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  • Article
    Liou YJ, Wang TY, Lee SY, Chang YH, Tsai TY, Chen PS, Huang SY, Tzeng NS, Lee IH, Chen KC, Yang YK, Hong JS, Lu RB.
    Psychoneuroendocrinology. 2023 06;152:106083.
    BACKGROUND: Alcohol use disorder (AUD) is a highly prevalent comorbid disorder in patients with bipolar disorder (BD). Both BD and AUD were found to be associated with inflammation and cognitive deficits, but few study has been done on BD comorbid with AUD (BD+AUD). We aimed to investigate the impacts of comorbid AUD and BD on cognitive function, inflammatory and neurotrophic markers.
    METHOD: We recruited 641 BD patients, 150 patients with BD+AUD, and 185 healthy controls (HC). Neuropsychological tests [Wisconsin card sorting test (WCST), continuous performance test (CPT), and Wechsler memory scale - third edition (WMS-III)] and cytokine plasma levels [tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), interleukin-8 (IL-8), transforming growth factor-β1 (TGF-β1), and brain-derived neurotrophic factor (BDNF)] were assessed.
    RESULTS: BD+AUD patients had worse cognitive performance than those without AUD. There was a significant difference in the plasma levels of TNF-α, IL-8, and BDNF (P < 0.001, <0.001, and 0.01, respectively) between the patients and the HC groups. Post hoc analysis showed that BD+AUD patients had higher levels of TNF-α and IL-8 than BD-only patients (P < 0.001). Additionally, plasma IL-8 levels were negatively associated with number of completed categories in WCST (P = 0.02), and TNF-α levels were negatively associated with visual immediate index in WMS-III (P = 0.05).
    CONCLUSION: Our results suggest that comorbid AUD and BD might worsen cognitive impairments and inflammatory processes. Further longitudinal studies on BD+AUD may be needed.
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  • Article
    Petit B, Marguerite E, Van Elslande E, Nedev H, Iorga BI, Pham VC, Doan TMH, Séron K, Litaudon M, El Kalamouni C, Apel C.
    Fitoterapia. 2024 Jun 17:106083.
    In an extensive screening endeavor for anti-coronaviral compounds, we examined 824 tropical plant extracts from the Annonaceae and Rutaceae families. The screening identified an ethyl acetate extract from the aerial parts of Miliusa balansae for its potent inhibitory activity against Human coronavirus HCoV-229E. Subsequent bioassay-guided fractionation of this extract revealed two unreported miliusanes including a complex dimeric structure and seven known compounds, comprising miliusane XXXVI, (+)-miliusol, bistyryls, styryl-pyranones, and the flavonoid rhamnetin. The absolute configuration of the new dimeric miliusane was determined by X-ray crystallography and a putative biogenetic origin was proposed. Investigation of the antiviral effect of these nine phytochemicals within HCoV-229E-infected Huh-7 cells showed that (+)-miliusol and miliusane XXXVI exert antiviral activity at non-cytotoxic concentrations, with IC50 values of 1.15 μM and 19.20 μM, respectively. Furthermore, these compounds significantly inhibited SARS-CoV-2 infection in Vero cells, presenting IC50 values of 11.31 μM for (+)-miliusol and 17.92 μM for miliusane XXXVI. Additionally, both compounds exhibited a potent antiviral effect against the emergent mosquito-borne Zika virus, with IC50 values of 1.34 μM and 23.45 μM, respectively. Time-of-addition assays suggest that their mechanism of action might target later stages of the viral cycle, indicating potential modulation of specific cellular pathways. These findings reinforce the invaluable contribution of medicinal flora as reservoirs of natural antiviral agents and emphasize their prospective role in combatting viruses of medical interest.
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  • Article
    Huang J, Harris E, Lorch J.
    Oral Oncol. 2022 12;135:106083.
    Patients with recurrent or metastatic NPC are left with limited treatment options. The close association between EBV and NPC make therapeutic vaccination targeting EBV-antigens an emerging new treatment modality. Therapeutic vaccination provides a stimulus to allow the patient to mount their own targeted immune response against the cancer. The two approaches that have led the field into the clinic are dendritic-cell based vaccines and virus-based vaccines. Clinical trials have shown the vaccines to be well-tolerated, and able to elicit a targeted immune response to tumor specific epitopes. Clinical efficacy data, however, is more limited given the early stage of the trials. Other approaches to developing a therapeutic vaccine for NPC include using cancer stem cell lysates, EBV-antigen peptides, and EBV-antigen plasmid DNA. Readout of ongoing trials and progression of preclinical vaccines into Phase I will shed additional light on the efficacy of vaccines and the feasibility of these different approaches to developing a therapeutic vaccine. Future studies may explore combination therapies with multiple vaccines, adoptive T-cell therapy, or checkpoint inhibitors.
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  • Article
    Kraupner N, Ebmeyer S, Hutinel M, Fick J, Flach CF, Larsson DGJ.
    Environ Int. 2020 11;144:106083.
    Antibiotic resistance presents a serious and still growing threat to human health. Environmental exposure levels required to select for resistance are unknown for most antibiotics. Here, we evaluated different experimental approaches and ways to interpret effect measures, in order to identify what concentration of trimethoprim that are likely to select for resistance in aquatic environments. When grown in complex biofilms, selection for resistant E. coli increased at 100 µg/L, whereas there was only a non-significant trend with regards to changes in taxonomic composition within the tested range (0-100 µg/L). Planktonic co-culturing of 149 different E. coli strains isolated from sewage again confirmed selection at 100 µg/L. Finally, pairwise competition experiments were performed with engineered E. coli strains carrying different trimethoprim resistance genes (dfr) and their sensitive counterparts. While strains with introduced resistance genes grew slower than the sensitive ones at 0 and 10 µg/L, a significant reduction in cost was found already at 10 µg/L. Defining lowest effect concentrations by comparing proportion of resistant strains to sensitive ones at the same time point, rather than to their initial ratios, will reflect the advantage a resistance factor can bring, while ignoring exposure-independent fitness costs. As costs are likely to be highly dependent on the specific environmental and genetic contexts, the former approach might be more suitable as a basis for defining exposure limits with the intention to prevent selection for resistance. Based on the present and other studies, we propose that 1 µg/L would be a reasonably protective exposure limit for trimethoprim in aquatic environments.
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  • Article
    Anusha M, Tejaswini V, Udhaya Kumar S, Prashantha CN, Vasudevan K, George Priya Doss C.
    Microb Pathog. 2023 May;178:106083.
    Antimicrobial resistance has caused chaos worldwide due to the depiction of multidrug-resistant (MDR) infective microorganisms. A thorough examination of antimicrobial resistance (AMR) genes and associated resistant mechanisms is vital to solving this problem. Clostridium difficile (C. difficile) is an opportunistic nosocomial bacterial strain that has acquired exogenous AMR genes that confer resistance to antimicrobials such as erythromycin, azithromycin, clarithromycin, rifampicin, moxifloxacin, fluoroquinolones, vancomycin, and others. A network of interactions, including 20 AMR genes, was created and analyzed. In functional enrichment analysis, Cellular components (CC), Molecular Functions (MF), and Biological Processes (BP) were discovered to have substantial involvement. Mutations in the rpl genes, which encode ribosomal proteins, confer resistance in Gram-positive bacteria. Full erythromycin and azithromycin cross-resistance can be conferred if more than one of the abovementioned genes is present. In the enriched BP, rps genes related to transcriptional regulation and biosynthesis were found. The genes belong to the rpoB gene family, which has previously been related to rifampicin resistance. The genes rpoB, gyrA, gyrB, rpoS, rpl genes, rps genes, and Van genes are thought to be the hub genes implicated in resistance in C. difficile. As a result, new medications could be developed using these genes. Overall, our observations provide a thorough understanding of C. difficile AMR mechanisms.
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  • Article
    Wang Y, Wang X, Li Y, Xue Z, Shao R, Li L, Zhu Y, Zhang H, Yang J.
    Pharmacol Res. 2022 02;176:106083.
    The pathogenic hyper-inflammatory response has been revealed as the major cause of the severity and death of the Corona Virus Disease 2019 (COVID-19). Xuanfei Baidu Decoction (XFBD) as one of the "three medicines and three prescriptions" for the clinically effective treatment of COVID-19 in China, shows unique advantages in the control of symptomatic transition from moderate to severe disease states. However, the roles of XFBD to against hyper-inflammatory response and its mechanism remain unclear. Here, we established acute lung injury (ALI) model induced by lipopolysaccharide (LPS), presenting a hyperinflammatory process to explore the pharmacodynamic effect and molecular mechanism of XFBD on ALI. The in vitro experiments demonstrated that XFBD inhibited the secretion of IL-6 and TNF-α and iNOS activity in LPS-stimulated RAW264.7 macrophages. In vivo, we confirmed that XFBD improved pulmonary injury via down-regulating the expression of proinflammatory cytokines such as IL-6, TNF-α and IL1-β as well as macrophages and neutrophils infiltration in LPS-induced ALI mice. Mechanically, we revealed that XFBD treated LPS-induced acute lung injury through PD-1/IL17A pathway which regulates the infiltration of neutrophils and macrophages. Additionally, one major compound from XFBD, i.e. glycyrrhizic acid, shows a high binding affinity with IL17A. In conclusion, we demonstrated the therapeutic effects of XFBD, which provides the immune foundations of XFBD and fatherly support its clinical applications.
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  • Article
    Di Maio S, Keller J, Kwasnicka D, Knoll N, Sichert L, Fleig L.
    Appetite. 2022 Aug 01;175:106083.
    BACKGROUND: High automaticity in healthy nutrition behaviors is related to long-term maintenance of these behaviors. Drawing upon theoretical frameworks of habit formation, proposed antecedents such as intrinsic reward, anticipated regret, and self-efficacy are important correlates of automaticity, but not much is known about their day-by-day relationships with automaticity in healthy nutrition behaviors. This study tested previous-day within-person (i.e., from one day to the next) and same-day within-person associations of intrinsic reward, anticipated regret, and self-efficacy with automaticity of a healthy nutrition behavior, for which participants attempted to form a new habit.
    METHODS: Secondary analyses of a randomized controlled trial with two planning intervention conditions including a longitudinal sample of n = 135 participants (age: M = 24.82 years; SD = 7.27) are reported. Participants formed a plan on a self-selected healthy nutrition behavior to become a new habit and were followed up over 12 weeks assessing daily levels of plan-specific intrinsic reward, anticipated regret, self-efficacy, and automaticity. Lagged multilevel models with 84 study days nested in participants estimated previous-day within-person, same-day within-person, and between-person relationships of intrinsic reward, anticipated regret, and self-efficacy with automaticity.
    FINDINGS: Regarding within-level relationships, higher-than-usual levels of intrinsic reward, anticipated regret, and self-efficacy of the same day but not of the previous day were associated with higher within-person automaticity. With respect to between-level relationships, higher between-levels (i.e., higher person mean levels across the study period) of intrinsic reward, anticipated regret, and self-efficacy were linked with higher automaticity.
    DISCUSSION: Findings point towards the potential to intervene on intrinsic reward, anticipated regret, and self-efficacy when aiming to promote a new healthy nutrition habit.
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  • Article
    Stein E, Witkiewitz K.
    Addict Behav. 2019 12;99:106083.
    To more fully understand recovery from alcohol use disorder, we must consider several ways in which reductions in drinking and improvements in psychosocial functioning may occur. Previous research has demonstrated various patterns of drinking and functioning during and after behavioral treatment for alcohol use disorder, including groups of individuals who consume alcohol at low-risk levels and those that report occasional heavy drinking yet good psychosocial functioning. This study aimed to identify whether trait self-control, which has previously been associated with alcohol treatment outcomes, was a predictor of drinking patterns during treatment as well as three years following treatment. Latent variable mixture modeling was used to identify seven classes of drinking patterns during treatment and four profiles of drinking and psychosocial function after treatment. We found that membership in the low-risk drinking class was predicted by greater trait self-control than several of the other classes, including the consistent abstinence class. Furthermore, we found that greater trait self-control predicted membership in two high-functioning recovery profiles at three years following treatment, including a high functioning occasional heavy drinking profile. These findings suggest that self-control is an important predictor of recovery, particularly for a non-abstinent recovery.
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  • Article
    Azizah USA, Mulyono H.
    Data Brief. 2020 Oct;32:106083.
    The dataset examines three factors (i.e. financial literacy, self-control, peer-influence) that influence investment behaviour amongst young Indonesian millennials. Using a non-probability sampling technique, a total of 265 young millennials attending Investment Gallery seminar and workshop events in Jakarta, Indonesia completed an investment behaviour survey. The reflective measurement was performed using the Partial Least Square Structural Equation Model (PLS-SEM) to the screened data from the survey (N = 213). The measurement includes the evaluation of outer loading, internal reliability, and convergent reliability. The final equation model was evaluated and estimated using SmartPLS v.3.3.2 program. The dataset is beneficial for companies seeking for potential investors from young millennials. The dataset also provides valuable insights for the Indonesian Ministry of Education and Culture (MoEC) and universities, particularly the faculty of economy and business in preparing their students with the financial literacy and investment knowledge.
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  • Article
    Liu R, Lin J, Li P.
    Contemp Clin Trials. 2020 09;96:106083.
    Immuno-oncology (IO) and cell therapy, the frontier of cancer treatment, is a rapidly developing area that brings new opportunities to patients. In IO and cell therapy clinical trial development, it is critical to identify the right dose level in early phase of trials thus improving the probability of success in confirmatory trials to test the superiority over other therapies. Given the complex mechanism interacting with immune system for IO drugs especially cell therapy, the traditional oncology dose finding trial designs may not serve the purpose. Specifically, it is questionable to believe the monotone relationship between dose level and safety/efficacy, which will likely result in inappropriate dose selection using designs with monotone assumption. Additionally, considering the immune system pathway, designs ignoring the heterogeneity of the patient populations may provide misleading dose decisions, which could be either unsafe or lead to selection mistakes for targeted population. Therefore, in our paper, we review and present the limitations of the traditional dose finding designs. Then we discuss improved dose finding designs that consider both safety and efficacy outcomes simultaneously. Furthermore, we propose novel dose finding designs for multiple populations: BNP-mTPI and fBNP-mTPI, which extend the modified toxicity probability interval designs by utilizing Bayesian non-parametric priors. The proposed designs consider patient population differences meanwhile flexibly borrowing information across populations with similar profiles to improve the efficiency of dose search and accuracy of estimation of optimal dose level. Simulations are provided to demonstrate the model performance. Finally, we conclude the recommendations for IO and cell therapy dose finding designs in the discussion and offer insights for future research direction.
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  • Article
    Xu B, Sylvain Tiliwa E, Wei B, Wang B, Hu Y, Zhang L, Mujumdar AS, Zhou C, Ma H.
    Ultrason Sonochem. 2022 Aug;88:106083.
    This study evaluated the effect of mono-frequency ultrasound (MFU, 20 kHz), dual-frequency ultrasound (DFU, 20/40 kHz), and tri-frequency ultrasound (TFU, 20/40/60 kHz) on mass transfer, drying kinetics, and quality properties of infrared-dried pineapple slices. Pretreatments were conducted in distilled water (US), 35 °Brix sucrose solution (US-OD), and 75% (v/v) ethanol solution (US-ET). Results indicated that ultrasound pretreatments modified the microstructure of slices and shortened drying times. Compared to the control group, ultrasound application reduced drying time by 19.01-28.8% for US, 15.33-24.41% for US-OD, and 38.88-42.76% for US-ET. Tri-frequency ultrasound provoked the largest reductions, which exhibited time reductions of 6.36-11.20% and better product quality compared to MFU. Pretreatments increased color changes and loss of bioactive compounds compared to the control but improved the flavor profile and enzyme inactivation. Among pretreated sample groups, US-OD slices had lower browning and rehydration abilities, higher hardness values, and better retention of nutrients and bioactive compounds. Therefore, the combination of TFU and osmotic dehydration could simultaneously improve ultrasound efficacy, reduce drying time, and produce quality products.
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  • Article
    Duan X, Li H, Tan X, Liu N, Wang X, Zhang W, Liu Y, Ma W, Wu Y, Ma L, Fan Y.
    Vet J. 2024 04;304:106083.
    Transmissible gastroenteritis virus (TGEV) is an important pathogen capable of altering the expression profile of cellular miRNA. In this study, the potential of Polygonum cillinerve polysaccharide (PCP) to treat TGEV-infected piglets was evaluated through in vivo experiments. High-throughput sequencing technology was employed to identify 9 up-regulated and 17 down-regulated miRNAs during PCP-mediated inhibition of TGEV infection in PK15 cells. Additionally, miR-181 was found to be associated with target genes of key proteins in the apoptosis pathway. PK15 cells were treated with various concentrations of PCP following transfection with miR-181 mimic or inhibitor. Real-time PCR assessed the impact on TGEV replication, while electron microscopy (TEM) and Hoechst fluorescence staining evaluated cellular functionality. Western blot analysis was utilized to assess the expression of key signaling factors-cytochrome C (cyt C), caspase 9, and P53-in the apoptotic signaling pathway. The results showed that compared with the control group, 250 μg/mL PCP significantly inhibited TGEV gRNA replication and gene N expression (P < 0.01). Microscopic examination revealed uniform cell morphology and fewer floating cells in PCP-treated groups (250 and 125 μg/mL). TEM analysis showed no typical virus structure in the 250 μg/mL PCP group, and apoptosis staining indicated a significant reduction in apoptotic cells at this concentration. Furthermore, PCP may inhibit TGEV-induced apoptosis via the Caspase-dependent mitochondrial pathway following miR-181 transfection. These findings provide a theoretical basis for further exploration into the mechanism of PCP's anti-TGEV properties.
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  • Article
    Carli S, Chaabane L, De Rocco G, Albizzati E, Sormonta I, Calligaro S, Bonizzi P, Frasca A, Landsberger N.
    Neurobiol Dis. 2023 05;180:106083.
    Rett syndrome (RTT) is a X-linked neurodevelopmental disorder which represents the leading cause of severe incurable intellectual disability in females worldwide. The vast majority of RTT cases are caused by mutations in the X-linked MECP2 gene, and preclinical studies on RTT largely benefit from the use of mouse models of Mecp2, which present a broad spectrum of symptoms phenocopying those manifested by RTT patients. Neurons represent the core targets of the pathology; however, neuroanatomical abnormalities that regionally characterize the Mecp2 deficient mammalian brain remain ill-defined. Neuroimaging techniques, such as MRI and MRS, represent a key approach for assessing in vivo anatomic and metabolic changes in brain. Being non-invasive, these analyses also permit to investigate how the disease progresses over time through longitudinal studies. To foster the biological comprehension of RTT and identify useful biomarkers, we have performed a thorough in vivo longitudinal study of MRI and MRS in Mecp2 deficient mouse brains. Analyses were performed on both genders of two different mouse models of RTT, using an automatic atlas-based segmentation tool that permitted to obtain a detailed and unbiased description of the whole RTT mouse brain. We found that the most robust alteration of the RTT brain consists in an overall reduction of the brain volume. Accordingly, Mecp2 deficiency generally delays brain growth, eventually leading, in heterozygous older animals, to stagnation and/or contraction. Most but not all brain regions participate in the observed deficiency in brain size; similarly, the volumetric defect progresses diversely in different brain areas also depending on the specific Mecp2 genetic lesion and gender. Interestingly, in some regions volumetric defects anticipate overt symptoms, possibly revealing where the pathology originates and providing a useful biomarker for assessing drug efficacy in pre-clinical studies.
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  • Article
    Jiang Q, Chen J, Long X, Yao X, Zou X, Yang Y, Huang G, Zhang H.
    Int Immunopharmacol. 2020 Feb;79:106083.
    The neuroinflammatory response induced by microglia plays a vital role in causing secondary brain damage after traumatic brain injury (TBI). Previous studies have found that the improved regulation of activated microglia could reduce neurological damage post-TBI. Phillyrin (Phi) is one of the main active ingredients extracted from the fruits of the medicinal plant Forsythia suspensa (Thunb.) with anti-inflammatory effects. Our study attempted to investigate the effects of phillyrin on microglial activation and neuron damage after TBI. The TBI model was applied to induce brain injury in mice, and neurological scores, brain water content, hematoxylin and eosin staining and Nissl staining were employed to determine the neuroprotective effects of phillyrin. Immunofluorescent staining and western blot analysis were used to detect nuclear factor-kappa B (NF-κB) and peroxisome proliferator-activated receptor gamma (PPARγ) expression and nuclear translocation, and the inflammation-related proteins and mRNAs were assessed by western blot analysis and quantitative real-time PCR. The results revealed that phillyrin not only inhibited the proinflammatory response induced by activated microglia but also attenuated neurological impairment and brain edema in vivo in a mouse TBI model. Additionally, phillyrin suppressed the phosphorylation of NF-κB in microglia after TBI insult. These effects of phillyrin were mostly abolished by the antagonist of PPARγ. Our results reveal that phillyrin could prominently inhibit the inflammation of microglia via the PPARγ signaling pathway, thus leading to potential neuroprotective treatment after traumatic brain injury.
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  • Article
    Jiglau G, Bouzarovski S, Dubois U, Feenstra M, Gouveia JP, Grossmann K, Guyet R, Herrero ST, Hesselman M, Robic S, Sareen S, Sinea A, Thomson H.
    iScience. 2023 Mar 17;26(3):106083.
    Energy poverty is a far-reaching concept that intrinsically bridges numerous fields of study, ranging from engineering to anthropology and medical science to social psychology. The profound implications of energy poverty on the quality of life globally have also led to a wide range of metrics and policies aimed at measuring it and alleviating it, albeit with limited success. Using a mixed methods approach, our network has conducted research to advance knowledge and interpretations of energy poverty and boost scientific outputs' capacity to shape knowledge-based policies. In this article, we critically review this extensive research endeavor, as well as its results. We build on the conceptual, methodological, and policy dimensions of energy poverty research to set up pathways toward a new, interdisciplinary research and policy agenda on energy poverty mitigation better equipped to provide meaningful answers to the challenges posed by the current ongoing energy crisis.
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  • Article
    Boto-García D.
    Econ Model. 2023 Jan;118:106083.
    Following a pandemic disease outbreak, people travel to areas with low infection risk, but at the same time the epidemiological situation worsens as mobility flows to those areas increase. These feedback effects from epidemiological conditions to inflows and from inflows to subsequent infections are underexplored to date. This study investigates the two-way relationship between mobility flows and COVID-19 cases in a context of unrestricted mobility without COVID-19 vaccines. To this end, we merge data on COVID-19 cases in Spain during the summer of 2020 at the province level with mobility records based on mobile position tracking. Using a control function approach, we find that a 1% increase in arrivals translates into a 3.5% increase in cases in the following week and 5.6% ten days later. A simulation exercise shows the cases would have dropped by around 64% if the Second State of Alarm had been implemented earlier.
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  • Article
    Rocha T, Rattes C, Morais C, Souza R, Rolim N, Brandão S, Fink JB, Dornelas de Andrade A.
    Respir Med. 2020 09;171:106083.
    BACKGROUND: Obesity is a highly prevalent condition worldwide that aggravates symptoms of already existing conditions such as asthma and COPD. The limited effectiveness of inhaled medications in these individuals may be related to anatomic characteristics of their upper airways, mainly due to compressive factors.
    METHODS: Controlled clinical trial with obese and nonobese individuals. The following variables were evaluated: anthropometric characteristics, Lung and airway deposition of radiolabeled aerosol (pulmonary scintigraphy), upper airways anatomy (CT scans), and modified Mallampati score.
    RESULTS: 29 subjects (17 nonobese and 12 obese) participated. Obese volunteers presented 30% lower aerosol lung deposition compared to nonobese. Moreover, obese subjects Mallampati classification of 4 presented an aerosol lung deposition two times lower than nonobese subjects (p = 0.021). The cross-sectional area of the retropalatal region and retroglossal region were lower in obese patients (p < 0.05), but no correlation to aerosol lung deposition was observed. BMI was associated with 32% of the variance of lung deposition (p < 0.001; β -0.28; 95% CI -0.43 to -0.11).
    CONCLUSION: High BMI correlated to reduced percentage lung deposition. Also, modified Mallampati class 4 was even more detrimental to aerosol delivery into the lungs. Obese subjects have narrower upper airways, compared to nonobese, but this is not reflected in higher radiolabeled aerosol impaction into their oropharynx and does not predict the percentage of lung deposition in this group.
    CLINICAL TRIAL REGISTRATION: NCT03031093 (clinicaltrials.org).
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  • Article
    Pal D, Reddy PB, Roy S.
    Comput Biol Med. 2022 11;150:106083.
    BACKGROUND AND OBJECTIVE: Automatic segmentation and annotation of medical image plays a critical role in scientific research and the medical care community. Automatic segmentation and annotation not only increase the efficiency of clinical workflow, but also prevent overburdening of radiologists. The objective of this work is to improve the accuracy and give a probabilistic map for automatic annotation from small data set to reduce the use of tedious and prone to error manual annotations from chest X-rays.
    METHOD: In this paper, we have proposed an attention UW-Net, which introduces an intermediate layer acting as a bridge between the encoder and decoder pathways. The intermediate layer is a series of fully connected convolutional layers generated from the upsampling of the final encoder layer connected to the corresponding up sampled and down sampled blocks via skip-connections. The intermediate layer is further connected to the decoder pathway using a downsampling layer.
    RESULTS: The proposed attention UW-Net is giving a very good performance, achieving an average F1-score of 95.7%, 80.9%, 81.0% and 77.6% for lung (large), heart (medium), trachea (small), and collarbone (small) object segmentations, respectively. The attention UW-Net outperforms not only in comparison to U-Net and its variations but also with respect to other standard recent automatic and semi-automatic segmentation/annotation models. An ablation study was also performed to find the best suited high-performing architecture.
    CONCLUSION: The uniformity in prediction accuracy of segmentation masks for all kinds of segmentation masks (large, medium, and small lesions) makes this model best for automatic annotation of organs.
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  • Article
    Brophy JE, Park J, Bowman AS, Roe BE, Nolting JM.
    Prev Vet Med. 2024 Jan;222:106083.
    Influenza A virus transmission between pigs and humans has been reported periodically worldwide, and spillover events across the animal-human species barrier could lead to the next influenza pandemic. Swine exhibitions serve as a unique interface conducive to zoonotic disease transmission due to extensive commingling of pigs and humans for prolonged periods of time. The majority of zoonotic influenza A virus transmission in the United States has been linked to swine exhibitions, leading some to suggest additional controls for influenza A virus at the swine-human interface. Determining the value of the exhibition swine industry and gauging the financial impacts influenza A virus outbreaks could have on society, helps to inform adoption decisions of mitigation recommendations. This study estimates the total value of the exhibition swine industry in the United States and calculates the predicted costs of the most extreme mitigation strategy, cancelling swine exhibitions to reduce zoonotic influenza A virus transmission. Mixed methods, including a survey, were used to collect data and inform the study model. We estimated that the direct economic impact of the exhibition swine sector in 2018 was $1.2 billion. If pig shows were to be cancelled for one year, the estimated direct economic impact would be $357.1 million. A permanent, > 3-year ban on swine exhibitions would result in a $665 million economic impact, which is a 45% reduction from baseline. The direct economic impact of cancelling the swine show circuit could not be determined, as youth exhibitors may pursue alternative activities that cannot be precisely accounted for. However, the estimated loss to the swine industry justifies seeking enhanced mitigation to prevent disease transmission. Moreover, economic losses secondary to exhibition cancellations may explain hesitancy to participate in active influenza A virus surveillance efforts.
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  • Article
    Wang T, Mu W, Cui N.
    Accid Anal Prev. 2021 May;154:106083.
    Prior studies have shown that driver education can reduce traffic violations. However, few studies have examined how driving break between driver education and owning a car influences novice drivers' traffic violations. The main objective of this study is to examine the association between driving break and traffic violations. Data from 356,786 drivers with a total of 978,855 violations during their first year of driving were extracted from the Wuhan Traffic Management Bureau. Specifically, we focused on three outcome measures: time length of first traffic violation, severity of first traffic violation, and number of traffic violations in the first year of driving. The results indicated that driving break accelerated the occurrence of the first traffic violation but reduced its severity. The results also showed that driving break was significantly related to an increase in traffic violations during the first year of driving. The detrimental effects of driving break on the time length of first traffic violation and the number of traffic violations in the first year of driving were attenuated in older age groups. The inhibitory effect of driving break on serious violations was stronger in older age groups. The findings support that the effectiveness of driver education will fade over time if one does not consolidate the learned knowledge and skills through practice.
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