bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic nomogram for patients with advanced unresectable hepatocellular carcinoma treated with TAE combined with HAIC
Authors: Du Li-xin , Sheng Guo-li , Shi An-da , Li Kang-shuai , Liu Zeng-li , Tang Yong-chang , Liu Yi , Zhang Zong-li 
Published: August 2024

BackgroundHepatocellular carcinoma (HCC) is the most common primary liver cancer and often arises in the context of chronic liver disease, such as hepatitis B or C infection, and cirrhosis. Advanced unresectable HCC (uHCC) presents significant treatment challenges due to its advanced stage and inoperability. One efficient treatment method for advanced uHCC is the use of hepatic arterial infusion chemotherapy (HAIC) combined with transcatheter arterial embolization (TAE).Patients and MethodsIn this study, we conducted a retrospective collection of clinical data, including basic information, radiological data, and blood test parameters, for patients with advanced uHCC who underwent TAE + HAIC treatment from August 2020 to February 2023. A total of 743 cases involving 262 patients were included. Ultimately, the covariates included in the analysis were the Child-Pugh score, extrahepatic metastasis, tumor number, tumor size, and treatment method.ResultsIn the study, we performed univariable and multivariable analysis on 23 clinical factors that were screened by LASSO regression, indicating that the five variables aforementionedly were identified as independent factors influencing patient prognosis. Then we developed a nomogram of the sensitive model and calculated concordance indices of prognostic survival models.ConclusionBased on the uHCC patient cohort, we have developed a prognostic model for OS in patients who received TAE + HAIC treatment. This model can accurately predict OS and has the potential to assist in personalized clinical decision-making.
Effects of Inonotus obliquus on ameliorating podocyte injury in ORG mice through TNF pathway and prediction of active compounds
Authors: Han Zhaodi , Gong Le , Xue Yani , Wang Rui , Liu Jing , Wang Xinyu , Zhao Wenyan , Liao Hui , Li Rongshan 
Published: August 2024

BackgroundPodocyte injury is a common pathologic mechanism in diabetic kidney disease (DKD) and obesity-related glomerulopathy (ORG). Our previous study confirmed that Inonotus obliquus (IO) improved podocyte injury on DKD rats. The current study explored the pharmacological effects, related mechanisms and possible active components of IO on ORG mice.MethodsFirstly, by combining ultra-high performance liquid chromatography tandem mass spectrometry analysis (UPLC-Q-TOF-MS) with network pharmacology to construct the human protein-protein interaction mechanism and enrich the pathway, which led to discover the crucial mechanism of IO against ORG. Then, ORG mice were established by high-fat diet and biochemical assays, histopathology, and Western blot were used to explore the effects of IO on obesity and podocyte injury. Finally, network pharmacology-based findings were confirmed by immunohistochemistry. The compositions of IO absorbed in mice plasma were analyzed by UPLC-Q-TOF-MS and molecular docking was used to predict the possible active compounds.ResultsThe network pharmacology result suggested that IO alleviated the inflammatory response of ORG by modulating TNF signal. The 20-week in vivo experiment confirmed that IO improved glomerular hypertrophy, podocyte injury under electron microscopy, renal nephrin, synaptopodin, TNF-α and IL-6 expressions with Western blotting and immunohistochemical staining. Other indicators of ORG such as body weight, kidney weight, serum total cholesterol, liver triglyceride also improved by IO intervention. The components analysis showed that triterpenoids, including inoterpene F and trametenolic acid, might be the pharmacodynamic basis.ConclusionThe research based on UPLC-Q-TOF-MS analysis, network pharmacology and in vivo experiment suggested that the amelioration of IO on podocyte injury in ORG mice via its modulation on TNF signal. Triterpenoids were predicated as acting components.
Genetic polymorphisms and platinum-induced hematological toxicity: a systematic review
Authors: Zheng Yi , Tang Mimi , Deng Zheng , Cai Pei 
Published: August 2024

BackgroundPlatinum-based chemotherapy bring severe hematological toxicity that can lead to dose reduction or discontinuation of therapy. Genetic variations have been reported to influence the risk and extent of hematological toxicity; however, the results are controversial and a comprehensive overview is lacking. This systematic review aimed to identify genetic biomarkers of platinum-induced hematological toxicity.MethodPubmed, Embase and Web of science database were systematically reviewed for studies that evaluated the association of genetic variants and platinum-related hematological toxicity in tumor patients with no prior history of chemotherapy or radiation, published from inception to the 28th of January 2022. The studies should have specific toxicity scoring system as well as defined toxicity end-point. The quality of reporting was assessed using the Strengthening the Reporting of Genetic Association Studies (STREGA) checklist. Results were summarized using narrative synthesis.Results83 studies were eligible with over 682 single-nucleotide polymorphisms across 110 genes. The results are inconsistent and diverse with methodological issues including insufficient sample size, population stratification, various treatment schedule and toxicity end-point, and inappropriate statistics. 11 SNPs from 10 genes (ABCB1 rs1128503, GSTP1 rs1695, GSTM1 gene deletion, ERCC1 rs11615, ERCC1 rs3212986, ERCC2 rs238406, XPC rs2228001, XPCC1 rs25487, MTHFR rs1801133, MDM2 rs2279744, TP53 rs1042522) had consistent results in more than two independent populations. Among them, GSTP1 rs1695, ERCC1 rs11615, ERCC1 rs3212986, and XRCC1 rs25487 present the most promising results.ConclusionEven though the results are inconsistent and several methodological concerns exist, this systematic review identified several genetic variations that deserve validation in well-defined studies with larger sample size and robust methodology.Systematic Review Registrationhttps://www.crd.york.ac.uk/, identifier CRD42021234164.
Impact of a tailored exercise regimen on physical capacity and plasma proteome profile in post-COVID-19 condition
Authors: Chowdhury Mohammad Mobarak H. , Fontaine Marie-Noelle , Lord Sarah-Eve , Quenum Akouavi Julite Irmine , Limoges Marc-André , Rioux-Perreault Christine , Lucier Jean-François , Cliche Dominic O. , Levesque Dominique , Boisvert François-Michel , Cantin André M. , Allard-Chamard Hugues , Menendez Alfredo , Ilangumaran Subburaj , Piché Alain , Dionne Isabelle J. , Ramanathan Sheela 
Published: August 2024

BackgroundIndividuals affected by the post-covid condition (PCC) show an increased fatigue and the so-called post-exertion malaise (PEM) that led health professionals to advise against exercise although accumulating evidence indicates the contrary. The goal of this study is to determine the impact of a closely monitored 8-week mixed exercise program on physical capacity, symptoms, fatigue, systemic oxidative stress and plasma proteomic profiles of PCC cases.MethodsTwenty-five women and men with PCC were assigned sequentially to exercise (n = 15) and non-exercise (n = 10) groups. Individuals with no PCC served as a control group. The exercise program included cardiovascular and resistance exercises. Physical capacity, physical activity level and the presence of common PCC symptoms were measured before and after the intervention. Fatigue was measured the day following each exercise session. Plasma and PBMC samples were collected at the beginning and end of the training program. Glutathione and deoxyguanosine levels in PBMC and plasma proteomic profiles were evaluated.ResultsBicep Curl (+15% vs 4%; p = 0.040) and Sit-to-Stand test (STS-30 (+31% vs +11%; p = 0.043)) showed improvement in the exercise group when compared to the non-exercise group. An interaction effect was also observed for the level of physical activity (p =0.007) with a positive effect of the program on their daily functioning and without any adverse effects on general or post-effort fatigue. After exercise, glutathione levels in PBMCs increased in women but remained unchanged in men. Discernable changes were observed in the plasma proteomics profile with certain proteins involved in inflammatory response decreasing in the exercise group.ConclusionsSupervised exercise adapted to the level of fatigue and ability is safe and effective in PCC patients in improving their general physical capacity and wellbeing. Systemic molecular markers that accompany physical improvement can be monitored by analyzing plasma proteomics and markers of oxidative stress. Large-scale studies will help identify promising molecular markers to objectively monitor patient improvement.
Enhanced tomato detection in greenhouse environments: a lightweight model based on S-YOLO with high accuracy
Authors: Sun Xiangyang 
Published: August 2024

IntroductionEfficiently and precisely identifying tomatoes amidst intricate surroundings is essential for advancing the automation of tomato harvesting. Current object detection algorithms are slow and have low recognition accuracy for occluded and small tomatoes.MethodsTo enhance the detection of tomatoes in complex environments, a lightweight greenhouse tomato object detection model named S-YOLO is proposed, based on YOLOv8s with several key improvements: (1) A lightweight GSConv_SlimNeck structure tailored for YOLOv8s was innovatively constructed, significantly reducing model parameters to optimize the model neck for lightweight model acquisition. (2) An improved version of the α-SimSPPF structure was designed, effectively enhancing the detection accuracy of tomatoes. (3) An enhanced version of the β-SIoU algorithm was proposed to optimize the training process and improve the accuracy of overlapping tomato recognition. (4) The SE attention module is integrated to enable the model to capture more representative greenhouse tomato features, thereby enhancing detection accuracy.ResultsExperimental results demonstrate that the enhanced S-YOLO model significantly improves detection accuracy, achieves lightweight model design, and exhibits fast detection speeds. Experimental results demonstrate that the S-YOLO model significantly enhances detection accuracy, achieving 96.60% accuracy, 92.46% average precision (mAP), and a detection speed of 74.05 FPS, which are improvements of 5.25%, 2.1%, and 3.49 FPS respectively over the original model. With model parameters at only 9.11M, the S-YOLO outperforms models such as CenterNet, YOLOv3, YOLOv4, YOLOv5m, YOLOv7, and YOLOv8s, effectively addressing the low recognition accuracy of occluded and small tomatoes.DiscussionThe lightweight characteristics of the S-YOLO model make it suitable for the visual system of tomato-picking robots, providing technical support for robot target recognition and harvesting operations in facility environments based on mobile edge computing.
Nexus between organizational citizenship behavior and psychological wellbeing: emotional intelligence as a pathway
Authors: Prasad KDV , Singh Shivoham , Srinivas Ved , Vaidya Rajesh , Dave Krishna Kant 
Published: August 2024

Aim/purposeThe aim of this study is to investigate the nexus between organizational citizenship behavior and psychological wellbeing and assess the moderating and mediating effects of emotional intelligence (EI) on the relationship betwem psychological wellbeing of IT-enabled Sector employees in Hyderabad.Design/methodology/approachTo measure the study variables of organizational citizenship behavior (OCB) and emotional intelligence (EI) on psychological wellbeing (PWB) data were gathered using a questionnaire. The mediating and moderating effects of emotional intelligence on the relationship between organizational citizenship behavior and psychological wellbeing was also assessed. The was reliable as indicated by the Cronbach's alpha coefficient statistic that between 0.79 to 0.91.FindingsThree hundred valid responses were considered for SEM analysis using AMOS, version 28. The model fit indices indicate excellent fit: CMIN/DF 2.788 CFI 0.935, IFI 0.937, TLI 0.921, NFI 0.923, RMSEA 0.054, SRMR 0.077 and PClose 0.092. The SEM analysis revealed that the impact of exogenous variables OCB and EI were statistically significant (p &lt; 0.001) on endogenous variable psychological wellbeing of IT-enabled industry employees. Furthermore, EI partially mediates psychological wellbeing through the OCB of information technology employees. This empirical study also examined the moderating effects of EI on the psychological wellbeing of information technology-enabled employees through OCB. The slope analysis reveals that emotional intelligence strengthens the positive association between OCB and the PWB of IT-enabled sector employees. EI and OCB enhance PWB and employee performance.Research implications/limitationsThe findings of this study have several important implications for organizations in the IT sector and can be used to develop strategies for promoting OCB and EI among employees. The structural relationships between PWB and OCB in the context of hotel employees and reported positive effects of OCB on hotel employees are well documented. The limitations are the data were collected from the Information Technology employees of Hyderabad Metro. There are some subjectivity and cultural issues which were elaborated at the endContribution/OriginalityThis empirical study helps to clarify the relationship between organizational citizenship behavior, psychological wellbeing, and the mediator and moderator variable emotional intelligence. The study also comprehends the available literature and adds value to the existing theoretical knowledge and behavioral studies.JEL classificationM10 M12, M19.
Sociodemographic and clinical characteristics of suspected difficult-to-treat depression
Authors: Murao Masami , Matsumoto Yasuyuki , Kurihara Mariko , Oe Yuki , Nagashima Izumi , Hayasaka Tomonari , Tsuboi Takashi , Watanabe Koichiro , Sakurai Hitoshi 
Published: August 2024

IntroductionDifficult-to-treat depression (DTD) represents a broad spectrum of patients with persistent depression where standard treatment modalities are insufficient, yet specific characteristics of this group remain insufficiently understood. This investigation aims to delineate the sociodemographic and clinical profiles of suspected DTD patients in real-world clinical settings.MethodWe conducted a retrospective analysis of data from patients comprehensively evaluated for suspected DTD at Kyorin University Hospital, Tokyo, Japan, between October 2014 and September 2018. The study participants consisted of individuals with persistent depression unresponsive to conventional antidepressant treatments during the current episode. Diagnoses adhered to the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. Additional evaluations included the Montgomery-Åsberg Depression Rating Scale (MADRS) and other pertinent measures. The analysis focused on comparing demographic and clinical characteristics across diagnosed groups.ResultsThe analysis encompassed 122 patients, with diagnoses of major depressive disorder (MDD) in 41.8%, bipolar disorder (BD) in 28.7%, and subthreshold depression in 29.5%. Notably, high incidences of psychiatric comorbidities were present across all groups, with anxiety disorders exceeding 30% and personality disorders surpassing 50%. The only significant distinction among the three groups was observed in the MADRS scores, with the MDD group exhibiting the highest values (20.9 ± 9.7 vs. 18.6 ± 9.3 vs. 11.3 ± 7.4, p&lt;0.01).ConclusionsThis study sheds light on the intricate nature of suspected DTD, emphasizing the coexistence of MDD, BD, and subthreshold depression within this category. Our findings underscore the necessity for thorough evaluations and tailored treatment approaches for managing suspected DTD.
Network analysis of anxiety and cognitive impairment among mental healthcare workers
Authors: Chen Ruirui , Yan Wei , Shen Qinge , Li Meng , Chen Min , Dong Jicheng , Wang Yaping , Zhao Xianxian , Cui Jian 
Published: August 2024

IntroductionWith the rising demand for medical services and the associated burden, work-related stress and mental health issue have garnered increased attention among healthcare workers. Anxiety, cognitive impairment, and their comorbidities severely impact the physical and mental health as well as the work status of healthcare workers. The network analysis method was used to identify the anxiety and cognitive impairment among mental healthcare workers using the Generalized Anxiety Disorder Scale (GAD-7) and the Perceived Deficit Questionnaire for Depression (PDQ-D). We sought to identify the core symptoms associated with the comorbidity of anxiety and cognitive impairment in mental healthcare workers.MethodsThe study was conducted by Shandong Daizhuang Hospital and Qingdao Mental Health Center in China from September 13, 2022, to October 25, 2022, involving a total of 680 healthcare workers as participants. GAD-7 and PDQ-D were utilized to assess anxiety and cognitive impairment, respectively. Regularized partial correlation network analysis was employed to examing the expected influence and predictability of each item within the network. Statistical analysis and visualization of the network were performed using R software.ResultsThe mean total score for anxiety was 3.25, while the mean total score for cognitive symptoms was 15.89. PDQ17 “Remembering numbers”, PDQ12 “Trouble get started” and PDQ20 “Trouble make decisions” emerged as central symptoms in the anxiety-cognition network. GAD6 “Irritable”, GAD5 “Restlessness” and GAD1 “Nervousness or anxiety” were identified as the most critical bridge symptoms connecting anxiety and cognition. Gender was found to be unrelated to the global strength of the network, edge weight distribution, or individual edge weights.ConclusionUtilizing central and bridge symptoms (i.e., Remembering numbers, Trouble get started, Trouble make decisions, Irritable, Restlessness and Nervousness or anxiety) as primary intervention points may aid in mitigating the serious health consequences of anxiety, cognitive impairment, and comorbidities anxiety and cognitive impairment for mental healthcare workers.
The effect of air pollution quality on lung cancer rates in middle-income and high-income countries: a panel data analysis approach
Authors: Gozlu Mehmet , Senol Osman , Cirakli Umit , Aslan Huseyin , Akbulut Fevzi , Gokkaya Durmus 
Published: August 2024

BackgroundAir pollution is one of the biggest problems in societies today. The intensity of indoor and outdoor air pollutants and the urbanization rate can cause or trigger many different diseases, especially lung cancer. In this context, this study's aim is to reveal the effects of the indoor and outdoor air pollutants, and urbanization rate on the lung cancer cases.MethodsPanel data analysis method is applied in this study. The research includes the period between 1990 and 2019 as a time series and the data type of the variables is annual. The dependent variable in the research model is lung cancer cases per 100,000 people. The independent variables are the level of outdoor air pollution, air pollution level indoor environment and urbanization rate of countries.ResultsIn the modeling developed for the developed country group, it is seen that the variable with the highest level of effect on lung cancer is the outdoor air pollution level.ConclusionsIn parallel with the development of countries, it has been determined that the increase in industrial production wastes, in other words, worsening the air quality, may potentially cause an increase in lung cancer cases. Indoor air quality is also essential for human health; negative changes in this variable may negatively impact individuals' health, especially lung cancer.
Insights into uncovered public health risks. The case of asthma attacks among archival workers: a cross-sectional study
Authors: Yang Liu , Xinting Chen , Aie Zhang , Ruiqi Xu , Moreira Paulo , Mei Dou 
Published: August 2024

ObjectiveTo ascertain the prevalence of asthma attacks among archivists and identify the associated occupational factors in this understudied professional population.MethodsWe conducted a cross-sectional, questionnaire-based study among 1,002 archival workers. A multiple logistic regression was conducted to identify the association between asthma attacks and occupational exposures. The Strobe Protocol was applied.Results999 workers were included in the final analysis with the asthma prevalence of 33.3%. Main factors associated with asthma attacks (OR [95% CI]) were the presence of chemically irritating odors (2.152 [1.532–3.024]), mold odors (1.747 [1.148–2.658]), and insects (1.409[1.041–1.907]). A significant synergistic effect was observed between chemical irritants and mold, the odds ratio was 7.098 (95% CI, 4.752–10.603).ConclusionThere was a high prevalence of asthma attacks among archival workers, an under-studied population. Chemical irritants, molds and insects were associated with their asthma attacks. Notably, this study’s data analysis has revealed a strong synergy (OR = 7.098) between chemical odors and molds in the workplace. While the existing international literature on this specific interaction remains somewhat limited, previous studies have already demonstrated the potential for chemical irritants, such as sulfur dioxide and ozone, to synergistically interact with inhalable allergens, including fungi, molds and dust mites. Consequently, this interaction seems to exacerbate asthma symptoms and perpetuate untreated exposure. Furthermore, in damp and damaged buildings, the presence of microbial components, such as cellular debris or spores released during fungal growth can trigger an inflammatory response, potentially served as a shared pathway for the development of asthma among individuals exposed to these hazardous factors.