bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reframing Knowledge Capital Theory: A Critical Realist Approach Using Rosetta Stone and Harmonized Learning Outcomes Datasets - A Comparative Analysis
Authors: Williams Daniel Grant , Coates Adam 
Published: August 2024

Abstract

Knowledge Capital Theory (KCT) posits a causal link between educational outcomes and economic growth. This study critically examines KCT through a Critical Realist (CR) lens, leveraging two novel datasets: Rosetta Stone and Harmonized Learning Outcomes (HLO). These datasets offer a more comprehensive view of educational performance across diverse global contexts, addressing limitations in data and methods currently used in International Large-Scale Assessments (ILSAs).
The study employs an updated Abductive Theory of Science Method (ATOM) framework within a CR perspective, combining quantitative analysis with qualitative inquiry to discuss underlying mechanisms and contextual factors influencing the education-economy relationship.
Analysis reveals a complex picture of KCT's empirical and theoretical status. Regression models with the conditioned Rosetta and HLO data produced R² values of 0.43 and 0.21 respectively, indicating a significant relationship between cognitive skills and economic growth. However, a logarithmic model for the HLO data yielded a higher R² of 0.389 compared to 0.211 using linear conditioning, challenging KCT's linear assumptions.
The study identified several atypical countries, suggesting the influence of factors such as resource-dependent economies, industry concentration, and economic instability. While providing support for KCT's core claims across a broader range of countries than previous research, these findings highlight the need for more nuanced interpretations.
This research raises fundamental questions about applying Lakatosian concepts in social sciences, suggesting a reinterpretation of Lakatos' framework as a heuristic tool rather than a strict evaluative criterion in open social systems. It proposes a dual approach in educational economics: pursuing empirical progressiveness while developing more sophisticated theoretical models that accommodate open systems' complexities.
By incorporating CR and ATOM, the study provides a methodological framework for future ILSA research that better accounts for the multifaceted nature of educational outcomes and their economic impacts. This approach offers policymakers contextually relevant insights for developing effective educational policy, while giving researchers tools for more comprehensive analyses of the education-economy relationship.
The findings have implications for educational policy, particularly regarding Sustainable Development Goal 4, highlighting the need for context-sensitive approaches to education reform that consider the complex interplay of factors influencing the education-economy relationship.
Dynamic Modeling and Control of a Novel Overrunning Clutch Shift-Assistant Transmission for Wind Turbines
Authors: Geng Zhi , Zhu Wenmin 
Published: August 2024

Abstract

A novel automatic transmission that achieves power-on shifting with only one friction clutch, i.e., an overrunning clutch shift-assistant transmission (OCT) is developed for wind turbines. This transmission realizes continuous shifting by alternating power transfer between a friction clutch and an overrunning clutch. To study the shift smoothness of this automatic transmission, a six-degree-of-freedom dynamic model of a two-speed transmission was established. A coordinated control strategy for the clutch and power source during shifting was proposed, and simulation and test bench studies were conducted. The results show that the proposed upshift and downshift control strategies can effectively reduce shift impact, keeping the jerk during shifting within 10 m/s3.
Can Systemic Immune Inflammatory Index Predict Nosocomial Infection in Term Newborns who Underwent Congenital Cardiac Surgery?
Authors: sağlam selin , ozturk erkut , ozalp serife , tanıdır ibrahim cansaran , özcan funda gümüş , Hatemi Ali Can 
Published: August 2024

Abstract

Background: In this study, the aim was to investigate the contribution of early-stage systemic immune inflammatory index(SII) and acute phase reactants to predict nosocomial infections in term newborns who underwent congenital heart surgery.
Methods: This study was carried out retrospectively in newborns who were followed up in the pediatric cardiac intensive care unit between November 1, 2021 and December 1, 2022 and had had cardiac surgery. Demographic and clinical features, changes in systemic inflammatory index (platelet count x neutrophil count/lymphocyte count) and acute phase reactants in the preoperative and postoperative first 72 hours were evaluated in patients with or without nosocomial infection.The results were analyzed statistically.
Results: During the study period, cardiac surgery was performed in 160 neonates. Median age was 10 days(IQR 6 days -15 days) and median weight was 3 kg(IQR 2.8 kg -3.2 kg).Eighty of the patients were male(50%).55 different nosocomial infections were detected in 44 patients(27.5%). Bloodstream infections were the most common with 62%, followed by lower respiratory tract infections in 23% and wound infections in 15%.Mortality due to nosocomial infection was determined as 34%.SII and NLR values measured on the 2nd and 3rd postoperative days were significantly higher in patients with nosocomial infection (p< 0.05). SII value >510((72% specificity 85% sensitivity) on postoperative 2nd day and SII >730(72% specificity 80% sensitivity) on postoperative 3rd day were predicting nosocomial infection strongly.
Conclusion: Nosocomial infections are an important cause of mortality and morbidity in newborns with congenital heart surgery. Easy-to-use systemic inflammatory index measurement can help to predict nosocomial infections.
Sex Differences in Cognitive Performance Persist into Your 80s
Authors: Julian Ross , Fröhlich Stephanie , Müller Katrin , Dammhahn Melanie , Voelcker-Rehage Claudia 
Published: August 2024

Abstract

Background Sex differences in cognitive performance have been extensively documented. Understanding the underlying factors contributing to sex differences in older adults is imperative to promote healthy cognitive ageing. Sex hormones, estrogens, and testosterone have been suggested to be associated with cognition. Nevertheless, there is a scarcity of studies investigating the sex difference in cognitive performance and the contribution of gonadal hormones in older adults. Hence, the current study aimed to investigate sex differences in cognitive performance and elucidate the association between gonadal hormones and cognitive performance in 80+-year-olds.Methods Using confirmatory factor analysis in a sample of 131 older adults (aged 80 to 92 years), 17 cognitive performance measures were divided into two cognitive components: executive functioning and memory. Subsequently, mediation analyses were conducted to determine the direct effect of sex and the indirect effect mediated by gonadal hormones on executive functioning and memory.Results Females outperformed males in executive functioning and memory. However, gonadal hormones did not mediate the sex effect on cognitive performance. Interestingly, estrogen significantly predicted executive functioning but not memory. Testosterone was not found to predict either executive functioning or memory.Conclusion Our study confirms enduring sex differences in memory and executive function, even among individuals aged 80 and above. Current gonadal hormone levels do not mediate these differences. While estrogen may predict executive function, its influence does not explain the sex differences. These findings underscore the complex nature of cognitive disparities between sexes in older age, warranting further investigation into underlying mechanisms.
Verifying an improved intermittent water distribution network analysis method based on EPA-SWMM
Authors: Sarisen Dondu , Farmani Raziyeh , Watkins David W. , Barkdoll Brian D. , Rivers Brian W. , Zhang Chao , Memon Fayyaz Ali 
Published: August 2024

ABSTRACT

Modelling Intermittent Water Supply (IWS) presents challenges, as traditional hydraulic methods based on EPANET are often inadequate due to their inability to simulate the network filling process. While EPA-SWMM (EPA's Storm Water Management Model)-based methods enhance IWS analysis, they remain network-specific and lack universal applicability. This study aims to calibrate and verify an improved EPA-SWMM-based model on a 6 m × 5 m laboratory-scale IWS. Experiments were conducted to capture flow rate data from demand nodes under various conditions. The EPA-SWMM model, based on uncontrolled outlets with flow rate varying by pressure, was calibrated using, an automated procedure that integrated the Genetic Algorithm (GA) into the SWMM-toolkit for optimizing minor loss and pipe roughness coefficients. Comparing model results with experimental data demonstrated the model's capability to simulate the laboratory-scale IWS system behaviour. The model was also applied to a real case study, with results closely aligning with field data, affirming its reliability. The proposed IWS modelling method offers a versatile tool for applications, such as design and scenario analysis for tackling IWS challenges and managing IWS systems. Future research should focus on a large-scale laboratory experiment with pressure and flow sensors, considering air presence in the network to mitigate errors.
Menos conferencias, más experiencias
Authors: Arrieta Mauricio , Maestre Marla , Villegas Edgar , Aguas Roberto 
Published: August 2024

Menos conferencias, más experiencias es una invitación a transformar la educación superior, reduciendo e intercalando las conferencias magistrales de clase, con actividades conversacionales y participativas. Este libro declara que las experiencias educativas deben ser activas para mejorar la retención de conocimientos y el desarrollo de habilidades críticas en los estudiantes, y que el docente no será un actor invisible. Presenta un modelo educativo innovador que integra un marco conversacional de aprendizaje con principios de diseño como el procesamiento profundo, los 4 bocados y la priorización, con el fin de crear entornos de aprendizaje más dinámicos y efectivos. A través de ejemplos prácticos y reflexión permanente, el texto guía a los educadores en el diseño de experiencias educativas, alineadas con los resultados y evidencias de aprendizaje deseados. Aprovecha, además, la revolución de la tecnología digital en la producción educativa. Con un enfoque que reconoce el rol cocreador de docentes y estudiantes, Menos conferencias, más experiencias desafía a los educadores a repensar su papel, animándolos a adoptar un rol de codiseñador que promueva la curiosidad y la producción reflexiva en aprendizajes más significativos.
MAPEAMENTO E VISUALIZAÇÃO DE REDES DE CONHECIMENTO NO DOMÍNIO SECA E SEMIÁRIDO
Authors: Cavalcanti I Rodriggo Leopoldino , Sánchez-Tarragó Nancy , Santos Raimundo Nonato Macedo Dos 
Published: August 2024

Esta pesquisa parte do pressuposto de que o Núcleo Temático da Seca e Semiárido do Rio Grande do Norte (NUT-Seca) da Universidade Federal do Rio Grande do Norte pode se recolocar como agente ativo da produção, gestão e disseminação de conhecimento no domínio da Seca e Semiárido. Para tanto, a pesquisa objetiva realizar o mapeamento e visualização de redes de conhecimento no domínio. Utiliza-se como enfoque metodológico a Análise de Domínio, ao qual se juntam as técnicas bibliométricas, de Análise de Redes Sociais e ferramentas de visualização da informação. Como fontes de dados adotou-se a base de dados Scopus e o Diretório dos Grupos de Pesquisa do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Foram mapeadas, entre outras, redes de coautoria, de cocitação, acoplamento bibliográfico e de grupos de pesquisa. As análises permitiram o mapeamento tanto em nível macro (da rede como um todo) quanto em nível micro (atores individuais), descrevendo, por exemplo, os componentes corporizados em documentos, atores e suas relações. Foi possível também constatar a existência de redes informais, a exemplo das redes de coautoria, e de redes formalizadas em grupos de pesquisa cadastrados no CNPq. Como resultado deste mapeamento poderão ser propostas ferramentas e práticas de gestão do conhecimento ao NUT-Seca, assim como serviços de informação que servirão como subsídios importantes para o estreitamento de laços de colaboração e de compartilhamento de conhecimento entre os atores envolvidos e o fortalecimento das pesquisas no domínio da Seca e Semiárido
Impact of Artificial Intelligence on Drug Development and Delivery
Authors: Aundhia Chintan , Parmar Ghanshyam , Talele Chitrali , Shah Niyati , Talele Dipali 
Published: August 2024

Abstract:
This review explores the transformative impact of AI on drug development and delivery
in pharmaceutical sciences, spanning formulation design, real-time monitoring, targeted delivery,
and future prospects. The rational design of smart drug carriers, such as AI-optimized liposomes
for cancer therapy, optimizes formulations for individual patient needs. AI-driven sensors,
exemplified by glucose-monitoring biosensors for diabetics, enable adaptive drug administration,
enhancing precision. Despite promises, challenges like biocompatibility, regulations, and ethics
persist. Interdisciplinary collaboration and transparent communication are crucial for responsible
AI adoption. Anticipated trends include personalized dosage optimization and intelligent nanocarriers.
The review underscores AI's potential in reshaping pharmaceuticals for patient-centric care
while addressing challenges for widespread adoption.
Antidepressant Properties of a Four-compound Cocktail Identified from Si-Ni-San by HIF-1 Pathway Modulation
Authors: An Na , Zhang Dongxing , Xin Jile , Zhang Xinyi , Zhang Zhijuan , Ma Ligang , Zhao Le , Wu Huimin , Feng Weisheng , Zheng Xiaoke 
Published: August 2024

Background:
Si-Ni-San (SNS) is the formula prescription of Traditional Chinese
Medicine (TCM) with anti-depression properties, but its underlying mechanisms remain unclear.

Objective:
This study provides novel approaches for the study of Traditional Chinese Medicine
(TCM) and offers new opportunities for exploring the pharmacological properties of SNS.

Methods:
The ingredients in SNS implicated in the treatment of depression were identified and
studied using network pharmacology. SwissTargetPrediction and molecular docking were used
to study the interaction of SNS ingredients and their targets. The protective effect of these ingredients
and their cocktail in rat pheochromocytoma cells (PC12) exposed to corticosterone
(Cor) were evaluated using the CCK-8 assay, Hoechst 33342 staining, 2',7'-dichlorodihydro
fluorescein diacetate (H2DCFDA) staining, 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging
assay, and in-cell Western analysis.

Results:
The network pharmacology study showed that the HIF-1 signaling pathway was the
most crucial pathway implicated in the anti-depressive property of SNS. MAPK1 (ERK2),
MAPK3 (ERK1), AKT1, VEGFA, STAT3, and EGF were identified as hub target proteins in
the HIF-1 signaling pathway. Quercetin, naringenin, licochalcone A, and kaempferol from SNS,
which targeted the six proteins mentioned above, were used to create a cocktail. This cocktail
exerted protective properties, decreased the oxidative stress in PC12 exposed to Cor, and successfully
regulated the expressions of AKT1, p-AKT1, ERK1, ERK2, p-ERK1/2, STAT3, p-
STAT3, and VEGFA induced by Cor exposure. The SwissTargetPrediction and molecular docking
study showed that the cocktail may regulate the HIF-1 signaling pathway by directly binding
with AKT1 and MAPK1.

Conclusion:
The cocktail from SNS comprised of quercetin, naringenin, licochalcone A, and
kaempferol exerts anti-depression potentiality by modulating the HIF-1 signaling pathway via
direct interactions with AKT1 and MAPK1.
Analysis of Free Vibration Properties of Smart Functionally Graded Porous Beam
Authors: Vikrant Rohit , Sarangi Saroj Kumar 
Published: August 2024

Aim:
The main purpose of this research work is to examine the free vibration performance
of a Smart Functionally Graded (SFG) porous composite beam having non-uniform porosity
distribution (PD) with non-linear elastic moduli and mass density along the direction of thickness
considering symmetric as well as asymmetric PD. This research work addresses the lack of literature
regarding the analysis and the effect of variation of the slenderness Ratio (SR), Porosity Coefficient
(PC), and Voltage levels on the free vibration properties of the SFG porous beam considering
different boundary conditions and porosity distribution.

Background:
The Smart Functionally Graded (SFG) porous beam is a Functionally Graded (FG)
Porous beam integrated with the PZT-4 piezoelectric material on the top layer. The free vibration
properties of the considered beam have been examined and analyzed using the ANSYS software.

Objective:
The objectives of this work are:-
To analyze the impact of variations of voltage levels and slenderness ratios on the free vibration
properties of the SFG beam.
To showcase the effect of variation in the porosity coefficient on the dimensionless fundamental
frequencies of the SFG considering 4 boundary conditions at different porosity distributions and
voltage levels.

Method:
The research work studies and analyzes the performance of the SFG porous beam considering
the equations of Timoshenko beam theory. To simulate the results and analyze the various
effects, the ANSYS software has been utilized in this paper.

Results:
Experimental data demonstrates that:
(1) Among all 4 boundary conditions considered in this research work, C-C has the highest natural
frequency while C-F gives the lowest value of natural frequency.
(2) An increase in PC causes an increase in DFF of SFG beams with PD1 whereas it decreases for
beams with PD2.
(3) As the SR of the beam increases, the DFF of the beams with both PD1 and PD2 decreases for
both voltage levels V=20V and V=100 V.
(4) The natural frequency of the SFG beam increases as the voltage level is increased from 20V to
100V.

Conclusion:
The free vibration of the SFG porous beam (made up of PZT-4 piezoelectric material)
has been examined and analyzed using the ANSYS software. Various results were obtained from
the simulation and these have been showcased in different Tables and Figures. The performance of
the considered SFG porous beam has been investigated for 2 different Porosity Distributions (PD1
and PD2) by varying PC and SR.

Others:
This research work also analyzes the impact of variation of PC, voltage levels, and SR on
the free vibration properties of the SFG beam.
Factors Influencing the Occurrence of Preeclampsia in Pregnant Women at Primary Care Clinic
Authors: Andoko Dewanto , Hendrik Hendrik , Moningkey Shirley , Soeryani R Wianti , Sungono Veli 
Published: August 2024

Background: Preeclampsia is a common medical complication during pregnancy, affecting approximately 5-15% of all pregnancies. This research aims to identify factors influencing the occurrence of preeclampsia at a Primary care clinic in Bandar Selamat, Tembung, Medan, in the year 2023. Method: This study adopts a cross-sectional approach, involving pregnant women with a gestational age of ≥20 weeks who visited the primary care clinic in Bandar Selamat, Tembung, Medan, from July to December 2023. A total of 37 respondents were sampled using convenience sampling. The dependent variable was the occurrence of preeclampsia, while independent variables included age, parity, medical history, calcium supplementation, and employment history. Multivariate analysis was conducted using SPSS version 23. Result: 16.8% of the respondents experienced preeclampsia. Additionally, 21.6% were in the unhealthy reproductive age group, 72.9% were primigravida, 13.5% had a medical history, 43.2% had poor calcium supplementation, and 40.5% were employed. Multivariate analysis revealed that Age (P-value: 0.044, OR: 24.5, 95% CI: 1.082 - 556.407), Parity (P-value: 0.252, OR: 4.926, 95% CI: 0.32 - 75.4), History of Chronic Disease (P-value: 0.32, OR: 40.484, 95% CI: 1.37 - 1196.2), Calcium Supplementation (P-value: 0.167, OR: 11.582, 95% CI: 0.3 - 374.8), and Employment Status (P-value: 0.679, OR: 1.849, 95% CI: 0.1 - 33.87) are associated with preeclampsia. Conclusion: There is a significant relationship between age, parity, history of chronic disease, and the occurrence of preeclampsia in pregnant women at the primary care clinic in Bandar Selamat, Tembung, Medan. History of Chronic Disease is the most influential variable (OR: 40.484).
Consideration of the factors influencing the process of teaching Iranian students to translate from Persian into Russian based on a questionnaire filled out by teachers
Authors: Захраи М. , Голами Х. 
Published: August 2024

В данной статье анализируются факторы, влияющие на процесс обучения иранских студентов письменному переводу с персидского языка на русский язык на основе анкеты, заполняемой преподавателями. В исследовании были выявлены такие факторы, как уровень знания русского и персидского языка, мотивация и уровень образования студентов, наличие опыта работы переводчиком, а также специальных знаний в области перевода, использование различных методик обучения.
This article analyzes the factors influencing the process of teaching Iranian students to translate from Persian into Russian on the basis of a questionnaire filled out by teachers. The study identified such factors as the level of knowledge of the Russian language and Persian, the motivation of students, the level of students’ education, the experience of working as an interpreter, the students' special knowledge in the field of translation, the use of various teaching methods.
Implementation of A Traceability System for Canned Fish Products using The FMECA Approach
Authors: Berliana Jihan Nisrinah , Hariono Budi 
Published: August 2024

PT. XYZ is a company that operating in the canned fish processing sector. In implementing the traceability system, traceback product still experiences obstacles so it cannot be implemented properly in the Company. This research was conducted to determine the traceability critical point which is a weakness of the traceability system being implemented. The method used is the FMECA (Failure Modes, Effects, and Criticality Analysis) approach, which is a development of the FMEA (Failure Mode Effect Analysis) method with the inclusion of the CA (Criticality Analysis) method to evaluate the effective level and efficiency of the traceability system being implemented. The results of the analysis showed that 43 possible failure points were identified, of which 2 points were in the unacceptable area, 3 points were in the undesirable area, 12 points were in the acceptable with revision area, and 26 points were in the acceptable without revision area. Traceability of canned fish products at fish canning companies has been going well with 5 critical points of traceability, namely the absence of information on the origin of the fish, not providing special coding for each fish received, not carrying out microbiological testing on the fish received, each fish received is not differentiated. The storage location is between each supplier, and no special records are made at the draining stage. Keywords: Critical analysis, Failure, FMECA, Traceability, Quality assurance.