bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Assets and the Global Economy: How the Use of Statistical Models Can Help Bitcoin Price Prediction
Authors: Bakumenko L. P. , Vasileva N. S.
Published: May 2023

The purpose of the study is to analyze the potential of statistical modeling in predicting the prices of the Bitcoin cryptocurrency and its impact on the economy. In the course of the article, answers were received to such questions as: What is the impact of macroeconomic events on the dynamics of the Bitcoin price? How quickly does the cryptocurrency market stabilize after the falls? How effective is statistical modeling to solve the problem of predicting the price of Bitcoin? Which model shows the best results? What measures of regulation and control of the cryptocurrency market are necessary at the stage of its formation in the Russian Federation?

Materials and methods. Historical data on average monthly Bitcoin closing prices and macroeconomic events such as the COVID-19 pandemic and the Russian-Ukrainian conflict were collected and analyzed. The paper uses statistical models, including ARIMA and LSTM, to predict future Bitcoin prices based on historical data. The accuracy of the models was calculated based on such indexes as the mean absolute error (MAE) and the mean square error (MSE).

Results. Analysis of the impact of macroeconomic events showed that during the crisis, the attractiveness of Bitcoin increased and investors used this asset as a new investment tool. During the analysis of the consequences of the Russian-Ukrainian conflict for the cryptocurrency market, its reaction to geopolitical events was revealed according to the increased liquidity indexes in the market. In the process of modeling the dynamics of the average monthly Bitcoin price, the model with parameters (1, 1, 0) at MAE = 15.03% was recognized as the best ARIMA model. The LSTM neural network model on a similar data set showed a MAE error equal to 2.57%.

Conclusion. The analysis shows that itcoin was the most attractive investment tool during the crisis, which led to a sharp increase in its price in 2021. The Russian-Ukrainian conflict has also affected its price, causing a significant decline in 2022. However, statistical modeling methods predict an increase in the price of Bitcoin in the first half of 2023, and governments may consider regulating or controlling its use to reduce risks associated with the cryptocurrency market. The recommended measures are the introduction of regulations, the introduction of transaction taxes, the development of national digital currencies, public education and the prevention of criminal activity.
Heterogeneous Copper-catalyst Anchored on Chitosan Schiff Basemodified
Carbon Nanotubes for Click Reaction
Authors: Kwak Soo-Jung , Kim Seung-Hoi , Shin Ueon Sang
Published: May 2023

A newly designed heterogeneous copper catalytic platform immobilizing copper (II) salt on
chitosan Schiff base-modified carbon nanotubes was developed (Cu@CS-Py@CNT). The structure of
the catalyst platform was fully characterized by spectroscopic analyses. The catalytic activity of the
Cu@CS-Py@CNT was investigated in a one-pot synthesis of 1,4-disubstituted 1,2,3-triazoles by the
regioselective click reaction using various benzyl halides or their surrogates, terminal alkynes, and sodium
azide in an aqueous environment without using any external Cu-reducing agents.
An Aminoantipyrine-containing Schiff base Fluorescent Chemosensor for
Hg2+-Selective Detection
Authors: He Xuelei , Song Shijie , Li Chengke , Zhang Qiangqiang , Dong Qiang , Li Lin , Qin Yonggang , Zhao Qiang , Wang Jianxiong
Published: May 2023

Specific recognition at trace quantity levels of metal ions without using the costly analytical
instrument and a tedious sample preparation method is an extensive concern for environmental
monitoring and mitigation. Mercury(II) (Hg2+) has acute toxicity. The development of ion-selective
fluorescence sensors for the selective detection of Hg2+ is an essential task to accomplish. The aim of
this study is to detect Hg2+ in an aqueous medium. A fluorescence sensor (DP) based on Schiff base
was designed and utilized to detect Hg2+. Scanning electron microscope (SEM), Fourier transformed
Infrared (FT-IR), X-ray powder diffraction (XRD), and X-ray photoelectron spectroscopy (XPS) were
used to learn the sensing mechanism between sensor DP and Hg2+ cations. When Hg2+ ions were added
to the sensor DP, it showed a dramatic fluorescent “turn-on” response for Hg2+ in dimethylformamide
(DMF) solution. And the detection limit (LOD) of DP for Hg2+ in aqueous media (1.0 mol L-1)
was 2.23 × 10-8 mol L-1. In summary, an aminoantipyrine-containing Schiff base fluorescent
chemosensor for extraordinary recognition of Mercury(II) was designed and synthesized via a simple
one-step pathway and led to intermolecular self-assembly through π-π stacking interactions. And the
sensor DP could fluorescently “turn on” when the Hg2+ cation was added. The limitation of Hg2+ was
2.23×10-8 M, which indicated that the sensor DP could be useful as a highly selective and sensitive
sensor for detecting Hg2+ ions in an aqueous medium by the strong interaction with DP. Notably, the
sensor DP was used as a fluorescent display material with satisfactory results.
Discovery of Novel Lysine Methyltransferase (SMYD3) Inhibitors by Utilizing 3D-QSAR, Molecular Docking and Molecular Dynamics Simulation
Authors: Shi YuanZe , Chen XiaoDie , Li JiaLi , Yu Na , Wu JinPing , Zhao XueMin , Shu Mao , Lin ZhiHua
Published: May 2023

Aim:

To investigate novel isoxazole amide SMYD3 inhibitors as adjuvant anticancer agents
for multiple cancers.

Background:

SET and MYND Domain-Containing Protein 3 is a hopeful therapeutic target for breast,
liver, colon, and prostate cancer.

Objective:

Novel SMYD3 inhibitors were predicted by the 3D-QSAR models.

Methods:

In this present work, 3D-QSAR, molecular docking and molecular dynamics (MD) simulations
were performed on a series of isoxazole amides-based SMYD3 inhibitors.

Results:

Molecular docking revealed residues important to protein-compound interactions, indicating that
SMYD3 inhibitors have a strong affinity with and bind to key protein residues such as TYR239,
MET190, LYS297 and VAL368. The molecular docking results were further validated by molecular dynamics
simulations.

Conclusion:

The above information provided significant guidance for the design of novel SMYD3 inhibitors.
Estimation of Human Oral Fraction Dose Absorbed of Simvastatin from Various Formulations using in-situ Single Pass Intestinal Perfusion Method
Authors: Verma Madhu , Nanda Arun , Chauhan Iti , Yasir Mohd. , Majhi Sagarika , Rajkumari  , Sharma Meenakshi
Published: May 2023

Background:

SIM is a poorly water-soluble drug with dissolution-dependent bioavaila-bility. A solid dispersion and self-emulsifying drug delivery system was developed, optimized, and evaluated to improve its bioavailability. The permeability coefficient in rats was determined using the in-situ single-pass intestinal perfusion (SPIP) technique. Further, the permeability coefficient (Peff, humans) was used to calculate the permeability and fraction of SIM bioavailable to humans which have not yet been reported for these formulations.

Objective:

To estimate and compare various formulations of Simvastatin (SIM) for bioavailable fraction to humans (Fa) as a function of solubility enhancement.

Methods:

In this study, the preparation and evaluation of SIM formulations i.e., Self-emulsifying drug delivery system (SEDDS) and Solid dispersions (SD) are discussed in brief. An uncomplicat-ed, precise, and accurate HPLC method was validated for simultaneous determination of SIM and phenol red as per ICH guidelines. A comparative in-vitro dissolution test, pharmacokinetic studies, and in-situ SPIP technique in rats were carried out amongst optimized formulations of SIM-SD and SIM-SEDDS, SIM suspension (SIM-SUSP), and SIM marketed preparation (SIM-MP).

Results:

The HPLC method was successfully validated. In-vitro dissolution test displays that both the SIM formulations i.e., SIM-SEDDS and SIM-SD shows better dissolution rate than SIM-MP and SIM-SUSP. Pharmacokinetic studies revealed that SIM-SEDDS, SIM-SD, and SIM-MP showed significant differences when compared to SIM-SUSP in terms of Cmax, [AUC] 0-∞, at P ≤ 0.05. The comparison of permeability coefficient between SIM SEDDS vs. SIM MP and SIM SEDDS vs. SIM SD were non-significant. In contrast, SIM- SUSP vs. all other formulations were significantly different at P ≤ 0.05 (employing two-way ANOVA followed by post-Bonferroni Test). Fa for SIM SUSP, an optimized formulation of SIM-SEDDS, SIM-MP, and SIM-SD are 0.353, 0.977, 0.975, and 0.987 respectively. It is revealed that SIM-SEDDS and SIM-SD showed enhanced absorption and the results are confirmed by in-vitro data, pharmacokinetic studies, and In-situ SPIP techniques.

Conclusion:

The permeability prediction method is a rapid and economical method for screening chemical compounds with the least possible utilization of resources. So, its use can be extended in prime and initial screening prototypes for the evaluation of compounds in the early stages of their formulations.
The Role of Different Medicinal Herbs in Treatment of Polycystic Ovary
Syndrome: A Review
Authors: Sharma Aastha , Bansal Keshav , Bajpai Meenakshi
Published: May 2023

Polycystic ovary syndrome (PCOS/PCOD) indicates a common, multifactorial endocrine condition
marked by polycystic ovaries, chronic anovulation, and hyperandrogenism, resulting in asymmetric
menstrual periods, hirsutism, acne, and infertility. Standard treatment for PCOS is often accompanied by
adverse effects, and is ineffective in certain situations, refutation-based medical guidance accented an
integrative progress. Furthermore, women suffering from PCOS may benefit from alternative treatments.
Herbal treatment includes herbs that have a phytoestrogenic and non-estrogenic nature, including Mentha
spicata, Panax ginseng, Glycyrrhiza glabra, Aloe barbadensis, Cinnamomum zeylanicum, Matricaria
chamomilla, Trigonella foenum-graecum, Linum usitatissimum, and Zingiber officinale, which are effective
and safe. This review focuses on the reproductive endocrine effects of phytomedicine as a choice
treatment so as to PCOD and accompanying oligo/amenorrhoea, acne, hirsutism, and infertility.
MLCEL: Machine Learning and Cost-Effective Localization Algorithms
for WSNs
Authors: Singh Omkar , Kumar Lalit
Published: May 2023

Introduction::

Wireless communication systems provide an indispensable act in real-life
scenarios and permit an extensive range of services based on the users' location. The forthcoming implementation
of versatile localization networks and the formation of subsequent generation Wireless
Sensor Network (WSN) will permit numerous applications.

Materials and Methods::

In this perspective, localization algorithms have converted into an essential
tool to afford compact implementation for the location-based system to increase accuracy and reduce
computational time, proposing a Machine Learning and Cost-Effective Localization (MLCEL) algorithm.
MLCEL algorithm is assessed with considered localization algorithms called Support Vector
Machine for Regression (SVR), Artificial Neural Network (ANN), and K Nearest Neighbor (KNN).
Numerous outcomes show that the MLCEL algorithm performs better than state art algorithms. The
simulation is implemented in MATLAB version 8.1 for a network size of 100 nodes. Sensor nodes are
positioned in a network area of 100 ×100 m2.

Conclusion and Results Discussion::

The results are assessed on different parameters, and MLCEL
achieves better results in localization error 13% 16%, cumulative probability 19%-21%, root mean
square error 14%-18%, distance error 17%-20%, and computational time 22%-24% than SVR, ANN,
and KNN.
Phytocannabinoids as Potential Multitargeting Neuroprotectants in Alzheimer’s
Disease
Authors: Rathod Sumit S. , Agrawal Yogeeta O.
Published: May 2023

The Endocannabinoid System (ECS) is a well-studied system that influences a variety
of physiological activities. It is evident that the ECS plays a significant role in metabolic activities
and also has some neuroprotective properties. In this review, we emphasize several plant-derived
cannabinoids such as β-caryophyllene (BCP), Cannabichromene (CBC), Cannabigerol (CBG),
Cannabidiol (CBD), and Cannabinol (CBN), which are known to have distinctive modulation abilities
of ECS. In Alzheimer's disease (AD), the activation of ECS may provide neuroprotection by
modulating certain neuronal circuitry pathways through complex molecular cascades. The present
article also discusses the implications of cannabinoid receptors (CB1 and CB2) as well as cannabinoid
enzymes (FAAH and MAGL) modulators in AD. Specifically, CBR1 or CB2R modulations
result in reduced inflammatory cytokines such as IL-2 and IL-6, as well as a reduction in
microglial activation, which contribute to an inflammatory response in neurons. Furthermore, naturally
occurring cannabinoid metabolic enzymes (FAAH and MAGL) inhibit the NLRP3 inflammasome
complex, which may offer significant neuroprotection. In this review, we explored the
multi-targeted neuroprotective properties of phytocannabinoids and their possible modulations,
which could offer significant benefits in limiting AD.
Signaling Pathways and Molecular Process of Natural Polyphenols in the
Amelioration of Inflammatory Bowel Disease: A Privileged Scaffold in
New Drug Discovery
Authors: Prakash Om , Singh Ruchi , Bajpai Priyanka , Kumari Meera
Published: May 2023

GIT is seriously affected by inflammatory bowel disease (IBD), which is characterized
by extreme inflammation and an imbalance in a person's healthy life span. The frequency of occurrence
of such chronic diseases as IBD would continue to increase. In the past decade, increasing
attention has been paid to polyphenols from natural sources have been shown to serve as successful
therapeutic agents for altering the signalling pathways linked to IBD and oxidative stress.
We conducted a structured search for peer-reviewed research articles using the various keywords
in bibliographic databases. By using common tools and a deductive qualitative content analysis
technique, the quality of the retrieved papers and the distinctive findings of the articles included in
the study were evaluated. Notably, experimental and clinical evidence has proved that natural polyphenols
could act as a targeted modulator to play a key role in the prevention or treatment of
IBD. Polyphenol phytochemicals have shown noticeable alleviative effects by acting on the
TLR/NLR, and NF-κB signaling pathway in intestinal inflammation. This study examines the potential
of polyphenols for treating IBD, with an emphasis on modulating cellular signalling mechanisms,
regulating the balance of gut microbiota, and restoring the epithelial barrier. The available
evidence concluded that the utilization of polyphenol-rich sources could control inflammation,
mucosal healing, and positive benefits with minimal side effects. Even though additional study is
required in this area, particularly that which focuses on the interactions, connections, and precise
mechanisms of action linking polyphenols and IBD.
The Panama Canal Expansion
Authors: Chavez-Rodriguez Yovani Edgar
Published: May 2023

The Panama Canal has played an important role in the history of the shipping industry. Therefore, it was reasonable to forecast that the Panama Canal expansion would impact port throughput in the six transshipment ports located in Panama. To examine this impact, two periods were analyzed. The first period covered October 2010 to June 2016. The second period covered July 2016 to March 2022. The Wilcoxon signed-rank test and the IBM SPSS Statistics software were used to analyze public data from the Central American Maritime Transport Commission (COCATRAM) measuring port throughput. The research concluded that the Panama Canal expansion has not produced a statistically significant impact on the port throughput of (a) cargo tonnage, (b) cargo TEU and (c) vessel calls.
El derecho internacional penal y la JEP en el caso de la toma de rehenes
Authors: Arevalo-Ramírez Walter
Published: May 2023

El artículo explora la interacción entre los estándares nacionales e internacionales de la Corte Penal Internacional en la implementación de la Jurisdicción Especial para la Paz, particu­larmente en su determinación de hechos y conductas. Primero, se analizan algunas características estatutarias de la JEP. Posteriormente, se analiza si su marco normativo desafía los estándares inter­nacionales y si su implementación fundamenta una colisión de la CPI con Colombia, pese al cierre del examen preliminar en materia de sanciones reparadoras, trato diferenciado y responsabilidad de mando. Finalmente, analiza el Auto 019 de 2021 para demostrar cómo una de las salas de la JEP se basa en la aplicación de la jurisprudencia internacional para atribuir responsabilidad penal a los máximos dirigentes de las FARC-EP por crímenes de guerra y de lesa humanidad.
La primera guerra iraní-israelí: antecedentes e impactos estratégicos de la Guerra del Líbano (2006)
Authors: Melamed-Visbal Janiel David
Published: May 2023

Este artículo explora las relaciones entre Irán e Israel desde su inicial alianza estratégica como países no árabes, gracias a la cooperación sobre intereses comunes, pasando por el deterioro de esta alianza y el surgimiento de la rivalidad en el contexto de la Guerra Fría, hasta la Guerra del Líbano en 2006. Se busca entender los antecedentes de este conflicto, sus impactos estratégicos y sus implicaciones en términos de la amenaza híbrida que ha representado el fortalecimiento de Hezbolá como ejército cuasiestatal con el respaldo de Irán. Pese a no compartir fronteras comunes ni tener, en consecuencia, disputas territoriales, la Guerra del Líbano en 2006 constituyó la primera guerra entre Israel e Irán, y ha sido determinante en la evolución de las amenazas híbridas en la región.
Mathematical induction proofing: Procedural fluency reviewed from the creative thinking level of mathematics students
Authors: Annurwanda Pradipta , Friantini Rizki Nurhana
Published: May 2023

Creativity in performing mathematics proof was assumed to be directed by the procedural fluency. This article examines the procedural fluency in proof based on the students’ creative thinking level of mathematics. Subjects were selected pusposively to join the test and interview as the main instruments. Of the 36 students who took the test, 5 students were selected appropriate at each level of creative thinking skills to be followed with interviews.. The data were analyzed following data condensation, data presentation, and conclusion withdrawal as suggested by Miles, Huberman, and Saldana (2014). The results showed that very creative, creative, and quite creative students could demonstrate procedural fluency because they could use mathematical induction proof procedures correctly and modify the procedure in the correct rules although less creative students lacked completeness in performing mathematical induction proof procedures. Students of the lower creativity groups had less procedural fluency because they were unlikely to understand the use of mathematical induction proof procedures and found difficulties to apply mathematical induction proof procedures properly or even no attempt was made to modify procedures to solve problems.
Meta analysis study: Effectiveness of problem based learning on Indonesian students’ mathematical reasoning ability
Authors: Fitriyah Ihda Mutimmatul , Putro Nur Hidayanto Pancoro Setyo , Apino Ezi
Published: May 2023

Problem-Based Learning has been studied over three decades in various subjects and schools, This meta-analysis study aimed to synthesize the most recent findings of the effect of Problem-Based Learning (PBL), specifically on students’ mathematical reasoning ability. The data were obtained from relevant primary studies published in national and international journals or proceedings during 2014-2021. Ten effect sizes from eight studies that fulfilled the inclusion criteria were analyzed using a systematic review and meta-analysis. JASP 0.15.0.0 software was used to measure the formula of Hedges g to determine the effect size. The result showed that PBL has a strong effect on students’ mathematical reasoning ability (g­­RE = 2.062, 95% CI [1.436, 2.689], p 0.001) when compared to traditional learning. The results of the analysis of moderator variables revealed that publication year (Qb = 5.460, p 0.05) and sampling technique (Qb = 9.032, p 0.05) had significant effect on the effectiveness of PBL on students’ mathematical reasoning ability, while educational levels (Qb = 1.649, p 0.05), sample size (Qb = 2.081, p 0.05) and publication sources (Qb = 0.573, p 0.05) did not show any significant effect. The result of this study provides important information for further meta-analysis study and the implementation of PBL in mathematics learning.
Analysis of the meaning of continuity and differentiation: A study on graph problems
Authors: Ikram Muhammad , Muzaini Muhammad
Published: May 2023

Continuity and differentiability are concepts that students must master to effectively learn and solve problems in a variety of contexts. Thus, this study sought to elicit students' interpretations of the relationship between continuity and differentiability, particularly in graphic problems. Through a qualitative approach, this study involved 195 third-year undergraduate students from various Indonesian universities. Ten of them agreed to an in-depth interview for exploration and clarification. Thematic analysis was conducted to deduce patterns from the responses of participants based on the findings. This study discovered three types of meanings that students construct when they solve problems: 1) physical meaning; 2) analytical meaning, and 3) covariational meaning. The three findings could serve as a conceptual framework for future learning processes that emphasize continuity and differentiability. Additionally, our research revealed that Indonesian undergraduate students are unfamiliar with the graphical problems associated with the two concepts. Thus, future research will focus on developing learning strategies that incorporate a variety of representations to improve students' conceptual understanding of calculus concepts.
Determinant factors of mathematics achievement in online learning during the covid-19 pandemic
Authors: Hamidy Anwaril , Lam Kee-Fui Turner
Published: May 2023

Online learning has become more popular during the Covid-19 pandemic, including in mathematics. However, many educators have raised concerns whether there are critical factors determining the mathematics achievement during online learning. This study examines online learning readiness (OLR), math anxiety (MA), online platforms used in learning (Zoom Meeting and Google Classroom) and gender as determinants of mathematics achievement students in online learning. The participants in this study were 197 students of a private university in Samarinda, Indonesia. Online learning readiness and math anxiety were gathered by means of questionnaires. The questionnaires were deemed valid ( 0.500) and reliable (OLR = 0.903; MA = 0.888) based on Confirmatory Factor Analysis (CFA) and Cronbach’s Alpha respectively. Other variables function as dummy based on the attributes possessed and learning experienced by the participants. The data were analyzed using standard multiple linear regression and multiple linear regression with dummy variables. The results reveal that online learning readiness, math anxiety, online learning platforms and gender had a significant effect on students' mathematics achievement in online learning. In addition, online learning platforms and gender contribute to the difference effect of online learning readiness and math anxiety to mathematics achievement. The results suggest that educators and educational institutions should consider these important aspects to optimize the advantages and effectiveness of online learning.
Comparison of different application of mathematics online learning media in terms of critical thinking skills and learning interest
Authors: Oktapia Penti , Hidayati Kana
Published: May 2023

This study aims to determine: (1) whether students' critical thinking skills taking online learning through WhatsApp Group and learning videos on Facebook are higher on average than those who take online learning through WhatsApp Group and Google Meet. It is (2) whether the learning interest of students who take online learning through WhatsApp Group and learning videos on Facebook is higher on average than students who take online learning through WhatsApp Group and Google Meet. This research was a quasi-experimental research with a posttest-only non-equivalent control group design. All eighth-grade students are considered to be the population at the Masjid Syuhada Integrated Islamic Junior High School Yogyakarta in the 2020/2021 academic year. The research sample was students of class VIII A as the experimental class and class VIII C as the control class. The research instrument was in the form of a critical thinking skills test and student learning interest questionnaires. The hypothesis testing technique used is the Independent Sample T-Test. The study's results showed that the critical thinking skills of students who took online learning through WhatsApp Group and learning videos on Facebook was higher on average than those who took online learning through WhatsApp Group and Google Meet. Furthermore,  the learning interest of students who took online learning through WhatsApp Groups and learning videos on Facebook could be considered the same as students who took online learning through WhatsApp Groups and Google Meet.
Meta-Analysis: The Effect of Discovery Learning Models on Students' Mathematical Ability
Authors: Khairunnisa Khairunnisa , Juandi Dadang
Published: May 2023

This research aims to determine the magnitude of the influence of the discovery learning model on students' mathematical abilities. These included problem-solving skills, critical thinking, understanding, and mathematical reasoning. This study employs a quantitative approach with a Meta-Analysis method. Data collected was from experimental research connected to the application of discovery learning models to the mathematical abilities of elementary, junior high school, and high school students in papers indexed from 2012 to 2021. From the search and study selection results, 48 articles were obtained. The findings found an annual increase in the number of publications, most of which were on mathematical reasoning abilities. Researchers also conducted more research at the junior high school education level, with a sample size of more than 30. Meanwhile, when viewed from the demographic aspect, this study is more located on the island of Java. The application of the discovery learning model to students' mathematical abilities has an overall effect size of 0.815 with the high effect category.
An exploration of ethnomathematics at Sewu Temple in Yogyakarta
Authors: Sulistyowati Dina , Khotimah Rita Pramujiyanti
Published: May 2023

This study explores the elements of mathematics (geometry and arithmetic) in Sewu Temple. As the research is qualitatively discussed, ethnographic design is appropriately implemented with observation, interviews, and documentation for collecting data. The data analysis technique shares four steps; collecting, reducing, presenting, and drawing a conclusion—the validity of the data using triangulation techniques. The results of this study indicate that there are mathematical elements in the shape of the building and the reliefs of Sewu Temple; flat shapes, spatial shapes, geometric transformations, and arithmetic sequences. The existing flat forms include; squares, rectangles, isosceles trapezoids, right trapezoids, circles, triangles, and octagons. Furthermore, blocks, tubes, and rectangular pyramids are included in existing shapes. The geometric transformations are in the form of reflection (mirror), translation (shift), and dilation (multiplication). The results of the ethnomathematical exploration at Sewu Temple can be used as instructional teaching for mathematics in schools, especially in geometry, geometric transformations, and arithmetic sequences.
Factors Affecting Married Women’s Intention to Have a Second Child: Focusing on Reproductive Health Factors
Authors: Oh Shinhwee , Lee So-Young
Published: May 2023

Purpose: This study analyzed factors that influence married women's intentions to have a second child from the perspective of reproductive health in Korea.Methods: The analysis included 332 married women whose first child birth was within the last 3 years from the 2021 National Family and Fertility Survey data. First, the general characteristics of married women was presented through frequency analysis. The differences in the characteristics of married women regarding their intention to have a second child were also analyzed using a chi-square test and independent samples t-test. Second, we analyzed the reproductive health characteristics of married women according to age using a chi-square test. Finally, logistic regression analysis was performed to investigate the effect of married women's reproductive health factors on their intention to have a second child.Results: With various variables controlled, age, infertility, and negative pregnancy experiences had a negative effect on the intention to have a second child, whereas child values and trust in the government had a positive effect. In addition, differences in the reproductive health of married women were found according to age, and the proportions of infertility, negative pregnancy experiences, and preterm birth or low birth weight of the first child were high in elderly married women.Conclusion: To alleviate the low fertility rate in terms of additional childbirth, it is necessary to combine and strengthen not only medical treatment related to women's reproductive health but also psychoemotional counseling as a non-medical treatment, with support from the government.
Can an Increase in Delivery Medical Fees Prevent the Collapse of the Maternity Infrastructure System?
Authors: Ahn Tae Kye , Hwang Jong Yun
Published: May 2023

In an era of low fertility, the maternity infrastructure system has collapsed steeply and the number of obstetrically underserved areas has increased. To improve the maternity infrastructure, the Yoon Suk Yeol administration has announced the introduction of an essential medical support policy centered on introducing an additional delivery medical fee. The core of the essential medical policy for labor and delivery is the addition of regional medical fees, safety policy additional fees, and infectious disease-controll policy additional fees to the existing labor and delivery medical fees. The government's delivery medical additional fees will vary according region, with 200% increase in metropolitan cities, 300% increase in nonmetropolitan cities, and an additional 100% increase in the event of an infectious disease outbreak. After analyzing the government's plan to support additional fees, it is estimated that the total delivery expenses will be increased by Korean won (KRW) 236,619,748,266, and KRW 485,872,173 per maternity hospital. Even though this support plan is expected to help maintain maternity hospitals, this plan has limitations in small maternity hospitals in metropolitan cities and maternity hospitals for high-risk pregnant women. This is because the government's support policy is based on the "medical payment system by action," which is less effective in rural maternity hospitals with fewer deliveries and in training hospitals that mainly treat high-risk pregnant women rather than simple deliveries. Additionally, given the expected decline in the number of births in the future, it is estimated that the total delivery medical fees will steadily decline, as will the income per maternity hospital. To maintain a sustainable maternity infrastructure, it is essential to introduce the medical fees for operating a maternity delivery room that can be maintained, the medical fees for high-risk pregnancies, and various salary and protection support policies for obstetricians and nurses in addition to delivery medical fees.
Employment Experiences of Female Mongolian Migrant Workers in Korea
Authors: Tungalag Saruultuya , Choi Eun Joung , Cho Hyun-Mee , Kang Shina , Lee Minkyung
Published: May 2023

Purpose: The purpose of this study was to understand the employment experiences of female Mongolian migrant workers in Korea and identify their meanings.Methods: Data were collected through individual in-depth interviews with eight such women using the phenomenological Colaizzi qualitative research approach.Results: Six categories were drawn from the research: “Facing a dilemma when hitting the wall,” “Foreigners’ lives disrespected,” “Physically filled with wounds,” “Lonely, laborious, and sad,“ “Growing stronger and knowledgeable,” and “Happiness found in the workplace.”Conclusion: The results of this study revealed the substantial meaning of the employment experience of female Mongolian migrant workers in Korea. The results of the study could provide basic data for offering such women various kinds of programs to support them psychologically and in their adjustment to their jobs. These programs would enhance their ability to adapt to both working and in Korea.
Effects of Systematic Discharge Education Program on Anxiety and Parenting Confidence in Mothers of Premature Infants
Authors: Kim Eunyoung , Jo Aeran , Hwang Meenam , Moon Hyunjin , Jeong Daeun , Jang Myungjin , Lim Choyeon
Published: May 2023

Purpose: This quasi-experimental single group study aimed to confirm the effects of discharge education using a systematic discharge education program on anxiety and parenting confidence in mothers of premature babies.Methods: This study conducted discharge education for 3 to 5 days prior to the discharge of 29 mothers of premature babies born in the neonatal intensive care unit. Data were collected between April 1, 2021, to June 30, 2021, and were examined. The hypotheses were analyzed using the Wilcoxon signed-rank test.Results: Discharge education using a systematic discharge education program was effective in increasing the parenting confidence of mothers with premature babies (z=-3.839, p<0.001). However, it was not effective in reducing anxiety (z=-1.712, p=0.087).Conclusion: The effects of the systematic discharge education program development and discharge education systematized discharge nursing education, reduced mothers’ anxiety in raising premature babies at home after discharge, and contributed to improving parenting confidence.
Effects of e-Health Literacy, Parenting Stress, and Maternal Role Confidence on Children’s Health-Promoting Behaviors in Mothers of Infants and Toddlers
Authors: Park So-Hee , Kim Jeung-Im
Published: May 2023

Purpose: This study aimed to evaluate the effects of e-health literacy, parenting stress, maternal role confidence on children’s health-promoting behaviors in mothers of infants and toddlers.Methods: The participants were 175 mothers of infants and toddlers. Data were collected from August 30 to September 24, 2022. The effects of e-health literacy, parenting stress, and maternal role confidence on children’s health-promoting behaviors in mothers of infants and toddlers were analyzed using multiple regression using IBM SPSS Statistics ver. 27.0.Results: Children’s health-promoting behaviors showed a significant positive relationship with e-health literacy and maternal role confidence, and negative relationship with children’s age and parenting stress. The factors affecting children’s health-promoting behaviors were e-health literacy, maternal role confidence, and children’s age, which explained 30.7% of the total variance in children’s health-promoting behaviors.Conclusion: This study suggests including e-health literacy and maternal role confidence for improving children’s health-promoting behaviors in mothers of infants and toddlers.
Clues to seismic data interpretation within the zones of the sand injections in so called "anomalous section" of the Bazhenovo Black Shales formation on the examples of the Potochnaya, Sporyshevskaya, Vyintoiskaya and Vatinskaya zones
Authors: Gatina Nadezhda , Sarieva Marina , Mukhutdinova Oxana , Popkov Andrey , Gavrilov Sergey
Published: May 2023

The Bazhenovo horizon of Western Siberia has traditionally been one of the objects most studied by geologists and geophysicists in recent decades in Russia. However, along with the more familiar "classical" structure, there are areas where gray-colored inclusions of sandy-silty-clayey deposits are present between the carbonate-clayey-siliceous rocks of the Bazhenovo Black Shales Formation. Such sections geologists call "anomalous". The paper describes the application of the spectral decomposition method for detailing the structure of anomalous sections zones of the Bazhenovo Formation or in another words Giant Sand injection Complex (GSIC) of the Ob river region. Combining the results of dynamic interpretation of 3D seismic data with well logging data for a vast fund of exploration and production wells made it possible to build a seismogeological model of the of the Ob river region GSIC in the Potochnaya area. The clue approach was tested on the Sporyshevskaya and Vyyntoyskaya, Vatinskaya areas, which were much less explored by drilling. The listed zones were formed at different geological times, belong to different regional clinoforms, but have common patterns of structure, which is reflected in the seismogeological model of the Ob river region GSIC. The model describes the distal and proximal parts of the intrusion, which were formed in the Neocomian time, when gravity-driven flows of sandy-silty material injected and spread inside high-bituminous Jurasic Bazhenovo formation Black Shales. Within the proximal part gravity-driven flows were accompanied by slumps of more clayey rocks. The dimensions of these flows and slumps, their location over the area are shown, their mapping in the 3D seismic data is discussed. In this work, we managed to get closer to solving the problem of predicting the development of sandy downward intrusions. There are oil reservoirs in the Ob river region GSIC, but they are insufficiently studied.
Improving Entrepreneurial Satisfaction Through Creativity and Intellectual Agility-Resonance: Evidence from Indonesia
Authors: Panjaitan Roymon , Adam Echan , Hasan Muhammad
Published: May 2023

Entrepreneurship is a personality attribute that enables a person to discover resources passionately through a combination of new strategies to generate significant market value. Therefore, this research aims to examine the importance of the intellectual agility-resonance of businesses in all industrial sectors in Indonesia. Quantitative data were collected from 303 small and medium-sized micro-enterprises and analyzed using SEM-PLS line analysis. The result showed that the intellectual agility-resonance of entrepreneurial creativity increases satisfaction. Furthermore, empirical research on aspects like psychological well-being, financial optimism, job risks, and outcomes show what can be achieved through intellectual agility-resonance. Theoretically, entrepreneurial creativity is an intellectuality that comes from the dimension of the source of competitive excellence.
Potential of Technology-Supported Education for PromotingEquity
Authors:   Assistant Professor, Department of Education, Annamalai University,Annamalainagar, Tamilnadu, India-608002,, S Venkataraman , A Dheivamani ,   Assistant Professor, Government College of Education Gandhi Nagar, Vellore - 632 006 Tamil Nadu, India
Published: May 2023

This paper examines the potential of technology-supported education to promoteequity in education. Technology-supported education has the potential to provideequitable access to quality education, personalize instruction, and create learningopportunities for all students regardless of background. The literature review will examine how technology-supported education can create a more equitableeducational environment.It also considers the challenges and benefits of usingtechnology-supported education in promoting equity, particularly in terms of accessto educational resources. The review concludes that technology-supportededucation has great potential to promote equity in education, however, there are anumber of challenges that must be addressed in order to ensure tha
Ahora a titularme: Recomendaciones prácticas para promover una experiencia exitosa en las opciones de titulación de tesis profesional y actividad de investigación en la Facultad de Medicina Veterinaria y Zootecnia de la UNAM
Authors: Pérez Martínez Mario ,   Facultad de Medicina Veterinaria y Zootecnia, Hernández Espinosa Jorge ,   Facultad de Medicina Veterinaria y Zootecnia, Quiroz Mercado Joaquín Arturo ,   Facultad de Medicina Veterinaria y Zootecnia, Ramírez Castillo Silvia ,   Facultad de Medicina Veterinaria y Zootecnia
Published: May 2023

La principal motivación de escribir este libro fue incentivar en los jóvenes las inquietudes del quehacer científico, ya que la Medicina Veterinaria y Zootecnia es un área de conocimiento apasionante por sus amplias aplicaciones, como son: la biología animal, la preservación de la salud animal y del ser humano, el bienestar de las especies domésticas y silvestres; asimismo, por las positivas repercusiones a lo largo de la cadena productiva para la obtención de productos alimenticios de origen animal para el humano. Así vemos como la contribución del médico veterinario impacta sobre la protección de la salud pública, por lo que es un profesional cuya formación es de corte estrictamente científico. La presente obra fue pensada para alumnos de pregrado, en quienes se busca promover el interés por conocer cómo se desarrolla la investigación científica, a través de una lectura práctica que proporcionará al lector aspectos clave al momento de tomar la decisión en torno a la opción de titulación. Este libro es garante para lograr tal propósito.
Enfermedades parasitarias del conejo doméstico (Oryctolagus cuniculus) y su diagnóstico
Authors: Martínez Castillo Miguel Ángel ,   Facultad de Medicina Veterinaria y Zootecnia, Correa Vargas Gabriela ,   Facultad de Medicina Veterinaria y Zootecnia, Alcalá Canto Yazmín ,   Facultad de Medicina Veterinaria y Zootecnia
Published: May 2023

La presente obra describe las principales parasitosis que afectan al conejo doméstico (protozoarios, helmintos, artrópodos y pentastómidos) alrededor del mundo; con énfasis en las que predominan en México, lo cual permitirá orientar clínicamente a los médicos veterinarios que laboran en las granjas como en los consultorios.
Productividad científica y visibilidad de El Colegio de la Frontera Sur: 26 años de investigación multidisciplinaria en México
Authors: De Jesús-Navarrete Alberto , Gómez-Morales José Santos , Zacarías-de-León Gabriela , Jacobson Brianna
Published: May 2023

La ciencia es una actividad social que debe ser evaluada para determinar su desempeño. El objetivo de este trabajo fue evaluar el desempeño institucional de la productividad científica de ECOSUR utilizando información de la Web of Science (WoS) de 1995 a 2020. Durante este periodo, ECOSUR produjo 3 753 publicaciones, en su mayoría orientadas a las ciencias naturales. Hubo una tendencia creciente en el número de trabajos de investigación producidos durante el periodo de estudio. 2018 fue el año con el mayor número de publicaciones (336 artículos). Un alto porcentaje (>70%) se publicó en inglés, un 26% en español y el resto en otros idiomas. Más del 60% de los artículos fueron publicados en revistas con un factor de impacto (FI) superior a uno. El FI más alto fue de 10.464 pero con pocos artículos. La productividad no fue homogénea: el 38% de los investigadores publicaron más de 50 trabajos de investigación, y muchos otros, menos de 20.
Stock Market Price Prediction
Authors: Deshmukh Tejas , Hume Suraj , Rana Ritesh , Chahande Yash , Kubde Harshal , Pote Charan
Published: May 2023

Abstract: In stock request valuation, the end is to prognosticate the unborn value of the fiscal stocks of a company. Machine learning itself employs different models to make vaccinating easier and more authentic. The paper focuses on the use of retrogression and LSTM-grounded machine literacy to prognosticate stock values. stock request valuation, the end is to prognosticate the unborn value of the fiscal stocks of a company. Machine learning itself employs different models to make vaticination easier and further authentic. The paper focuses on the use of retrogression and LSTM-grounded machine literacv accinatingsticate stock mores
A Survey Paper on Traffic Prediction Using Machine Learning
Authors: Srivastava Aditya , Aryan  , Khurana Milan
Published: May 2023

Abstract: Traffic flow prediction is an essential tool for traffic management, which can assist traffic operators in making informed decisions for traffic control and management. Accurate traffic flow prediction can also help commuters to plan their journeys efficiently and reduce travel time. The use of Support Vector Regression algorithm for traffic flow prediction has shown promising results in various studies, and it can be used to predict traffic flow at different time intervals, such as hourly, daily, weekly, or even yearly. Additionally, the application of machine learning and artificial intelligence techniques can further enhance the accuracy of traffic flow prediction, which can lead to more effective traffic management strategies
Representações como Potência: Da Trama Verde e Azul às outras Tramas na Região Metropolitana do Vale do Paraíba e Litoral Norte, São Paulo
Authors: Anazawa Tathiane Mayumi , Monteiro Antonio Miguel Vieira
Published: May 2023

O Estatuto da Metrópole fortaleceu a necessidade de um olhar territorial para o planejamento, demandando novas formas de governança que definem novas responsabilidades nos processos para tomadas de decisão. O planejamento territorial metropolitano necessita de novas cartografias. Este trabalho apresenta uma nova matriz conceitual para uma adaptação da Trama Verde e Azul (TVA) considerando o contexto da Região Metropolitana do Vale do Paraíba e Litoral Norte (RMVPLN), no estado de São Paulo. A TVA, (re)posicionada para a RMVPLN, passa a ser entendida e expressa enquanto um conjunto de Tramas (Multitramas), projetadas nos territórios, por meio de representações cartográficas, que exploram os relacionamentos entrelaçados entre três diferentes dimensões envolvidas na constituição histórico-geográfica e econômica da atual metrópole.  A projeção destas tramas, como um conjunto de representações gráficas com expressão territorial, é denominada por Cartografias de Potência. Esta nova cartografia metropolitana revela conexões e relações, que possibilitam narrativas alternativas, dentro do planejamento territorial metropolitano, para as estratégias de desenvolvimento dos territórios em disputa.