bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between serum aldehyde concentrations and metabolic syndrome in adults
Authors: Ba Yanqun , Guo Qixin , Du Anning , Zheng Beibei , Wang Luyang , He Ying , Guan Yihong , Xin Yue , Shi Jinjin 
Published: May 2023

AbstractThe relationship between aldehyde exposure and metabolic syndrome is unclear; hence, we aimed to investigate the association between serum aldehyde concentrations and metabolic syndrome. We analyzed the data of 1471 participants from the National Health and Nutrition Examination Survey enrolled from 2013 to 2014. The association of serum aldehyde concentrations with metabolic syndrome was assessed via generalized linear models as well as restricted cubic splines, and endpoint events were further analyzed. After adjusting for covariates, both moderate (odds ratio [OR] = 2.73, 95% confidence interval [CI]: 1.34–5.56) and high (OR = 2.08, 95% CI: 1.06–4.07) concentrations of isovaleraldehyde were associated with the risk of metabolic syndrome. Interestingly, although a moderate concentration of valeraldehyde was associated with the risk of metabolic syndrome (OR = 1.08, 95% CI: 0.70–1.65), a high concentration was not (OR = 0.55, 95% CI: 0.17–1.79). Restricted cubic splines revealed a non-linear association between valeraldehyde and metabolic syndrome, and threshold effect analysis revealed that the inflection point for valeraldehyde concentration was 0.7 ng/mL. The results of the subgroup analysis revealed differences in the relationship of aldehyde exposure with components of metabolic syndrome. High isovaleraldehyde concentrations may increase the risk of metabolic syndrome, and valeraldehyde demonstrated a J-shaped relationship with the risk of metabolic syndrome.
Assessing nutrient and sediment load reduction potential of vegetation by utilizing the nutrient tracking tool at the field and watershed scale in a Great Lakes priority watershed
Authors: Pawlowski Ethan D. , Karwan Diana L. , Kolka Randall K. 
Published: May 2023

Abstract
Purpose
Nutrient and sediment pollution of surface waters remains a critical challenge for improving water quality. This study takes a user-friendly field-scale tool and assesses its ability to model at both the field and watershed scale within the Fox River Watershed (FRW), Wisconsin, USA, along with assessing how targeted vegetation implementation could attenuate nutrient and sediment exports.

Methods
To assess potential load reductions, the nutrient tracking tool (NTT) was used with a scoring system to identify areas where vegetation mitigation could be implemented within three selected FRW sub-watersheds. A corn soybean rotation, an implementation of a 10-m-vegetated buffer, a full forest conversion, and tiling were modeled and assessed. The corn–soybean results were aggregated and compared to watershed level gauge data in two sub-watersheds. Edge-of-field data was compared to modeled results using multiple parameterization schemes.

Results
The agricultural areas that scored higher and were untiled showed greater potential nutrient and sediment export reduction (up to 80 to 95%) when vegetation mitigation was implemented in the model. Field-scale results aggregated to the watershed scale showed disparities between modeled and measured phosphorus exports but modeled sediment exports fell within observed gauge data ranges. Field-specific parameter adjustments resulted in more accurate modeled results compared to measured edge-of-field export data but needed further refinement.

Conclusion
Targeted mitigation using a vegetation-based scoring system with the NTT model was shown to be a helpful tool for predicting nutrient and sediment reductions. Using a field-scale model aggregated to the watershed scale presents tradeoffs regarding processes found beyond the edge of field.
Review: Nicotinic acetylcholine receptors to regulate important brain activity—what occurs at the molecular level?
Authors: Nara Shigetoshi , Yamaguti Yutaka , Tsuda Ichiro 
Published: May 2023

AbstractHerein, we briefly review the role of nicotinic acetylcholine receptors in regulating important brain activity by controlled release of acetylcholine from subcortical neuron groups, focusing on a microscopic viewpoint and considering the nonlinear dynamics of biological macromolecules associated with neuron activity and how they give rise to advanced brain functions of brain.
Visualisation ergonomics and robotic surgery
Authors: Wong Shing Wai , Crowe Philip 
Published: May 2023

AbstractStereopsis may be an advantage of robotic surgery. Perceived robotic ergonomic advantages in visualisation include better exposure, three-dimensional vision, surgeon camera control, and line of sight screen location. Other ergonomic factors relating to visualisation include stereo-acuity, vergence–accommodation mismatch, visual–perception mismatch, visual–vestibular mismatch, visuospatial ability, visual fatigue, and visual feedback to compensate for lack of haptic feedback. Visual fatigue symptoms may be related to dry eye or accommodative/binocular vision stress. Digital eye strain can be measured by questionnaires and objective tests. Management options include treatment of dry eye, correction of refractive error, and management of accommodation and vergence anomalies. Experienced robotic surgeons can use visual cues like tissue deformation and surgical tool information as surrogates for haptic feedback.
Early Stage Melanoma of the Vermillion with Mucosal Melanoma in Situ: A Clinical Conundrum
Authors: Betz Sasha J. , Jelmini Jonathan J. , Kim Roderick Y. 
Published: May 2023

Abstract
Background
Melanoma is a predominantly cutaneous malignancy associated with sun exposure. Mucosal melanoma is rare and carries a distinct pathogenesis from cutaneous tumors. The vermillion of the lip is a unique site that divides cutaneous from mucosal tissues. Tumors arising on the dry aspect are classified as cutaneous and those of the wet aspect are mucosal. The distinction is importation in tumor staging as all mucosal melanomas are classified as T3-T4b under the current 8th edition American Joint Committee of Cancer (AJCC) guidelines.

Methods
We describe a case of early stage melanoma of the vermillion with associated mucosal melanoma in situ. We discuss nuances of management at this site and the distinctions between cutaneous versus mucosal melanomas with a review of the literature.

Results
Our patient was treated surgically with 2-3 cm margins. Residual melanoma in situ was present at the mucosal margin on final pathology which required a second surgery for margin revision. The case was discussed at tumor board with recommendation for no further treatment.

Conclusions
The nuances between the vermillion and mucosal lip must be understood for appropriate staging and treatment of melanomas. The paucity of literature on melanomas affecting this site render management decisions challenging. Multidisciplinary discussion is essential for guiding care.
Linguistic markers of processing the first months of the pandemic COVID-19: a psycholinguistic analysis of Italian university students' diaries
Authors: Gandino G. , Civilotti C. , Finzi S. , Gaboardi M. , Guazzini A. , Novara C. , Procentese F. , Santinello M. , Sola T. , Veglia F. , Venera E. M. , Di Fini G. 
Published: May 2023

Abstract
A longitudinal psycholinguistic study was conducted with 107 students from different Italian universities that produced daily photo-diary entries for two weeks, one at the beginning and the other at the end of the first Italian lockdown period, imposed in view of the rapid dissemination of COVID -19. The task was to take a daily photo accompanied by a short description (text). The texts accompanying the photos were analysed using Linguistic Inquiry and Word Count (LIWC) software to analyze linguistic markers representing psychological processes related to the experience of the pandemic and the lockdown, identifying potential changes in psycholinguistic variables useful for understanding the psychological impact of such harsh and extended restricted living conditions on Italian students. LIWC categories related to negation, anger, cognitive mechanisms, tentative discourse, past, and future increased statistically significantly between the two time points, while word count, prepositions, communication, leisure, and home decreased statistically significantly. While male participants used more articles at both time points, females used more words related to anxiety, social processes, past, and present at T1 and more related to insight at T2. Participants who lived with their partner showed higher scores on negative emotions, affect, positive feelings, anger, optimism, and certainty. Participants from southern Italy tended to describe their experiences from a collective and social perspective rather than an individual perspective. By identifying, discussing, and comparing these phenomena with the broader literature, a spotlight is shed for the first time on the psycholinguistic analysis of students at the national level who faced the first COVID -19 lockdown in Italy.
Stability and cross-lagged relations among callous-unemotional traits, moral identity, moral emotion attribution and externalizing behavior problems in adolescents
Authors: Bäker Neele 
Published: May 2023

AbstractThis study investigates the associations of adolescents callous-unemotional traits with moral constructs and the interplay of various outcomes. The present study builds on the lack of research and focuses on the longitudinal relationships between CU-traits, moral identity, moral emotion attribution and externalizing behavior problems in adolescence. The included variables were collected at test time points T1 and T2. To determine the predictive, and stability links among the variables, a cross-lagged model in SPSS AMOS 26 was conducted. Time stability path estimates were moderate to highly stable over time for all included variables. Significant cross lagged paths of moral identityT1 on moral emotion attributionT2, CU-traitsT1 on moral identityT2, externalizing behavior problemsT1 on moral emotion attributionsT2 and externalizing behavior problemsT1 on CU-traitsT2, could be found.
Non-coding RNAs in breast cancer: with a focus on glucose metabolism reprogramming
Authors: Liang Junjie , Ye Chun , Chen Kaiqin , Gao Zihan , Lu Fangguo , Wei Ke 
Published: May 2023

AbstractBreast cancer is the tumor with the highest incidence in women worldwide. According to research, the poor prognosis of breast cancer is closely related to abnormal glucose metabolism in tumor cells. Changes in glucose metabolism in tumor cells are an important feature. When sufficient oxygen is available, cancer cells tend to undergo glycolysis rather than oxidative phosphorylation, which promotes rapid proliferation and invasion of tumor cells. As research deepens, targeting the glucose metabolism pathway of tumor cells is seen as a promising treatment. Non-coding RNAs (ncRNAs), a recent focus of research, are involved in the regulation of enzymes of glucose metabolism and related cancer signaling pathways in breast cancer cells. This article reviews the regulatory effect and mechanism of ncRNAs on glucose metabolism in breast cancer cells and provides new ideas for the treatment of breast cancer.
Disparities in Lung Cancer: A Targeted Literature Review Examining Lung Cancer Screening, Diagnosis, Treatment, and Survival Outcomes in the United States
Authors: Dwyer Lisa L. , Vadagam Pratyusha , Vanderpoel Julie , Cohen Carol , Lewing Benjamin , Tkacz Joseph 
Published: May 2023

Abstract
Background
Although incidence and mortality of lung cancer have been decreasing, health disparities persist among historically marginalized Black, Hispanic, and Asian populations. A targeted literature review was performed to collate the evidence of health disparities among these historically marginalized patients with lung cancer in the U.S.

Methods
Articles eligible for review included 1) indexed in PubMed®, 2) English language, 3) U.S. patients only, 4) real-world evidence studies, and 5) publications between January 1, 2018, and November 8, 2021.

Results
Of 94 articles meeting selection criteria, 49 publications were selected, encompassing patient data predominantly between 2004 and 2016. Black patients were shown to develop lung cancer at an earlier age and were more likely to present with advanced-stage disease compared to White patients. Black patients were less likely to be eligible for/receive lung cancer screening, genetic testing for mutations, high-cost and systemic treatments, and surgical intervention compared to White patients. Disparities were also detected in survival, where Hispanic and Asian patients had lower mortality risks compared to White patients. Literature on survival outcomes between Black and White patients was inconclusive. Disparities related to sex, rurality, social support, socioeconomic status, education level, and insurance type were observed.

Conclusions
Health disparities within the lung cancer population begin with initial screening and continue through survival outcomes, with reports persisting well into the latter portion of the past decade. These findings should serve as a call to action, raising awareness of persistent and ongoing inequities, particularly for marginalized populations.
Above and Beyond: A Grounded Theory of Aotearoa/New Zealand High School Teachers’ Perspectives on International Study Tours
Authors: O’Donnell Donna , Orams Mark , Schänzel Heike 
Published: May 2023

AbstractThis paper addresses the dearth of research into the roles high school teachers play in organising and leading international study tours offered by high schools in New Zealand (prior to the COVID-19 pandemic). The aim of this paper is to provide insights into the motivations and experiences of teachers involved in these tours. A grounded theory approach was used, and qualitative data were collected via face-to-face interviews with eight teachers forming the basis of the development of a theory which proposes that both navigating and negotiating learning experiences are key aspects of the teacher’s role. Data revealed that the expectations and challenges placed upon the teachers had implications for their personal and professional lives. The tension between teachers’ perceived obligations for the safety of the students and the adolescent’s desire for freedom to explore whilst travelling proved difficult to resolve and teachers questioned the sacrifices they personally needed to make.
Wavefields in a cased hole surrounded by a formation with transverse isotropy caused by axial stresses
Authors: Liu Jinxia , Liu Jianyu , Cui Zhiwen , Kundu Tribikram 
Published: May 2023

AbstractUnderstanding acoustic field characteristics in the cased hole accompanied by stress is important for acoustical logging. This study investigates the behavior of multipole wavefields of a cased hole with a perfect combination of casing, cement, and formation under the formation borehole-axial stress. The formation can be equivalent to a transversely isotropic medium when uniaxial stress acts on isotropic formation based on nonlinear elasticity theory. The effect of axial stress in the formation on multipole wavefields in cased hole is investigated. Numerical results show that the phase slowness of Stoneley, flexural, and screw waves decreases with an increase in axial compressive stress. With the increase of uniaxial stresses, the arrival times of the full waveforms decrease, and the amplitudes of the full waveforms increase. These characteristics are similar to that of the open hole. For cased holes in soft formations, the excitation curves of flexural and screw waves shift to low frequencies as the stress increases; and the dispersion curves corresponding to excitation curves also exhibit a similar shift, while open holes do not have this pattern. The wavefields excited by a dipole source and quadrupole source in the cased hole in soft formation have more prominent changes in the frequency spectra, and the changes in the integral amplitudes of the full waveforms are larger than those of the open hole. We found that responses of wavefields excited by dipole and quadrupole sources in cased holes in soft formation to the axial stress are more sensitive than those in the open hole.
Experimental and model study on the weakening of gas hydrate-bearing sand considering dissociation
Authors: Zhang Yu , Hou Zhengsen , Li Jianwei , Cheng Zhiliang , Li Dayong 
Published: May 2023

AbstractHydrate decomposition changes the mechanical behavior of reservoirs, which threatens the safety of mining wells. Therefore, this study determines the weakening behavior of gas hydrate-bearing sands by performing triaxial shear tests considering decomposition based on drilling data from the Shenhu Sea. The results indicate that gas hydrate-bearing sands, both before and after hydrate decomposition, show a strain hardening trend, and the strength and cohesion increase with hydrate saturation. The dilatancy of the nondissociated specimen increases with hydrate saturation, while that of the dissociated specimen decreases. Moreover, hydrate decomposition causes the strength, cohesion and dilatancy of the specimen to decrease, exhibiting significant weakening behavior. Furthermore, a statistical damage constitutive model is proposed by considering that the microunit strength obeys the Drucker‒Prager criterion and Weibull distribution, and the model well describes the deformation and damage of gas hydrate-bearing sands due to decomposition.
CIMBL55: a repository for maize drought resistance alleles
Authors: Tian Tian , Qin Feng 
Published: May 2023

AbstractDroughts threaten crop yields worldwide. Compared to other major staple cereal crops, maize (Zea mays) is especially sensitive to drought, which can cause dramatic fluctuations in its yield potential. Natural maize populations contain many superior alleles that can enhance drought resistance through complex regulatory mechanisms. We recently de novo assembled the genome of a prominent drought-resistant maize germplasm, CIMBL55, and systematically dissected the genetic basis for its drought resistance on the genome, transcriptome, and epigenome levels. These analyses revealed 65 favorable drought resistance alleles in CIMBL55. Subsequently, we genetically verified the functions of the drought resistance genes ZmABF4, ZmNAC075, and ZmRtn16 and unraveled the function of ZmRtn16 on a molecular level.
Does micro/nano biochar always good to phytoremediation? A case study from multiple metals contaminated acidic soil using Salix jiangsuensis '172'
Authors: Xiao Jiang , Li Xiaogang , Cao Yini , Chen Guangcai 
Published: May 2023

AbstractBiochar amendments have shown great superiority in reduction of heavy metals (HM) toxicity and soil amelioration in severely contaminated mining areas, which suggested to facilitate vegetation rehabilitation using fast-growing trees. Bone biochar (BC) and ball-milled bone biochar (MBC) were fabricated by pyrolyzing bone meal at 600°C followed by eco-friendly wet-milling techniques. The effect of BC and MBC application (0, 0.5, 1.0, 2.0 and 4.0 wt%) on soil properties, plant growth and metal accumulation of Salix jiangsuensis '172' (SJ-172) in multi-metal (Cu, Pb, Cd and Mn)-contaminated acid clay soil was investigated in a 150-day pot experiment. The results showed that BC and MBC considerably improved the survival rate of SJ-172 when the application rate was larger than 1.0%. MBC displayed outstanding performance in reducing HMs bioavailability and improving N and P soil fertility, while BC enhanced the reduction in acidity and increase in K supply. Interestingly, BC enhanced HMs accumulation (Cd 115.23%, Pb 161.82%, Mn 285.23% and 219.29% Cu at 4% application rate) by SJ-172 compared with MBC. Taken together, the good performance of BC in enhancing HMs accumulation in SJ-172 indicated that it is a promising amendment for phytoremediation of clay soils, while MBC can be utilized as an excellent amendment for HMs stabilization.
Graphical Abstract
Applying a One Health lens to understanding the impact of climate and environmental change on healthcare-associated infections
Authors: Graham Sabrina B. , Machalaba Catherine , Baum Sarah E. , Raufman Jill , Hill Sarah E. 
Published: May 2023

Abstract
The pace and trajectory of global and local environmental changes are jeopardizing our health in numerous ways, among them exacerbating the risk of disease emergence and spread in both the community and the healthcare setting via healthcare-associated infections (HAIs). Factors such as climate change, widespread land alteration, and biodiversity loss underlie changing human–animal–environment interactions that drive disease vectors, pathogen spillover, and cross-species transmission of zoonoses. Climate change–associated extreme weather events also threaten critical healthcare infrastructure, infection prevention and control (IPC) efforts, and treatment continuity, adding to stress to strained systems and creating new areas of vulnerability. These dynamics increase the likelihood of developing antimicrobial resistance (AMR), vulnerability to HAIs, and high-consequence hospital-based disease transmission. Using a One Health approach to both human and animal health systems, we can become climate smart by re-examining impacts on and relationships with the environment. We can then work collaboratively to reduce and respond to the growing threat and burden of infectious diseases.
Machine learning approaches for the prediction of serious fluid leakage from hydrocarbon wells
Authors: Rezvandehy Mehdi , Mayer Bernhard 
Published: May 2023

AbstractThe exploitation of hydrocarbon reservoirs may potentially lead to contamination of soils, shallow water resources, and greenhouse gas emissions. Fluids such as methane or CO2may in some cases migrate toward the groundwater zone and atmosphere through and along imperfectly sealed hydrocarbon wells. Field tests in hydrocarbon-producing regions are routinely conducted for detecting serious leakage to prevent environmental pollution. The challenge is that testing is costly, time-consuming, and sometimes labor-intensive. In this study, machine learning approaches were applied to predict serious leakage with uncertainty quantification for wells that have not been field tested in Alberta, Canada. An improved imputation technique was developed by Cholesky factorization of the covariance matrix between features, where missing data are imputed via conditioning of available values. The uncertainty in imputed values was quantified and incorporated into the final prediction to improve decision-making. Next, a wide range of predictive algorithms and various performance metrics were considered to achieve the most reliable classifier. However, a highly skewed distribution of field tests toward the negative class (nonserious leakage) forces predictive models to unrealistically underestimate the minority class (serious leakage). To address this issue, a combination of oversampling, undersampling, and ensemble learning was applied. By investigating all the models on never-before-seen data, an optimum classifier with minimal false negative prediction was determined. The developed methodology can be applied to identify the wells with the highest likelihood for serious fluid leakage within producing fields. This information is of key importance for optimizing field test operations to achieve economic and environmental benefits.