bluuebunny/crossref_metadata_2025 huggingface dataset:
Patient and provider perspectives on pain and other dimensions of anesthesia experience for cesarean delivery: A qualitative study
Authors: Park Yunseo Linda , Clifton Briana , Ashraf Rida , Barlow Rose , Anderson Alexandra , Altamirano Valeria , Miller Emily , Neuman Mark , Lim Grace
Published: August 2024

Background: There is a lack of evidence on the importance of pain or other aspects of clinical care in the overall patient experience and patient-centered outcomes in cesarean delivery. The purpose of this study was to discover patient priorities in cesarean delivery anesthesia experience, to compare patient and provider perspectives, and to explore attitudes on shared decision-making around anesthesia choices for cesarean delivery.
Methods: Patients with recent cesarean deliveries and clinical care providers were approached using a purposeful sampling strategy for this prospective observational qualitative study. Patients were included if they were in the hospital within 72 hours of a cesarean delivery (scheduled or unscheduled), spoke English fluently, and had term gestation. Providers were included if they currently provide regular clinical care to patients having cesarean deliveries and have at least 3 years of practice experience. Semi-structured interviews were conducted using an interview guide. Interview transcripts were independently coded by three coders and qualitatively analyzed for major themes until thematic saturation was achieved.
Results: A total of 42 participants (20 patients and 22 providers) completed interviews. Five major themes emerged reflecting patient attitudes and beliefs toward cesarean delivery experience: 1) effective communication, education, and respect; 2) emotional support by care team; 3) intraoperative pain or discomfort; 4) varying acceptability around pain therapies; 5) stigma surrounding cesarean delivery. Five major themes emerged reflecting provider attitudes and beliefs toward cesarean delivery priorities: 1) complexity of pain responses; 2) multiple pain control strategies; 3) effective communication during emergency cesarean delivery; 4) patient psychological well-being during cesarean delivery; 5) barriers to observing the patients’ birth plans.
Conclusions: Patients and providers alike prioritize pain management, psychological well-being, and effective communication during cesarean delivery experiences. Patients emphasize relationships and trust in their cesarean experience, while clinicians emphasize clinical complexities and physical treatments. Our results guide future research in patient perspectives in cesarean deliveries.
Quantitative serum proteomic analysis for biomarker discovery in post-COVID-19 Postural Orthostatic Tachycardia Syndrome (PC-POTS) patients
Authors: Ryu Taekyung , Adler Brit , Jeong Seeun Judy , Lee David C. , Hoke Ahmet , Na Chan-Hyun , Chung Tae Hwan
Published: August 2024

Postural orthostatic tachycardia syndrome (POTS) is a chronic, debilitating condition that is characterized by an excessive increase in heart rate upon orthostatic challenge. Before the COVID-19 pandemic, POTS affected 0.5% to 1% of the U.S. population. Since the pandemic, the incidence has risen sharply, adding an estimated 6-7 million new cases in the U.S. Despite its importance, there is currently no reliable biomarker for POTS, leading to significant diagnostic delays. A major hurdle in identifying biomarkers is the heterogeneous nature of the syndrome. To address this, we focused on a homogeneous subgroup of post-COVID-19 POTS (PC-POTS) patients. We conducted quantitative proteomics on sera from 9 PC-POTS patients and 9 healthy controls, identifying 31 proteins with significantly different abundances in PC-POTS patients. Most elevated proteins were linked to actin filaments or immune functions/inflammation. Weighted Gene Co-Expression Network Analysis revealed module 7 (M7) correlated strongly with PC-POTS diagnosis and related traits. The key proteins in M7 included MTPN, TAGLN2, ADP-ribosylation factor 1, PDLIM1, PPIA, CNN2, LGALSL, TXN, TLN1, TUBA4A, IL4, TREML1, GP1BA, and, all highly correlated with these traits. Cell-type enrichment analysis revealed that M7 was highly associated with immune and neuronal cells. The main pathways identified in M7 included the integrin signaling pathway, blood coagulation, and glycolysis. These findings suggest that the key proteins in M7 could serve as biomarkers for PC-POTS. This study uses quantitative proteomics to identify potential biomarkers that differentiate PC-POTS patients from healthy controls, establishing a foundation for further research and validation.
Decoding the Genetic Comorbidity Network of Alzheimer's Disease
Authors: Zhang Xueli , Li Dantong , Ye Siting , Liu Shunming , Ma Shuo , Li Min , Peng Qiliang , Hu Lianting , Shang Xianwen , He Mingguang , Zhang Lei
Published: August 2024

Alzheimer's disease (AD) has emerged as the most prevalent and complex neurodegenerative disorder among the elderly population. However, the genetic comorbidity etiology for AD remains poorly understood. In this study, we conducted pleiotropic analysis for 41 AD phenotypic comorbidities, identifying ten genetic comorbidities with 16 pleiotropy genes associated with AD. Through biological functional and network analysis, we elucidated the molecular and functional landscape of AD genetic comorbidities. Furthermore, leveraging the pleiotropic genes and reported biomarkers for AD genetic comorbidities, we identified 50 potential biomarkers for AD diagnosis. Our findings deepen the understanding of the occurrence of AD genetic comorbidities and provide new insights for the search for AD diagnostic markers.
Cross-country inequalities in global burden of gastrointestinal cancers: a slope and concentration index methods
Authors: Zhou Haoyun , Wang Yongbo , Wang Fang , Meng Runtang , Yu Yong , Han Su , Zhang Yu , Wu Yu , Liu Xiaoxue
Published: August 2024

Purpose
To explore cross-country inequalities in global disease burdens of colon and rectum cancer (CRC), esophageal cancer (EC) and gastric cancer (GC).
Methods
Data from the Global Burden of Diseases Study 2019 were analyzed to examine trends in disability-adjusted life-years (DALYs) for three cancers using Estimated Annual Percentage Change (EAPC) and Joinpoint analysis. Inequality in DALYs rates was assessed with the Slope Index of Inequality and the Concentration Index, based on the Socio-Demographic Index (SDI).
Results
From 1990 to 2019, age standardized DALYs rate of CRC decreased in high and high-middle SDI regions, with the EAPC values of -1.018 and − 0.161, but increased among low, low-middle and middle SDI regions (EAPC = 1.035, 0.926 and 0.406, respectively). The DALYs rates of EC and GC decreased in all SDI regions. For CRC, the slope index changed from 358.42 (95% confidence interval: 343.28 to 370.49) to 245.13 (217.47 to 271.24); from − 63.88 (-87.48 to -48.28) to -1.36 (-32.44 to 25.87) for EC; from 126.37 (101.97 to 146.47) to 58.04 (20.54 to 96.12) for GC. The concentration index for CRC moved from 29.56 (28.99 to 29.84) to 23.90 (23.19 to 24.26); from − 9.47 (-10.30 to -9.24) to -14.64 (-15.35 to -14.24) for EC; from 8.44 (7.85 to 8.72) to -6.42 (-7.65 to -6.12) for GC.
Conclusion
This study suggests strong heterogeneity in global DALYs for gastrointestinal cancers across different SDI regions. Higher SDI regions faced a greater burden of CRC, while the burdens of EC and GC were more prevalent in lower SDI regions.
Priority of factors affecting the implementation of vaginal birth after Cesarean in Isfahan based on Talbot and Verrinder model
Authors: Jahani Zahra , Valiani Mahboubeh , Mansourian Marjan , Zafaranzadeh Nahid
Published: August 2024

Introduction: Today, Cesarean section, as a normal surgical procedure, is accompanied by maternal and fetal complications. The most common reason mentioned for high cesarean section rates is the repeat Cesarean section. Vaginal birth after Cesarean (VBAC) is an alternative to repeat Cesarean section. The first step to investigate VBAC status and plan to improve it in Isfahan city is to know and prioritize the attitude of key individuals.
Method: This cross-sectional study is a multi-method study (April, 2023 to August, 2023) conducted in Isfahan with participation of 75 Health Managers in the field of Treatment and Health Deputy, gynecologists and midwives, and 75 pregnant women. The eligible women were selected using a quota sampling method, and managers, gynecologists and midwives were selected using a convenience sampling method. Research instruments included the Attitude towards the Mode of Delivery Questionnaire and Factors Affecting the Choice of Type of Delivery Questionnaire developed by Valiani et al. The collected data were analyzed with SPSS software version 26.00 and using descriptive statistics and t-test Statistical tests.
Findings: As the gynecologists achieved lower scores in the third quartile than the key individuals (pregnant women, midwives, and health managers), the interventions to change their attitudes are of higher priority. There was a statistically significant relationship between the mothers' attitude mean score and their number of child delivery (p<0.05). A statistically significant relationship was also observed between the gynecologists' attitudes and their work experience (p<0.05).
Conclusion: Although teamwork in performing VBAC is essential, mothers are the final decision makers in performing VBAC. In planning for VBAC, measures thus should be taken to change mothers' attitudes, remove barriers, and obtain their consent to perform VBAC guidelines.
Interpreting Weekly External Load in Professional Soccer: A Position-Based and Context-Driven Approach for the “Real World” Setting
Authors: Gonçalves Luiz Guilherme , Silva Rui Miguel , Moraes-Neto Maxwell Viana , Pasquarelli Bruno , Pastor Alejandro , Leitão Rodrigo Aparecido Azevedo , Augusto Diêgo , Vasconcellos Fabrício , Aquino Rodrigo
Published: August 2024

Purpose
This study analyzed the weekly external load of professional soccer players with two main aims: 1) to describe the external load based on match-contextual difficulty and playing position; 2) to compare the external load in contexts of low and high match-contextual difficulty.
Methods
Eighteen professional soccer players were monitored over 13 weeks using GPS units and accelerometers. Players participating for at least 60 minutes in non-congested weeks were analyzed for total distance, distances covered at various speeds and acceleration levels, and Player Load. Match difficulties were categorized as "high" (score > 10) or "low" (score ≤ 10) and determined using match location and quality of opposition.
Results
The results revealed that the highest external loads occurred mid-week, decreasing towards the week's end, with external defenders and midfielders facing higher demands than central defenders and forwards. In low-difficulty scenarios (p < 0.001–0.030), external loads were higher than in high-difficulty scenarios, particularly on days preceding a match (MD-4 to MD-2). Conversely, high-difficulty matches increased distance and mechanical work on specific days (MD-3 and MD-1) (p < 0.001–0.020).
Conclusion
The findings suggest that external load varies significantly with match context, offering valuable insights for tailoring training loads according to position and upcoming match difficulty.
Design and Implementation of Electronic Sub-systems for the STAJe- Phase 1 Payload
Authors: Shelar Sampada Vijay , Paull Allan
Published: August 2024

STAJe- Phase 1 is a University of Queensland flight program that implements cost effective commercially off-the-shelf (COTS) hardware component which aims to demonstrate high speed (Mach 3–5) electric propulsions. This paper concentrates on the design and manufacturing of customable printed circuit boards which are required to integrate with the mechanical design. It is an example of interdisciplinary collaboration made simple by using modern design and manufacturing approaches. These approaches also allow for rapid manufacturing and ground testing of the system. The functionality and challenges with the mechanical interfaces of each electronic sub-system for STAJe- Phase 1 payload is discussed within a framework of predefined scientific requirements.
Human Action Recognition Network Containing Hands Based on NPoseC3D59
Authors: Li Rui , Yang Wanjin , Yang Shiqiang , Liu Xutao , Zeng Xin , Wang Jiaxiang
Published: August 2024

\abstract{With the intelligent development of machinery manufacturing, the importance of human-computer interaction has become more prominent, and recognizing human actions is a prerequisite for realizing the intelligence of human-computer interaction. Human limbs and subtle hand movements contain rich communication information, and combining the two in research can more accurately capture human behavior and understand human intentions. PoseC3D-based human action recognition models are favored for their excellent performance and low parameter count and can be friendly to add the key point model of the hand on top of only the body torso. Therefore, in this study, the NPoseC3D human action recognition model is constructed and a human action recognition dataset containing the hand is built for effect validation. Firstly, to improve the recognition accuracy, the ReLU activation function layer, the BN layer, and the downsampling method in the original SlowOnly backbone are adjusted to retain more and more active information, and trained on the NTU RGB+D 60 publicly available dataset for validation, and the recognition accuracy is improved. Secondly, because there is no publicly available dataset containing hands, Whole59, an action recognition dataset containing hand gestures in industrial scenarios, is labeled, and 42 hand keypoint inputs are added to the NPoseC3D model, and trained and tested on the Whole59 dataset, to obtain a human action recognition NPoseC3D59 model containing hand, and the experimental results prove the effectiveness of the proposed method in this research.
The Symmetric Relationship Between Natural Gas Consumption and sustainable Economic Growth in Saudi Arabia
Authors: Alzyadat Jumah Ahmad.
Published: August 2024

This paper attempts to investigate the symmetric relationship between natural gas consumption and economic growth in Saudi Arabia over the period 1990–2021 by extending the production function including capital, labor, external trade, and financial development. The study applied the autoregressive distributed lag (ARDL) technique. The result of Granger causality test indicates a causal relationship from NGC to RGDP, i.e. the results supported the growth hypothesis in KSA which is known in the literature as energy consumption-led growth hypothesis. The short- and long-run results also supported the growth hypothesis that NGC contributes to economic growth. The result also showed that the accumulation of capital, labor force, and economic openness contribute to stimulating economic growth in the KSA in the long run, while the results showed the negative impact of bank credit on economic growth in the long run. The study suggests that it is possible in the near future that KSA will be able to meet its energy needs by adopting renewable energy alternatives. However, energy policies should be implemented sufficiently to promote sustainable economic growth In line with achieving the Kingdom’s Vision 2030.
Amiloride Sensitizes Prostate Cancer Cells to the Reversible Tyrosine Kinase Inhibitor Lapatinib by Modulating ERBB3 Subcellular Localization
Authors: Jathal Maitreyee K , Mudryj Maria M , Dall'Era Marc , Ghosh Paramita M
Published: August 2024

Neoadjuvant therapy (NAT) has been studied in clinically localized prostate cancer (PCa) to improve the outcomes from radical prostatectomy (RP) by ‘debulking’ of high-risk PCa; however, using androgen deprivation at this point risks castration resistant PCa (CRPC) clonal proliferation with potentially profound side effects such as fatigue, loss of libido, hot flashes, loss of muscle mass, and weight gain. Our goal is to identify alternative NAT that reduce hormone sensitive PCa (HSPC) without affecting androgen receptor (AR) transcriptional activity. PCa is associated with increased expression and activation of the epidermal growth factor receptor (EGFR) family, including HER2 and ErbB3. Dimerization between these receptors is required for activation of downstream targets involved in tumor progression. The FDA-approved HER2 inhibitor lapatinib has been tested in PCa but was ineffective due to continued activation of ErbB3. We now demonstrate that this is due to ErbB3 being localized to the nucleus in HSPC and thus protected from lapatinib which affect membrane localized HER2/ErbB3 dimers. Here, we show that the well-established, well-tolerated diuretic amiloride hydrochloride dose dependently prevented ErbB3 nuclear localization via formation of plasma membrane localized HER2/ErbB3 dimers. This in turn allowed lapatinib inactivation of these dimers via inhibition of its target HER2, which dephosphorylated downstream survival and proliferation regulators AKT and ERK1/2. Amiloride combined with lapatinib significantly increased apoptosis but did not affect AR transcriptional activity. Thus, our data indicate that a combination of amiloride and lapatinib could target HSPC tumors without problems associated with androgen deprivation therapy in localized PCa.
Selection of the Compromised Operating Condition of a One-pot Multi-enzymatic Reaction Using Individually Immobilised Enzymes: Production of Lactofructose Syrup
Authors: Clavero Camila , Urrutia Paulina , Conejeros Raúl , Romero Oscar , Wilson Lorena
Published: August 2024

We selected a compromised operating condition (temperature and pH) in a one-pot multienzyme system by considering the stability and initial reaction rate of the catalysts in a single parameter (catalytic potential). The production of lactose-fructose syrup (LFS) was used as model of a multi-enzymatic system. The enzymes used were β-galactosidase (β-gal), extracted from Bifidobacterium bifidum, which was previously immobilised and commercially immobilised glucose isomerase (GI).
The compromised catalytic potential for both enzymes was obtained at a temperature of 50 °C and pH of 6.5, with a catalytic potential of 19,034.9 μmol g-1 for β-gal and 1,894.7 μmol g-1 for GI. Under these conditions, the initial reaction rate of β-gal was 100% and GI was 20%, whereas the half-life was 25 h and 300 h for β-gal and GI, respectively. After 20 batches (equivalent to 40 h of operation), no significant productivity losses were detected (less than 10 %). The average productivity of the first five batches was 0.111 g fructose‧h-1, whereas that of the last five batches was 0.106 g fructose‧h-1.
These results showed the applicability of the catalytic potential as a tool for selecting the operating conditions in a process where two or more enzymes work simultaneously.
Research on the Improvement of Dynamic and Steady-State Performance of Grid-Connected Inverters Based on Fuzzy Adaptive Control under Weak Grid Conditions
Authors: Yu Chang-zhou , Diao Hai-yang , Wang Qin , Liu Zi-yang , Xu Hai-zhen , Li Jia-jia
Published: August 2024

As the penetration rate of renewable energy generation continues to increase, the characteristics of weak grids with low short-circuit ratios (SCR) and high grid impedance at the distribution end become more pronounced. Although the performance of grid-connected inverters can be adaptively adjusted based on SCR to ensure stable operation over a wide range of SCR variations, this significantly reduces their responsiveness, making it difficult to meet grid connection requirements. To address this issue, this paper proposes a control strategy based on a fuzzy adaptive PI controller. First, a mathematical model of the grid-connected inverter is established, and the D-partition method is used to analyze the stability region of conventional PI control parameters, particularly the balance between stability and responsiveness in weak grids. On this basis, a fuzzy adaptive PI controller that combines SCR and current control error is designed, capable of autonomously adjusting control parameters according to the steady-state and dynamic characteristics of the grid. Finally, the effectiveness of this strategy is verified through a hardware-in-the-loop (HIL) simulation platform. The results show that the proposed method improves the stability and dynamic response capability of grid-connected inverters under weak grid conditions.
COHEWL: Classifying and Measuring SemanticCoherence of Short Texts with Language Models
Authors: Junior Osmar de Oliveira Braz , Fileto Renato
Published: August 2024

Traditional text coherence models are unable to detect incoherences caused by word misuse in single-sentence documents, as they focus on sentence ordering and semantic similarity of neighboring sentences.This work investigates methods to classify and measure semantic consistency of words in very short documents. Firstly, we fine-tuned BERT for the tasks of detecting short documents with an incoherent word, and distinguishing original documents from the ones with a word automatically changed by the BERT Masked Language Model (MLM). We also used BERT embeddings to calculate coherence measures.Then we prompted generative Large Language Models (LLMs) to classify and measure semantic coherence.The classifiers based on BERT achieved between \(80%\) and \(87.50%\) accuracy in the task of classifying semantic coherence, depending on the language. They performed even better in the task of distinguishing original documents from the ones with a word changed. However, coherence measures calculated using BERT embeddings did not discriminate well coherent documents from incoherent ones, neither original documents from their respective versions with a word automatically changed.On the other hand, LLaMA, GPT, and Gemini outperformed BERT in the task of semantic coherence classification on our corpus of short questions about data structures, in Portuguese and in English. They also generated semantic coherence measures that discriminate coherent from incoherent documents better than measures based on BERT embeddings.
Development of core outcome domains for the organizational health literacy responsiveness evaluation framework (OHLR-EF)
Authors: Aaby Anna , Heuck Iben Rask , Østergaard Liv Stubbe , Meldgaard Maiken , Iversen Peter Bindslev , Broucke Stephan Van den , Maindal Helle Terkildsen
Published: August 2024

Background:Organizational health literacy responsiveness is the ability of health organizations and systems to recognize and respond to health literacy needs and improve health environments to ensure equitable access to and use of information and services. However, research concerning outcome measures of organizational health literacy responsiveness interventions is scarce, making it difficult to acquire aggregated knowledge on evaluations and compare effect. This study aims to develop an evaluation framework based on core outcome domains of organizational health literacy responsiveness.Methods:First, organizational health literacy responsiveness outcomes were identified through a narrative literature review, and secondly, categorized into domains through a content mapping process. Consensus was reached on core outcome domains through a three-round Delphi process. For this, experts within organizational health literacy research and practice were invited digitally to fill out questionnaires designed to rank and further define potential core outcome domains for the evaluation framework.Results:The literature search resulted in the identification of nine publications. A total of 383 outcomes were identified from these. The content mapping resulted in their categorization into 26 proposed outcome domains. 24 experts participated in the Delphi process, which resulted in consensus on 15 core outcome domains in the final evaluation framework. The core outcome domains were categorized under the five headings: 1) Organizational change, leadership, and management, 2) Workforce responsiveness, 3) Person-centered care and user involvement, 4) Access and navigation, and 5) Partnerships and transitions.Conclusions: Theorganizational health literacy responsiveness evaluation framework (OHLR-EF)enhances the stringency of future evaluations of organizational health literacy responsiveness interventions. The core outcome domains allow interventions of any scope to be easily assessed against the complete organizational health literacy responsiveness concept and the framework facilitates comparisons between methodologically or contextually related interventions.
2,4-Dinitrophenol is toxic on a low caloric diet but extends lifespan of Drosophila melanogaster on nutrient-rich diets without an impact on metabolism
Authors: Strilbytska Olha M. , Semaniuk Uliana , Yurkevych Ihor , Glovyak Andriy , Gospodaryov Dmytro , Bayliak Maria M. , Lushchak Oleh
Published: August 2024

Uncouplers of mitochondrial electron transport chain, such as 2,4-dinitrophehol (DNP), can mimic calorie restriction by decreasing efficiency of adenosine triphosphate (ATP) synthesis. However, DNP is also a toxic substance, whose overdosage can be lethal. In the fruit fly, Drosophila melanogaster model, we have found that DNP in concentrations of 0.05–0.2 g/L, led to a drastic decrease in fruit fly survival on a low caloric diet (1% sucrose and 1% yeast; 1S-1Y). On the 5S-5Y diet, DNP decreased lifespan of flies reared only in concentration 0.2 g/L, whilst on the diet 15S-15Y DNP either did not significantly shortened fruit fly lifespan or extended it. The lifespan extension on the high caloric 15S-15Y diet with DNP was accompanied by lower activity of lactate dehydrogenase and a decrease in activities of mitochondrial respiratory chain complexes I, II, and V, determined by blue native electrophoresis followed by in-gel activity assays. The exposure to DNP also did not affect key glycolytic enzymes, antioxidant and related enzymes, and markers of oxidative stress, such as aconitase activity and amount protein carbonyls. Consumption of DNP-supplemented diet did not affect flies’ resistance to heat stress, though made male flies slightly more resistant to starvation compared with males reared on the control food. We also did not observe substantial changes in the contents of metabolic stores, triacylglycerols and glycogen, in the DNP-treated flies. All this suggest that a nutrient-rich diets provide effective protection against DNP, providing a mild uncoupling of the respiratory chain that allows lifespan extension without considerable changes in metabolism.
Synergistic Spectrum Sensing: MME and Energy Double Thresholding Enhanced byHybrid Whale-Chimp Algorithm
Authors: R Raghavendra L , C Manjunatha R , J SHARATH KUMAR A , M Nethravathi H
Published: August 2024

Spectrum sensing is necessary for cognitive radio networks to locate usable frequency bands without upsetting core users. To enhance energy detection, the adaptive double-threshold method was developed. It constantly alters higher and lower thresholds based on the SNR of cognitive nodes. We present a unique approach in this research to get the weighting coefficients required for threshold modification. We introduce the hybrid Whale-Chimp Optimization Algorithm (WCOA) for effective threshold adjustments, ensuring their stability within an appropriate range and reduced sensitivity to minor fluctuations in weighting coefficients. Through the integration of the double-threshold algorithm with a hybrid approach combining Energy and maximum-minimum Eigenvalue (MME), further optimized by the Innovative Hybrid Whale-Chimp Algorithm, our technique addresses the limitations associated with conventional double-threshold energy detection methods, particularly under conditions of low SNR. Collaborative interactions among cognitive nodes enhance their detection precision, leading to swifter spectrum sensing and heightened detection probabilities. The proposed method presents a potentially efficient approach to spectrum sensing within cognitive radio networks, all while preserving the primary users' integrity.
Unveiling Bar Structures in Galaxy Triplets: AComprehensive Study of Isolated Galaxy Triplets in theLocal Universe
Authors: Tawfeek Amira A
Published: August 2024

A comprehensive analysis of barred galaxiesin triplet systems, drawn from the SDSS-based catalogof isolated galaxy triplets composed of 315 triplet systems (945 galaxy members) is presented. The primaryobjective for this study is to investigate the bar fraction (fbar ) within these systems and explore its correlationwith various intrinsic and extrinsic properties of thetriplets. The final sample reveals a bar fraction of 42% with a bar fraction that significantly increases in nearby systems (with smaller redshift) characterized by highervirial mass (Mvir ), lower radial velocities (σ) amongtheir members, and larger angular separations (rp) andharmonic projected distances (rh) between the tripletmembers. Additionally, it has been noticed that the Large Scale Structure (LSS) influences the bar fraction,with fbar decreasing as the distance from the primarygalaxy (G1) to the first neighborhood increases (dNN). Furthermore, fbar decreases as tidal strength generatedby the galaxies in the LSS (QLSS )increases. These findings suggest that both the dynamical environmentand the local interactions within triplet systems significantly impact the abundance of barred structures.This study provides valuable insights into the role of environmental factors in shaping galaxy morphology, particularly in systems with complex gravitational interactions.
Different exploration strategies along the autism spectrum: Diverging effects of autism diagnosis and autism traits
Authors: Goetmaeckers Fien , Goris Judith , Wiersema Jan , Verguts Tom , Braem Senne
Published: August 2024

When faced with many options to choose from, humans and other agents typically need to explore the utility of new choice options. People with an autism diagnosis or elevated autism traits are thought to avoid exploring such unknown options. In a large sample (N = 588), we investigated the impact of autism diagnosis or elevated autism traits on exploration behavior during value-based decision-making in vast decision spaces. Our findings show that participants with an autism diagnosis were less likely to explore novel choice options and more likely to exploit known high-value options. Computational modeling suggests they engaged in less uncertainty-driven exploration but exhibited equal random exploration and generalization strategies. Interestingly, among non-diagnosed participants, people with elevated autism traits did not explore less. Our findings highlight important differences in exploration strategies between clinical and subclinical populations.
THE INFLUENCE OF FINANCIAL ATTITUDE, FINANCIAL KNOWLEDGE, PERSONAL INCOME AND EDUCATION LEVEL ON FINANCIAL BEHAVIOUR
Authors: BINTI SUWADJI LANTIP SUSILOWATI
Published: August 2024

Abstract: This study aims to examine the effect of Financial Attitudes, Financial Knowledge, Personal Income and Education Level on Financial Behavior in employees of CV Mahesa Interior District Kediri Regency partially and simultaneously. This research method used is a quantitative approach with an associative research type. The population used is employees of CV Mahesa Interior Kediri Regency. The data source is primary data, data collection methods by distributing questionnaires, samples obtained using non-probability sampling types with saturated sampling techniques. Data analysis using IBM SPSS version 26. The results showed that Financial Attitudes partially had a significant positive effect on Financial Behavior, Financial Knowledge partially had a significant positive effect on Financial Behavior, Personal Income partially had a significant positive effect on Financial Behavior, Education Level partially had a significant positive effect on the Financial Behavior. Financial Attitude, Financial Knowledge, Personal Income, and Education Level simultaneously have a significant positive effect on Financial Behavior of CV Mahesa Interior Kediri regency.
DIGITAL MULTI-SENSORY APPROACHES IN ENGLISH LANGUAGE LEARNING: A CASE STUDY OF MIDDLE SCHOOL STUDENTS IN CIREBON
Authors: Koniah Koniah , Sudimantara Lala Bumela , Ikawati Listiana
Published: August 2024

The decline in the English Proficiency Index (EPI) in Indonesia raises concerns about the outdated ELT pedagogy in Indonesia.  This study aims to determine a learning approach using digital learning resources with an innovative multi-sensory approach for grade 8 students by utilizing selected stories from Aesop's Fables which are curated based on the CEFR (Common European Framework of Reference for Languages) level.  This study employs a differentiated learning, student-centered approach to learning and uses reading for emotions as a learning tool to facilitate critical and reflective thinking.  Based on the work of Lian (2017) and Sudimantara (2021), this study used a multi-sensory load reduction strategy by utilizing nonverbal elements such as rhythm, intonation, movement, emotion, and aesthetics.The research findings show that utilizing digital multi sensory English learning is a practical and diverse method of teaching narrative texts.  Innovative learning resources foster students' enthusiasm for learning and enhance their academic engagement and performance.  However, the study revealed that teachers are still hesitant to adopt this new approach and continue to rely on traditional teaching methods, while students are increasingly eager to explore new and innovative ways of learning.  This study emphasizes the importance of embracing innovative learning strategies to improve the quality of education in Indonesia and equip students with the skills necessary to succeed in today's interconnected world.
EXPLORING EFL STUDENT’S LITERACY PRACTICES IN THE ERA OF ONLINE LEARNING
Authors: Shofiya Arina , Sri Rahayu Nanik
Published: August 2024

The shift of learning mode from offline to online as the effect of Pandemic Covid -19 provides more experience about literacy to EFL students. Literacy which is formerly defined as the ability to read and write, has myriad definitions including the ability to use digital media for learning. EFL students nowadays are said as digital native and are assumed as familiar with digital media. The present study intends to explore the EFL students’ digital literacy practices and the contribution of digital technology toward students’ learning. The findings show that EFL students use digital media for some purposes such as learning, working part time, seeking new information, and some others. They are familiar and able to use various types of social media, digital photographs, mobile apps, mp 4 audio, software video sharing, virtual reality, augmented reality, and podcast. The frequent uses of digital media contribute to the students’ learning by increasing their thinking capability, helping them control their emotion, and supporting their interaction with their friends. The outcome of students’ digital literacy practices emerge in various form like short stories, novel, photograph, advertisement, classroom assignment, educational video, picture, animation and some other products that support learning.
Synthesis and Characterization of Fe-Poor Olivine with Applications to the Surface of Mercury
Authors: Anzures Brendan A. , Kaaden Kathleen E. Vander , McCubbin Francis M. , Rowland Richard L. , Moore Gordon M. , Prissel Kelsey , Morris Richard V. , Klima Rachel L. , Stockstill-Cahill Karen R. , Agresti David G.
Published: August 2024

Results from X-ray remote sensing aboard NASA’s MErcury Surface Space ENvironment GEochemistry and Ranging (MESSENGER) spacecraft have demonstrated that Mercury has a low, but measurable, concentration of Fe on its surface. However, ultraviolet to near-infrared spectroscopic measurements of the mercurian surface do not show the 1 µm absorption band characteristic of ferromagnesian silicates. This observation is consistent across multiple Fe-bearing terranes with a range of ages, suggesting the Fe present on Mercury’s surface may not be stored within silicate phases. In order to further constrain the possible mineralogy and composition of Fe-bearing phases on Mercury, we characterized synthetic olivine with minor amounts of Fe (i.e., Fo99.62–Fo99.99), along with more Fe-rich natural olivines, using a variety of spectroscopic techniques. Our results indicate that the characteristic 1 µm absorption band is detectable in reflectance spectra of olivine at a concentration as low as 0.03 wt% FeO as well as 0.01 wt% in continuum removed data. Additionally, MESSENGER’s lack of a 1 µm absorption taking into account Mercury Dual Imaging System (MDIS)’s limited spectral resolution and Mercury Atmospheric and Surface Composition Spectrometer (MASCS)’s high signal-to-noise, suggests there is less than 0.38 wt%, and likely less than 0.01 wt%, FeO on the surface of Mercury. Because the 1 µm band is not observed in surface spectra, these results indicate that the Fe observed on the surface of Mercury is not bound in an olivine structure. Rather, we posit that Fe is present as nano-phase and macroscopic Fe-rich metal or Fe-sulfide that formed as a result of space weathering and igneous smelting processes. Looking forward to ESA/JAXA’s BepiColombo mission that has a planned Mercury orbit arrival time in December 2025, MERTIS mid-infared spectra should provide a mineralogical detection or absence of olivine where MIR spectral features are still present even in synthetic olivines with minor amounts of Fe (Fo99.99).
DEVELOPMENT OF STANDARDIZED OLFACTORY TEST AS A COGNITIVE IMPAIRMENT SCREENING TOOL IN INDONESIAN ELDERLY: A PRELIMINARY STUDY
Authors: Kristian Kevin , Handajani Yvonne Suzy , Widjaja Nelly Tina , Suswanti Ika , Turana Yuda
Published: August 2024

The decline of olfactory function is an early indicator of neurodegenerative diseases, such as Alzheimer’s and Parkinson’s disease. An olfactory function assessment instrument using ten familiar scents with multiple-choice answers has been developed, but several items were inapplicable and had not been standardized. This study aimed to identify various scents that have not been standardized for the aging population with normal cognitive function. This research was a preliminary study with a descriptive cross-sectional approach conducted in Kalianyar village, Jakarta, involving 23 elderly participants with normal cognitive function. An instrument consisting of a list of scents was employed in two steps, with or without assistance. Initially, participants had one chance to smell and try to guess the type of scent given. If the scent was not guessed correctly, participants were then provided with multiple-choice options as a hint. Based on the assessment of twelve scents from the existing research, only nine scents were recognizable. Among them, coffee, lemongrass, oranges, eucalyptus, and menthol were the scents with the most correct answers without assistance. Additionally, there were four scents recognized with or without assistance, such as jasmine, lemon, aromatic ginger, and lime. This study found that only nine scents were familiar and had the potential to be utilized in the future as a screening tool for cognitive impairment.
Adoption of strategic management accounting by small enterprises in South Africa
Authors: Thandazi Zulu Londiwe , Wiseman Nzuza Zwelihle
Published: August 2024

Strategic management accounting (SMA) is essential for small enterprises to enhance business decision-making and optimize resource allocation, thereby fostering competitiveness and long-term sustainability in dynamic markets. The study aims to investigate the factors influencing the adoption of SMA by small enterprises in South Africa, using KwaZulu-Natal as a case study. To achieve this objective, a quantitative and cross-sectional design was employed, utilizing a questionnaire and covering 191 SEs owners. The research framework is based on contingency theory, and data analysis was performed using Stata. The vector autoregression analysis indicates that the adoption of SMA is driven by its perceived ability to address financial aspects such as cash management, decision-making regarding return on investment, and financial variance analysis. Furthermore, SMA adoption is influenced by its effectiveness in addressing non-financial factors, such as customer service. The observed relationships between SMA adoption and both financial and non-financial factors are all statistically significant at the 0.000 level. These findings underscore the critical role of SMA for small enterprises in South Africa, emphasizing its significance in their success and long-term sustainability.
Pengaruh Tanggung Jawab Sosial dan Lingkungan terhadap Penghindaran Pajak
Authors: Wibawa Marcella Mega , Setia Angeline , Marsetio Nany Chandra
Published: August 2024

This research aims to determine whether or not there is an impact of social and environmental responsibility costs on corporate tax avoidance in companies listed on the IDX from 2020 to 2023. Considering the widespread disclosure of CSR accompanied by news related to tax avoidance in Indonesia, that makes this topic interesting to be researched. This research uses quantitative data with cross section and time series data. The data taken are companies registered on the IDX from 2020 to 2023 from all industries except the financial industry which specifically discloses overall CSR costs, resulting in a total of 136 companies. The results of the research state that CSR costs negatively affect tax avoidance with the BTD proxy as seen from the significance results of the regression tests carried out. The small number of companies that disclose CSR costs and the short research time are the limitations in this research. Overall, it is hoped that this research will provide benefits for company management, regulators or government, academics and researchers themselves.
Pengaruh Audit Tenure, Opini Auditor, dan Reputasi Kantor Akuntan Publik terhadap Audit Report Lag
Authors: Yulianingtias Karina Surya , Triyuwono Iwan
Published: August 2024

This research aims to examine the influence of audit tenure, auditor opinion and reputation of the Public Accounting Firm as independent variables on audit report lag as a dependent variable based on auditing theory. This research employs quantitative research. This research uses purposive sampling sample selection techniques and uses multiple linear regression analyzed with SPSS 29 as an analyzing tool. The sample used in this research is secondary data in the form of financial reports and annual reports totaling 245 sample data consisting of 83 companies in the Consumer Cyclicals Sector that have met the criteria in the form of companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2022 financial reporting period with complete report data. The research results show that audit tenure and Public Accounting Firm reputation cannot influence audit report lag, while audit opinion has a negative influence on audit report lag. Simultaneously, audit tenure, auditor opinion, and Public Accounting Firm reputation influence the audit report lag negatively.
Model for allocating the share of the land component from the assessment of the market value of single real estate objects
Authors: Kreshchensky V. D. , Sharieva D. M. , Laskin M. B.
Published: August 2024

The objective of the study is to develop a mathematical model and corresponding methodology that allows, based on available empirical observations (market data), in a comparative approach, to create an assessment of the market value of a single real estate object and to allocate in its composition the share of the value attributable to the land plot. Such tasks arise due to the need for separate accounting of taxable objects: land and real estate located on it. The relevance of the study is determined by the introduction of the institute of cadastral valuation in the Russian Federation. The legislation provides for the frequency of cadastral valuation every four years, in cities of federal significance, the term of the next valuation can be set at two years, by decision of the subject of the federation. It should be noted that when determining the cadastral value by mass appraisal methods, the methodological recommendations of Rosreestr essentially speak of determining the cadastral value as a market value.Materials and methods. A model of a multivariate logarithmic normal distribution law is considered. Such a model is a theoretical prerequisite for developing multiplicative models (i.e. additive for the logarithms of prices and some price-forming factors). The data from open Russian Internet resources on sales of single real estate objects (houses) and vacant land plots in the Leningrad region, put up for sale in 2023, are used. The sample sizes for houses are 2759 records, for vacant land plots - 1023 records. The authors propose a method for estimating the share of the land component in the assessment of the market value of single real estate objects, based on multiplicative models of market value.Results. The paper clearly shows the reason why the multiplicative model (linear model in the logarithms of prices and some factors) gives better results than the multiplicative one. A method for creating cadastral value tables with changing values of price-forming factors is shown.Conclusion. The paper shows that the share of the land component in the assessment of the cadastral value is not a constant, it largely depends on the values of price-forming factors, primarily such as the area of the land plot, the area of the buildings and structures located on it, the location of the object. The three factors mentioned above can form a certain basic cadastral value (defined as market value), which can be adjusted taking into account the individual characteristics of the object
ANALISIS PENGARUH TENAGA KERJA DAN MODAL MANUSIA TERHADAP PERTUMBUHAN EKONOMI DALAM PENGENTASAN KEMISKINAN
Authors: Ghina Nabila Ali
Published: August 2024

Economic development in the traditional economy is only measured using GDP growth, both in aggregate and per capita. Further increases in GDP will create the necessary conditions for a more equitable distribution of economic and social growth results. However, orientation only to economic growth in building national economy has drawn considerable criticisms. From this point, new economic views have emerged. According to Todaro (2006), the main objective of the new views is GDP growth with simultaneous improvements in poverty alleviation and inequality reduction. High economic growth is often followed by high poverty. Therefore, sustainable economic growth, known as the inclusive growth, is required. In Indonesia, there are still provinces that have not achieved a good level of inclusiveness, one of which is East Java. The rate of its economic growth is very high, but the number of poor people in the area is above the national average. This study aims to analyze the effect of labor and human capital on economic growth in poverty alleviation in East Java using the case study method of 38 regencies and cities during the 2011-2020 period. The panel data was analyzed simultaneously in E-views. This study finds that labor does not affect economic growth, but human capital described by health and education affects economic growth. Further, negative economic growth positively and significantly affect poverty, which means that increasing human capital has a good impact on economic growth and will further reduce poverty.