bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Taxation on Dairy Processing Cooperatives in Morocco: A Qualitative Research
Authors: Ahrouch Saïd , Rhaddioui Khadija 
Published: October 2022

Being at the heart of the social and solidarity economy, cooperatives contribute greatly to the socio-economic development of countries. Moreover, this entity is not opposed to the realization of a lucrative activity, as the profits made are mainly devoted to their social finality. In addition, in order to fully ensure its socioeconomic function, the cooperative requires an institutional, legal and fiscal framework that guides and supports its activity, and also ensures its protection against commercial companies. However, following the growth of their activity, certain governments introduced a set of reframing the tax legislation, under the argument to establish tax fairness and to restore fair competition between cooperatives and lucrative businesses. Therefore, this submission to taxation has aroused reticence on the part of the cooperatives proclaiming that the public authorities have not taken into account their social contribution. Hence, these tax measures raise the question of their legitimacy and their effect on the growth of the cooperative’s activity, especially at the commercial, financial, and social levels. Thereby, to provide an answer to this problem, qualitative research was conducted to approach the effect of taxation on the growth of dairy processing cooperatives in Morocco.
Selective Cytotoxicity of Novel Copper (II) Complex on Colon Cancer Cell Lines
Authors: Gerçek Zuhal , Yıldız Ufuk , Akar Remzi Okan , Ulukay Engin 
Published: October 2022

The synthesis of a novel copper (II) complex, namely, [Cu(phen)(NO2-impi)]2+ (where phen is 1,10-phenanthroline; NO2-impi is 2-(2-(4-nitrophenyl)-5-(pyridin-2-yl)-1H-imidazol-4-yl) pyridine, ZU-3, was performed. UV titration and viscosity measurements were used to determine its interaction with ds-DNA. The binding constant of complex to ds-DNA was 1.3x105 M-1. The Stern-Volmer extinction constant (KSV) for ZU-3 was calculated as 1.2 x 105 M-1. The complex was screened against five human cell lines, namely A 549, PC-3, BEAS-2B, HCT-116 and MDZMB-231, and it was found that ZU-3 shows selective cytotoxicity on colon cancer cells. It has been found that ZU-3 reduced HCT-116 cell density and caused pyknotic morphology that are associated with cell death by apoptosis.
The One Pot Synthesis and Antioxidant Activity Determination of Novel Molecules
Authors: Gerçek Zuhal , Erçağ Erol , Yılmaz Handenur 
Published: October 2022

Alzheimer's disease affects many people today. For this reason, the economic and social burdens of the disease on society are also increasing. Although the cause of the disease has not been fully clarified yet, many factors are suggested in this regard. One of the most striking among these is brain deformations as a result of oxidative stress. In this study, three new molecules, (E/Z) - (4-fluorophenylthio) -N-(4-methoxybenzylidene) (4-methoxyphenyl) methenamine (NS-1), (E/Z) - (4-fluorophenylthio) -N-(4-hydroxybenzylidene) (4-hydroxyphenyl) methenamine (NS-2), and (E/Z) - (4-fluorophenylthio) -N-(2-pyyrolidene) (2-pyrrole) methenamine (NS-3) were synthesized and their antioxidant properties were evaluated using CUPRAC method and Trolox equivalent antioxidant capacity coefficients were determined. The antioxidant capacity of NS-3, was found to be considerably higher than torolox, 1.5. The Cyclic voltammetry (CV) of compounds was achieved within the potential range -1.4V to 0.95 V with a 50 mVs-1 scan rate. 82.15 μA at 456 mV and -929 mV for 10-4 M NS-3 reduction peaks with current values of -104.9 μA were found. The molecule NS-3 can be a potential candidate for antioxidants that could be used to slow the progression of Alzheimer’s disease.
How Have Recent Pandemics Affected Oral Health: A Systematic Review using Narrative Synthesis of the Literature from 2011-2021
Authors: England Rachael , Muhamedagic Belma , Bissett Susan M. , Nnyanzi Lawrence , Zohoori Fatemeh 
Published: October 2022

Introduction: Pandemics have affected and will continue to affect humankind. Historically the Human Immunodeficiency Virus changed the way dental clinics operate and the COVID-19 pandemic led to an unprecedented closure of dental clinics leading to short- and long-term impact on oral health.

Aim: To assess the impact on oral health and related behaviours related to modern pandemics.

Method: A literature search across eighteen electronic databases was conducted. Three reviewers screened 2029 articles against inclusion criteria and assessed quality. Included articles underwent thematic analysis, followed by narrative synthesis to describe the results.

Results: Forty-eight articles were included that identified themes: (i) oral health related quality of life, (ii) stress and pandemics, (iii) oral health behaviours, (iv) social capital, (v) access to oral healthcare, (vi) fear as a barrier to accessing oral healthcare and (vii) teledentistry.

Conclusion: Pandemics present multiple challenges to both individuals and oral health professionals that impact on oral health and these challenges disproportionately affect the most vulnerable communities. However, with the right support, these impacts can be mitigated through social capital and support to establish healthy routines. The use of digital technologies should be promoted to reach all communities before the next pandemic arrives.
The Effect of Urban Expansion on Peripheral Agricultural Lands in Makurdi City
Authors: Iortyom Enoch Terlumun , Semaka John Terwase , Kargbo Patrick 
Published: October 2022

This study investigated the effects of urban sprawl on peripheral agricultural lands in Makurdi City over the period 1999-2012. The study conducted a land use and vegetation cover change (LULCC) analysis using remote sensing (RS) and geographic information system (GIS) data to analyze two epochs of Land Sat imagery, 1999 and 2012, acquired to achieve the objective. It was found that between 1999 and 2012, urban sprawl had a negative impact on peripheral agricultural land in Makurdi town, as it significantly reduced peripheral agricultural land. The study also revealed that despite the adverse impact of urban sprawl on peripheral agricultural lands in Makurdi town, its socio-economic impact has led to the establishment of infrastructural facilities such as roads, electricity, markets, and parks. Therefore, the study recommended that the agricultural landscape plan be incorporated by the government into urban land use planning systems so that urbanization does not interfere with agricultural activities and thus maximize their collective benefits.
Land Suitability for None-Rice Cultivation Areas in Ekiti State Using a GIS-Based Analytic Hierarchy Process Approach
Authors: Lamidi Adeyinka Jimoh , Ijaware Victor Ayodele 
Published: October 2022

This research aimed at carrying out a land suitability analysis for non-rice cultivation areas in part of Ekiti state using a Geographic Information System based Analytic Hierarchy Process (AHP) approach with a view to ascertaining whether rice can grow in commercial quantities in other Local Government Areas that will lead to improving rice production in the State. To achieve the aim of the research, specific objectives were set, which were to (i) determine the land use/land cover within the study area, (ii) assess the climatic, soil, and topographic factors that pertain to rice cultivation, and (iii) carry out a land suitability analysis on rice cultivation. In this study, the Analytical Hierarchy Process method was used to combine land use/land cover, rainfall, temperature, slope, soil texture, and pH to produce a land suitability map for rice cultivation in non-rice growing areas of the study area. The research result shows that the spatial expanse of land unsuitable for rice cultivation in the non-rice cultivation area of Ekiti state was 1121.6 km2 which translated to 44% of the entire study area. Similarly, areas moderately suitable and suitable for the cultivation of rice were 529.1 km2 (21%) and 899 km2 (35%) of the study area respectively. Furthermore, the outcome of AHP validation showed that the consistency ratio was 0.07, which was less than the specified standard maximum value of 0.1, which signifies that there was a realistic degree of uniformity in the pairwise comparison. Based on the obtained results, it was discovered that: the built-up area in the study was only 5.2%, which signified that the remaining 94.8% of the study area was undeveloped and can serve agricultural purposes in the state. The land suitability map for non-rice cultivation produced for this study was detected to be a true representation of areas suitable for rice cultivation subject to overlay analysis and AHP validation. It was therefore recommended that this study can be used as vital background information for the improvement of rice production in Ekiti State Nigeria.
Assessment of Atmospheric Pollutants Concentrations by Using Multivariate Statistical Analysis: A Case Study of Commune 5 of Niamey City, Niger
Authors: Daou Ibrahim E. , Harouna Souley , Hassan Abdourazakou M. , Oumarou Roufai H. , Dan-Badjo Abdourahamane T. , Chékaraou Mahamane M. S. 
Published: October 2022

The aim of this present study is to determine the physicochemical properties of atmospheric particles in commune 5 of the Niamey region. For this purpose, the determination of the atmospheric physical and chemical properties was carried out using a low-volume sampler, a Davis-type weather station, a balance high sensitivity, The Thermo XL2 and the black carbon reflectometer. The pollutants concerned by this study are mainly fine particulate matter (PM2.5), black carbon and heavy metals such as Cr, Cu, Hg, Mn, Ti, V, Zn, Ba, Fe and Sr. According to the result of this study which is carried out over 30 days, the PM2.5 concentrations of air measured were between 0 and 286.54 μg/L with a mean value of 11.65 μg/L. The temperature values were between 24 and 27 °C with an average value of 25.3°C. The humidity value of measured air varies between 8 and 17 % with a mean value of 13.3 %. The measured wind speed values are between 3.24 and 6.48 Km/h with an average value of 4.14 Km/h. According to World Health Organization guidelines the PM2.5, Mn, Hg, Ba, Cr and black carbon concentrations measured during this study exceeded the permissible limit values. Correlation analysis results highlighted a strong correlation between Mn-Fe, Mn-Zn, Mn-Ti, Mn-V, Mn-Cr, Zn-Ti, Zn-V, Zn-Cr, Ti-V, and Ti-Cr indicating that these ions come from a common source. According to principal component analysis for heavy metals, three principal factors that explain 87.34% of the total variance have been formed. Component 1 includes V, Zn, Ti and Cr with a variance value of 56.067 %; the second factor includes Ba and black carbon with a variance value of 19.665 % and the third factor is only represented by Sr with a variance value of 11.612 %. The high value of variance observed in the first group of components indicated that V, Zn, Ti and Cr are the main pollutants that control the air pollution in the study area.
Possible Perspective for Quantum Mechanics Interpretation: An Essay-Suggestion
Authors: Dumitru Spiridon 
Published: October 2022

The idea of new-type articles, named “Perspectives”, announced recently by some leading journals, is suggested to be approached for the controversial question of quantum mechanics interpretation. Firstly, it is revealed briefly the unsatisfactory situation of the nowadays predominant doctrine about that question. Then some basic elements of the proposed approach are presented. Those elements refer to (i) uncertainty relations, (ii) distinction between own tasks of quantum mechanics and description of quantum measurements, (iii) defects of collapse scenarios for measurements, and (iv) depiction of quantum measurements as data transmission stochastic processes. The essay closes with some concluding remarks.
A crossvalidation-based comparison of kriging and IDW in local GNSS/levelling quasigeoid modelling
Authors: Ligas Marcin , Lucki Blazej , Banasik Piotr 
Published: October 2022

Abstract
This study compares two interpolation methods in the problem of a local GNSS/levelling (quasi) geoid modelling. It uses raw data, no global geopotential model is involved. The methods differ as to the complexity of modelling procedure and theoretical background, they are ordinary kriging/least-squares collocation with constant trend and inverse distance weighting (IDW). The comparison itself was done through leave-one-out and random (Monte Carlo) cross-validation. Ordinary kriging and IDW performance was tested with a local (using limited number of data) and global (using all available data) neighbourhoods using various planar covariance function models in case of kriging and various exponents (power parameter) in case of IDW. For the study area both methods assure an overall accuracy level, measured by mean absolute error, root mean square error and median absolute error, of less than 1 cm. Although the method of IDW is much simpler, a suitably selected parameters (also trend removal) may contribute to differences between methods that are virtually negligible (fraction of a millimetre).
Generalized extended Marshall-Olkin family of lifetime distributions
Authors: Goldoust Mehdi , Mohammadpour Adel 
Published: October 2022

Abstract
We introduce a new generalized family of nonnegative continuous distributions by adding two extra parameters to a lifetime distribution, called the baseline distribution, by twice compounding a power series distribution. The new family, called the lifetime power series-power series family, has a serial arrangement of parallel structures, which extends the Marshall and Olkin structure. Four special models are discussed. A mathematical treatment of the new distributions is provided, including ordinary and incomplete moments, quantile, moment generating and mean residual functions. The maximum likelihood estimation technique is used to estimate the model parameters and a simulation study is conducted to investigate the performance of the maximum likelihood estimates. Its applicability is also illustrated by means of two real data sets.
Estimating the confidence interval of the regression coefficient of the blood sugar model through a multivariable linear spline with known variance
Authors: Islamiyati Anna , Raupong  , Kalondeng Anisa , Sari Ummi 
Published: October 2022

Abstract
Estimates from confidence intervals are more powerful than point estimates, because there are intervals for parameter values used to estimate populations. In relation to global conditions, involving issues such as type 2 diabetes mellitus, it is very difficult to make estimations limited to one point only. Therefore, in this article, we estimate confidence intervals in a truncated spline model for type 2 diabetes data. We use a non-parametric regression model through a multi-variable spline linear estimator. The use of the model results from the irregularity of the data, so it does not form a parametric pattern. Subsequently, we obtained the interval from beta parameter values for each predictor. Body mass index, HDL cholesterol, LDL cholesterol and triglycerides all have two regression coefficients at different intervals as the number of the found optimal knot points is one. This value is the interval for multivariable spline regression coefficients that can occur in a population of type 2 diabetes patients.
A Bayesian estimation of the Gini index and the Bonferroni index for the Dagum distribution with the application of different priors
Authors: Arora Sangeeta , Mahajan Kalpana K. , Jangra Vikas 
Published: October 2022

Abstract
Bayesian estimators and highest posterior density credible intervals are obtained for two popular inequality measures, viz. the Gini index and the Bonferroni index in the case of the Dagum distribution. The study considers informative and non-informative priors, i.e. the Mukherjee-Islam prior and the extension of Jeffrey’s prior, respectively, under the presumption of the Linear Exponential (LINEX) loss function. A Monte Carlo simulation study is carried out in order to obtain the relative efficiency of both the Gini and Bonferroni indices while taking into consideration different priors and loss functions. The estimated loss proves lower when using the Mukherjee-Islam prior in comparison to the extension of Jeffrey’s prior and the LINEX loss function outperforms the squared error loss function (SELF) in terms of the estimated loss. Highest posterior density credible intervals are also obtained for both these measures. The study used real-life data sets for illustration purposes.
Polish inequality statistics reconsidered: are the poor really that poor?
Authors: Szulc Adam 
Published: October 2022

Abstract
In the present study income inequality in Poland is evaluated using corrected income data to provide more reliable estimates. According to most empirical studies based on household surveys and considering the European standards, the recent income inequality in Poland is moderate and decreased significantly after reaching its peaks during the first decade of the 21st century. These findings were challenged by Brzeziński et al. (2022), who placed Polish income inequality among the highest in Europe. Such a conclusion was possible when combining the household survey data with information on personal income tax. In the present study the above-mentioned findings are further explored using 2014 and 2015 data and employing additional corrections to the household survey incomes. Incomes of the poorest people are replaced by their predictions made on a large set of well-being correlates, using the hierarchical correlation reconstruction. Applying this method together with the corrections based on Brzeziński’s et al. results reduces the 2014 and 2015 revised Gini indices, still keeping them above the values obtained with the use of the survey data only. It seems that the hierarchical correlation reconstruction offers more accurate proxies to the actual low incomes, while matching tax data provides better proxies to the top incomes.
Modified exponential time series model with prediction of total COVID-19 cases in Belgium, Czech Republic, Poland and Switzerland
Authors: Permpoonsinsup Wachirapond , Sunthornwat Rapin 
Published: October 2022

Abstract
The coronavirus (COVID-19) pandemic affected every country worldwide. In particular, outbreaks in Belgium, the Czech Republic, Poland and Switzerland entered the second wave and was exponentially increasing between July and November, 2020. The aims of the study are: to estimate the compound growth rate, to develop a modified exponential time-series model compared with the hyperbolic time-series model, and to estimate the optimal parameters for the models based on the exponential least-squares, three selected points, partial-sums methods, and the hyperbolic least-squares for the daily COVID-19 cases in Belgium, the Czech Republic, Poland and Switzerland. The speed and spreading power of COVID-19 infections were obtained by using derivative and root-mean-squared methods, respectively. The results show that the exponential least-squares method was the most suitable for the parameter estimation. The compound growth rate of COVID-19 infection was the highest in Switzerland, and the speed and spreading power of COVID-19 infection were the highest in Poland between July and November, 2020.
Two-stage cluster sampling with unequal probability sampling in the first stage and ranked set sampling in the second stage
Authors: Ugwu Michael C. , Madukaife Mbanefo S. 
Published: October 2022

Abstract
In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where probability proportional to size with replacement is used in the first stage unit and ranked set sampling in the second in order to address the issue of marked variability in the sizes of population units concerned with first stage sampling. We obtained an unbiased estimator of the population mean and total, as well as the variance of the mean estimator. We calculated the relative efficiency of the new sampling design to the two-stage cluster sampling with simple random sampling in the first stage and ranked set sampling in the second stage. The results demonstrated that the new sampling design is more efficient than the competing design when a significant variation is observed in the first stage units.
Deep brain stimulation of the posterior subthalamic area as an alternative strategy for management of Holmes tremor: A case report and review of the literature
Authors: Yousefi Omid , Dayyani Mojtaba , Rezaei Razieh , Kamran Hooman , Razmkon Ali 
Published: October 2022

Background:
Holmes tremor is often refractory to medical treatment and deep brain stimulation of the ventralis intermedius nucleus of the thalamus (VIM-DBS) is the intervention of choice in controlling the tremor. Herein, we present a beneficial alternative strategy for the management of such situations, considering the posterior subthalamic area (PSA) as the target of stimulation.

Case Description:
We report a 57-year-old male with the right-sided tremor following a traumatic brain injury 20 years ago. He had been diagnosed with Holmes tremor that was not responsive to nonsurgical therapeutic options. When refractoriness confirmed, he became a candidate for VIM-DBS. During the operation, by performing macrostimulation with a maximum of 2 mA of amplitude, the tremor had no response to the stimulation of different tracts, and severe right hemi-body paresthesia occurred; therefore, we modified our approach and targeted the PSA, which resulted in satisfactory control of the tremor. The permanent lead was implanted into the left side PSA. At 1-year follow-up, the right side tremor was under complete control.

Conclusion:
Our case and other similar pieces of evidence are consistently indicating the potential regulatory effects of PSA-DBS in controlling the Holmes tremor as a feasible alternative strategy when VIM-DBS does not provide a satisfactory response. However, further studies with larger sample size are required to evaluate the long-term response and its possible long-term stimulation-related effects.
Combination of asleep and awake craniotomy as a novel strategy for resection in patients with butterfly glioblastoma: Two case reports
Authors: Hosoya Tomohiro , Yonezawa Hajime , Matsuoka Aiko , Ohno Makoto , Miyakita Yasuji , Takahashi Masamichi , Yanagisawa Shunsuke , Tamura Yukie , Kikuchi Miyu , Nakano Tomoyuki , Oishi Yuri , Manabe Sei , Sato Tetsufumi , Narita Yoshitaka 
Published: October 2022

Background:
Several studies have reported that gross total resection contributes to improved prognosis in patients with butterfly glioblastoma (bGBM). However, it sometimes damages the corpus callosum and cingulate gyrus, leading to severe neurological complications.

Case Description:
We report two cases of bGBM that was safely and maximally resected using brief and exact awake mapping after general anesthesia. Two patients had butterfly tumors in both the frontal lobes and the genu of the corpus callosum. Tumor resection was first performed on the nondominant side under general anesthesia to shorten the resection time and maintain patient concentration during awake surgery. After that, awake surgery was performed for the lesions in the dominant frontal lobe and genu of the corpus callosum. Tumor resection was performed through minimal cortical incisions in both frontal lobes. Postoperative magnetic resonance imaging showed gross total resection, and the patients had no chronic neurological sequelae, such as akinetic mutism and abulia.

Conclusion:
bGBM could be safely and maximally resected by a combination of asleep and brief awake resection, which enabled patients to maintain their attention to the task without fatigue, somnolence, or decreased attention. The bilateral approach from a small corticotomy can avoid extensive damage to the cingulate gyrus.