bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive overview of how to fade into succinate dehydrogenase dysregulation in cancer cells by naringenin-loaded chitosan nanoparticles
Authors: Ragab Eman M. , Khamis Abeer A. , Gamal Doaa M. El , Mohamed Tarek M. 
Published: May 2024

AbstractMitochondrial respiration complexes play a crucial function. As a result, dysfunction or change is intimately associated with many different diseases, among them cancer. The epigenetic, evolutionary, and metabolic effects of mitochondrial complex IΙ are the primary concerns of our review. Provides novel insight into the vital role of naringenin (NAR) as an intriguing flavonoid phytochemical in cancer treatment. NAR is a significant phytochemical that is a member of the flavanone group of polyphenols and is mostly present in citrus fruits, such as grapefruits, as well as other fruits and vegetables, like tomatoes and cherries, as well as foods produced from medicinal herbs. The evidence that is now available indicates that NAR, an herbal remedy, has significant pharmacological qualities and anti-cancer effects. Through a variety of mechanisms, including the induction of apoptosis, cell cycle arrest, restriction of angiogenesis, and modulation of several signaling pathways, NAR prevents the growth of cancer. However, the hydrophobic and crystalline structure of NAR is primarily responsible for its instability, limited oral bioavailability, and water solubility. Furthermore, there is no targeting and a high rate of breakdown in an acidic environment. These shortcomings are barriers to its efficient medical application. Improvement targeting NAR to mitochondrial complex ΙΙ by loading it on chitosan nanoparticles is a promising strategy.
The dilemma of underestimating freshwater biodiversity: morphological and molecular approaches
Authors: Schoenle Alexandra , Scepanski Dominik , Floß Alexander , Büchel Pascal , Koblitz Ann-Kathrin , Scherwaß Anja , Arndt Hartmut , Waldvogel Ann-Marie 
Published: May 2024

Abstract
Background
Anthropogenic impacts on freshwater habitats are causing a recent biodiversity decline far greater than that documented for most terrestrial ecosystems. However, knowledge and description of freshwater biodiversity is still limited, especially targeting all size classes to uncover the distribution of biodiversity between different trophic levels. We assessed the biodiversity of the Lower Rhine and associated water bodies in the river’s flood plain including the river’s main channel, oxbows and gravel-pit lakes, spanning from the level of protists up to the level of larger invertebrate predators and herbivores organized in size classes (nano-, micro, meio- and macrofauna). Morphological diversity was determined by morphotypes, while the molecular diversity (amplicon sequencing variants, ASVs) was assessed through eDNA samples with metabarcoding targeting the V9 region of the 18S rDNA.

Results
Considering all four investigated size classes, the percentage of shared taxa between both approaches eDNA (ASVs with 80–100% sequence similarity to reference sequences) and morphology (morphotypes), was always below 15% (5.4 ± 3.9%). Even with a more stringent filtering of ASVs (98–100% similarity), the overlap of taxa could only reach up to 43% (18.3 ± 12%). We observed low taxonomic resolution of reference sequences from freshwater organisms in public databases for all size classes, especially for nano-, micro-, and meiofauna, furthermore lacking metainformation if species occur in freshwater, marine or terrestrial ecosystems.

Conclusions
In our study, we provide a combination of morphotype detection and metabarcoding that particularly reveals the diversity in the smaller size classes and furthermore highlights the lack of genetic resources in reference databases for this diversity. Especially for protists (nano- and microfauna), a combination of molecular and morphological approaches is needed to gain the highest possible community resolution. The assessment of freshwater biodiversity needs to account for its sub-structuring in different ecological size classes and across compartments in order to reveal the ecological dimension of diversity and its distribution.
Zinc regulation of chlorophyll fluorescence and carbohydrate metabolism in saline-sodic stressed rice seedlings
Authors: Dang Kun , Mu Jinmeng , Tian Hao , Gao Dapeng , Zhou Hongxiang , Guo Liying , Shao Xiwen , Geng Yanqiu , Zhang Qiang 
Published: May 2024

AbstractSaline-sodic stress can limit the absorption of available zinc in rice, subsequently impacting the normal photosynthesis and carbohydrate metabolism of rice plants. To investigate the impact of exogenous zinc application on photosynthesis and carbohydrate metabolism in rice grown in saline-sodic soil, this study simulated saline-sodic stress conditions using two rice varieties, 'Changbai 9' and 'Tonghe 899', as experimental materials. Rice seedlings at 4 weeks of age underwent various treatments including control (CT), 2 μmol·L−1 zinc treatment alone (Z), 50 mmol·L−1 saline-sodic treatment (S), and 50 mmol·L−1 saline-sodic treatment with 2 μmol·L−1 zinc (Z + S). We utilized JIP-test to analyze the variations in excitation fluorescence and MR820 signal in rice leaves resulting from zinc supplementation under saline-sodic stress, and examined the impact of zinc supplementation on carbohydrate metabolism in both rice leaves and roots under saline-sodic stress. Research shows that zinc increased the chloroplast pigment content, specific energy flow, quantum yield, and performance of active PSII reaction centers (PIABS), as well as the oxidation (VOX) and reduction rate (Vred) of PSI in rice leaves under saline-sodic stress. Additionally, it decreased the relative variable fluorescence (WK and VJ) and quantum energy dissipation yield (φDO) of the rice. Meanwhile, zinc application can reduce the content of soluble sugars and starch in rice leaves and increasing the starch content in the roots. Therefore, the addition of zinc promotes electron and energy transfer in the rice photosystem under saline-sodic stress. It enhances rice carbohydrate metabolism, improving the rice plants’ ability to withstand saline-sodic stress and ultimately promoting rice growth and development.
Neutrophil extracellular trap-associated protein in cerebrospinal fluid for prognosis evaluation of adult bacterial meningitis: a retrospective case-control study
Authors: Han Song , Yang Suge , Chang Zhongzheng , Wang Yun 
Published: May 2024

Abstract
Background and objectives
Central nervous system infections, typified by bacterial meningitis, stand as pivotal emergencies recurrently confronted by neurologists. Timely and precise diagnosis constitutes the cornerstone for efficacious intervention. The present study endeavors to scrutinize the influence of inflammatory protein levels associated with neutrophils in cerebrospinal fluid on the prognosis of central nervous system infectious maladies.

Methods
This retrospective case series study was undertaken at the Neurology Department of the Second Hospital of Shandong University, encompassing patients diagnosed with infectious encephalitis as confirmed by PCR testing and other diagnostic modalities spanning from January 2018 to January 2024. The quantification of MPO and pertinent inflammatory proteins within patients’ cerebrospinal fluid was accomplished through the utilization of ELISA.

Results
We enlisted 25 patients diagnosed with bacterial meningitis, ascertained through PCR testing, and stratified them into two groups: those with favorable prognoses (n = 25) and those with unfavorable prognoses (n = 25). Following assessments for normality and variance, notable disparities in CSF-MPO concentrations emerged between the prognostic categories of bacterial meningitis patients (P < 0.0001). Additionally, scrutiny of demographic data in both favorable and unfavorable prognosis groups unveiled distinctions in CSF-IL-1β, CSF-IL-6, CSF-IL-8, CSF-IL-18, CSF-TNF-α levels, with correlation analyses revealing robust associations with MPO. ROC curve analyses delineated that when CSF-MPO ≥ 16.57 ng/mL, there exists an 83% likelihood of an adverse prognosis for bacterial meningitis. Similarly, when CSF-IL-1β, CSF-IL-6, CSF-IL-8, CSF-IL-18, and CSF-TNF-α levels attain 3.83pg/mL, 123.92pg/mL, 4230.62pg/mL, 35.55pg/mL, and 35.19pg/mL, respectively, there exists an 83% probability of an unfavorable prognosis for bacterial meningitis.

Conclusion
The detection of neutrophil extracellular traps MPO and associated inflammatory protein levels in cerebrospinal fluid samples holds promise in prognosticating bacterial meningitis, thereby assuming paramount significance in the prognostic evaluation of patients afflicted with this condition.
Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada
Authors: Quinlan-Davidson Meaghen , Dixon Mahalia , Chinnery Gina , Hawke Lisa D. , Iyer Srividya , Moxness Katherine , Prebeg Matthew , Thabane Lehana , Henderson J. L. 
Published: May 2024

Abstract
Background
Prior research has showed the importance of providing integrated support services to prevent and reduce youth not in education, employment, or training (NEET) related challenges. There is limited evidence on NEET youth’s perspectives and preferences for employment, education, and training services. The objective of this study was to identify employment, education and training service preferences of NEET youth. We acknowledge the deficit-based lens associated with the term NEET and use ‘upcoming youth’ to refer to this population group.

Methods
Canadian youth (14–29 years) who reported Upcoming status or at-risk of Upcoming status were recruited to the study. We used a discrete choice experiment (DCE) survey, which included ten attributes with three levels each indicating service characteristics. Sawtooth software was used to design and administer the DCE. Participants also provided demographic information and completed the Global Appraisal of Individual Needs–Short Screener. We analyzed the data using hierarchical Bayesian methods to determine service attribute importance and latent class analyses to identify groups of participants with similar service preferences.

Results
A total of n=503 youth participated in the study. 51% of participants were 24–29 years of age; 18.7% identified as having Upcoming status; 41.1% were from rural areas; and 36.0% of youth stated that they met basic needs with a little left. Participants strongly preferred services that promoted life skills, mentorship, basic income, and securing a work or educational placement. Three latent classes were identified and included: (i) job and educational services (38.9%), or services that include career counseling and securing a work or educational placement; (ii) mental health and wellness services (34.9%), or services that offer support for mental health and wellness in the workplace and free mental health and substance use services; and (iii) holistic skills building services (26.1%), or services that endorsed skills for school and job success, and life skills.

Conclusions
This study identified employment, education, and training service preferences among Upcoming youth. The findings indicate a need to create a service model that supports holistic skills building, mental health and wellness, and long-term school and job opportunities.
Assessing trends and burden of occupational exposure to asbestos in the United States: a comprehensive analysis from 1990 to 2019
Authors: Li Xujun , Su Xin , Wei Li , Zhang Junhang , Shi Donglei , Wang Zhaojun 
Published: May 2024

Abstract
Background
This study aimed to analyze the trends and burden of occupational exposure to asbestos in the United States (U.S.) from 1990 to 2019, focusing on mortality rates, geographic distribution, age and sex patterns, and causes of death.

Methods
Data on the number of deaths attributable to occupational exposure to asbestos were collected from 1990 to 2019 in the U.S. Joinpoint analysis was conducted to assess trends over time, and regression models were applied to calculate annual percentage changes (APC) and annual average percentage changes (AAPC). Geographic distribution was examined using mapping techniques. Age and sex patterns were analyzed, and causes of death were identified based on available data.

Results
From 1990 to 2019, the overall number of deaths due to occupational exposure to asbestos in the U.S. increased by 20.2%. However, age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALYs) rates (ASDR) exhibited a decline over the same period. Geographic analysis revealed differences in the number of deaths across states in 2019, with California reporting the highest number of fatalities. Age-specific mortality and DALYs showed an increase with age, peaking in older age groups. Tracheal, bronchus, and lung cancer were the leading causes of death attributed to asbestos exposure, with increasing trends observed over the past five years.

Conclusion
The study highlights significant trends and burden in occupational exposure to asbestos in the U.S., including overall increases in mortality rates, declining ASMR and ASDR, geographic disparities, age and sex patterns, and shifts in causes of death. These findings underscore the importance of continued monitoring and preventive measures to mitigate the burden of asbestos-related diseases.
Measuring myofascial shear strain in chronic shoulder pain with ultrasound shear strain imaging: a case report
Authors: Zhao Lingyi , Huang Jonny , Bell Muyinatu A. Lediju , Raghavan Preeti 
Published: May 2024

Abstract
Background
Dysfunctional gliding of deep fascia and muscle layers forms the basis of myofascial pain and dysfunction, which can cause chronic shoulder pain. Ultrasound shear strain imaging may offer a non-invasive tool to quantitatively evaluate the extent of muscular dysfunctional gliding and its correlation with pain. This case study is the first to use ultrasound shear strain imaging to report the shear strain between the pectoralis major and minor muscles in shoulders with and without chronic pain.

Case presentation
The shear strain between the pectoralis major and minor muscles during shoulder rotation in a volunteer with chronic shoulder pain was measured with ultrasound shear strain imaging. The results show that the mean ± standard deviation shear strain was 0.40 ± 0.09 on the affected side, compared to 1.09 ± 0.18 on the unaffected side (p<0.05). The results suggest that myofascial dysfunction may cause the muscles to adhere together thereby reducing shear strain on the affected side.

Conclusion
Our findings elucidate a potential pathophysiology of myofascial dysfunction in chronic shoulder pain and reveal the potential utility of ultrasound imaging to provide a useful biomarker for shear strain evaluation between the pectoralis major and minor muscles.
Laser hemorrhoidoplasty vs. rubber band ligation: a randomized trial comparing 2 mini-invasive treatment for grade II hemorrhoids
Authors: Jin Lei , Qin Kaijian , Wu Renjie , Yang Haojie , Cui Can , Wang Zhenyi , Wu Jiong 
Published: May 2024

Abstract
Purpose
As a minimally invasive procedure, laser hemorrhoidoplasty (LHP) can not only relieve the symptoms of hemorrhoids, but also protect the anal cushion structure. This study aimed to investigate the clinical efficacy of LHP in the treatment of grade II hemorrhoids.

Methods
A total of 70 patients with grade II hemorrhoids were randomly assigned to receive LHP or Rubber Band Ligation (RBL) (n = 35 per group) in 2019 from a single center. The postoperative pain, bleeding, feeling of anal distension(local falling, swelling, foreign body sensation, stool) and postoperative recurrence rate were compared between the two groups.

Results
The postoperative pain, bleeding, and feeling of anal distension in the LHP group were improved significantly as compared with the RBL group within 2 weeks after surgery (P < 0.01). Both methods can relieve the symptoms of grade II hemorrhoids. There was no difference in the recurrence rate between the two groups at 1 year after surgery (P > 0.05). The patients in LHP group took less time to return to normal activities (P < 0.001).

Conclusions
As a minimally invasive treatment, LHP is easy and not traumatic and results in mild postoperative pain and few complications. It is an ideal choice for grade II hemorrhoids.
Dentists’ perspectives, practices, and factors associated with informed consent process for fixed prosthodontic treatment: a cross-sectional study of kampala metropolitan area, Uganda
Authors: Ndagire Barbara , Barugahare John , Naidoo Sudeshni , Nankabirwa Joaniter , Nakayaga Joan , Rwenyonyi Charles Mugisha 
Published: May 2024

Abstract
Background
Dentists have a legal and ethical obligation to obtain informed consent from patients before carrying out treatment. In Uganda, the process of obtaining informed consent in dentistry is not well documented. The aim of the present study was to determine dentists’ perspectives and practices regarding informed consent to fixed prosthodontic treatment (FPT) in Kampala Metropolitan, Uganda.

Methods
A quantitative cross-sectional study was conducted among 153 dentists from July to September 2023. Data were collected using a semi-structured self-administered questionnaire that included both closed- and open-ended questions. The questionnaire included items on participants’ sociodemographic information, perspectives, and practices about informed consent for FPT. Perspectives were rated using ten items on a five-point Likert scale. The minimum possible total score was 10, and the maximum possible score was 50. Descriptive statistics and Poisson regression were used to summarize and analyze the quantitative data, and the significance level was set at p < 0.05. Open-ended items were analyzed using content analysis.

Results
The majority (83.9%) of the participants were general dentists with working experience ranging from 1 to 38 years and a median of 8 years. The majority were familiar with the concept of informed consent and had positive perspectives regarding its use for FPT. The mean score for perspectives was 39.27 (SD, 5.42). However, there were variations in the practices of the dentists. More than three-quarters (87.6%) reported that they always obtained the patient’s informed consent before FPT. Less than a third (29.4%) obtained written consent for FPT. About half of the dentists provided information regarding the procedure, benefits, and risks of treatment during the consent process. Bivariate analysis showed that the use of written consent for FPT was significantly (p < 0.05) associated with having a work experience of more than 10 years and having had training involving informed consent after undergraduate studies.

Conclusion
The present study provides baseline data regarding perspectives and practices regarding informed consent for FPT among dentists in Uganda. It is recommended that regular training courses be developed to highlight the importance of improved informed consent practices for patient protection and to instruct dentists about obtaining valid informed consent. There is a need for future research to streamline guidelines for the informed consent process in dental care in Uganda.
Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
Authors: Ehtemam Houriyeh , Sadeghi Esfahlani Shabnam , Sanaei Alireza , Ghaemi Mohammad Mehdi , Hajesmaeel-Gohari Sadrieh , Rahimisadegh Rohaneh , Bahaadinbeigy Kambiz , Ghasemian Fahimeh , Shirvani Hassan 
Published: May 2024

AbstractObjectiveSuicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the prediction of suicide attempts.MethodA systematic review was performed using PubMed, Scopus, Web of Science and SID databases. We aim to evaluate the performance of ML algorithms and summarize their effects, gather relevant and reliable information to synthesize existing evidence, identify knowledge gaps, and provide a comprehensive list of the suicide risk factors using mixed method approach.ResultsForty-one studies published between 2011 and 2022, which matched inclusion criteria, were chosen as suitable. We included studies aimed at predicting the suicide risk by machine learning algorithms except natural language processing (NLP) and image processing.The neural network (NN) algorithm exhibited the lowest accuracy at 0.70, whereas the random forest demonstrated the highest accuracy, reaching 0.94. The study assessed the COX and random forest models and observed a minimum area under the curve (AUC) value of 0.54. In contrast, the XGBoost classifier yielded the highest AUC value, reaching 0.97. These specific AUC values emphasize the algorithm-specific performance in capturing the trade-off between sensitivity and specificity for suicide risk prediction.Furthermore, our investigation identified several common suicide risk factors, including age, gender, substance abuse, depression, anxiety, alcohol consumption, marital status, income, education, and occupation. This comprehensive analysis contributes valuable insights into the multifaceted nature of suicide risk, providing a foundation for targeted preventive strategies and intervention efforts.ConclusionsThe effectiveness of ML algorithms and their application in predicting suicide risk has been controversial. There is a need for more studies on these algorithms in clinical settings, and the related ethical concerns require further clarification.
Federated-learning-based prognosis assessment model for acute pulmonary thromboembolism
Authors: Zhou Jun , Wang Xin , Li Yiyao , Yang Yuqing , Shi Juhong 
Published: May 2024

Abstract
Background
Acute pulmonary thromboembolism (PTE) is a common cardiovascular disease and recognizing low prognosis risk patients with PTE accurately is significant for clinical treatment. This study evaluated the value of federated learning (FL) technology in PTE prognosis risk assessment while ensuring the security of clinical data.

Methods
A retrospective dataset consisted of PTE patients from 12 hospitals were collected, and 19 physical indicators of patients were included to train the FL-based prognosis assessment model to predict the 30-day death event.
Firstly, multiple machine learning methods based on FL were compared to choose the superior model. And then performance of models trained on the independent (IID) and non-independent identical distributed(Non-IID) datasets was calculated and they were tested further on Real-world data. Besides, the optimal model was compared with pulmonary embolism severity index (PESI), simplified PESI (sPESI), Peking Union Medical College Hospital (PUMCH).

Results
The area under the receiver operating characteristic curve (AUC) of logistic regression(0.842) outperformed convolutional neural network (0.819) and multi layer perceptron (0.784). Under IID, AUC of model trained using FL(Fed) on the training, validation and test sets was 0.852 ± 0.002, 0.867 ± 0.012 and 0.829 ± 0.004. Under Real-world, AUC of Fed was 0.855 ± 0.005, 0.882 ± 0.003 and 0.835 ± 0.005. Under IID and Real-world, AUC of Fed surpassed centralization model(NonFed) (0.847 ± 0.001, 0.841 ± 0.001 and 0.811 ± 0.001). Under Non-IID, although AUC of Fed (0.846 ± 0.047) outperformed NonFed (0.841 ± 0.001) on validation set, it (0.821 ± 0.016 and 0.799 ± 0.031) slightly lagged behind NonFed (0.847 ± 0.001 and 0.811 ± 0.001) on the training and test sets.
In practice, AUC of Fed (0.853, 0.884 and 0.842) outshone PESI (0.812, 0.789 and 0.791), sPESI (0.817, 0.770 and 0.786) and PUMCH(0.848, 0.814 and 0.832) on the training, validation and test sets. Additionally, Fed (0.842) exhibited higher AUC values across test sets compared to those trained directly on the clients (0.758, 0.801, 0.783, 0.741, 0.788).

Conclusions
In this study, the FL based machine learning model demonstrated commendable efficacy on PTE prognostic risk prediction, rendering it well-suited for deployment in hospitals.