bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of Community-Engaged Research Strategies in Increasing COVID-19 Vaccinations in Targeted Communities: The Community Engagement Alliance (CEAL) Regional Teams
Authors: Price Simani M. , Ferg Robyn , Eisenhauer Elizabeth W. , Chansky Melanie C. , Opsomer Jean D. 
Published: January 2024

Objectives. To explore a key outcome of interest for the Community Engagement Alliance (CEAL) Regional Teams by examining COVID-19 vaccinations over time in US counties where CEAL teams operated and comparing them to demographically similar counties in the same state. Methods. Our evaluation used a nonequivalent control group design. Each county where a CEAL team operated was matched to a unique non-CEAL county in the same state. Components of the Centers for Disease Control and Prevention’s Social Vulnerability Index were used as the matching criteria. COVID-19 vaccinations (county-level percentage of residents aged 18 years or older who are fully vaccinated) for CEAL and matched counties were analyzed over time. Results. The mean percentage of vaccinated adults was significantly higher in CEAL counties than in matched non-CEAL counties. Sensitivity analyses confirmed conclusions did not change depending on the CEAL cohort or closeness of matches. Conclusions. Our findings support CEAL team efforts to increase COVID-19 vaccinations in target communities and employ community-engaged research more broadly within public health contexts. (Am J Public Health. 2024;114(S1):S124–S127. https://doi.org/10.2105/AJPH.2023.307517 )
Listeria contamination in milk-processing chain and proficiency in Listeria monocytogenes decontamination of small-scale milk retailers
Authors: Kananub Suppada , Lertsakkongkul Papavarin , Aryatawong Patsara , Horhirunkhajohn Wilailak , Pinniam Nayika , Krajanglikit Praphaphan , Sonthong Kamonrat , Kasemsuwan Suwicha 
Published: January 2024

Abstract
Listeria spp. is an important-foodborne bacterium. This microorganism can be discarded from milk using high temperatures such as pasteurization. The milk processing methods of many small-scale retailers lack quality control. This study was to survey Listeria contamination at the farm and retailer levels. The retailers were to be interviewed for knowledge, attitude, and practice as well. Finally, we were to determine the heating processes employed to decontaminate microorganisms by the retailers using a reference strain of L. monocytogenes. Milk samples were collected from milk collecting centers and small-scale retailers. In clinical trial, the processing measures were proved the proficiency in L. monocytogenes decontamination. One out of 99 farms presented Listeria contamination, confirmed to L. marthii. Fifty small-scale retailers participated in the second part, including 13 males and 37 females. No Listeria spp., but Staphylococcus spp. and Bacillus spp. were identified in the processed milk. Data analyses revealed that the location of the retailer was significantly associated with the volume they routinely ordered per lot and the milk-processing time the retailers used to treat milk. Knowledge on raw milk contamination is significantly associated with the stocking or processing of the whole milk lot. Processing measures pre-sale significantly depended on the sex of the retailer. The male retailer reportedly spent less time treating milk than the female retailer. L. monocytogenes was used in the trial to evaluate the efficiency of the processes. No L. monocytogenes were after sample treatment, but S. epidermidis, S. warneri, and Escherichia coli. Although the trial implied that the retailer’s processes were effective in L. monocytogenes decontamination, the study presented the inappropriate practices of the retailer and the probability of cross-contamination. Product safety from small-scale milk retailers should be monitored incessantly.
A validated restriction enzyme ddPCR cg05575921 (AHRR) assay to accurately assess smoking exposure.
Authors: Fitzgerald Sandra , Bhat Basharat , Print Cristin , Jones Gregory 
Published: January 2024

Abstract
Background & Methods: In this study, a novel restriction enzyme (RE) digestion-based droplet digital polymerase chain reaction (ddPCR) assay was designed for cg005575921 within the AHRR gene body and compared with matching results obtained by bisulfite conversion (BIS) ddPCR and Illumina DNA methylation array.
Results: The RE ddPCR cg05575921 assay appeared concordant with BIS ddPCR (r2=0.94, P<0.0001) and when compared with the Illumina array, had significantly better smoking status classification performance for current versus never smoked (AUC 0.96 versus 0.93, P<0.04) and current versus ex-smoker (AUC 0.88 versus 0.83, P<0.04) comparisons.
Conclusions: The RE ddPCR cg05575921 assay accurately predicts smoking status and could be a useful component of ‘precision-medicine’ chronic disease risk screening tools.
Molecular Control via Dynamic Bonding Enables Material Responsiveness in Additively Manufactured Metallo-Polyelectrolytes
Authors: Lee Seola , Walker Pierre , Velling Seneca , Chen Amylynn , Taylor Zane , Fiori Cyrus , Gandhi Vatsa , Wang Zhen-Gang , Greer Julia 
Published: January 2024

Abstract

Metallo-polyelectrolytes have emerged as compelling functional materials for various applications – from filtration to biomedical devices and sensors – through the unique metal–organic matrix synergy [1–4]. The dynamic, reversible electrostatic interactions between metal ions and charged polymer chains offer advanced functionality such as relatively high ionic conductivity, thermal and electrochemical stability, self-healing capabilities, and broad tunability of mechanical properties in this unique class of materials [5, 6]. The knowledge gap between molecular-level chemistry of dynamic bonds and continuum-level material properties have limited the development and utilization of these materials in real-world applications [5]. Existing state-of-the-art fabrication methods typically involve cumbersome, multi-step solution-based synthesis, which usually produces materials with inhomogeneity and poor long-term stability. The multitude of time/length scales associated with the actuation and stimulus-driven response of metallo--electrolytes presents further computational challenges, which limits theoretical guidance for the development of experimental methods. We demonstrate a single-step stereolithography-based additive manufacturing (AM) method to produce metallo-polyelectrolyte complexed (MPEC) gels, which produces homogeneous, stable, and long-lasting materials using a straightforward synthesis route. We demonstrate that the AM-fabricated MPEC gels allow tunability in their mechanical response via two critical control parameters: (1) metal ion valency and (2) polymer charge sparsity. We discover that the mono-, di-, and trivalent metal ions afford control of the coordination environment and bond strength within the polymer matrix, which propagates to the macroscale properties where higher valency ions result in stiffer and tougher materials. Polyanion charge sparsity, regulated by the pH of the precursor photoresin, also impacts the gel phase, leading to changes in the mechanical response. We introduce experimentally-informed, theoretically-guided framework to draw mechanistic insight from molecular modeling and demonstrate the remarkable interplay of dynamic crosslinker valency and polyanion charge sparsity in governing material properties of MPEC gels. This work provides a comprehensive understanding of the metallo-polyelectrolyte behavior and lays out their parameter space, enabling selective design of advanced compliant and functional metallo-polyelectrolytes.
associations between recurrent COVID-19, attention and mental health: a longitudinal study
Authors: Khodami Mohammad Ahsan , Hosseini Seyed Mohammad , Bagheri Seyran , Kireeva Sofia 
Published: January 2024

Abstract
The COVID-19 pandemic has profoundly impacted mental health worldwide. While emerging research indicates attentional impairments following initial COVID-19 illness, no studies have examined the effects of recurrent infections. This longitudinal study investigated the cumulative impacts of repeat COVID-19 diagnosis on depression, anxiety, stress, and attentional components. Participants completed the Depression, Anxiety, and Stress Scale (DASS-21) and Attentional Control Scale (ATTC) at the initial diagnosis and again approximately one year later. The results revealed pronounced increases in depression, anxiety, and stress symptoms following recurrent versus initial COVID-19 diagnosis. Recurrently infected participants also displayed deficits in attentional shifting and overall attentional control, despite intact focusing abilities. Notably, negative correlations between attentional components emerged only after repeat illness. Overall, the findings indicate cumulative adverse psychological and cognitive effects of multiple COVID-19 infections over time. This research remains highly relevant despite the waning pandemic by elucidating lasting impacts on mental health and cognition while informing care for "long COVID" neuropsychiatric sequelae. Monitoring cognitive function and assessing neuropsychiatric outcomes should remain priorities in future public health crises.
Observation of unconventional van der Waals multiferroics near room
temperature
Authors: Peng Bo , Wu Yangliu , Lu Haipeng , Han Xiaocang , Yang Chendi , Liu Nanshu , Zhao Xiaoxu , Qiao Liang , Ji Wei , Che Renchao , Deng Longjiang 
Published: January 2024

Abstract
The search for two-dimensional (2D) van der Waals (vdW) multiferroics is an exciting yet challenging endeavor. Room-temperature 2D vdW few-layer multiferroic is a much bigger insurmountable obstacle. Here we report the discovery of an unconventional 2D vdW multiferroic with out-of-plane ferroelectric polarization and long-range magnetic orders in trilayer NiI2 device from 10 K to 295 K. The evolutions of magnetic domains with magnetic field, and the evolutions between ferroelectric and antiferroelectric phase have been unambiguously observed. More significantly, we realize a robust mutual control of magnetism and ferroelectricity near room temperature. The magnetic domains are manipulated by a small voltage ranging from ±1 V to ±6 V at 0 T and 295 K. This work opens opportunities for exploring multiferroic physics at the limit of few atomic layers.
Gene Expression Associated with Unfavorable Vaginal Bleeding in Women Using the Etonogestrel Subdermal Contraceptive Implant: A Prospective Study
Authors: Torelli Flávia R. , Rodrigues-Peres Raquel M. , Monteiro Ilza , Lopes-Cendes Iscia , Bahamondes Luis , Juliato Cássia 
Published: January 2024

Abstract
Objective
To evaluate gene expression associated with unfavorable vaginal bleeding in users of the Etonogestrel (ENG) contraceptive implant.
Materials and Methods
prospective study involving 100 women who intended to use the ENG implant. Exclusion criteria included abnormal uterine bleeding, inability to attend a 1-year follow-up, and implant removal for reasons unrelated to vaginal bleeding or loss of follow-up. We obtained endometrial biopsies before implant placement and assessed the expression of 20 selected genes. Users maintained a uterine bleeding diary for 12 months post-implant placement. For statistical analysis, we categorized women into those with or without favorable vaginal bleeding at 3 and 12 months.
Results
Women with lower CXCL1 expression had a 6.8-fold increased risk of unfavorable vaginal bleeding at 3 months (OR 6.8, 95% CI 2.21–20.79, p < 0.001), while those with higher BCL6 and BMP6 expression had 6- and 5.1-fold increased risks, respectively. By the 12-month follow-up, women with lower CXCL1 expression had a 5.37-fold increased risk of unfavorable vaginal bleeding (OR 5.37, 95% CI 1.63–17.73, p = 0.006). Women with CXCL1 expression < 0.0675, BCL6 > 0.65, and BMP6 > 3.4 had a higher likelihood of experiencing unfavorable vaginal bleeding at 3 months, and CXCL1 < 0.158 at 12 months.
Conclusion
Users of ENG contraceptive implants with elevated BCL6 and BMP6 expression exhibited a higher risk of breakthrough bleeding at the 3-month follow-up. Conversely, reduced CXCL1 expression was associated with an elevated risk of bleeding at both the 3 and 12-month follow-ups.
Metabolic adaptation following gastric bypass surgery: Results from a 2-year observational study.
Authors: Price Ruth , Naseer Fathimath , Zhang Shu-Dong , Miras Alexander , Redpath Tamsyn , Martin Melanie , Boyd Adele , Spence Heather , Pournaras Dimitri , Kerrigan David , Bodnar Zsolt , Roux Carel Le , Livingstone M 
Published: January 2024

Abstract

Background/Objectives: Metabolic adaptation is the lowering of basal metabolic rate (BMR) beyond what is predicted from changes in fat mass (FM) and fat-free mass (FFM) and may hamper weight-loss progression. It is unclear whether metabolic adaptation occurs following gastric bypass surgery (GBP) and if it persists. The aim of this study was to evaluate the reduction in BMR that is not explained by changes in body composition in patients following GBP compared to a weight-stable comparator group.
Subjects: Thirty-one patients [77.4% female; mean BMI 45.5(SD 7.0) kg/m2; age 47.4 (11.6)y] who underwent GBP, and 32 time-matched comparators [50% female; BMI 27.2(4.6) kg/m2; age 41.8(13.6)y) were evaluated at 1-month pre-surgery, 3-, 12- and 24-months post-surgery.
Methods: BMR was measured under standardised residential conditions using indirect calorimetry and body composition using DXA. Linear regression analyses assessed metabolic adaptation post-surgery.
Results: After surgery, patients lost a quarter of their body weight [-25.6%(1.8%); p<0.0001] consisting mainly of FM (4:1 FM to FFM loss ratio) at 24-months post-surgery. Absolute BMR (MJ/d) reduced by 25.7% at 24-months post-surgery with values becoming similar to the comparator group from 3-months post-surgery. Positive associations were observed between changes in BMR and changes in FFM and FM (P<0.03). Metabolic adaptation was present in patients during the 1) rapid weight loss phase (6.9kg/month at 3-months post-surgery)(p=0.011), 2) slower weight loss phase (1.6kg/month from 3 to 12-months post-surgery)(p<0.0001), and, 3) weight maintenance phase (24-months post-surgery)(p=0.00073). However, the degree of metabolic adaptation observed in GBP patients was similar to the weight-stable comparator group (no metabolic adaptation) from 12-months post-surgery onwards (3-months; p=0.01, 12-months; p=0.26, 24-months post-surgery; p=0.70).
Conclusion: These results suggest that there is a potential biological mechanism of surgery that attenuates the expected postoperative downregulation in BMR thus helping GBP patients maintain weight loss.
HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities
Authors: Doiron Dany , Setton Eleanor M , Seyer Joey , Redivo Andre , McKee Allan , Noaeen Mohammad , Patel Priya , Booth Gillian L , Brauer Michael , Fuller Daniel , Kestens Yan , Rosella Laura C , Stieb Dave , Villeneuve Paul , Brook Jeffrey R 
Published: January 2024

Abstract
Urban environmental factors such as air quality, heat islands, and access to greenspaces and community amenities impact public health. Some vulnerable populations such as low income groups, children, older adults, new immigrants, and visible minorities live in areas with fewer beneficial conditions and therefore face greater health risks. Planning and advocating for equitable healthy urban environments requires systematic analysis of reliable spatial data to identify where vulnerable populations intersect with positive or negative urban/environmental characteristics. To facilitate this effort in Canada, we developed HealthyPlan.City (https://healthyplan.city/), a freely available web mapping platform for users to visualize the spatial patterns of built environment indicators, vulnerable populations and environmental inequity within over 125 Canadian cities. This tool helps users identify areas within Canadian cities where relatively higher proportions of vulnerable populations experience lower than average levels of beneficial environmental conditions, which we refer to as Equity priority areas. Using nationally standardized environmental data from satellite imagery and other large geospatial databases and demographic data from the Canadian Census, HealthyPlan.City provides a block-by-block snapshot of environmental inequities in Canadian cities. The tool aims to support urban planners, public health professionals, policy makers and community organizers to identify neighbourhoods where targeted investments and improvements to the local environment would simultaneously help communities address environmental inequities, promote public health and adapt to climate change. In this paper, we report on the key considerations that informed our approach to developing this tool, and describe the current web-based application.
The Relationship between Neighborhood Urban Form and Major Non-communicable Diseases in Tehran, Iran
Authors: Dehkordi Zeynab Sadat Fazeli , Khatami Seyed Mahdi , Ranjbar Ehsan 
Published: January 2024

Abstract
In the current century, non-communicable diseases (NCDs), particularly cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases are among the main causes of mortality in all countries. However, little research has been conducted into the complex relationships between the neighborhood-built environment and the risk factors of non-communicable diseases in developed countries. For this purpose, this relationship was examined in 358 neighborhoods of Tehran. The information about disease rates and their risk factors in each neighborhood was collected for 118,000 adult residents based on the results of the second round of Urban Health Equity Assessment and Response Tool (Urban HEART-2). Next, the relationship of the data to 9 indicators of urban form in the neighborhoods and three socio-economic indicators was investigated using covariance analysis and ordinal logistic regression in SPSS and Minitab. The findings suggest that, apart from the effect of the economic and social status of the neighborhoods, some indicators of the built environment such as density, land use, green space, and access to public transportation can also affect the rates of the diseases as well as their risk factors (i.e., overweightness, obesity, and hypertension). As the main cause of many diseases, overweightness was found out to have the highest correlation with the indicators of urban form. In general, it can be concluded that the design and planning of urban neighborhoods may provide a good opportunity for improving urban health and preventing such diseases.
Bathymetric and Sediment Assessment for the Lukanga Swamps in Central Province, Zambia
Authors: Muchanga Manoah , Sichingabula Henry M. , Chisola Moses N. , Mbale Beauty S , Pule Gershom , Jani Rowen , Musana Fungai 
Published: January 2024

Abstract
Globally, wetlands are under threats and Lukanga Swamp, a wetland of international significance and a Ramsar site, is one of them. The aim of the study was to carry out bathymetric and sediment assessment of the Lukanga Swamp so as to provide further insights into the gravity of sediment load and ascertaining the extent of degradation of the wetlands, and the threats to it. An Hydrographic Survey Boat (HSB) Sonar Model RC-S2 mounted with a Trimble Hemisphere OmniSTAR Virtual Base Station (VBS) for Differential Geographic Positioning System (DGPS) was used to measure water depths across the Swamp. Data on sediment depth was collected using sediment coring method with the aid of a Graduated Sediment Depth Rod (GraSEDD). In sections of the swamp where there were too many weeds, GraSEDD was also used to determine water depth data, instead of the HSB. Photography was also used to collect relevant qualitative data. Quantitative bathymetric and sediment data were analysed using Inverse Distance Weighted (IDW) in ArcMap 10.4 Environment. The swamp water and sediment depths ranged from 0.2m to 4.77m and 0.03m to 2.11m, respectively. The findings showed that at the time of survey, the water stored in the Swamp was about 2,918 Million Cubic Metres (MCM) and about 1,200 MCM of the Swamp’s capacity was lost to sedimentation. The study generally concludes that Lukanga Swamp has significantly lost the original storage capacity, a problem, which is recommended to Nature-based Solutions (NbS) so as to preserve the pristine of the natural habitat.
The characteristic of HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1 and -DPB1 loci in Zhejiang Han population
Authors: Tao Sudan , You Xuan , Chen Nanying , Dong Lina , Zhao Shuoxian , He Yizhen , Zhang Wei , Zhu Faming 
Published: January 2024

Abstract
The Zhejiang Han population, a subgroup of the Southern Han ethnic group, resides in Zhejiang Province, situated on the southeast coast of China. In this study, we conducted HLA genotyping for 813 voluntary umbilical cord blood donors from the Zhejiang Han population, targeting 11 HLA loci, namely HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1 and -DPB1, using the next-generation sequencing method. Our analysis of the alleles and haplotypes revealed a high degree of polymorphism within these loci. A total of 289 unique HLA alleles were identified, with the HLA-B locus exhibiting the most significant diversity, while HLA-DRB4 displayed the lowest variation. Due to the inherent limitations of the sequencing method, some unresolvable alleles in the specific loci, such as HLA-DRB1, -DPA1, and -DPB1, were assigned as G group designation. In our comprehensive analysis across all 11 HLA loci, a total of 1204 haplotypes were estimated. The distribution of these alleles were similar to those of the Chinese Southern Han population while highly different from the Caucasian population. These findings contribute to a deeper understanding of the genetic characteristics of HLA loci within the Chinese Southern Han population.
A Dense Residual Correlation Attention Multi-scale Network for Remote Sensing Scene Classification
Authors: Dai wei , Shi furong , Wang xinyu , Xu haixia , Yuan Liming , Wen xianbin 
Published: January 2024

Abstract
Remote sensing scene classification is a crucial task in the field of remote sensing technology, as it helps identify and categorize various geographical features on the Earth's surface. Recently, convolutional neural networks (CNNs) have been widely employed for scene classification in remote sensing images, leading to significant performance improvements. However, current CNN methods have certain limitations, primarily manifested in their tendency to overly focus on extracting high-level features, often overlooking essential information at different levels within the images. Furthermore, some approaches attempt to directly merge features from different levels, potentially resulting in issues of information redundancy or mutual exclusion. To address these challenges, this paper proposes an efficient method for remote sensing scene classification. Our approach involves three main contributions. First, we introduce a feature extraction module called multi-stream feature extraction, which effectively utilizes features at various scales and extracts features at different levels and depths. Second, we propose a dense residual connection feature fusion technique that enables comprehensive feature interactions and improves overall accuracy. Additionally, we introduce a correlated attention network to learn powerful feature representations at multiple levels, further improving classification performance. The method outperforms existing algorithms in terms of effectiveness and accuracy, achieving state-of-the-art results on four widely used remote sensing scene classification benchmarks.