bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing the depth perception of DSA images with 2D–3D registration
Authors: Zhang Xiaofeng , Deng Yongzhi , Tian Congyu , Chen Shu , Wang Yuanqing , Zhang Meng , Wang Qiong , Liao Xiangyun , Si Weixin 
Published: February 2023

ObjectiveToday, cerebrovascular disease has become an important health hazard. Therefore, it is necessary to perform a more accurate and less time-consuming registration of preoperative three-dimensional (3D) images and intraoperative two-dimensional (2D) projection images which is very important for conducting cerebrovascular disease interventions. The 2D–3D registration method proposed in this study is designed to solve the problems of long registration time and large registration errors in 3D computed tomography angiography (CTA) images and 2D digital subtraction angiography (DSA) images.MethodsTo make a more comprehensive and active diagnosis, treatment and surgery plan for patients with cerebrovascular diseases, we propose a weighted similarity measure function, the normalized mutual information-gradient difference (NMG), which can evaluate the 2D–3D registration results. Then, using a multi-resolution fusion optimization strategy, the multi-resolution fused regular step gradient descent optimization (MR-RSGD) method is presented to attain the optimal value of the registration results in the process of the optimization algorithm.ResultIn this study, we adopt two datasets of the brain vessels to validate and obtain similarity metric values which are 0.0037 and 0.0003, respectively. Using the registration method proposed in this study, the time taken for the experiment was calculated to be 56.55s and 50.8070s, respectively, for the two sets of data. The results show that the registration methods proposed in this study are both better than the Normalized Mutual (NM) and Normalized Mutual Information (NMI).ConclusionThe experimental results in this study show that in the 2D–3D registration process, to evaluate the registration results more accurately, we can use the similarity metric function containing the image gray information and spatial information. To improve the efficiency of the registration process, we can choose the algorithm with gradient optimization strategy. Our method has great potential to be applied in practical interventional treatment for intuitive 3D navigation.
A predictive model for consciousness recovery of comatose patients after acute brain injury
Authors: Zhou Liang , Chen Yuanyi , Liu Ziyuan , You Jia , Chen Siming , Liu Ganzhi , Yu Yang , Wang Jian , Chen Xin 
Published: February 2023

BackgroundPredicting the consciousness recovery for comatose patients with acute brain injury is an important issue. Although some efforts have been made in the study of prognostic assessment methods, it is still unclear which factors can be used to establish model to directly predict the probability of consciousness recovery.ObjectivesWe aimed to establish a model using clinical and neuroelectrophysiological indicators to predict consciousness recovery of comatose patients after acute brain injury.MethodsThe clinical data of patients with acute brain injury admitted to the neurosurgical intensive care unit of Xiangya Hospital of Central South University from May 2019 to May 2022, who underwent electroencephalogram (EEG) and auditory mismatch negativity (MMN) examinations within 28 days after coma onset, were collected. The prognosis was assessed by Glasgow Outcome Scale (GOS) at 3 months after coma onset. The least absolute shrinkage and selection operator (LASSO) regression analysis was applied to select the most relevant predictors. We combined Glasgow coma scale (GCS), EEG, and absolute amplitude of MMN at Fz to develop a predictive model using binary logistic regression and then presented by a nomogram. The predictive efficiency of the model was evaluated with AUC and verified by calibration curve. The decision curve analysis (DCA) was used to evaluate the clinical utility of the prediction model.ResultsA total of 116 patients were enrolled for analysis, of which 60 had favorable prognosis (GOS ≥ 3). Five predictors, including GCS (OR = 13.400, P &lt; 0.001), absolute amplitude of MMN at Fz site (FzMMNA, OR = 1.855, P = 0.038), EEG background activity (OR = 4.309, P = 0.023), EEG reactivity (OR = 4.154, P = 0.030), and sleep spindles (OR = 4.316, P = 0.031), were selected in the model by LASSO and binary logistic regression analysis. This model showed favorable predictive power, with an AUC of 0.939 (95% CI: 0.899–0.979), and calibration. The threshold probability of net benefit was between 5% and 92% in the DCA.ConclusionThis predictive model for consciousness recovery in patients with acute brain injury is based on a nomogram incorporating GCS, EEG background activity, EEG reactivity, sleep spindles, and FzMMNA, which can be conveniently obtained during hospitalization. It provides a basis for care givers to make subsequent medical decisions.
Evaluation of KRASG12C inhibitor responses in novel murine KRASG12C lung cancer cell line models
Authors: Sisler Daniel J. , Hinz Trista K. , Le Anh T. , Kleczko Emily K. , Nemenoff Raphael A. , Heasley Lynn E. 
Published: February 2023

IntroductionThe KRAS(G12C) mutation is the most common genetic mutation in North American lung adenocarcinoma patients. Recently, direct inhibitors of the KRASG12C protein have been developed and demonstrate clinical response rates of 37-43%. Importantly, these agents fail to generate durable therapeutic responses with median progression-free survival of ~6.5 months.MethodsTo provide models for further preclinical improvement of these inhibitors, we generated three novel murine KRASG12C-driven lung cancer cell lines. The co-occurring NRASQ61L mutation in KRASG12C-positive LLC cells was deleted and the KRASG12V allele in CMT167 cells was edited to KRASG12C with CRISPR/Cas9 methods. Also, a novel murine KRASG12C line, mKRC.1, was established from a tumor generated in a genetically-engineered mouse model.ResultsThe three lines exhibit similar in vitro sensitivities to KRASG12C inhibitors (MRTX-1257, MRTX-849, AMG-510), but distinct in vivo responses to MRTX-849 ranging from progressive growth with orthotopic LLC-NRAS KO tumors to modest shrinkage with mKRC.1 tumors. All three cell lines exhibited synergistic in vitro growth inhibition with combinations of MRTX-1257 and the SHP2/PTPN11 inhibitor, RMC-4550. Moreover, treatment with a MRTX-849/RMC-4550 combination yielded transient tumor shrinkage in orthotopic LLC-NRAS KO tumors propagated in syngeneic mice and durable shrinkage of mKRC.1 tumors. Notably, single-agent MRTX-849 activity in mKRC.1 tumors and the combination response in LLC-NRAS KO tumors was lost when the experiments were performed in athymic nu/nu mice, supporting a growing literature demonstrating a role for adaptive immunity in the response to this class of drugs.DiscussionThese new models of murine KRASG12C mutant lung cancer should prove valuable for identifying improved therapeutic combination strategies with KRASG12C inhibitors.
Effects of physical activity on lung function and quality of life in asthmatic children: An updated systematic review and meta-analysis
Authors: Jing Zenghui , Wang Xingzhi , Zhang Panpan , Huang Jinli , Jia Yuanyuan , Zhang Juan , Wu Huajie , Sun Xin 
Published: February 2023

Background and objectivesThe benefits of physical activity (PA) for asthmatic children were increasingly recognized, and as the design of studies on PA and asthma has become more refined in recent years, the latest evidence needed to be updated. We performed this meta-analysis to synthesize the evidence available from the last 10 years to update the effects of PA in asthmatic children.MethodsA systematic search was conducted in three databases, PubMed, Web of Science, and Cochrane Library. Randomized controlled trials were included, and two reviewers independently conducted the inclusion screening, data extraction, and bias assessment.ResultsA total of 9 studies were included in this review after 3,919 articles screened. PA significantly improved the forced vital capacity (FVC) (MD 7.62; 95% CI: 3.46 to 11.78; p &lt; 0.001), and forced expiratory flow between 25% and 75% of forced vital capacity (FEF25–75) (MD 10.39; 95% CI: 2.96 to 17.82; p = 0.006) in lung function. There was no significant difference in forced expiratory volume in the first second (FEV1) (MD 3.17; 95% CI: −2.82 to 9.15; p = 0.30) and fractional exhaled nitric oxide (FeNO) (MD −1.74; 95% CI: −11.36 to 7.88; p = 0.72). Also, PA significantly improved the quality of life as assessed by the Pediatric Asthma Quality of Life Questionnaire (all items p &lt; 0.05).ConclusionsThis review suggested that PA could improve FVC, FEF25–75, and quality of life in asthmatic children, but there was insufficient evidence of improvement in FEV1 and airway inflammation.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022338984.
A subcritical water extract of soil grown Zingiber officinale Roscoe: Comparative analysis of antioxidant and anti-inflammatory effects and evaluation of bioactive metabolites
Authors: Razak Azraul Mumtazah , Zakaria Siti Nor Asyikin , Abdul Sani Nur Fathiah , Ab Rani Nazirah , Hakimi Nur Haleeda , Mohd Said Mazlina , Tan Jen Kit , Gan Han Kwang , Mad Nordin Mariam Firdhaus , Makpol Suzana 
Published: February 2023

Introduction: Ginger (Zingiber officinale Roscoe) can scavenge free radicals, which cause oxidative damage and inflamm-ageing. This study aimed to evaluate the antioxidant and anti-inflammatory effects of soil ginger's sub-critical water extracts (SWE) on different ages of Sprague Dawley (SD) rats. The antioxidant properties and yield of SWE of soil- and soilless-grown ginger (soil ginger and soilless ginger will be used throughout the passage) were compared and evaluated.Methods: Three (young), nine (adult), and twenty-one (old) months old SD rats were subjected to oral gavage treatments with either distilled water or the SWE of soil ginger at a concentration of 200 mg/kg body weight (BW) for three months.Results: Soil ginger was found to yield 46% more extract than soilless ginger. While [6]-shogaol was more prevalent in soilless ginger, and [6]-gingerol concentration was higher in soil ginger (p &lt; 0.05). Interestingly, soil ginger exhibited higher antioxidant activities than soilless ginger by using 2,2-diphenyl-1-(2,4,6-trinitrophenyl) hydrazyl (DPPH) and ferric reducing antioxidant power (FRAP) assay. With ginger treatment, a reduced levels of tumour necrosis factor-α (TNF-α) and C-reactive protein (CRP) but not interleukin-6 (IL-6) were observed in young rats. In all ages of SD rats, ginger treatment boosted catalase activity while lowering malondialdehyde (MDA). Reduction of urine 15-isoprostane F2t in young rats, creatine kinase-MM (CK-MM) in adult and old rats and lipid peroxidation (LPO) in young and adult rats were also observed.Discussion: The findings confirmed that the SWE of both soil and soilless grown ginger possessed antioxidant activities. Soil ginger produced a higher yield of extracts with a more prominent antioxidant activity. The SWE of soil ginger treatment on the different ages of SD rats ameliorates oxidative stress and inflammation responses. This could serve as the basis for developing a nutraceutical that can be used as a therapeutic intervention for ageing-related diseases.
Initial risk factors, self-compassion trajectories, and well-being outcomes during the COVID-19 pandemic: A person-centered approach
Authors: Kil Hali , Lacourse Eric , Mageau Geneviève A. , Pelletier-Dumas Mathieu , Dorfman Anna , Stolle Dietlind , Lina Jean-Marc , de la Sablonnière Roxane 
Published: February 2023

IntroductionWe investigated whether initial risk classes and heterogeneous trajectories of self-compassion over the course of the pandemic may impact well-being outcomes 1 year into the pandemic.MethodsA large, representative sample of Canadians (N = 3,613; 50.6% women) was sampled longitudinally over 11 waves (April 2020–April 2021), using a rolling cross-sectional survey design. Analyses were conducted in three steps: (1) latent class analysis to identify heterogeneity in risk factors (sociodemographic, cognitive-personality, health-related) early in the pandemic, (2) latent class growth analysis (LCGA) to identify longitudinal self-compassion trajectories, and (3) GLM to examine effects of risk factor classes and self-compassion trajectories, as well as their interaction, on later well-being (mental health, perceived control, life satisfaction).Results and DiscussionFour risk factor classes emerged, with 50.9% of participants experiencing low risk, 14.3% experiencing multiple risks, 20.8% experiencing Cognitive-Personality and Health risks, and 14.0% experiencing sociodemographic and Cognitive-Personality risks. Four self-compassion trajectories also emerged, with 47.7% of participants experiencing moderate-high self-compassion that decreased then stabilized, 32.0% experiencing moderate self-compassion that decreased then stabilized, 17.3% experiencing high and stable self-compassion across time, and 3.0% experiencing low and decreasing self-compassion. Comparisons of well-being outcomes 1 year post-pandemic indicated that higher levels of self-compassion over time may protect against the impact of initial risk on well-being outcomes. Further work is still needed on heterogeneity in experiences of risk and protective factors during stressful life events.
Contemporary trends in psychological research on conspiracy beliefs. A systematic review
Authors: Pilch Irena , Turska-Kawa Agnieszka , Wardawy Paulina , Olszanecka-Marmola Agata , Smołkowska-Jędo Wiktoria 
Published: February 2023

BackgroundThe number of psychological studies on conspiracy beliefs has been systematically growing for about a dozen years, but in recent years, the trend has intensified. We provided a review covering the psychological literature on conspiracy beliefs from 2018 to 2021. Halfway through this period, the COVID-19 pandemic broke out, accompanied by an explosion of movements based on conspiracy theories, intensifying researchers’ interest in this issue.MethodsAdhering to PRISMA guidelines, the review systematically searched for relevant journal articles published between 2018 and 2021. A search was done on Scopus and Web of Science (only peer-reviewed journals). A study was included if it contained primary empirical data, if specific or general conspiracy belief(s) were measured and if its correlation with at least one other psychological variable was reported. All the studies were grouped for the descriptive analysis according to the methodology used, the participants’ characteristics, the continent of origin, the sample size, and the conspiracy beliefs measurement tools. Due to substantial methodological heterogeneity of the studies, narrative synthesis was performed. The five researchers were assigned specific roles at each stage of the analysis to ensure the highest quality of the research.ResultsFollowing the proposed methodology, 308 full-text articles were assessed for eligibility and 274 articles (417 studies) meeting the inclusion criteria were identified and included in the review. Almost half of the studies (49.6%) were conducted in European countries. The vast majority of the studies (85.7%) were carried out on samples of adult respondents. The research presents antecedents as well as (potential) consequences of conspiracy beliefs. We grouped the antecedents of conspiracy beliefs into six categories: cognitive (e.g., thinking style) motivational (e.g., uncertainty avoidance), personality (e.g., collective narcissism), psychopathology (e.g., Dark Triad traits), political (e.g., ideological orientation), and sociocultural factors (e.g., collectivism).Conclusion and limitationsThe research presents evidence on the links between conspiracy beliefs and a range of attitudes and behaviors considered unfavorable from the point of view of individuals and of the society at large. It turned out that different constructs of conspiracy thinking interact with each other. The limitations of the study are discussed in the last part of the article.
Personality traits of university students with smartphone addiction
Authors: Kheradmand Ali , Amirlatifi Elham Sadat , Rahbar Zahra 
Published: February 2023

BackgroundNowadays smartphone use is increasing drastically. There is a higher prevalence of smartphone addiction in some specific personality traits.ObjectivesThe goal of this study is to evaluate the association of smartphone addiction with personality traits.MethodsThis study is correlational research. Three hundred and eighty two students of Tehran universities were asked to answer the smartphone addiction scale (SAS) questionnaire and the Persian version of the Cloninger temperament and character inventory (TCI) questionnaire. After the smartphone addiction questionnaire assessment, individuals with smartphone addiction were identified and compared to the non-smartphone addicted group in terms of personality traits.ResultsOne hundred and ten individuals (28.8%) were prone to smartphone addiction. Mean scores of people with smartphone addiction were higher in novelty-seeking, harm avoidance, and self-transcendence than the non-addicts and were statistically significant. In persistence and self-directedness, the mean scores of the smartphone addiction group were lower than the non-addicts and were statistically significant. Individuals with smartphone addiction had higher reward dependence and lower cooperativeness however they were not statistically significant.Conclusionshigh novelty seeking, harm avoidance, self-transcendence, low persistence, and self-directedness which indicate narcissistic personality disorder, could have a role in smartphone addiction.
Association of systemic inflammatory biomarkers with depression risk: Results from National Health and Nutrition Examination Survey 2005–2018 analyses
Authors: Li Xintong , Huan Jiaming , Lin Lin , Hu Yuanlong 
Published: February 2023

Background/AimDepression has become a multiple disease worldwide, and is closely related to the systemic inflammatory response.MethodsBased on the data of the National Health and Nutrition Examination Survey (NHANES), this study included 2,514 depressive and 26,487 non-depressive adults. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) were used to quantify systemic inflammation. The multivariate logistic regression and inverse probability weighting methods were used to analyze the effect size of SII and SIRI on the risk of depression.ResultsAfter adjusting for all confounders, the above associations of SII and SIRI with depression risk remained significant (SII, OR = 1.02, 95% CI = 1.01 to 1.02, p = 0.001; SIRI, OR = 1.06, 95% CI = 1.01 to 1.10, p = 0.016). Each 100-unit increase in SII was associated with a 2% increase in the risk of depression, while each one-unit increase in SIRI was associated with a 6% increase in the risk of depression.ConclusionSystemic inflammatory biomarkers (SII and SIRI) significantly affected the risk of depression. SII or SIRI can serve as a biomarker of anti-inflammation treatment for depression.
Determinants of quality of life of cancer patients at a tertiary care medical city in Riyadh, Saudi Arabia
Authors: AlJaffar Mohammed A. , Enani Sari S. , Almadani Ahmad H. , Albuqami Fay H. , Alsaleh Khalid A. , Alosaimi Fahad D. 
Published: February 2023

BackgroundIncidences of cancer are increasing at an unprecedented rate in Saudi Arabia, making it a major public health concern. Cancer patients are faced with physical, psychological, social, and economic challenges, all of which can impact quality of life (QoL).ObjectivesThis study aims to explore the sociodemographic, psychological, clinical, cultural, and personal factors that could affect the overall QoL of cancer patients.MethodsA total of 276 cancer patients who attended the King Saud University Medical City's oncology outpatient clinics between January 2018 to December 2019 were included. QoL was assessed with the Arabic version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30. Psychosocial factors were assessed with several validated scales.ResultsQoL was poorer among patients who were female (p = 0.001), have visited a psychiatrist (p = 0.028); were taking psychiatric medications (p = 0.022); and had experienced anxiety (p &lt; 0.001), depression (p &lt; 0.001), and distress (p &lt; 0.001). The most used method to self-treat was Islamic Ruqya (spiritual healing; 48.6%), and the most often perceived cause for developing cancer was evil eye or magic (28.6%). Good QoL outcomes were associated with biological treatment (p = 0.034) and satisfaction with health care (p = 0.001). A regression analysis showed that female sex, depression, and dissatisfaction with health care were independently associated with poor QoL.ConclusionsThis study demonstrates that several factors could influence cancer patients' QoL. For instance, female sex, depression, and dissatisfaction with health care were all predictors of poor QoL. Our findings support the need for more programs and interventions to improve the social services for cancer patients, along with the need to explore the social difficulties oncology patients face and address such obstacles through improving social services by expanding the scope of social workers' contribution. Larger multicenter longitudinal studies are warranted to examine the generalizability of the results.
The influence of the trajectory of obesity indicators on the age of pubertal onset and pubertal tempo in girls: A longitudinal study in Chongqing, China
Authors: Xi Xuan , Wu Di , Wu Wenyi , Zhou Yuanke , Zhang Qin , Wang Yujie , Wang Hong , Liu Qin 
Published: February 2023

ObjectiveThis study aims to explore the influence of the trajectory of obesity indicators on the onset age of different pubertal development characteristics and pubertal tempo among girls.MethodsOur longitudinal cohort study recruited 734 girls at baseline in May 2014 from a district of Chongqing and followed them at 6-month intervals. Data were available from baseline to the 14th follow-up with a full record of height, weight, waist circumference (WC), breast development, pubic hair, and armpit hair development, as well as the age of menarche. The Group-Based Trajectory Model (GBTM) was fitted for the optimum trajectory of the body mass index (BMI), WC, and waist-to-height ratio (WHtR) of girls before the pubertal onset and menarche. The ANOVA and multiple linear regression model were conducted to analyze the influence of the trajectory of obesity indicators on the onset age of different pubertal development characteristics and pubertal tempo in girls.ResultsCompared with the healthy (gradual BMI increase) group before pubertal onset, the overweight (persistent BMI increase) group has an earlier onset age of breast development (B: −0.331, 95%CI: −0.515, −0.147) and pubic hair development (B: −0.341, 95%CI: −0.546, −0.136). The B2–B5 development time was shorter in girls in the overweight (persistent BMI increase) group (B: −0.568, 95%CI: −0.831, −0.305) and the obese (rapid BMI increase) group (B: −0.328, 95%CI: −0.524, −0.132). The age of menarche was earlier, and the B2–B5 development time was shorter in girls in the overweight (persistent BMI increase) group than in girls in the healthy (gradual BMI increase) group before menarche (B: −0.276, 95%CI: −0.406, −0.146; B: −0.263, 95%CI: −0.403, −0.123). Girls with high WC (rapid WC increase) before menarche had an earlier age of menarche than normal WC (gradual WC increase) (B: −0.154, 95%CI: −0.301, −0.006), and the B2–B5 development time was shorter in girls in the overweight (gradual WHtR increase) group than in girls in the healthy (persistent WHtR increase) (B: −0.278, 95%CI: −0.529, −0.027) group.ConclusionAmong girls, overweight and obesity (BMI scale) before pubertal onset can not only influence pubertal onset age but also accelerate B2–B5 pubertal tempo. Overweight (BMI scale) and high WC before menarche also have an impact on the age of menarche. Overweight (WHtR scale) before menarche is significantly associated with B2–B5 pubertal tempo.