Mycoplasma genitalium infections among participants in a HIV pre-exposure prophylaxis program in Hanoi, Vietnam.

BACKGROUND: Mycoplasma genitalium causes a sexually transmitted infection and is also emerging as an important antimicrobial resistant pathogen. Data on M. genitalium infections among men who have sex with men (MSM) in low-resource settings are sparse. METHODS: From January to December 2022, participants in an HIV pre-exposure prophylaxis (PrEP) program in Hanoi, Vietnam were enrolled into the study. Demographic, behavioral, and clinical characteristics were collected. Self-collected urine, rectal, and pharyngeal specimens were tested for M. genitalium using the Alinity m STI Assay (Abbott Molecular, USA). Univariate and multivariate logistic regression were performed to assess for factors associated with infections. RESULTS: Among 477 participants, the median age was 25.3 years (21.7-29.6) and 92.2% (n = 440) identified as MSM; 48.6% had ≥2 sex partners and 38.1% reported condomless anal sex in the prior month. The overall prevalence of M. genitalium infection was 10.9% (52/477); 7.3% (34/464) rectal, 3.2% (15/476) urethral, and 1.9% (9/476) pharyngeal. Infections were asymptomatic in 71.2% (37/52). Among those with M. genitalium, 30.7% (16/52) were co-infected with either N. gonorrhoeae or C. trachomatis. Among those reporting rectal (n = 51) or urethral (n = 35) symptoms, but without C. trachomatis or N. gonorrhoeae co-infections, five (9.8%) had rectal infections and one (2.9%) had urethral infection. Participants with M. genitalium were more likely to be asymptomatic than participants without M. genitalium (aOR 1.93; 95% CI 1.01-3.71). CONCLUSIONS: M. genitalium infections were common among primarily MSM engaged in an HIV PrEP program in Vietnam. The prevalence was highest in rectal specimens and nearly three quarters of M. genitalium infections were asymptomatic. Testing for M. genitalium infections among those with symptoms is important to enable pathogen-directed therapy. Additional research on antimicrobial resistance and treatment strategies for M. genitalium in low-resource settings is needed.

Self-management practice of people with epilepsy in Viet Nam and associated factors.

OBJECTIVES: This study aimed to determine (1) the self-management practice of people with epilepsy and (2) the associated factors, including sociodemographic and clinical variables. METHODS: This cross-sectional descriptive study was conducted at two neurology clinics in Ho Chi Minh City from October 2022 to June 2023. We included 147 adults with epilepsy and measured their self-management practices using the Vietnamese Epilepsy Self-Management Scale (V-ESMS). Additionally, we collected data on sociodemographic, clinical, and psychosocial variables through questionnaires. RESULTS: Results showed a moderate overall V-ESMS score (131.32 ± 16.53), with Medication management subscale scoring the highest and Information management scoring the lowest. Univariate analysis revealed educational level as the significant factor influencing self-management practices (p = 0.001), with higher education correlating with better scores across all subscales except Medication and Safety. CONCLUSION: Individuals with epilepsy who achieved higher education levels had better self-management practices. This finding suggests that educational interventions could significantly enhance self-management practices among people with epilepsy.

Epilepsy self-management mobile health application: A needs assessment in people with epilepsy and caregivers in Viet Nam.

OBJECTIVES: This study aimed to determine (1) the needsof Vietnamese people with epilepsy (PWE) and their caregivers for self-management mobile health applications and (2) the self-management features expected to be included in an application. METHODS: The survey consisted of an anonymous self-administered questionnaire that was distributed to PWE and caregivers from the age of 18 in Vietnam through online platforms and onsite at Nguyen Tri Phuong Hospital and University Medical Center, Ho Chi Minh City, from February 2022 to May 2022. The questionnaire assessed the participants' attitudes toward epilepsy self-management mobile applications, their willingness to use applications, and their expectations of the contents of an application. RESULTS: Responses from 103 participants were submitted. Eighty-one participants (78.6%) reported using a smartphone, but only 50.6% of those claimed to know about self-management applications. Most respondents (70.9%) thought the applications would be useful for disease self-management, and 68.9% were willing to use epilepsy self-management applications. In addition, the most expected features to be included in self-management applications were epilepsy information, seizure first aid, connecting with medical professionals, and a seizure diary. CONCLUSION: Most Vietnamese PWE and caregivers had a willingness to use epilepsy self-management applications.The expected features are related to all aspects of self-management, including information, seizure, medication, and safety management.

Synthetic Studies toward 5,6,7,3',4'-Monomethoxytetrahydroxyflavones: Synthesis of Pedalitin.

During the synthetic studies toward 5,6,7,3',4'-monomethoxytetrahydroxyflavones, a concise pedalitin synthesis procedure was achieved. As previously reported, 6-hydroxy-2,3,4-trimethoxyacetophenone was prepared by Friedel-Crafts acylation of 1,4-dihydroxy-2,6-dimethoxybenzene with boron trifluoride diethyl etherate in acetic acid. When aldol condensation of 6-hydroxy-2,3,4-trimethoxyacetophenone 2b with vanillin was performed in basic conditions, it produced 2'-hydroxychalcone 3b, and, surprisingly, along with 3-hydroxyflavone 4 in a considerable amount. We propose that this oxidative cyclization is presumably due to the contribution of a quinone methide, likely to be subjected to aerobic oxidation. The chalcone was then subjected to oxidative cyclization with iodine in dimethyl sulfoxide to afford flavone 5 in good yield. To our delight, serial demethylation of the three methoxy groups at the 5-, 6-, and 3'-positions of 5 proceeded smoothly to produce pedalitin 1, under hydrogen bromide solution (30% in acetic acid). The crystal structures of 3-hydroxyflavone 4 and pedalitin tetraacetate 6 were unambiguously determined by X-ray crystallography.

N-terminal LysSN-His-tag improves the production of intracellular recombinant protein in Bacillus subtilis.

Choosing fusion tags to enhance the recombinant protein levels in the cytoplasm of Bacillus subtilis has been limited. Our previous study demonstrated that His-tag at the N-terminus could increase the expression levels of the low-expression gene egfp, while significantly reducing the high-expression genes gfp+ and bgaB in the cytoplasm of B. subtilis. In this study, we aimed to prove the potential of a fusion tag, the combination of the N-terminal domain of B. subtilis lysyl tRNA synthetase (LysSN) and His-tag with varying numbers of histidine (6xHis, 8xHis, 10xHis) by investigating their effects on the expression levels of egfp, gfp+ and bgaB in B. subtilis. For the low-expression gene, LysSN-xHis-tag could enhance the fluorescent intensity of EGFP 23.5 times higher than EGFP without a fusion tag, and 1.5 times higher than that fused with only His-tag. For high-expression genes, the expression level of BgaB and GFP+ was 2.9 and 12.5 times higher than that of His-tag, respectively. The number of histidines in LysSN-xHis-tag did not influence the expression levels of the high-expression genes but affected the expression levels of the low-expression gene.

IL-36G promotes cancer-cell intrinsic hallmarks in human gastric cancer cells.

Interleukin-36 gamma (IL-36G) is a member of the IL-36 subfamily of cytokines and acts as a potent driver of inflammation. IL-36G has been extensively characterized in the pathogenesis of psoriasis and has been recently described to play roles in wound healing particularly in the gastrointestinal tract. However, the effects of IL-36G during cancer development including gastric cancer remain unexplored. Here, we show that IL-36G induced ERK1/2 activation in AGS, MKN1 and MKN45 human gastric cancer cell lines. Moreover, IL-36G induced colony formation, migration and invasion of these gastric cancer cell lines that was inhibited by the natural antagonist, IL-36 receptor antagonist (RA). Interrogation of TCGA stomach adenocarcinoma patient datasets revealed highly elevated IL-36G gene expression in human gastric cancer compared to normal tissue independent of tumor stage, and high IL-36G expression corresponded with poorer patient survival. Collectively, our results indicate for the first time that IL-36G supports a neoplastic phenotype in human gastric cancer cells.

Fast and Sensitive Real-Time PCR Detection of Major Antiviral-Drug Resistance Mutations in Chronic Hepatitis B Patients by Use of a Predesigned Panel of Locked-Nucleic-Acid TaqMan Probes.

We developed a novel real-time PCR assay that simultaneously evaluates 11 major nucleos(t)ide antiviral (NA) drug resistance mutations (mt) in chronic hepatitis B patients (CHB), including L180M, M204I/V, and V207M (lamivudine [LMV] resistance), N/H238A/T (adefovir [ADF] resistance), which are circulating in Vietnam; and T184G/L, S202I, and M250V (entecavir [ETV] resistance) and A194T (tenofovir resistance), which have been recently reported in several studies across the globe. We detected drug-resistant mt in hepatitis B virus (HBV) samples using our predesigned panel of allele-specific locked-nucleic acid (LNA) probes. Our assay had a high sensitivity of 5% in a low-HBV DNA population of ≥5 × 103 IU/ml and was validated in a cohort of 130 treatment-naive children and 98 NA-experienced adults with CHB. Single-point mt for LMV and ADF resistance were detected in 57.7% and 54.1% of the child and adult samples, respectively, with rtV207M (children, 42.3%; adults, 36.7%) and rtN238T/A (children, 15.4%; adults, 16.3%) being the most frequent mt in these populations. Multiple-point mt, including rtL180M-rtM204V- rtN238A and rtL180M-rtM204I, were identified in only two children, resulting in LMV-ADF resistance and reduced ETV susceptibility. In conclusion, this assay accurately identified the mt profile of children (98.4%) and adults (91.2%) with CHB, which is comparable to established methods. This fast and sensitive screening method can be used for the detection of major NA-resistant mt circulating in developing countries, as well as providing a model for the development of similar mt-detection assays, especially for use in nonhospitalized patients who need their results within half a day, before starting treatment.

Respiratory microbes detected in hospitalized adults with acute respiratory infections: associations between influenza A(H1N1)pdm09 virus and intensive care unit admission or fatal outcome in Vietnam (2015-2017).

BACKGROUND: Acute respiratory tract infection (ARI) is a leading cause of hospitalization, morbidity, and mortality worldwide. Respiratory microbes that were simultaneously detected in the respiratory tracts of hospitalized adult ARI patients were investigated. Associations between influenza A(H1N1)pdm09 virus (H1N1pdm) detection and intensive care unit (ICU) admission or fatal outcome were determined. METHODS: This prospective observational study was conducted between September 2015 and June 2017 at Bach Mai Hospital, Hanoi, Vietnam. Inclusion criteria were hospitalized patients aged ≥15 years; one or more of symptoms including shortness of breath, sore throat, runny nose, headache, and muscle pain/arthralgia in addition to cough and fever > 37.5 °C; and ≤ 10 days from the onset of symptoms. Twenty-two viruses, 11 bacteria, and one fungus in airway specimens were examined using a commercial multiplex real-time PCR assay. Associations between H1N1pdm detection and ICU admission or fatal outcome were investigated by univariate and multivariate logistic regression analyses. RESULTS: The total of 269 patients (57.6% male; median age, 51 years) included 69 ICU patients. One or more microbes were detected in the airways of 214 patients (79.6%). Single and multiple microbes were detected in 41.3 and 38.3% of patients, respectively. Influenza A(H3N2) virus was the most frequently detected (35 cases; 13.0%), followed by H1N1pdm (29 cases; 10.8%). Hematological disease was associated with ICU admission (p < 0.001) and fatal outcomes (p < 0.001) using the corrected significance level (p = 0.0033). Sex, age, duration from onset to sampling, or number of detected microbes were not significantly associated with ICU admission or fatal outcomes. H1N1pdm detection was associated with ICU admission (odds ratio [OR] 3.911; 95% confidence interval [CI] 1.671-9.154) and fatal outcome (OR 5.496; 95% CI 1.814-16.653) after adjusting for the confounding factors of comorbidities, bacteria/Pneumocystis jirovecii co-detection, and age. CONCLUSIONS: H1N1pdm was associated with severe morbidity and death in adult patients hospitalized with respiratory symptoms. The diagnosis of subtype of influenza virus may be epidemiologically important.

Patient Health Questionnaire (PHQ-9): A depression screening tool for people with epilepsy in Vietnam.

BACKGROUND: Depression is a common mental disorder in people with epilepsy. Depression has a negative impact on medical and surgical treatment of epilepsy thus affecting the quality of life. Despite its high prevalence, depression has been under-recognized and treated improperly. It may also lead to missed work, increased healthcare system utilization, and higher direct medical costs. OBJECTIVES: This study aimed to evaluate the accuracy of the Vietnamese Patient Health Questionnaire (PHQ-9) as a screening tool for depression in people with epilepsy. METHODS: This cross-sectional study was conducted prospectively at epilepsy clinic at Nguyen Tri Phuong hospital, Ho Chi Minh City, Viet Nam from December 2019 to March 2020. A total of 91 adult people with epilepsy were recruited. After completing the Vietnamese PHQ-9 questionnaires, each participant was interviewed in a structured clinical interview for DSM-5 (SCID-5) to establish a diagnosis of major depressive disorder. The diagnostic accuracy of the PHQ-9 was assessed using diagnostic efficiency statistics compared with the gold standard structured interview. RESULTS: The prevalence of major depression in this sample was 25.3%. The areas under receiver operating characteristic (ROC) curve index of PHQ-9 had an estimated value of 0.91. The PHQ-9 at a cutoff point of 8 had the great overall balance of sensitivity (87.0%) and specificity (82.4%). At the cutoff point of 10, PHQ-9 had a higher specificity of 94.1%, but a lower sensitivity of 78.0%. CONCLUSIONS: The Vietnamese version PHQ-9 is an efficient and valid screening tool for depression in people with epilepsy in clinic settings.

Impact of Different Mixing Methods on the Performance of Suspension-Based Transdermal Delivery Systems.

Suspension-based matrix transdermal delivery systems (TDSs) are specialized systems that maintain a continuous driving force for drug delivery over prolonged wear. The pressure-sensitive adhesive (PSA) is the most critical constituent of such systems. Our study aimed to determine the effect of different mixing methods on the performance of silicone PSA-based suspension TDSs. Lidocaine suspension TDSs were prepared using conventional slow rotary mixing, high-speed homogenization, bead-mill homogenization, vortex shaking, and by an unguator. Resultant TDSs were tested for tack, shear, and peel properties and correlated to coat weight, content uniformity, microstructure, and in vitro permeation across dermatomed human skin. Every mixing method tested caused a significant reduction in peel. However, bead-mill homogenization resulted in significant loss of all adhesive properties tested, while unguator-mixed TDSs retained most properties. Good linear correlation (R2 = 1.000) between the shear properties of the TDSs with the average cumulative amount of lidocaine permeated after 24 h was observed, with no significant difference between percutaneous delivery from slow rotary-mixed systems (1334 ± 59.21 µg/cm2) and unguator-mixed systems (1147 ± 108.3 µg/cm2). However, significantly lower delivery from bead-mill homogenized systems (821.1 ± 28.00 µg/cm2) was noted. While many factors affect TDS performance, careful consideration must also be given to the processing parameters during development as they have been shown to affect the resultant system's therapeutic efficacy. Extensive mixing with bead-mill homogenization demonstrated crystallization of drug, loss in adhesive properties, coat weight, and film thickness, with reduced transdermal delivery of lidocaine from the prepared system.

CarcassFormer: an end-to-end transformer-based framework for simultaneous localization, segmentation and classification of poultry carcass defect.

In the food industry, assessing the quality of poultry carcasses during processing is a crucial step. This study proposes an effective approach for automating the assessment of carcass quality without requiring skilled labor or inspector involvement. The proposed system is based on machine learning (ML) and computer vision (CV) techniques, enabling automated defect detection and carcass quality assessment. To this end, an end-to-end framework called CarcassFormer is introduced. It is built upon a Transformer-based architecture designed to effectively extract visual representations while simultaneously detecting, segmenting, and classifying poultry carcass defects. Our proposed framework is capable of analyzing imperfections resulting from production and transport welfare issues, as well as processing plant stunner, scalder, picker, and other equipment malfunctions. To benchmark the framework, a dataset of 7,321 images was initially acquired, which contained both single and multiple carcasses per image. In this study, the performance of the CarcassFormer system is compared with other state-of-the-art (SOTA) approaches for both classification, detection, and segmentation tasks. Through extensive quantitative experiments, our framework consistently outperforms existing methods, demonstrating re- markable improvements across various evaluation metrics such as AP, AP@50, and AP@75. Furthermore, the qualitative results highlight the strengths of CarcassFormer in capturing fine details, including feathers, and accurately localizing and segmenting carcasses with high precision. To facilitate further research and collaboration, the source code and trained models will be made publicly available upon acceptance.

Duck Tembusu virus in North Vietnam: epidemiological and genetic analysis reveals novel virus strains.

Tembusu virus (TMUV) is an important infectious disease, causing economic losses in duck production. Since the first report of TMUV infection in Vietnam in 2020, the disease has persisted and affected poultry production in the country. This study conducted epidemiological and genetic characterization of the viral strains circulating in north Vietnam based on 130 pooled tissue samples collected in six provinces/cities during 2021. The TMUV genome was examined using conventional PCR. The results indicated that 21 (16.15%) samples and 9 (23.68%) farms were positive for the viral genome. The positive rate was 59.26% for ducks at ages 2-4 weeks, which was significantly higher than for ducks at ages >4 weeks and < 2 weeks. Genetic analysis of the partial envelope gene (891 bp) sequences indicated that the five Vietnamese TMUVs shared 99.55-100% nucleotide identity, while the rates were in the range 99.59-100% based on the pre-membrane gene sequences (498 bp). The five Vietnamese TMUV strains obtained formed a novel single subcluster. These strains were closely related to Chinese strains and differed from the vaccine strain, suggesting that Vietnamese TMUV strains were field viruses. It needs to be further studied on vaccine development to prevent effects of TMUV infection on poultry production across Vietnam.

Genomic insights unveil the plasmid transfer mechanism and epidemiology of hypervirulent Klebsiella pneumoniae in Vietnam.

Hypervirulent Klebsiella pneumoniae (hvKp) is a significant cause of severe invasive infections in Vietnam, yet data on its epidemiology, population structure and dynamics are scarce. We screened hvKp isolates from patients with bloodstream infections (BSIs) at a tertiary infectious diseases hospital in Vietnam and healthy individuals, followed by whole genome sequencing and plasmid analysis. Among 700 BSI-causing Kp strains, 100 (14.3%) were hvKp. Thirteen hvKp isolates were identified from 350 rectal swabs of healthy adults; none from 500 rectal swabs of healthy children. The hvKp isolates were genetically diverse, encompassing 17 sequence types (STs), predominantly ST23, ST86 and ST65. Among the 113 hvKp isolates, 14 (12.6%) carried at least one antimicrobial resistance (AMR) gene, largely mediated by IncFII, IncR, and IncA/C plasmids. Notably, the acquisition of AMR conjugative plasmids facilitated horizontal transfer of the non-conjugative virulence plasmid between K. pneumoniae strains. Phylogenetic analysis demonstrated hvKp isolates from BSIs and human carriage clustered together, suggesting a significant role of intestinal carriage in hvKp transmission. Enhanced surveillance is crucial to understand the factors driving intestinal carriage and hvKp transmission dynamics for informing preventive measures. Furthermore, we advocate the clinical use of our molecular assay for diagnosing hvKp infections to guide effective management.

sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification.

The automatic classification of electrocardiogram (ECG) signals has played an important role in cardiovascular diseases diagnosis and prediction. With recent advancements in deep neural networks (DNNs), particularly Convolutional Neural Networks (CNNs), learning deep features automatically from the original data is becoming an effective and widespread approach in a variety of intelligent tasks including biomedical and health informatics. However, most of the existing approaches are trained on either 1D CNNs or 2D CNNs, and they suffer from the limitations of random phenomena (i.e. random initial weights). Furthermore, the ability to train such DNNs in a supervised manner in healthcare is often limited due to the scarcity of labeled training data. To address the problems of weight initialization and limited annotated data, in this work, we leverage recent self-supervised learning technique, namely, contrastive learning, and present supervised contrastive learning (sCL). Different from existing self-supervised contrastive learning approaches, which often generate false negatives because of random selection of negative anchors, our contrastive learning makes use of labeled data to pull the same class closer together and push different classes far apart to avoid potential false negatives. Furthermore, unlike other kinds of signals (e.g. speech, image, video), ECG signal is sensitive to changes, and inappropriate transformation could directly affect diagnosis results. To deal with this issue, we present two semantic transformations, i.e. semantic split-join and semantic weighted peaks noise smoothing. The proposed deep neural network sCL-ST with supervised contrastive learning and semantic transformations is trained as an end-to-end framework for the multi-label classification of 12-lead ECGs. Our sCL-ST network contains two sub-networks i.e. pre-text task and down-stream task. Our experimental results have been evaluated on 12-lead PhysioNet 2020 dataset and shown that our proposed network outperforms the state-of-the-art existing approaches.

Cost-Effectiveness of Glucosamine in Osteoarthritis Treatment: A Systematic Review.

Osteoarthritis (OA) is a chronic condition that most frequently affects older adults. It is currently the most common disability. The cost of treating an aging population places pressure on the healthcare budget. As a result, it is imperative to evaluate medicines' cost-effectiveness and, accordingly, their influence on health resource allocation. Our study aims to summarize the cost and outcome of utilizing glucosamine in OA treatment. Databases like Medline, Cochrane, and Scopus were searched as part of the identification process up until April 2023. Our primary inclusion criteria centered on the economic evaluation of glucosamine in OA treatments, providing an incremental cost-effectiveness ratio (ICER). The Quality of Health Economic Studies (QHES) instrument was applied to grade the quality of the studies. Seven qualified studies that discussed the cost-effectiveness of glucosamine with or without other formulations were selected. All of them demonstrated that glucosamine was cost-effective. There was an increase in quality-adjusted life years (QALYs) when incorporating glucosamine in conventional care. Moreover, patented crystalline glucosamine sulfate (pCGS) was more cost-effective than the other formulations of glucosamine (OFG). Overall, utilizing pCGS was more beneficial than using OFG in terms both of cost and quality of life.

Effectiveness and Safety of Glucosamine in Osteoarthritis: A Systematic Review.

Knee osteoarthritis is the most popular type of osteoarthritis that causes extreme pain in the elderly. Currently, there is no cure for osteoarthritis. To lessen clinical symptoms, glucosamine was suggested. The primary goal of our systematic review study is to evaluate the effectiveness and safety of glucosamine based on recent studies. Electronic databases such as PubMed, Scopus, and Cochrane were used to assess the randomized controlled trial (RCT). From the beginning through March 2023, the papers were checked, and if they fulfilled the inclusion criteria, they were then examined. The Western Ontario and McMaster Universities Osteoarthritis (WOMAC) and Visual Analog Scale (VAS) scales were considered the main outcome measures. A total of 15 studies were selected. Global pain was significantly decreased in comparison to placebo, as measured by the VAS index, with an overall effect size of standardized mean difference (SMD) of -7.41 ([95% CI] 14.31, 0.51). The WOMAC scale confirmed that pain, stiffness, and physical function had improved, however the effects were insufficient. A statistical update also revealed that there were no reports of serious medication interactions or significant adverse events. To summarize, glucosamine is more effective than a placebo at reducing pain in knee osteoarthritis patients. In long-term treatment, oral glucosamine sulfate 1500 mg/day is believed to be well tolerated.

Spiking Neural Networks and Their Applications: A Review.

The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent increasing need for the autonomy of machines in the real world, e.g., self-driving vehicles, drones, and collaborative robots, exploitation of deep neural networks in those applications has been actively investigated. In those applications, energy and computational efficiencies are especially important because of the need for real-time responses and the limited energy supply. A promising solution to these previously infeasible applications has recently been given by biologically plausible spiking neural networks. Spiking neural networks aim to bridge the gap between neuroscience and machine learning, using biologically realistic models of neurons to carry out the computation. Due to their functional similarity to the biological neural network, spiking neural networks can embrace the sparsity found in biology and are highly compatible with temporal code. Our contributions in this work are: (i) we give a comprehensive review of theories of biological neurons; (ii) we present various existing spike-based neuron models, which have been studied in neuroscience; (iii) we detail synapse models; (iv) we provide a review of artificial neural networks; (v) we provide detailed guidance on how to train spike-based neuron models; (vi) we revise available spike-based neuron frameworks that have been developed to support implementing spiking neural networks; (vii) finally, we cover existing spiking neural network applications in computer vision and robotics domains. The paper concludes with discussions of future perspectives.

Influence of N-terminal His-tags on the production of recombinant proteins in the cytoplasm of Bacillus subtilis.

The influence of fusion tags to produce recombinant proteins in the cytoplasm of Bacillus subtilis is not well-studied as in E. coli. This study aimed to investigate the influence of His-tags with different codons on the protein production levels of the high expression gene (gfp+) and low expression gene (egfp) in the cytoplasm of B. subtilis cells. We used three different N-terminal His-tags, M-6xHis, MRGS-8xHis and MEA-8xHis, to investigate their effects on the production levels of GFP variants under the control of the Pgrac212 in B. subtilis. The fusions of His-tags with GFP+ caused a reduction compared to the construct without His-tag. When three His-tags fused with egfp, the EGFP production levels were significantly increased up to 3.5-, 12-, and 15-fold. This study suggested that His-tag at the N-terminus could enhance the protein production for the low expression gene and reduce that of the high expression gene in B. subtilis.

Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring.

This work aimed to assist physicians by improving their speed and diagnostic accuracy when interpreting portable CXRs as well as monitoring the treatment process to see whether a patient is improving or deteriorating with treatment. These objectives are in especially high demand in the setting of the ongoing COVID-19 pandemic. With the recent progress in the development of artificial intelligence (AI), we introduce new deep learning frameworks to align and enhance the quality of portable CXRs to be more consistent, and to more closely match higher quality conventional CXRs. These enhanced portable CXRs can then help the doctors provide faster and more accurate diagnosis and treatment planning. The contributions of this work are four-fold. Firstly, a new database collection of subject-pair radiographs is introduced. For each subject, we collected a pair of samples from both portable and conventional machines. Secondly, a new deep learning approach is presented to align the subject-pairs dataset to obtain a pixel-pairs dataset. Thirdly, a new PairFlow approach is presented, an end-to-end invertible transfer deep learning method, to enhance the degraded quality of portable CXRs. Finally, the performance of the proposed system is evaluated by UAMS doctors in terms of both image quality and topological properties. This work was undertaken in collaboration with the Department of Radiology at the University of Arkansas for Medical Sciences (UAMS) to enhance portable/mobile COVID-19 CXRs, to improve the speed and accuracy of portable CXR images and aid in urgent COVID-19 diagnosis, monitoring and treatment.

Narrow Band Active Contour Attention Model for Medical Segmentation.

Medical image segmentation is one of the most challenging tasks in medical image analysis and widely developed for many clinical applications. While deep learning-based approaches have achieved impressive performance in semantic segmentation, they are limited to pixel-wise settings with imbalanced-class data problems and weak boundary object segmentation in medical images. In this paper, we tackle those limitations by developing a new two-branch deep network architecture which takes both higher level features and lower level features into account. The first branch extracts higher level feature as region information by a common encoder-decoder network structure such as Unet and FCN, whereas the second branch focuses on lower level features as support information around the boundary and processes in parallel to the first branch. Our key contribution is the second branch named Narrow Band Active Contour (NB-AC) attention model which treats the object contour as a hyperplane and all data inside a narrow band as support information that influences the position and orientation of the hyperplane. Our proposed NB-AC attention model incorporates the contour length with the region energy involving a fixed-width band around the curve or surface. The proposed network loss contains two fitting terms: (i) a high level feature (i.e., region) fitting term from the first branch; (ii) a lower level feature (i.e., contour) fitting term from the second branch including the (ii1) length of the object contour and (ii2) regional energy functional formed by the homogeneity criterion of both the inner band and outer band neighboring the evolving curve or surface. The proposed NB-AC loss can be incorporated into both 2D and 3D deep network architectures. The proposed network has been evaluated on different challenging medical image datasets, including DRIVE, iSeg17, MRBrainS18 and Brats18. The experimental results have shown that the proposed NB-AC loss outperforms other mainstream loss functions: Cross Entropy, Dice, Focal on two common segmentation frameworks Unet and FCN. Our 3D network which is built upon the proposed NB-AC loss and 3DUnet framework achieved state-of-the-art results on multiple volumetric datasets.