bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aloin isoforms (A and B) selectively inhibits proteolytic and deubiquitinating activity of papain like protease (PLpro) of SARS-CoV-2 in vitro
Authors: Lewis Devin S. M. , Ho Joanna , Wills Savannah , Kawall Anasha , Sharma Avini , Chavada Krishna , Ebert Maximilian C. C. J. C. , Evoli Stefania , Singh Ajay , Rayalam Srujana , Mody Vicky , Taval Shashidharamurthy 
Published: February 2022

AbstractThe most common host entry point of human adapted coronaviruses (CoV) including SARS-CoV-2 is through the initial colonization in the nostril and mouth region which is responsible for spread of the infection. Most recent studies suggest that the commercially available oral and nasal rinse products are effective in inhibiting the viral replication. However, the anti-viral mechanism of the active ingredients present in the oral rinses have not been studied. In the present study, we have assessed in vitro enzymatic inhibitory activity of active ingredients in the oral mouth rinse products: aloin A and B, chlorhexidine, eucalyptol, hexetidine, menthol, triclosan, methyl salicylate, sodium fluoride and povidone, against two important proteases of SARS-CoV-2 PLpro and 3CLpro. Our results indicate only aloin A and B effectively inhibited proteolytic activity of PLpro with an IC50 of 13.16 and 16.08 μM. Interestingly, neither of the aloin isoforms inhibited 3CLpro enzymatic activity. Computational structural modelling of aloin A and B interaction with PLpro revealed that, both aloin isoforms form hydrogen bond with Tyr268 of PLpro, which is critical for their proteolytic activity. Furthermore, 100 ns molecular dynamics (MD) simulation studies predicted that both aloin isoforms have strong interaction with Glu167, which is required for PLpro deubiquitination activity. Our results from the in vitro deubiquitinase inhibition assay show that aloin A and B isomers exhibit deubiquitination inhibitory activity with an IC50 value of 15.68 and 17.51 µM, respectively. In conclusion, the isoforms of aloin inhibit both proteolytic and the deubiquitinating activity of SARS-CoV-2 PLpro, suggesting potential in inhibiting the replication of SARS-CoV-2 virus.
A deep learning approach for medical waste classification
Authors: Zhou Haiying , Yu Xiangyu , Alhaskawi Ahmad , Dong Yanzhao , Wang Zewei , Jin Qianjun , Hu Xianliang , Liu Zongyu , Kota Vishnu Goutham , Abdulla Mohamed Hasan Abdulla Hasan , Ezzi Sohaib Hasan Abdullah , Qi Binjie , Li Juan , Wang Bixian , Fang Jianyong , Lu Hui 
Published: February 2022

AbstractAs the demand for health grows, the increase in medical waste generation is gradually outstripping the load. In this paper, we propose a deep learning approach for identification and classification of medical waste. Deep learning is currently the most popular technique in image classification, but its need for large amounts of data limits its usage. In this scenario, we propose a deep learning-based classification method, in which ResNeXt is a suitable deep neural network for practical implementation, followed by transfer learning methods to improve classification results. We pay special attention to the problem of medical waste classification, which needs to be solved urgently in the current environmental protection context. We applied the technique to 3480 images and succeeded in correctly identifying 8 kinds of medical waste with an accuracy of 97.2%; the average F1-score of five-fold cross-validation was 97.2%. This study provided a deep learning-based method for automatic detection and classification of 8 kinds of medical waste with high accuracy and average precision. We believe that the power of artificial intelligence could be harnessed in products that would facilitate medical waste classification and could become widely available throughout China.
PE and PET oligomers’ interplay with membrane bilayers
Authors: Järvenpää Joni , Perkkiö Milla , Laitinen Riikka , Lahtela-Kakkonen Maija 
Published: February 2022

AbstractThe prevalence of microplastic pollution in nature and foodstuffs is fairly well identified. However, studies of micro- or nanoplastics’ cell membrane permeation and health effects in humans are lacking. Our study focuses on examining the interactions of polyethylene (PE) and polyethylene terephthalate (PET) with bilayer membranes. We have performed molecular dynamics simulations to study how plastic oligomers behave in bilayers. In addition, we have studied membrane permeation of PE and Bis(2-hydroxyethyl) terephthalate (BHET), a type of PET monomer, with Parallel Artificial Membrane Permeability Assay (PAMPA). As a result, in simulations the molecules exhibited different movements and preferred locations in membrane. PAMPA studies suggested similar preferences in membrane, especially for PE plastic. Our results suggest that passive diffusion could be an important transport mechanism into cells for some small plastic oligomers. Both molecular dynamics simulations and PAMPA have potential for micro- and nanoplastics research.
Estimating mangrove forest gross primary production by quantifying environmental stressors in the coastal area
Authors: Zheng Yuhan , Takeuchi Wataru 
Published: February 2022

AbstractMangrove ecosystems play an important role in global carbon budget, however, the quantitative relationships between environmental drivers and productivity in these forests remain poorly understood. This study presented a remote sensing (RS)-based productivity model to estimate the light use efficiency (LUE) and gross primary production (GPP) of mangrove forests in China. Firstly, LUE model considered the effects of tidal inundation and therefore involved sea surface temperature (SST) and salinity as environmental scalars. Secondly, the downscaling effect of photosynthetic active radiation (PAR) on the mangrove LUE was quantified according to different PAR values. Thirdly, the maximum LUE varied with temperature and was therefore determined based on the response of daytime net ecosystem exchange and PAR at different temperatures. Lastly, GPP was estimated by combining the LUE model with the fraction of absorbed photosynthetically active radiation from Sentinel-2 images. The results showed that the LUE model developed for mangrove forests has higher overall accuracy (RMSE = 0.0051, R2 = 0.64) than the terrestrial model (RMSE = 0.0220, R2 = 0.24). The main environmental stressor for the photosynthesis of mangrove forests in China was PAR. The estimated GPP was, in general, in agreement with the in-situ measurement from the two carbon flux towers. Compared to the MODIS GPP product, the derived GPP had higher accuracy, with RMSE improving from 39.09 to 19.05 g C/m2/8 days in 2012, and from 33.76 to 19.51 g C/m2/8 days in 2015. The spatiotemporal distributions of the mangrove GPP revealed that GPP was most strongly controlled by environmental conditions, especially temperature and PAR, as well as the distribution of mangroves. These results demonstrate the potential of the RS-based productivity model for scaling up GPP in mangrove forests, a key to explore the carbon cycle of mangrove ecosystems at national and global scales.
Overcoming cognitive set bias requires more than seeing an alternative strategy
Authors: Pope-Caldwell Sarah M. , Washburn David A. 
Published: February 2022

AbstractDetermining when to switch from one strategy to another is at the heart of adaptive decision-making. Previous research shows that humans exhibit a ‘cognitive set’ bias, which occurs when a familiar strategy occludes—even much better—alternatives. Here we examined the mechanisms underlying cognitive set by investigating whether better solutions are visually overlooked, or fixated on but disregarded. We analyzed gaze data from 67 American undergraduates (91% female) while they completed the learned strategy-direct strategy (LS-DS) task, which measures their ability to switch from a learned strategy (LS) to a more efficient direct strategy (DS or shortcut). We found that, in the first trial block, participants fixated on the location of the shortcut more when it was available but most (89.6%) did not adopt it. Next, participants watched a video demonstrating either the DS (N = 34 Informed participants) or the familiar LS (N = 33 Controls). In post-video trials, Informed participants used the DS more than pre-video trials and compared to Controls. Notably, 29.4% of Informed participants continued to use the LS despite watching the DS video. We suggest that cognitive set in the LS-DS task does not stem from an inability to see the shortcut but rather a failure to try it.
Image quality and diagnostic accuracy of reduced-dose computed tomography enterography with model-based iterative reconstruction in pediatric Crohn’s disease patients
Authors: Lee Yeoun Joo , Hwang Jae-Yeon , Ryu Hwaseong , Kim Tae Un , Kim Yong-Woo , Park Jae Hong , Choo Ki Seok , Nam Kyung Jin , Roh Jieun 
Published: February 2022

AbstractThis study assessed the image quality and diagnostic accuracy in determining disease activity of the terminal ileum of the reduced-dose computed tomography enterography using model-based iterative reconstruction in pediatric patients with Crohn’s disease (CD). Eighteen patients were prospectively enrolled and allocated to the standard-dose (SD) and reduced-dose (RD) computed tomography enterography (CTE) groups (n = 9 per group). Image quality, reader confidence in interpreting bowel findings, accuracy in determining active CD in the terminal ileum, and radiation dose were evaluated. Objective image quality did not show intergroup differences, except for image sharpness. Although reader confidence in detecting mural stratification, ulcer, and perienteric fat stranding of the RD-CTE were inferior to SD-CTE, RD-CTE correctly diagnosed active disease in all patients. The mean values of radiation dose metrics (SD-CTE vs. RD-CTE) were 4.3 versus 0.74 mGy, 6.1 versus 1.1 mGy, 211.9 versus 34.5 mGy∙cm, and 4.4 versus 0.7 mSv mGy∙cm for CTDIvol, size-specific dose estimation, dose-length product, and effective dose, respectively. RD-CTE showed comparable diagnostic accuracy to SD-CTE in determining active disease of the terminal ileum in pediatric CD patients. However, image quality and reader confidence in detecting ulcer and perienteric fat stranding was compromised.
Antiflammatory activity and potential dermatological applications of characterized humic acids from a lignite and a green compost
Authors: Verrillo Mariavittoria , Parisi Melania , Savy Davide , Caiazzo Giuseppina , Di Caprio Roberta , Luciano Maria Antonietta , Cacciapuoti Sara , Fabbrocini Gabriella , Piccolo Alessandro 
Published: February 2022

AbstractLong-term exposure to air pollution has been associated with the development of some inflammatory processes related to skin. The goal of modern medicine is the development of new products with antiflammatory action deriving from natural sources to improve environmental and economic sustainability. In this study, two different humic acids (HA) were isolated from from lignite (HA-LIG) and composted artichoke wastes (HA-CYN) and characterized by infrared spectrometry, NMR spectroscopy, thermochemolysis-GC/MS, and high-performance size-exclusion chromatography (HPSEC), while their antiflammatory activity was evaluated on HaCaT cells. Spectroscopic results showing the predominance of apolar aliphatic and aromatic components in HA-LIG, whereas HA-CYN revealed a presence of polysaccharides and polyphenolic lignin residues. The HA application on human keratinocyte pre-treated with Urban Dust revealed a general increase of viability suggesting a protective effect of humic matter due to the content of aromatic, phenolic and lignin components. Conversely, the gene expression of IL-6 and IL-1β cytokines indicated a significant decrease after application of HA-LIG, thus exhibiting a greater antiflammatory power than HA-CYN. The specific combination of HA protective hydrophobic components, viable conformational arrangements, and content of bioactive molecules, suggests an innovative applicability of humic matter in dermatology as skin protectors from environmental irritants and as antiflammatory agents.
Prognostic value and underlying mechanism of autophagy-related genes in bladder cancer
Authors: Peng Shiyuan , Ma Shanjin , Yang Fa , Xu Chao , Li Hongji , Lu Shiqi , Zhang Jingliang , Jiao Jianhua , Han Donghui , Shi Changhong , Zhang Rui , Yang An-Gang , Zhang Keying , Wen Weihong , Qin Weijun 
Published: February 2022

AbstractBladder cancer (BLCA) is the most common malignancy whose early diagnosis can ensure a better prognosis. However, the predictive accuracy of commonly used predictors, including patients’ general condition, histological grade, and pathological stage, is insufficient to identify the patients who need invasive treatment. Autophagy is regarded as a vital factor in maintaining mitochondrial function and energy homeostasis in cancer cells. Whether autophagy-related genes (ARGs) can predict the prognosis of BLCA patients deserves to be investigated. Based on BLCA data retrieved from the Cancer Genome Atlas and ARGs list obtained from the Human Autophagy Database website, we identified prognosis-related differentially expressed ARGs (PDEARGs) through Wilcox text and constructed a PDEARGs-based prognostic model through multivariate Cox regression analysis. The predictive accuracy, independent forecasting capability, and the correlation between present model and clinical variables or tumor microenvironment were evaluated through R software. Enrichment analysis of PDEARGs was performed to explore the underlying mechanism, and a systematic prognostic signature with nomogram was constructed by integrating clinical variables and the aforementioned PDEARGs-based model. We found that the risk score generated by PDEARGs-based model could effectively reflect deteriorated clinical variables and tumor-promoting microenvironment. Additionally, several immune-related gene ontology terms were significantly enriched by PDEARGs, which might provide insights for present model and propose potential therapeutic targets for BLCA patients. Finally, a systematic prognostic signature with promoted clinical utility and predictive accuracy was constructed to assist clinician decision. PDEARGs are valuable prognostic predictors and potential therapeutic targets for BLCA patients.
Chemical composition, antioxidant, and antimicrobial activity of Elsholtzia beddomei C. B. Clarke ex Hook. f. essential oil
Authors: Sripahco Teerapong , Khruengsai Sarunpron , Charoensup Rawiwan , Tovaranonte Jantrararuk , Pripdeevech Patcharee 
Published: February 2022

AbstractThe essential oil of Elsholtzia beddomei C. B. Clarke ex Hook. f. was investigated for its chemical composition and tested for antioxidant and antimicrobial activities. The E. beddomei essential oil was extracted using hydrodistillation for 4 h (yield of 1.38% w/w). Forty-three volatile compounds were identified in the E. beddomei essential oil, including linalool (83.67%), perillaldehyde (4.68%), neral (3.68%), perillene (1.65%), E-caryophyllene (1.55%), and α-zingiberene (1.06%) as the major compounds. The antioxidant activity of the E. beddomei essential oil was determined using 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical and 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical cation scavenging activity. The IC50 values calculated using the DPPH and ABTS methods were 148.31 and 172.22 µg/mL, respectively. In addition, using disc diffusion and broth microdilution methods, the antimicrobial activities of the E. beddomei essential oil against Escherichia coli, Pseudomonas aeruginosa, Enterobacter aerogenes, Staphylococcus aureus, Staphylococcus epidermidis, Bacillus subtilis, and Candida albicans were evaluated. The E. beddomei essential oil possessed an inhibitory effect with the minimum inhibitory concentration in the range of 31.25–250.00 µg/mL among these pathogens. The results indicated that E. beddomei essential oil is an alternative raw material of food, and medicinal products for use in pharmaceutical applications.
Short‐term passenger flow forecasting using CEEMDAN meshed CNN‐LSTM‐attention model under wireless sensor network
Authors: Wang Jiaxuan , Wang Rui , Zeng Xin 
Published: February 2022

AbstractFor a long time, the accurate prediction of passenger flow can provide early warning information for various industries such as the public service industry, tourism industry, and industrial business, thus opportunely arranging passengers and providing homologous services to relieve the overloading of places and the accidents caused by overcrowding of people. In recent years, by using the wireless sensor network to sense the passenger data in advance, the technique of machine learning and neural networks has been utilized to assist the short‐term passenger flow prediction. In this study, building on convolutional neural network (CNN) and long short‐term memory network (LSTM), a complete ensemble empirical mode decomposition with adaptive noise algorithm (CEEMDAN) and attention‐based CNN‐LSTM network to extract both temporal and spatial characteristics of passenger flow data, is proposed. Moreover, the problem of the inaccuracy of the noise part is properly solved by adding the CEEMDAN algorithm to the input layer. With the proposed network structure, the CNN‐LSTM network is replaced with the Conv‐LSTM network to reduce the information loss and get a further performance improvement. The result shows that 39% performance improvement can be achieved than the case with a single LSTM network, and 28% performance improvement can be achieved than the CNN‐LSTM network.
Impact Attenuation and Deformation Characteristics of Dance Floors on Jump Kinematics
Authors: Wyon Matthew Alexander , Horsburgh Robyn , Brown Derrick 
Published: February 2022

AbstractSpecialist dance floors have been promoted to reduce impact forces and reduce lower limb injury for dancers. 18 trained female dancers carried out 70 continuous ballet jumps on 4 different surfaces wearing an XSENS suit. Three specialist dance floors, Floor A (64% force reduction), Floor B (67% force reduction), Floor C (no data) were compared to Floor D (vinyl-covered concrete - control). Dependent variables for each analysed jump (2,3,4, and 67,68,69) were ankle, knee, hip range of movement (ROM); lower and upper leg angular velocities and pelvis vertical acceleration. No main effects were reported for dance floor, first and last jump series. Comparison of the floors against Floor D reported a main effect for the dance floors (p=0.001), first and last jump series (p=0.001). Between-subject effects noted that ankle ROM was significantly greater for trials on floor A (p=0.007) compared to floor D. ROM data significantly decreased between the first and last jump series whilst vertical pelvis accelerations increased except for floor A. Within the current study, a foam backed vinyl floor (C) provided better shock absorption than floors with higher deformation characteristics (A and B) and none of the specialist dance floors performed better than vinyl covered concrete (D).
Imaging Review of Alpine Ski Injuries
Authors: Flores Dyan V. , Murray Timothy É. , Bohyn Cedric , Mohr Bruce , Cresswell Mark 
Published: February 2022

AbstractSkiing is a continuously evolving winter sport, responsible for a considerable number of musculoskeletal injuries. Specific injury patterns and mechanisms in the upper and lower extremities, head, and spine are influenced by skier expertise and skill, position during injury, and environmental conditions. Predilection for certain joints and injury patterns have changed over time, largely due to technological advancements in equipment, increased awareness campaigns, and preventive protocols. Knowledge and understanding of these trends and developments can aid the radiologist to reach a timely and accurate diagnosis, thereby guiding clinical management and potentially reducing the overall incidence of debilitation and death.
Necrotizing Soft Tissue Infections of the Perineum
Authors: Kline Bryan P. , Jeganathan Nimalan A. 
Published: February 2022

AbstractNecrotizing soft tissue infections of the perineum are rapidly progressing infections associated with significant morbidity and mortality. Prompt diagnosis and management with early surgical debridement is necessary to improve survival from this deadly disease. Repeat debridements are not uncommon. Important adjuncts to surgery include broad-spectrum antibiotics and management in an intensive care unit, as patients frequently develop multisystem organ failure. Once the acute phase is managed, fecal diversion with either an ostomy or fecal management catheter can be considered to decrease soiling of the wound and facilitate healing. Long-term management requires meticulous wound care, often with the assistance of negative pressure wound therapy. Patients may ultimately require skin grafts or tissue flaps for soft tissue coverage following extensive surgical debridements.
Risks and Benefits of Breastfeeding in COVID-19: Integrative Literature Review
Authors: Carvalho Ana Clara Alves de , Reis Gabriel Campos Carvalhaes , Oliveira João Guilherme de Moura , Borges Raquel Ferreira 
Published: February 2022

Abstract
Objective The present article seeks to consolidate existing knowledge on breastfeeding during the SARS-CoV-2 pandemic.
Data source Articles from 2020 and 2021 collected from the PubMed, CAPES, Virtual Health Library, Google Scholar, SciELO, and UpToDate databases were analyzed. Books and government documents published in the last decade (2010–2020) were also consulted.
Study Selection Sixteen works were used in the present study. The date of publication and discussion of SARS-CoV-2 transmission through breast milk were the inclusion criteria. Thus, articles containing repeated information or with no relevance to add to the production were excluded. Data collection comprised critical reading and synthesis of the main information obtained on the subject, which were performed for the preparation of the present study. The research took place in the period from March 27 to April 2, 2021.
Synthesis of the data Breast milk has diverse benefits for both the nursing mother and the infant. The presence of viral RNA by real-time polymerase chain reaction (RT-PCR) in milk from disease-positive mothers has been detected in a few cases, and infant infections in these conditions suggest oral transmission of maternal or third-party origin. The virulence of the novel coronavirus in human milk is not confirmed, while significant amounts of exclusive antibodies are.
Conclusion Lactation in the context of COVID-19 has shown greater benefits than risks of vertical transmission. Therefore, it should be encouraged when possible.
Squamous Cell Carcinoma of the Temporal Bone Arising from Cholesteatoma: A Case Report and Review of the Literature
Authors: Yanez-Siller Juan C. , Wentland Carissa , Bowers Kelly , Litofsky N. Scott , Rivera Arnaldo L. 
Published: February 2022

AbstractObjective Present a case of squamous cell carcinoma of the temporal bone (SCCTB) arising in a 61-year-old female with a prior history of cholesteatoma and persistent otologic symptoms and review the current literature regarding this disease presentation.Setting Tertiary academic center.Patient A 61-year-old female with a history of left ear cholesteatoma for which she had undergone surgery 54 years prior. The patient presented with a persistent history of otorrhea since first surgery and developed exacerbation of symptoms just prior to presentation at our department. The clinical picture was highly suspicious of cholesteatoma recurrence. However, the biopsy was consistent with squamous cell carcinoma.Intervention Surgical debulking of the lesion was followed by a brief course of radiation therapy later halted by the patient due to side effect intolerance.Conclusion SCCTB may arise from cholesteatoma. A high index of suspicion for SCCTB should be maintained in patients with a prior history of cholesteatoma and evidence of a temporal bone mass with persistent otologic symptoms.