bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seismicity Migration and the Upper Crustal Structure in the Xinfengjiang Reservoir
Authors: Huang Runqing , Sun Xinlei , Zhang Peng , Deng Yangfan 
Published: May 2024

Abstract
After the impoundment of the Xinfengjiang Reservoir (XFJR) in Guangdong, China, numerous earthquakes occurred in the area, including a magnitude 6.1 event in 1962. Analysis of historical earthquakes indicates that M ≥ 4 earthquakes began occurring in the northwestern XFJR in 2012, and seismicity has gradually migrated from the southeastern to the northwestern reservoir (NWR). However, the mechanisms governing the migration of seismicity and the current upper-crustal structure beneath the reservoir area remain unclear. In our study, we conducted tomographic imaging by combining waveform data from short-period and permanent stations to construct a 3D velocity model. Our high-resolution velocity models revealed a horizontal fractured zone at ∼5 km depth that extends from the southeastern to northwestern XFJR, and a steep fault that extends to about 9 km depth. These two fractured zones may interact with each other, allowing for fluid infiltration and contributing to earthquake triggering via pore pressure diffusion in the XFJR areas. Furthermore, the calculation of Coulomb stress changes indicated that microearthquakes in the southeastern XFJR may contribute to the seismicity in the NWR. However, the influences of M ≥ 4 earthquakes in the northwestern XFJR on subsequent M ≥ 4 earthquakes in the southeastern XFJR vary differently. Our results provide crucial insights for understanding the migration of microearthquakes in the XFJR area.
KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification
Authors: Ilyas Muhaimin , Anam Syaiful , Trisilowati Trisilowati 
Published: May 2024

Data mining is a very important process for finding out the data interpretation. Data preprocessing is the crucial data mining steps. The existence of missing values in the data is one of the primary issues with data preprocessing. Generally, this can be overcome with mean or median imputation because they are easy to implement. However, the use of these techniques is not recommended because they ignore the data variance. This research develops the Kernel Fuzzy C-Means Optimized by the Particle Swarm Optimizer with Two Differential Mutations (KFCM-PSOTD). KFCM imputation is applied to obtain better estimation values due to its proven ability to recognize patterns in the data. In addition, the PSOTD algorithm is used as an optimization tool to boost the KFCM's performance. PSOTD is adopted because it has more balanced exploration and exploitation capabilities compared to classical PSO. Datasets that have been imputed on KFCM-PSOTD are classified using the Decision Tree algorithm. The results are evaluated using accuracy, precision, recall, and f1 score to determine the quality of the imputed values. The outcomes demonstrate that the KFCM-PSOTD algorithm has a better performance; even the difference in evaluation scores obtained reaches 10% better than other imputation techniques.
An Analysis of the Non-Observance Politeness Maxim on the TV Show Kids Say the Darndest Things
Authors: Salsabila Talitha 
Published: May 2024

The phenomenon of language development in the modern era is increasingly rapid through mass media, one of which is television shows. In addition to providing information, television also provides audiovisual entertainment to attract people to enjoy it. The non-observance maxim of politeness committed by public figures can be found. In this study, the author wants to examine how the non-observance politeness maxim and its implicature is in the video TV Show" Kids Say The Darndest Things" used by the host and children as the guest star. The method used by the author in this study is descriptive qualitative by combining two main theories. Firstly, to identify the type of politeness maxim most frequently unobserved by hosts and children, the author use Leech's theory (1983). Second, analyze the conversational implicature contained in utterances of hosts and children that unobserved maxim politeness with Grice's theory (1975). As a result, the writer found 37 non-observance of politeness maxims and conversational implicatures used by hosts and children as guest stars. The modesty maxim was the most common type used in this TV show, with 27%, followed by the approbation maxim, with 22%. Then, the same percentage of tact maxim and generosity maxim with 16%. Followed by a low rate of agreement maxim of 11% and a maxim of sympathy with 8%. The dominant conversation implicature on this TV Show is an implication that imply arrogance as a result of the non-observance of modesty maxim.The author suggests for further research that wants to examine the same topic to conduct research with different in indirect interaction
IOT Soft Starter Revolutionizes Single-Phase Induction Motor Control
Authors: Hadiyatulloh Moh , Wisaksono Arief 
Published: May 2024

Induction motors often face issues with large initial currents that can disrupt networks and damage the motors. This study designs a soft starter for single-phase induction motors using an IoT-based Arduino Uno system to regulate initial current surges and enable remote monitoring via the Blynk App. The system uses the AC Light Dimmer module controlled by Arduino Uno and Wemos D1 Mini microcontrollers, with the PZEM-004T sensor detecting current and voltage. Experimental results showed a significant reduction in initial current, averaging 0.48 A and 201.90 V within 10 seconds. Additionally, the system allows for monitoring from up to 16 km away using an Android smartphone, providing an effective solution for managing induction motor performance and ensuring reliable operation.
Highlight:

Renewable technology for controlling single-phase induction motor initial current.
Software and system flowcharts illustrate IoT-based motor control.
Significant reduction in initial current demonstrated in induction motor testing.

Keywoard: Induction Motors, Soft Starter, IOT, Arduino Uno, Remote Monitoring.
Development and Characterization of MoO3 / NiFe2O4 Nanocomposite Photocatalyst for Organic Pollutants Removal towards Sustainable Water Remediation
Authors: Ganesh Anju , Simon Sanu Mathew , John Nayomi , Rajan Richu , Thankachan Smitha 
Published: May 2024

Abstract

Photocatalysis is emerging as one of the most important methods for wastewater treatment. Azo dyes are a prominent class of water pollutants that disrupt the balance of the water ecosystem due to its toxicity. Various met.al oxides and their composites are effective in dye degradation due to their band gap range and porosity. Herein, the efficiency of MoO3/NiFe2O4 nanocomposite as a photocatalyst on the degradation of congo red dye for water remediation is studied. MoO3/NiFe2O4 nanocomposite was fabricated by ultrasonication using nickel ferrite nanoparticles prepared from sol-gel autocombustion method and α-MoO3 nanorods were prepared by hydrothermal method. The phase identification of samples was carried out using X- Ray Diffraction (XRD). The spinel structure of NiFe2O4 was confirmed using Fourier Transform Infrared Spectroscopy (FTIR). Transmission Electron Microscopy (TEM) image of ferrite exhibits the formation of nearly spherical particles and Selected Area Electron Diffractometry (SAED) pattern indicates polycrystalline nature. Scanning Electron Microscopy (SEM) images of MoO3 confirm its nanorod morphology. The Field Emission Scanning Electron Microscopy (FESEM) image of nanocomposites disclose attachment of spherical nanoferrite in MoO3 nanorods. The elemental composition of the composite is determined by Energy Dispersive X-ray Analysis (EDAX) and X-Ray Photoelectron Spectra (XPS) analysis. The photocatalytic activity of samples on Congo Red was studied using UV-Visible spectrophotometry and the effect of composition of nanocomposite were studied. MoO3 / NiFe2O4 nanocomposite is found to exhibit maximum efficiency of 74.47% in 30 minutes whereas NiFe2O4 removes only 49.40% and MoO3 52.04%. The scavenger study indicates that the reactive species involved in the reaction mechanism is .OH free radical.The antibacterial activity of the samples on Escherichia coli and Staphylococcus aureus was studied by the well diffusion method.
Effects of Lacticaseibacillus paracasei 207-27 on intestinal function and its regulatory mechanism in patients with chronic constipation
Authors: An Yanjun , Jia Yong , zhang Xiaoling , Li Xiaoqiong , Zhu Liying , Wang Xin , Ze Xiaolei , Li Jinjun 
Published: May 2024

Abstract

Background & Aims: Constipation is a disorder affecting the quality of life of patients, and symptoms following current treatments still need to be improved. Although probiotics treat constipation, the efficacy and safety of this therapy remain controversial. This a randomized, double-blind, placebo-dense controlled trialaimed to investigate the clinical impact of the probiotic bacterium Lacticaseibacillus paracasei 207-27 on chronic constipation.
Methods: We recruited 80 patients aged 18–65 with chronic constipation and divided them into probiotic (Lacticaseibacillus paracasei 207-27) and placebo (maltodextrin) groups. The participants were treated twice daily for 4 weeks, and stool samples and questionnaires were collected before and after treatment. The 16S rRNA sequencing and untargeted metabolomics data were analyzed.
Results: Bowel movements, total short-chain fatty acid, and propionic acid were significantly improved in the probiotic group compared with in the placebo (control) group (p<0.05) following the 4-week intervention. After the intervention, the placebo group had higher Phylum Firmicutes number (p<0.0001) and abundance of Escherichia-Shigella genus (p=0.0257) and Roseburia genus (p=0.0202) but lower abundances of Actinobacteria phylum (p=0.0177), Bifidobacterium genus (p<0.0001), and Roseburia genus (p=0.0001) than the probiotic group. Probiotic intervention reduced the abundance of the Bacteroides genus (p=0.0001) and Blautia genus (p=0.0213) compared with that before intervention (week 0). The analysis of non-target metabolites revealed a significant increase in 3-sulfinoalanine associated with taurine and hypotaurine metabolism in 3-methylxanthine associated with caffeine metabolism and a significant downregulation of 3-methylindolepyruvate associated with tryptophan metabolism after probiotic intervention.
Conclusion: Lacticaseibacillusparacasei 207-27 improved constipation symptoms and altered the intestinal microbiota, which could improve patients’ quality of life.
Trial registration: chictr.org.cn ChiCTR2200056274, 03/02/2022.
Simple workflow for high-titer microbial production of small antibodies
Authors: Ishii Jun , Tominaga Masahiro , Nakamura Yasuyuki , Sasaki Daisuke , Ogura Kazumasa , Suematsu Kohei , Ito Yoichiro , Kondo Akihiko 
Published: May 2024

Abstract

Increasing demand for biologics necessitates the rapid production of antibodies and their mimetics. Herein, we established a rapid workflow to develop a fermentation process for high-titer production of small antibodies using the yeast Komagataella phaffii. We screened yeast strains with the optimal gene copy number of target proteins and applied them to a feedback-controlled, high-cell density fed-batch fermentation, and achieved high-titer production of small antibodies with titers 3–7 g/L.
Title：Prevalence and risk factors of overweight and obesity among children and adolescents in Hangzhou: a cross sectional study
Authors: Zhao Lijuan , Jiang Xiujun , Zhang Wenhui , Hao Li , Zhang Yuting , Wu Shangxi , Xu Hong , Zhu Bing 
Published: May 2024

Abstract

Purpose: To investigate the prevalence and influencing factors of overweight and obesity among primary and secondary school students in Hangzhou city, and provide ideas for the formulation of overweight and obesity prevention and control measures.
Methods: A total of 353,783 primary and middle school students in 13 districts of Hangzhou city were investigated with physical examination. Using a stratified cluster random sampling method, 6,148 students of primary and junior high school from 24 schools were investigated via questionnaires. Univariate and multivariate logistic regression were used to screen possible risk factors of overweight and obesity.
Results: The overall overweight and obesity rate was 27.20%, with the increase of the school period, the prevalence of overweight and obesity among students showing downtrend (χ2=14.47, P＜0.01). The prevalence of overweight and obesity in girls is lower than that in boys (χ2=69.79, P＜0.01); the prevalence of overweight and obesity in urban students is higher than that in suburban students (χ2=2.01, P=0.02). High blood pressure, had menstruation or nocturnal emission, eating fresh fruit ≥1 time a day, daily brushing ≥2 times and bullying victimization are independently associated with higher prevalence of overweight and obesity. Moreover, the increased school period, girls and boarding student are protective factors for overweight and obesity.
Conclusions: The overweight and obesity prevalence among children and adolescents in Hangzhou is still at a relatively high level, and is affected by most factors such as high blood pressure, had menstruation or nocturnal emission, eating fresh fruit frequency, school period and gender, needing targeted intervention measures.
Validation of the Arabic version of the reduced Horne-Östberg Morningness- Eveningness Questionnaire (rMEQ)
Authors: CHAAYA Roni , CATTAN Rebecca , LAHOUD Christele , MERHI Georges , KAHWAJI Georges-Junior , LAHOUD Rachele , MATTAR Hanna , OBEID Sahar , HALLIT Souheil , FEKIH-ROMDHANE Feten 
Published: May 2024

Abstract

Introduction: Individual differences in sleep-wake cycles give rise to 'morningness-eveningness' or 'chronotypes'. Chronotype preferences are governed by internal circadian rhythms and influenced by external cues. The assessment of chronotypes is essential for understanding these preferences, and the Reduced Morningness-Eveningness Questionnaire (rMEQ) has been developed for this purpose. The purpose of this study was to examine the Arabic rMEQ's psychometric properties in terms of validity, reliability and measurement invariance in young adults.
Methods: Three hundred thirty Arabic-speaking participants from the general population of Lebanon, comprising 67.3% females with a mean age of 21.75 ± 2.43 years (range: 18-33), were recruited for this study. The participants were asked to fill out an online questionnaire consisting of the Arabic versions of the rMEQ, Pittsburgh Sleep Quality Index (PSQI), and the Lebanese Anxiety Scale (LAS).
Results: Confirmatory factor analysis (CFA) indicated a modest fit for the one-factor model of the rMEQ. Internal reliability was good, with ω = .75 and α = .70. Additionally, cross-sex invariance analysis showed support for configural, metric, and scalar invariance, with no significant differences in rMEQ scores between males and females. Concurrent validity revealed significant moderate correlations between higher rMEQ scores and lower depression, better sleep quality, and lower anxiety.
Conclusion: The Arabic version of the rMEQ demonstrated adequate psychometric properties in a Lebanese young adult population. The CFA results support a one-factor model, suggesting that the Arabic rMEQ measures the same underlying construct as the original version. Overall, the Arabic rMEQ appears to be a valid and reliable tool for evaluating morningness-eveningness in Arabic-speaking young adults, with potential applications in cross-cultural chronotype studies.
Two quantitative multiplex assays for the detection of P. falciparum asexual rings and male/female gametocyte developmental stages from human tissues
Authors: Abagna Hamza B. , Tackie Richmond G. , Ansah Felix , Kyei Joseph , Tackie Emmanuel O. , Akoliga Samuel , Beshir Khalid , Tagboto Senyo , Korpisah Joseph K. , Wezena Cletus A. , Deitsch Kirk W. , Alano Pietro , Awandare Gordon A. , Binka Fred N. , Sutherland Colin J. , Urban Britta C. , Dinko Bismarck 
Published: May 2024

Abstract

Background
Malaria, caused by Plasmodium parasites, remains a significant global health challenge. Gametocytes are the sexual forms of the parasites which do not cause disease but are responsible for parasite transmission to the mosquito vector, often even after successful treatment of infected individuals. The density and sex ratio of gametocytes play a major role in determining malaria transmission dynamics. Sensitive methods for detecting and quantifying gametocyte developmental stages and sex ratios are critical tools for achieving Plasmodium transmission reduction in the malaria elimination agenda.
Methods
Two sensitive triplex real-time PCR gametocyte sex-specific (Assay I) and gametocyte developmental stage-specific (Assay II) assays were developed. Assay I was designed for the detection and quantification of male and female gametocytes and of asexual rings, based on the amplification of male (PF3D7 1311100, Pf13), female (PF3D7 0903800, CCp4) gametocyte- and asexual ring- (PF3D7_0501300, SBP1) transcripts. Assay II was designed for the detection and quantification of transcripts marking early (PF3D7_1477700, PHISTa), intermediate (PF3D7_1346700, Pfs48/45) and late (PF3D7_1031000, Pfs25) stage gametocytes. Assays were tested and validated using 10 matched treatment day 0 and 7 venous blood samples from a study evaluating gametocyte immune responses in children (GI study) and 10 matched peripheral blood samples and bone marrow aspirates obtained from a study investigating gametocyte development in semi-immune Ghanaian individuals (BM study).
Results
Assay I detected transcripts of ring stages (SBP1), male (Pf13) and female (CCp4) gametocytes in 40%, 20% and 70% of the samples in the GI study and in 60%, 30% and 70%, respectively, in samples of the BM study. Assay II detected transcripts of early (PHISTa), intermediate (Pfs48/45) and late stage (Pfs25) gametocytes in 40%, 50% and 40% of the samples from peripheral blood compared to 70%, 20% and 40%, respectively, from bone marrow aspirates of the BM study.
Conclusions
The one-step multiplex assays described here can be readily used to measure densities of male and female gametocytes for sex ratio determinations and to quantify proportions of gametocyte developmental stages in peripheral blood samples and in bone marrow aspirates of malaria-infected individuals.
Partner Conflict among a Cohort of Women during the Index Pregnancy as measured in the Extended Postpartum Six Weeks Period and its correlates in Ethiopia: Community Based Longitudinal Data; A Multilevel Analysis
Authors: Damtew Solomon Abrha , Atinafu Niguse Tadele , Gidey Mahari Yidego , Awoke Tesfamichael 
Published: May 2024

Abstract

Introduction: Current intimate partner violence (IPV) in Ethiopia is considerably high. This study aimed at determining the prevalence of the IPV during the index pregnancy as measured in six weeks postpartum among women in the extended six postpartum period and identify its correlates. Documenting the magnitude of six week postpartum IPV during the index pregnancy as measured six weeks in the postpartum period and identifying factors affecting it contributes its share for the ministry and other relevant partners in tracking progress towards eliminating all forms of violence against women and girls by 2030. Methods: This study used PMA merged cohort 1 baseline and six week postpartum data which enrolled and collected data from currently pregnant women. Frequency was computed to describe the study participant’s characteristics, and chi-square statistics was used to assess cell sample size adequacy. Multilevel binary logistics regression was employed to identify correlates of IPV at the extended six postpartum period. Results were presented in the form percentages and odds ratio with 95% Confidence Intervals. Candidate variables were selected using p-value of 0.25. Statistical significance was declared at p-value of 0.05. Results: The proportion of IPV during the index pregnancy as measured six weeks postpartum women where who reported experiencing at least one for of physical or sexual IPV 6 weeks postpartum was 12.14% (10.66%, 13.79%). Over the same period a slightly higher percentage of women reported that they have experienced at least of form of sexual IPV 8.09% (6.91%, 9.44%) than experiencing at least one form of physical IPV 6.02% (4.94%, 7.31%). After controlling confounders, the likelihood of experiencing at least one form of physical and/or sexual IPV was 2.14 (1.04, 4.38) time higher among women whose husband had other wife’s compared to those who do not have. On the contrary, women who were residents of Afar region had 86% 0.14 (0.03, 0.79) lower odds of experiencing one form of physical and/or sexual IPV six weeks postpartum. Activities and efforts which are specific to regions and that address the problem of polygamy are hoped to address the problem IPV. Such activities can be delivered should be tailored along the maternal and new born care continuum.
A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method
Authors: Wang Jun , Wang Wenchuan , Hu Xiao-xue , Gu Miao , Hong Yang-hao , Zang Hong-fei 
Published: May 2024

ABSTRACT

This study proposes a hybrid model based on the combination of Sand Cat Swarm Optimization (SCSO), Echo State Network (ESN), Gated Recurrent Unit (GRU), Least Squares Method (LSM), and Markov Chain (MC) to improve the accuracy of annual runoff prediction. Firstly, conduct correlation analysis on multi-factor data related to runoff to determine the input of the model. Secondly, the SCSO algorithm is used to optimize the parameters of the ESN and GRU models, and the SCSO-ESN and SCSO-GRU models are established. Next, the prediction results of these two models are coupled using LSM to obtain the preliminary prediction results of the SCSO-ESN-GRU model. Finally, the initial prediction results are corrected for errors using MC to get the final prediction results. Choose Changshui Station and Lanxi Station for experiments, and evaluate the predictive performance of the model through five evaluation indicators. The results show that the combined prediction model corrected by the MC achieved the optimal prediction performance at both experimental stations. This study emphasizes that using a combination prediction model based on Markov chain correction can significantly improve the accuracy of annual runoff prediction, providing a reliable basis for predicting annual runoff in complex watersheds.