bluuebunny/crossref_metadata_2025_split huggingface dataset:
HDF5eis: A storage and input/output solution for big multidimensional time series data from environmental sensors
Authors: White Malcolm C. A. , Zhang Zhendong , Bai Tong , Qiu Hongrui , Chang Hilary , Nakata Nori 
Published: January 2023

Modern high-performance computing (HPC) tasks overwhelm conventional geophysical data formats. We describe a new data schema called HDF5eis (read H-D-F-size) for handling big multidimensional time series data from environmental sensors in HPC applications and implement a freely available Python application programming interface (API) for building and processing HDF5eis files. HDF5eis augments the popular Hierarchical Data Format 5 with a minimal set of additional conventions that facilitate fast and flexible data input and output protocols for regularly sampled (in time) data with any number of dimensions. HDF5eis supports arbitrary ancillary data (e.g., metadata) storage in columnar format or as UTF-8 encoded byte streams alongside time series data. Our HDF5eis API enables simple and efficient access to big data sets distributed across a potentially large number of small heterogeneous files through a single point of access. HDF5eis outperforms conventional seismic data formats by up to two orders of magnitude in terms of random read access times. We contribute HDF5eis as an operational tool and an experimental draft proposal that will help establish the next generation of data standards in the earth sciences.
Chronic Exposure to Low Levels of Parabens Increases Mammary Cancer Growth and Metastasis in Mice
Authors: Tong Jason H , Elmore Sarah , Huang Shenq-Shyang , Tachachartvanich Phum , Manz Katherine , Pennell Kurt , Wilson Machelle D , Borowsky Alexander , La Merrill Michele A 
Published: January 2023

Abstract
Methylparaben (MP) and propylparaben (PP) are commonly used as food, cosmetic, and drug preservatives. These parabens are detected in the majority of US women and children, bind and activate estrogen receptors (ER), and stimulate mammary tumor cell growth and invasion in vitro. Hemizygous B6.FVB-Tg (MMTV-PyVT)634Mul/LellJ female mice (n = 20/treatment) were exposed to MP or PP at levels within the US Food and Drug Administration's “human acceptable daily intake.” These paraben-exposed mice had increased mammary tumor volume compared with control mice (P &lt; 0.001) and a 28% and 91% increase in the number of pulmonary metastases per week compared with the control mice, respectively (P &lt; 0.0001). MP and PP caused differential expression of 288 and 412 mammary tumor genes, respectively (false discovery rate &lt; 0.05), a subset of which has been associated with human breast cancer metastasis. Molecular docking and luciferase reporter studies affirmed that MP and PP bound and activated human ER, and RNA-sequencing revealed increased ER expression in mammary tumors among paraben-exposed mice. However, ER signaling was not enriched in mammary tumors. Instead, both parabens strongly impaired tumor RNA metabolism (eg, ribosome, spliceosome), as evident from enriched KEGG pathway analysis of differential mammary tumor gene expression common to both paraben treatments (MP, P &lt; 0.001; PP, P &lt; 0.01). Indeed, mammary tumors from PP-exposed mice had an increased retention of introns (P &lt; 0.05). Our data suggest that parabens cause substantial mammary cancer metastasis in mice as a function of their increasing alkyl chain length and highlight the emerging role of aberrant spliceosome activity in breast cancer metastasis.
RNA Aptamer-Based Approach to Inhibiting Split-GFP Reconstruction and the Loss of Inhibitory Activity Using Complementary RNA
Authors: Kamura Takuto , Katsuda Yousuke , Fuchigami Yusuke , Itsuki Yua , Kitamura Yusuke , Sakurai Toshihiko , Ozawa Takeaki , Ihara Toshihiro 
Published: January 2023

Abstract
Although many studies on protein–protein interactions (PPIs) have been conducted and the importance of PPIs in biological processes has been reported, there is still no versatile research approach that enables us to draw a complete picture of PPIs. One orthodox approach to elucidating the mechanism of each PPI would be to inhibit or enhance the PPI of interest and carefully observe its phenotype. However, since the interaction surfaces of PPIs are generally shallow and wide, it is very difficult to design small molecules that can selectively perturb specific PPIs by interaction with these surfaces. In this report, we adopt reconstruction of split green fluorescence protein (splitGFP) as a model of PPI, and obtained RNA aptamers that bind to one of the components. The reconstitution of splitGFP was inhibited by these aptamers, and this inhibition was cancelled by the addition of their complementary sequences. These processes were monitored by the loss and recovery, respectively, of fluorescence from the reconstructed GFP. The successful development of molecules that reversibly regulate specific PPI is expected to make a significant contribution to life science research.
Online algorithm for assignment of specimens to pooled or individual testing using risk models provides a practical way to increase testing capacity
Authors: Alekseyenko Alexander V. 
Published: January 2023

Background: To improve throughput in diagnostic and screening testing for infectious diseases, I developed a straight-forward algorithm that uses individual risk to optimize the decision about pooled or individual testing. Methods: The online greedy algorithm provides an recommendation for filling pooled testing queue for optimal testing in pools of variable size. Observational data from Medical University of South Carolina COVID-19 diagnostic testing was used to estimate capacity gains under this algorithm versus optimal fixed pooling based on population prevalence. Results: The online pooling recommendations based on this algorithm resulted in statistically better capacity gains than optimal pools of fixed size (P-value 0.003 and 0.002, for pools of 5 or 6, respectively). This is especially significant since the underlying individual-level risk prediction model attained only a moderate predictive accuracy. Conclusions: This result suggests that when combined with a better risk prediction and integrated in an appropriate informatics ecosystem this approach cab offers an opportunity for resilient pooled testing strategies for pathogens while incorporating relevant operational constraints of pathology laboratories.
Situations of work-related diseases and injuries among agriculturists in the upper northeast regions of Thailand
Authors: Chaiklieng Sunisa , Chagkornburee Chuthamas , Suggaravetsiri Pornnapa 
Published: January 2023

Background: Agriculturists exposed to health hazards are affected by increased occupational disease. This retrospective study aimed to investigate situations of work-related diseases and injuries among agriculturists in upper northeast Thailand. Methods: The secondary data of international classification of diseases 10 th revision (ICD-10) case reports of occupational disease among farmers, from the database of the Health Data Center (HDC), were used. The registered farmers data was collected as a dataset from the provincial agricultural office and the data of ICD-10 code utilised from the hospital information system (HIS) of healthcare services in Udon Thani and Roi-Et provinces, which was extracted for cases of work-related diseases and injuries of registered agriculturists. The annual morbidity rate of occupational diseases was analysed and presented at a rate per 100,000 farmers. Results: Among farmers in the HDC database, lung disease, which was not reported as occupational disease of the HDC database, was the highest ranking of all diseases, followed by work-related musculoskeletal disorders (WMSDs), noise- and heat-related diseases, and pesticide toxicity, respectively, while the injury rate was as high as that of WMSDs. Those morbidity rates of Roi-Et and Udon Thani provinces were representative of the morbidity ranking of diseases of the nation and had increasing trends from 2014 to 2016. The number of farmers in the HDC database did not consistently reflect the number of registered farmers in the agricultural database. Conclusions: Situations of work-related diseases and injuries discovered among registered farmers reflect the health problems of Thai agriculturists, and the underestimation in the reported disease rate in the health database is explained by big data analysis, which showed that work-related cases with an identifying code of Y96 had rarely been reported among agriculturists. Therefore, Thai agriculturists should be supported in registration with occupational diseases and injuries surveillance as holistic healthcare
Problem-solving in virtual environment simulations prior to direct instruction for differential diagnosis in medical education: An experimental study
Authors: Fässler Christian , Sinha Tanmay , Schmied Christian Marc , Goldhahn Jörg , Kapur Manu 
Published: January 2023

Background: Despite acquiring vast content knowledge about the functioning of the human body through university teaching, medical students struggle to transfer that knowledge to one of the core disciplinary practices – differential diagnosis. The authors aimed to overcome this problem by implementing computer-based virtual environment simulations in medical education courses. Methods: In an experimental study, the authors compared problem-solving in medical computer-based virtual environment simulations prior to instruction with an instruction-first approach. They compared the effects on isomorphic testing and transfer performance of clinical knowledge and clinical reasoning skills as well as evoked learning mechanisms. The study took place in spring 2021 with undergraduate medical students in the scope of a medical trajectory course. Due to Corona-Virus-19 measures participants completed all study activities remotely from home. Results: The authors did not find any learning activity sequence to be superior to the other. However, when looking at the two learning activities individually, they found that problem-solving in computer-based virtual environment simulations and direct instruction might be equally effective for learning content knowledge. Nevertheless, problem-solving in computer-based virtual environment simulations with formative feedback might be more effective for learning clinical reasoning skills than mere instruction. Conclusions: The findings indicate that problem-solving in computer-based virtual environment simulations might be more effective for learning clinical reasoning skills than mere theoretical instruction. The present study has a high level of ecological validity because it took place in a realistic setting where students had to perform all learning and testing tasks autonomously.
Structural color modulation by laser post-processing on metal-coated colloidal crystals
Authors: Li Xiu , Hu Xiaoxue , Ren Yuchen , Li Yu , Huang Min 
Published: January 2023

A method to use a pulsed solid-state laser to create structural color modulation on metal-coated colloidal crystal surfaces by changing the scanning speed has been proposed. Vivid colors as cyan, orange, yellow, and magenta are obtained with different predefined stringent geometrical and structural parameters. The effect of laser scanning speeds and polystyrene (PS) particle sizes on the optical properties is studied, and the angle-dependent property of the samples is also discussed. As a result, the reflectance peak is progressively red shifted along with increasing the scanning speed from 4 mm/s to 200 mm/s with 300 nm PS microspheres. Moreover, the influence of the microsphere particle sizes and incident angle are also experimentally investigated. For 420 and 600 nm PS colloidal crystals, along with a gradual decrease in the scanning speed of the laser pulse from 100 mm/s to 10 mm/s and an increase in the incident angle from 15° to 45°, there was a blue shift for two reflection peak positions. This research is a key, low-cost step toward applications in green printing, anti-counterfeiting, and other related fields.
Digitally tunable dispersion controller using chirped multimode waveguide gratings
Authors: Liu Shujun , Liu Dajian , Yu Zejie , Liu Liu , Shi Yaocheng , Dai Daoxin 
Published: January 2023

We propose a digitally tunable dispersion controller (DTDC) for dispersion management that shows potential for realizing phase correction, waveform generation, beamforming, and pulse sculpting in many photonic systems. The controller consists of N stages of cascaded chirped multimode waveguide gratings (MWGs) as well as (N+1) Mach–Zehnder switches (MZSs) on silicon. We introduce MWG technology so that the reflected light can be separated from the input signal even without a circulator, which makes it convenient for various system applications. All the chirped MWGs are identical so that the photonic circuit design is convenient, while the number, m, of the chirped MWGs in cascade for the nth stage is given by m=2(n−1). The total dispersion from the DTDC is accumulated by all the stages, depending on the states of all the 2×2 optical switches. Since there are 2
N
−1 chirped MWGs in total, the total dispersion can be freely tuned from 0 to (2
N
−1)D0 by a step of D0, where D0 is the dispersion provided by a single chirped MWG. As an example, we designed a DTDC consisting of four stages of chirped MWGs (N=4) and five MZSs and demonstrated its low loss as well as its high-quality group delay response. A chirped MWG with a 2-mm-long grating section has a dispersion of D0=2.82ps/nm in a 20-nm-wide bandwidth, and accordingly the maximum dispersion is given as 42.8 ps/nm by switching the MZSs appropriately. Our on-chip DTDC provides a brand-promising option for broadband flexible dispersion management in optical systems of microwave photonics and optical communications.
Anforderungsanalyse zur Umsetzung eines digitalen Zwillings im Containerterminal
Authors: Neugebauer Julian , Heilig Leonard , Voß Stefan 
Published: January 2023

ZusammenfassungDieser Beitrag beschreibt das Vorgehen zur Ermittlung von Use Cases und zur Anforderungsanalyse im Rahmen der Entwicklung eines digitalen Zwillings für den EUROGATE Containerterminal im Hamburger Hafen. Entscheidend für die Umsetzung des Projekts TwinSim ist, dass der digitale Zwilling die operativen und dispositiven Aufgaben und Prozesse der Containerterminals unterstützt und darüber hinaus, u. a., durch Anwendung einer simulationsbasierten Optimierung, resiliente und umweltfreundlichere Abläufe gewährleistet. Dazu wurden Use Cases aus dem operativen Betrieb des Containerterminals im Rahmen von Workshops mithilfe von Design Thinking Methoden erfasst, anhand einer Nutzwertanalyse bewertet und für eine Umsetzung ausgewählt. Die vorgestellte Vorgehensweise beschreibt zudem Ansätze, die zur Festlegung der Umsetzungsreihenfolge verwendet werden können und Synergieeffekte zwischen den Use Cases auf Basis der verfügbaren IoT-Geräte berücksichtigen. Insbesondere aufgrund der technisch komplexen Umsetzungsziele und der Forderung nach agilem Arbeiten kann die Vorgehensweise zur Anforderungsanalyse als Referenz für ähnliche Logistik 4.0-Projekte angesehen werden.
An intersectionality approach to Indigenous oral health inequities; the super-additive impacts of racism and negative life events
Authors: Jamieson Lisa , Ju Xiangqun , Haag Dandara , Ribeiro Pedro , Soares Gustavo , Hedges Joanne 
Published: January 2023

Objectives
Indigenous Australians experience cumulative forms of oppression. Using intersectionality as the underlying analytical framework, and with oral health as an outcome, we demonstrate how oppressions are interlinked and cannot be treated in isolation. The study aimed to quantify the cumulative effect of two forms of oppression on Indigenous Australian oral health inequities.

Methods
This observational study was conducted Feb 2018—Jan 2020. Recruitment occurred through Aboriginal Community Controlled Health Organisations in South Australia, Australia. Eligibility included identifying as Indigenous, residing in South Australia and aged 18+ years. Socio-demographic factors, health-related characteristics, experience of racism, negative life events and self-reported oral health outcomes were collected. The main outcomes were fair/poor self-rated oral health and oral health related quality of life, measured by OHIP-14. Effect-measure modification was used to verify differences on effect sizes per strata of negative life events and racism. The presence of modification was indicated by Relative Excess Risk due to Interactions (RERIs).

Results
Data were obtained for 1,011 participants, median age 37 years, 66% female and 63% residing in non-metropolitan locations. Over half (52%) had experienced racism in the past 12 months and 85% had experienced one or more negative life events. Around one-third (34%) rated their oral health as fair/poor and the mean OHIP-14 score was 17. A higher proportion of participants who had experienced both racism and negative life events (46%) were male (52%), aged 37+ years (47%), resided in metropolitan locations (57%), reported difficulty paying a $100 dental bill (47%), had fair/poor self-rated oral health (54%) and higher mean OHIP-14 scores (20). The RERIs observed were 0.31 for fair/poor self-rated oral health and 0.23 for mean OHIP-14. The positive RERIs indicated a super-additive effect between racism, negative life events (effect modifier) and self-reported oral health outcomes.

Conclusion
The more oppressions participants experienced, in the form of racism and negative life events, the greater the burden of poor self-reported oral health. The study is one of the first to use intersectionality as a theory to explain oral health inequities as experienced by Indigenous Australians.
Attitudes towards receiving COVID-19 vaccine and its associated factors among Southwest Ethiopian adults, 2021
Authors: Emire Mamo Solomon , Shiferaw Bisrat Zeleke 
Published: January 2023

Introduction
Many countries around the world are still affected by the global pandemic of coronavirus disease. The vaccine is the most effective method of controlling Coronavirus Disease 2019 (COVID-19). However, attitudes toward vaccination are heavily affected by different factors besides vaccine availability.

Objectives
This study aimed to determine community attitudes toward the COVID-19 vaccine in Gurage Zone, Ethiopia.

Methods
A community-based cross-sectional study was conducted from November 15th to December 15th, 2021. A simple random sampling technique was used to select 364 participants in the study area. An interview-administered structured questionnaire was used to collect the data; the data was entered into Epidata 3.1 version, and then exported to SPSS version 23 for further analysis. Descriptive statistics were used to determine the characteristics of study participants. Binary and multivariable logistic regression analyses with a p-value of less than 0.05 were used as a measure of significance.

Results
In this study, 44.7% of study participants had a favorable attitude toward the COVID-19 vaccine. Perceived potential vaccine harm [AOR: 1.85; 95% CI (1.15–2.96)], Having ever had a chronic disease [AOR: 3.22; 95% CI (2.02–5.14)], community belief on the effectiveness of the vaccine [AOR: 2.02; 95% CI (1.27–3.22)], and average monthly income 3001–5000 ETB [AOR: 0.54; 95% CI (0.30–0.97)], average monthly income 5001–10000 ETB [AOR: 0.48; 95% CI(0.27–0.86)] were statistically significantly towards COVID-19 vaccination.

Conclusions
Overall, less than half of the participants had a favorable attitude toward the COVID-19 vaccine. Perceived potential vaccine harm, having ever had a chronic disease, community belief in the effectiveness of the vaccine, and average monthly income were determinant factors of the community’s attitude toward COVID-19 vaccination. As a result, information conversation with the community’s awareness of the COVID-19 vaccination in reducing vaccine-related suspicion.
Trend and factors associated with anemia among women reproductive age in Ethiopia: A multivariate decomposition analysis of Ethiopian Demographic and Health Survey
Authors: Tsegaye Negash Berhan , Ayalew Mohammed 
Published: January 2023

Background
In developing countries like Ethiopia, anemia is a public health problem. Unfortunately, the progress of anemia reduction has been slow. Although the issue of anemia has received considerable critical attention nowadays, trends and factors associated with anemia among women of reproductive age have not been explored in Ethiopia.

Objective
This study aimed to determine trends and factors associated with anemia among women of reproductive age in Ethiopia from 2005 to 2016.

Method
Data from three consecutive Ethiopian Demographic and Health Survey (EDHS) from 2005–2016 were analyzed in this study. EDHS is a two-stage cluster sampling survey. Data were weighted to correct sampling bias in all surveys. A total of 46,268 samples were analyzed using a fixed effect model. For a measure of proportion, differences and slopes were computed. Bivariate and multivariable logistic regression analyses were done to identify predictors of the trend of anemia among women. Adjusted odds ratio (AOR) with a 95% Confidence Interval(CI) was computed, and the p-value < 0.05 is considered significant.

Result
Prevalence of anemia among women was 68%, 20.3%, and 27.3% in 2005, 2011 and 2016, respectively. The trend of anemia was reduced by 47.7 percentage points from 2005 to 2011; however, it increased by 7% points again from 2011 in 2016. Lack of mobile phones (AOR = 1.4, 95%CI, 1.2,1.6), Afar women (AOR = 1.5, 95%CI, 1.1,2.3) and Somali women (AOR = 1.5, 95%CI, 1.1,1.9) were associated with anaemia among women. On the contrary, the history of heavy menstruation in the last six months (AOR = 0.9; 95%CI, 0.85,0.98) was a factor negatively associated with anemia in 2005. In 2011, single women (AOR = 0.8,95%CI,0.7,0.9), watching TV less than once per wk (AOR = 0.9,95%CI,0.7,0.95), watching TV at least once per week (AOR = 0.8,95%CI,0.7,0.98) were variables associated with anemia. On the contrary, widowed women (AOR = 1.7,95%CI,1.4,2.0) were affected by anemia. In 2016, the richest women (AOR = 0.7, 95%CI, 0.6,0.8) and single (AOR = 0.8, 95%CI, 0.7,0.9) were affected little by anemia. Women of traditional belief followers (AOR = 2.2,95%CI,1.6,2.9) were more highly influenced by anemia than their counterparts.

Conclusion
The prevalence of anemia declined rapidly from 2005 to 2011, and increased from 2011 to 2016. Stakeholders should develop policies and programs to enhance the socio-demographic status of women and basic infrastructure for the community. Furthermore, they should design strategies for extensive media coverage of the prevention of anemia. The federal government should balance the proportion of anemia among regions by ensuring health equality.