bluuebunny/crossref_metadata_2025 huggingface dataset:
Organization of Mass Vaccine Prevention in the Conditions of a Modern Megapolis
Authors: Starshinin A. V. , Elagina T. N. , Novikova Yu. B. , Gribanovskaya G. N. , Kamynina N. N. , Nechaev O. I.
Published: September 2023

Relevance. Thanks to decisions taken at the national level, many countries have managed to significantly increase coverage with preventive vaccination and reduce mortality from vaccine-preventable diseases. However, the COVID-19 pandemic has recaptured the relevance of organizing mass vaccination. Based on the current epidemiological situation, characteristics of the population, peculiar features of infrastructure, available resources in individual country, and individual city, various organizational vaccination solutions have been developed and implemented. The Moscow-based experience of vaccinating against influenza at mobile vaccination sites near the Moscow metro stations in 2016 became the starting point in the development of new organizational forms and technologies for mass vaccination in a megapolis, that have been successfully adapted to the new conditions of the COVID19 pandemic.

Aims. is to summarize foreign and Russian (exemplified by Moscow) experience in organizing mass vaccination.

Material and methods. The study is based on the publication search results in Google and PubMed. The authors selected materials published in 2017– 2023. The implemented analysis of the long-term dynamics in the influenza incidence in the Russian Federation, the Central Federal District (CFD) and Moscow was based on data of the Federal State Statistical Observation Form No. 2 «Information on infectious and parasitic diseases» for 2013–2019.

Results and discussion. The analysis of foreign experience shows that the development and implementation of new forms of mass vaccination cannot become a "standard project". In each region of the world, it is organized with due regard to the local economic, legal, social, medical, organizational and even cultural conditions. Vaccination of the population against influenza at mobile vaccination sites near the Moscow metro stations contributed to a 42.3% decrease in the incidence of influenza (from 24.6 in 2016 to 14.2 per 100,000 population in 2017). In 2019, the incidence of influenza in Moscow was 28.8% lower than the CFD one and 62.2% lower than the Russian rate. The recognized successful experience of deploying mobile vaccination sites near the metro stations has been significantly expanded to control the COVID-19 pandemic with mobile teams, vaccination sites in shopping centers, etc.

Conclusion. The conducted research and literature data substantiate the deployment of additional vaccination sites to ensure the necessary coverage with vaccination within a short period of time.
The Agricultural Land Market in Ukraine: Current Conjuncture and Problems of Formation
Authors: LUNOVA Т.
Published: September 2023

The agricultural land market was launched in Ukraine on July 1, 2021. Before its opening in Ukraine, experts had attempted to outline various scenarios of its operation, but most part of the predictions proved to be far from reality. The inadequacy and unsoundness of these predictions raise the importance of studies devoted to the current conjecture of the agricultural land market in Ukraine.    

The article contains results of a study of the processes involved in the formation of the agricultural land market in Ukraine and its current conjuncture. A review of the legal acts of Ukraine that streamlined the evolution of relations on this market was made: the Decree of the President of Ukraine “Urgent measures to accelerate reforms in the agrarian sector of the economy” (1999), the Land Code of Ukraine (2001), the Decree of the President of Ukraine “Supplementary measures on social protection of rural residents who are owners of land plots and land parts (shares)” (2002), the Law of Ukraine “Amendments to some legislative acts of Ukraine on terms of the turnover of agricultural lands” (2020). A comparison of the cost of land lease in Ukraine and EU countries in 2019, and the actual weighted average price of 1 hectare of agricultural land in Ukraine and some other countries was made. Domestic sources of information on the land market operation in Ukraine are given.     

It is concluded that the land market in Ukraine is in the passive state now, with both demand and supply being slack. The factors behind the low demand and supply on the domestic land market were identified: the demand is constrained by a limited range of buyers and lack of uncostly mortgage loans for purchase of land; the supply is constrained by the low market price of 1 hectare of land, inability of the majority of residents to sell their shares in case of the valid leasing contract, bad legal and financial literacy of rural inhabitants. The efficiency of land leasing in Ukraine remains to be low due to irrational use of soils by land tenants. The need for government regulation of this market is shown.
Regional Assessment of the Environmental Performance in Ukraine
Authors: HOLUBOVA H.
Published: September 2023

The impact of economic progress on the environmental performance and public health, urgent problems, and regulatory documents on the environmental protection in Ukraine are highlighted. The statistical data on emission of pollutants in the air and water basin of Ukraine in 2010–2019 are shown. The regional differentiation of the ecological situation of Ukraine in 2019 is analyzed on the basis of the multidimensional average. The index of ecological threat, calculated on the basis of 12 indicators, is offered. The analysis revealed that the industrial regions of Ukraine had the greatest negative impact on the environment: Dnipropetrovsk (1.694) and Donetsk (1.137) regions. The lowest environmental risks were in Chernivtsi (-0.605), Transcarpathia (-0.452), Kherson (-0.376), Ternopil (-0.366), Mykolayiv (-0.342) regions. A typology of Ukrainian regions based on the index of ecological threat is proposed, with breaking the regions into three groups: regions with high, medium, and moderate level of risks. The group with the high level of threats includes two regions of Ukraine, the group with the medium level of risks – 5 regions, and the group with the moderate level of risks – 17 regions. The analysis shows a significant regional differentiation of Ukraine in terms the environmental threat. It confirms the need for a targeted environmental policy focused on the following objectives: greening of production, introduction of alternative energy sources, resource-saving and environmentally friendly technologies, competent waste management, reconstruction and modernization of waste treatment facilities.
An Analysis of the International Law on Waste Statistics
Authors: MOTUZKA O.
Published: September 2023

The article contains an analytical review of the regulatory framework in the waste statistics. By summing up documentary evidences (conventions on protection of the population health and environment, objectives and indicators of Sustainable Development Goals, related with waste), it is demonstrated that waste statistics plays important role in identifying waste-specific problems, priority setting in waste management, formulating and implementing policy goals in waste management.    
It is shown that the waste statistics is collected by various international entities, and reports on waste generated in the process of economic activities are made up using two main classifications: International Standard Industrial Classification of All Economic Activities (ISIC), and Statistical Classification of Economic Activities in the European Community (NACE). The EU practices in the waste statistics are highlighted. The EU approach to waste treatment is based on “waste hierarchy”. In practice, a major part of EU countries collects the data on waste types by the List of Waste. After that, the conformity between the types of waste and EWC-Stat is set using the translation table given in Annex III to the Waste Statistics Regulation. Only several countries collect data by the reliance on EWC-Stat.
Problems faced by the waste statistics are discussed (inadequate comparability of waste statistics due to different methods and definitions used in the data production; incomplete coverage of waste-specific issues by the official waste statistics), sources of these problems are determined.    
The analysis demonstrates that the waste statistics is a rather new field in EU, which evidence is the ongoing change in the EU regulatory framework. The countries producing waste data with reference to it or implementing it should do it by taking account for the most recent change. The need for harmonization of national methodologies in the waste statistics is highlighted.
The Standard of Living of the Ukrainian Population: Approaches to Analysis and the Current Situation
Authors: LUNOVA Т.
Published: September 2023

The Ukrainian society suffers from the low standard of living in all its manifestations. Given the multifaceted nature of this problem and the emergence of new trends in the socio-economic development of national economies in conditions of instability, a comprehensive and ongoing analysis of the standard of living of the Ukrainian population is relevant.
The aim of the article is to study the methodological approaches to the assessment and analysis of the standard of living of the Ukrainian population, aimed at finding mechanisms for their further growth.
Problems related with the standard of living have long been studied by researchers, with different approaches to its assessment. This analysis is more often conducted using three groups of indicators: economic, social and demographic. An attempt to create an integrated indicator of the standard of living is the Human Development Index (HDI) developed by experts from the United Nations Development Program.
The Ukraine’s position in the world according to the Human Development Index is analyzed. In 2019, Ukraine ranked 74th among 189 countries and territories in terms of HDI (0.779), which was 0.725 in 1990. It was found that Ukraine had a much lower gross national income per capita than economically developed countries.
A statistical analysis of the standard of living of the Ukrainian population in 2015–2020 by economic, social and demographic indicators is made. High levels of relative poverty, declining birth rates, unsatisfactory demographic indicators of the standard of living such as natural growth rate and life expectancy at birth were identified.
Problems and Prospects of Cross-Border Cooperation in Ukraine
Authors: PARKHOMENKO V.
Published: September 2023

The purpose of the article is to analyze the current state of cross-border cooperation in Ukraine, characterize the main problems and outline the prospects for its development.
The article considers the importance of cross-border cooperation for Ukraine, which consists in the possibility of solving common economic, cultural and environmental problems with the border regions of neighboring countries, attracting foreign capital, creating new jobs, equalizing territorial disparities in development.
The history of formation of cross-border cooperation in the country is analyzed. It was found that the first Euroregion in Ukraine, the Carpathian one, was established in 1993, and in 1996 Ukraine became a member of the Tacis CBC Cross-Border Cooperation Program.
The composition of the legal framework for the regulation of cross-border cooperation is studied, the conclusion is made about the declarative nature of state programs for its development.
The problems hindering the development of cross-border cooperation in Ukraine are described. The main ones are the following: insufficient financial support for the implementation of cross-border cooperation projects and programs; insufficient level of project management quality at the level of subjects and participants of cross-border cooperation; inefficient use of borrowed funds; lack of official statistical information in the field of cross-border cooperation.
Perspective directions of development of cross-border cooperation in Ukraine are outlined, among which it is necessary to allocate: creation of the uniform scientifically substantiated concept of cross-border cooperation of Ukraine with the EU member states which would consider the general European and national priorities; developing a clear mechanism for raising funds at the national level to ensure cross-border cooperation programs; improving existing mechanisms for obtaining and using EU technical assistance; intensification of formation and development of cross-border clusters.
Theories and Methods Involved in the Interpretation and Assessment of the Financial Security of the State in the Context of Socio-Economic Transformation
Authors: ZAICHKO I.
Published: September 2023

Theoretical and methodological tools for determining and assessing financial security have been deepened. An analysis of the publications of Ukrainian scholars on approaches to the interpretation of the concept of “financial security”, including the definition of components of financial security, which shows that most often it is allocated to budget security. A matrix of approaches to determining the components of financial security. The essence and nature of budget security are determined, it is shown that budget security is the main component of financial security, which indicates the importance of budget policy in the system of financial security of the state. The author’s definition of financial security of the state as a state of stability and stable protection against threats in the budget sphere, which is characterized by ensuring the solvency of the state and a high level of budget, debt, banking, currency, monetary security and is achieved through effective fiscal policy.
 Based on the Guidelines for calculating the level of economic security of Ukraine of the Ministry of Economic Development and Trade of Ukraine from 2013, 6 indicators (sub-indices) of economic security of Ukraine for 2016–2018 were calculated (banking security, security of non-banking financial sector, debt security, currency security, monetary credit security and budget security), as well as an integrated indicator of financial security of Ukraine. The results of calculations show that the financial security of Ukraine in 2016–2018 was at a dangerous level, which confirms the need to form and implement a set of policy measures to support it.
A Model for the Assessment of Management Competencies of Masters in Management
Authors: PERKHUN L. , TOVMACHENKO N. , MAISTRUK YU.
Published: September 2023

The article presents the authors’ model for the assessment of management competencies (MC) of masters in management, based on expert evaluation of the MC level by 28 criteria, broken into three groups of management functions: effectiveness of management decisions, organization and monitoring of work, and motivation and development of personnel. Six MC levels are set depending on the intensity of manifestation of each group of management functions: strong, medium, and weak. A binary matrix is constructed for each level by the method of paired comparisons. The distances between the measured MC level of a master in management and the benchmark matrices are proposed to be calculated as the Hamming metric, because it allows to employ Boolean values and accounts for the sequence of the measurements.  
The model application is demonstrated by field experiments with master students of the specialty “Management” in the second academic year. To confirm the adequacy of the model and results of its testing, the consistency of expert opinions is estimated by the concordance factor; the statistical significance of the latter is confirmed by use of Pearson statistics; the input data for an assumed student with a high level of MC formation are simulated, with demonstrating through calculations that the minimal distance will be the one between the matrix of this student’s data and the benchmark matrix for the high MC level.      
The calculations were made using MathCad software. The consistency of expert opinions was evaluated by use of Statistica software package. 
The proposed model can be applied to assess any kind of competencies, for students of various specialties. It will require only changed assessment criteria.
Defense Method against an Attack of Incorrect Ballot Filling in a Remote Electronic Voting System
Authors: Yakovlev V. , Salman V.
Published: September 2023

The remote electronic voting system based on homomorphic encryption and blockchain technologies is analyzed. The existing methods of protecting the voting system from an attack related to incorrect filling a ballot by the voter are studied. The method to protect against an attack of violation of the rules for filling a ballot as a whole is developed, which increases the security of voting system by ensuring secrecy of total number of votes given by voter during the verification correctness of filling a ballot.
Equivalent Circuits Application of Pin-Diodes and MEMS-Keys in Electrodynamic Modeling Problems
Authors: Ishchenko E. , Pasternak Yu. , Pendyuein V. , Proskurin D. , Fedorov S.
Published: September 2023

This article studies the possibility of using circuit formats to describe radio components in electrodynamic modeling problems. The study was carried out on the example of a controlled metamaterial in the form of an electromagnetic crystal with SPICE-models of equivalent circuits of pin-diodes and MEMS-keys. Also, the possibility of using Touchstone files as an alternative format for describing radio-electronic components was considered. The obtained results are illustrated by scatter matrix plots, as well as equivalent circuits and SPICE code. Obtained results can be used for the design of structures that combine active nonlinear radio components and microwave devices.
Location Aware Beamforming in Millimeter-Wave Band Ultra-Dense Radio Access Networks. Part 1. Model of Two Links
Authors: Fokin G.
Published: September 2023

The evolution of 1G to 4G radio access networks (RANs) over the past 40 years has shown that beamforming (BF) capabilities add an additional spatial dimension to traditional device multiplexing methods. When base stations (gNodeB - gNB) and user equipment (UE) form narrow antenna radiation patterns (APPs), in addition to frequency, time and code division of channels, an additional spatial dimension appears that implements spatial multiplexing. This concept has been known for quite a long time, but the full implementation of its capabilities in practice is expected with the widespread adoption of millimeter wave (mmWave) ultra-dense networks (UDN) of the fifth (5G) and subsequent (B5G) generations. To control APP, the approach of preliminary analysis of training sequences about the current situation in the radio channel  - CSI (Channel State Information) - can be used, but its overhead costs become unacceptably high in conditions of ultra-dense distribution of devices. An alternative approach is positioning-based BF. The validity, relevance and prospects of this approach are determined by the fact that for 5G networks, unlike previous generations, for the first time the requirements for UE positioning accuracy up to one meter are formalized. Initial research in the field of location-aware BF has already been carried out over the past years, however, mainly for particular scenarios of one or more radio links between gNBs and fixed UEs. In this work, for the first time, a scientifically based methodology for controlling the beam pattern of a stationary gNB based on the positioning of a mobile UE for a two-radio link scenario is formalized and implemented in software. The problem of practical implementation of BF is the difficulties to predict level of interference due to the mutual influence of radio links with mobile UEs. When estimating the instantaneous signal-to-interference ratio in a two-radio link scenario between two fixed gNBs that perform BF based on the current location of mobile UEs as they move, it is necessary to take into account the mutual influence of each other's radio links on each other. In such a scenario, a transmitter on one radio link acts both as a source of a wanted signal for one UE and as a source of an interfering signal for another UE. The task of assessing interference for such a scenario is complicated by the nonlinearity of the transmitter and/or receiver ARPs. The model developed and implemented in software in this work uses the functions of the Phased Array System Toolbox Matlab extension package. The simulation results show a significant scatter (tens of dB) of the instantaneous signal-to-interference ratio depending on the territorial separation of devices and can be used to justify scenarios for the construction and operation of 5G/B5G UDN.
Konsep Tabayun Perspektif Hasbi Ash Shiddieqy dan Relevansinya Pada Zaman sekarang
Authors: Tohri Zia
Published: September 2023

Pada artikel ini membahas tentang bagaimana konsep Tabayun Perspektif Hasbi asih shiddieqy dalam tafsirnya An Nur dan Relevansinya pada zaman sekarang, dan penelitian ini dilatarbelakangi oleh perhatian penulis terhadap konsep  tabayyun dari setiap mufassir, terdapat dua ayat yang fokus membahas tabayyun yakni pada surah an-Nisa’ ayat 94 dan surah al-Hujurat ayat 6. Para ulama berbeda pendapat mengenai kata tabayyun, imam asy-Syaukani mengatakan, tabayyun adalah mencari tahu dan memeriksa, seangkan menurut al-Qurthubi dalam tafsirnya tabayyun ialah mencari kepastian pada peneriman suatu berita. Dan tabayyun menurut Tengku Muhammad Hasbi ash-Shiddeqy adalah meneliti dan mencari kepastian suatu berita. Setiap mufassir memiliki perbedaan atau persamaan dalam menafsirkan suatu ayat, tentunya tidak terlepas dari histori-biografi setiap mufassir, dari segi corak, metode yang digunakan dalam menafsirkan al Qur'an dan kondisi masyarakat ketika menyusun tafsirnya Jenis penelitian ini menggunakan penelitian library research atau penelitian pustaka. Metode pengumpulan data menggunakan yang digunakan adalah metode dokumentasi, sedangkan metode analisis yang digunakan adalah gabungan dari metode maudhu’i dan teori double movement (analisis hermeneutika)Konsep tabayyun menurut Tengku Muhammad Hasbi ash-Shiddieqy dibaca dari teori double movement Fazlur Rahman dilihat dari larat belakang historisnya adalah mencari tahu tentang kebenaran dan berhati-hati atau tidak gegabah dalam bertindak atas suatu yang belum jelas kebenarannya. tentunya dengan mengedepankan sikap kehati-hatian, croschek atau klarifikasi sehingga tidak menimbulkan berbagai macam kerugian atau kekacauan pada diri sendiri dan orang lain. Relevansi konsep tabayyun TengkuMuhammad Hasbi ash-Shiddieqy pada masa kini, denganmeng-kontekstualisasikan sesuai dengan problematika pada masyarakat Indonesiamasa kini, yaitu propaganda media yang bersifat propokatif. Berita bohong (hoax) khususnya di Indonesia berjumlah relative banyak. Tabayyun hadir sebagai urgensi penting sebagai langkah menemukan kebenaran juga sebagai tindakan preventif untuk menguatkan Indonesia sehingga mampu menciptakan kedamaian dan kerukunan
Genotyping of HLA-class-I and II by PCR-SSP of Patients with Recurrent Aphthous Stomatitis
Authors: Al-Ghurabei Batool H. , Saliah Mustafa M. , Al-Hassan Ahmed A . , Al-Nema Ammra J. , Kadem Ahmed
Published: September 2023

Background: Recurrent aphthous stomatitis is a common condition characterised by recurrent episodes of oral ulceration. Genetic factors have been implicated by numerous studies on the association of recurrent aphthous stomatitis and the genetically determined HLA subtypes.Objectives: Current study was established to shed light on the possible association of HLA class I and II alleles with recurrent aphthous stomatitis in Iraqi patients.Subjects and Methods: The study included 55 subjects: 30 recurrent aphthous stomatitis patients and 25 apparently healthy subjects as control. Polymerase chain reaction-specific sequence primers (PCR- SSP) assay was conducted to assess HLA- typing.Results: The present study showed a significant association of HLA-Cw*12:02:01-and HLADQB1* 02:01:01- alleles with recurrent aphthous stomatitis as compared with healthy control (P=0.041and P=0.028 respectively). Another interesting finding in this study was the significant low frequency of HLA-DQB1*05:01:01- allele in patients when compared with healthy control (P=0.036).Conclusion: These findings demonstrated that HLA-Cw*12:02:01- and HLA-DQB1*02:01:01-alleles may play a role in the etiology of the disease. Whereas HLA-DQB1*05:01:01-05 may confer protective effects against recurrent aphthous stomatitis.
Glycated haemoglobin as a dual biomarker Association between HbA1c and dyslipidemia in type 2 diabetic patients
Authors: Hammed Ikhlas K. , Abed Baydaa A. , Rashid Nada F.
Published: September 2023

Background: Diabetic patients with accompanied dyslipidemia are soft targets for cardiovascular diseases. An early intervention to normalize circulating lipids has been shown to reducecardiovascular complications and mortality. Glycated hemoglobin (HbA1c) is a routinely used marker for long-term glycemic control.Objective: to investigate the role of HbA1c as a marker of circulating lipids in type 2 diabetic patientsSubjects and Methods: A total of 450 type 2 diabetic patients (214 males and 236 females), mean age was 55.5 ± 9.35. who attended the National Diabetic Center, Al-Mustansiria university during the period from December 2010 to May 2011 were included in this study Fasting venous blood samples were collected from all the subjects. .HbA1c was estimated by high performance liquid chromatography The Serum was used for analyzing Fasting Blood Glucose (FBG), Total cholesterol (TC),HDL-cholesterol(HDL-C), Triglycerides(TG). Dyslipidemia was defined as per the National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III guidelines. Diabetes was defined as per American diabetes association criteria. The statistical analysis was done by SPSS statistical package version 17.Results: Statistically significant positive correlation was observed between HbA1C and Total Cholesterol (P=0.000), LDL-C (P=0.000), LDL-C/HDL-C ratio (P=0.001), Non-HDL-C (P=0.000)and Risk ratio (P=0.000). The correlation of HbA1c with triglycerides (TG) was positive and statistically significant (P=0.033). Patients with HbA1c value > 7.0 had significantly higher value ofTC, TG, LDL-C, LDL-C/HDL-C ratio, non-HDL-C and risk ratio ( TC/HDL-C) as compared to the patients with HbA1c ≤ 7.0%. However, there was no significant difference in value of HDL-Cbetween the two groups.Conclusion: HbA1c can be used as a potential biomarker for predicting dyslipidemia in type 2 diabetic patients in addition to glycemic control hence early diagnosis can be accomplished through relatively inexpensive blood testing.
Bacterial Isolates in Blood Culture of Children with Septicemia.
Authors: Al-Rawazq Huda S. , Mohammed Ali K. , Al-Zubaidy Riyadh H.
Published: September 2023

Background: Septicemia is a common condition in children with a resultant high morbidity and mortality. It’s defined as the presence of bacteria in the blood and is often associated with severe infections, the alternative names (Blood poisoning, Bacteremia with sepsis, systemic inflammatory response syndrome).Objective: To study the etiological agents and antibiotics susceptibility of septicemia in children admitted to Central Teaching Hospitals of Pediatric.Patients and Methods: A total of 80 patients having signs and symptoms of Septicemia who were admitted to Central Teaching Hospital of Pediatric in Baghdad city. Samples were obtained during the period from the 1st January till the 30 th of February 2011. Bacteriological specimen (blood) collection, isolation and Identification of causative microorganism by colonial morphology, Gram stains, Biochemical tests and other tests used for further identification (Catalase, Coagulase, Oxidase test) and determining susceptibility of bacteria to antibiotics and chemotherapeutic agents.Results: The blood culture results showed that 20 (25.0 %) patients gave positive blood culture, 60 (75.0 %) patients gave negative blood culture. The microorganisms isolated from blood cultures of 20 patient gave positive blood culture with septicemia was Staphylococcus aureus 5 (25.0 %) Escherichia coli 5 (25.0 %), Klebsiella pneumonia 4 (20.0 %), Enterobacter spp 3 (15.0 %), Serreatia 2 (10.0 %), Pseudomonas spp 1 (5.0 %), and the frequency of septicemia in 20 case according to gender represented male 11 (55.0 %), female 9 (45.0 %).Conclusions: Positive blood cultures were obtained in 20 (25.0 %) of children. The commonest Gram positive bacterial isolate was Staphylococcus aureus and Gram negative bacterial isolate was Escherichia coli especially in males sex, in neonate age group who were delivered by cesarean section and preterm < 37 weeks gestational age. The antibiotics [Cefotaxime, Amoxicillin+ Clavulanic acid] are the most effective against Staphylococcus aureus and [Gentamycin, Amikacin, Imipenem] against Gram negative bacteria.
Sprawozdanie z Ogólnopolskiej Konferencji Naukowej Doktorantów Kodeks Prawa Kanonicznego w badaniach młodych naukowców. Lublin, 2 czerwca 2012 r.
Authors: Romanko Agnieszka
Published: September 2023

W statucie Katolickiego Uniwersytetu Lubelskiego Jana Pawła II czytamy: „Do podstawowych zadań Uniwersytetu należy kształcenie i promowanie pracowników nauki” (§ S ust. 4 pkt 2).
Prawo wiernych do szybko i sprawnie działających trybunałów kościelnych
Authors: Krzywda Józef
Published: September 2023

In the Code of Canon Law of 1983, the right of the faithful to fast and efficient ecclesiastical tribunals was not guaranteed. The Pope Benedict XVI pointed out such an authorization in his allocution to the members of the Supreme Tribunal of the Apostolic Signatura, on the 4th February 2011. The direct reason for making this law by the Roman Pontiff were constant cases tried by some ecclesiastical tribunals. This situation is against with the principle of legality and justice, which applies in the Church. Therefore, in the Church, there are: 1) the right of the faithful to the legal investigation and protection of their rights, 2) the obligation on fast and efficient operation of tribunals and 3) the obligations of jurisprudence for the strengthening of ecclesiastical communio.
Sprawozdanie z Walnego Zebrania Stowarzyszenia Kanonistów Polskich
Authors: Słowikowska Anna
Published: September 2023

Dnia 7 września 2010 r. w Wyższej Szkole Kultury Społecznej i Medialnej w Toruniu, łącznie z międzynarodową konferencją pt. Organizacja i funkcjonowanie administracji w Kościele, odbyło się Walne Zebranie Stowarzyszenia Kanonistów Polskich.
Unterricht zwischen Digitalisierung, Effizienz und kritischem Denken
Authors: Fröhlich Michael
Published: September 2023

Michael Fröhlich, Ausbilder für Lehrkräfte, diskutiert die Zukunft der Schule. Er entwickelt Praxismöglichkeiten für die zentralen Zukunftsaufgaben von Schulen: Von Digitalisierung über Bildung für nachhaltige Entwicklung bis zum Umgang mit Bildungsbenachteiligung. Schule muss sich von einer Orientierung an Effizienz, Selbstreflexion und Standardisierung verabschieden und Aufgaben wie Wertebildung sowie das Eintreten für Vielfalt und kritisches Denken endlich ernstnehmen.
Die deliberative Demokratietheorie von Jürgen Habermas: ist sie für die Fachdidaktik hilfreich?
Authors: Reinhardt Sibylle
Published: September 2023

Politische Bildung ist Bildung für die Demokratie und ist also einer wertvollen Idee des Zusammenlebens von Individuen verpflichtet. Sicherlich sind verschiedene Demokratie-Theorien geeignet, diesen Ausgangspunkt zu entfalten. Die Diskurs-Theorie von Jürgen Habermas wird hier als zentraler Bezug gewählt, weil sie eine Verbindung zwischen der alltäglichen Verständigung von Subjekten und dem Gesamtsystem gesellschaftlich-politischen Lebens herstellen kann.
Quality of life assessment of breast cancer survivors in Northern Morocco: Rural–urban disparity
Authors: El Battioui Fadoua , El Malki Fatima , Barrijal Said
Published: September 2023

This article is a cross-sectional study of 216 women undergoing adjuvant hormone therapy for breast cancer in two oncology centers in northern Morocco. Quality of life (QoL) was assessed using the Functional Assessment of Cancer Therapy (FACT) questionnaire and its endocrine subscale (ES). The relationship between rural–urban status in our sample and QoL was assessed by linear regression analysis using sociodemographic and clinical variables as covariates. Our results show that physical and functional well-being are significantly (p < 0.001) higher in rural areas (24 and 29, respectively) than in urban areas (16 and 19, respectively), while social and emotional well-being are significantly (p < 0.001) higher in urban areas (22 and 21, respectively) than in rural areas (15 and 16, respectively). However, there was no significant difference (p = 0.097) between rural and urban breast cancer survivors regarding endocrine symptom burden. Regarding the effect of sociodemographic and clinical factors on overall HRQOL of breast cancer survivors, hormone type was shown to have a significant effect on overall HRQOL (FACT-ES) of rural and urban breast cancer survivors (𝛽 = +0.849 and 𝛽 = +0.678, respectively). A similar effect was observed for ES (𝛽 = +0.896 and 𝛽 = +0.180, respectively). In contrast, other factors (age, marital status, economic status, menopausal status, type of surgery) did not have a significant effect on HRQOL (FACT-ES) or ES. The study highlighted the need for increased psychosocial supportive care efforts for rural breast cancer survivors to improve their QoL.
Factors influencing the shape, size, symmetry and scar of the nipple-areola complex after bilateral reduction mammoplasty
Authors: Diesch Sophia T. , Prantl Lukas , Anders Marvin , Eigenberger Andreas , Wiesmeier Anna , Brix Eva , Griesbeck Theresa , Brébant Vanessa
Published: September 2023

BACKGROUND: Asymmetry and scar formation of the nipple-areola complex (NAC) after reduction mammoplasty with periareolar suture are common complications and can significantly affect patient satisfaction. OBJECTIVE: The aim of this study was to investigate possible procedure-specific influencing factors on asymmetry and shape disturbances of the nipple-areola complex to optimize postoperative outcome and thus improve patient satisfaction. METHODS: 78 patients were followed-up after a 5-year period as part of a retrospective cohort study. Objective parameters as areolar diameter, symmetry, scar patterns, dimensions of the breast, and anthropometric measurements were recorded. All patients underwent surgery according to an established treatment algorithm depending on the preoperative measurements. Follow up was 1 week, 6 week, 6 months and 3 years postoperatively. RESULTS: The periareolar suture-technique significantly influenced the symmetry and shape of the NAC. Compared to the intraoperative determined diameter and the postoperative diameter, the net-suture technique showed the highest NAC symmetry and minimal divergence. Patients who underwent Hall-Findlay mammoplasty showed significantly higher rates of asymmetry and deformity of the NAC with teardrop formation in comparison to Lejour mammoplasty. Scar formation was affected by periareolar ruffle formation especially after purse string suture. CONCLUSIONS: Regardless of what reduction mammoplasty techniques and periareolar suturing-technique are used, a tension-free suture of the NAC is crucial for shape, symmetry and scar formation. The net suture technique resulted in significantly higher symmetry of the NAC.
Non-cascaded finite time control of PMSLM based on super-twisting observer
Authors: Pang Yuyi , Yu Haitao , Wang Yao , Che Zhiyuan , Ali Murad , Ye Zhicheng
Published: September 2023

A novel control strategy based on finite time control and super-twisting observer is proposed to improve the control performance and robustness for permanent magnet synchronous linear motor (PMSLM) drive system. First of all, the velocity-current single loop control which called non-cascade structure control is proposed by the finite time control, then the response velocity of the PMSLM drive system can be improved. Secondly, to improve the disturbance rejection performance, a super-twisting observer is designed to feedforward the load. Furthermore, the strictly convergence of the proposed control strategy is implemented. Finally, comparative simulations and experiments are designed on PI control, sliding mode control, and the proposed control method. Results demonstrate that the proposed method has better robustness and control performance.
Classification of human protein cell images using deep neural networks
Authors: Dong Yumin , Che Xuanxuan , Fu Yanying , Liu Hengrui , Sun Lina
Published: September 2023

Previously, single classification models were mainly studied to classify human protein cell images, i.e., to identify a certain protein based on a set of different cells. However, a classifier can identify only one protein, in fact, a single cell usually consists of multiple proteins, and the proteins are not completely independent of each other. In this paper, we build a human protein cell classification model by multi-label learning. The logical relationship and distribution characteristics among the labels are analyzed to determine the different proteins contained in a set of different cells (i.e., containing multiple elements in the output space). In this paper, using human protein image data, we conducted comparison experiments on pre-trained Xception and InceptionResnet V2 to optimize the two models in terms of data augmentation, channel settings, and model structure. The results show that the Optimized InceptionResnet V2 model achieves high performance in the classification task. The final accuracy of the Optimized InceptionResnet V2 model we obtained reached 96.1%, which is a 2.82% improvement relative to that before the optimized model.
Power aggregation operators based on hamacher t-norm and t-conorm for complex intuitionistic fuzzy information and their application in decision-making problems
Authors: Dong Hao , Ali Zeeshan , Mahmood Tahir , Liu Peide
Published: September 2023

Algebraic and Einstein are two different types of norms which are the special cases of the Hamacher norm. These norms are used for evaluating or constructing three different types of aggregation operators, such as averaging/geometric, Einstein averaging/geometric, and Hamacher averaging/geometric aggregation operators. Moreover, complex Atanassov intuitionistic fuzzy (CA-IF) information is a very famous and dominant technique or tool which is used for depicting unreliable and awkward information. In this manuscript, we present the Hamacher operational laws for CA-IF values. Furthermore, we derive the power aggregation operators (PAOs) for CA-IF values, called CA-IF power Hamacher averaging (CA-IFPHA), CA-IF power Hamacher ordered averaging (CA-IFPHOA), CA-IF power Hamacher geometric (CA-IFPHG), and CA-IF power Hamacher ordered geometric (CA-IFPHOG) operators. Some dominant and valuable properties are also stated. Moreover, the multi-attribute decision-making (MADM) methods are developed based on the invented operators for CA-IF information and the detailed decision steps are given. Many prevailing operators are selected as special cases of the invented theory. Finally, the derived technique will offer many choices to the expert to evaluate the best alternatives during comparative analysis.
Correlated feature-based diabetes and heart disease risk-level classification in IoT environment using PLD-SSL-RBM
Authors: Thumilvannan S. , Balamanigandan R.
Published: September 2023

The survival of patients’ deaths owing to Heart Disease (HD) could be improved with the assistance of an enhanced approach for predicting the risk of diabetes and HD. Nevertheless, such schemes are developed rarely. Thus, this paper proposes a new Power Lognormal Distribution-Semi-Supervised Learning-centric Restricted Boltzmann Machine (PLD-SSL-RBM) diabetes and HD risk level prediction model for IoT data. The missing data are removed by partial Derivation of the Hamilton-Cluster Centered-K-means Clustering (DH-CC-KC) to efficiently train the classifier and then, the data are aggregated. Next, to reduce the dataset size, the features are reduced with Shell Sort-Principal Component Analysis (SS-PCA). Then, the fuzzy rule-based decisions are created with the T-test-centric Uniform Distribution-Elephant Herd Optimization Algorithm (T-test-UDEHOA) Correlated Features (CF) to classify the risk levels accurately. Lastly, the risk levels of HD and diabetes are predicted; in addition, by employing the Elliptic Curve Cryptography (ECC)7encryption technique, the data is securely stored on the medical database. The proposed risk prediction model’s performance is analyzed on the Framingham dataset. As per the experimental outcomes, when analogized to the prevailing methodologies, the proposed technique attained a higher accuracy of 99.55%.
Deep optimization algorithm for emergency-aware data transmission in Mobile-Ad Hoc Networks
Authors: Baskar A. , Rajaram A.
Published: September 2023

Mobile Adhoc Network (MANET) is a dynamic network with mobility nodes. Emerging applications for MANETs in real-time present numerous research challenges. Specifically, the mobile nodes’ dynamic character hinders the routing efficacy in MANET. Previous algorithms for routing like DSDV DSR, AODV, and are inefficient due to an ineffective route discovery method. Route selection becomes more complex and energy-intensive for large-scale applications, such as air pollution monitoring. For air pollution monitoring applications, this research seeks to improve data delivery while reducing energy consumption. In this work, we proposed DeepOptimizer for achieving optimal data transmission. First, the network is segregated into multiple clusters using the Rough set theory. In the all clusters, Cluster Head is accountable for split a data into normal and emergency. This process is performed by grouping data by K++ means algorithm. For emergency data, Graph-based Route Selection (GRS) algorithm. This is the fast algorithm that selects the optimal route. On the other hand, the normal data transmission route is selected by the Deep-SpikeQNetwok-based Whale Optimization (WO) algorithm. Finally, the network is tested through simulations made in ns-3 based on network lifetime, throughput, energy level, delay and packet delivery ratio.
Providing an effective key management scheme to increase transaction security of homogeneous mobile wireless sensor networks
Authors: Tan Lirui , Zheng Qiuju , Chen Junji
Published: September 2023

Network security is one of the key concerns with wireless sensor networks. Because sensor nodes employ radio channel frequencies, which are riskier than traditional networks, the attacker may be able to force the node to compromise, disrupt data integrity, eavesdrop, or insert false data into the network, wasting network resources. Creating dependable sensor networks that offer the highest level of security while using the fewest resources is thus one of the problems. The designers of wireless sensor networks can take into account providing an efficient key management system that can enhance any efficiency features such as communication overhead, calculation rate, memory demand, and energy consumption rate. The energy level of nodes is determined in this article using a novel approach based on fuzzy systems and simple to implement in both hardware and software. In this study, the memory needed to carry out the plan was decreased, and the search performance was raised by integrating elliptic curve cryptography with an AVL search tree and a LEACH model. Also, the frequency range of radio channels in this study is 2.4 GHz. Based on the theoretical analysis as well as the outcomes of the experiments, the suggested key management strategy for wireless sensor networks improves security while also reducing computational overhead by 23%, energy consumption by 14%, and memory consumption parameters by 14%. 18% of people have used the network. Additionally, it was demonstrated that the suggested approach is scalable and extendable. Because of this, the suggested technique has a wide range of applications in massive wireless sensor networks.
A parsimonious ensemble with optimal deep learning and secondary decomposition for short-term wind speed forecasting
Authors: Xia Wenxin , Che Jinxing
Published: September 2023

Wind energy needs to be used efficiently, which depends heavily on the accuracy and reliability of wind speed forecasting. However, the volatility and nonlinearity of wind speed make this difficult. In volatility and nonlinearity reduction, we sequentially apply complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and variational mode decomposition (VMD) to secondarily decompose the wind speed data. This framework, however, requires effectively modeling multiple uncertainty components. Eliminating this limitation, we integrate crow search algorithm (CSA) with deep belief network (DBN) to generate a unified optimal deep learning system, which not only eliminates the influence of multiple uncertainties, but also only adopts DBN as a predictor to realize parsimonious ensemble. Two experiments demonstrate the superiority of this system.
SecK2 – A novel machine learning algorithm for detecting data poisoning attacks
Authors: Alsuwat Emad
Published: September 2023

Machine learning (ML) techniques play a crucial role in producing precise predictions without the use of explicit programming by utilizing representative and unbiased data. These methods, which are a subset of artificial intelligence (AI), are used in a variety of settings, including recommendation engines, spam filtering, malware detection, classification, and predictive maintenance. While ML algorithms improve results, they also present security and privacy threats, especially in the face of adversarial ML attacks such as data poisoning assaults that can undermine data modeling applications. This study introduces SecK2, a cutting-edge ML method developed to stop dangerous input from entering ML models. The scalability of SecK2 is proved through meticulous experimental research, revealing its astonishing capacity to identify data poisoning attacks at a previously unheard-of pace. As a result, SecK2 becomes a valuable tool for guaranteeing the reliability and security of ML models. Our suggested method produces outstanding results by a variety of criteria. Notably, it achieves a noteworthy 61% convergence rate and an exceptional 89% attack detection rate. Additionally, it offers a phenomenal 96% throughput while protecting data integrity at 53%. The technique also boasts impressive Validation accuracy of 96% and Training accuracy of 92%. The suggested technology offers a strong and reliable barrier against the rising danger of data poisoning attacks. ML practitioners can have more faith in their models, thanks to SecK2’s capabilities, protecting against potential adversarial assaults and preserving the dependability of ML-based applications.