bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Four Years Longitudinal Study of Childhood Vaccination Trends and Supply Chain Resilience in Tanzania amid COVID-19 Pandemic
Authors: Sangeda Raphael Zozimus , James Daniel , Mariki Harrison , Mbwambo Mbonea Erick , Mwenesi Mwendwa E. , Nyaki Honesti , Tinuga Florian , Manyanga Daudi Peter 
Published: December 2023

Abstract
Background
The COVID-19 pandemic has significantly disrupted healthcare systems at all levels globally, notably affecting routine healthcare services such as childhood immunisations. This study delves into the impact of these disruptions on routine childhood vaccination programs in Tanzania.
Methodology
We conducted a longitudinal study over four years in five Tanzanian regions: Mwanza, Dar es Salaam, Mtwara, Arusha, and Dodoma. The study analysed trends in the usage of six key vaccines: Bacille Calmette-Guérin (BCG), Bivalent Oral Polio Vaccine (bOPV), Diphtheria Tetanus Pertussis, Hepatitis-B and Hib vaccine (DTP-HepB-Hib), measles-rubella (MR), Pneumococcal Conjugate Vaccine (PCV), and Rota vaccines. We evaluated annual and monthly vaccination trends using time series and regression analyses. Predictive modelling was performed using an Autoregressive Integrated Moving Average (ARIMA) model.
Results
The study recorded a total of 32,602,734 vaccination events across the regions from 2019 to 2022. Despite declining vaccination rates in 2020, there was a notable rebound in 2021, indicating the resilience of Tanzania's immunisation program. The analysis also highlighted regional differences in varying vaccination rates when standardised per 1000 population. Seasonal fluctuations were observed in the monthly vaccination rates, with BCG showing the most stable trend. Predictive modelling of BCG indicated stable and increasing vaccination coverage through 2023.
Conclusion
The findings underscore the robustness of Tanzania's childhood immunisation infrastructure in overcoming the challenges posed by the COVID-19 pandemic, marked by a strong recovery in vaccination rates post-2020. We provide valuable insights into the dynamics of vaccinations during a global health crisis and highlight the importance of sustained immunisation efforts in maintaining public health.
Electromagnetic Compatibility Issues in 400-MHz-Band Wireless Medical Telemetry Systems and Their Management Using Simplified Methods for Safe Operation
Authors: Ishida Kai , Fujii Kiyotaka , Hanada Eisuke 
Published: December 2023

Abstract
Wireless medical telemetry systems (WMTSs) are typical radio communication–based medical devices that monitor various biological parameters, such as electrocardiograms and respiration rates. In Japan, the assigned frequency band for WMTSs is 400 MHz. However, the issues accounting for poor reception in WMTS constitute major concerns. For example, the 400 MHz frequency band is also shared by other radio communication systems. Further, the intermodulation (IM) effect significantly reduces reception in WMTS. Additionally, the electromagnetic noises generated from electrical devices, such as light-emitting diode lamps and security cameras, can exceed the 400 MHz frequency band as these devices employ the switched-mode power supply and/or central processing unit and radiate wideband emissions. In this study, we analyzed the effects of the electromagnetic interferences caused by other radio communication systems, the IM effect, and the noises generated from electrical devices on WMTS and discussed their management. Moreover, we proposed and evaluated simplified and facile methods for evaluating the electromagnetic environment.
Reversing the directionality of reactions between non-oxidative pentose phosphate pathway and glycolytic pathway boosts mycosporine-like amino acid production in Saccharomyces cerevisiae
Authors: Hengardi Miselle Tiana , Cui Liang , Madivannan Keshiniy , Yang Lay Kien , Koduru Lokanand , Kanagasundaram Yoganathan , Arumugam Prakash 
Published: December 2023

Abstract

Background
Mycosporine-like amino acids (MAAs) are a class of strongly UV-absorbing compounds produced by cyanobacteria, algae and corals and are promising candidates for natural sunscreen components. Low MAA yields from natural sources, coupled with difficulties in culturing its native producers, have catalysed synthetic biology-guided approaches to produce MAAs in tractable microbial hosts like Escherichia coli, Saccharomyces cerevisiae and Corynebacterium glutamicum. However, the MAA titres obtained in these hosts are still low, necessitating a thorough understanding of cellular factors regulating MAA production.
Results
To delineate factors that regulate MAA production, we constructed a shinorine (mycosporine-glycine-serine) producing yeast strain by expressing the four MAA biosynthetic enzymes from Nostoc punctiforme in Saccharomyces cerevisiae. We show that shinorine is produced from the pentose phosphate pathway intermediate sedoheptulose 7-phosphate (S7P), and not from the shikimate pathway intermediate 3-dehydroquinate (3DHQ) as previously suggested. Deletions of transaldolase (TAL1) and phosphofructokinase (PFK1/PFK2) genes boosted S7P/shinorine production via independent mechanisms. Unexpectedly, the enhanced S7P/shinorine production in the PFK mutants was not entirely due to increased flux towards the pentose phosphate pathway. We provide multiple lines of evidence in support of a reversed pathway between glycolysis and the non-oxidative pentose phosphate pathway (NOPPP) that boosts S7P/shinorine production in the phosphofructokinase mutant cells.
Conclusion
Reversing the direction of flux between glycolysis and the NOPPP offers a novel metabolic engineering strategy in Saccharomyces cerevisiae.
The causal role of immune cells in asthma: a Mendelian randomization study
Authors: PAN Yu-shuo , QIN Yi-bing , Qu Ni-ni 
Published: December 2023

Abstract
Background
Immune cells may play a crucial role in the pathogenesis and progression of asthma. We conducted a Mendelian random analysis to evaluate the causal relationship between immune cells and asthma.
Objective
Immune cells play an important role in the development of asthma, but the specific relationship between them is not clear. This study aims to infer the causal relationship between them from the perspective of genetics.
Methods
The statistical data were collected from the published genome-wide association studies(GWAS)study of immune cells, and the genetic variation points were selected as instrumental variables(IVS).Inverse variance weighted (IVW), Weighted median, MR-Egger regression, Simple mode and Weighted mode were used for two sample Mendelian randomization (MR) analysis. Sensitivity analysis was used to test the heterogeneity, horizontal pleiotropy and stability of the results.
Results
IVW results showed that BAFF − R on B cell, BAFF − R on IgD− CD27−,BAFF − R on IgD+ CD24−,BAFF − R on IgD+ CD38dim,CD14 on CD33br HLA DR+ CD14dim,CD25 on B cell,CD25 on IgD+ CD24−,CD25 on IgD+ CD38− naive,CD25 on naive − mature B cell,CD25 on transitional,CD33 on basophil,CD33 on CD14+ monocyte,CD33 on CD33dim HLA DR+ CD11b−,CD33 on CD66b++ myeloid cell,CD38 on IgD− CD38dim,CD86 on myeloid DC,HLA DR on CD14− CD16+ monocyte, IgD+ CD38br %lymphocyte, Transitional %lymphocyte may be the risk factors of asthma,CD11b on CD14+ monocyte,CD24 on IgD+ CD38br,CD28 on CD45RA+ CD4+,CD45 on NK,CD28 on CD45RA+ CD4+,HLA DR+ NK %CD3− lymphocyte, HLA DR+ NK AC, IgD− CD38− %B cell, PDL − 1 on CD14+ CD16− monocyte, Plasmacytoid DC %DC may be a protective factor for asthma.
Conclusion
This study explored the causal relationship between immune cells and asthma, and screened out immune cells related to asthma. These immune cells may become new biomarkers or therapeutic targets, provide new treatment ideas for the prevention and treatment of asthma, and promote the understanding of asthma.
The Behavior of Seeking Professional Psychological Help Among Pregnant Women: A Qualitative Study in China
Authors: Xu Hongbin , Li Yingqi , Ma Xuemei , Yang Qin , Qiu Lei 
Published: December 2023

Abstract

This study aimed to understand the mental health status of pregnant women, clarify their needs for psychological help, and identify obstacles in seeking psychological help. Semi-structured interviews were conducted with 20 pregnant women, focusing on sources of psychological stress, expectations for psychological help, and difficulties in seeking psychological help. We distilled five themes: (1) Psychological conditions during pregnancy, which includes stress and emotional fluctuations and anticipations of postpartum challenges; (2) Barriers to seeking help, underscored by societal misconceptions, limited professional access, and varied familial support; (3) Sources of psychological stress, highlighting physical changes, familial and work pressures, and societal expectations; (4) Expectations for psychological assistance, emphasizing the need for professional understanding and societal awareness; (5) Impact of psychological issues on daily life, such as decreased work efficiency and affected social activities. Our conclusion points to a stark reality: Pregnant women in China confront significant psychological stress and face multiple barriers in accessing help. There is an urgent need for enhanced societal understanding and improved access to psychological services for this demographic.
Enhanced TSN Configuration Detection Using Optimized BPNN with Feature Selection for Industry 4.0
Authors: Wang Cheng , Chen Lin , Tang Chengjie , Wang Yongsong , Xian Yaqiao , Zhao Yuhao , Xue Hai , Huan Zhan 
Published: December 2023

Abstract
With the advancement of Industry 4.0, Time-Sensitive Networking (TSN) has become essential for ensuring prompt and reliable data transmission. As an augmentation of Ethernet, TSN aims to supply services capable of low latency, minimal jitter, and low packet loss for urgent data in decentralized, user-oriented networks. Efficient detection techniques are integral to TSN for swiftly determining the practicability of network configurations, as existing schedulability analysis proves insufficient. This paper delves into the potential of backpropagation neural networks (BPNN) in schedulability analysis efficiency. We optimize BPNN using spearman correlation feature selection combined with a voting ensemble method and Particle Swarm Optimization, forming two models: Spearman-Vote-BPNN and Spearman-PSO-BPNN. Testing on 5,000 network configurations in computer simulations, both models demonstrated high generalization accuracy, around 97.4%. Spearman-Vote-BPNN achieved the fastest training speed at 0.63 seconds and an accuracy of 98.2%. Meanwhile, Spearman-PSO-BPNN showed the highest accuracy (98.5%) with the quickest detection speed (5.6ms). The outcomes of this research significantly advance the efficacy and precision of TSN network configuration detection and establish a formidable groundwork for future scholarly pursuits in this area.
International Journal of Machine Learning and Cybernetics A Study of Repetitive Demand Prediction Based on Integrated Learning and Time Series
Authors: zhu Zhirong , Liu Yiwen , Tang Yan , Wen Wenkan 
Published: December 2023

Abstract
In this paper, we propose a time-series-based method to analyze the process of ‘‘repetition‘‘. The method is able to obtain the repetition reliability of the detectee from the attribute information of the detection target and the detection index at different time points, and to predict the probability of the possible outcome of the next detection. We address the local optimum phenomenon that may be brought about by traditional time series due to the low relevance of data dimensions and optimize and improve on the classical time series analysis model. We also combine an integrated learning model for prediction after comprehensive processing of the data. In this paper, we take the problem of the repetition testing of AIDS patients in medical analysis as the background environment, and rely on the experimental results obtained from simulation experiments to outperform the experimental prediction results of the proposed model. An accuracy rate of about 91.8% was achieved. Thus, the feasibility of the method is verified. It can reduce the repetition detection rate and improve the detection efficiency to a certain extent. It also saves unnecessary testing costs.
Revisiting Class Imbalance: A Generalized Notion for Oversampling
Authors: Velayuthan Purushoth , Karunasingha Navodika , Nagahawaththa Hasalanka , Jayasekara Buddhi G. , Hevapathige Asela 
Published: December 2023

Abstract
Class imbalance is a salient problem in both machine learning and data mining realms. Sampling techniques have become a cornerstone in solving this challenge, as they enable the creation of class-balanced datasets that is essential for robust model training. Addressing class imbalance not only enhances the predictive accuracy of machine learning algorithms but also ensures fair and unbiased decision-making across various applications, making it a critical aspect of research and development in various sectors. Through this work, we introduce the concept of a generalized oversampling function, unifying existing synthetic oversampling approaches. We explore diverse design decisions for such a function, presenting six functions categorized as linear and non-linear variants. We provide extensive experiments with these functions to gain an in-depth understanding of their behavior. Through our experiments, we observe that the best-performing function is primarily data-driven. Also, it is perceived that non-linear functions like minimum and maximum often depict higher learning capacity and steady performance in comparison to their linear counterparts mainly due to their ability in modelling non-trivial patterns. While moderate input counts would yield desirable performance in these functions, we can see varying robustness from these functions for distorted input data.
Longitudinal Consistency of Demographic Impact on School Accountability in Arkansas: A Multi-Year Linear Regression Analysis of ESSA Scores
Authors: Mills Michael , Wake Donna , Dailey Debbie 
Published: December 2023

Abstract
This study explores the extent to which demographic factors influence a school's letter grade under the Every Student Succeeds Act (ESSA) guidelines in Arkansas. The research has two primary objectives: first, to analyze the impact of demographic variables on school ratings within the Arkansas education system, and second, to identify potential predictive variables that significantly affect a school's ESSA score. The study focuses on the predictive power of race and socio-economic status on ESSA index scores and examines disparities in the representation of various demographic groups in schools with differing ESSA letter grades. The findings aim to provide a nuanced understanding of the relationship between school demographics and performance evaluations, highlighting the need for more equitable and effective policy decisions. This research is expected to contribute to a reassessment of current evaluative metrics and promote a more inclusive and representative educational assessment system.
Analysis of discharge characteristics of a symmetrical stepped labyrinth side weir based on global sensitivity
Authors: Wan Wuyi , Shen Guiying , Li Shanshan , Parsaie Abbas , Wang Yuhang , Zhou Yu 
Published: December 2023

Abstract
In this paper, the discharge coefficient prediction model for this structure in a subcritical flow regime is first established by extreme learning machine (ELM) and Bayesian network, and the model's performance is analyzed and verified in detail. In addition, the global sensitivity analysis method is introduced to the optimal prediction model to analyze the sensitivity for the dimensionless parameters affecting the discharge coefficient. The results show that the Bayesian extreme learning machine (BELM) can effectively predict the discharge coefficients of the symmetric stepped labyrinth side weir. The range of 95% confidence interval [−0.055,0.040] is also significantly smaller than that of the ELM ([−0.089,0.076]) and the Kernel extreme learning machine (KELM) ([−0.091,0.081]) at the testing stage. The dimensionless parameter ratio of upstream water depth of stepped labyrinth side weir p/y1 has the greatest effect on the discharge coefficient Cd, accounting for 55.57 and 54.17% under single action and other parameter interactions, respectively. Dimensionless step number bs/L has little effect on Cd, which can be ignored. Meanwhile, when the number of steps is less (N = 4) and the internal head angle is smaller (θ = 45°), a larger discharge coefficient value can be obtained.
Evaluating the performance and membrane fouling of a submerged membrane bioreactor (MBR) treating plywood industry wastewater
Authors: Gavlak Guilherme , Aguiar Battistelli André , Pedroso Carlos Raphael , Magno de Sousa Vidal Carlos , Viviane de Souza Kely 
Published: December 2023

Abstract

This study evaluates the performance of a membrane bioreactor (MBR) for treating wastewater from the laminated plywood industry. To this end, a pilot-scale MBR was operated for 60 days with a hydraulic retention time of 20 h and a solid retention time of 20 days. The reactor's performance was assessed based on the removal of chemical oxygen demand (COD), phenol, turbidity, and apparent color. Furthermore, we monitored the solids content, dissolved oxygen concentration, and pH of the mixed liquor, as well as the progression of the transmembrane pressure (TMP). The wastewater exhibited a COD/biochemical oxygen demand (BOD) ratio of 5.5, suggesting low biodegradability, usually when this ratio is higher than 4.0. Nevertheless, it was observed that the MBR's performance was stable and satisfactory, with average removal efficiencies of 98% for COD, 70% for phenol, 99% for turbidity, and 93% for true color. The evolution of TMP indicated gradual membrane fouling; however, the operational limit of 0.6 bar was not reached during the study period. In conclusion, the utilization of MBR presents a promising approach to mitigate the environmental impacts associated with wastewater from the laminated plywood industry.
Tinjauan Historis dan Proliferasi dalam Kajian Komunikasi Pembangunan Kontemporer
Authors: Mauliansyah Fiandy 
Published: December 2023

<p><em>Research on the use of ICTs for international development, or information and communication technology for development (ICT4D) research, has a history going back some 30 years. The purpose of this paper is to take stock of the ICT4D research field at this important juncture in time, when ICTs are increasingly pervasive and many different disciplines are involved in researching the area. The paper first provides some reflections on the history of the field broken down into three phases from the mid-1980s to the present day. This is followed by a detailed discussion of future research agenda, including topic selection, and the role of theory. ICT4D research started largely in the academic field of information systems but it is concluded that the future lies in a multidisciplinary interaction between researchers, practitioners, and policy-makers.</em></p>
Subalternitas Penganut Ahmadiyah dalam Novel Maryam Karya Okky Madasari
Authors: Kumaniren Fabiola Agusta Wassy 
Published: December 2023

<p><em>The issuance of the Indonesian Ulema Council (Indonesia: Majelis Ulama Indonesia or MUI) fatwa declaring Ahmadiyya as a deviant sect and its followers as having departed from Islamic teachings has impacted the stereotypes surrounding the majority community. The novel "Maryam" is a work of fiction based on the experiences of Okky Madasari's best friend as an Ahmadiyya adherents. The novel narrates the discrimination and injustice faced by Ahmadiyya adherents and serves as a form of social criticism by the author towards the subaltern discourse surrounding Ahmadiyya adherents. This research aims to identify the various forms of subalternity experienced by Ahmadiyya adherents in the novel "Maryam". The research specifically examines the different forms of subalternity imposed by the majority group against Ahmadiyya adherents based on the concept of subalternity, which refers to the oppressed who lack access to voice their concerns developed by Spivak. The utilization of critical discourse analysis in this research helps identify and categorize the various forms of subalternity through the predetermined data corpus. The compiled data corpus is the primary source for the researcher to describe, interpret, and analyze the text, context, and discourse in the novel "Maryam". The data corpus will be analyzed through three stages: 1. Description, 2. Interpretation, and 3. Explanation. The research results indicate that the forms of subalternity depicted by the author in the novel "Maryam" include marginalization and silencing. </em></p>
Strategi Komunikasi Content Creator Podcast Disabilitas Sebagai Platform Peningkatan Disability Awareness
Authors: Kisyono Gerry Akbar , Fiaji Noveria Anggraeni 
Published: December 2023

<p><em>This research aims to explore the communication strategies employed by disabled content creators in podcasts to enhance disability awareness among their audience. The utilization of podcast platforms for disseminating disability awareness by content creators Afif, Argya, and Dhani is motivated by various factors, such as ease of use and wider dissemination beyond the limitations of space and time. Their podcast content educates the general public about disability awareness, aiming to challenge the prevailing stigma surrounding disabled individuals. By employing their respective communication strategies to package the messages conveyed in their podcast content, they aspire to make their educational efforts accessible to a broader audience. This study adopts a qualitative approach with a case study method. Data collection involves observation and interviews with the three research subjects. The findings reveal that all three creators have communication strategies aligned with the developmental communication and empowerment perspectives. Additionally, the research identifies that the three creators engage in innovation diffusion to enhance disability awareness within society. The study also outlines the stages involved in the creation and dissemination of podcast content by these creators. The responses received after creating podcast content include both positive and negative feedback. Positive feedback includes increased knowledge and behavioral changes experienced by the listeners, indicating the effectiveness of the communication strategies employed. Consequently, the messages conveyed are not only well-received but also put into practice by the audience. On the other hand, negative feedback indicates the persistence of negative prejudices from some listeners concerning the experiences shared by disabled creators. </em></p>