bluuebunny/crossref_metadata_2025_split huggingface dataset:
Roles of caregiver-child interaction on the association of socioeconomic status with early childhood development among children aged 0-6 years in a rural county in Central China
Authors: Chang Rui , Li Chunan , Wei Mengna , Jiang Yanfen , Zhang Jianduan 
Published: December 2023

Abstract
Objective
Socioeconomic status (SES) has been previously associated with children’s early development, health, and nutrition; however, evidence about the potential role of caregiver-child interaction in such associations was limited. This study aimed to explore the effect of caregiver-child interaction on the associations of SES with child developmental outcomes, including early neurodevelopment and social-emotional behavior.
Methods
A cross-sectional survey was conducted among 2078 children aged 0–6 in a rural county that just lifted out of poverty in 2020 in Central China. The Ages & Stages Questionnaires-Chinese version (ASQ-C) and the Social-Emotional (ASQ: SE) questionnaire were used to assess children's early neurodevelopment and social-emotional behavior, respectively. Caregiver-child interaction was evaluated with the Brigance Parent-Child Interactions Scale. Regression-based statistical mediation and moderation effect were conducted with the PROCESS macro of SPSS.
Results
Children with low SES had an increased risk of suspected neurodevelopmental delay [OR = 1.92, 95% CI: 1.50, 2.44] and social-emotional developmental delay [OR = 1.31, 95% CI: 1.04, 1.66]. The caregiver-child interaction partially mediated the associations of SES with child developmental outcomes; the proportion of the indirect effect was 14.9% for ASQ-C total score and 32.1% for ASQ: SE score. Moreover, the caregiver-child interaction had a significant moderation effect on the association of SES with ASQ-C total score (P＜0.05). A weaker association was observed in children with high-level caregiver-child interaction than in medium and low ones. Similar moderating effects were found among boys but not girls.
Conclusion
Caregiver-child interaction plays a vital role in the relationship between SES and child development. Children with low SES households will benefit more in terms of their early development from intervention programs strengthening caregiver-child interaction.
Optimizing Drought Prediction with LSTM and SPEI: A Two-Tier Ensemble Framework with Meta-Learner and Weighted Sum Fusion
Authors: Gaurihar Mahima , Paonikar Kaustubh , Dongre Snehalata , Khobragade Prashant , Agrawal Rahul , Saraf Pranay 
Published: December 2023

Abstract

Climate-induced water scarcity, especially in regions prone to gradual drought onset, poses a significant hurdle in effective water resource management. In this study, advanced data science techniques are harnessed, focusing on Latur as a region susceptible to prolonged dry spells. Latur, situated in the drought-prone Marathwada region, struggles with erratic rainfall and severe water stress, impacting both agricultural activities and daily necessities. Escalating temperatures intensifies water loss, heightening the risks of drought due to climate change. By leveraging time series data encompassing crucial environmental parameters such as rainfall and temperature, an improved model is developed for precise detection and visualization of droughts. Our approach combines Long Short-Term Memory (LSTM) layers with the Standardized Precipitation Evapotranspiration Index (SPEI), employing a multi-model ensemble framework that's further enhanced with meta-learning and weighted ensemble techniques. This innovative model not only showcases a notable enhancement in accuracy compared to conventional LSTM models but also exhibits adaptability and robustness across a wide range of datasets. The incorporation of SPEI serves to fine-tune the assessment of drought conditions. Selected data from the timeline spanning 1980 to 2022, with monthly timestamps, aligns with the specific characteristics of Latur's climate and serves as the basis for our approach. This project introduces a novel approach for drought forecasting, leveraging a Meta-Learning Ensemble model that synergistically combines various machine learning algorithms, including Random Forest, Gradient Boosting, and Neural Networks, to deliver highly accurate and actionable predictions. The ensemble approach not only capitalizes on the strengths of individual models but also significantly reduces the potential errors, offering a robust and reliable forecasting system. The system is particularly designed for researchers, policymakers, and farmers who need precise and timely information to make informed decisions. Predictive metrics are rigorously evaluated using statistical measures such as Mean Absolute Error and R-Squared, ensuring the highest level of accuracy. The model outputs are not just statistical metrics but actionable insights, allowing for pre-emptive measures to mitigate the adverse effects of drought. This advanced forecasting system serves as a groundbreaking contribution to climate science and natural disaster management.
MSC Codes - 68T01, 68T07
JEL Codes - C32
Prediction of Weld Bead Geometry of AA5083 Using Taguchi Technique: in the Presence of Siliconized Zn-Graphene Oxide Complex Nanoparticles
Authors: Rahmati Farhad , Kolahan Farhad , Aghakhani Masood 
Published: December 2023

Abstract

The fact that the weld geometry is vital in the cooling rate and determining the weld metal quality is obvious to all. So, the Taguchi technique was used to determine the process parameters of gas metal arc welding to access optimal weld bead geometry. In addition, this study investigated the effect of siliconized Zn-graphene oxide complex nanoparticles as one of the input parameters on the weld bead geometry, including the penetration depth, bead height, and bead width of the weld. Hence, the S/N and ANOVA statistical analyses were done to establish the relationship between the gas metal arc welding process's input parameters and output variables to achieve the weld bead with the highest penetration depth and the lowest bead height and width. The results showed that in the L00 sample compared to the L0 sample (sample without nanoparticles), in addition to having a very high penetration depth, the ultimate tensile strength, and yield strength have increased by 58.84% and 28.24%, respectively.
Individualized Supportive Care for Women with Recurrent Pregnancy Loss: Addressing Preferences and Providing Personalized Support
Authors: Chiba Satomi , Athurupana Rukmali , Yang Titi , Liu Siyu , Yokomizo Akemi , Nakatsuka Mikiya 
Published: December 2023

Abstract

Background: Women who have miscarriages/stillbirths are likely to have anxiety, depression, grief and stigma. Supportive care (SC) is important to ease the above conditions of women with recurrent pregnancy loss (RPL). However, the specific contents of SC preferred by women with RPL, and their satisfaction level with what they have experienced is poorly understood.
Method: A cross-sectional study was conducted on women who visited outpatient clinics at two hospitals in Japan from June to September 2019. Awareness of SC, preferences, experience, and the level of satisfaction regarding 26 supportive care options, the number of doctors consulted and the frequency of ultrasound examinations were assessed.
Results: Responses from 142 participants were analyzed,and less than 10.0% of them were aware of SC. Women with RPL preferred their husbands (99.3%) and mothers (44.8%) as their primary sources of support. The majority preferred to consult with one doctor (43%) and have a weekly ultrasound examination (54.9%). Doctors (85.9%) and nurses (82.4%) were the preferred medical staff. Six categories of supportive care were identified, with preference rates of 60.0% or higher, but the experience rates were 47.0% or lower. Women who had experienced more than four miscarriages/stillbirths showed significant associations with preferences related to ‘information, education, and planning’ , ‘emotional support and psychological care’ and ‘sensitivity and empathy’ categories.
Conclusion: Preferences for SC ranged widely among women with RPL, and the majority preferred a care plan incorporating emotional support, psychological care, sensitivity and empathy involving one doctor with an ultrasound examination performed once a week.The study emphasizes the importance of tailor-made care, addressing the specific needs and preferences of each individual rather than providing routine care.
Parameter estimation for second-order SPDEs in multiple space dimensions
Authors: Bossert Patrick 
Published: December 2023

Abstract

We analyse a second-order SPDE model in multiple space dimensions and develop estimators for the parameters of this model based on discrete observations of a solution in time and space on a bounded domain. While parameter estimation for one and two spatial dimensions was established in recent literature, this is the first work which generalizes the theory to a general, multi-dimensional framework.Our approach builds upon realized volatilities, enabling the construction of an oracle estimator for volatility within the underlying model. Furthermore, we show that the realized volatilities have an asymptotic illustration as response of a log-linear model with spatial explanatory variable. This yields novel and efficient estimators based on realized volatilities with optimal rates of convergence and minimal variances. For proving central limit theorems, we use a high-frequency observation scheme. To showcase our results, we conduct a Monte Carlo simulation.
MSC Classification: 62F12, 62M10, 60H15
Feasibility of Verification and Evaluation on Optical Devices by 3D Printing Technology
Authors: Yeh Chia-Hung , Lin Heng-Yi 
Published: December 2023

Abstract

The intricate structural design of products within the optoelectronics industry plays a crucial role in achieving optimal optical outcomes. Consequently, the demand for precision plastic optical components has seen a notable rise in recent years. While injection molding technology remains the predominant method for fabricating plastic optical components, the market is currently trending towards features such as small-batch and diversified production, a streamlined development process, reduced costs, and swift delivery. This shift has prompted the industry to progressively move towards customization. Nevertheless, the conventional production model faces challenges related to production flow, mold cost assessments, expenses associated with hiring skilled professionals, and even a scarcity of talent. These challenges, in turn, have constrained the development of relevant industries. Against this backdrop, it is imperative to explore potential solutions that can swiftly replace traditional manufacturing processes in order to address these issues. In this study, we evaluated the feasibility of a headlight lens manufactured using a 3D printing process, incorporating a quality control (QC) inspection methodology. As a basis for comparison, we also employed a traditional manufacturing approach, utilizing CNC machining and reverse engineering. Diverse measurement techniques were applied, encompassing Coordinate Measuring Machine (CMM), Computer Aided Verification (CAV), White Light Interferometry (WLI), and Integrating Sphere, to analyze the radius of curvature, surface roughness, and transmittance of the headlight lens surface profile. These techniques were employed to validate the gathered data. The study results indicate that the lens products manufactured through 3D printing exhibit remarkable precision, with only a 0.558% margin of error regarding the radius of curvature of the profile, a surface roughness (Ra value) of 0.020175 µm, and a transmittance of 92.537%. One of the key advantages of the 3D printing process is its ability to efficiently realize complex structural designs at high speed and low cost. In cases where customization is required, 3D printing unquestionably outperforms conventional manufacturing methods. In this study, we have effectively addressed the issue of response time in traditional manufacturing processes by implementing rapid verification to accommodate various environmental demands.
What advances monsoon onset over India?
Authors: Goswami Bidyut , Muller Caroline 
Published: December 2023

Abstract

In the monsoon regions, atmospheric convection is typically stronger over the oceans than over land. Rainfall over land is potentially affected by the dynamic response of the atmosphere to deep convection over the adjacent oceans. Here, we show, in the case of the Indian summer monsoon, that enhanced atmospheric deep convection over the Bay of Bengal ∼2 weeks before onset, advances monsoon onset over India. Since the sea surface temperature of the Bay of Bengal is already hot during spring, warm anomalies further enhance convection that drives a convergence of low-level winds. A part of this circulation response blows from central India to the Bay of Bengal. It paves the way for monsoon circulation over India and advances the onset of monsoon. We tested this hypothesis using an atmospheric model forcing it by warm sea surface temperature anomalies over the Bay of Bengal 10-15 days before monsoon onset.
A high-density linkage map and sex-determination loci in Pacific white shrimp (Litopenaeus vannamei)
Authors: Garcia Baltasar Fernandes , Mastrochirico-Filho Vito Antonio , Gallardo-Hidalgo Jousepth , Campos-Montes Gabriel Ricardo , Medrano-Mendoza Thania , Caballero-Zamora Alejandra , Hashimoto Diogo Teruo , Yánez José Manuel 
Published: December 2023

Abstract
Background Expansion of genomic resources for the Pacific white shrimp (Litopenaeus vannamei) such as the construction of dense genetic linkage maps, is crucial for the application of genomic tools to improve economic relevant traits. Sexual dimorphism exists in Pacific white shrimp, and mapping of the sex determination region in this species may help in the future reproductive applications for this species. We constructed male, female and sex-averaged high-density genetic maps using a 50K single-nucleotide polymorphism (SNP) array followed by a genome-wide association study (GWAS) to identify genomic regions associated to sex in white shrimp.Results The genetic map yielded 15,256 SNPs assigned to 44 linkage groups (LG). The length of the male, female and sex-averaged maps were 5,741.36, 5,461.20 and 5,525.26 cM, respectively. The LG18 was the largest for both sexes while the LG44 was the shortest for males and LG31 for females. A sex determination region was found on LG31 with 21 statistically significant SNPs. The most important SNP was previously identified as a sex-linked marker and it was able to identify 99% of males and 88% of females. Although, the other significant markers had lower ability to determine sex, putative genes were found intercepted or close to them. The oplophorus-luciferin 2-monooxygenase, serine/arginine repetitive matrix protein and spermine oxidase genes were identified as candidate with possible participation in important processes of sexual differentiation in shrimp.Conclusions Our results provided novel genomic resources for shrimp, including a high-density linkage map and new insights regarding the sex determining region in L. vannamei, and may be both useful in future genetics and reproduction applications.
Effects of combination of Cryptococcus neoformans and IFN-γ, IL-4 or IL-27 on human bronchial epithelial cells
Authors: Neto João Batista Camargo , Cunha Maiara Medeiros , Santos Wanessa Maria dos , Silva Paulo Roberto da , Andrade-Silva Leonardo , Silva-Vergara Mário León , Rogerio Alexandre Paula 
Published: December 2023

Abstract
The innate immune response and cytokine milieu in the airway mucosa triggered by bronchial epithelial cells are crucial for the establishment or protection of cryptococcosis. In experimental cryptococcosis, Th2 immune response is associated with host susceptibility, while Th1 cells are associated with protection. Additionally, lack of IL-27 receptor alpha increases the Cryptococcus neoformans burden in the lung. Here, we evaluated the effects in vitro of the IL-4, IFN-γ or IL-27 and C. neoformans combination on human bronchial epithelial cells (BEAS-2B). BEAS-2B were stimulated with IL-4, IFN-γ or IL-27 (100  ng/mL) and/or live yeast forms of C. neoformans (multiplicities of infection (MOI) of 1-100). After 24h of infection, IL-6, CCL2 and IL-8 productions and STAT1 and STAT6 phosphorylations were evaluated. We found that cells stimulated with all cytokines (IL-4, IFN-γ or IL-27) followed by C. neoformans infection (MOI of 100) caused a reduction in IL-6 and/or CCL2 production and in STAT6 (induced by IL-4) and STAT1 (induced by IL-27 or IFN-γ) activation when compared to cells stimulated only with C. neoformans, IL-4, IFN-γ or IL-27. In vitro phagocytosis assay showed that the IL-27 and C. neoformans combination decreased the internalized fungus rate, while IL-4 and IFN-γ with C. neoformans favored fungus internalization. Association of C. neoformans with either of these cytokines promoted a higher fungal growth. Our data demonstrate that live yeast forms of C. neoformans with IL-4, IFN-γ or IL-27 induced an anti-inflammatory effect and may lead to a susceptible fungal growth environment in airway epithelium.
A novel validated RP-UPLC for the simultaneous estimation of Emtricitabine, Tenofovir Disoproxil Fumarate, Cobicistat and Elvitegravir in tablet dosage form
Authors: Vemireddy Swapna , Kumaraswamy Gandla 
Published: December 2023

Abstract
The present study provides us a single analytical tool for the determination of elvitegravir, cobicistat, emtricitabine and tenofovir disoproxil fumarate in dosage forms. This method helps us to separate and detect the four active pharmaceutical ingredients in a single run. The objective is to develop and validate a simple Ultraphase liquid chromatography method for the simultaneous determination of emtricitabine, tenofovir disoproxil fumarate, elvitegravir and cobicistat in dosage tablets. For this method, an Agilent 1200, high performance liquid chromatography system, Acquity Ethylene Bridged Hybrid technology (BEH) C18, 1.7μ. 100 x 2.1 mm column was used. The gradient program was adjusted at 0.3 ml/min flow rate and 10 μl injection volumes were maintained. Detection wavelength of 260 nnm is found to specific and could able to provide precise area counts for each drug. Calibration curves depicting a proper linearity response from concentration versus area observed for each drug with correlation coefficients of greater than 0.99. The eluted compounds were monitored at 240 nm. The column oven temperature was maintained at 30°. The developed chromatographic method was validated for selectivity, linearity, precision, accuracy, sensitivity, robustness, and system suitability.
A non-linear distance measure on Fermatean fuzzy sets based on cross-information disparity and its applications
Authors: Sarmah Kaushik Kr. , Gohain Brindaban , Gogoi Surabhi , Chutia Rituparna 
Published: December 2023

Abstract
Distance measure on Fermeatean Fuzzy Sets (FFSs) has been emerged as a new extension in the process of diversification of analyzing the similarity degree between two fuzzy sets in the recent years. Due to its ability to address various real world problems with uncertainties involving decision-makings, pattern-recognition, data-clustering, disease diagnosis etc. different measures have been evolved time to time and established their proficiency in diverse manner and the process is still in continuation. However, due to various limitations in some of the existing distance measures on FFSs, their efficiency on delivering reasonable results in some real life situations becomes very low. This leads to the requirement of developing a new distance measure which is efficient in various real life situations. In this paper, a novel distance measure has been introduced to address different real world situations specially categorization problems based on pattern recognition, and discussed about the under-performance of the majority of the existing measures on FFSs regarding their utilization on these situations. The relevance of the current measure has further been discussed towards the fields of decision making, pattern recognition, clustering problem and medical diagnosis.
Associations of dyspnea symptoms with lung function in patients with COVID-19 in the acute period
Authors: Zhang Lin , Wang Lei , Zhu Mengdie , Liu Na , Zhang Nan , Cui Likun , Li Zhifang , Wang Panpan 
Published: December 2023

Abstract

Background Currently, the main prevalent strain of severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) is Omicron, which shows elevated viral load and spread ability, bringing new challenges to pandemic prevention and control. Objective To examine the associations of dyspnea symptoms with lung function in coronavirus disease-19 (COVID-19) patients during the acute period. Methods This study included COVID-19 cases diagnosed by real-time PCR (RT-PCR). These patients were divided into the dyspnea and non-dyspnea groups based on whether they had dyspnea symptoms at the time of admission. Results A total of 29 patients with pulmonary function tests (PFTs) were included in this study. Of all patients, 17.24% (5/29) had severe COVID-19, while the remaining cases were mild or moderate. Lung function was normal, with forced vital capacity (FVC) ≥ 80%, forced expiratory volume in 1 second (FEV1)/FVC ≥ 0.92, and diffusing capacity for carbon monoxide (DLCO) ≥ 80% in 96.55% (28/29), 79.31% (23/29), and 72.41% (21/29) of patients, respectively. Computer tomography (CT) findings were normal in 10.34% (3/29) of patients. Conclusions Multivariate analysis showed that lung function and chest CT parameters are not independently associated with dyspnea persistence in acute COVID-19 patients.
Burden of disease, incidence, and spatial distribution of Schizophrenia in Ecuador from 2011 to 2021 using hospital discharge records
Authors: Mascialino Guido , Carrington Sara J. , Coral-Almeida Marco , Álvarez-Mejía Diana , Torres-Tapia Mabel Estefanía , Rodríguez-Lorenzana Alberto 
Published: December 2023

Abstract

Purpose the aim of this study is to determine the incidence, burden of disease, and spatial distribution of Schizophrenia in Ecuador in a ten-year period. Methods publicly available hospital discharge records from 2011 to 2021 were analyzed to determine incidence, DALYs, and spatial distribution of schizophrenia cases for that period. Results From 2010 to 2021, a total of 10542 schizophrenia cases were reported. There was a significant negative association between time and incidence rates, suggesting an important decrease in schizophrenia cases throughout the study time. The estimated burden of disease of schizophrenia in Ecuador varied from 153.054 to 289.785 per 100,000 population on average depending on the scenario used for estimation. Highest incidence clusters were in Guayas and Pichincha, location of the two most populous cities in the country. Conclusion This is the first study to characterize in detail the incidence and burden of schizophrenia in Ecuador. The results obtained could contribute to the refinement and formulation of health policies, the allocation of government resources and the improvement of health surveillance systems to improve the quality and scope of care provided to individuals affected by this disorder.