bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green information technology and green information systems: science mapping of present and future trends
Authors: Mat Nawi Mohd Nazim , Fauzi Muhammad Ashraf , Ting Irene Wei Kiong , Wider Walton , Amaka Gabari Barry 
Published: March 2024

PurposeThis study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study.Design/methodology/approachThis study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science.FindingsThe bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing.Research limitations/implicationsThe finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption.Originality/valueThe contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.
Redefining the hepatoprotective potential of Javanese turmeric (Curcuma xanthorrhiza) Kombucha towards the diethylnitrosamine-induced hepatotoxicity of mice
Authors: Zubaidah Elok , Dea Eirene Charista , Saparianti Ella , Putri Rhytia Ayu Christianty , Sujuti Hidayat , Srianta Ignatius , Godelive Laura , Tewfik Ihab 
Published: March 2024

PurposeThis research intended the utilization of Javanese turmeric (0.4% w/v) as a kombucha substrate and analysis of its hepatoprotective activity, in comparison against nonfermented Javanese turmeric beverage (JTB) and black tea kombucha.Design/methodology/approachForty-two healthy male Balb/c mice (two- to three-week-old, 20–30 g) were divided into six groups with seven replicates each. The treatments were normal diet, normal diet + Javanese turmeric kombucha (JTK), normal diet + diethylnitrosamine (DEN), DEN + JTB, DEN + JTK, DEN + black tea kombucha. Kombuchas and JTB were given at 0.3 mL/20 g BW/d. DEN was induced intraperitoneally at a dose of 100 mg/kg. Observed biomarkers were blood serum glutamate pyruvate transaminase (SGPT) and serum glutamate oxaloacetate transaminase (SGOT) activity, serum malonaldehyde (MDA), as well as liver histology. Data were analyzed using analysis of variance.FindingsAmong DEN-induced groups, JTK significantly (p< 0.05) diminished the level of blood SGPT, SGOT and serum MDA. JTK also had lower blood SGPT (8.604 ± 2.195 U/L) and serum MDA levels (2.884 ± 0.083 nM/mL) compared to the normal group (8.604 ± 2.195 U/L and 5.050 ± 0.998 nM/mL, respectively). JTK also produced the least damaged liver-cell numbers.Originality/valueJTK demonstrated better hepatoprotective activity compared to JTB.
The color of water: Racial and income differences in exposure to floods across US neighborhoods
Authors: Galster George C. , Galster Joshua , Vachuska Karl 
Published: March 2024

AbstractWe provide a US national portrait of annual average exposure to floods across racial/ethnic and income groups, using predictions from the First Street Foundation flooding exposure model. Nationally, we find that Native Americans in inland neighborhoods and Hispanics in coastal ones face (statistically) significantly higher average exposure to flooding than non‐Hispanic Whites, even when neighborhood income composition is controlled. Surprisingly, non‐Hispanic Blacks and Asians generally have significantly lower average exposure to floods than non‐Hispanic Whites. Lower income groups exhibit substantially higher exposure in inland areas than higher income groups—but not in coastal areas—when neighborhood racial/ethnic composition is controlled.
Core Outcome Set for IgE‐mediated food allergy clinical trials and observational studies of interventions: International Delphi consensus study ‘COMFA’
Authors: Demidova Anastasia , Drewitz Karl Philipp , Kimkool Parisut , Banjanin Nikolina , Barzylovich Vladyslava , Botjes Erna , Capper India , Castor Mary Anne R. , Comberiati Pasquale , Cook Emma E. , Costa Joana , Chu Derek K. , Epstein Michelle M. , Galvin Audrey Dunn , Giovannini Mattia , Girard Frédéric , Golding Michael A. , Greenhawt Matthew , Ierodiakonou Despo , Jones Christina J. , Khaleva Ekaterina , Knibb Rebecca C. , Macit‐Çelebi Melahat Sedanur , Mack Douglas P. , Mafra Isabel , Marchisotto Mary Jane , Mijakoski Dragan , Nekliudov Nikita , Özdemir Cevdet , Patel Nandinee , Pazukhina Ekaterina , Protudjer Jennifer L. P. , Rodríguez del Rio Pablo , Roomet Jelena , Sammut Patrick , Schoos Ann‐Marie Malby , Schopfer Anita Fossaluzza , Schultz Fallon , Seylanova Nina , Skypala Isabel , Sørensen Martin , Stoleski Sasho , Stylianou Eva , Upton Julia , van de Veen Willem , Genuneit Jon , Boyle Robert J. , Apfelbacher Christian , Munblit Daniel ,   COMFA Consortium
Published: March 2024

AbstractBackgroundIgE‐mediated food allergy (FA) is a global health concern with substantial individual and societal implications. While diverse intervention strategies have been researched, inconsistencies in reported outcomes limit evaluations of FA treatments. To streamline evaluations and promote consistent reporting, the Core Outcome Measures for Food Allergy (COMFA) initiative aimed to establish a Core Outcome Set (COS) for FA clinical trials and observational studies of interventions.MethodsThe project involved a review of published clinical trials, trial protocols and qualitative literature. Outcomes found as a result of review were categorized and classified, informing a two‐round online‐modified Delphi process followed by hybrid consensus meeting to finalize the COS.ResultsThe literature review, taxonomy mapping and iterative discussions with diverse COMFA group yielded an initial list of 39 outcomes. The iterative online and in‐person meetings reduced the list to 13 outcomes for voting in the formal Delphi process. One more outcome was added based on participant suggestions after the first Delphi round. A total of 778 participants from 52 countries participated, with 442 participating in both Delphi rounds. No outcome met a priori criteria for inclusion, and one was excluded as a result of the Delphi. Thirteen outcomes were brought to the hybrid consensus meeting as a result of Delphi and two outcomes, ‘allergic symptoms’ and ‘quality of life’ achieved consensus for inclusion as ‘core’ outcomes.ConclusionIn addition to the mandatory reporting of adverse events for FA clinical trials or observational studies of interventions, allergic symptoms and quality of life should be measured as core outcomes. Future work by COMFA will define how best to measure these core outcomes.
Psychological predictors of vaping uptake among non‐smokers: A longitudinal investigation of New Zealand adults
Authors: Conner Tamlin S. , Teah Grace E. , Sibley Chris G. , Turner Robin M. , Scarf Damian , Mason Andre 
Published: March 2024

AbstractIntroductionDemographic and health factors are known to predict vaping. Less is known about psychological predictors of vaping uptake, particularly among non‐smoking adults using longitudinal designs. We aimed to model how psychological factors related to personality and mental health predicted the likelihood of vaping uptake over time in non‐smoking adults ages 18+ using longitudinal data.MethodsLongitudinal regression models utilised data from the 2018–2020 waves of the New Zealand Attitudes and Values Study to assess how the Big Five personality traits, mental distress and self‐control predicted who began vaping over time among non‐users (non‐vapers and non‐smokers), controlling for gender, age, ethnicity and economic deprivation.ResultsAnalyses included 36,309 adults overall (ages 18 to 99; M = 51.0). The number of non‐users who transitioned into current vaping was small (transitioned from 2018 to 2019, n = 147; 0.48%; 2019 to 2020, n = 189, 0.63%). Fully adjusted models showed that adults with higher mental distress (adjusted odds ratio [aOR] 1.43; 95% confidence interval [CI] 1.09–1.88), lower self‐control (aOR 0.79; 95% CI 0.69–0.89) and higher extraversion (aOR 1.09; 95% CI 1.06–1.13) were more likely to begin vaping at the next time point compared to adults who remained non‐users. Higher neuroticism and lower conscientiousness also predicted vaping uptake in initial models, but inclusion of mental distress and self‐control superseded these traits.Discussion and ConclusionsPsychological factors related to mental distress, impulse control and sociability predicted who was more likely to begin vaping as non‐smoking adults. Harm prevention interventions could target these factors to reduce vaping uptake in non‐smokers.
SIF formula based on exact SIF distribution for semi‐elliptical surface cracks subjected to mode I, II, III uniform loading
Authors: Takase Yasushi , Noda Nao‐Aki 
Published: March 2024

AbstractThe stress intensity factor (SIF) distribution of a semi‐elliptical surface crack is often used for evaluating the fatigue strength of structures. Virtually exact distributions of SIFs
can be provided along the crack front by solving the hypersingular integral equation of the body force method. In this paper, to create a very accurate SIF variation formula, the elliptical crack SIF solutions
,
,
are used and the SIF ratios
,
,
are mainly focused. Paying attention to the corner point singularity, by applying the least squares method to the ratio
,
in the whole range of parametric angle
,
and
formulas can be proposed. Instead,
formula can be proposed by applying the method of least squares to the ratio of
in the range
but applying directly to
in the range
. In this way, all of formulas proposed in this paper provide the SIFs with better than 1.0% accuracy.
Significant accrual of soil organic carbon through long‐term rice cultivation in paddy fields in China
Authors: Yang Xiaomin , Song Zhaoliang , Van Zwieten Lukas , Guo Laodong , Chen Ji , Luo Zhongkui , Wang Yidong , Luo Yu , Wang Zhengang , Wang Weiqi , Wang Jingxu , Wang Yu , Liu Cong‐Qiang , Wang Hailong 
Published: March 2024

AbstractPaddy fields serve as significant reservoirs of soil organic carbon (SOC) and their potential for terrestrial carbon (C) sequestration is closely associated with changes in SOC pools. However, there has been a dearth of comprehensive studies quantifying changes in SOC pools following extended periods of rice cultivation across a broad geographical scale. Using 104 rice paddy sampling sites that have been in continuous cultivation since the 1980s across China, we studied the changes in topsoil (0–20 cm) labile organic C (LOC I), semi‐labile organic C (LOC II), recalcitrant organic C (ROC), and total SOC. We found a substantial increase in both the content (48%) and density (39%) of total SOC within China's paddy fields between the 1980s to the 2010s. Intriguingly, the rate of increase in content and density of ROC exceeded that of LOC (I and II). Using a structural equation model, we revealed that changes in the content and density of total SOC were mainly driven by corresponding shifts in ROC, which are influenced both directly and indirectly by climatic and soil physicochemical factors; in particular temperature, precipitation, phosphorous (P) and clay content. We also showed that the δ13CLOC were greater than δ13CROC, independent of the rice cropping region, and that there was a significant positive correlation between δ13CSOC and δ13Cstraw. The δ13CLOC and δ13CSOC showed significantly negative correlation with soil total Si, suggesting that soil Si plays a part in the allocation of C into different SOC pools, and its turnover or stabilization. Our study underscores that the global C sequestration of the paddy fields mainly stems from the substantial increase in ROC pool.
Comparison of migraine with left‐ versus right‐sided headache: A cross‐sectional study
Authors: Sprouse Blum Adam S. , DaSilva Lauren A. , Greenberg Michael D. , Nissenbaum Alexander J. , Shapiro Robert E. , Littenberg Benjamin 
Published: March 2024

AbstractObjectiveThe goal of this study was to clarify whether clinical differences exist between patients with migraine who experience headache that is typically left‐sided (“left‐migraine”) versus right‐sided (“right‐migraine”) during attacks.BackgroundMigraine has been associated with unilateral headache for millennia and remains a supportive trait for the clinical diagnosis of migraine of the International Classification of Headache Disorders. It is currently unknown why headache in migraine is commonly unilateral, and whether headache‐sidedness is associated with other clinical features.MethodsThis is a cross‐sectional study comparing left‐ versus right‐migraine using all available intake questionnaires of new patients evaluated at an academic tertiary headache center over a 20‐year period. Eligibility was based on patient written responses indicating the typical location of headache during attacks. In our analyses, the side of headache (left or right) was the predictor variable. The outcomes included various migraine characteristics and psychiatric comorbidities.ResultsWe identified 6527 patients with migraine, of which 340 met study eligibility criteria. Of these, 48.8% (166/340) had left migraine, and 51.2% (174/340) had right migraine. When comparing patients with left‐ versus right‐migraine, patients with left migraine experienced 3.6 fewer headache‐free days (95% confidence interval [CI] 1.3–5.9; p = 0.002) and 2.4 more severe headache days (95% CI 0.8–4.1; p = 0.004) in the previous 4 weeks. No significant differences in age, sex, handedness, migraine characteristics, or psychiatric comorbidities were identified between the two groups.ConclusionsPatients with migraine with typically left‐sided headache during attacks reported a higher burden of headache frequency and severity than those with typically right‐sided headache during attacks. These findings may have implications for our understanding of migraine pathophysiology, treatment, and clinical trial design.
Embodied GHG of missing middle: Residential building form and strategies for more efficient housing
Authors: Rankin Keagan Hudson , Arceo Aldrick , Isin Kaan , Saxe Shoshanna 
Published: March 2024

AbstractThis research addresses two critical problems facing communities today: the growing demand for housing and the need to reduce material consumption to mitigate the impacts of climate change. Material production and use accounts for more than 25% of annual global greenhouse gas (GHG) emissions and must be reduced to meet the Paris Climate Agreement's 2°C target. At the same time, increasing urban populations are accelerating the demand for housing and construction materials. Strategies for supplying more materially efficient housing are urgently needed. Here, we quantify the impact of residential form on embodied emissions. Specifically, we look at the reduction potential of missing middle (low‐rise multi‐unit) housing, compare missing middle to single‐family and mid/high‐rise buildings, and identify opportunities for optimizing efficiency within forms. Forty‐two new material quantifications are calculated using an ontology based on MasterFormat and UniFormat. Minimum, maximum, and most likely GHG emissions factors are used to convert material mass to CO2eq. We observe embodied GHG of missing middle buildings varying between 5540 and 39,600 kgCO2eq/bedroom. On average, multi‐unit missing middle buildings have significantly lower embodied GHG per bedroom than single‐family and mid/high‐rise buildings, but variability within forms is greater than between forms, indicating a large potential to reduce embodied GHG through building design. Best‐in‐class design strategies include reducing substructure size and indoor parking, limiting mid/high‐rise slab thickness, and choosing low‐GHG insulation products. Building missing middle homes in the 1st quartile of embodied GHG efficiency with minimum insulation emissions factors could reduce future embodied residential emissions in Ontario, Canada by 46.7%.
Effects of repeated tasting sessions on acceptability, emotional responses, and purchasing behaviors of waste‐to‐value‐added SCOBY (symbiotic culture of bacteria and yeast) ice cream
Authors: Mehta Annu , Serventi Luca , Kumar Lokesh , Torrico Damir D. 
Published: March 2024

AbstractThis study investigated the effects of repeated exposure on acceptability, emotional responses, and purchase intention of a novel symbiotic culture of bacteria and yeast (SCOBY) ice cream, compared to a control (no extra additives) and a guar gum ice cream sample, using three sessions: a survey (SCOBY information) and two tasting sessions (repeated‐exposure effect). Participants initially conducted blind evaluations of all samples, followed by an informed tasting. The blind tasting sessions evoked high arousal emotions for the SCOBY ice cream and positive emotions for the control and guar gum samples. The second session showed a rise in liking for sweetness (5.6–6.5) and texture (5.6–6.7) of the SCOBY samples. Sensory attributes such as flavor (odds ratio = 1.7) and texture (odds ratio = 1.7), coupled with positive emotions such as “happy” (odds ratio = 3.8), “pleasant” (odds ratio = 0.4), and “interested” (odds ratio = 3.8) affected purchase intention. The findings of this study provide valuable insights into participants' liking and emotional responses during repeated exposures to stimuli.Practical ApplicationsThe study's findings show that repeated exposure to novel products enhances consumer acceptance and emotional responses, challenging the current formats of traditional sensory studies. This implies that the introduction of novel products can be successful with repeated tasting exposure strategies. The focus on improving familiarity with sensory attributes, especially flavor and texture, can positively impact purchase intention. This insight can guide product positioning, marketing campaigns, and flavor development efforts, encouraging the successful integration of innovative products into the market.
Multitask deep learning for prediction of microvascular invasion and recurrence‐free survival in hepatocellular carcinoma based on MRI images
Authors: Wang Fang , Zhan Gan , Chen Qing‐qing , Xu Hou‐yun , Cao Dan , Zhang Yuan‐yuan , Li Yin‐hao , Zhang Chu‐jie , Jin Yao , Ji Wen‐bin , Ma Jian‐bing , Yang Yun‐jun , Zhou Wei , Peng Zhi‐yi , Liang Xiao , Deng Li‐ping , Lin Lan‐fen , Chen Yen‐wei , Hu Hong‐jie 
Published: March 2024

AbstractBackground and AimsAccurate preoperative prediction of microvascular invasion (MVI) and recurrence‐free survival (RFS) is vital for personalised hepatocellular carcinoma (HCC) management. We developed a multitask deep learning model to predict MVI and RFS using preoperative MRI scans.MethodsUtilising a retrospective dataset of 725 HCC patients from seven institutions, we developed and validated a multitask deep learning model focused on predicting MVI and RFS. The model employs a transformer architecture to extract critical features from preoperative MRI scans. It was trained on a set of 234 patients and internally validated on a set of 58 patients. External validation was performed using three independent sets (n = 212, 111, 110).ResultsThe multitask deep learning model yielded high MVI prediction accuracy, with AUC values of 0.918 for the training set and 0.800 for the internal test set. In external test sets, AUC values were 0.837, 0.815 and 0.800. Radiologists' sensitivity and inter‐rater agreement for MVI prediction improved significantly when integrated with the model. For RFS, the model achieved C‐index values of 0.763 in the training set and ranged between 0.628 and 0.728 in external test sets. Notably, PA‐TACE improved RFS only in patients predicted to have high MVI risk and low survival scores (p < .001).ConclusionsOur deep learning model allows accurate MVI and survival prediction in HCC patients. Prospective studies are warranted to assess the clinical utility of this model in guiding personalised treatment in conjunction with clinical criteria.
Identifying the impact of audit and feedback on the professional role of the nurse and psychological well‐being: An integrative systematic review
Authors: Michl Gabriella , Bail Kasia , Turner Murray , Paterson Catherine 
Published: March 2024

AbstractThis systematic review aimed to critically synthesis evidence to identify the impact that audit and feedback processes have on the professional role of the nurse and psychological well‐being. Little is known about the extent to which audit and feedback processes can positively or negatively impact the professional role of the nurse and psychological well‐being. An integrative systematic review was conducted. Covidence systematic review software was used to manage the screening process. Data extraction and methodological quality appraisal were conducted in parallel, and a narrative synthesis was conducted. Nurse participation and responsiveness to audit and feedback processes depended on self‐perceived motivation, content, and delivery; and nurses viewed it as an opportunity for professional development. However, audit was reported to negatively impact nurses' psychological well‐being, with impacts on burnout, stress, and demotivation in the workplace. Targeting framing, delivery, and content of audit and feedback is critical to nurses' satisfaction and successful quality improvement.
The effect of socioeconomic status on pediatric heart transplant outcomes at a single institution between 2013 and 2022
Authors: Armstrong Allison , Liang Jane W. , Char Danton , Hollander Seth A. , Pyke‐Grimm Kimberly A. 
Published: March 2024

AbstractBackgroundDisparities in pediatric heart transplant outcomes based on socioeconomic status (SES) have been previously observed. However, there is a need to reevaluate these associations in contemporary settings with advancements in transplant therapies and increased awareness of health disparities. This retrospective study aims to investigate the relationship between SES and outcomes for pediatric heart transplant patients.MethodsData were collected through a chart review of 176 pediatric patients who underwent first orthotopic heart transplantation (OHT) at a single center from 2013 to 2021. The Area Deprivation Index (ADI), a composite score based on U.S. census data, was used to quantify SES. Cox proportional hazards models and generalized linear models were employed to analyze the association between SES and graft failure, rejection rates, and hospitalization rates.ResultsThe analysis revealed no statistically significant differences in graft failure rates, rejection rates, or hospitalization rates between low‐SES and high‐SES pediatric heart transplant patients for our single‐center study.ConclusionThere may be patient education, policies, and social resources that can help mitigate SES‐based healthcare disparities. Additional multi‐center research is needed to identify post‐transplant care that promotes patient equity.