bluuebunny/crossref_metadata_2025_split huggingface dataset:
Caution for Psychiatrists: Malignant Hyperthermia Risks Following Electroconvulsive Therapy
Authors: Nakano Masaki , Takata Taketo , Wakisaka Riko , Koyama Genki , Koreki Akihiro , Ishida Takuto , Uchida Hiroyuki , Mimura Masaru , Funayama Michitaka 
Published: February 2024

Abstract
Background Malignant hyperthermia is a potentially lethal condition triggered by specific anesthetic drugs, especially a depolarizing muscle relaxant of suxamethonium. Despite the frequent use of suxamethonium with electroconvulsive therapy (ECT), there has been no reported case of potentially lethal malignant hyperthermia following ECT. In addition, the time interval between the administration of suxamethonium and the onset of malignant hyperthermia has not been outlined in the context of ECT.Case presentation We present the case of a 79-year-old woman suffering from severe depression, who experienced severe malignant hyperthermia due to suxamethonium administration during ECT sessions. She presented with a high fever of 40.2°C, a tachycardia of 140/min, hypertension with a blood pressure exceeding 200 mmHg, significant muscle rigidity, and impaired consciousness. These symptoms emerged two hours after ECT and reached their peak in less than 24 hours. She was given 60 mg of dantrolene, which quickly reduced the muscular rigidity. Subsequently, she received two additional doses of 20 mg and 60 mg of dantrolene, which brought her fever down to 36.2°C and completely eased her muscle rigidity within two days after ECT.Conclusions This is the first reported case of potentially lethal malignant hyperthermia after ECT. In addition, it highlights the delayed onset of malignant hyperthermia following an ECT procedure, emphasizing the necessity for psychiatrists to recognize its onset even after the treatment. In the light of potentially lethal consequences of malignant hyperthemia, it is critically important for psychiatrists to closely monitor both intraoperative and postoperative patient’s vital signs and characteristic physical presentations, promptly identify any symptomatic emergence, and treat it immediately with dantrolene.
Robust senescence evaluation by transcriptome-based hUSI to facilitate characterizing cellular senescence under various conditions
Authors: Ni Ting , Wang Jing , Wang Weixu , Yao Jun , Zhou Xiaolan , Wei Gang 
Published: February 2024

Abstract
Despite the manifestation and contribution of cellular senescence to tissue aging and aging-related disease, the identification of in vivo senescent cells and the recognition of senescence-specific communication still remain challenging. Current senescence evaluation methods rely greatly on expression level of well-known senescence markers, enrichment of aging-related gene sets or weighted sum of curated genes. However, focusing on limited senescence aspects, these methods could not adequately capture the comprehensive senescence features. To evaluate senescence in a more general and unbiased way from the most common and easily accessible transcriptome data, we developed human universal senescence index (hUSI) to quantify human cellular senescence based on a series of weighted genes learned from representative senescence RNA-seq profiles using a machine learning algorithm. hUSI demonstrated its superior performance in distinguishing senescent samples under various conditions and robustness in handling batch effects and sparse profiles. hUSI could uncover the accumulation of senescent cells of various cell types in complex pathological conditions, and reflected the increasing senescence burden of patients and provided potential senotherapeutic targets. Furthermore, combined with gaussian mixture model, hUSI successfully inferred senescent tumor cells in melanoma and identified key target signaling pathways that are beneficial for patient prognosis. Overall, hUSI provides a valuable choice to improve our ability in characterizing cellular senescence under various conditions, illustrating promising implications in aging studies and clinical situations.
Biogeography of hot spring photosynthetic microbial biofilms in Southeast Asia
Authors: Pointing Stephen , George Christaline , Kortheerakul Chananwat , Khunthong Nithiya , Bhunjun Chitrabhanu , Chan Kok-Gan , Daroch Maurycy , Hyde Kevin , Lee Patrick , Luo Danli , Goh Kian Mau , Waditee-Sirisattha Rungaroon 
Published: February 2024

Abstract

Hot springs are tractable model systems in microbial ecology for investigating the interactions of photosynthetic microbial biofilms. This is because they occur across broad geographic scales, possess readily identified major abiotic variables, and are subject to minimal influence from metazoans. Despite this regional scale investigations are lacking, and major questions persist concerning the evolutionary drivers responsible for biofilm turnover at broad geographic scales. Here, we present the largest study to date, incorporating concurrent measurement of biotic and abiotic diversity and rigorous statistical analysis and modelling. We characterized 395 biofilms from neutral-alkaline hot springs spanning a 2,100km latitudinal gradient in Southeast Asia. The data clearly resolved six biogeographic regions with each defined by a core microbiome comprising specific cyanobacteria and other diverse photosynthetic, chemoheterotrophic, and chemoautotrophic taxa. Our findings demonstrated that the most influential abiotic variables (pH, conductivity, carbonate) accounted for relatively little of the observed variation in biofilm communities, and that extensive biotic interactions spanned multiple trophic levels. Importantly, we present quantitative evidence that stochasticity due to ecological drift was the most important evolutionary driver of spatial turnover at a regional scale. These insights establish a pivotal milestone in understanding of this model system, fostering enhanced testing and comparison with more intricate microbial ecosystems.
An improved YOLOv8 safety helmet wearing detection network
Authors: Song Xudong , Zhang Tiankai , Yi Weiguo 
Published: February 2024

Abstract

In the field of industrial safety, wearing helmets plays a vital role in ensuring workers’ health. Aiming at addressing the complex background in the industrial environment, caused by differences in distance, the helmet small target wear detection methods for misdetection and omission detection problems are needed. An improved YOLOv8 safety helmet wearing detection network is proposed to enhance the capture of details, improve multiscale feature processing and improve the accuracy of small target detection by introducing Dilation-wise Residual(DWR) attention module, Atrous Spatial Pyramid Pooling(ASPP) and Normalized Wasserstein Distance(NWD) loss function. Experiments were conducted on the SHWD dataset, and the results showed that the mAP of the improved network improved to 92.0%, which exceeded that of the traditional target detection network in terms of accuracy, recall, and other key metrics. These findings further improved the detection of helmet wearing in complex environments and greatly enhanced the accuracy of detection.
The Causal Relationships between Mitochondria and Six Types of Cancer: A Mendelian Randomization Study
Authors: Tang Jincheng , Zhang Jingting , Yang Renyi , Chen Hongyao , Yu Xiaopeng , Zeng Puhua , Peng Wei 
Published: February 2024

Abstract
Background
Mitochondria play a pivotal and multifaceted role in the progression of cancer. However, the causal relationship between mitochondria and cancer remains to be elucidated. To enhance comprehension, this study employs Mendelian randomization (MR) to investigate the potential causal links between mitochondria and six types of cancer.
Methods
Through MR analysis, employing the Inverse Variance Weighted method (IVW), MR-Egger method, and Weighted Median method (WM) to analyze the causal relationships between mitochondria and six types of cancer. Additionally, utilizing Cochran's Q test, leave-one-out test, and MR-Egger test to assess the reliability and stability of the causal relationship, employing Steiger directional test to determine whether mitochondrial-related exposure is an upstream factor leading to cancer.
Results
We observed a negative correlation between "39S ribosomal protein L34, mitochondrial", and others, with hepatic cancer, while "[Pyruvate dehydrogenase (acetyl-transferring)] kinase isozyme 2, mitochondrial", and others exhibited a positive correlation with hepatic cancer. "Phenylalanine–tRNA ligase, mitochondrial", and others demonstrated a negative association with colorectal cancer, whereas "Methylmalonyl-CoA epimerase, mitochondrial", and others exhibited a positive correlation with colorectal cancer. "Succinate dehydrogenase assembly factor 2, mitochondrial" exhibited a negative correlation with lung cancer, while "Superoxide dismutase [Mn], mitochondrial levels" showed a positive correlation with lung cancer. "Lon protease homolog, mitochondrial" demonstrated a positive correlation with esophageal cancer. "Iron-sulfur cluster assembly enzyme ISCU, mitochondrial", and others exhibited a negative correlation with thyroid cancer, while "Diablo homolog, mitochondrial", and others showed a positive correlation with thyroid cancer. "ADP-ribose pyrophosphatase, mitochondrial", and others exhibited a negative correlation with breast cancer, while "39S ribosomal protein L34, mitochondrial", and others showed a positive correlation with breast cancer.
Conclusions
Our findings contribute to a nuanced understanding of the causal relationships between mitochondria and the six types of cancer. Additionally, it was observed that identical single-nucleotide polymorphisms (SNPs) serve as instrumental variables (IVs), influencing different cancers through mitochondrial-related exposures. This study provides relevant evidence for mitochondria to be further explored as targets for treating cancer and improving prognosis. Simultaneously, it also aids subsequent research on treating various cancers through targeting a single SNP.
Prevalence and characterization of band-shaped tail lesions in Danish Holstein dairy cows
Authors: Jensen Henrik Elvang 
Published: February 2024

Abstract
Band-shaped tail lesions in Danish Holstein dairy cows are present either as wounds or in the form of connective tissue formations. Both types are characterized by a median localization 7 cm from the tip of the tail, are always occurring on the dorsal side of the tail, which they can envelop completely or to varying degrees, and are often present as single lesions (93%). The prevalence of band-shaped tail lesions was observed to be 25% among 2099 cows examined in 16 Danish dairy herds with a variation from 18–40% between herds. In the herds the wound lesions and the connective tissue formations accounted for 22% and 78% of all band-shaped tail lesions, respectively. Among 458 cows examined at an abattoir the prevalence of band-shaped tail lesions was 23%, i.e. similar to the prevalence within the herds. At the abattoir the share of band-shaped wound lesions was 67% and the band-shaped connective tissue formation 33%. Associations between the occurrence of band-shaped tail lesions and parity and lack of the tail tip were observed.
Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning
Authors: Liu Chi-Kuang , Chang Hui-Yu , Huang Hsuan-Ming 
Published: February 2024

Abstract
Since its development, virtual monoenergetic imaging (VMI) derived from dual-energy computed tomography (DECT) has been shown to be valuable in many clinical applications. However, DECT-based VMI showed increased noise at low keV levels. In this study, we proposed an unsupervised learning method to generate VMI from DECT. This means that we don’t require training and labeled (i.e. high-quality VMI) data. Specifically, DECT images were fed into a deep learning (DL) based model expected to output VMI. Based on the theory that VMI obtained from image space data is a linear combination of DECT images, we used the model output (i.e. the predicted VMI) to recalculate DECT images. By minimizing the difference between the measured and recalculated DECT images, the DL-based model can be constrained itself to generate VMI from DECT images. We investigate whether the proposed DL-based method has the ability to improve the quality of VMIs. The experimental results obtained from patient data showed that the DL-based VMIs had better image quality than the conventional DECT-based VMIs. Moreover, the CT number differences between the DECT-based and DL-based VMIs were distributed within \(\pm\)10 HU for bone and \(\pm\)5 HU for brain, fat, and muscle. Except for bone, no statistically significant difference in CT number measurements was found between the DECT-based and DL-based VMIs (p > 0.01). Our preliminary results show that DL has the potential to unsupervisedly generate high-quality VMIs directly from DECT.
Strategies used for management of patients with COVID- 19: A comparative study of Iranian and Chinese Nurses’ experiences
Authors: Varaei Shokoh , Caihong Zhang , Siqi Zhang , Mahmoodi Parvin , Guo Honghua 
Published: February 2024

Abstract

Background: Availability of medical infrastructures, the ability to comprehend the transmission of a disease, the application of control strategies and proper implementation of logistic policies are vital for successful management of an epidemic in a country but all of them are under the influence of the health and management policies of countries. Thus, the present study aimed to compare the strategies used by Iranian and Chinese nurses for management plan of patients with COVID- 19.
Methods: The present study was conducted based on the conventional content analysis method and Graneheim & Lundman approach. The participants were recruited by purposeful sampling and based on inclusion criteria from the nurses working in the COVID-19 wards of Shariati hospital in Tehran of Iran and Haikou hospital in Hainan of China. The data were collected by conducting semi-structured, in-depth, one-to-one interviews until reaching data saturation. Then the differentiation of the strategies used in the two countries was investigated.
Results: In-depth interviews with 9 Chinese and 10 Iranian nurses were done. “managers as key element to overcoming the crisis” as the main category, 6 categories and 22 subcategories were excluded from Iranian interviews. “Action to Control Crisis” as the main category, 8 categories and 19 subcategories were excluded from Chinese interviews.
Conclusion: Nursing managers in China have given more importance to the process of training and preparing nurses to take care of patients with Covid-19 and reduce the transmission of infection between Health care workers. However, nursing managers in Iran have focused more on using measures to compensate for the shortage of nurses, limiting the days of hospitalization of patients and daily monitoring of nurses' performance and ventilator settings of patients.
Potential distribution of three invasive agricultural pests in China under climate change
Authors: Zhang Yanjing , Wan Yaqiong , Wang Chenbin , Chen Jing , Si Qin , Ma Fangzhou 
Published: February 2024

Abstract

Invasive pests reduce biodiversity and ecosystem service functions, thereby leading to economic and environmental losses and human health issues. Erionota torus Evans, Rhynchophorus ferrugineus, and Opisina arenosella are invasive insect pests in the palm-growing regions of China. Their future distribution patterns are unknown. The MaxEnt model was used to simulate the potential distribution dynamics of these three invasive species. Results indicate that the suitable habitat area of E. torus Evans remains relatively stable with some expansion in the SSP126 of 2081–2100 and some contraction in the SSP585 of 2081–2100. The suitable habitat area of R. ferrugineus showed an overall contraction, with substantial contraction in the SSP585 of 2081–2100. The suitable habitat area of O. arenosella has an overall expansion, with the most pronounced expansion in the SSP585 of 2061–2080. Human disturbance factors, temperature, and precipitation were crucial variables for describing the distribution of the three species. O. arenosella shows an expanding trend, requiring improved prevention and control management measures. E. torus shows a inconsistent trend, which need to strengthen dynamic monitoring and prevent recurrence. These findings provide information that could aid in the spatial management and effective control of other invasive insects in China.
Current trends in take-out food consumption and its influencing factors among first-trimester pregnant women in Changsha
Authors: Teng Sheng , Lin Leshi , Li Wenjuan , Yang Yi , Li Li , Peng Fang , Gao Xiao , Peng Dongmei 
Published: February 2024

Abstract
Background
Take-out food consumption has adverse effects on public health, and previous studies have reported that frequent consumption of take-out food increases the risk of hypertension and heart disease. However, the status of take-out food consumption among pregnant women remains unclear. This study aimed to provide a comprehensive description of the present state of take-out food consumption among first-trimester pregnant women in Changsha and to investigate the factors influencing this behaviour.
Methods
This study included 888 pregnant women in early pregnancy based on the Changsha maternal and child birth cohort (March to August 2022). Electronic questionnaires were administered during early antenatal check-ups. Statistical analyses were conducted using SPSS 18.0, including nonparametric Kruskal–Wallis H tests and multivariate ordinal logistic regression, to explore the factors influencing take-out food consumption by first-trimester pregnant women.
Results
In Changsha, 73.3% of pregnant women consumed take-out food during early pregnancy. The top three types of take-out foods commonly consumed were rice noodles or noodles (55.7%), Chinese fast foods (49.9%), and sugary drinks or desserts (37.4%). The results of multivariate ordinal logistic regression analysis revealed that pregnant women with depression symptoms (odds ratio [OR] = 1.65, 95% confidence interval [CI]: 1.18–2.32), higher education level (OR = 1.88, 95% CI: 1.23–2.88), and higher online time (OR = 1.50, 95% CI: 1.11–2.03) consumed take-out food more frequently in early pregnancy than those without depression symptoms, lower education level, and lower online time.
Conclusions
Our study suggests that take-out food consumption is common among first-trimester pregnant women in Changsha. Education level, depression symptoms, and online time are risk factors that may potentially influence the consumption of take-out food during early pregnancy.
Effects of Ischemic Preconditioning on Aerobic Capacity in Healthy Adults: A Systematic Review and Meta-Analysis
Authors: Zhou Limingfei , Gan Jianyu , Tan Yineng , Bao Dapeng , Zhou Junhong 
Published: February 2024

Abstract
Background: Ischemic preconditioning (IPC) may be a promising strategy to improve aerobic capacity in healthy adults, while such effects have not been comprehensively characterized. This systematic review and meta-analysis aimed to examine the effects of IPC intervention on aerobic capacity in healthy adults.
Methods: Studies with randomized controlled or crossover designs exploring the effects of IPC as compared to no intervention or placebo control on time trial performance (TTP), time to exhaustion (TTE), maximal oxygen uptake (VO2max), peak oxygen uptake (VO2peak), and blood lactate (BLA) in healthy adults were included. The data (M ± SD) were extracted from included studies and converted into mean difference (MD) by calculating fixed-effect meta-analysis. Subgroup analysis was used to examine the characteristics of IPC intervention, participants, and exercise tests.
Results: Twenty publications consisting of 297 participants were included. The overall analysis showed that TTE significantly improved after IPC intervention compared with the control [MD = 31.78, 95%CI (17.67, 45.89), P < 0.01]. In subgroup analysis, TTE was significantly improved only in acute intervention conditions [MD = 31.50, 95%CI (17.12, 45.88), P < 0.01], in untrained participants [MD = 50.37, 95%CI (30.47, 70.27), P < 0.01], and assessed by cycling exercise tests [MD = 46.51, 95%CI (26.21, 66.82), P < 0.01]. However, no significant effect was observed on TTP [MD = −1.75, 95%CI (−8.79, 5.29), P = 0.63], VO2max/VO2peak [MD = 0.10, 95%CI (−1.02, 1.21), P = 0.87], and BLA [MD = 0.26, 95%CI (−0.05, 0.57), P = 0.10] in healthy adults after IPC intervention.
Conclusions: This meta-analysis provides moderate evidence that IPC intervention cannot induce significant improvement in aerobic capacity, but it improves the tolerance of the training intensity and fatigue recovery in healthy adults. IPC intervention might be effective (i) in acute intervention conditions, (ii) in untrained athletes or beginner athletes, and (iii) in exercises dominated by the muscles at the position of the intervention.
Systematic review registration: www.crd.york.ac.uk/PROSPERO/, identifier: CRD42023407412.
Coronavirus Disease 2019 Combined with T. marneffei Infection Complicated by Undiagnosed HIV：A case report and literature review
Authors: Li Xiaoling , Yang Liting , Li Weijie , Liang Peifeng , Pan Dongfeng 
Published: February 2024

Abstract

Background: Talaromycosis(TSM) commonly occurs in immunodeficient or immunosuppressed individuals, but it can also occur in healthy populations. The present case reports the COVID-19 together with human immunodeficiency virus(HIV) and TSM.
Case Presentation: This report describes a 26-year-old male who presented with a fever and cough for 20 days. He was diagnosed with COVID-19 and viral pneumonia through a real-time RT-PCR assay and chest CT scan. However, his symptoms failed to improve significantly despite being treated with high-flow oxygen, levofloxacin antibiotic, and dexamethasone for 5 days. The presence of white streaks in his oral cavity, combined with the patient's history of multiple antibiotics, raised the possibility of a fungal infection. The results of the oral pharyngeal swabs indicated that he was infected with T. marnefii, which led to testing for HIV and eventually confirmed the diagnosis.
Conclusion: This case demonstrates the importance of being alert to concurrent fungal infections when infecting with COVID-19 and using multiple antimicrobial agents. Additionally, when infecting with T. marnefii, it is crucial to focus on the presence of HIV infection.
The Hammett substituent constant of the dodecaborate dianion inaugurates a non-coordinating, non-basic, and strongly inductively electron-donating group for organic chemistry
Authors: Gabel Detlef , Al-Joumhawy Mahmoud , Assaf Khaleel I , Nau Werner 
Published: February 2024

Abstract
The dodecaborate anion (B12H122–, DDB) has been qualitatively considered as a strong electron donor. Here, we report the Hammett substituent constant for DDB and its amino derivative (DDB–NH), which are among the strongest electron donors reported so far, on a scale that employs the 19F chemical shift of meta- and para-substituted fluorobenzenes in DMSO. The dissection of the substituent effect into inductive/field and resonance contributions shows that specifically the DDB group exerts an exceptionally strong and dominant inductive/field effect, which presents another unique feature in comparison to established electron-donating groups. In contrast to the latter, the DDB group does not become readily protonated, it does not tend to coordinate with Lewis acids or transition metals, and it is chemically and photochemically inert. In addition, the electron-donating effect of the DDB group can be combined with other electron donors to afford an even more strongly electron-donating group, DDB–NH. The newly characterized electron-donating groups can be utilized in diverse contexts, among which the maximization of push-pull effects on the optical absorption spectra of chromophores presents one specific application.