bluuebunny/crossref_metadata_2025 huggingface dataset:
MENDICIDAD Y POBREZA EN LA NOVELA MISERICORDIA DE BENITO PÉREZ GALDÓS: UNA LECTURA NEOHISTORICISTA
Authors: Karanović Vladimir
Published: November 2024

El Nuevo Historicismo comprende una práctica de lectura específica dirigida a explicar, entre otras cosas, por qué los textos representan modelos de conducta social y transmiten códigos dominantes en los marcos culturales en que se inscriben. Las novelas del realismo español, especialmente las de los escritores ideológicamente involucrados en la vida social y política nacional, mantienen el potencial analítico de los textos literarios españoles de los últimos años del siglo XIX en cuanto a «sitios de conflicto» y «fisuras textuales», inmanentes a los postulados teóricos del Nuevo Historicismo. La novela Misericordia (1897) es una de las mejores obras de Benito Pérez Galdós, concebida en su tardía fase del «realismo espiritual», y frecuentemente es designada como un claro testimonio de su desilusión ideológica ante los objetivos regeneracionistas de la época. Galdós en esta novela pinta y recrea el ambiente madrileño decimonónico: sus calles, barrios, cafés, tabernas, casas, iglesias, cementerios y otras localidades urbanas. Partiendo de los postulados de la teoría del Nuevo Historicismo, en el artículo se analiza la conceptualización galdosiana de la pobreza y la mendicidad como proyecciones simbólicas de una crisis social e histórica de la España finisecular.
A felügyelt gépi tanulás alkalmazási lehetőségei szöveges adatokon. A magyar országgyűlésben 1998–2018 között elhangzott beszédek elemzése
Authors: Buda Jakab Máté , Németh Renáta
Published: November 2024

Tanulmányunkban a magyar országgyűlésben 1998–2018 között elhangzott beszédeket elemezve a
szöveges adatokon végzett felügyelt gépi tanulás alkalmazási lehetőségeit mutatjuk be a társadalomtudományokban. Megmutatjuk, hogy a politikai polarizáció nyelvi lenyomatának, vagyis bizonyos
csoportok nyelvhasználata közötti távolságnak a mérésére használhatjuk a klasszifikációs modellek
pontossági metrikáját, ugyanakkor kitérünk arra is, hogy kizárólag a modell teljesítményére való
hagyatkozás önmagában kevés, érdemes a modellek működését alaposabban is megvizsgálni. A magyarországi polarizáció időbeli alakulásának tanulmányozásához n-gram-változókra épülő XGBoost
klasszifikációs modelleket illesztünk az összes 1998 és 2018 közötti parlamenti ciklusra, külön-külön. A klasszifikációs feladat az volt, hogy megkülönböztessük a vizsgált időszak alatti két domináns
párt (Fidesz és MSZP) képviselői által elmondott beszédeket. Bár az egymást követő parlamenti ciklusok során a klasszifikáció teljesítményének javulása nyilvánvaló – ami a nyelvhasználatban tükröződő polarizáció erősödésére utal –, e nyelvi változás sajátosságai további tisztázást igényelnek.
A nyelvhasználatban tükröződő növekvő különbség még kézenfekvőbb, ha nemcsak a modellek pontosságát, hanem az általuk megjósolt valószínűségek eloszlását is megvizsgáljuk. Kísérletet teszünk
a modellek magyarázatára is, és további lehetséges kutatási irányokat is vázolunk.
Strategi Preventif dan Represif Pembiayaan Bermasalah untuk Konsistensi Kesehatan Bank (Studi Kasus BSI KC Bojonegoro)
Authors: Yuria Ima Yuriani , Setia Rini Arista
Published: November 2024

This research discusses preventive and repressive strategies in dealing with problematic financing so that the level of bank health that has been achieved is well maintained. Based on facts in the field, financing problems often occur among customers, especially at the Bank Syariah Indonesia Bojonegoro Branch Office. Therefore, the aim of this research is to find out more about the handling of problematic financing, both from preventive and repressive strategies carried out by BSI KC Bojonegoro, the factors that trigger problematic financing at BSI KC Bojonegoro, as well as the mechanisms implemented by BSI KC. Bojonegoro in overcoming financing problems. The method used in this research is a qualitative descriptive method using field research. The results of the research state that there are 2 strategies for handling problematic financing carried out by BSI KC Bojonegoro, namely preventive and repressive strategies. Preventive strategies include providing information regarding the legal consequences of breach of contract, then evaluating the management of the financing distribution portfolio, and evaluating the financing unit. Then repressive strategies include contacting customers, visiting customers' homes, giving warning letters, deliberation, rescheduling, reconditioning, restructuring, writing off, auction selling collateral, and finally taking legal action. Then there are 2 factors that cause financing problems, namely internal and external factors. It is hoped that this research can provide new insights regarding handling problematic financing to readers and can be used as evaluation material for BSI KC Bojonegoro.
PENGARUH LITERASI PASAR MODAL DAN PERSEPSI RISIKO TERHADAP KEPUTUSAN BERINVESTASI MAHASISWA
Authors: Fikri Muhammad Khaerul , Ramadani Lalu Ahmad , Reza Muhammad Helmy , Gemilang Sabrang Gilang
Published: November 2024

Capital market literacy is very important, because it makes it easier for students to make investment decisions. Risk perception is also a student factor in determining investment decisions, because the lower the risk, the higher it is in determining investment decisions and vice versa. The observation aims to determine the influence of capital market literacy and risk perception on students' investment decisions. This type of research is a quantitative approach. The data analysis method uses multiple linear regression analysis. The population and sample used were all members and administrators of the Mataram State Islamic University Capital Markets Study Group for 2022-2023, a total of 125 people using a saturated sampling technique. The research results show that capital market literacy influences investment decisions with the results of the hypothesis test (t test) (2,657 > 1,979) with a significance value (0.009 < 0.05). Risk perception influences investment decisions with the t test results (5,238 > 1,979) with a significance value (0.000 < 0.05). Meanwhile, capital market literacy and risk perception influence investment decisions simultaneously with the R2 test result (coefficient of determination) obtained at 0.263. This shows that investment decisions are influenced by Capital Market Literacy.
Interactive dental health education on the knowledge level of little doctors students of Muhammadiyah 4 Elementary School
Authors: Sitalaksmi Ratri Maya , Kartikasari Nadia , Mundiratri Karina , Lestari Kurnia Ayu , Atikasari Nurani , Gunawan Hendri Budi , Setiawan Panji Adhytama Pragana , Charyadie Arlita Gladys Tricia , Utami Firdha Putri , Aldrian David , Batul Fatimah
Published: November 2024

Background: Dental and oral health education is conducted with the aim of changing the habits of a person, group of people, or society so they can gain knowledge, attitudes, and habits to behave in a healthy way in the field of dental and oral health. Elementary school age is the right time for teachers to introduce and instill healthy living habits. A dental and oral health education for Little Doctor students is assumed to help improve the dental and oral health of other students, teachers, and other staff of the school, as well as the people around the student outside of school. Purpose: To describe the effect of interactive dental health education on knowledge improvement. Methods: This study’s sample size was 31 Little Doctor students in the third through sixth grades. The activity in general adopted two-way communication; interactive speaking was performed to stimulate the students attentiveness to the topics, allowing students to engage with the speakers. To assess the students’ knowledge level of oral and dental health, a pre-test questionnaire was filled out prior to starting, and the same questionnaire was filled out as a post-test after completing all the agenda. Results: There were significant differences between pre-test and post-test results (P-value < 0.05), with the mean rank of the post-test group (45.56%) being significantly higher than the pre-test group (17.44%). Conclusion: The interactive education method in elementary school was found to be efficacious and more preferable as it matches the level of growth and development in school-age children.
THE RELATIONSHIP BETWEEN STRESS LEVELS AND SLEEP QUALITY WITH THE MENSTRUAL CYCLE ON NURSING STUDENTS
Authors: Ernawati Dianna Ika , Ekawati Heny , Gumelar Wahyu Retno , Rahmadani Alvi
Published: November 2024

Introduction: Every month's regular menstrual cycle should ideally span 21-35 days.  The menstrual cycle is influenced by several factors, namely stress levels and sleep quality. Menstrual cycle disorders indicate metabolic and endocrine system irregularities. The impact that often occurs due to menstrual cycle disorders is infertility and difficulty identifying the fertile period. The purpose of the study was to determine the relationship between stress levels and sleep quality with the menstrual cycle in seventh-semester nursing students at Universitas Muhammadiyah Lamongan. Methods: This research design uses correlation analytics with a cross-sectional approach using a simple random sampling technique with a sample of 111 respondents. Measured using the Depression Anxiety Stress Scale questionnaire sheet for stress levels and the Pittsburgh Sleep Quality Index questionnaire for sleep quality. After tabulating the data and analyzing it using the Spearmen Rank test. Results: This study showed that almost half of the 43 female students (38.7%) experienced mild stress and more than half of the 60 female students (54.1%) had poor sleep quality.  Conclusions: Based on the results of the analysis using the Spearmen rank test, the value of p = 0.000, where p <0.05 means that there is a relationship between stress levels and sleep quality with the menstrual cycle in nursing students in semester VII of Universitas Muhammadiyah Lamongan. Based on this research, it is expected that female students can reduce stress, get enough sleep 7-8 hours, diet, and control weight so that the menstrual cycle returns to normal.
WORK-LIFE BALANCE OF JEMBER UNIVERSITY LECTURERS
Authors: Ainul Qismatil Katsiiroh  , Anita Dewi Prahastuti Sujoso
Published: November 2024

Background: Work-life balance is a condition that occurs when the demands of work and the demands of personal life are balanced. Previous research stated that work-life balance for lecturers was achieved during the Work-from-Home (WFH) or online learning. However, it is known that the current learning system has returned to the offline system. Purpose: The purpose of the research was to determine factors of work-life balance among Jember University lecturers. Method: This type of research is observational analytics using a cross-sectional research design. The instrument used in the research was a work-life balance questionnaire developed by Fisher. The population for this research was 376 Jember University lecturers who were actively teaching. 128 respondents were taken as the sample. Sample selection in the research used a proportional random sampling technique and used the contingency coefficient and Chi-square statistical test. Result: The results showed that most respondents were male (54.7%), aged 28 to 46 years (64.1%), married (91.4%), had ≤2 children (62.5%), had functional positions of lectors (35.2%), had no structural positions (59.4%), and had no side jobs (68.8%). There was no significant relationship between sex (0.252), age (0.502), marital status (0.682), number of children (0.145), functional positions (0.312), structural positions (0.509), and side jobs (0.094) with work-life balance. Conclusion: Demographic and job characteristics do not affect the work-life balance among lecturers at University of Jember.
Monetary Policy Under Global and Spillover Uncertainty Shocks: What Do the Bayesian Time-Varying Coefficient Var, Local Projections, and Vecm Tell Us in Tunisia?
Authors: Trabelsi Emna
Published: November 2024

This study assesses the informational usefulness of several uncertainty metrics in predicting the monetary policy and actual economic activity of Tunisia. We use a Bayesian time-varying vector autoregressive (VAR) model to identify uncertainty shocks sequentially. We complement the analysis with the use of Local Projections (LPs), a recently flexible and simple method that accommodates the effect of an exogenous intervention on policy outcomes. The findings suggest that shocks to global and spillover uncertainty are important in triggering economic fluctuations and elucidating the dynamics of consumer prices. The irreversibility theory or the “precaution” effect is tested in a Vector Error Correction Model (VECM). The money market rate impacts industrial production and consumer prices differently during high versus low uncertainty, depending on the uncertainty variable. The effects can be small, insignificant, or significantly negative, indicating that conventional monetary policy may be ineffective or less influential. The “wait and see” strategy adopted by economic agents implies that they do not take timely actions until additional pieces of information (especially precise) arrive. While this could not be the sole explanation of our finding, it conveys the importance of dealing with uncertainty in decision-making. Importantly, we think that it is maybe time for the central bank to switch to unconventional monetary policy instruments as a complement to the interest rate for better flexibility. Our work provides a comprehensive and clear picture of the Tunisian economy and a focal guide for the central bank’s future practices to achieve macroeconomic objectives.
The Path to Sustainable Cities: How Transportation Choices Influence Our Environmental Future
Authors: Ullah Abid , Ullah Hamid
Published: November 2024

This article explores the reciprocal relationship between travel behavior and urban mobility, highlighting how each influences and shapes the other. The paper is divided into two sections. The first part examines the key factors that influence travel behavior, including socio-demographic characteristics, land use, transportation options, and travel costs. Additionally, it discusses the role of lifestyle choices in shaping transportation preferences. The second part presents case studies oft successful and unsuccessful urban mobility projects, analyzing how community collaboration—or the lack thereof—affects the planning and decision-making process in urban mobility planning. Understanding user mobility patterns is recognized as a complex and context-dependent process, driven by diverse factors that vary with the specific needs and characteristics of different communities. The paper emphasizes that effective mobility planning requires a comprehensive understanding of these behavior patterns and the active engagement of communities in the planning process.
Simulative Modeling of Psychologically Acceptable Architectural and Urban Environments Combining Biomimicry Approach and Concept of Architectural/Urban Genotype as Unifying Theories
Authors: Zaleckis Kestutis , Grazuleviciute-Vileniske Indre , Viliunas Gediminas
Published: November 2024

This research explores the integration of biomimicry and architectural/urban genotype concepts to model psychologically acceptable environments. Drawing on foundational psychological theories - Gestalt, Attention Restoration, Prospect-Refuge, and Environmental Psychology - this study examines the private-public interface at the various urban resolutions, encompassing land plots, buildings and urban structures. Biomimicry serves as a unifying framework, linking these theories with principles derived from natural systems to create sustainable and psychologically beneficial designs. The methodology incorporates simulative modeling, employing space syntax and isovist analysis to quantify key spatial features such as proximity, complexity, and refuge. The study evaluates traditional historical architectures from diverse cultural contexts, such as Islamic medina, Medieval European town, and modernist urbanism, to identify patterns of spatial organization that balance human psychological needs and ecological sustainability. Findings highlight the fractal and hierarchical nature of spatial structures and the importance of integrating human-scale, culturally relevant designs into modern urban planning. By establishing a replicable framework, this research aims to bridge theoretical and practical gaps in environmental psychology, biomimicry, and urban design, paving the way for resilient and adaptive environments that harmonize ecological and human well-being.
Optimizing Oil Production in Naturally Fractured Carbonate Reservoirs with Gas Coning Under Gas Production Constraint
Authors: Ibragimov Abdulmalik , Ussenova Kamshat , Zhiyenkulov Murat
Published: November 2024

Gas coning is a frequent issue in naturally fractured carbonate reservoirs with a gas cap and an oil rim, leading to decreased oil production and early well abandonment. This paper proposes a production optimization approach for wells experiencing gas breakthrough in such reservoirs to improve ultimate oil recovery. The authors developed a numerical model that incorporates the effects of gas coning and breakthrough on a well productivity in the Karachaganak field. Using this model, authors optimizes production rates to maximize oil recovery while adhering to gas production constraints.

The research is focused to demonstrate that the most effective production strategy for a well is to operate intermittently. Additionally, the frequency of a well's uptime and downtime will progressively decrease over time as the fractured zone of a reservoir is depleted. The suggested production optimization approach can enhance oil recovery in naturally fractured tight carbonate reservoirs while reducing the impact of gas coning and gas breakthrough. The outcomes of this study can guide field development plans and optimize production strategies for comparable tight fractured carbonate reservoirs.
Key countries in the structure of the SouthAmerica production network
Authors: Contreras Martha Gabriela Alatriste , Lugo Igor
Published: November 2024

We study the heterogeneous structure of the production network of 10 South American countries using the input-output data for identifying which of those countries and their economic sectors lead the economic performance of the region. We apply complex network analysis to characterize the structure of the economies and the relation between national production networks and the regional economy. Main results give evidence that the most relevant countries for the regional structure are Brazil, Argentina, and Chile. These countries have different structural properties, but contribute greatly to the structure of the regional economy. The most important sectors of the region are agricultural activities and manufacturing of simple low-transformation products such as food. Finally, results give evidence of competition of countries in similar markets, such as meat, rather than cooperation.
Obstetric Services Preparedness Among Healthcare Workers in Maternal Wards During COVID-19 Pandemic
Authors: Isamail Sumaiyah , Idris Idayu Badilla , Yusoff Hanizah Mohd
Published: November 2024

Background
The COVID-19 pandemic has been spreading rapidly since 2019, leading to devastating consequences worldwide, as well as putting healthcare providers at high risk. This study intends to assess the awareness and preparedness activities among maternal healthcare (MHC) workers and to determine factors that lead to obstetric services’ preparedness in ten Government Hospitals in Selangor, Malaysia.
Methods
A cross-sectional survey was conducted among 409 MHC workers which include doctors, nurses, and midwives in the government hospitals in Selangor, Malaysia between May 2022 till June 2022. Respondents were given validated questionnaires which include socio-demographic background, knowledge, awareness, and attitude as well as the obstetric services’ preparedness activities in managing the COVID-19 pandemic.
Results
Majority of the respondents were nurses/midwives (87.5%), female (98.5%), age 35–45 years old (48.5%), had working experience of more than 5 years (92.7%), had good knowledge and awareness (92.2%) and good obstetric services preparedness (88.3%). However, only about half (54.0%) of them had positive attitude towards COVID-19. When controlling for confounding factors, multivariate analysis showed that working period factor (p < 0.001), knowledge and awareness factor (p < 0.001) and attitude factor (p < 0.001) were significant predictive factors of obstetric services preparedness during the COVID-19 pandemic.
Conclusions
The findings in this study revealed that efforts should be made to further increase the knowledge and awareness of MHC workers on COVID-19 and to improve the positivity of their attitude towards this pandemic so that they can provide better obstetric services especially in the current and future pandemics to come.
Timing of induction of labor with catheter – a prospective randomized study with special reference to setting, parity and obesity
Authors: Rinne Kirsi Marja , Lähde Henna , Kolari Terhi , Polo Päivi
Published: November 2024

Purpose:
Induction of labor (IOL) is typically performed during office hours, possibly leading to delivery during duty time. We aimed to evaluate timing between IOL with catheter and delivery.
Methods:
Altogether, 108 women with planned IOL were included in prospective randomized study. Five different time intervals were evaluated: 1) insertion to expulsion of catheter 2) expulsion of catheter to delivery 3) amniotomy to delivery 4) IOL to delivery and 5) the total admission time by setting (outpatient [OP]/inpatients [IP]), parity (primiparous/multiparous) and body mass index (obese/non-obese).
Results:
For IOL setting, the time in the hospital was 17.5 hours longer in the IP group, with no other differences. All time intervals were longer for primiparous than for multiparous women. The same was true for obese women, compared to non-obese women, except in the insertion–expulsion time.
When IOL was performed during office hours, 57.4% of women delivered between 6pm and 6am, and 42.6% between 6am and 6pm (P=0.124). Furthermore, 66.7% of multiparous and 50.0% of obese women delivered between 6pm and 6am, with no difference between settings.
Conclusions:
The setting of catheter IOL did not compromise delivery times. Instead, parity and marginally obesity showed importance.
Unraveling the anti-biofilm properties of Laurinterol on pioneer biofouling bacteria from the red seaweed Laurencia johnstonii
Authors: Agúndez-Salas Martha Patricia , Aguila-Ramírez Ruth Noemí , González-Castro Ana Laura , García-Davis Sara , Muñoz-Ochoa Mauricio
Published: November 2024

A biofilm is a complex microbial community, representing the initial stage in biofouling formation. Consequently, it is responsible for significant economic losses in several industrial sectors worldwide. Therefore, there is a constant need for safer and environmentally friendly coatings, particularly those derived from new marine sources such as seaweeds with antifouling properties. Red algae produce metabolites that prevent bacterial attachment and biofilm formation by disrupting microbial membranes, inhibiting quorum sensing, or interfering with extracellular matrix production, among them Laurencia johnstonii. This species has particular ecological or geographical advantages that make it more accessible or abundant for research in the Bay of La Paz, BCS. This study aimed to assess the anti-biofilm potential of the red seaweed Laurencia johnstonii. To identify bioactive compounds, the anti-biofilm activity of the ethanolic extract was evaluated against marine biofilm-forming strains: Bacillus altitudinis, Bacillus pumilus, Bacillus subtilis, and Bacillus cereus. The ethanolic extract of L. jonhstonii exhibited the highest percentage of inhibition. Subsequent chromatographic fractionation led to the isolation and identification of laurinterol, the primary compound responsible for the anti-biofilm activity (>97 %) and antibacterial activity (MIC <3.9 µg/mL). To our knowledge, this is the first report of the activity of laurinterol against biofilm-forming strains.
Effect of the starchy legume source on the in vitro fermentation of the fecal microbiota from normal-weight and obese individuals
Authors: Zárate-Córdova Vareska , Sánchez-Tapia Mónica , Torres Nimbe , Osorio-Díaz Perla
Published: November 2024

The relationship between the microbiota and the health of human beings has been a topic of growing interest in the last few years. Legumes are a rich source of indigestible carbohydrates, including resistant starch, which are substrates of the microbiota. The aim of this study was to evaluate the effect of the indigestible fraction of legumes on the fecal microbiota of normal-weight and obese donors. Accordingly, a preclinical in vitro fermentation model was developed [1]. Short-chain fatty acid (SCFA) production was measured via gas chromatography. In addition, the fecal microbiota was characterized via 16S rRNA sequence analysis. The results revealed that the ratio of the relative abundance of Firmicutes to Bacteroidetes was lower in obese individuals than in normal-weight individuals. Bacteroides was the predominant genus in the fecal inoculum of the obese group. Total SCFA production was significantly greater in the chickpea group than in the lentil and white bean groups among the samples from the normal-weight group. In contrast, white beans presented the highest production of SCFAs in the samples from the obese group. These results suggest that fermentation products (SCFAs) are determined by the components of the legumes, including resistant starches, and the type of microbiota donor (normal-weight or obese individuals).
Effects of the Beach Chair Position on Respiratory Mechanics in Patients with Chronic Obstructive Pulmonary Disease Hospitalized in Intensive Care Unit
Authors: Yilmaz Gulseren , Erol Pelin Kilic , Esen Osman , Ozbey Taylan , Balkan Bedih , Kaya Ebru , Sahin Ayca Sultan , Salihoglu Ziya
Published: November 2024

Background: Chronic obstructive pulmonary disease (COPD), which exhibits high morbidity and mortality rates, is a respiratory illness associated with persistent airflow restriction. This study purposed to examine effects of beach chair position on respiratory mechanics in individuals with COPD hospitalized in intensive care unit (ICU) to assess its effectiveness compared to supine position.
Methods: Forty-six participants with COPD, hospitalized in ICU and supported with invasive or non-invasive mechanical ventilation were included in this prospective study. The subjects were initially placed in the supine position. A few hours later, the patients were shifted to spend at least 16 hours a day in the beach chair position. Mechanical ventilator data was recorded every hour in each position. The principal outcome of this study included comparison of compliance, elastance, peak airway resistance, time constant, resistance airway, pH, PCO2 and PO2 data in supine and beach chair positions.
Results: In comparison to supine positioning, beach chair positioning resulted in significant enhancement in compliance (35.98±17.51 ml/cm H2O vs. 44.69±28.74 ml/cm H2O, p value=0.009) and elastance (29.59±11.87 cm H2O/L vs. 39.86±41.55 cm H2O/L, p value=0.009) whereas peak airway pressure, time constant, resistance airway, pH, Pco2 and Po2 did not significantly differ between supine and beach chair position.
Conclusions: Beach chair positioning improves lung compliance and elastance in individuals with COPD in ICU when compared to supine positioning. This study suggests that beach chair position can be advantageous and favorable in terms of respiratory mechanics for COPD patients.
The Uncertainty Inherent to DEM Simulations: Insights from an Interlocking Parcel Model
Authors: Maier Lukas , Mitterlindner Michael , Benabchiasli Hadie , Fasching Gregor , Radl Stefan
Published: November 2024

In industrial applications, the handling of heterogeneous mixtures of phases and materials poses challenges for direct measurements and experiments, necessitating complementary modeling approaches. The Discrete Element Method (DEM) is commonly used for simulating the flow of granular systems, typically with spherical particles. However, certain applications, such as recycled polymers and batteries, require alternative non-convex particle representations in DEM simulations. Tetrapods are a promising shape candidate for modeling the flow behavior of such materials, as well as the associated uncertainty. We investigate the impact of the tetrapods’ properties on the outcome and uncertainty inherent to DEM-based simulations. We demonstrate that tetrapods are effective for modeling interlocking materials, with their shape and size parameter significantly affecting interlocking behavior. Most interestingly, we can correlate the shape and size of tetrapods to the uncertainty inherent to our simulations. Specifically, we find that this uncertainty is positively correlated with both tetrapod size and the interlocking parameter ξ/D that quantifies their non-convexity. Lastly, we provide guidelines for selecting optimal tetrapod parameter sets for accurately modeling materials based on mean and variability measured in experiments.
Gait Speed as a Superior Screening Indicator for Mild Cognitive Impairment Compared to Walk Ratio and Dual-Task Cost: A Cross-Sectional Study
Authors: Wang Xiaoqin , Wu Jiani , Tian Qi , Liu Xintong , Yu Weihua , Lü Yang
Published: November 2024

Background
The most accurate and sensitive quantitative indicator for screening patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI) had yet to be established. This study aimed to assess the comparative efficacy of gait speed, walk ratio, and dual-task cost (DTC) in detecting patients with SCD and MCI.
Methods
Our study involved the measurement and comparison of clinical features and gait indicators among 96 patients with MCI, 66 patients with SCD, and 50 individuals with normal cognition (NC). The correlation analysis, receiver operating characteristic curves (ROCs), and binary logistic regression analysis were utilized to investigate the relationship between gait indicators, SCD, and MCI.
Results
The female patients exhibited a greater susceptibility to SCD and MCI (p < 0.001). Significant differences in gait speed, walk ratio, and DTC were observed between NC and MCI group, as well as between SCD and MCI group (all p < 0.05). However, no significant differences were identified between NC and SCD group. After adjusting for gender, age, education level, Body mass index (BMI), and Mini-mental State Examination (MMSE) scores, a significant correlation was observed between gait speed and the risk of developing MCI. Importantly, the ROC curve showed that the AUC of dual speed is the highest at 0.7662 [95% CI (0.6935,0.8388)]. The AUCs of single speed, single walk ratio, dual walk ratio, and DTC were 0.7333, 0.6027, 0.6609, and 0.5907, respectively. Notably, the DTC had no predictive ability (p = 0.55).
Conclusions
The gait speed, walk ratio, and DTC could identify MCI but were not effective in identifying SCD. Furthermore, gait speed emerged as the most accurate and sensitive indicator for identifying individuals with MCI when compared to walk ratio and DTC.
Interaction between TUG1 and METTL3 dynamically regulates liver cancer cell self-renewal
Authors: Hou Ping , Wu Rongshou , Luo Juan , Deng Jianyong , Zhang Rongguiyi , Liu Weiwei , Wang Jiakun , Wu Linquan , Li Enliang
Published: November 2024

Background
The long non-coding TUG1 regulates the mRNA stability of target genes by acting as a competing endogenous RNA in the cytoplasm. However, its function in the nucleus and the underlying mechanism are unknown. We examined the potential interaction between TUG1 and METTL3 and the underlying molecular mechanism in liver cancer cells.
Methods
The expressions of TUG1 and METTL3 in hepatocellular carcinoma (HCC) tissues and liver cancer cell lines were examined by quantitative RT-PCR, western blotting, and fluorescence in situ hybridization. Loss of function experiments were used to examine the role of TUG1 and METTL3 in HCC. A liver cancer tissue microarray was used to identify the influence of METTL3 on prognosis and clinical outcomes. In vitro analyses, whole transcriptome sequencing, RNA sequencing, and database analyses were performed to investigate the molecular mechanism of TUG1 and METTL3 in liver cancer.
Results
TUG1 and METTL3 were localized in the nucleus of liver cancer cells. Knockdown of TUG1 and METTL3 decreased the proliferative and migration ability of liver cancer cells in vitro, and METTL3 knockdown promoted tumorigenicity in vivo. High METTL3 expression correlated with unfavorable prognosis of HCC patients. Mechanistic studies revealed that TUG1 regulates METTL3 transcriptional expression by binding and recruiting EZH2 to the METTL3 promoter and increasing H3K27me3 levels. TUG1 is regulated by METTL3 in a m6A-YTHDC1-dependent manner. Knockdown of METTL3 substantially abolished the m6A level of TUG1 and augmented TUG1 expression. METTL3 and EZH2 proteins may indirectly interact through the “bridge” of TUG1. The interaction between TUG1 and METTL3 may play a role in liver cancer self-renewal.
Conclusion:
TUG1 may epigenetically repress METTL3 transcription in liver cancer cells by binding and recruiting EZH2 to the METTL3 promoter region, resulting in increased H3K27me3 levels. METTL3 regulates TUG1 transcription in an m6A-dependent manner. The interaction between METTL3 and TUG1 dynamically regulates liver cancer cell self-renewal activity.
Exploring the Impact of Emotional Intelligence and Self-Efficacy on Academic Achievementamong Adolescents in Injibara Sub-City, Northwest Ethiopia
Authors: fetene muluneh
Published: November 2024

Emotional intelligence refers to the ability to recognize the importance of emotions, understand their connections, and use this understanding to analyze and solve problems. Selfefficacy beliefs, as defined by Bandura, are one’s internal convictions about their ability to perform tasks effectively. This study explores the relationship between emotional intelligence, academic self-efficacy beliefs, and academic success among high school students. Using a crosssectional design, data were collected from 200 students across two of three senior secondary schools. The sample was selected through purposive and random sampling, comprising students from four grade levels (Grades 9–12).Students’ stress management skills were evaluated using a stress management scale with a Cronbach's alpha of 0.77. Emotional intelligence was assessed using the Schutte Self-Report Emotional Intelligence (SSEI) Test, which consists of 33 items rated on a five-point Likert scale, achieving a reliability score of α = 0.88. One-way ANOVA and multiple regression analyses were employed to examine the association between emotional intelligence, self-efficacy, and academic achievement. The results indicated that late adolescents had a significantly higher mean score (M = 146.26) compared to middle (M = 132.94) and early adolescents (M = 119.79), with F = 98, df = 2, p<0.05. Findings revealed that emotional intelligence and self-efficacy beliefs together accounted for 63% of the variance in academic achievement. Thus, it can be concluded that students' self-efficacy beliefs and emotional intelligence significantly contribute to academic success.
The impact of genotype transformations and aneuploidy on genomic prediction accuracy in polyploid species: a simulation study
Authors: Chen Chensong , Ross Elizabeth , Dinglasan Eric , Powell Owen , Hayes Ben
Published: November 2024

The accuracy of genomic prediction for key traits in sugarcane remains low relative to other crops, even with growing reference sets. This is potentially due to high-level polyploidy, frequent aneuploidy and complex genetic architectures. Here we aim to assess the impact of genotype transformations typically used in polyploid crops on the accuracy of genomic prediction. We focus on the effect of using “diploid” genotype calls and aneuploidy. We simulated a sugarcane genome with multi-species ancestry and genome duplications, resulting in 96 chromosomes. We included a range of allele dosage to phenotype maps across ploidies including additive linear, dominant, non-linear sigmoid and log shaped maps. Genomic prediction accuracies were compared from six algorithms including genomic BLUP (GBLUP), extended GBLUP, BayesR, Multilayer perceptron, Convolutional neural network and Attention network. Accuracy of prediction for phenotypes controlled by a higher proportion of additive effects were more sensitive to diploid transformation and aneuploidy events. Conversely, accuracy of prediction for phenotypes involving directional dominance were less affected by diploid transformation but were still substantially affected by aneuploidy. For traits controlled by non-linear allele dosage to phenotype maps, the predictive accuracy was significantly affected by diploid transformation, but the influence of aneuploidy was not obvious. Extended GBLUP performed well and gave higher accuracies than other linear based models across most of scenarios, while the DL models were more competitive when the allele action across ploidies became more complex. Overall, our results demonstrate that genotypes that capture allele dosage should be used in genomic prediction for complex polyploids.
GRBMTI: A Multi-Feature Fusion Approach Combining GraRep and RNA2vec for MiRNA-MRNA Interaction Prediction
Authors: Shi Tai-Long , Wong Leon , Wang Lei , You Zhu-Hong , Yu Chang-Qing , Jiang Chen , Liang Si-Zhe
Published: November 2024

MicroRNA (miRNA) interactions with messenger RNA (mRNA) are critical in biological processes, and predicting these interactions is crucial for understanding their mechanisms. Given the limitations of traditional biological experimental methods, developing appropriate predictive models to generate high-quality potential targets has become increasingly prevalent in this field. However, current predictive methods are problematic because they rely solely on potential miRNA target sites instead of utilizing the entire mRNA sequence, leading to potential feature loss. Considering the limitations of current predictive methods, we introduce a new deep learning model, GRBMTI, designed to fully utilize both the node and sequence features of miRNA and mRNA to enhance the predictive performance of miRNA-targeting mRNA interactions. For feature extraction, we use RNA2vec to train on RNA data and obtain RNA word vector representations, followed by using CNN and BiGRU to mine RNA sequence features, while GraRep is used for obtaining node features. Finally, DNN is employed to merge sequence and node features, enhancing the integration of features to accurately predict miRNA-mRNA interactions. The GRBMTI model demonstrates robust performance on the MTIS-9214 dataset, with an accuracy of 85.89%, AUC of 0.9389, and AUPR of 0.9392, alongside high cross-dataset consistency. These results underscore its notable referential value for advancing the study of miRNA-target mRNA interactions, indicating its utility and relevance in the field.
Optimizing Staffing for a New Medical Facility
Authors: Irwin R. B. , Le M. A. , Muindi P. M. , Wang D. X. , Lu Y. A. , Koch C. E. , Velumani S.U.
Published: November 2024

When a new medical facility is planned, there is a need for staff members of various job roles and levels. For each of these roles, there are several different classifications for staff. Each of these classification groups have their respective advantages and disadvantages in terms of cost, productivity, new ideas, and other characteristics. These characteristics, which have a continuous range of values, differ for each type of job role. In addition, there are boundary conditions, which only have binary value, that also limit the proportion for each classification group. While the number of classifications is not limited, this publication will consider three primary classifications for staff: early career hires, experienced hires, and (experienced) transfers. This article details a method for using these metrics and boundary conditions to optimize the staffing using a visualization approach. While the equations for the metrics and boundary conditions can be solved directly, they do not answer how the optimum solution is obtained in the way that visualizations can. Since each facility and location may have its own unique requirements, this article discusses general principles and mathematical processes rather than exact prescriptions.
2.xD - Particle-in-Cell simulation of radio-frequency ion thruster RIT-2.5 using cylindrical coordinate system
Authors: Joshi Ninad , Auffarth Philipp , Heiliger Christian
Published: November 2024

A kinetic simulation of radio-frequency plasma is a highly sough tool for ion thrusters.A Particle-in-Cell code, named \emph{PlasmaPIC}, has been developed to simulate plasma inside small-sized thrusters using massive parallization running on High Performance Computing.For particle-based simulation of the plasma in larger structures, the computational power increases rapidly. To overcome this limitation the variant named \emph{PlasmaPIC-Cyl} is developed using polar coordinates that use either symmetry conditions or a partial 3D approach.In this paper, the 2.xD - approach for the simulation of radio-frequency ion thrusters is described.It has been used for detailed simulation of plasma properties like density, the temperature inside the plasma chamber and the extraction of ion beam. The code is employed for the characterization of a radio frequency ion thruster, RIT-2.5, a thruster with a diameter of 2.5 cm. In this paper, the simulations are compared with the measurements so some extend to validate numerical model.We further show its applicability in grid erosion calculations which can be used for lifetime prediction of the gridded thrusters.
The effect of large-channel endoscopy combined with visualization of trephines for foraminoplasty on lumbar biomechanics: a finite element analysis
Authors: Li Duohua , Fu Hao , Zhao Sicong , Gao Xiao , Wu Dongying , Feng Hu , Sun Wei
Published: November 2024

Purpose: This study aimed to evaluate the effect of the degree of facet joint resection under the combined action of large-channel endoscopy and visualized trephines on lumbar biomechanics.
Methods: The original CT data of a healthy male volunteer were selected. An L3-5 lumbar spine model, M0,was established via thethree-dimensional finite element method. Different degrees of resection of the superior articular process of L4 were simulated via a visualized trephine during the operation, and six models were established (M1: tip resection; M2: resection of the ventral 1/3; M3: resection of the ventral 1/2; M4: resection of the ventral 2/3; M5: resection of the ventral 3/4; and M6: complete resection). Loads were applied to the model to simulate six motions of flexion, extension, left/right lateral bending, and left/right rotation. The stress distributions of the vertebral body, intervertebral disc and articular cartilage of the L3-4 segment and adjacent segments wereobserved.
Results: When the degree of facet joint resection does not exceed 1/2, there is no significant change in the pressure of the vertebral body, intervertebral disc and facet joint in M1, M2 and M3. When the degree of facet joint resection exceeds 1/2, the pressure on the L3, L4 and L5 vertebral bodies in models M4, M5 and M6 increases significantly. The pressure of the L3-4 intervertebral disc increases while the pressure of the L4-5 intervertebral disc tends to decrease. The pressure of the facet joints on both sides of L3-4 increases, and the pressure increase on the left facet joint is relatively large.
Conclusion: When more than half of the superior articular process of L4 is resected under large-channel endoscopy, the stress on the vertebral body, intervertebral disc and articular cartilage of the L3-4 segment increases, which may cause iatrogenic instability but has no significant effect on the stress on the vertebral body or intervertebral disc of adjacent segments.
DARUMA: Your gateway to fast and easy prediction of intrinsically disordered regions
Authors: Shimizu Itsuki , Ida Takuya , Ozawa Yuhei , Fukuchi Satoshi , Anbo Hiroto
Published: November 2024

Background Intrinsically disordered proteins (IDPs) are proteins that contain intrinsically disordered regions (IDRs), which lack stable three-dimensional structures under physiological conditions. These regions are known to play crucial roles in many biological processes. While IDRs can be predicted from their amino acid sequences, and several accurate IDR prediction programs have been developed, such programs often require substantial computational resources, including long execution time, large databases for homology searches, and advanced computer architectures. Since DNA sequence data continues to grow rapidly, particularly at a genomic scale, there is an increasing need for fast and accurate IDR prediction programs that demand fewer computational resources.Results In this study, we developed DARUMA (Disorder order clAssifier by Rapid and User-friendly MAchine), an IDR prediction program designed for speed and ease of use. DARUMA achieves fast performance by avoiding iterative homology searches while delivering accuracy comparable to the latest predictors that use sequence profiles. In addition to the advantage of execution time, DARUMA requires no additional homology search programs and operates using standard Python libraries, making it easy to install and run on users’ own environments without the need for specialized computational resources.Conclusions DARUMA is a fast, accurate, and user-friendly IDR prediction tool available as both a web interface and a stand-alone distribution at https://antepontem.org/daruma/. Its unique features make it accessible to a wide range of users and a valuable tool for IDR research.
Towards low-cost and PCR free field-based community metabarcoding
Authors: Plewnia Amadeus , Krehenwinkel Henrik , Heine Christopher
Published: November 2024

1. DNA metabarcoding has revolutionized our ability to monitor ecosystems. However, the method is still rarely used in developing countries where resources are limited and fieldwork is challenging. 2. To overcome this, we designed a comprehensive workflow allowing rapid community metabarcoding with minimum, self-manufacturable equipment in the field. We combine cellulose-based fast DNA extraction, optimized for environmental samples, with isothermal recombinase polymerase amplification (RPA). We demonstrate that stepwise RPA-based reamplification allows the introduction of non-homologous sequence adapters and index sequences, allowing the complete isothermal preparation of libraries for high-throughput sequencing. 3. Compared to laboratory-dependent approaches, the novel workflow halves costs and reduces hands on time more than fourfold. Our workflow makes metabarcoding broadly accessible for practitioners, conservationists and researchers without extensive laboratory equipment. Using environmental DNA from fish mock communities and a riverine ecotone, we demonstrate the sensitivity of the workflow and its interconnectivity with existing approaches. 4. Making metabarcoding available to researchers around the globe, our approach signifies a critical contribution to the immense task of characterizing and protecting earth’s biodiversity.