bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cadmium-induced DAG-PKC/IP3-Ca2+ double signaling pathway and cell injury in gill of freshwater crabs Sinopotamon henanense
Authors: Wang Jinxiang , Wang Qian , Liu Jianxia , Wang Lan , Luo Haibo , Yu Lijuan 
Published: February 2024

Abstract
Cadmium (Cd) which is an extremely toxic heavy metal and widespread in the environment has been associated with numerous organs damage and even death. To evaluate the signaling pathway and the toxicity induced by Cd2+ in aquatic organisms, freshwater crabs Sinopotamon henanense were exposed to Cd2+ (0, 14.5, 29 and 58 mg/L) for 4 d. The results showed that Cd2+ induced the increase of diacylglycerol (DAG) and inositol-1,4,5-triphosphate (IP3), the rapid change of Ca2+ concentration in the cytoplasm and activation of protein kinase C (PKC) in the gill of crab. Also, Cd2+ raised the expressions of 6 genes relating with protein detoxification and folding, including cytochrome P450 (CYP450), BAG regulator 3 (BAG3), protein disulfide isomerase (PDI) and 3 genes encoding heat shock proteins (Hsp21, Hsp27 and Hsp70). And, it was observed that Cd2+ exposure aggravated filament swelling and raised the number of dead epidermal cell in gill. Meanwhile, Cd2+ exposure degraded DNA which was accompanied by a obvious decrease in ATP level, this might be the key reasons causing cell apoptosis and necrosis. In conclusion, Cd2+ triggered DAG-PKC/IP3-Ca2+ double signaling pathway, caused DNA degradation and ATP decrease, and finally induced the cell injury in S.henanense based on histological observation. This study provided more information to know the signaling events underlying Cd2+-induced cytotoxicity.
A prototype system for the removal of 137 Cs from liquid radioactive waste using reverse osmosis membrane
Authors: Shaltout mohamed , kandil shaban , El-Tabl Abdou Saad , Aglan Hany , El-Din Ahmed M. Shahr , Mohamed Yasser T 
Published: February 2024

Abstract

Cesium removal from aqueous solutions of radioactive waste streams is a challenge in the field of radioactive waste management; this is due to the small atomic radii of Cs+ metal ions and their high migration ability. So, the development of a withstand system for the removal of Cs+ is crucial, in the current study, the removal of radioactive cesium from aqueous solutions using an RO-TLC membrane was studied. Two modifications were conducted; the first is to enlarge the cesium metal ion radii by interacting with mono and dia basic acids namely, stearic acid, tartaric acid, citric acid, and EDTA, and the second is the modification of the RO-membrane pore size via reaction with the same acids. The modification was confirmed using SEM, FTIR, and EDX analysis techniques. The Cs+ and K+ rejection capacities and water permeability across the membrane at 1.5 bars were evaluated. Along with using the above-mentioned acids, the Cs+ metal ion retention index (RCs) was also obtained. It was found that employing EDTA as a chelating agent in an amount of 1.5 g/L in conjunction with the variation of feed content since it provided the highest value of RCs ~98% when used. Moreover, the elution of Cs+ using; water, EDTA, Ammonia, and HCl is also investigated. The optimal value of the eluent concentration was (0.25 M) HCl. Finally, Langmuir and Freundlich isotherm models were applied for better understanding of the sorption process. Results shows that the present work results are more fitted to Langmuir isotherm model determine the dominance of the chemical sorption mechanism.
Host DNA depletion assisted metagenomic sequencing of bronchoalveolar lavage fluids for diagnosis of pulmonary tuberculosis
Authors: Yuan Jinfeng , Ma LiPing , Du Juan , Sun Hailin , Zhou Gang , Rao Guanhua , Sun Fengshuo , Chen Wangyang , Miao Hui , Tian Dan , Cheng Changhao , Wang Yan , Li Liang , Pang Yu , Li Lifeng 
Published: February 2024

Abstract
[Background]Metagenomic next-generation sequencing (mNGS) has greatly improved our understanding of pathogens in infectious diseases such as pulmonary tuberculosis (PTB). However, high human DNA background (> 95%) impedes the detection sensitivity of mNGS in identifying intracellular Mycobacterium tuberculosis (MTB), posing a pressing challenge for MTB diagnosis. Therefore, there is an urgent need to improve MTB diagnosis performance in PTB patients. [Methods]In this study, we optimized mNGS method for diagnosis of PTB. This led to the development of the host DNA depletion assisted mNGS (HDA-mNGS) technique, which we compared with conventional mNGS and the host DNA depletion-assisted Nanopore sequencing (HDA-Nanopore) in diagnostic performance. [Results]We collected 105 bronchoalveolar lavage fluid (BALF) samples from suspected PTB patients across three medical centers to assess the clinical performance of these methods. The results of our study showed that HDA-mNGS had the highest sensitivity(71.95%) and accuracy(74.49%) in PTB detection. This was significantly higher compared to mNGS (51.22%, 58.16%) and HDA-Nanopore (58.54%, 62.24%). Furthermore, HDA-mNGS provided an increased coverage of the MTB genome by up to 16-fold. Antibiotic resistance gene analysis indicated that HDA-mNGS could provide increased depth to the detection of AMR locus more effectively. [Conclusion]These findings indicate that HDA-mNGS can significantly improve the clinical performance of PTB diagnosis for BALF samples, offering great potential in managing antibiotic resistance in PTB patients.
Effect of non-linear thermal radiation on Prandtl-Eyring nanofluid through a stretching cylinder with entropy generation
Authors: Ullah Zakir , Zaman Gul , Ullah Ikram , Ali Ahmed Refaie 
Published: February 2024

Abstract
Our intention in the present work study is to investigate entropy generation on the magnetohydrodynamics (MHD) flow of Prandtl-Eyring nanofluid on a horizontal stretched cylinder. The chemical reaction and non-linear thermal radiation are also taken into consideration.The boundary layer flow equations are formulated as partial differential equations (PDEs) that are reduced and parameterized to a system of ordinarydifferential equations (ODEs) by employing mathematical transformations. Numerical solutions of resulting non-linear ODEs are carried out using theshooting technique. The results of various emerging thermophysical parameters on flow profiles and entropy generation are displayed graphically, whilephysical quantities of engineering interest are calculated through tables with physical descriptions. The significant results of this study disclose that the entropy generation number rises with rising diffusion parameter, Prandtl-Eyring fluid parameter, and Brinkman number values. The outcomes alsoreveal that a rise in the temperature ratio parameter, Eckert number, and radiation parameter boosts the temperature of the Prandtl-Eyring nanofluid.The Prandtl-Eyring nanofluid concentration significantly dropped with the rising chemical reaction parameter, but the Sherwood number showed the oppositebehavior for the rising chemical reaction parameter.
Examining Antigenic Similarities: Comparative Analysis of the Light Chain Lectin of Entamoeba histolytica and p53 Protein on the Surface of Colon Adenocarcinoma Cells Biopsy
Authors: Haghighi Leila , Dalimi Abdolhossein , Pirestani Majid , Ghaffarifar Fatemeh 
Published: February 2024

Abstract
Background
Entamoeba histolytica ranks as the third leading cause of death among parasitic infections worldwide. Despite its significance, the impact of this protozoan on colorectal cancer incidence and its association with the p53 protein in affected patients remain insufficiently explored. Therefore, this study aims to investigate the presence of the E. histolytica lectin light chain antigen and the p53 protein in colorectal cancer biopsies, with the objective of identifying any antigenic similarity between this protozoan and the surface proteins of tumor cells.
Materials and Methods
A total of 150 colorectal cancer biopsy samples were subjected to examination for the specific E. histolytica antigen and p53 protein through the application of the immunohistochemical technique. To augment diagnostic precision, the western blotting method was employed and its results were compared with those obtained from immunohistochemistry (IHC).
Results
Among the 150 biopsy samples examined, 100 cases tested positive for the p53 protein, while 19 cases exhibited positivity for the E. histolytica lectin antigen. Notably, only 14 cases demonstrated a positive presence for both the p53 protein and the E. histolytica protozoan.
Conclusion
Entamoeba histolytica, a leading cause of parasitic infections, raises questions about its potential link to colorectal cancer, specifically in connection with the p53 protein. This study aims to explore the antigenic similarity between the lectin of E. histolytica and the p53 protein on colorectal adenocarcinoma cells, shedding light on the intricate interactions between this protozoan and cancer cells. The findings presented in this investigation signal the need for further research to comprehensively understand the implications of E. histolytica in colorectal cancer diagnosis and treatment strategies.
Positional analysis of assisting muscles for handling-assisted exoskeleton
Authors: Wang Zheng , Guan Xiaorong , He Long , Zhu Meng , bai yu 
Published: February 2024

Abstract

In order to better design the Handling-assisted exoskeleton, it is necessary to analyze the biomechanics of humane handling movements. In this study, Anybody Modeling System(AMS) simulation was used to analyze the movement state of muscles during humane handling. Combined with surface electromyography(sEMG) experiments, specific analysis and verification were carried out to obtain the position of muscles that the human body needs to assist during handling. In this study, the simulation and experiment were carried out for the manual handling process. The treatment group and the experimental group were set up. This study found that the vastus medialis muscle, vastus lateralis muscle, latissimus dorsi muscle, trapezius muscle, deltoid muscle and triceps brachii muscle needs more power in the process of handling, and it is reasonable and effective to combine sEMG signals with simulation of the musculoskeletal model to analyze the muscle condition of humane movement.
PEAK Mood, Mind and Marks: Development of an Intervention to Support University Students’ Mental and Cognitive Health through Physical Exercise
Authors: Brown Catherine E. B. , Richardson Karyn , Halil-Pizzirani Bengianni , Hughes Sam , Atkins Lou , Perowne Rachel , Pitt Joseph , Yücel Murat , Segrave Rebecca A. 
Published: February 2024

Abstract

Background Concerns about mental and cognitive health are common among university students. Engaging in regular physical exercise has been shown to enhance both mental health and cognitive performance, yet most students are not participating in the level of exercise required to obtain these benefits. The Behaviour Change Wheel (BCW) provides a framework for developing behavioural interventions that are informed by theory, evidence, and stakeholder perspectives. The current study applied the BCW to develop the PEAK Mood, Mind and Marks program (i.e., PEAK), an intervention designed to increase university students’ exercise for the benefit of their mental and cognitive health. Methods PEAK was developed across three stages of the BCW: 1) understand the target behaviour, 2) identify intervention options, and 3) identify intervention content and delivery mode. Development was informed by triangulated data from a systematic literature review, co-design consultations with key stakeholders, and knowledge of relevant experts. Consultations with stakeholders involved focus groups with 25 university students and individual interviews with 10 university leaders and staff to identify barriers and facilitators to students’ exercise engagement and the adoption and implementation of PEAK by universities. Template analysis was used to code transcripts to the capability, opportunity, and motivation (COM-B) model of behaviour. The BCW was applied to identify the most appropriate intervention types and behaviour change techniques (BCTs). Results Thirty-one barriers and facilitators were identified and mapped to seven intervention types (Education; Modelling; Persuasion; Environmental Restructuring; Incentivisation; Training; and Enablement) and 26 BCTs, which were delivered across digital and in-person channels. The final intervention consisted of multiple components targeting students’ capability (e.g., increasing knowledge about the mental and cognitive health benefits of exercise), opportunity (e.g., providing a flexible range of accessible exercise options and social support), and motivation (e.g., increasing the perceived importance of exercise) to exercise. Conclusions University students and staff describe a need and appetite for more empowering, scalable solutions to support students’ mental and cognitive health. Exercise-based approaches that are informed by theory, evidence, and stakeholder perspectives, such as PEAK, have the potential to address this need. Current findings will inform a pilot of PEAK to evaluate its efficacy and implementation.
Selection of odors in multimedia based on correspondence with the odor categories of objects in scenes
Authors: Kim Kwangsu , Bae Jisub , Lee JeeWon , Moon Sun Ae , Lee Sang-ho , Kang Won-seok , Moon Cheil 
Published: February 2024

Abstract
Unlike many human senses, multimedia primarily engages the visual and auditory faculties. To broaden the sensory experience influenced by multimedia, it has incorporated olfactory stimulation to enhance the sense of reality. Odors are typically matched with objects in scenes. However, it is impractical to include all odors corresponding to every object in a scene for viewers. Alternatively, researchers propose presenting a singular odor from a category, representative of others within that category. Yet, it remains uncertain whether viewers' reactions to videos featuring multiple odors (e.g., rose, lavender, and lily) from a specific category (e.g., flower) are comparable. Therefore, we investigated whether odors within a given category could exhibit similarity in congruency based on the electroencephalogram (EEG) data's five frequency bands (delta, theta, alpha, beta, and gamma) collected as viewers watched videos. Through questionnaires and EEG experiments, we sought to comprehend the impact of similar odors within categories. It was observed that odors within a specific category were more congruent with videos than those from different odor categories. The delta and theta bands predominantly clustered in EEG data when odors from similar categories were presented to viewers. The theta band, linked to neural signals of odors during olfactory processing, played a significant role. However, despite their association with human emotional responses, the alpha, beta, and gamma bands did not exhibit clustering based on category. Our findings demonstrate the viability of selecting odors based on their categories in multimedia.
Globosus polychromus gen. et sp. nov. for a freshwater hyphomycete in Muyocopronaceae (Muyocopronales)
Authors: Xu Rong-Ju , Calabon Mark S , Mapook Ausana , Boonmee Saranyaphat , Zhou De-Qun , Hyde Kevin D , Zhao Qi 
Published: February 2024

Abstract
A new genus Globosus with a new species G. polychromus is introduced from a freshwater habitat in Thailand, based on morphological characters with evidence from phylogenetic analysis of concatenated internal transcribed spacer region ITS4-5.8S -ITS5 (ITS), nuclear large subunit rDNA (28S) and nuclear small subunit rDNA (18S) sequence data. Phylogenetically, Globosus clustered with Quadrisporellaand Setoapiospora in Muyocopronaceae with 100% ML/ 1.00 BYPP support. However, there are differences in morphology. Globosus is characterized by its hyphomycetous structure and having pink or yellow colonies in culture on the natural substrate and PDA, its conidiogenous cells exhibit distinctive globular intumescence which differs from existing genera in Muyocopronaceae. Descriptions and illustrations of G. polychromus are provided with a key to asexual genera in Muyocopronaceae.
Identification and Validation of Mitochondrial Oxidative Stress- Related Prognostic Signature with Clinical Characteristics and Immune Filtration in Liver Hepatocellular Carcinoma
Authors: Wang Zhihui , Zhou Hao , Zhang Lie , Liu Xin , Wang Hui 
Published: February 2024

Abstract

Mitochondrial oxidative stress plays a critical role in cancer development and progression. However, there is limited research on the relationship between mitochondrial oxidative stress and liver hepatocellular carcinoma (LIHC). Mitochondrial oxidative stress-related genes were collected from Genecards Portal. Prognosis-linked genes (PLGs) were identified by univariate Cox regression analysis. A risk model was constructed based on the PLGs using least absolute shrinkage and selection operator (LASSO) analysis. Receiver operating characteristic (ROC) curves were used to determine the predictive ability of the model. The expression levels of the prognostic genes were verified in the cell lines. We constructed a novel risk model based on 9 prognostic genes (CYP2C19, CASQ2, LPL, TXNRD1, CACNA1S, SLC6A3, OXTR, BIRC5, and MMP1). Survival analysis showed that patients with a low-risk score had a much better overall survival (OS). Prognostic risk score was found to be an independent predictor of prognosis. Patients in the high-risk group had a less favorable tumor microenvironment characterized by a lower degree of immune cell infiltration. In contrast, the low-risk group demonstrated a higher degree of immune cell infiltration, which could potentially contribute to a more effective antitumor immune response. Our investigation reveals the oncogenic role of mitochondrial oxidative stress in LIHC. For the first time, we established a risk prediction model for mitochondrial oxidative stress in patients with LIHC.
Risk of Death from Venous Thromboembolism in Severe and Critical Pneumonia Patients: A Retrospective Observational Study
Authors: Zhang Yang , Qu Yali , Li Tan , Liao Chuanjun , Song Shenghan , Sun Mingsheng , Zhang Wangde , Li Shuo 
Published: February 2024

Abstract
Background: Venous thromboembolism (VTE) poses a significant risk to patients with severe and critical pneumonia, contributing to increased mortality rates. Early detection of VTE in these patients is crucial for implementing timely interventions and improving outcomes.
Method: We conducted a single-centered, retrospective, observational study involving 32 adult patients with severe and critical pneumonia admitted to the intensive care unit of Beijing Chaoyang Hospital, China, between January 1, 2020, and February 20, 2023. All patients underwent bilateral lower extremity venous ultrasound and D-dimer testing upon admission. Logistic regression analysis was performed to assess the relationship between patient mortality and VTE, considering gender, age, time to ultrasound examination, site of thrombus, and D-dimer levels.
Results: Among the 32 patients, 21 (65.6%) developed acute venous thrombosis in both lower extremities, with varying degrees of involvement. Notably, 11 (52.3%) of these patients died during the study period. The logistic regression analysis identified standard deviation for D-dimer levels as a significant predictor of patient mortality (P = 0.05), indicating a strong association between elevated D-dimer levels and increased risk of death.
Conclusions: Our findings underscore the importance of early detection and management of VTE in severe and critical pneumonia patients. Elevated D-dimer levels, indicative of a hypercoagulable state, were significantly associated with mortality risk in this population. Prompt initiation of anticoagulant therapy upon VTE diagnosis may help mitigate this risk and improve patient outcomes. These results emphasize the need for vigilant monitoring and proactive measures to prevent VTE-related complications in critically ill pneumonia patients.
Trial Registration: Retrospectively registered
Optimizing ultrashort pulse in fiber laser based on artificial intelligence algorithm
Authors: Han Xiaoxiang , Huang Zhiting , Yue Jun , Li Jun , Yan Xiang'an , Xia Yanwen , Zhang Guoqing , Zhang Haiyang , Xia Caijuan , Zhang yusheng 
Published: February 2024

Abstract
Ultrashort pulses, characterized by their short pulse duration, diverse spectral content, and high peak power, are widely used in fields including laser processing, optical storage, biomedical sciences, and laser imaging. The complex, highly-nonlinear process of ultrashort pulse evolution within fiber lasers is influenced by numerous aspects such as dispersion, loss, gain, and nonlinear effects. Traditionally, the split-step Fourier transforms method is employed for simulating ultrashort pulses in fiber lasers, which involves traversing multiple parameters within the fiber to attain the pulse's optimal state. The simulation is a significantly time-consuming process. Here, we use a neural network model to fit and predict the impact of multiple parameters on the pulse characteristics within fiber lasers, enabling parameter optimization through genetic algorithms to determine the optimal pulse duration, pulse energy, and peak power. Integrating artificial intelligence algorithms simplifies the acquisition of optimal pulse parameters and enhances our understanding of multiple parameters’ impact on the pulse characteristics. The investigation of ultrashort pulse optimization based on artificial intelligence holds immense potential for laser design.