an essential pillar of the multiple stakeholders. The main variables were presented in the House of Quality (HoQ) model presented the main variables. The study begins with statistical reasoning of the topic’s relevance and continues with defining critical terms. After analysing focus groups and interview results, the data was entered into the HoQ model, and the dimensions were compared. Conclusions and business recommendations were drawn, such as the possible further directions of the research.
Association of Endometriosis and Oxidative Stress
Authors: Surya Udayana I Gusti Ngurah Bagus , Praja Adnyana Ida Bagus Putra , Diningrat Made Angga , Setiawan William Alexander
Published: October 2022

Endometriosis is a gynecologic illness that affects women of reproductive age. The presence of endometrial tissue outside the uterine cavity distinguishes it. Pelvic discomfort and infertility plague the women who are affected. Retrograde menstruation, coelomic metaplasia, and induction theory are three main ideas that have been proposed to explain the complex etiology. Endometriosis development is also influenced by genetics and epigenetics. Recent research has focused on the role of oxidative stress, an imbalance between reactive oxygen species (ROS) and antioxidants, in the pathophysiology of endometriosis, which results in a peritoneal cavity inflammatory response. Reactive oxygen species (ROS) are inflammatory mediators that control cell growth and have harmful effects. They are formed by normal oxygen metabolism. A systematic review was conducted to understand better the many roles of oxidative stress and its role in the development of endometriosis. Iron metabolism, oxidative stress markers (in the serum, peritoneal fluid, follicular fluid, peritoneal environment, ovarian cortex, and eutopic and ectopic endometrial tissue), oxidative stress genes, endometriosis-associated infertility, and cancer development have all been studied.
Comments on the Aharonov-Bohm Effect
Authors: Shigemoto Kazuyasu , Uehara Kunihiko
Published: October 2022

In the original setting of the Aharonov-Bohm, the gauge invariant physical longitudinal mode of the vector potential, which is expressed by the gauge invariant physical current, gives the desired contribution to the Aharonov-Bohm effect. While the scalar mode of the vector potential, which changes under the gauge transformation so that it is the unphysical mode, give no contribution to the Aharonov-Bohm effect. Then Aharonov-Bohm effect really occurs by the physical longitudinal mode in the original Aharonov-Bohm’s setting. In the setting of Tonomura et al., where the magnet is shielded with the superconducting material, not only the magnetic field but also the longitudinal mode of the vector potential become massive by the Meissner effect. Then not only the magnetic field but also the physical longitudinal mode does not come out to the region where the electron travels. In such setting, only the scalar mode of the vector potential exists in the region where the electron travels, but there is no contribution to the Aharonov-Bohm effect from that mode.
A dohányzás szerepe a cukorbetegség és szövődményeinek kialakulásában
Authors: Körei Anna Erzsébet , Putz Zsuzsanna , Istenes Ildikó , Tordai Dóra , Hajdú Noémi , Békeffy Magdolna Zsófia , Vági Orsolya , Kempler Péter
Published: October 2022

A dohányzás számos krónikus betegség, a szívérrendszeri események, a daganatos megbetegedések, a krónikus obstruktív tüdőbetegségek és a halálozás fontos kockázati tényezője. Kevésbé ismert, hogy a dohányzás szerepet játszhat a 2-es típusú cukorbetegség kialakulásában is, amiben mind a béta-sejteket károsító, mind pedig az inzulinrezisztenciát fokozó hatása szerepet játszik. Számos adat szól ma már amellett is, hogy a dohányzás elősegíti a cukorbetegség nemcsak makro‑, de mikrovaszkuláris szövődményeinek kialakulását és progresszióját. A szerzők alábbi összefoglaló közleményükben ismertetik a dohányzás és a szénhidrátanyagcsere-zavar összefüggéseit, valamint a dohányzás szövődményekre gyakorolt hatásait, részletesen kitérve a dohányzás és a diabéteszes neuropathia kapcsolatára.
Analysis of the tourist offer of the Durres Region under the perspective of tourism stakeholders
Authors: MBRİCA Ani , BRAHOLLİ Aurela , QOSJA Ermira , BRUNİLDA Licaj
Published: October 2022

This paper analyzes the tourist offer of the Durres Region from the perspective of tourism stakeholders, in accordance with the objectives set in the Albanian National Strategy for Sustainable Tourism Development 2019-2023 (Ministry of Tourism and Environment, 2018). The research method employed is qualitative, based on a questionnaire in the form of a semi-structured interview addressed to private operators, public operators, donors, and NGOs related to the sector, as well as training and educational institutions. The findings of the paper highlight the crucial importance of cooperation among the various operators in the tourism sector. They also point out the obligation of the local government to better discharge their duties concerning the management of public works, preparation of the tourist offers, organizing the inventory of tourism resources of the region, as well as the establishment and branding of the Durres Region as a tourist destination. For the private operators, the findings emphasize the need to improve the quality of service and focus a lot more on training and development of human resources.
Ortaöğretim matematik ders kitaplarındaki ölçme ve değerlendirme görevlerinin boyutlandırılması ve bilişsel düzeylerinin incelenmesi
Authors: OKUYUCU Mehmet Ata
Published: October 2022

Araştırmanın amacı, ortaöğretim matematik ders kitaplarındaki görevlerin ders kitabındaki bilgilerle ilişkisinin ve bilişsel düzeylerinin incelenmesi amaçlanmıştır. Bu amaç doğrultusunda araştırmada nitel araştırma yönteminin kullanılmasına karar verilmiştir. Araştırmanın verileri doküman analizi yoluyla elde edilmiştir. Araştırmada 2020-2021 eğitim-öğretim yılında okutulan ortaöğretim matematik ders kitaplarındaki “sayılar ve cebir”, “geometri” ve “veri, sayma ve olasılık” öğrenme alanlarına ilişkin görevler ele alınmıştır. Ders kitaplarındaki görevlerin analizi mikro düzeyde gerçekleştirilmiştir. Mikro düzey analizde, görevler yüksek, yerel düşük ve global düşük ilişkili olarak boyutlandırıldı. Sonuç olarak; 9, 10, 11 ve 12. sınıf ders kitaplarındaki görevler bakımından en fazla yüksek ilişkili görevlerin en az ise global düşük ilişkili görevlerin olduğu tespit edilmiştir. Ayrıca tüm sınıf düzeylerine ait ders kitaplarındaki görevler yenilenmiş Bloom taksonomisine göre analiz edildiğinde uygulama basamağına ait görevlerin en fazla olduğu tespit edilmiştir. Bu sebeplerle ders kitaplarındaki yerel ve global düşük ilişkili görevlerin sayısı artırılabilir ve ders kitaplarındaki görevler üst bilişsel beceriler göz önünde bulundurularak hazırlanabilir.
Study on Process Optimization and Wetting Performance of Ultrasonic-Oxidized Wool Fiber
Authors: Li Ke , Xue Wenliang , Hua Shen
Published: October 2022

As lightweight and comfortable wool products have become the mainstream of the market, the surface treatment technology of wool fiber has been widely observed. Here, we treated wool fibers by ultrasonic bath and oxidation in a composite method that was better able to improve the wetting properties of wool fiber. Using this approach, we investigated the main factors influencing the effect of treatment and established the regression equations of multiple indices on processing conditions; after testing and optimization, the optimum technological parameters were obtained and experimentally verified. In addition, test results revealed that the ultrasonic-oxidation treatment in the optimum process led to the disulfide bonds (S-S) of wool fiber breaking and being oxidized, but showed less effect on the fiber's supramolecular structure; the wool fiber surface became smoother and more uniform, which resulted in a greatly increased wettability; there was a remarkable decrease in contact angle, and the rate of moisture absorption and desorption was enhanced in response to optimal treatment. These findings are significant for the potential industrial application of wool fiber as a moisture-absorbing material in textile products.
Modified Topology and Modulation Technique for Z-Source Neutral-Point Clamped Inverter
Authors: Akbari Ehsan , Zishan Farhad
Published: October 2022

The impedance network makes it possible to increase and decrease the voltage, which is not available in normal inverters (voltage and current sources).This paper presents a modified topology and modulation technique for a three-phase Modified Z-Source Neutral-Point Clamped (MZS-NPC) inverter. A modulation scheme for the proposed topology is designed based on maximum gain control method to achieve the maximum voltage gain by simple implementation and balancing the neutral point voltage of the dc link. In order to supply the desired voltage to the critical load in an islanded micro-grid, a closed-loop ac voltage controller is realized in fuel cell or photovoltaic applications based on the proposed inverter. The ability to reinforce and validity of topology operations and modulation techniques has been demonstrated by simulation. It should be noted that the simulations are implemented in MATLAB / Simulink software.
Analysis of Shared Electric Scooter Use in Riga
Authors: Rubenis Aivars , Celms Armands , Ratkevičs Aivars
Published: October 2022

Shared electric micromobility has been becoming increasingly popular during last few years, especially in the context of Covid-19 and its impact on public transportation. Because of the electric propulsion, electric scooters are considered as potentially one of the ways how to decrease CO2 emissions in urban transportation sector. This article examines the electric scooter trip data obtained during 2021 scooter season in Riga city. The data analysis shows similarities between scooter trips in Riga and other cities, most notably the hourly trip distribution. There are differences however in many aspects, like average trip distance and duration; the largest difference being the slow average scooter trip speed in Riga, (5.4 km/h) which is comparable to fast walking. The observed significant variance between the trips indicates, that a systematic and holistic approach will be needed to use the scooter trip data making decisions about urban transportation and not relying on average trip data values. The findings from this article will add to understanding of urban transportation in North-Eastern Europe.
New improved Poisson and negative binomial item count techniques for eliciting truthful answers to sensitive questions
Authors: Kowalczyk Barbara , Wieczorkowski Robert
Published: October 2022

Item count techniques (ICTs) are indirect survey questioning methods designed to deal with sensitive features. These techniques have gained the support of many applied researchers and undergone further theoretical development. Latterly in the literature, two new item count methods, called Poisson and negative binomial ICTs, have been proposed. However, if the population parameters of the control variable are not provided by the outside source, the methods are not very efficient. Efficiency is an important issue in indirect methods of questioning due to the fact that the protection of respondents’ privacy is usually achieved at the expense of the efficiency of the estimation. In the present paper we propose new improved Poisson and negative binomial ICTs, in which two control variables are used in both groups, although in a different manner. In the paper we analyse best linear unbiased and maximum likelihood estimators of the proportion of the sensitive attribute in the population in the introduced new models. The theoretical findings presented in the paper are supported by a comprehensive simulation study. The improved procedure allowed the increase of the efficiency of the estimation compared to the original Poisson and negative binomial ICTs.
Long-term sovereign interest rates in Czechia, Hungary and Poland: a comparative assessment with an affine term structure model
Authors: Janus Jakub
Published: October 2022

This paper provides a comparative evaluation of the behaviour of long-term sovereign yields in Czechia, Hungary and Poland from 2001 to 2019. An affine term structure model developed by Adrian, Crump and Moench (2013) is used as an empirical framework for the decomposition of the bond yields into term premium and risk-neutral components. We document a substantial compression in term premia which started in Central European economies around 2013 and played a decisive role in the changes that occurred in 10-year sovereign yields. This pattern, however, was more prevalent in Czechia and Poland than in Hungary. We show that long-term rates in all three economies remained higher than in Germany due to relatively large risk-neutral components. Nevertheless, cross-country correlations became increasingly dependent on term premium dynamics, both among Central European economies and between each of them and Germany. These results are robust to bias-correction in the baseline models and interpreted in the light of the general interest rates decline in the global economy. Potential policy implications are also discussed.
Variance estimation in stratified adaptive cluster sampling
Authors: Yasmeen Uzma , Noor-ul-Amin Muhammad , Hanif Muhammad
Published: October 2022

In many sampling surveys, the use of auxiliary information at either the design or estimation stage, or at both these stages is usual practice. Auxiliary information is commonly used to obtain improved designs and to achieve a high level of precision in the estimation of population density. Adaptive cluster sampling (ACS) was proposed to observe rare units with the purpose of obtaining highly precise estimations of rare and specially clustered populations in terms of least variances of the estimators. This sampling design proved to be more precise than its more conventional counterparts, including simple random sampling (SRS), stratified sampling, etc. In this paper, a generalised estimator is anticipated for a finite population variance with the use of information of an auxiliary variable under stratified adaptive cluster sampling (SACS). The bias and mean square error expressions of the recommended estimators are derived up to the first degree of approximation. A simulation study showed that the proposed estimators have the least estimated mean square error under the SACS technique in comparison to variance estimators in stratified sampling.
Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart
Authors: Adepoju Akeem Ajibola , Abdulkadir Sauta S. , Jibasen Danjuma , Chiroma Haruna
Published: October 2022

Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement, an interval type-2 fuzzy set deals with such uncertainty better due to its flexibility over the control limits of its control chart. This paper aims to develop an Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart (IT2FEWMA) under the fuzzy type-2 condition. This development will facilitate monitoring small and moderate shifts in the production process in conditions of uncertainty.
The length-biased power hazard rate distribution: Some properties and applications
Authors: Mustafa Abdelfattah , Khan M. I.
Published: October 2022

In this article, the length-biased power hazard rate distribution has introduced and investigated several statistical properties. This distribution reports an extension of several probability distributions, namely: exponential, Rayleigh, Weibull, and linear hazard rate. The procedure of maximum likelihood estimation is taken for parameters. Finally, the applicability of the model is explored by three real data sets. To examine, the performance of the technique, a simulation study is extracted.
Socio-economic development and quality of life of NUTS-2 units in the European Union
Authors: Jewczak Maciej , Brudz Magdalena
Published: October 2022

Analyses regarding socio-economic development and quality of life are an important aspect of research and discussion for many international organisations, states and local authorities. Due to the complexity and multidimensionality of these issues, conducting research can be problematic. The conclusions of various analytical centres indicate that there are many paths towards establishing a set of factors which affect quality of life and ways of assessing socio-economic development levels. Depending on the criteria considered, the most common methods for determining the degree of the advancement of life quality or socio-economic development include taxonomical techniques and analyses of potential, which are based mainly on objective data sourced from official registers.

The main purpose of the paper is to investigate the level of socio-economic development and quality of life in the European Union in the years 2004 and 2018. The analyses were conducted for a rarely used level of spatial data aggregation, i.e. for NUTS-2 units. The analysis covers only those European regions that were EU members in 2004. As the primary research tool, the two-dimensional development matrix was adopted, which enabled the verification of the hypothesis regarding the convergence of synthetic measures that indicate the levels of socio-economic development and quality of life in the EU regions. For these indices, the development matrix is also used to identify the strengths and weaknesses as well as the opportunities and threats for selected spatial units, and, at the same time, to estimate the rates of change of the socio-economic development and quality of life levels.
ARFURIMA models: simulations of their properties and application
Authors: Jibrin Sanusi Alhaji , Rahman Rosmanjawati Abdul
Published: October 2022

This article defines the Autoregressive Fractional Unit Root Integrated Moving Average (ARFURIMA) model for modelling ILM time series with fractional difference value in the interval of 1 <d< 2. The performance of the ARFURIMA model is examined through a Monte Carlo simulation. Also, some applications were presented using the energy series, bitcoin exchange rates and some financial data to compare the performance of the ARFURIMA and the Semiparametric Fractional Autoregressive Moving Average (SEMIFARMA) models. Findings showed that the ARFURIMA outperformed the SEMIFARMA model. The study’s conclusion provides another perspective in analysing large time series data for modelling and forecasting, and the findings suggest that the ARFURIMA model should be applied if the studied data show a type of ILM process with a degree of fractional difference in the interval of 1 <d< 2.
Extracting relevant predictors of the severity of mental illnesses from clinical information using regularisation regression models
Authors: Kaushik Sakshi , Sabharwal Alka , Grover Gurprit
Published: October 2022

Mental disorders are common non-communicable diseases whose occurrence rises at epidemic rates globally. The determination of the severity of a mental illness has important clinical implications and it serves as a prognostic factor for effective intervention planning and management. This paper aims to identify the relevant predictors of the severity of mental illnesses (measured by psychiatric rating scales) from a wide range of clinical variables consisting of information on both laboratory test results and psychiatric factors. The laboratory test results collectively indicate the measurements of 23 components derived from vital signs and blood tests results for the evaluation of the complete blood count. The 8 psychiatric factors known to affect the severity of mental illnesses are considered, viz. the family history, course and onset of an illness, etc. Retrospective data of 78 patients diagnosed with mental and behavioural disorders were collected from the Lady Hardinge Medical College & Smt. S.K, Hospital in New Delhi, India. The observations missing in the data are imputed using the non-parametric random forest algorithm. The multicollinearity is detected based on the variance inflation factor. Owing to the presence of multicollinearity, regularisation techniques such as ridge regression and extensions of the least absolute shrinkage and selection operator (LASSO), viz. adaptive and group LASSO are used for fitting the regression model. Optimal tuning parameter λ is obtained through 13-fold cross-validation. It was observed that the coefficients of the quantitative predictors extracted by the adaptive LASSO and the group of predictors extracted by the group LASSO were comparable to the coefficients obtained through ridge regression.
Regression model of water demand for the city of Lodz as a function of atmospheric factors
Authors: Domański Czesław , Kubacki Robert
Published: October 2022

One of the Sustainable Development Goals (Goal 6) set by the United Nations is to provide people with access to water and sanitation through sustainable water resources management. Water supply companies carrying out tasks commissioned by local authorities ensure there is an optimal amount of water in the water supply system. The aim of this study is to present the results of the work on a statistical model which determined the influence of individual atmospheric factors on the demand for water in the city of Lodz, Poland, in 2010-2019. In order to build the model, the study used data from the Water Supply and Sewage System Company (Zakład Wodociągów i Kanalizacji Sp. z o.o.) in the city of Lodz complemented with data on weather conditions in the studied period. The analysis showed that the constructed models make it possible to perform a forecast of water demand depending on the expected weather conditions.
Advances on Permutation Multivariate Analysis of Variance for big data
Authors: Bonnini Stefano , Assegie Getnet Melak
Published: October 2022

In many applications of the multivariate analyses of variance, the classic parametric solutions for testing hypotheses of equality in population means or multisample and multivariate location problems might not be suitable for various reasons. Multivariate multisample location problems lack a comparative study of the power behaviour of the most important combined permutation tests as the number of variables diverges. In particular, it is useful to know under which conditions each of the different tests is preferable in terms of power, how the power of each test increases when the number of variables under the alternative hypothesis diverges, and the power behaviour of each test as the function of the proportion of true alternative hypotheses. The purpose of this paper is to fill the gap in the literature about combined permutation tests, in particular for big data with a large number of variables. A Monte Carlo simulation study was carried out to investigate the power behaviour of the tests, and the application to a real case study was performed to show the utility of the method.
Scaled Fisher consistency for the partial likelihood estimation in various extensions of the Cox model
Authors: Bednarski Tadeusz , Nowak Piotr B. , Skolimowska-Kulig Magdalena
Published: October 2022

The Cox proportional hazards model has become the most widely used procedure in survival analysis. The theoretical basis of the original model has been developed in various extensions. In the recent years, vital research has been undertaken involving the incorporation of random effects to survival models. In this setting, the random effect is a variable (frailty) which embraces a variation among individuals or groups of individuals which cannot be explained by observable covariates. The right choice of the frailty distribution is essential for an accurate description of the dependence structure present in the data. In this paper, we aim to investigate the accuracy of inference based on the primer Cox model in the existence of unobserved heterogeneity, that is, when the data generating mechanism is more complex than presumed and described by the kind of an extension of the Cox model with undefined frailty. We show that the conventional partial likelihood estimator under the considered extension is Fisher-consistent up to a scaling factor, provided symmetry-type distributional assumptions on covariates. We also present the results of simulation experiments that reveal an exemplary behaviour of the estimators.
On the quick estimation of probability of recovery from COVID-19 during first wave of epidemic in India: a logistic regression approach
Authors: Joshi Hemlata , Azarudheen S. , Nagaraja M. S. , Chandraketu Singh
Published: October 2022

The COVID-19 pandemic has recently become a threat all across the globe with the rising cases every day and many countries experiencing its outbreak. According to the WHO, the virus is capable of spreading at an exponential rate across countries, and India is now one of the worst-affected country in the world. Researchers all around the world are racing to come up with a cure or treatment for COVID-19, and this is creating extreme pressure on the policy makers and epidemiologists. However, in India the recovery rate has been far better than in other countries, and is steadily improving. Still in such a difficult situation with no effective medicine, it is essential to know if a patient with the COVID-19 is going to recover or die. To meet this end, a model has been developed in this article to estimate the probability of a recovery of a patient based on the demographic characteristics. The study used data published by the Ministry of Health and Family Welfare of India for the empirical analysis.
Assessing the effect of new data sources on the consumer price index: a deterministic approach to uncertainty and sensitivity
Authors: Białek Jacek , Panek Tomasz , Zwierzchowski Jan
Published: October 2022

One of the greatest challenges facing official statistics in the 21st century is the use of alternative sources of data about prices (scanned and scraped data) in the analysis of price dynamics, which also involves selecting the appropriate formula of the price index at the elementary group (5-digit) level. When consumer price indices of goods and services are constructed, a number of subjective decisions are made at different stages, e.g. regarding the choice of data sources and types of indices used for the purpose of estimation. All of these decisions can affect the bias of consumer price indices, i.e. the extent to which they contribute to the overall uncertainty about the resulting index values. By measuring how robust consumer price indices are, one can assess the impact that the decisions made at the different stages of index construction have on the index values. This assessment involves analysing uncertainty and sensitivity. The purpose of the study described in the article was to determine how much and in which direction the consumer price index changes when including scanner and scraped data in the analysis, in addition to the data on prices collected by enumerators. The impact of these new data sources was assessed by analysing uncertainty and sensitivity under the deterministic approach. To the best of the authors’ knowledge, it is a novel application of robustness analysis to measure inflation using new data sources. The empirical study was based on data for February and March 2021, while scanner and scraped data about selected categories of food products were obtained from one retail chain operating hundreds of points of sale in Poland and selling products online. It was found that the choice of a data source has the most significant impact on the final value of the index at the elementary group level, while the choice of the aggregation formula used to consolidate different data sources is of secondary importance.
A comparison of the method of moments estimator and maximum likelihood estimator for the success probability in the Fibonacci-type probability distribution
Authors: Kwon Yeil
Published: October 2022

A Fibonacci-type probability distribution provides the probabilistic models for establishing stopping rules associated with the number of consecutive successes. It can be interpreted as a generalized version of a geometric distribution. In this article, after revisiting the Fibonacci-type probability distribution to explore its definition, moments and properties, we proposed numerical methods to obtain two estimators of the success probability: the method of moments estimator (MME) and maximum likelihood estimator (MLE). The ways both of them performed were compared in terms of the mean squared error. A numerical study demon-srated that the MLE tends to outperform the MME for most of the parameter space with various sample sizes.
Interval shrinkage estimation of the parameter of exponential distribution in the presence of outliers under loss functions
Authors: Nasiri Parviz
Published: October 2022

In this paper, we studied estimators based on an interval shrinkage with equal weights point shrinkage estimators for all individual target points ¯θ ∈ (θ
0,θ
1) for exponentially distributed observations in the presence of outliers drawn from a uniform distribution. Estimators obtained from both shrinkage and interval shrinkage were compared, showing that the estimators obtained via the interval shrinkage method perform better. Symmetric and asymmetric loss functions were also used to calculate the estimators. Finally, a numerical study and illustrative examples were provided to describe the results.
An improved ridge type estimator for logistic regression
Authors: Varathan Nagarajah
Published: October 2022

In this paper, an improved ridge type estimator is introduced to overcome the effect of multi-collinearity in logistic regression. The proposed estimator is called a modified almost unbiased ridge logistic estimator. It is obtained by combining the ridge estimator and the almost unbiased ridge estimator. In order to asses the superiority of the proposed estimator over the existing estimators, theoretical comparisons based on the mean square error and the scalar mean square error criterion are presented. A Monte Carlo simulation study is carried out to compare the performance of the proposed estimator with the existing ones. Finally, a real data example is provided to support the findings.
Impact of restrictions on the COVID-19 pandemic situation in Poland
Authors: Herman Sergiusz
Published: October 2022

The COVID-19 pandemic has had a substantial impact on public health all over the world. In order to prevent the spread of the virus, the majority of countries introduced restrictions which entailed considerable economic and social costs. The main goal of the article is to study how the lockdown introduced in Poland affected the spread of the pandemic in the country. The study used synthetic control method to this end. The analysis was carried on the basis of data from the Local Data Bank and a government website on the state of the epidemic in Poland.

The results indicated that the lockdown significantly curbed the spread of the COVID-19 pandemic in Poland. Restrictions led to the substantial drop in infections – by 9500 cases – in three weeks. The results seem to stay the same despite the change of assumptions in the study. Such conclusion can be drawn from the performance of the placebo-in-space and placebo-in-time analyses.
Analyzing the publication activity effectiveness of a scientific organization based on the Citation Index (the CEMI RAS case)
Authors: AKINFEEVA Ekaterina V. , NIKONOVA Mariya A.
Published: October 2022

Subject. The article addresses the assessment of publication activities effectiveness of an organization engaged in scientific research in the humanities, carried out on the basis of citation indexes of publications of employees. Objectives. The purpose is to evaluate the effectiveness of publication activities of a scientific organization and its employees, based on indicators of citation level, the number of publications, the Hirsch index. Methods. The study rests on general scientific research methods. Results. We performed a comparative analysis of publication activities of three institutes engaged in research in the field of economics, presented an overview of Russian databases, i.e. the Russian Science Citation Index (RSCI), the eLibrary platform, analyzed the effectiveness of publication activities of scientific researchers of the Central Research Institute of the Russian Academy of Sciences by field of science and by academic position, using the indicators of citation index (Hirsch index), the number of publications included in the RSCI, and the number of references from the RSCI. Our analysis demonstrated high efficiency of the CEMI RAS, which to a greater extent depends on the publication activities of its staff in the position of chief and leading researchers. Conclusions. The existing system for evaluating the publication activities of scientific organizations, which rests on quantitative indicators, is effective, though not sufficiently informative. It is required to expand the list of indicators and conduct a peer review of researchers’ publications.
Information support to economic analysis and evaluation of utilization efficiency of scientific research grants
Authors: ENDOVITSKII Dmitrii A. , BUBNOVA Ekaterina Yu.
Published: October 2022

Subject. A scientific trend in the academic environment is a doctrine of the formation of an information field on grant activities. The wide use of various information sources and the lack of unified approach to information and methodological support to the economic analysis of grant utilization in universities require a thorough study of the issue and development of proposals for grouping and using the information on grants.
Objectives. The study aims to develop a concept of information generation on grant activities in educational institutions and determine the content of information base during grant project implementation as the basis for economic analysis.
Methods. We rely on reviews of relevant academic and periodical economic literature in the field of scientific and theoretical provisions and practical developments of information support to economic analysis and evaluation of research grant utilization efficiency. Methods employed include generalization, systematization, and grouping.
Results. We developed a concept of the formation of information environment for grant process subjects. The paper presents our own definition of subjects of grant activity and recommends a structure of information space for grant projects, including individual elements and their content disclosure.
Conclusions. The generation of information for conducting economic analysis and evaluating the effectiveness of grant activities conceptually depends on the data grouped by grant process subject. The information space is divided into separate components, their content enables to determine the key positions of economic analysis of grant funding.
Approaches to the interpretation of the classical model of the experience economy
Authors: FEDOROVA Elena A. , KHRUSTOVA Lyubov' E.
Published: October 2022

Subject. This article deals with the theory of the experience economy and its place in the system of modern economic models.
Objectives. The article aims to substantiate the need to develop tools to support and stimulate the experience economy in Russia.
Methods. For the study, we used a content analysis, aspect analysis, and systematization of approaches of Russian and foreign authors.
Results. The article systematizes the results of research of domestic and foreign authors, complementing the classical approach to the interpretation of the content of the experience economy. It also substantiates the relevance and significance of the study of the experience economy in the conditions of the present-day realities of the Russian economy, taking into account the sectoral aspect.
Conclusions and Relevance. The classical model of the experience economy and the traditionally identified spheres of consumer experience get reflected in various sectors of the economy. The concept of the experience economy is the basis for the development of applied tools aimed at achieving a certain reaction of the consumer, which determines the prospects for the development of the experience economy in Russia. The study results obtained are the theoretical basis for the development of applied industry tools to support and stimulate the experience economy in Russia, and can also be used to further conceptualize the theory of the experience economy.
A comprehensive assessment of the aggregate fiscal sustainability of subnational heavily subsidized budgets
Authors: TASHTAMIROV Magomed R.
Published: October 2022

Subject. This article tests the author-developed methodology for assessing the level of aggregate fiscal sustainability of high-subsidized budgets at the subnational level of Russia.
Objectives. The article aims to determine the level of aggregate fiscal sustainability and stability of high-subsidized budgets at the subnational level of Russia and identify the features of such sustainability in the process of functioning of the mechanism of inter-budgetary regulation and fiscal equalization.
Methods. For the study, I used the methods of time series, comparison and collation, grouping, logical generalization, and the ratio analysis.
Results. The article presents a rating of stability of high-subsidized budgets of the subjects of Russia, compiled on the basis of an assessment of the aggregate budgetary stability of five groups of indicators. The article also reveals the systematic verticalization and centralization of the system of inter-budgetary regulation in relation to high-subsidized regions.
Conclusions and Relevance. Applying the methodology of comprehensive assessment of the sustainability of high-subsidized budgets made it possible to identify the problematic aspects of the budgetary state of regional finances. This can be used by the executive authorities, namely the financial ones, in order to analyze the state of the subnational budgets of the country's budget system. Also, this technique can be used in determining the volume of inter-budgetary transfers to equalize the budget provision in relation to the high-subsidized budgets of the regions of Russia. This can help increase the level of per capita budgeting of depressed subjects of the country.
La intervención estatal y el Estado social de derecho: análisis de como las ramas del poder público materializan los derechos fundamentales
Authors: Aguilera Izaguirre Gustavo , Roncancio Bedoya Andres Felipe , Restrepo Marulanda Mariana
Published: October 2022

El presente artículo tiene el propósito de revisar la construcción del concepto de Estado social y democrático de derecho en Colombia; concepto sobre el que es necesario elaborar un análisis que lo comprenda como categoría jurídica y como categoría política del constitucionalismo, es por ello que se partirá desde la intervención estatal que se produce en pro de las garantías de derechos fundamentales, puesto que este resulta ser un elemento imprescindible dentro de este modelo estatal. De igual mamera, se hará especial énfasis en el caso jurídico colombiano, pues dentro de este, el concepto de Estado social y democrático trajo consigo un fenómeno de constitucionalización del ordenamiento jurídico frente al funcionamiento de cada una de las ramas del poder público, las cuales consolidan sus funciones al generar protección social como consecuencia efectiva del mandato de la Constitución Política. Así, la rama judicial —en cabeza de la Corte Constitucional como guardián de la carta— crea las condiciones de interpretación que se traducen en la concreción de la norma superior; la rama ejecutiva entiende que debe intervenir para garantizar los derechos fundamentales; y el legislador —manifestación máxima de la democracia constitucional— debe motivar su libertad de configuración normativa en consonancia con la Constitución.