1. |
- Beal, Jacob, et al.
(author)
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Robust estimation of bacterial cell count from optical density
- 2020
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In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Journal article (peer-reviewed)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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2. |
- Kristan, Matej, et al.
(author)
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The first visual object tracking segmentation VOTS2023 challenge results
- 2023
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In: 2023 IEEE/CVF International conference on computer vision workshops (ICCVW). - : Institute of Electrical and Electronics Engineers Inc.. - 9798350307443 - 9798350307450 ; , s. 1788-1810
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Conference paper (peer-reviewed)abstract
- The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website1
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3. |
- Geng, Xin, et al.
(author)
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Challenges and Strategies on Interphasial Regulation for Aqueous Rechargeable Batteries
- 2024
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In: Advanced Energy Materials. - : Wiley-VCH Verlagsgesellschaft. - 1614-6832 .- 1614-6840. ; 14:12
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Research review (peer-reviewed)abstract
- The practical application of aqueous rechargeable batteries faces several challenges due to the limited stability window of electrolytes and parasitic side reactions, such as corrosion, passivation, gas evolution, and co-intercalations. The solid electrolyte interphase (SEI) formed at the electrode/electrolyte interface plays a critical role in determining interfacial properties and battery performance. Efforts are being made to develop effective SEIs, functionalize interphase layers, and explore various aqueous hybrid electrolytes that facilitate SEI formation. This review highlights the role of interphasial structures in aqueous batteries. First, common issues encountered by aqueous batteries and specific characteristics of aqueous lithium-ion, sodium-ion, zinc-ion, and aluminum-ion batteries are outlined. Then the tactics used to improve cycle stability of aqueous batteries are introduced and compared and the working principles and key parameters from the context of interphasial modification are discussed. Finally, constructive insights and suggestions for developing high-performance batteries are offered, with a focus on SEI formation and interphase layer design.
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4. |
- Jiang, Bing-Xin, et al.
(author)
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Fabrication and bonding of In bumps on Micro-LED with 8 μ m pixel pitch
- 2024
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In: ENGINEERING RESEARCH EXPRESS. - 2631-8695. ; 6:2
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Journal article (peer-reviewed)abstract
- Indium (In) is currently used to fabricate metal bumps on micro-light-emitting diode (Micro-LED) chips due to its excellent physical properties. However, as Micro-LED pixel size and pitch decrease, achieving high-quality In bumps on densely packed Micro-LED chips often presents more challenges. This paper describes the process of fabricating In bumps on micro-LEDs using thermal evaporation, highlighting an issue where In tends to grow laterally within the photoresist pattern, ultimately blocking the pattern and resulting in undersized and poorly dense In bumps on the Micro-LED chip. To address this issue, we conducted numerous experiments to study the height variation of In bumps within a range of photoresist aperture sizes (3 mu m -7 mu m) under two different resist thickness conditions (3.8 mu m and 4.8 mu m). The results showed that the resist thickness had a certain effect on the height of In bumps on the Micro-LED chip electrodes. Moreover, we found that, with the photoresist pattern size increasing under constant resist thickness conditions, the height and quality of the bumps significantly improved. Based on this finding, we rationalized the adjustment of the photoresist pattern size within a limited emission platform range to compensate for the height difference of In bumps caused by different resist thicknesses between the cathode and anode regions. Consequently, well-shaped and dense In bumps with a maximum height of up to 4.4 mu m were fabricated on 8 mu m pitch Micro-LED chips. Afterwards, we bonded the Micro-LED chip with indium bumps to the CMOS chip, and we found that we could successfully control the CMOS chip to drive the Micro-LED chip to display specific characters through the Flexible Printed Circuit (FPC). This work is of significant importance for the fabrication of In bumps on Micro-LED chips with pitches below 10 mu m and subsequent bonding processes.
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5. |
- Jin, Ying-Hui, et al.
(author)
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Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19 : An evidence-based clinical practice guideline (updated version)
- 2020
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In: Military Medical Research. - : Springer Science and Business Media LLC. - 2054-9369. ; 7:1
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Journal article (peer-reviewed)abstract
- The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of a rapidly spreading illness, coronavirus disease 2019 (COVID-19), affecting more than seventeen million people around the world. Diagnosis and treatment guidelines for clinicians caring for patients are needed. In the early stage, we have issued "A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version)"; now there are many direct evidences emerged and may change some of previous recommendations and it is ripe for develop an evidence-based guideline. We formed a working group of clinical experts and methodologists. The steering group members proposed 29 questions that are relevant to the management of COVID-19 covering the following areas: chemoprophylaxis, diagnosis, treatments, and discharge management. We searched the literature for direct evidence on the management of COVID-19, and assessed its certainty generated recommendations using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. Recommendations were either strong or weak, or in the form of ungraded consensus-based statement. Finally, we issued 34 statements. Among them, 6 were strong recommendations for, 14 were weak recommendations for, 3 were weak recommendations against and 11 were ungraded consensus-based statement. They covered topics of chemoprophylaxis (including agents and Traditional Chinese Medicine (TCM) agents), diagnosis (including clinical manifestations, reverse transcription-polymerase chain reaction (RT-PCR), respiratory tract specimens, IgM and IgG antibody tests, chest computed tomography, chest x-ray, and CT features of asymptomatic infections), treatments (including lopinavir-ritonavir, umifenovir, favipiravir, interferon, remdesivir, combination of antiviral drugs, hydroxychloroquine/chloroquine, interleukin-6 inhibitors, interleukin-1 inhibitors, glucocorticoid, qingfei paidu decoction, lianhua qingwen granules/capsules, convalescent plasma, lung transplantation, invasive or noninvasive ventilation, and extracorporeal membrane oxygenation (ECMO)), and discharge management (including discharge criteria and management plan in patients whose RT-PCR retesting shows SARS-CoV-2 positive after discharge). We also created two figures of these recommendations for the implementation purpose. We hope these recommendations can help support healthcare workers caring for COVID-19 patients.
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6. |
- Bi, Yu-Han, et al.
(author)
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The relationship between chronic diseases and depression in middle-aged and older adults : A 4-year follow-up study from the China Health and Retirement Longitudinal Study.
- 2021
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In: Journal of Affective Disorders. - : Elsevier BV. - 0165-0327 .- 1573-2517. ; 289, s. 160-166
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Journal article (peer-reviewed)abstract
- Background: Evidence of the association between common chronic diseases and depression is sparse.Methods: Totally 7819 participants aged 45+ without depression at baseline were followed-up (2011-2015) to detect incident depression. Chronic diseases and depression were defined by self-reported diagnosis and the Center for Epidemiological Studies Depression Scale (CES-D10), respectively. Cox proportional hazards model was used to explore the association between chronic diseases and depression adjusting for age, gender, education, marital/living conditions, area, smoking, drinking, economic status, BMI and health insurance.Results: During an average of 3.42 years follow-up, 2271 participants developed depression (85 per 1000 person-year). Chronic diseases were related to significantly higher risk of depression (HR = 1.38). A higher risk of depression was also associated with specific diseases: stomach/other digestive diseases (HR = 1.19), diabetes (HR = 1.22), arthritis/rheumatism (HR = 1.30), and kidney diseases (HR = 1.34) (P < 0.05). The risk of depression increased with increasing in the number of chronic diseases (1: HR = 1.27, 2: HR = 1.49, and 3+: HR = 1.51, P-trend < 0.001). No significant difference was observed across age, gender, education, and area.Limitations: Chronic diseases and depression were based on self-reported diagnosis and measurement scale, respectively, which could lead to information bias. Some unmeasured confounders might have biased the results.Conclusions: The occurrence of depression in people aged 45+ is associated with number of chronic diseases in a dose-response fashion. These results may provide guidance on preventing depression and improving the quality of life in middle and late adulthood.
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7. |
- Cao, Jin, et al.
(author)
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The interaction between macroprudential and monetary policies: The cases of Norway and Sweden
- 2020
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Other publication (other academic/artistic)abstract
- To shed light on the interaction between macroprudential and monetary policies, we study the inward transmission of foreign monetary policy in conjunction with domestic macroprudential and monetary policies in Norway and Sweden. Using detailed bank-level data we show how Norwegian and Swedish banks’ lending reacts to monetary policy surprises arising abroad, controlling for the domestic macroprudential stance and the interaction between monetary and macroprudential policies. In both countries, the domestic macroprudential policy helps mitigate the effects arising after foreign monetary surprises.
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8. |
- Cao, Jin, et al.
(author)
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The interaction between macroprudential and monetary policies: The cases of Norway and Sweden
- 2021
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In: Review of International Economics. - : Wiley. - 1467-9396 .- 0965-7576. ; 29:1, s. 87-116
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Journal article (peer-reviewed)abstract
- To shed light on the interaction between macroprudential and monetary policies, we study the inward transmission of foreign monetary policy in conjunction with domestic macroprudential and monetary policies in Norway and Sweden. Using detailed bank‐level data, we show how Norwegian and Swedish banks’ lending reacts to monetary policy surprises arising abroad, controlling for the domestic macroprudential stance and the interaction between monetary and macroprudential policies. In both countries, domestic macroprudential policy helps mitigate the effects arising from foreign monetary surprises.
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9. |
- Dong, Yi-Min, et al.
(author)
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Development and Validation of a Nomogram for Assessing Survival in Patients With COVID-19 Pneumonia
- 2021
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In: Clinical Infectious Diseases. - : Oxford University Press. - 1058-4838 .- 1537-6591. ; 72:4, s. 652-660
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Journal article (peer-reviewed)abstract
- Background. The outbreak of coronavirus disease 2019 (COVID-19) has spread worldwide and continues to threaten peoples' health as well as put pressure on the accessibility of medical systems. Early prediction of survival of hospitalized patients will help in the clinical management of COVID-19, but a prediction model that is reliable and valid is still lacking. Methods. We retrospectively enrolled 628 confirmed cases of COVID-19 using positive RT-PCR tests for SARS-CoV-2 in Tongji Hospital, Wuhan, China. These patients were randomly grouped into a training (60%) and a validation (40%) cohort. In the training cohort, LASSO regression analysis and multivariate Cox regression analysis were utilized to identify prognostic factors for in-hospital survival of patients with COVID-19. A nomogram based on the 3 variables was built for clinical use. AUCs, concordance indexes (C-index), and calibration curves were used to evaluate the efficiency of the nomogram in both training and validation cohorts. Results. Hypertension, higher neutrophil-to-lymphocyte ratio, and increased NT-proBNP values were found to be significantly associated with poorer prognosis in hospitalized patients with COVID-19. The 3 predictors were further used to build a prediction nomogram. The C-indexes of the nomogram in the training and validation cohorts were 0.901 and 0.892, respectively. The AUC in the training cohort was 0.922 for 14-day and 0.919 for 21-day probability of in-hospital survival, while in the validation cohort this was 0.922 and 0.881, respectively. Moreover, the calibration curve for 14- and 21-day survival also showed high coherence between the predicted and actual probability of survival. Conclusions. We built a predictive model and constructed a nomogram for predicting in-hospital survival of patients with COVID-19. This model has good performance and might be utilized clinically in management of COVID-19.
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10. |
- Dong, Yi-Min, et al.
(author)
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Reply to Collins et al
- 2021
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In: Clinical Infectious Diseases. - : Oxford University Press. - 1058-4838 .- 1537-6591. ; 73:3, s. 558-559
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Journal article (other academic/artistic)
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