bluuebunny/crossref_metadata_2025 huggingface dataset:
Desarrollo humano e inclusión productiva en la música popular colombiana: el caso de las bandas de viento en Sucre (Colombia)
Authors: Peralta Farak Yeraldin , Espinosa Espinosa Aaron
Published: October 2023

En este artículo se analiza la experiencia del trabajo cultural de artistas populares en la región Caribe colombiana, revisando el caso de las bandas musicales de viento en el departamento de Sucre. Se utiliza el enfoque de capacidades para soportar teórica y conceptualmente la identificación y el análisis en tres categorías de músicos: bandas escuela, aficionados y profesionales, con una metodología de enfoque mixto (incluyendo una encuesta ad hoc) que permite detallar la actividad laboral y artística e identificar las barreras a la inclusión productiva. Los resultados muestran notorias brechas de capacidades básicas y otras provenientes del trabajo laboral artístico, así como en su integración económica. Pese a existir barreras a la inclusión productiva, estos trabajadores culturales constituyen un grupo que preserva la memoria y tradición musical en este departamento. El trabajo contribuye a la literatura aportando una ruta de trabajo replicable a otros contextos y expresiones populares, que hace posible identificar aspectos críticos para el diseño de políticas públicas de patrimonio inmaterial en la música.
Derechos sociales y culturales en el trabajo artístico: un análisis exploratorio de artistas chilenos y mexicanos durante tiempos pandémicos
Authors: Reyes-Martínez Javier , Guzmán-Andrade Carlos
Published: October 2023

En el presente manuscrito buscamos responder qué características sociodemográficas y condiciones del trabajo artístico se relacionan con el ejercicio de diferentes derechos en artistas residentes de Chile y México. Para ellos, diseñamos un estudio exploratorio-explicativo, utilizando datos primarios (N=94). Para el análisis, recurrimos al análisis de regresión logística. Los resultados principales muestran que diversas características sociodemográficas (p. ej., el ser mujer o ser más joven) o condiciones de trabajo (p. ej., el tener un mayor porcentaje de ingresos de actividad artística) disminuyen la posibilidad de ejercer los derechos a la seguridad social, a los servicios de salud, a la vivienda y al uso del tiempo libre, en el marco de la pandemia por COVID-19. Estos resultados señalan la necesidad de políticas públicas, programas e intervenciones que minimicen las condiciones estructurales del mercado laboral actual y que garanticen a los artistas el ejercicio de sus derechos.
Patrimonio Cultural Inmaterial y Ecosistemas Creativos: una revisión de literatura
Authors: Maussa Pérez Fausto Orlando , Montes Hincapié Juan Manuel
Published: October 2023

Este estudio examina las bases teóricas de los ecosistemas creativos del patrimonio cultural inmaterial a través de una revisión de literatura. Utilizando la base de datos Scopus y la técnica de análisis de contenido Tree of Science, se analiza la producción científica por año y país, los tipos de documentos y las áreas temáticas relacionadas. Los resultados destacan la importancia de métodos de valoración, toma de decisiones y políticas, así como la necesidad de incluir otros valores y reconocer a losactores clave en este campo. Estas conclusiones aportan una perspectiva actualizada y proporcionan una base sólida para futuras investigaciones en este ámbito, fomentando el avance del conocimiento en la intersección entre los ecosistemas creativos y el patrimonio cultural inmaterial.
Dehydrocostus lactone from the root of Ajuga integrifolia (Buch.-Ham. Ex D. Don): Quantitative determination and in- silico study for anti-breast cancer activity
Authors: Tessema Fekade Beshah , Gonfa Yilma Hunde , Asfaw Tilahun Belayneh , Tadesse Mesfin Getachew , Bachheti Archana Joshi , Singab Abdel Nasser , Bachheti Rakesh Kumar
Published: October 2023

Many biological activities were reported for the Ajuga species, specifically for Ajuga integrifolia and its synonyms. These include antioxidant, anti-inflammatory, antidiabetic, antibacterial, blood purifier effects, and anticancer activity. This study quantitatively determines dehydrocostus lactone (DHCL) from the root of Ajuga integrifolia and its in silico study for anti-breast cancer activity. Camag HPTLC was used for TLC – densitometric estimation of dehydrocostus lactone. Estrogen receptor alpha (ER?) protein (PDB ID: 3ERT) was selected for its involvement in cell proliferation within the breast cancer cell. Tamoxifen is a reference drug commonly used in hormonal therapy, and DHCL was used as a ligand. Molecular docking was performed using AutoDock Vina in PyRx v.0.8 to get the bestconformational pose for forming the expected receptor-ligand complex. The docking result visualization was performed using LigPlot v.1.4.5 software for 2D, and the interactive visualization in 3D was done using Biovia Discovery Studio software. The presence of DHCL in the root of A. integrifolia was not reported so far. DHCL content in the root of A. integrifolia was estimated to be 16.5 ± 0.25 mg/g of crude extract using the TLC- densitometric method. From the molecular docking study, DHCL was found to be a promising inhibitor for estrogen receptor interaction in the breast cell and can be selected for further in vivo research to develop an anti-breast cancer drug.
Evaluating hepatoprotective activity of polyherbal formulations- an overview of dietary antioxidants
Authors: Mochahary Banjai , Middha Sushil Kumar , Usha Talambedu , B. N. Nagalaxmi  , Goyal Arvind Kumar
Published: October 2023

Chronic liver disease is the foremost cause of morbidity, accounting for 2.2 percent of death. In recent years, excessive attention has been focused on using natural antioxidants as they have the potential to minimize oxidative stress in cells and thus help treat various ailments. Some scientists estimate that two-thirds of plant species have medical applications, and many of these have significant antioxidant potential. Polyherbal formulations (PHFs) have shown therapeutic promise in the treatment of several acute and chronic conditions, including diabetes, wound care, hypertension, cardiovascular disorders, anxiety, neurological imbalances, and disorders of the gastrointestinal, respiratory, and endocrine systems. This article reviews the antioxidant potential of the various polyherbal formulations developed to treat hepatic disorders during the past ten years. After preliminary screening, 53 abstracts based on the polyherbal formulations selected for hepatoprotection were retrieved from several bibliographical databases. This review provides insight and indicates the gaps presented in the case of polyherbal formulations (PHFs) formulations. To conclude, PHFs can activate several physiological processes that quicken the process. Clinical trials should be conducted to further examine these PHFs, and production upscaling will help to open up new markets for PHFs.
Chemical and functional properties of nutrient-dense beverages developed from underutilised crops
Authors: Famakinwa Abiodun , Ngcoko Ayakha , Nicholas Emma , Olubi Olakunbi , Oguntibeju Oluwafemi Omoniyi , Wyk Jessy Van , Obilana Anthony
Published: October 2023

Beverages are typically seen as wholesome snacks that can be included in a daily diet. Despite being part of the regular diet, the majority of these beverages are low in nutrients and high in calories. Worldwide, a variety of industrial processes, raw ingredients and microorganisms are used to manufacture fermented food. Many indigenous or traditional fermented foods and beverages are still prepared today as a form of domestic art. They are created in small businesses, communities and homes. Among the fermented foods that are important to people's diets worldwide are beverages that might have a non-dairy origin. In this study, Moringa oleifera Leaf Powder (MoLP) was used to fortify two beverages, including Amasi (Bambara groundnut) and Mageu (sorghum), at 0% (control), 1% and 5%. After fortifying the fermented and unfermented variations, the beverages' biochemical, chemical and functional properties were analysed. The effects of MoLP (1% and 5%) on the stress, viscosity and torque characteristics of Amasi were significant (p ?0.05). For all of the samples, Amasi and Mageu's values for protein, ash and moisture increased significantly (p ?0.05) due to the inclusion of MoLP. These findings indicate that MoLP-fortified beverages can act as a source of nutrients to address micronutrient deficiencies in children and adults.
Effect of the summer pearl millet-groundnut intercropping system on the growth, productivity and competitive ability of crops under south Odisha conditions
Authors: Sairam Masina , G Shanthi Priya , Maitra Sagar , Shankar Tanmoy
Published: October 2023

A millet-based intercropping system is common in dryland and rainfed conditions. Pearl millet (Pennisetum glaucum L.) exhibits wide adaptability to different agroclimatic conditions and seasons, making it suitable for an intercropping system. Groundnut (Arachis hypogea L.) is a leguminous oil-seed crop that can be cultivated as an intercrop in various cereals and millets to enhance productivity and resource efficiency. Based on these facts, the present study was conducted at the Research Farm of Centurion University of Technology and Management during the summer season of 2022 to assess the effect of the summer pearl millet + groundnut intercropping system on the growth, productivity, and competitive ability of crops under the conditions of south Odisha. The experiment consisted of nine treatments. In case of pearl millet, the highest plant height at harvest was achieved in pearl millet (30 cm × 10 cm) + groundnut (1:1) (186 cm), while the maximum plant height of groundnut at harvest was observed in pearl millet (45 cm × 10 cm) + groundnut (1:2) (70cm). Dry matter production at harvest and leaf area index (LAI) at 60 days after sowing (DAS) of pearl millet were highest in pearl millet sole (857 g m-2 and 2.19, respectively). The maximum dry matter production at harvest was found in groundnut sole. The highest yield of individual crops was observed in their pure stands, with 2677 kg ha-1 and 2633 kg ha-1 of pearl millet grain and groundnut pod, respectively. Among mixed stands, pearl millet (30 cm × 10 cm) + groundnut (1:1) and pearl millet (45 cm × 10cm) + groundnut (1:1) showed superior values of different competition functions, such as aggressivity, relative crowding coefficient, monetary advantage, land equivalent ratio, and area time equivalent ratio. The results concluded that pearl millet and groundnut could be intercropped with a 1:1 row proportion with pearl millet spacing of either 30 cm × 10 cm or 45 cm × 10 cm in south Odisha conditions.
Evaluation of antidiabetic potential of Syzygium kanarense (Talbot) Raizada in streptozotocin- nicotinamide induced diabetic rats.
Authors: C H Sushmitha , G Krishnakumar
Published: October 2023

Worldwide diabetes is the major killer disease and the antidiabetic drugs which are in use cause many side effects. Traditionally, some of the Syzygium spp. are in use for treating diabetes, and many species are being assessed for their antidiabetic property. This study is to assess the antidiabetic effectiveness of the bark of Syzygium kanarense (Talbot) Raizada. The antidiabetic efficacy of methanol and water extracts of the leaf (SKLM, SKLW) and the bark (SKBM, SKBW) were evaluated in vitro by the alpha-glucosidase- and alpha-amylase-inhibitory assays. The in vivo antidiabetic activity of the bark was assessed by oral glucose tolerance test (OGTT) and streptozotocin- nicotinamide (STZ-NA)-induced non-obese type 2 diabetic rat model. The serum biochemical parameters and histopathology of the pancreas, liver and kidney were evaluated after 21 days of treatment. The total phenolics and flavonoids were quantified in all the extracts. The antioxidant activity was assessed using the DPPH assay. Administration of SKBM and SKBW to STZ-NA-induced diabetic rats at 300 mg/kg and 600 mg/kg orally for 21 days exhibited statistically significant (P < 0.001) and dose-related drop in blood sugar levels, serum lipid and hepatorenal parameters. The extract-treated rats showed rejuvenated islets and increased beta-cell density in the pancreas, improved liver architecture and glomerular regeneration without fat deposition. Bark extracts showed the strongest alpha –glucosidase- and alpha –amylase-inhibitory activity in contrast to the leaf extracts. Antioxidants, phytoconstituents and antidiabetic action, as well as protection against free radical damage, were proved to be significantly correlated.
Minimizing movements for anisotropic and inhomogeneous mean curvature flows
Authors: Chambolle Antonin , De Gennaro Daniele , Morini Massimiliano
Published: October 2023

In this paper we address anisotropic and inhomogeneous mean curvature flows with forcing and mobility, and show that the minimizing movements scheme converges to level set/viscosity solutions and to distributional solutions à la Luckhaus–Sturzenhecker to such flows, the latter result holding in low dimension and conditionally to the convergence of the energies. By doing so we generalize recent works concerning the evolution by mean curvature by removing the hypothesis of translation invariance, which in the classical theory allows one to simplify many arguments.
Self-Reported Mental Health and the Demand for Mental Health Care After a Labor Market Shock: Evidence from the Spanish Great Recession
Authors: Polo-Muro Eduardo Ignacio
Published: October 2023

This research examines the mental health inequalities between employed and unemployed individuals among the fluctuations over the business cycle. To analyze whether a recession affects self-evaluated mental health and consequently increases the demand for mental health care, I exploit the sudden increase of the unemployment rate in Spain during the period 2007–2009. First, I analyze the impairment of self-evaluated mental health as a consequence of the Great Recession and if it prevails during the economic recovery. In addition, I estimate if the effect on self-reported mental health is reflected in demand for mental health care. The results from an event study design show that the economic downturn increases the differences between employed and unemployed individuals in self-evaluated mental health. However, and despite the continuous improvement in unemployment, the mental health gap remained unchanged between 2014 and 2017, which could imply the persistence of some lasting impacts of the Great Recession on mental health. Nonetheless, I find a reduction in the differences of using drugs related to mental health during the period 2011–2012, when I estimate the largest inequalities in self-evaluated mental health.
The quasi-Zariski topology on the graded quasi-primary spectrum of a graded module over a graded commutative ring
Authors: Jaradat Malik , Al-Zoubi Khaldoun
Published: October 2023

Let G be a group. Let R be a G-graded commutative
ring and let M be a graded R-module. A proper graded submodule Q of M is
called a graded quasi-primary submodule if whenever

r
∈

h
⁢

(
R
)

{r\in h(R)}

and

m
∈

h
⁢

(
M
)

{m\in h(M)}

with

r
⁢
m

∈
Q

{rm\in Q}

, then either

r
∈
Gr

(

(
Q

:
R

M
)

)

{r\in\operatorname{Gr}((Q:_{R}M))}

or

m
∈

Gr
M

⁡

(
Q
)

{m\in\operatorname{Gr}_{M}(Q)}

.
The graded quasi-primary spectrum

qp
.
Spec

g

(
M
)

{\mathop{\rm qp.Spec}\nolimits_{g}(M)}

is defined to be the set
of all graded quasi-primary submodules of M. In this paper, we introduce
and study a topology on

qp
.
Spec

g

(
M
)

{\mathop{\rm qp.Spec}\nolimits_{g}(M)}

, called the quasi-Zariski topology,
and investigate the properties of this topology and some conditions under which

(

qp
.
Spec

g

(
M
)

,
q

.

τ
g

)

{(\mathop{\rm qp.Spec}\nolimits_{g}(M),q.\tau^{g})}

is a Noetherian, spectral space.
On ρ-statistical convergence in neutrosophic normed spaces
Authors: Ersan Sibel
Published: October 2023

In this study, the concept of ρ-statistical convergence with respect to the neutrosophic norm in the neutrosophic normed spaces is introduced. Some properties and some inclusion theorems related to this concept are investigated.
The good or the bad: an overview of autoantibodies in traumatic spinal cord injury
Authors: Guntermann Annika , Marcus Katrin , May Caroline
Published: October 2023

Infections remain the most common cause of death after traumatic spinal cord injury, likely due to a developing immune deficiency syndrome. This, together with a somewhat contradictory development of autoimmunity in many patients, are two major components of the maladaptive systemic immune response. Although the local non-resolving inflammation in the lesioned spinal cord may lead to an antibody formation against autoantigens of the injured spinal cord tissue, there are also natural (pre-existing) autoantibodies independent of the injury. The way in which these autoantibodies with different origins affect the neuronal and functional outcome of spinal cord-injured patients is still controversial.
A note on the degree of ill-posedness for mixed differentiation on the d-dimensional unit cube
Authors: Hofmann Bernd , Fischer Hans-Jürgen
Published: October 2023

Numerical differentiation of a function over the unit interval of the real axis, which is contaminated with noise, by inverting the simple integration operator J mapping in

L
2

{L^{2}}

is discussed extensively in the literature. The complete singular system of the compact operator J is explicitly
given with singular values

σ
n

⁢

(
J
)

{\sigma_{n}(J)}

asymptotically proportional to

1
n

{\frac{1}{n}}

. This indicates a degree one of ill-posedness for the associated inverse problem of differentiation. We recall the concept of the degree of ill-posedness for linear operator equations with compact forward operators in Hilbert spaces. In contrast to the one-dimensional case, there is little specific material available about the inverse problem of mixed differentiation, where the d-dimensional analog

J
d

{J_{d}}

to J, defined over unit d-cube, is to be inverted.
In this note, we show for that problem that the degree of ill-posedness stays at one for all dimensions

d
∈
ℕ

{d\in{\mathbb{N}}}

.
Some more discussion refers to the two-dimensional case in order to characterize the range of the operator

J
2

{J_{2}}

.
Coupling of laser diode with cylindrical microlens fabricated on the tip of single-mode photonic crystal fiber: prediction of coupling optics by ABCD matrix
Authors: Majumdar Angshuman , Gangopadhyay Sankar
Published: October 2023

We report the theoretical prediction of the coupling optics involving a laser diode and photonic crystal fiber which contains on its tip cylindrical microlens. The analysis is based on relevant ABCD matrix formalism. Though photonic crystal fiber has very large single-mode region, we carry on the investigation for two commonly used wavelengths such as 1.3 µm and 1.5 µm. For the particular kind of photonic crystal having specific value of air filling ratio and hole pitch, we have optimized the distance of laser diode from the microlens in order to get maximum value of coupling efficiency for each value of radius of cylindrical microlens. Incidentally, we have got here maximum coupling efficiency to the extent of 86.99 % at the wavelength 1.3 µm when the radius of the cylindrical microlens is 8.5 µm and effective spot size of the fiber is 4.433909 µm. Further, the maximum efficiency becomes 91.78 % at 1.3 µm when the radius of the cylindrical microlens is 4.0 µm and effective spot size of the fiber is 1.859907 µm. It has been shown that wavelength 1.5 µm is not so coupling efficient like 1.3 µm. Moreover, it has been shown that with same set of relevant parameters, PCF is more coupling efficient compared to ordinary graded index fiber. Thus the present work generates scope for varying different photonic crystal fiber parameters and the wavelengths of source as well for enhancing the coupling efficiency. Accordingly, the present analysis will be extremely helpful for design of efficient coupler of this kind.
Bayesian approach for design and analysis of medical device trials in the era of modern clinical studies
Authors: Cao Han , Yao Chen , Yuan Ying
Published: October 2023

Medical device technology develops rapidly, and the life cycle of a medical device is much shorter than drugs. It is necessary to evaluate the safety and effectiveness of a medical device in a timely manner to keep up with technology flux. Bayesian methods provides an efficient approach to addressing this challenge. In this article, we review the characteristics of the Bayesian approach and some Bayesian designs that were commonly used in medical device regulatory setting, including Bayesian adaptive design, Bayesian diagnostic design, Bayesian multiregional design, and Bayesian label expansion study. We illustrate these designs with medical devices approved by the US Food and Drug Administration (FDA). We also review several innovative Bayesian information borrowing methods, and briefly discuss the challenges and future directions of the Bayesian application in medical device trials. Our objective is to promote the use of the Bayesian approach to accelerate the development of innovative medical devices and their accessibility to patients for effective disease diagnoses and treatments.
Cortical Synchrony and Information Flow during Transition from Wakefulness to Light Non-Rapid Eye Movement Sleep
Authors: Fan Joline M. , Kudo Kiwamu , Verma Parul , Ranasinghe Kamalini G. , Morise Hirofumi , Findlay Anne M. , Vossel Keith , Kirsch Heidi E. , Raj Ashish , Krystal Andrew D. , Nagarajan Srikantan S.
Published: October 2023

Sleep is a highly stereotyped phenomenon, requiring robust spatiotemporal coordination of neural activity. Understanding how the brain coordinates neural activity with sleep onset can provide insights into the physiological functions subserved by sleep and the pathologic phenomena associated with sleep onset. We quantified whole-brain network changes in synchrony and information flow during the transition from wakefulness to light non-rapid eye movement (NREM) sleep, using MEG imaging in a convenient sample of 14 healthy human participants (11 female; mean 63.4 years [SD 11.8 years]). We furthermore performed computational modeling to infer excitatory and inhibitory properties of local neural activity. The transition from wakefulness to light NREM was identified to be encoded in spatially and temporally specific patterns of long-range synchrony. Within the delta band, there was a global increase in connectivity from wakefulness to light NREM, which was highest in frontoparietal regions. Within the theta band, there was an increase in connectivity in fronto-parieto-occipital regions and a decrease in temporal regions from wakefulness to Stage 1 sleep. Patterns of information flow revealed that mesial frontal regions receive hierarchically organized inputs from broad cortical regions upon sleep onset, including direct inflow from occipital regions and indirect inflow via parieto-temporal regions within the delta frequency band. Finally, biophysical neural mass modeling demonstrated changes in the anterior-to-posterior distribution of cortical excitation-to-inhibition with increased excitation-to-inhibition model parameters in anterior regions in light NREM compared with wakefulness. Together, these findings uncover whole-brain corticocortical structure and the orchestration of local and long-range, frequency-specific cortical interactions in the sleep-wake transition.

SIGNIFICANCE STATEMENTOur work uncovers spatiotemporal cortical structure of neural synchrony and information flow upon the transition from wakefulness to light non-rapid eye movement sleep. Mesial frontal regions were identified to receive hierarchically organized inputs from broad cortical regions, including both direct inputs from occipital regions and indirect inputs via the parieto-temporal regions within the delta frequency range. Biophysical neural mass modeling revealed a spatially heterogeneous, anterior-posterior distribution of cortical excitation-to-inhibition. Our findings shed light on the orchestration of local and long-range cortical neural structure that is fundamental to sleep onset, and support an emerging view of cortically driven regulation of sleep homeostasis.
Implementation of the Affordable and Clean Energy Sustainable Development Goals (SDG) in Visegrad Group (V4)
Authors: Bartniczak Bartosz
Published: October 2023

The problems related to the process of industrialisation such as biodiversity depletion, climate change and a worsening of health and living conditions, especially but not only in developing countries, intensify. Therefore, there is an increasing need to search for integrated solutions to make development more sustainable. The United Nations has acknowledged the problem and approved the “2030 Agenda for Sustainable Development”. On 1st January 2016, the 17 Sustainable Development Goals (SDGs) of the Agenda officially came into force. These goals cover the three dimensions of sustainable development: economic growth, social inclusion and environmental protection(Salvia, Azul, Brandli, Wall, Filho, 2021). Energy is at the forefront of the development agenda. Recognizing energy's vital role in development and prosperity, the world has committed to Sustainable Development Goal 7 to Affordable and Clean Energy (Banerjee, Moreno, Primiani, Seong, Sinton, 2017). This presented study discusses problems related to the implementation of the Sustainable Development Goal 7: Affordable and Clean Energy, based on the example of the Visegrad Group (V4) countries. The introduction addresses the general characteristics of the V4 and attempts to define the concept of sustainable development, with particular emphasis on its complex nature and importance for future generations. The purpose of the research is to assess the diversity within the Visegrad Group countries in terms of affordable and Clean Energy. The study conducted in the article shows in that between 2009 and 2020, the Visegrad Group countries differed significantly due to all aspects of sustainable energy adopted by the European Union for monitoring sustainable development in the area of Affordable and Clean Energy.
Criminality vs. Development and International Trade, Case of Latin America
Authors: Zubaľová Ľubica , Drieniková Kristína , Smolková Sára
Published: October 2023

Latin America as a developing region is facing various developing problems, however one of them is the most convex - the high crime rates. High inequality of the region only deepens the negative effect of criminality. Several authors deal with psychological, sociological, historical, legal, political impacts of crime, less attention is paid to the impact of crime on development and international trade involvement. Therefore, we decided to explore whether increased crime is precisely connected to countries with low economic development, and whether countries with an important level of crime have low involvement in the international trade. To confirm this hypothesis, we used econometric regression OLS models. We concluded that development and international trade are complex phenomena, and even in economies with higher development, an increase in crime can occur. We can conclude that crime is not the main factor leading to a decline in economic growth and international trade involvement.
Values Endorsed by Top Responsible Large Czech Companies – Existent and Inconsistent?
Authors: MacGregor Pelikánová Radka , Zavřelová Veronika
Published: October 2023

The sustainability command is embraced by businesses in the 21st century and is projected in their corporate social responsibility (CSR). The need of the employment of a multi-stakeholder model leads to a focus on common principles and priorities, i.e. creating shared values (CSV). The EU, with EU law, supports it, while various policies and organization reward it, such as the Czech organization Business pro Společnost, which, based on its synthetic index, selects the Czech TOP 25 most responsible companies. These companies have different countries of origins and operate in diverse industries, but they all are pro-sustainability. The question is whether they endorse the expected cultural, legal and social values (H1) and, if yes, whether there is a consistency and/or patterns (H2). Based on a sustainability, CSR and CSV review, a set of cultural, legal and social values are identified in order to be used in a case study. A pool of 36 large Czech companies from these TOP 25 in 2018-2022 is examined based on their BpS synthetic index, their country of origin´s Hofstede LTO and IDV and their advancement of internal reactive legal and social values (solidarity, respect) and external proactive legal and social values (equality, no waste) via their domains. These four legal and social values are ranked by an independent panel using a modified Likert scale and a manual Delphi approach. The yielded results are juxtaposed via a chart to allow pioneering propositions about the existence (H1) and inconsistency (H2) of values endorsed by top responsible large Czech companies.
Modeling the Excess Return of ČEZ a.s. Share
Authors: Tran Quang Van , Vejmělek Jan
Published: October 2023

To evaluate the excess return of ČEZ a.s. shares, we propose a multifactor asset pricing model derived from the Asset pricing theory. In addition to market risk, factors that may affect the performance of ČEZ a.s. shares are added. These are price of electricity, price of natural gas, price of CO2 emission allowances and the industrial production index. To take into account a possible persistence of the excess return and external shocks, autoregressive and moving average terms are also included into the model. Thus, from an econometric point of view, it is an ARMAX model. We verify the validity of the model on monthly and quarterly data from 9-2007 to 4-2023. The results of our analysis show that the proposed model can explain exceedingly well the variability of excess return of ČEZ a.s. stock in both monthly and quarterly time frequencies.
The Influence of Review Richness and Valence on the E-WOM Trustworthiness
Authors: Batumalai Theventharan
Published: October 2023

This study aims to examine the relationship between review richness and valence in the context of the trustworthiness of electronic word-of-mouth when choosing a coffee shop. The study collected data through an experiment on a simulated restaurant aggregator platform involving eight coffee shops and reviews with varying richness and valence. Participants (130 individuals) were asked to rate the cafés based on their preferences for selecting one. The findings highlight the relative importance of review richness compared to the review's positive or negative sentiment in influencing trustworthiness. Moreover, the study reveals that review richness has a more significant impact on credibility for positive than negative valence. Consumers associate richer reviews with higher quality and credibility, while shorter, less detailed reviews are deemed less valuable to provide sufficient evidence to enhance trustworthiness.
Perception and Identification of the General Public with Sustainable Finance Issues
Authors: Strýčková Lenka
Published: October 2023

The perception and identification of the general public regarding sustainable finance issues have become a crucial consideration in implementing sustainable financial policies. Sustainable finance addresses contemporary global financial challenges by harmonising economic, social, and environmental (ESG) interests. This paper reviews various perspectives on sustainable finance, focusing on its importance for the general public. The paper aims to examine the perceptions and identification of the general public regarding sustainable finance issues. The empirical investigation is based on the questionnaire survey and its statistical evaluation. The research results indicate that the significance of carbon footprint as a metric for gauging environmental sustainability is relatively moderate by the general public. The respondents indicated the following financial products as the most environmentally unfriendly: debit cards, electronic banking on PC, and investment funds. As financial products with the lowest emissions and environmental impact, the respondents stated: smart-banking apps in the mobile phone, current accounts, and banking identity. At the same time, the general public is not very familiar with specified concepts related to sustainable finance (open banking, impact investing), and the differences between generations are insignificant. The paper uses a questionnaire survey on the Google Forms platform. The questionnaire included multiple-choice questions, Likert scale items, and participant demographic data.
The Influence of Multi-Channel Advertising by the Pharmacy on Customers and Identification of Advertising Perceptions by Customers
Authors: Wick Alexander , Strážovská Ľubomíra , Koczian Bernhard
Published: October 2023

Effective use of media channels in marketing requires a thorough understanding of the target audience and the channels they are most likely to use. Successful implementation of media channel strategies can increase brand awareness, customer loyalty and sales. Pharmacies are highly location-based and need to tailor their marketing efforts to specific regions to ensure maximum effectiveness. They need to tailor their marketing strategies to the specific preferences and behaviours of the target audience in each region. A company targeting a region (e.g. village regions) where many families live, for example, may need to tailor its marketing messages to required values. This includes highlighting families in advertising or emphasising how their products or services can add value to them. There needs to be a coordinated marketing strategy. In this paper, the objective is to find out whether customers are generally interested in advertising medical products and, if so, which media channels they prefer. From this it can be deduced whether a multi-channel strategy would be worthwhile for retail pharmacies. Based on the results of a customer survey, it can be said that medical product advertising is perceived on various channels, but that the proportion is low, with only about half as a target group.
The sensitivity level of landslide risk using Geographic Information System on the slopes of Mount Argopura, East Java, Indonesia
Authors: Basuki Basuki , Sulistiawati Nina , Verdian Dimas , Naely Zahrotun
Published: October 2023

Jember is surrounded and limited by highlands such as Mount Argopura, Mount Ijen, Mount Argopura, and the southern karst mountains. In 2015-2022, the Jember area flooded during the rainy season and dried during the dry season. Changes in land cover that do not follow the science of soil preservation will cause disasters, including landslides and erosion. The purpose of this study is to assess the risk of landslides on the slopes of Mount Argopura through the Geographic Information System. The study used a field survey method that was divided into several stages, including making a working map, conducting a field survey, and analyzing the data in the laboratory. The sensitivity analysis of the landslide level used as the basis for the assessment used the relationship between the parameters of soil erodibility, soil erosion, slope and soil conservation, and slope length. The sensitivity of the level of landslide risk on Mount Argopura is divided into five classes, from very light to very heavy. The very light category covers 4.92% of the total area with erosion of 0.47 t/ha/year. The very heavy class covers 39.70% of the total area, with 1,360.79 t/ha/year erosion.
Analysis of the level of groundwater environmental damage due to community activities in the Parangtritis coastal area, DIY Province
Authors: Puspita Ayunda MIlla , Santosa Langgeng Wahyu , Adji Tjahyo Nugroho
Published: October 2023

This study aimed to analyze the level of damage to the groundwater environment in terms of groundwater quality in the coastal area of Parangtritis and its surroundings. This research study unit is based on the landform unit and activities of the community. The research location is located in Parangtritis Village, Yogyakarta Special Region (DIY) Province. This study used a descriptive quantitative analysis as its method of analysis. This study used primary data obtained by testing groundwater samples in the laboratory. The groundwater sampling technique is carried out using the purposive sampling area. Groundwater sampling was carried out on eleven land units. The determination of the level of environmental damage to groundwater is carried out using the Pollution Index (IP) method referring to the Regulation of the Minister of Environment Number 115 of 2003. The results showed that the environmental damage to groundwater shows the quality status of lightly polluted water with pollutant index values ranging from 1.244-4.176 with variable pollutants chemical oxygen demand (COD), dissolved oxygen (DO), ammonia, nitrate, phosphate, and total coliform as well as with sources of pollutants from settlements, livestock, and agricultural activities.
Mapping eruption affected area using Sentinel-2A imagery and machine learning techniques
Authors: Trigunasih Ni Made , Narka I Wayan , Saifulloh Moh
Published: October 2023

Volcanic eruptions are natural disasters with significant environmental and societal impacts. Timely detection and monitoring of volcanic eruptions are crucial for effective hazard assessment, mitigation strategies, and emergency response planning. Remote sensing technology has emerged as a valuable tool for detecting and assessing the effects of volcanic eruptions. One of the challenges in remote sensing image processing is handling large data dimensions that are difficult to address using traditional methods. Machine learning approaches offer a suitable solution to tackle these challenges. Machine learning demonstrates increasing computational capabilities, the ability to handle big data and automation. This study aimed to compare different machine learning classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Gaussian Mixture Model (GMM), and K-Nearest Neighbors (KNN). The data utilized in this study was derived from Sentinel-2A Multi-Spectral Instrument (MSI) imagery, which was tested in areas affected by the eruption of Mount Agung, Bali Province, in 2017. The results indicated that the GMM algorithm performed the best among the machine learning classifiers, achieving an Overall Accuracy (OA) value of 82.04%. It was followed by RF (78.86%) and KNN (77.55%). The areas affected by volcanic eruptions were determined by overlaying disaster-prone regions with areas mapped using the machine learning approach. The total affected area was measured as 29.89 km2, with an additional 3.31 km2 outside the designated zone. The findings of this study serve as a guideline for governmental entities, stakeholders, and communities to implement effective mitigation efforts for disaster risk reduction.
PROTOCOLOS ANESTÉSICOS EM TAMANDUÁS-BANDEIRA (Myrmecophaga tridactyla): ESTUDO RETROSPECTIVO (2006 – 2023)
Authors: N. MATOS F. , L. M. COSTA A. , G. CAIAFFA M. , L. SILVA M. , R. R. GONZAGA C. , F. S. LEANDRO S. , A. MEDEIROS M. , H. F. TEIXEIRA R.
Published: October 2023

Os tamanduás-bandeira (Myrmecophaga tridactyla) são animais pertencentes à superordem Xenarthra, possuindo baixo metabolismo e particularidades anatômicas distintas de outros grupos de mamíferos. A espécie é classificada como vulnerável pela Lista Vermelha da IUCN e ICMBio, sendo muito recorrente em instituições de conservação ex situ e em centros de triagem. O objetivo deste trabalho é compilar os dados retrospectivos de protocolos anestésicos, analisando a eficácia da utilização de cetamina associada ao midazolam para a contenção química de tamanduás-bandeira. Foram selecionadas 55 fichas anestésicas de um grupo heterogêneo de tamanduás-bandeira, atendidos entre 2006 e 2023, no Zoológico de Sorocaba, e cujo protocolo anestésico consistia na associação entre cetamina e midazolam em diversas doses administradas via intramuscular (IM). Observou-se que a dose utilizada de cetamina variou de 4 - 12 mg/kg. Já a dose de midazolam variou entre 0,27 - 1 mg/kg. Durante a manutenção anestésica, a média dos parâmetros fisiológicos foi de 78 ± 32 bpm de frequência cardíaca, 10 ± 7 mpm de frequência respiratória, e 33,9 ± 1°C de temperatura retal. O tempo útil médio de trabalho foi de 56 minutos e apenas 11 animais apresentaram recuperação prolongada, acima de 2 horas e 30 minutos. No protocolo analisado obteve-se rápida indução e tempo de trabalho adequado, ainda com possibilidade de prolongamento do protocolo anestésico com auxílio do uso inalatório de isoflurano. Não houve episódios de apneia ou depressão severa dos parâmetros analisados durante os procedimentos.
Exergoeconomic Analysis of a Direct Expansion Solar Assisted Heat Pump for Humid and Tropical Climates
Authors: Gorozabel-Chata Francis , Carbonell-Morales Tania , Panchana-Cedeño Roxana
Published: October 2023

A direct expansion solar assisted heat pump (DX-SAHP) is a heating water technology that convey a conventional solar heating system with a heat pump. This technology with great potential should overcome economics aspects to be available commercially soon. An exergoeconomic analysis of a DX-SAHP has been performed for three collector configurations and three compressor displacement capacity under the meteorological condition of Portoviejo city in Ecuador, a location with a tropical and humid climate. The present work is aimed to study the relationship between exergoeconomic data under various operations conditions. In addition, the exergy destruction, exergetic efficiency, cost rate per exergy unit product and fuel, cost rate associated to exergy destruction, exergoeconomic factor for each component of a DX-SAHP are evaluated. The exergoeconomic factor is found lowest for the solar collector for all the configurations, with estimated values of 5 to 21%. The component that needs more improvement for a tropical and humid climate is the solar collector based on exergoeconomic factor. On the basis of the present study, it can be concluded that a solar collector area of 1,5 m2 and a rotational displacement capacity of 1350 rpm performs better in all respects.
Corruption and Abuse of Power in State Administration of Law: A Socio-Legal Perspective
Authors: Riyadi Bambang Slamet
Published: October 2023

The complexities of corruption and abuse of power cases involve multiple stakeholders ranging from the government and corporations. This research aims to understand the corruption and abuse of power in state administration that are very interesting to be studied due at the ontological level and sociological level based on socio-legal perspective. Analysis on research problems was conducted using a mixed method study. Data were collected through interview, observation, documentation, and survey questionnaire. Data analyzed using qualitative data analysis were data reduction, data display, and data verification, triangulation, and a quantitative data analysis were conducted using smartPLS application. The results indicated that it was necessary to do mitigation on the corruption and abuse of power in state administration in Indonesia to provide stakeholders with information and state agencies as public officials and practitioners with input in making better regulation and policies.
Economic Growth Model of Ecuador with Upper Middle Income to Explain and Predict Productivity during the Period 2000-2022
Authors: Balseca Cristian Luis Inca , Balseca Evelyn Geovanna Inca , Maji Franklin Marcelo Coronel , Leon Jose Luis Tinajero
Published: October 2023

Economic growth is one of the most widely used measures of a country's macroeconomic performance, although it is not without its critics. There are strong arguments that per capita gross domestic product growth can reflect an important part of the success or failure of policies implemented in an economy. The objective, to analyse Ecuador's economic growth model with high average income to explain and predict productivity over the period 2000-2022. The materials and methods, this line of research addresses a hypothetical-deductive and descriptive level of inquiry, by developing aspects from the global perspective concerning economic theory and implicit models of classical growth; such as the model that describes the Cobb-Douglas production function, to explain and predict the temporal behaviour of Ecuador's economic development. The above, in order to establish a correlational analysis of the contributions of the macroeconomic determinants of productivity. The response variable to be measured has been the gross domestic product per capita (GDPpc ) with respect to the independent variables: Domestic Savings (S), Gross Fixed Capital Formation (FBKF), Government Final Consumption Expenditure (G), Exports (E) and as a control variable represented by Labor Force (L). A systematic documentary search was carried out through databases: Scielo, Scopus, Google Scholar and Science Direct, to support the present research with contributions with articles of temporal relevance within the last 5 years. In addition, it was based on annual secondary data extractions from official sources such as the Central Bank of Ecuador (BCE) and the World Bank (WB), according to the temporal coverage from 2000 to 2022. Results, 23 temporal observations were analysed to build an econometric model under the adaptation of a Cobb Douglas production function to explain and predict the behavior of elasticity in Ecuador's economic growth, which establishes that 99.81% of the total variability present in the data is explained by the model that includes variations in savings, gross fixed capital formation, labour force, government final consumption expenditure and exports in the analysed period. Conclusions, the imports variable is eliminated as it is not statistically significant, the resulting model complies with the basic assumptions and the corresponding economic validation in terms of the signs of the estimates for the determinants of economic growth in Ecuador.
Technological Pedagogical Knowledge Factors for Professional Teacher Candidates in Elementary Schools: A Structural Equation Model
Authors: Herwin Herwin , Kurniawati Kurniawati , Saptono Bambang , Hastomo Agung , Adi Banu Setyo , Haryani Haryani , Hanapi Mazarul Hasan Mohamad
Published: October 2023

Technological pedagogical knowledge is quite a serious issue and is a problem today. This is based on conditions in the field which show that not all teachers are well prepared with this knowledge. This study aims to empirically find factors that influence the technological and pedagogical knowledge of prospective professional teachers in elementary schools. This research is survey research using a quantitative approach. This research design uses a structural equation model. This design involves four variables, namely content knowledge, technological knowledge, pedagogical knowledge and technological and pedagogical knowledge. The subjects of this research were participants in professional teacher education in Indonesia. The sample participants for this study were randomly selected as many as 151 participants. The data collection technique for this research was carried out using a questionnaire. The research instrument measures four variables using 12 measuring items which are indicators for variable measurement. Data were analyzed by structural equation model. The research results show that an important factor that has a dominant effect on the formation of teachers' technological pedagogical knowledge is good technological knowledge. In addition, pedagogical knowledge is also one of the triggers for technological pedagogy knowledge. Although based on empirical findings, the influence of this knowledge is not as great as technological knowledge. Furthermore, the factor of technological pedagogical knowledge is also indirectly shown in the content knowledge variable. The findings of this study explain that there is a fairly strong indirect effect.