bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and justification of new technologies purification of water environments from pollution by heavy metals
Authors: Glubokaya Aleksandra S. , Atamanova Olga V. , Tikhomirova Elena I. , Podoksenov Artem A. , Simonova Zoya A.
Published: January 2023

An actual trend in applied ecology is the development and implementation of innovative environmental protection technologies. Modern methods for extracting heavy metal ions from industrial wastewater are quite diverse. The purpose of the study was to develop and justify new technologies for purification of aqueous media, including adsorption purification, from heavy metal ions (by the example of Ni2+ and Cd2+ ions). Laboratory studies have established that the degree of adsorption extraction of Ni2+ ions by the sorption material from bentonite modified with carbon nanotubes and fired at a temperature of 550 °C increases by 13-14% due to its activation with 18% HCl solution and 38% CaCl2 solution, and the degree of adsorption extraction of Cd2+ ions with this activation of the sorbent, it increases by 16-17%. A technological scheme of a water purification station is proposed, which includes highly efficient adsorption filters with sorption material from bentonite of the specified modification and acid-salt activation.
EAEU and ASEAN: Reasons for differences in FDI inflows with similar integration models
Authors: Demina Yulia A.
Published: January 2023

In the modern world economy, we can observe, how some regional economic integration associations are becoming centers of attraction for foreign direct investment (FDI), while others are experiencing an acute shortage of them. This situation can be traced when comparing two integration groupings - the Association of Southeast Asian Nations (ASEAN) and the Eurasian Economic Union (EAEU). Information from various media and scientifi publications indicates that the EAEU, of which Russia is a member, today can hardly be called successful in attracting FDI. ASEAN, on the contrary, is the largest recipient of foreign capital among developing countries. In order to actually support this information and determine specifi quantitative discrepancies between the volume of FDI infl to the EAEU and the volume of FDI infl to ASEAN, relevant statistical data were analyzed. It has been proved that the infl of FDI to the EAEU, even during favorable periods of growth, was signifi lower than the infl of FDI to ASEAN. Such circumstances make you think about the reasons that cause them, and also raise additional questions. What are the competitive advantages in ASEAN for attracting FDI in comparison with the EAEU? What can the EAEU do to attract more FDI? To answer these questions, a comparative analysis of the EAEU and ASEAN was carried out, including two stages. The fi stage was to compare their main economic and geographical indicators, and the second stage was to compare them with the position of the motives of foreign investors. It is concluded that the main reasons for the diff in FDI infl to ASEAN and to EAEU are, fi , the stronger position of ASEAN in economic and geographical indicators, and, secondly, the availability of conditions in ASEAN to satisfy almost any of the motives of a foreign investor. The author gives brief recommendations to the supranational bodies of the EAEU on improving conditions for foreign investors.
Conceptual foundations of the economic security of a regional integration association
Authors: Pak Anna Yu. , Andronova Inna V.
Published: January 2023

The problem of ensuring the economic security of the state in modern geo-economic realities is becoming an increasingly important issue. The rupture of foreign trade relations, the search for reliable trading partners, as well as building new logistics routes create challenges for the economic security system not only of the Russian Federation, but of the entire Eurasian Economic Union. Despite the fact that the fundamental basis of regional integration may be political interests, it is the positive economic effects that are the key to the long-term successful development of economic integration that can withstand emerging threats. In this article, based on a systematic approach, the essence of the concept of “economic security of a regional integration association” is proposed. Based on the analysis of theoretical approaches to understanding economic security and international economic integration, the features of the economic security of international integration entities are highlighted. The conceptual apparatus is defined - an object, a subject, interests and threats, security measures and a system for assessing regional economic security. It was revealed that the area of economic interests of a regional integration association is less than the area of economic interests of the state, and the area of threats of a regional integration association, on the contrary, is greater than the area of threats of a member state included in the association. It has been determined that the economic security of a regional integration association is a dynamic characteristic of the state of the key elements of the economic systems of the member states of a regional integration association in terms of their ability to withstand emerging external and internal threats and fully perform their functions. At the same time, the basis for ensuring the economic security of an integration association is the formation of a system of convergence of industries of states with a similar level of socio-economic development based on the application of supranational regulation measures in conditions of inclusion in world economic relations.
Modern trade relations between the Republic of South Ossetia and Russian regions: Features, trends, barriers, risks
Authors: Doroshenko Svetlana V. , Dzhabiev Viacheslav V.
Published: January 2023

Touches upon the foreign economic interactions of the partially recognized states - the Republic of South Ossetia. The development of states that have arisen, as a rule, as a result of armed conflicts, and are designated in world practice through variousterms (unrecognized states, secessions, de facto states, etc.), has a constant scientific interest. In recent years, research has been updated in the search for factors and mechanisms of self-development of such states, which does not imply absolute economic and social isolation, therefore, one of the mechanisms is external relations and trade interactions. The purpose of this study is to substantiate the features, trends, barriers and risks of export-import relations of the republic with the regions of the Russian Federation. The study was conducted using methods of empirical analysis of statistical data, as well as normative and cartographic analysis and presentation of results. The main sources of analytical information were the site data ru-stat.com. The period of the analysis is January 2013 - January 2022. The analysis revealed the current features and trends of trade relations between Russia and South Ossetia, including the transition of the customs authorities of South Ossetia to the standards of the Eurasian Economic Union; an increase in import volumes and tax revenues from it. There are three types of barriers to increasing imports to Russia - transport and logistics, institutional, and structural. The emergence of certain risks of the foreign trade relations with Russia is not excluded, in particular, the occurrence of pandemics like COVID-19, exchange rate fluctuations of the Russian currency, sanctions pressure. In general, the republic has long-term trade relations with Russian regions, primarily in terms of imports. Nevertheless, the Government of the Republic faces the strategic task of strengthening and increasing trade interactions.
Socio-economic differentiation of border regions by the example of Russia and Finland: Factor analysis
Authors: Moroshkina Marina V.
Published: January 2023

Border regions in modern conditions have a special status which is determined by the geopolitical position. The Russian-Finnish borderland was characterized by a high level of activity, which provided the border regions with opportunities for economic growth. The development of the border regions of Russia and Finland diff signifi by socio-economic indicators. A comparative analysis will make it possible to assess the existing gap between the territories and identify possible areas for cooperation between the territories. The object of the study is the border regions of Russia and Finland. The aim of the study is to assess the economic development and diff processes of the border regions of Russia and Finland. The study collected a system of indicators to analyze the development of border regions, which made it possible to assess the level of socio-economic development of border regions of Russia and Finland. The analytical work used the data of Rosstat, Finstat, on the basis of which the database on socio-economic indicators of development of border regions was collected. The comparative assessment was carried out by applying the method of factor analysis (L. Thurstone’s centroid method). Analytical work was carried out with the help of the package of applied programs Statistica. Based on a certain set of indicators refl the socio-economic development of the border regions of Russia and Finland, the characteristics were built based on the values of the regions in the space of latent factors and their heterogeneity was assessed. The construction was formed on the basis of the use of factor analysis of integral characteristics that include the socio-economic indicators under study. The conducted study of the assessment of the development of border regions of Russia and Finland has identifi a high level of lagging behind the Russian border regions from the Finnish border regions according to the majority of indicators. An important result is also a signifi diff between Finnish border regions by the cumulative factor “provision of territory with resources”, Finnish border regions showed a signifi gap in relation to each other.
Economic efficiency of gas industry investment projects in Russia on the example of export gas pipelines
Authors: Chernyaev Maxim V. , Boiko Aleksandra A.
Published: January 2023

The efficiency of domestic and export supplies of natural gas largely determines the sustainable development of the Russian economy and national security. At present, in the context of sanction restrictions and increasing uncertainty in the global energy market, the theoretical and practical aspects of the economic efficiency of investment projects in the gas industry are of fundamental importance and require further development. The article discusses the theoretical foundations of the category “economic efficiency” and methodological approaches to its assessment on the example of investment projects in the gas industry. A comparative analysis of the standard methodology for determining economic efficiency of capital investments and the methodological recommendations for evaluating the effectiveness of investment projects in the planned and market economics has been performed based on the criteria specified by the authors. A review of published studies on methods for assessing economic efficiency of investment projects in the oil and gas sector has been performed. It is concluded that to assess the efficiency of investments is proposed to use the discounted cash flow method as the main approach, as well as the alternative methods in the papers of Russian authors. Two large-scale projects of the Russian gas industry have been considered, a review of published studies on the efficiency assessment has been performed with emphasis on the external effects due to implementation of the projects under consideration. According to the study results, the uniqueness of the implementation conditions of each gas transportation project, fundamental importance of the influence of non-economic factors on the project implementation and the need to develop assessment methods for the economic efficiency of investment projects were noted with due regard to the uncertainty and risk impact.
COVID-19: A Qualitative Analysis of Academic Family Physician Leaders’ Crisis Response
Authors: White David G. , O'Brien Mary Ann , Cornacchi Sylvie D. , Freeman Risa , Grunfeld Eva
Published: January 2023

Background and Objectives: The onset of the COVID-19 pandemic severely threatened all aspects of academic family medicine, constituting a crisis. Multiple publications have identified recommendations and documented the creative responses of primary care and academic organizations to address these challenges, but there is little research on how decisions came about. Our objective was to gain insight into the context, process, and nature of family medicine leaders’ discussions in pivoting to address a crisis.
Methods: We used a qualitative descriptive design to explore new dimensions of existing concepts. The setting was the academic family medicine department at the University of Toronto. To identify leadership themes, we used the constant comparative method to analyze transcripts of monthly meetings of the departmental executive: three meetings immediately before and three following the declaration of a state emergency in Ontario.
Results: Six themes were evident before and after the onset of the pandemic: building capacity in academic family medicine; developing leadership; advancing equity, diversity, and inclusion; learner safety and wellness; striving for excellence; and promoting a supportive and collegial environment. Five themes emerged as specific responses to the crisis: situational awareness; increased multidirectional communication; emotional awareness; innovation in education and patient care; and proactive planning for extended adaptation to the pandemic.
Conclusion: Existing cultural and organizational approaches formed the foundation for the crisis response, while crisis-specific themes reflected skills and attitudes that are essential in clinical family medicine, including adapting to community needs, communication, and emotional awareness.
Office-Based Minor Surgery: An Ever-Increasing Challenge Not Only for the Dutch General Practitioner
Authors: van den Dool Hans , Jochemsen-van der Leeuw Ria , van Dijk Nynke
Published: January 2023

Background and Objectives: Office-based minor surgery (OBMS) refers to all surgical procedures performed under local anesthetic in the office setting. It is cost effective for the health economy, safe, and appreciated by patients. It is not yet fully understood why some general practitioners (GPs) perform OBMS and others do not, while there is a growing demand for OBMS. Therefore, we explored factors that influence the performance of OBMS by GPs. The aim of this study is to explore the facilitators and barriers that influence GPs in deciding whether to perform OBMS.
Methods: We performed a qualitative study using focus groups consisting of GPs and GP trainers. Two researchers analyzed the data independently.
Results: The analysis resulted in a comprehensive list of facilitators and barriers. Besides already known factors such as financial consequences and geographic location, the most important factors influencing the decision to perform OBMS were training and the role of the GP trainer; fear of having to work alone and having to solve unexpected complications; and the influence of collaboration, organization, and facilities in the GP’s own practice.
Conclusions: The increasing demand for OBMS in primary care centers requires more attention to training aspects, the existing fear, adequate reimbursement for special accreditation, and collaboration and organization. We expect that addressing these factors will result in the strengthening of primary care, improving patient safety, lower referral rates, and a reduction in health care costs.
Multiplicative ABC, GA and AG Neighborhood Dakshayani Indices of Dendrimers
Authors: Kulli V.R.
Published: January 2023

Connectivity indices are applied to measure the chemical characteristics of chemical compounds in Chemical Sciences, Medical Sciences. In this study, we introduce the multiplicative ABC neighborhood Dakshayani index, multiplicative GA neighborhood Dakshayani index and multiplicative AG neighborhood Dakshayani index of a molecular graph. We compute these multiplicative connectivity neighborhood Dakshayani indices of POPAM dendrimers. Also we determine the multiplicative sum connectivity neighborhood Dakshayani index and multiplicative product connectivity neighborhood Dakshayani index of POPAM dendrimers.
Irreducible and Strongly Irreducible Bi-ideals of a NearAlgebra
Authors: B. Jyothi  , Swamy P. Narasimha
Published: January 2023

The aim of this paper is to study the notion of irreducible and strongly irreducible bi-ideal of a near-algebra and fuzzy concepts of a near-algebra. Also, some characterizations are presented.
Counting Distinct Fuzzy Subgroups of Symmetric Group S5 by a New Equivalence Relation
Authors: Ogiugo M.E. , M. EniOluwafe  , S.A.Adebisi
Published: January 2023

One of the significant aspects of fuzzy group theory is a classification of the fuzzy subgroups of finite groups under a suitable equivalence relation. In this paper, we determine the number of distinct fuzzy subgroups of finite symmetric group S5 by the new equivalence relation introduced by Tărnăuceanu. In this case, the corresponding equivalence classes of fuzzy subgroups of a group G are closely connected to the automorphism group and the chains of subgroups of G.
A New Ranking Method for Solving Hexadecagonal Fuzzy Assignment Problem
Authors: R.Saravanan  , M.Valliathal
Published: January 2023

Assignment problem is a special case of linear programming problem. The objective of the optimal assignment is to minimize the total cost or maximize the profit. Fuzzy set theory has been applied in many fields of Science, Engineering and Management. In this paper a new ranking method is proposed for solving the Hexadecagonal fuzzy assignment problem. Fuzzy assignment problem transformed into crisp assignment problem and solved by Hungarian method. Numerical example is presented and the optimal solution is derived by using proposed method.
Application of Non Polynomial Spline to Solve the Third Order Boundary Value Problems
Authors: R. Khlefha Ahmed
Published: January 2023

In this paper we used quartic non-polynomial splines to improve a new numerical method for computing approximations to the solution of third order boundary value problems, and shown the new method gives approximations, which are better than those produced by other collocation, finite-difference, and spline methods. Convergence analysis of the method is discussed through standard procedures. A numerical example is given here to illustrate the efficiency and applicability of the novel method.
The General Classification of the Modular Group of the Structure Mpn × Cp
Authors: Adebisi S. A. , M. Enioluwafe
Published: January 2023

In this paper, the classification of finite p-groups is extended to the group of the modular structure Mpn× Cp, and the number of distinct subgroups were computed, making an entire classification of the given structure possible for any given prime p
Mathematical Approach to Identify Coronavirus Disease (COVID-19) Using Fuzzy Logic Inference System
Authors: Hossain Md. Alamgir , Hossain Md. Sahadat
Published: January 2023

In this paper, we apply a fuzzy logic inference system based on Mamdani Fuzzy Inference System (MFIS) to determine the identification of the disease of COVID19. For this purpose, we use the regarding centroid method of defuzzification with the aid of three parameters that must be taken as a symptom of identifying the disease COVID19. By defining triangular fuzzy number with three inputs and one output, we have to calculate the consequence of COVID-19 in our expected fields. This have to be done by using the MATLAB toolbox of MFIS. It is noteworthy to observe that the obtained result might play important role in science, engineering and biomedical fields and also open a new horizon for the upcoming researchers to work smoothly in the related fields taking the other parameters as a symptom for identifying this disease using the MFIS.
Some Operations on Cubic Graphs
Authors: Irani Zahra Sadri , Rashmanlou Hossein , F. Mofidnakhaei
Published: January 2023

Cubic graph can deal with the uncertainly associated with the inconsistent and indeterminate information of any real-world problem, where fuzzy graphs may fail to reveal satisfactory results. Likewise, cubic graphs are very useful tools for the study of different domains of computer science such as networking, capturing the image, clustering, and also other issues like bioscience, medical science, and traffic plan. Operations are conveniently used in many combinatorial applications; therefore, in this paper, three new operations on cubic graphs, namely, maximal product, rejection, residue product were presented, and some results concerning their degrees were introduced. Different examples are provided to evaluate the validity of the new definitions.
On the Generalized Extended Wright Function
Authors: Abubakar Umar Muhammad , Dudi Naresh
Published: January 2023

The main object of this paper is to introduce a new generalized extended Wright function, for the new generalized extended Wright function properties such as integral representations, Euler’s beta, Mellin, inverse Mellin, Jacobi, Gegenbaur, and Legendre transforms are proposed and investigated. Moreover, some derivative formulas, classical and extended Riemann-Liouville fractional derivative and integral are also proposed.
A Study of an EOQ Model under Cloudy Fuzzy Environment
Authors: Mallik Ankana , Maity Suman
Published: January 2023

This article deals with an economic order quantity (EOQ) model under nonrandom uncertain demand. Firstly, we have solved the crisp model and then the model is converted into a fuzzy environment. For a comparative study, we have considered the demand rate as a cloudy fuzzy number. The numerical result is obtained by LINGO 16.0 software. Finally, sensitivity analysis and graphical illustration have been given for better justification of the model.
A General Mathematical Approach On the Selection of Auxiliary Linear Operator and Initial Guess for Homotopy Methods
Authors: Maiti Dilip Kumar , ROY TAPAS
Published: January 2023

In this study we propose a general mathematical algorithm for the
selection of aux- iliary linear operator () and initial guess 0(), which
are the principal parts of Homotopy methods: Homotopy Perturbation
Method (HPM) and Homotopy Anal- ysis Method (HAM). We assume the
coefficients of derivatives involved in () as a functions of auxiliary
roots of () = 0. Based on the residual error minimization we compute
unknown roots and thereby obtain the best fitted optimal linear
operator. Additionally, from the efficiency standpoint, we suggest
discretize the exact square residual using the Simson’s 31 algorithm. We
applied our algorithms to six nonlin- ear problems: (i) two nonlinear
initial value problem (IVP) (ii) two highly nonlinear BVPs with
quadratic and cubic nonlinearity, (iii) Bessel equation of zero-order
and (iv) A singular and highly nonlinear BVP (for fluid
electrohydrodynamics). We then compare our technique’s accuracy and
efficiency to other existing analytical and nu- merical methods. It
demonstrates that our best fitted optimal linear operator is much more
efficient, important (than the artificial controlling parameters or
functions of optimal HAM) and self-sufficient for the convergence of
series solutions over the whole domain, specially for IVP. Also, an
effort is made to search the best () for different choices of real roots
and by means of fastest converges of the solution. Our approach is more
effective, straightforward and easy to use when applied to many
nonlinear problems arises in science and engineering, and using our
propose ap- proach homotopy methods (HAM and HPM) will be more powerful.
Telomerase as a possible key to bypass reproductive cost
Authors: Frydrychova Radmila Capkova
Published: January 2023

Telomerase activity and telomere maintenance in certain somatic cells of
human adults support the proliferative capacity of these cells and thus
contribute to their regenerative potential, and telomerase activity and
telomere length are commonly considered lifespan predictors. Eusocial
insects provide excellent models for aging research based on their
extraordinary caste-related lifespan differences that contradict the
typical mammalian fecundity/lifespan trade-off. Telomerase activity is
upregulated in the reproductive, long-lived individuals of eusocial
insects such as queens and kings, and telomerase activity may act as a
key factor in their extended longevity. But, as documented by the
presence of telomerase in somatic tissues of numerous invertebrate and
vertebrate species, the connection between telomerase activity and the
predicted lifespan is not clear. Here, I ask whether somatic telomerase
activity in eusocial reproductives may serve its non-canonical function
to protect its individuals against the metabolic stress due to
reproduction and reflect a more common phenomenon among species. Here, I
propose a hypothesis that the presence of telomerase activity in somatic
cells reflects a different reproduction strategy of species.
Etiology of acute respiratory tract infection among children under five years of age in Kunming City, China: A matched case-case-control study
Authors: Li Ming , Li Cuilian , Jian Xiaoli , Han Dingrui , Chen Junling , Zhao Jinglin , Jiang Hongchao , Jiang Li
Published: January 2023

Background Nucleic acid-based molecular techniques in current laboratory
practice allow the identification of a broad range of respiratory
microorganisms. However, due to asymptomatic carriage, the detection of
microorganisms in the respiratory tract does not necessarily indicate
disease. The study aimed to investigate the prevalence of the different
viruses that colonize the airways and their association with the
occurrence of either upper respiratory tract infection (AURTI) or lower
respiratory tract infection (ALRTI) in children. Methods A matched
case-case-control study included ALRTI cases, AURTI cases, and healthy
controls and was conducted at Kunming Children’s Hospital. Endotracheal
aspirate and oropharyngeal swabs were collected for eight viral
pathogens and analyzed by probe-based multiplex RT-PCR. The association
of each pathogen with disease status was determined by comparing the
results between each participant group. Results From March 1, 2021
through February 28, 2022, 278 participants in each group were
investigated. Viral infection was detected in 53.96%, 37.05%, and
12.23% of the ALRTI cases, AURTI cases, and healthy controls,
respectively. Human respiratory syncytial virus (RSV), adenovirus (ADV),
and parainfluenza virus-3 (PIV-3) were the most frequently documented
viruses. RSV/ADV was the most frequent combination detected in
coinfection. RSV was independently associated with both ALRTI and AURTI.
Additionally, PIV-3 was only relevant to ALRTI. Conclusions RSV and
PIV-3 were causes of either ALRTI or AURTI in pediatric patients in
Kunming. These results provide initial evidence of the potential of
microbiota-based diagnostics for the differential diagnosis of severe
acute respiratory infections using primary site samples.
The era of “multi-demic” and potable use of Roof harvested rainwater (RHRW), is it safe?: a letter to the editor from Pakistan
Authors: Siddiqui Amna , Choudhary Anood , Ayaz Aliza
Published: January 2023

Pakistan is one of the 36 water-stressed countries, with less than 1000
cubic per person annual water availability. Factors like global warming,
urbanization, and irrigation for agribusiness have come into play in
skyrocketing the need for water globally. As a low-middle income
country, inhabitants of Pakistan are actively moving toward resolving
the water crisis through rainwater harvesting during the monsoon period.
Though the practice is simple, feasible, and cost-effective, there are
certain health risks associated with it. Due to its virological and
microbial quality, rainwater is highly contraindicated for potable use
without proper treatment. Pathogens like Campylobacter jejuni,
Salmonella spp., Giardia lamblia, hepatitis A virus, rotaviruses, etc,
and fecal matter of animals like birds, mammals, and reptiles,
contaminate the roof harvested rainwater (RHRW) and result in diseases
such as Human enteritis, Acute diarrheal disease, Giardiasis, among many
others. Apart from this, the sporadic multi-demics of dengue, malaria,
and cholera being directly or indirectly related to the monsoon period
impose a burden on Pakistan’s public health sector and improper Rooftop
Rainwater Harvesting (RTRWH) adds to the stress. It is now imperative
that doctors and public health officials join hands to counsel the
public on individual and national levels to contain the recurring
outbreaks of these diseases associated with the monsoon period.
Procedures of RHRW treatment such as ultra-membrane filtration, UV
treatment, safe roofing material, and first-flush diversion devices
should be strategically promoted through awareness campaigns. Our
article discusses the limitations for potable use of RHRW in this era of
multi-demic and suggests strategies to retrieve favorable outcomes to
cater to the water scarcity through RTRWH in the state effectively.
Characterization of Probabilistic Structure of Network Traffic During COVID-19: A Study Based on MAWI Data
Authors: Karmeshu * , Mittal Anoushka , Jain Pranav , Sharma Shachi
Published: January 2023

The COVID-19 pandemic has greatly affected all aspects of human life
including working of offices, businesses, industries, educational
institutions etc. With more work load shifting online, changes in the
network traffic are inevitable. The earlier investigations have
generally focused on the qualitative aspects of network traffic data
during COVID-19. In contrast, the paper presents a study based on MAWI
data characterizing network traffic in terms of multimodal and unimodal
probability distributions. It is found that a transition of multimodal
Gaussian mixture model of byte and packet counts during normal period to
that of unimodal Laplace distribution during COVID-19 period has
emerged. Further it is observed that the probability distribution
depicts the preponderance of small and large packets during normal
period which changes to that of small sized packets during Covid-19
period. These findings are likely to be useful to the administrators to
manage network during crisis periods.
Characterization of the P450 Monooxygenase LobP1 as C-32 Hydroxylase in Lobophorin Biosynthesis
Authors: Tan Bin , Zhang Qingbo , Xiao Ji , Yuan Cheng-shan , Chen Yuchan , Chen Siqiang , Zhang Weimin , Zhu Yiguang , Zhang Changsheng
Published: January 2023

Lobophorins (LOBs) belong to a large family of spirotetronate
antibiotics with antibacterial and antitumor activities. In this study,
we demonstrated the function of LobP1, a P450 monooxygenase encoded in
the LOB biosynthetic gene cluster, by in vivo deletion and in vitro
biochemical assays. The disruption of lobP1 led to the isolation of
three new LOBs derivatives (3‒5) and three known ones (6‒8) without the
hydroxyl group at C-32. LobP1 was shown to have relatively broad
substrate scope. Determing the kinetic parameters of LobP1 towards
different substrates revealed that LobP1 preferred substrate with a
nitrosugar. The major product LOB E (6) from the ∆lobP1 mutant displayed
better cytotoxic activities against several cancer cell lines than LOB
B, the C-32 hydroxlated counterpart.
Predictive Distribution Modelling of Critical Habitat Availability and Prioritization for the Vultures in the Greater Panna Landscape, India
Authors: Biswas Dibyendu , Krishnamurthy Ramesh
Published: January 2023

Vultures are a specialized species group, utilizing wide habitat and
forage niches and their long-term survival depends on the protection of
their critical habitats. Taking a landscape approach, we modelled the
distribution of nest sites (n = 30) and roost sites (n = 31) of
cliff-nesting vultures (four species) in the Greater Panna Landscape
(GPL), central India. We performed Random Forest (RF), Generalized
Linear Model (GLM) and Boosted Regression Tree (BRT) algorithms. The AUC
values for the predictive distribution of nests were 0.97, 0.90, 0.97
for RF, GLM and BRT, respectively, while for roost distribution it was
found to be 0.76, 0.63, 0.74 for RF, GLM and BRT, respectively. We
ensembled the predictions of all three methods for better accuracy and
combined the model outputs. We then performed zonation analysis on the
final map and used Human footprint as a proxy for conservation cost to
define spatial prioritization for conservation inputs. The results
reveal that the GPL has a total of 9,402 sq. km. area within the top 20
ranks in terms of conservation prioritization for nesting and roosting.
Given the cost value, the top 20 ranked units will account for
approximately 60% of the critical habitats and these may be the focus
of long-term conservation inputs to sustain the vulture populations in
the landscape. The spatially explicit outputs based on the robust
methodology involving intensive fieldwork and ensembled modelling offer
a basis for local scale and landscape scale actions, which can be
replicated in other parts of the vulture distribution ranges.
Robust Feature Selection by filled function and fisher score
Authors: hamidzadeh javad , kelidari Mahsa
Published: January 2023

Feature selection is essential in high-dimensional data analysis and
filter algorithms, and due to their simplicity and fast speed, they have
increasingly been drawing attention in recent years. Retaining all
features in machine learning tasks is not only inefficient but the
irrelevant and redundant features may have an adverse impact on the
classification accuracy rate. Feature selection is an optimization
problem which aims to transform the dataset’s high-dimensional space to
a lower-dimensional space by utilizing the relevant and suited features.
Feature selection is a time-consuming task, while it is very effective
in saving the time devoted to the learning algorithm. In feature
selection algorithms, filter algorithms are increasingly attractive due
to their simplicity and fast speed. In this paper, we are going to
introduce a supervised filter feature selection using filled function
and fisher score (FFFS). Based on this criterion, we try to find a
feature subset resulting in the least classification error rate. In
order to prove the effectiveness of the proposed algorithm, Extensive
experiments have been conducted on 20 high-dimensional real-world
datasets. Experimental results reveal the superiority of the proposed
algorithm to state-of-the-art algorithms in terms of minimum
classification error rate. Results validated through statistical
analysis indicated that the proposed algorithm is able to outperform the
reference algorithms by minimizing the redundancy of the selected
features. So, the selected feature subset can avoid serious negative
impacts on the classification process in real-world datasets. In
addition, this paper proves the ability of the proposed algorithm in
selecting the most relevant features for classification tasks by
applying different noise rates to the datasets. According to the
experiments, the FFFS is less affected by noisy attributes in comparison
with other algorithms. Thus, it is a reasonable solution in handling
noise and avoiding serious negative impacts on the classification error
rate in real-world datasets.
Transdisciplinarity and public policy
Authors: McGregor Sue L. T.
Published: January 2023

Public policy is intended to protect the public interest, which is threatened by complex problems such as climate change, global pandemics, unsustainability, violence, and inequality. Policymakers are challenged when dealing with these issues because an array of stakeholders has different perspectives, interests, positions, value sets, resource complements, and so on. Finding common ground to move forward is a complex imperative. To that end, for the first time, this article spells out the Nicolescuian, Zurich, and Brazilian approaches to transdisciplinarity as they pertain to public policy. They each offer a different but viable way for public administrators to find practical, contextual solutions for compelling issues affecting the public interest.
The effect of genotype, farm and sex on the production traits of fattening pigs of pedigree breed genotypes
Authors: Gogic Marija , Katanic Nenad , Savic Radomir , Mandic Violeta , Petricevic Maja , Zivkovic Vladimir , Stojiljkovic Nenad
Published: January 2023

The study of the production traits of 22 genotypes of fattening pigs was
carried out on two pig farms (Farm A and Farm B) in Central Serbia, under
the influence of the following factors: farm, genotype and sex of fattening
pigs, and pre-slaughter weight. The characteristics of fattening animals
included in the research are: warm carcass side growth (WCSG); bacon
thickness - rump (FTR); bacon thickness - back (FTB); bacon thickness - rump
+ back (FTRB); meat yield - carcass sides (JUSKG) and meat yield in
percentage (JUSPRO), as well as weight and ratio of French dressing in warm
carcass sides (FDKG and FDPRO). Animals of both sexes were used in the trial
(female non-castrated rats and surgically castrated males). Total of 1166
fattening animals were included in the trials. Statistical data processing
was performed using the Harvey software package. All included factors in the
used models show a highly statistically significant effect on the variation
of fattening traits (P<0.01; P<0.001). Animals of genotype DxSL (44.97%) had
the highest share of meat in carcass sides, and animals of genotype SL
(44.63%) for the trait JUSPRO, while for the trait FDPRO the highest value
was recorded for the genotype DXSL (54.45%). In our study, animals of the
genotypes (HxD)x(WxD) and Dx(WxD) had the highest values for bacon thickness
- 39.95 and 38.32 mm, respectively, which implies lower share of meat in the
carcasses. By calculating the genetic and phenotypic correlations, we came
to the conclusion that the phenotypic correlation of the carcass side traits
was of different strength (from very weak to complete) and different sign,
while the genetic correlations were stronger than the phenotypic, so the
genetic correlations between the bacon thicknesses FTB and FTR were
complete, and between meat yield and traits FTB and FTR complete and
negative.
The Rights of Indigenous Peoples of Russia after Partial Military Mobilization
Authors: Zmyvalova Ekaterina
Published: January 2023

The present article is a response to the call for papers focusing on the war in Ukraine and its effect on different aspects of life in the Arctic. This article sheds some light on the consequences of Russia’s partial military mobilization on the rights of Indigenous peoples. The partial military mobilization was announced by the President of the Russian Federation on September 21, 2022.
Diversidade Cultural no Currículo da Rede Municipal de Ensino de Guanambi/BA
Authors: Figueredo Marinete da Frota , Santana Macêdo Dinalva de Jesus
Published: January 2023

Este artigo é resultado de uma pesquisa que objetivou analisar como a diversidade cultural é contemplada no currículo da Rede Municipal de Ensino de Guanambi/BA. Trata-se de um estudo qualitativo, o qual teve como fonte de dados a Proposta Curricular da rede e entrevistas semiestruturadas realizadas com cinco professoras. Os dados foram produzidos por meio da técnica de análise de conteúdo na modalidade temática, cujos procedimentos demonstraram que a concepção da diversidade cultural no currículo analisado ainda é vinculada a uma visão liberal, havendo uma prevalência de mecanismos padronizadores no ensino, condição a qual revela que o currículo ainda é articulado segundo a universalização do conhecimento, evidenciando a emergência de uma educação intercultural crítica.
Saberes e Práticas Docentes
Authors: Andrade Lilian Santos de , Cerezer Osvaldo Mariotto
Published: January 2023

O presente artigo analisa a implementação da Lei Federal 10.639/2003 na educação básica em Poconé/MT, a partir dos saberes e práticas de professores de História, Arte e Língua Portuguesa. Realizamos entrevistas orais baseadas nos procedimentos da história oral temática e buscamos construir um diálogo entre os registros orais e as fontes documentais, como documentos curriculares e bibliografias sobre o tema. Utilizamos a abordagem qualitativa somada à perspectiva teórica intercultural crítica e os estudos decoloniais. Procuramos pensar como a história e a cultura africana e afro-brasileira foram inseridas na escola lócus de pesquisa. Notamos as práticas e imaginários racistas que estiveram e ainda estão presentes na escola e os desafios enfrentados pelos professores. O caminho para uma implementação efetiva ainda é longo, mas transformações importantes têm ocorrido, inclusive para a decolonização dos saberes e práticas.
Lei 10.639/2003 e os Currículos dos cursos de Pedagogia na Região Sul do Brasil
Authors: Lage Lucas da Costa , Alves Simone Silva
Published: January 2023

Este estudo tem como objetivo compreender como os currículos dos cursos de licenciatura em Pedagogia das universidades federais da Região Sul do Brasil trabalham a Lei 10.639/2003. A pesquisa fundamenta-se na perspectiva crítica, qualitativa e na metodologia de análise de conteúdo de Bardin (1977). Embasa-se em autores como Almeida (2018), Apple (2005), Adichie (2019), Alves et al. (2021), Freire (1979), Munanga (2008), Torres Santomé (2013), Gomes e Silva (2011), Triviños (2001), entre outros. Resultados indicam que os fundamentos da Lei 10.639/2003 são tratados de forma transversal, diluídos em alguns componentes curriculares. Assim, compreendemos que é urgente a necessidade de amplo debate nas instituições, de modo a desempenhar um papel importante na construção e na efetividade de políticas educacionais, possibilitando maior visibilidade das questões étnico-raciais nos cursos de formação inicial e continuada.
Pesquisa e produção do conhecimento em aulas de Didática no Ensino Superior
Authors: Menezes Eunice Andrade de Oliveira , Rodrigues Cícera Sineide Dantas , Falcão Giovana Maria Belém
Published: January 2023

Aborda uma prática pedagógica desenvolvida em duas universidades públicas cearenses. Surge da problemática de como a Didática pode se inscrever, enquanto campo articulado dialeticamente, no ensino e em seus múltiplos contextos. Teve como objetivo analisar perspectivas discentes sobre uma pesquisa de campo fomentada na disciplina Didática. De Comenius (1997) a Candau (2012), dentre outros, discute, teórico-metodologicamente, a multidimensionalidade da Didática e seu lugar na prática docente. Ancora-se na abordagem qualitativa, tendo o questionário semiestruturado, aplicado a 20 estudantes de licenciatura, como instrumento de coleta de dados. Estes foram interpretados a partir da análise temática, revelando ‘núcleos de sentidos’, pelos discentes, sobre a prática acenada. A articulação ensino - pesquisa e o contato com a realidade escolar foram vistos pelos discentes como importantes subsídios em sua formação.
Algoritmos e Fake News
Authors: Silva Roberto Cardoso Freire da , Carvalho Jaciara de Sá
Published: January 2023

Tecnologias digitais conformam sociedades e contribuem com a constituição de compreensões de realidades e relações pelos sujeitos. De forma quase invisível, promovem valores e visões de mundo daqueles que as projetam, desde proprietários de grandes corporações a profissionais iniciantes de TI. A partir deste contexto, este trabalho apresenta uma pesquisa com graduandos de TI, tendo como recorte o fenômeno Fake News e a ampliação do uso de algoritmos computacionais em diversas atividades humanas. O referencial adotado reúne autores da área de tecnologia e de uma perspectiva problematizadora de educação. Os achados de pesquisa sugerem que a formação específica desses futuros profissionais não implica, necessariamente, uma visão complexa das consequências das tecnologias para as sociedades, aproximando-as do senso comum.
Edição 20 (4) outubro/dezembro 2022
Authors: Uchôa Márcia Maria Rodrigues
Published: January 2023

A Revista e-Curriculum agradece aos Pareceristas Ad Hoc, Editores, Comissão Editorial e Equipe de suporte pela dedicação e valiosa contribuição na Edição 20 (4) outubro/dezembro 2022.
Linguistic Diversity in Schools. Some Data on Plurilingual Classes in Udine
Authors: Fusco Fabiana
Published: January 2023

This article presents and discusses the main results of a comprehensive survey that was carried out from 2017 onwards with the aim of studying plurilingualism in the repertories and uses of immigrant children in schools at all educational stages in the city of Udine. The subjects surveyed included pupils between ages 9 and 18 with at least one foreign (language-speaking) parent. Each pupil compiled a questionnaire aimed at collecting social and personal data as well as data about their linguistic repertories, uses and behaviours and those of their parents, relatives, friends and other interlocutors, both in Italy and (for those born abroad) in their country of origin. By analysing their answers, it was possible to attest the (at least) bilingual dimension of these subjects’ daily lives, especially within the family context, with friends and, above all, at school. The results show that these subjects have multiple and more or less ample competences at their disposal, as well as a marked sensitivity toward plurilingualism.
20 Jahre Forschungsschwerpunkt „Mehrsprachigkeit in Kärnten (und darüber hinaus)“
Authors: Doleschal Ursula
Published: January 2023

The use of Slovene in Carinthia has not yet been duly described in the linguistic literature. In this article the attempt is made to partly fill this gap by presenting results from research projects that have focussed on different aspects of this language use. Both examples of spoken language and of attitudes toward the use of Slovene are presented. The article also aims at an overview of research on multilingualism conducted at the Slavic department of the University of Klagenfurt.
Effect of Cannabis Seeds on Some Biomedical Parameters in Male Rats
Authors: Hassan Karwan Anwar , Hamabor Salah Omer , Wassman Hunar Mustafa
Published: January 2023

Cannabis, sometimes known as hemp, is a plant that originated in Central Asia. Cannabis seeds nutritional profile is astounding. Cannabis seed, most digestible, balanced, natural, and complete supply of protein, amino acids, and necessary fats found anyplace in nature when it is in its pristine organic natural condition. Cannabis seeds can be used in a variety of medical fields. Each 100 gm of the seeds used in the study contains 26, 37 and 20 gm of protein, fat and carbohydrate respectively. The present study used two groups of male rats (control and treatment groups). Rats were 11 weeks of average age. 10 mg/kg of body weight of powdered cannabis seeds were administrated orally to treatment group daily for 15 days. Alkaline Phosphatase, glutamic oxaloacetic transaminase and glutamic pyruvic transaminase (ALP, GPT, and GOT), creatinine and uric acid was done for estimating the effect of cannabis seeds on renal and liver function. Enzymes Alkaline phosphatase, glutamic oxaloacetic transaminase and glutamic pyruvic transaminase (ALP, GPT, and GOT) as well as creatinine, uric acid and very low-density lipoprotein (VLDL) were not significantly (p<0.05) different in both groups. Level of Cholesterol, triglyceride and c-reactive protein were significantly (p<0.05) reduced. Serum total protein, albumin and globulin were significantly (p<0.05) elevated in treatment group comparing to control group. The aim of this study is to examine physiological impact of cannabis whole seeds. Identifying the relationship(s) between liver and renal functions and cannabis seeds, as well as the anti-inflammatory effect of cannabis seeds and possible of using cannabis seeds as herbal medicine for health care in male rats.