bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wild edible vegetables of ethnic communities of Mizoram (Northeast India): an ethnobotanical study in thrust of marketing potential
Authors: Lalmuanpuii Rosie , Zodinpuii Betsy , Bohia Beirachhitha , Zothanpuia  , Lalbiaknunga J. , Singh Prashant Kumar 
Published: May 2024

AbstractBackgroundAssessment of wild edible vegetables (WEVs) from the ethnobotanical approach is a significant key to understanding indigenous knowledge systems. The available literature has revealed a tremendous decline in knowledge of WEVs over the last few decades. The main purpose of this study was to document and analyse the traditional knowledge of WEVs among the two major ethnic groups of Mizoram regarding their use and the diversity associated with the importance of traditional medicines. Secondly, a market survey will be conducted to determine the status of available WEVs.MethodsThis study conducted an ethnobotanical survey among 72 informants through semi-structured interviews and questionnaires besides direct field observations. The documented data were quantitatively analysed using various ethnobotanical indices, including Informant’s consensus factor (ICF), Fidelity level value (Fl), and Direct matrix ranking (DMR). A marketing survey was conducted in the Bara Bazar, Mizoram's most prominent local market. A total of 38 vendor informants were interviewed to observe and collect the price of commonly sold WEVs.ResultsA total of 70 WEVs, distributed in 58 genera under 36 families, were documented and identified. Of these, 33 WEVs were of medicinal importance. Leafy vegetables were documented as the most frequently consumed parts (55.71%). The majority (44.29%) of the plants documented were consumed in fried form. The highest level of agreement among informants for food used categories was observed for plants combined with dry fish (ICF = 1). The Informant’s consensus factor (ICF) of disease categories ranges from 0.75 to 1, with the highest being reported for convulsion (ICF = 1), sleep inducer (ICF = 1), and antiseptic (ICF = 1).Picria fel-terraewas the most preferred plant for hypertension treatment (100% FL). Direct matrix ranking (DMR) indicated thatDysoxylum excelsumwas highly utilized by the inhabitant for multipurpose species (DMR = 64). Jaccard similarity index (JI) between the two ethnic groups was revealed at 1.26. Forty-seven WEVs were found to be commercialized in the Bara Bazar market, Aizawl, with a price range from 0.1 to 2.4 USD.Ensete superbumwas reported as near threatened per the IUCN Red List of Threatened Species.ConclusionThis work highlighted the importance and rich diversity of WEVs in Mizoram, which are presently used among different age groups for food and medicine. Informants have good knowledge of WEVs, which was shared to a great extent among the inhabitants; this legacy of traditional culture must be conserved. This study further suggests a priority setting for conserving multipurpose WEVs in human-inhabited sites, investigating the recorded species' nutritional properties and pharmacological activities.
From data to insights: the application and challenges of knowledge graphs in intelligent audit
Authors: Zhong Hao , Yang Dong , Shi Shengdong , Wei Lai , Wang Yanyan 
Published: May 2024

AbstractIn recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditing methods, there are inefficiencies in data integration and analysis, making it difficult to achieve deep correlation analysis and risk identification among data. Additionally, decision support systems in the auditing process may face issues of insufficient information interpretability and limited predictive capability, thus affecting the quality of auditing and the scientificity of decision-making. However, knowledge graphs, by constructing rich networks of entity relationships, provide deep knowledge support for areas such as intelligent search, recommendation systems, and semantic understanding, significantly improving the accuracy and efficiency of information processing. This presents new opportunities to address the challenges of traditional auditing techniques. In this paper, we investigate the integration of intelligent auditing and knowledge graphs, focusing on the application of knowledge graph technology in auditing work for power engineering projects. We particularly emphasize mainstream key technologies of knowledge graphs, such as data extraction, knowledge fusion, and knowledge graph reasoning. We also introduce the application of knowledge graph technology in intelligent auditing, such as improving auditing efficiency and identifying auditing risks. Furthermore, considering the environment of cloud-edge collaboration to reduce computing latency, knowledge graphs can also play an important role in intelligent auditing. By integrating knowledge graph technology with cloud-edge collaboration, distributed computing and data processing can be achieved, reducing computing latency and improving the response speed and efficiency of intelligent auditing systems. Finally, we summarize the current research status, outlining the challenges faced by knowledge graph technology in the field of intelligent auditing, such as scalability and security. At the same time, we elaborate on the future development trends and opportunities of knowledge graphs in intelligent auditing.
EASIX is an effective marker in predicting mortality of traumatic brain injury patients
Authors: Wang Ruoran , Jiang Yuelin , He Min , Xu Jianguo 
Published: May 2024

Abstract
Background
The Endothelial Activation and Stress Index (EASIX) is a novel marker of endothelial injury and correlates with survival of various patients. The endothelial dysfunction plays an important role on the pathophysiological process of traumatic brain injury (TBI). This study was designed to explore the prognostic value of EASIX on TBI patients.

Methods
358 TBI patients hospitalized in the West China hospital between October 2018 and October 2022 were enrolled for this study. The EASIX was calculated based on the formula: lactate dehydrogenase (U/L) × creatinine (mg/dL)/platelets (109 cells/L). The univariate and multivariate logistic regression with forward method was performed to explore the association between EASIX and mortality. A prognostic model was developed combining significant risk factors in the multivariate logistic regression. The receiver operating characteristic (ROC) curve was used to compare the predictive accuracy of the EASIX and the developed model.

Results
The 30-day mortality of enrolled 358 TBI patients was 51.1%. Non-survivors had higher EASIX than survivors (p < 0.001). The multivariate logistic regression confirmed seven risk factors for mortality of TBI including injury mechanism (p = 0.010), GCS (p < 0.001), glucose (p < 0.001), EASIX (p = 0.017), subdural hematoma (p = 0.012), coagulopathy (p = 0.001). The AUC of EASIX, SOFA, GCS was 0.747, 0.748 and 0.774, respectively. The AUC of developed predictive model was 0.874 with the sensitivity of 0.913 and specificity of 0.686.

Conclusions
The EASIX is a reliable marker for predicting mortality of TBI patients. The predictive model incorporating EASIX is helpful for clinicians to evaluate the mortality risk of TBI patients.
Coping strategies of school-going adolescents during the COVID-19 pandemic in the climate vulnerable Manafwa watershed, Uganda
Authors: Batte Charles , Nuwasiima Shivan , Semulimi Andrew Weil , Apio Pamela Okwir , Mutebi Ronald Kasoma , Mwesigwa Martin Menya , Twinamasiko Nelson , Siddharthan Trishul , Mukisa John , Mukunya David , Abaatyo Joan , Nalugya Joyce Sserunjogi 
Published: May 2024

Abstract
Background
The COVID-19 pandemic disrupted daily life, economies, and health, prompting strict government measures, including nationwide lockdowns and school closures in Uganda, resulting in significant academic setbacks for adolescents. The coping strategies employed by school-going adolescents in Uganda amidst the COVID-19 pandemic remain inadequately understood. This study aimed to assess the coping strategies adopted by school-going adolescents (early, middle and late adolescents) in the Manafwa watershed, recognized as one of Uganda’s most vulnerable regions, during the COVID-19 pandemic.

Methods
A cross sectional study design was conducted from I5th May, 2023 to 30th June, 2023 on 762 school going adolescents from government-aided secondary schools within the Manafwa watershed area. The adolescent version of the KidCope tool was used to evaluate adolescents’ coping strategies. Factor analysis identified correlations among adolescents’ coping strategies. Independent Samples t-Test and One-Way Variance of Analysis (ANOVA) was used for comparing the mean score differences of the coping strategies among the gender and adolescents’ stages respectively.

Results
Majority (n = 141, 36.2%) of the participants employed adaptive coping followed by negative-emotion coping (n = 127, 32.6%) and avoidant coping (n = 122, 31.3%). Females employed statistically higher resignation as a coping strategy compared to males, (mean of 1.2 vs. 1.0, respectively; P = 0.026). A higher proportion (n = 88, 69.3%) of middle age adolescents employed negative-emotion regulation (P-value = 0.040). However, those in early adolescence significantly utilized distraction as a coping strategy more than those in middle adolescence (mean difference = 0.36, p = 0.013).

Conclusion
During the pandemic, majority of school-going adolescents employed adaptive coping mechanisms, including positive emotional regulation and social support. However, compared to males, females employed resignation more frequently. Moreover, middle-aged adolescents had a greater propensity for negative emotion copying. Findings from this study contribute valuable information for the development of targeted interventions and support mechanisms for adolescents facing unprecedented challenges.
The impact of positive psychology counseling on sexual and marital satisfaction and anxiety among reproductive-aged women during the COVID-19 pandemic: a randomized controlled clinical trial
Authors: Bafrani Mahdie Arab , Nourizadeh Roghaiyeh , Hakimi Sevil , Mortazavi Seyed Alireza , Mehrabi Esmat 
Published: May 2024

Abstract
Background
Sexual and marital satisfaction is considered one of the important factors in happiness and life satisfaction of couples. COVID-19 pandemic results in psychological effects, such as increased anxiety levels which can affect sexual and marital satisfaction. This study aimed to investigate the impact of positive psychology on women’s sexual and marital satisfaction.

Methods
A randomized controlled trial was conducted on 72 married women of reproductive age in Tabriz, Iran between February 2021 and May 2022. The participants were randomly divided into the intervention and control groups. There was no significant difference between the control and intervention groups in terms of the socio-demographic characteristics (p < 0.05). The mean age of the participants in the intervention and control groups was 31.8 ± 6.92 and 30.97 ± 5.09 years, respectively. The intervention group attended seven 60–90 min counseling sessions at weekly intervals. The Spielberger anxiety, sexual satisfaction and marital satisfaction questionnaires were completed before and four weeks after the intervention.

Results
The results of this study indicated that after counseling, the average overall score of marital satisfaction [MD: 15.46, 95% CI: 7.47 to 23.41, p = 0.034] and sexual satisfaction [MD: 7.83, 95% CI: 6.25 to 9.41, p = 0.001] significantly increased in the intervention group compared to the control group. Also, the mean score of state anxiety [MD: -2.50, 95% CI: -4.19 to -0.80, p = 0.001] and trait anxiety [MD: -1.03, 95% CI: -2.46 to -0.09, p = 0.032] significantly decreased after counseling in the intervention group compared to the control group.

Conclusions
Using counseling based on a positive psychology approach can improve anxiety, sexual and marital satisfaction, and anxiety of women of reproductive age during the COVID-19 pandemic. However, further randomized clinical trials are needed before making a definitive conclusion.

Trial registration
Iranian Registry of Clinical Trials (IRCT): IRCT20171007036615N8. Date of registration: 11/28/21. Date of first registration: 11/28/21. URL: https://www.irct.ir/user/trial/58680/view; Date of recruitment start date: 12/01/21.
Using 2% PVPI topical solution for serial intravitreous injections and ocular surface findings: a case control study
Authors: Casemiro José Henrique , Oguido Ana Paula Miyagusko Taba , Casella Antonio Marcelo Barbante 
Published: May 2024

Abstract
Background
The use of povidone-iodine for ocular surface asepsis is widespread for intravitreal injections. They became frequent procedures, leading to serial exposure of patients’ eyes to iodinated solutions. In this study, we investigate the changes in the ocular surface in patients submitted to repeated use of povidine for intravitreal injection of anti-VEGF asepsis, analyzing Ocular Surface Disease Index, non-invasive break up time, blinking quality, lipid layer, meniscus height and osmolarity.

Methods
This case-control study included 34 individuals (68 eyes), 14 males, 20 females aged 48 to 94. Inclusion criteria were individuals who received application of 2% povidone-iodine eyedrops for intravitreal injections treatment with the non-treated contralateral eye used as control. Ocular surface examinations were performed at a single occasion. A pre-intravitreal injection asepsis protocol with povidone-iodine was applied. All statistical analysis was performed using the STATA® 18.0 Software and a p-value = 0.05 was considered as the statistical significance value in all tests.

Results
The median number of IVIs in treated eyes was 12 (range 6–20). The results in treated eyes compared with untreated eyes were respectively : median OSDI 16 (IQR 6–39) and 12.5 (IQR 8–39) (p = 0.380); mean NIBUT 10.30 (SD ± 2.62) and 10.78 (SD ± 2.92) ( s, p = 0.476); median blinking quality 100 (IQR 100) and 100 (IQR 100 ) (%, p = 0.188); median lipid layer 87 (IQR 77–90) and 86 (IQR 74–100) (nm, p = 0.451); median meniscus height 0.22 (IQR 0.19-0,31) and 0.24 (IQR 0.20–0.27) (mm, p = 0.862), median Meibomian gland atrophy 33 (IQR 24–45) and 31.5 (IQR 25–39) (%, p = 0.524); and mean osmolarity 306.6 (SD ± 21.13) and 313.8 (SD ± 29) (mOsm, p = 0.297). There was no statistically significant relationship between the repetitive use of 2% iodinated solution and signs or symptoms compatible with dry eye syndrome in this group of patients.

Conclusions
The findings suggest that 2% povidone iodine is a safe and efficacious agent for ocular surface antisepsis during intravitreal injections, not leading to substantial ocular surface modifications. This conclusion supports the continued use of povidone iodine in routine ophthalmic procedures without increased risk of inducing dry eye syndrome.
Automatic grid topology detection method based on Lasso algorithm and t-SNE algorithm
Authors: Huang Sheng , Que Huakun , Zhang Yingnan , Xie Tenglong , Peng Jie 
Published: May 2024

AbstractFor a long time, the low-voltage distribution network has the problems of untimely management and complex and frequently changing lines, which makes the problem of missing grid topology information increasingly serious. This study proposes an automatic grid topology detection model based on lasso algorithm and t-distributed random neighbor embedding algorithm. The model identifies the household-variable relationship through the lasso algorithm, and then identifies the grid topology of the station area through the t-distributed random neighbor embedding algorithm model. The experimental results indicated that the lasso algorithm, the constant least squares algorithm and the ridge regression algorithm had accuracies of 0.88, 0.80, and 0.71 and loss function values of 0.14, 0.20, and 0.25 for dataset sizes up to 500. Comparing the time spent on identifying household changes in different regions, in Region 1, the training time for the Lasso algorithm, the Constant Least Squares algorithm, and the Ridge Regression algorithm is 2.8 s, 3.0 s, and 3.1 s, respectively. The training time in region 2 is 2.4s, 3.6s, and 3.4s, respectively. The training time in region 3 is 7.7 s, 1.9 s, and 2.8 s, respectively. The training time in region 4 is 3.1 s, 3.6 s, and 3.3 s, respectively. The findings demonstrate that the suggested algorithmic model performs better than the other and can identify the structure of LV distribution networks.
Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models
Authors: Xu Wenxin , Gu Bowen , Lotter William E. , Kehl Kenneth L. 
Published: May 2024

PURPOSE Eastern Cooperative Oncology Group (ECOG) performance status (PS) is a key clinical variable for cancer treatment and research, but it is usually only recorded in unstructured form in the electronic health record. We investigated whether natural language processing (NLP) models can impute ECOG PS using unstructured note text. MATERIALS AND METHODS Medical oncology notes were identified from all patients with cancer at our center from 1997 to 2023 and divided at the patient level into training (approximately 80%), tuning/validation (approximately 10%), and test (approximately 10%) sets. Regular expressions were used to extract explicitly documented PS. Extracted PS labels were used to train NLP models to impute ECOG PS (0-1 v 2-4) from the remainder of the notes (with regular expression–extracted PS documentation removed). We assessed associations between imputed PS and overall survival (OS). RESULTS ECOG PS was extracted using regular expressions from 495,862 notes, corresponding to 79,698 patients. A Transformer-based Longformer model imputed PS with high discrimination (test set area under the receiver operating characteristic curve 0.95, area under the precision-recall curve 0.73). Imputed poor PS was associated with worse OS, including among notes with no explicit documentation of PS detected (OS hazard ratio, 11.9; 95% CI, 11.1 to 12.8). CONCLUSION NLP models can be used to impute performance status from unstructured oncologist notes at scale. This may aid the annotation of oncology data sets for clinical outcomes research and cancer care delivery.
Telisotuzumab vedotin monotherapy in patients with previously treated c-Met–overexpressing non-squamous EGFR wildtype advanced NSCLC: Primary analysis of the LUMINOSITY trial.
Authors: Camidge David Ross , Bar Jair , Horinouchi Hidehito , Goldman Jonathan W. , Moiseenko Fedor Vladimirovich , Filippova Elena , Cicin Irfan , Ciuleanu Tudor Eliade , Daaboul Nathalie , Liu Chunling , Bradbury Penelope Ann , Moskovitz Mor , Katgi Nuran , Tomasini Pascale , Zer Alona , Looman Jim , Ratajczak Christine , Li Martha , Xia Summer , Lu Shun 
Published: May 2024

103 Background: Approximately 25% of patients (pts) with non-squamous (NSQ) EGFR wildtype (WT) NSCLC have c-Met protein overexpression (Ansell et al. 2022 CRUK), which is associated with a poor prognosis (Liang, Wang. Onco Targets Ther. 2020). Telisotuzumab vedotin (Teliso-V) is a c-Met–directed antibody-drug conjugate comprising the mAb telisotuzumab and the microtubule polymerization inhibitor monomethyl auristatin E. The phase 2 LUMINOSITY trial (NCT03539536) aimed to identify the c-Met–overexpressing (OE) NSCLC population best suited to Teliso-V and expand selected group(s) for further evaluation of efficacy. We report on the primary analysis for pts with c-Met OE NSQ EGFRWT NSCLC. Methods: This phase 2, non-randomized, multicenter study enrolled pts with locally advanced/metastatic c-Met OE NSCLC, ≤2 prior lines of therapy (chemotherapy [CTx] + immunotherapy [IO] or sequential CTx + IO), and ≤1 line of chemotherapy. c-Met OE (Ventana MET [SP44] clinical trial assay [CTA]) was defined as ≥25% tumor cells with 3+ staining (high: ≥50% 3+; intermediate [int]: 25 to <50% 3+). Teliso-V was dosed at 1.9 mg/kg IV Q2W. Primary endpoint was overall response rate (ORR) by independent central review per RECIST v1.1. Results: 172 pts with NSQ EGFR WT NSCLC received ≥1 dose of Teliso-V and comprised the safety population; 161 (c-Met high, 78; c-Met int, 83) were included in baseline and efficacy analyses. Median age was 64 yrs (range 33–83), 69% were male, and 70% had ECOG PS 1. 97.5% had prior platinum and 82.0% had prior immune checkpoint inhibitor. Efficacy data are presented in Table below. ORR was 34.6% (c-Met high), 22.9% (c-Met int), 28.6% (overall). Median DOR was 9.0 mo (c-Met high), 7.2 mo (c-Met int), 8.3 mo (overall). Most common any-grade treatment-related AEs (TRAEs) were peripheral sensory neuropathy (30%), peripheral edema (16%), and fatigue (14%). Grade 5 TRAEs occurred in 2 pts (interstitial lung disease, respiratory failure). Conclusions: Teliso-V has shown compelling and durable responses in pts with c-Met OE NSQ EGFR WT NSCLC, especially in pts with c-Met high. Teliso-V had an acceptable safety profile that was clinically manageable, which is consistent with previous data. Clinical trial information: NCT03539536 . [Table: see text]
CCNE1 amplification as marker of poor prognosis and novel therapeutic target in advanced breast cancer.
Authors: Marra Antonio , Selenica Pier , Zhu Yingjie , Safonov Anton , Razavi Pedram , Roulston Anne , Koehler Maria , Curigliano Giuseppe , Ross Dara S. , Weigelt Britta , Reis-Filho Jorge , Schram Alison M. , Chandarlapaty Sarat , Rosen Ezra 
Published: May 2024

1040 Background: Cyclin E1 (CCNE1) overexpression or gene amplification is linked to dismal outcomes in various tumors, including breast cancer (BC). Recent studies suggest that CCNE1 amplification is a potential target for new synthetic lethality-based treatments, including CDK2-selective and PKMYT1 inhibition. This study explores the clinical and genomic characteristics of CCNE1-amplified BCs. Methods: We analyzed genomic and clinical data from consecutive BCs that underwent clinical tumor-normal targeted panel sequencing (MSK-IMPACT) between April 2014 and December 2021. Allele-specific copy number, including CCNE1 amplification, and fraction genome altered (FGA) were calculated by FACETS. Mutual exclusivity and co-occurrence analyses were performed using CoMEt. Benjamini–Hochberg method for multiple testing correction (q) was applied. Real-world progression-free survival (rwPFS) was assessed by the Kaplan Meier method and Cox models, focusing on patients with available pre-treatment samples. Results: Out of 3,753 BCs, 125 (3.3%) had CCNE1 amplification. A higher occurrence of CCNE1 amplification was noted in post-treatment (n=2,368) compared to treatment-naïve tumors (n=1,385; 4% vs 2.4%, p=0.007). CCNE1 amplification was less common in hormone receptor (HR)+/HER2- BCs (2%) compared to HER2+ (7.6%) and triple-negative (7.2%) tumors (p<0.001). BCs with CCNE1 amplification showed higher median FGA, indicating increased genomic instability. In primary BC, TP53 alterations were more frequent in CCNE1-amplified tumors (q<0.001), while CDH1 alterations were mutually exclusive (q<0.001) suggesting that lobular BCs rarely harbor CCNE1 amplification. Similar trends were seen in post-treatment samples. CCNE1 amplification detected at baseline was linked to shorter median rwPFS in HR+/HER2- metastatic BCs treated with CDK4/6 inhibitors plus endocrine therapy (8.8 vs 15.2 months in CCNE1-amplified [n=9] vs CCNE1-non amplified [n=402]; hazard ratio [HR] 2.82, 95% CI 1.38-5.75), and in HER2+ metastatic BCs treated with first-line THP regimen (7.3 vs 20.8 months in CCNE1-amplified [n=5] vs CCNE1-non amplified [n=106]; HR 3.1, 95% CI 1.24-7.87). In a CCNE1-amplified triple-negative cell model (HCC1569), treatment with the PKMYT1 inhibitor RP-6306 significantly reduced tumor growth. Conclusions: CCNE1 amplification in BCs is associated with greater genomic instability and characterizes a group of metastatic BCs with poor response to standard of care therapies. Novel therapies targeting CCNE1-amplified tumors are under evaluation in preclinical and clinical studies.