bluuebunny/crossref_metadata_2025_split huggingface dataset:
#SocialMediaWellness: Exploring a research agenda and conceptualization for healthy social media consumption
Authors: Mertz Breanne A. , Hass Ashley , Anderson Kelley Cours , Kaskela Timothy , Zmich Louis J. 
Published: June 2023

AbstractThe crossroads of scholar and marketer concerns related to healthy social media usage is where this study extends the burgeoning literature on consumer well‐being in the digital area by exploring the topic of social media wellness, made more salient during the pandemic era. Consumers spend increasing amounts of time on social media despite experiencing numerous negative repercussions. Various disciplines have contributed to the examination of this topic; however, scant research has been conducted within the consumer research or marketing disciplines. Therefore, this paper aims to shed light on the need for social media wellness by (1) highlighting issues related to social media consumption, (2) introducing a conceptual definition of social media wellness, (3) exploring consumers' perceptions and experiences of social media usage through topic analysis, and (4) providing a research agenda for scholars to pursue. Following an exploratory observation of common topics surrounding social media wellness, specific hashtags and their corresponding posts were gathered from Twitter and then examined using the topic modeling method Latent Dirichlet Allocation (LDA). Implications and future research are discussed accordingly.
Bioconversion of CO2 and potential of gas fermentation for mainstream applications: Critical advances and engineering challenges
Authors: Malusare Darshana U. , Ghumra Dishit P. , Yadav Manishkumar D. 
Published: June 2023

AbstractThe undesirable consequences of climate change are attributed to the ever‐increasing emissions of greenhouse gases, especially carbon dioxide. For the sustainable development of human society, there is an urgent need to develop novel techniques for efficient conversion and utilization of carbon dioxide. Hence, carbon capture and storage, artificial bioconversion of carbon dioxide are topics of great interest for current researchers across the globe. Here, we elucidate the different techniques of carbon fixation, which fall under the broad categories of natural fixation pathways, thermo‐catalytic conversion techniques, and synthetic carbon fixation pathways. Based on a comparative analysis, gas fermentation is a promising method for the microbial conversion of CO2‐containing gases into fuels and chemicals. However, for mainstream applications, in‐depth reviews of different reactor configurations and the various engineering aspects related to process development are still lacking. We have analyzed the published literature relating to artificial bioconversion of carbon dioxide and focused on the factors like equipment selection and reactor design that can assist in scale‐up of gas fermentation technology. The review provides an in‐depth understanding of engineering aspects related to stirred tank and bubble column reactors, focusing on the technical design parameters and discussing the conditions for optimal operation and performance during commercial gas fermentation processes.
Adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations and cancer risk: A systematic review and meta‐analysis
Authors: Malcomson Fiona C. , Wiggins Christopher , Parra‐Soto Solange , Ho Frederick K. , Celis‐Morales Carlos , Sharp Linda , Mathers John C. 
Published: June 2023

AbstractBackgroundThe World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations are lifestyle‐based guidelines that aim to reduce cancer risk. A systematic review and meta‐analysis of studies investigating associations between a score for adherence to the 2018 Cancer Prevention Recommendations and cancer risk was conducted.MethodsMEDLINE, Embase, Web of Science, and Scopus were searched for studies published to November 28, 2022. In meta‐analysis, the estimated risk ratios and 95% CIs for adherence score as a continuous (per 1‐point increment) and categorical (highest vs. lowest score category) variable using random‐effects models were estimated.ResultsEighteen studies (11 cohort; seven case‐control) were included investigating incidence of breast (n = 7), colorectal (n = 5), prostate (n = 2), lung (n = 2), pancreatic (n = 1), endometrial (n = 1), unknown primary cancer (n = 1), chronic lymphocytic leukemia (n = 1), and overall (any) cancer (n = 1). The summary risk ratio per 1‐point increment in adherence score was 0.89 (95% CI, 0.85–0.93; I2 = 76.5%; n = 7) for breast cancer, 0.88 (95% CI, 0.84–0.91; I2 = 26.2%; n = 4) for colorectal cancer, and 0.92 (95% CI, 0.86–0.98, I2 = 66.0%; n = 2) for lung cancer. There were no significant associations with prostate or other cancers. Meta‐analysis results using categorical adherence score variables were consistent with these findings.ConclusionsGreater adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations was associated with lower risk of breast, colorectal, and lung cancers. Future studies investigating associations with risk of other forms of cancer are warranted.PROSPERO registration numberCRD42022313327.
The sustainable development trend in environmental, social, and governance issues and stakeholder engagement: Evidence from mergers and acquisitions in China
Authors: Ma Ruichen 
Published: June 2023

AbstractThis study investigates how potential target firms' environmental, social, and governance (ESG) performance affects bid premiums during the merger and acquisition (M&A) process. Using a sample of 5658 M&A deals between 2009 to 2020, we provide new evidence that target firms' ESG rating is positively correlated to bid price, particularly when the target firm scores highly on their singular environmental and governance ratings, whereas the targets with high single social ratings alone are not correlated to bid price. Our results also implied that when the target has lower environmental and governance performance, M&A deals are less likely to face bid premiums. We additionally find that the target firms of non‐state‐owned enterprises (non‐SOEs) are more likely to have a higher bid price as opposed to state‐owned enterprises' (SOEs) target firms. Additionally, we find that targets' ESG rating is positively correlated to target shareholder value creation, as well as being positively correlated to short bid deal negotiation times. Overall, our findings are in line with target‐resistance theory, which states that high ESG performance targets can use their ESG advantages to increase their bid price, as well as increase stakeholder engagement and generation of post‐M&A synergy.
Multi‐wavelength multi‐direction laser light scattering for cell characterization using machine learning‐based methods
Authors: Liu Lina , Islam Md Zahurul , Liu Xiaoxuan , Gupta Manisha , Rozmus Wojciech , Mandal Mrinal , Tsui Ying Yin 
Published: June 2023

AbstractCell identification and analysis play a crucial role in many biology‐ and health‐related applications. The internal and surface structures of a cell are complex and many of the features are sub‐micron in scale. Well‐resolved images of these features cannot be obtained using optical microscopy. Previous studies have reported that the single‐cell angular laser‐light scattering patterns (ALSP) can be used for label‐free cell identification and analysis. The ALSP can be affected by cell properties and the wavelength of the probing laser. Two cell properties, cell surface roughness and the number of mitochondria, are investigated in this study. The effects of probing laser wavelengths (blue, green, and red) and the directions of scattered light collection (forward, side, and backward) are studied to determine the optimum conditions for distinguishing the two cell properties. Machine learning (ML) analysis has been applied to ALSP obtained from numerical simulations. The results of ML analysis show that the backward scattering is the best direction for characterizing the surface roughness, while the forward scattering is the best direction for differentiating the number of mitochondria. The laser light having red or green wavelength is found to perform better than that having the blue wavelength in differentiating the surface roughness and the number of mitochondria. This study provides important insights into the effects of probing laser wavelength on gaining information about cells from their ALSP.
Potency trends of cannabis in Jamaica during the period of 2014 to 2020
Authors: Lindsay Carole M. , Bernard Khalia K. , Hammond Amanda M. , Beckford Sheldon , Abel Wendel D. , Brown Paul D. , Young Lauriann E. 
Published: June 2023

AbstractReports suggest that cannabis potency has dramatically increased over the last decade in the USA and Europe. Cannabinoids are the terpeno‐phenolic compounds found in the cannabis plant and are responsible for its pharmacological activity. The two most prominent cannabinoids are delta‐9‐tetrahydrocannabinol (Δ9THC) and cannabidiol (CBD). Cannabis potency is measured not only by the Δ9THC levels but also by the ratio of Δ9THC to other non‐psychoactive cannabinoids, namely, CBD. Cannabis use was decriminalized in Jamaica in 2015, which opened the gates for the creation of a regulated medical cannabis industry in the country. To date, there is no information available on the potency of cannabis in Jamaica. In this study, the cannabinoid content of Jamaican‐grown cannabis was examined over the period 2014–2020. Two hundred ninety‐nine herbal cannabis samples were received from 12 parishes across the island, and the levels of the major cannabinoids were determined using gas chromatography–mass spectrometry. There was a significant increase (p < 0.05) in the median total THC levels of cannabis samples tested between 2014 (1.1%) and 2020 (10.2%). The highest median THC was detected in the central parish of Manchester (21.1%). During the period, THC/CBD ratios increased from 2.1 (2014) to 194.1 (2020), and there was a corresponding increase in the percent freshness of samples (CBN/THC ratios <0.013). The data show that a significant increase in the potency of locally grown cannabis has occurred in Jamaica during the last decade.
Comparative study on physicochemical properties, microbial composition, and the volatile component of different light flavor Daqu
Authors: Hu Panpan , Wang Ji , Ali Urooj , Aziz Tariq , Sameeh Manal Y. , Feng Caiping 
Published: June 2023

AbstractBaijiu, a type of liquor, is known for its pure fragrance and softness. Its unique style is attributed to the complex microbial flora and flavor precursors found in Daqu. In order to elaborate the nature of light flavor Daqu to guide the baijiu production, four Daqu samples (DQ1, DQ2, DQ3, and DQ4) from Shanxi province were analyzed to determine their microbial structure, physicochemical properties, and volatile flavors using high‐throughout put seqencing and headspace solid‐phase microextraction/gas chromatography–mass spectrometry method in this study. The findings indicated that there were no noticeable variations in the water content and esterase activity of the four Daqu. However, the DQ2 sample had a higher acidity value and saccharifying enzyme activity, whereas DQ3 had the highest protease activity. The microbial community structure of the four Daqu was similar, with Lactobacillus and Streptophyta as the dominant bacteria, but the abundance of bacteria was different among the four Daqu. Issachenkia was a common dominant fungus genus in all samples. Rhizopus and Lichtemia were higher in DQ1 and DQ2, while Torulaspora, Aspergillus, and Candida were more prevalent in DQ4. A total of 27 volatile components were detected in the four Daqu, including esters, alcohols, ketones, aldehydes, and acids. DQ2 had the most volatile components and ethyl lactate and ethyl acetate were the most significant esters in the four samples. In conclusion, the physicochemical indicators of the four light flavor Daqu had distinct differences. There were significant variations in the abundance of bacteria and fungi, leading to differences in the volatile component content. These research findings can serve as a theoretical foundation for blending different light flavors Daqu and hold great significance in enhancing the quality of baijiu.
Challenges of hesitancy in human papillomavirus vaccination: Bibliometric and visual analysis
Authors: Deng Disi , Shen Yifeng , Li Wanjing , Zeng Nan , Huang Yefang , Nie Xiaowei 
Published: June 2023

AbstractBackgroundHuman papillomavirus (HPV) vaccine has immense research value in the prevention of related tumours. A huge body of work has been published in this field, which may pose difficulties for researchers aiming to investigate all the available information. However, bibliometrics can provide deep insights into this research field.ObjectiveWe aimed to study HPV vaccine development, visually analyse the development status, trends, research hotspots, and frontiers of this field, and provide a reference for research on it.MethodsArticles were acquired from the Web of Science Core Collection. VOS viewer and CiteSpace software were used to analyse publication growth, country/region, institution, journal distribution, author, reference, and keywords, and collected burst keyword words to display research hotspots.ResultsA total of 4831 references were obtained, and the annual number of publications increased fluctuating over the past decade. The United States of America ranked at the top in terms of percentage of articles. The institution with the highest number of research publications in this field was the Centers for Disease Control and Prevention. The most productive and frequently cited authors was Lauri E Markowitz. The journal with the most publications in this field was Vaccine, and the most influential journal was Paediatrics. The most frequently cited reference was ‘A 9‐Valent HPV Vaccine against Infection and Intraepithelial Neoplasia in Women’. Burst detection analysis of top keywords showed that ‘national immunisation survey’, ‘social media’, and ‘hesitancy’ are the current research frontiers in this field.ConclusionThis study provides useful information for acquiring knowledge on HPV vaccine. Research on solving the hesitation of HPV vaccination will become an academic trend in this field, which can offer guidance for more extensive and in‐depth studies in the future.
The role of effort type and intensity in children's decisions about effort‐based outcomes
Authors: Kiefer Sarah L. , Caballero Alejandro , Lucca Kelsey 
Published: June 2023

AbstractDespite the importance of persistence in early learning, we know little about how children reason about outcomes that result from their efforts. Here we examined the role of effort type (i.e., physical vs. cognitive) and intensity (i.e., high vs. low effort) in shaping children's decision making about effort‐based rewards. Five‐ to 7‐year‐olds (N = 133) were assigned to one of four conditions (High Physical Effort, Low Physical Effort, High Cognitive Effort, Low Cognitive Effort) and completed a series of tasks to construct a toy. Tasks varied in the type (physical/cognitive) and intensity (high/low) of effort required to complete them. After constructing their toy, children completed a series of tasks to probe how much they valued that toy. Across conditions, children preferred their toy and gave it a higher monetary value, relative to a stranger's. However, when choosing their toy came at a cost, children no longer preferred it. Only children who built their toy through either cognitive or low effort were willing to incur a cost for their toy. Older children, across conditions, were also more likely to incur a cost for their toy. These findings demonstrate that by age five, children are sensitive to variations in effort type and intensity, and these factors shape how they evaluate effort‐based rewards.
Development and Validation of Novel Free Vitamin D Equations: The Health Aging and Body Composition Study
Authors: Cheng Jonathan H. , Hoofnagle Andrew N. , Katz Ronit , Kritchevsky Stephen B. , Shlipak Michael G. , Sarnak Mark J. , Ix Joachim H. , Ginsberg Charles 
Published: June 2023

ABSTRACTVitamin D deficiency is prevalent in 25% of Americans. However, 25(OH)D may not be an accurate measure of vitamin D because the majority (85%–90%) of 25(OH)D is bound to vitamin D binding protein (VDBP), which varies by over 30% across individuals. Free 25(OH)D may be a better measure, but it is difficult to measure accurately and precisely. The existing free 25(OH)D estimating equation does not include VDBP phenotypes; therefore, new equations that include this variable may be more accurate. A total of 370 participants in the Health, Aging, and Body Composition Study, a cohort of healthy community‐dwelling individuals aged 70–79 years old, underwent VDBP and vitamin D metabolite [25(OH)D, 24,25(OH)2D, 1,25(OH)2D, free 25(OH)D] measurements and were randomly allocated into equation development (two out of three) and internal validation (one out of three) groups. New equations were developed with multiple linear regression and were internally validated with Bland–Altman plots. The mean age was 75 ± 3 years, 53% were female, and the mean measured free 25(OH)D was 5.37 ± 1.81 pg/mL. Three equations were developed. The first equation included albumin, 25(OH)D3, 25(OH)D2, VDBP, 1,25(OH)2D3, and 24,25(OH)2D3. The second equation included all variables in Eq. (1) plus VDBP phenotypes. The third equation included albumin, 25(OH)D3, intact parathyroid hormone, and 1,25(OH)2D3. In internal validation, all three new equations predicted free 25(OH)D values within 30% and 15% of the measured free 25(OH)D concentrations in 76%–80% and 48%–52% of study participants, respectively. Equation (2) was the most precise, with a mean bias of 0.06 (95% limits of agreement −2.41 to 2.30) pg/mL. The existing equation estimated free 25(OH)D within 30% and 15% of measured free 25(OH)D in 43% and 22% of participants, respectively. Free 25(OH)D can be estimated with clinically available biomarkers as well as with more laboratory‐intensive biomarkers with moderate precision. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
Performance of the COSMO solvation model for photoacidity and basicity in water
Authors: Ghiami‐Shomami Ali , Hättig Christof 
Published: June 2023

AbstractThe possibilities and problems to predict excited‐state acidities and basicities in water with electronic structure calculations combined with a continuum solvation model are investigated for a test set of photoacids and photobases. Different error sources, like errors in the ground‐state values, the excitation energies in solution for the neutral and (de‐)protonated species, basis set effects, and contributions beyond implicit solvation are investigated and their contributions to the total error in are discussed. Density functional theory in combination with the conductor like screening model for real solvents and an empirical linear Gibbs free energy relationship are used to predict the ground‐state values. For the test set, this approach gives more accurate values for the acids than for the bases. Time‐dependent density‐functional theory (TD‐DFT) and second‐order wave function methods in combination with the conductor like screening model are applied to compute excitation energies in water. Some TD‐DFT functionals fail for several species to predict correctly the order of the lowest excitations. Where experimental data for absorption maxima in water is available, the implicit solvation model leads with the applied electronic structure methods in most cases for the excitation energies in water to an overestimation for the protonated and to an underestimation for the deprotonated species. The magnitude and sign of the errors depend on the hydrogen bond donating and accepting ability of the solute. We find that for aqueous solution this results generally in an underestimation in the changes from the ground to the excited state for photoacids and an overestimation for photobases.
Evaluating a Phase‐Specific Approach to Aortic Flow: A 4D Flow MRI Study
Authors: Ramaekers Mitch J.F.G. , Westenberg Jos J.M. , Venner Max F.G.H.M. , Juffermans Joe F. , van Assen Hans C. , te Kiefte Bastiaan J.C. , Adriaans Bouke P. , Lamb Hildo J. , Wildberger Joachim E. , Schalla Simon 
Published: June 2023

BackgroundAortic flow parameters can be quantified using 4D flow MRI. However, data are sparse on how different methods of analysis influence these parameters and how these parameters evolve during systole.PurposeTo assess multiphase segmentations and multiphase quantification of flow‐related parameters in aortic 4D flow MRI.Study TypeProspective.Population40 healthy volunteers (50% male, 28.9 ± 5.0 years) and 10 patients with thoracic aortic aneurysm (80% male, 54 ± 8 years).Field Strength/Sequence4D flow MRI with a velocity encoded turbo field echo sequence at 3 T.AssessmentPhase‐specific segmentations were obtained for the aortic root and the ascending aorta. The whole aorta was segmented in peak systole. In all aortic segments, time to peak (TTP; for flow velocity, vorticity, helicity, kinetic energy, and viscous energy loss) and peak and time‐averaged values (for velocity and vorticity) were calculated.Statistical TestsStatic vs. phase‐specific models were assessed using Bland–Altman plots. Other analyses were performed using phase‐specific segmentations for aortic root and ascending aorta. TTP for all parameters was compared to TTP of flow rate using paired t‐tests. Time‐averaged and peak values were assessed using Pearson correlation coefficient. P < 0.05 was considered statistically significant.ResultsIn the combined group, velocity in static vs. phase‐specific segmentations differed by 0.8 cm/sec for the aortic root, and 0.1 cm/sec (P = 0.214) for the ascending aorta. Vorticity differed by 167 sec−1 mL−1 (P = 0.468) for the aortic root, and by 59 sec−1 mL−1 (P = 0.481) for the ascending aorta. Vorticity, helicity, and energy loss in the ascending aorta, aortic arch, and descending aorta peaked significantly later than flow rate. Time‐averaged velocity and vorticity values correlated significantly in all segments.Data ConclusionStatic 4D flow MRI segmentation yields comparable results as multiphase segmentation for flow‐related parameters, eliminating the need for time‐consuming multiple segmentations. However, multiphase quantification is necessary for assessing peak values of aortic flow‐related parameters.Level of Evidence2Technical Efficacy Stage3