Beyond person-environment congruence: Career adaptability, career personality styles, and thinking styles.

The main objectives of this study were to explore the relationship between career personality styles and career adaptability and the role of thinking styles in such relationship. Eight hundred and eleven Chinese students, who were trained as pre-service kindergarten teachers, responded to the Career Personality Styles Inventory, the shortened Thinking Styles Inventory-Revised, and the Career Adapt-Ability Scale - Short Form. Results suggested that the career personality styles (i.e. social, enterprising) that fit the vocational environment of kindergarten teaching the most positively predicted the students' career adaptability, both directly and indirectly through creativity-generating thinking styles. Moreover, the artistic and investigative career personality styles indirectly predicted students' career adaptability through creativity-generating thinking styles, while the conventional and realistic career personality styles showed no significant effect on the students' career adaptability. The findings imply that beyond the notion of person-environment congruence, some career personality styles can consistently predict career adaptability through thinking styles. Implications for career counseling and education practice are discussed.

Recycled PET/PA6 Fibers from Waste Textile with Improved Hydrophilicity by In-Situ Reaction-Induced Capacity Enhancement.

Due to the increasing amounts of textile waste, textile to textile recycling is of prime concern. Polyethylene terephthalate (PET) represents the most extensively used type of chemical fiber. Its spinnability suffers from impurities and degradation in the processing, which limits its recycling to new fibers. Here, recycled polyester is blended with a small amount of recycled nylon, and the regenerated fibers, which demonstrated good mechanical properties, were obtained via a melt spinning machine. The mechanical properties, thermal properties, rheological properties, and chemical structure of the modified recycled fibers were investigated. It was found that when compared with rPET-T fibers, the elongation at break of rPET-Ax fibers increased to 17.48%, and the strength at break decreased to 3.79 cN/dtex. The compatibility of PET and PA6 copolymer were enhanced by copolymers produced by in-situ reaction in the processing. Meanwhile, the existence of PA6 increases the crystallization temperature and improves the hydrophilicity of the fibers. This study realized the high-value recycling of waste PET fabric to new fibers, which opens a door for the large utilization of waste textiles.

3D power frequency intensive electric field sensor based on a lithium niobate electro-optic crystal.

In order to conveniently measure the power frequency intensive electric field in any direction in space, a lithium niobate (LN) crystal-based three dimensional (3D) intensive electric field sensor with an all-dielectric structure has been developed. A regular triangular prism structure with three 1D (one-dimensional) electric field sensors fixed on its three sides is designed and fabricated. By setting the orientation of the z-axes of the three 1D electric field sensors at 54.7° with respect to the three edges of the prism, the detection directions of the three 1D electric field sensors are perpendicular to each other. Compared to existing 3D electric field sensors that directly arrange three 1D electric field sensors along three mutually perpendicular directions, the overall device volume of the newly designed 3D sensor is significantly reduced. Experimental results reveal that the linear measurement ranges of the 3D electric field sensor along the three axes are 3.71 kV/m-388 kV/m, 2.78 kV/m-403 kV/m, and 4.50 kV/m-375 kV/m, respectively. When the electric field strength is 82.05 kV/m, the measurement error is less than 4.97% when the 3D electric field sensor is rotated 360° in the y o z and x o y planes.

Single-loop tunable PT-symmetric optoelectronic oscillator based on a phase modulator.

In this paper, a single-loop tunable parity-time (PT) symmetric optoelectronic oscillator (OEO) based on a dual-mode optical phase modulator (PM) and a microwave photonic filter (MPF) has been proposed, analyzed, and designed. By adjusting the polarization angle θ between the input linearly polarized light and the z axis of the PM, the two-mode splitting ratio of the PM can be controlled, which results in a PT-symmetric structure based on a single physical loop. By adjusting the pump light wavelength, the center frequency of the stimulated Brillouin scattering (SBS)-based MPF can be tuned, which enables a fine tunable output frequency. The results reveal that, by adjusting the pump light wavelength with a step size of 0.0001 nm, a frequency tuning accuracy of 12.5 MHz can be obtained. Simultaneously, the OEO output frequency can be tuned from 0.9 to 22 GHz, while the side-mode suppress ratio (SMSR) is 53 dB, and the phase noise is -133.8d B c/H z at a frequency offset of 10 kHz.

Effects of rapeseed oil on body composition and glucolipid metabolism in people with obesity and overweight: a systematic review and meta-analysis.

To investigate the effects of rapeseed oil on body composition, blood glucose and lipid metabolism in people with overweight and obesity compared to other cooking oils. We searched eight databases for randomized controlled studies (including randomized crossover trials). The risk of bias for the included studies was assessed using the Cochrane Risk of Bias 2.0 tool. The Grading of Recommendations Assessment Development and Evaluation (GRADE) criteria were used to evaluate the quality of the outcomes. The methodological quality of the included studies was assessed using the Physiotherapy Evidence Database (PEDro) scale. Sensitivity analysis was used to check the stability of the pooled results. Statistical analysis was carried out using Review Manager 5.3 software. As a result, fifteen randomized controlled studies (including six parallel studies and nine crossover studies) were included in this study. Compared to other edible oils, rapeseed oil significantly reduced low density lipoprotein cholesterol (LDL-C) (MD = -0.14 mmol/L, 95% CI: -0.21, -0.08, I2 = 0%, P < 0.0001), apolipoprotein B (ApoB) (MD = -0.03 g/L, 95% CI: -0.05, -0.01, I2 = 0%, P = 0.0003), ApoB/ApoA1 (MD = -0.02, 95% CI: -0.04, -0.00, I2 = 0%, P = 0.02) and insulin (MD = -12.45 pmol/L, 95% CI: -19.61, -5.29, I2 = 37%, P = 0.0007) levels, and increased fasting glucose (MD = 0.16 mmol/L, 95% CI: 0.05, 0.27, I2 = 27%, P = 0.003) levels. However, the differences in body weight and body composition between rapeseed oil and control oils were not significant. In a word, rapeseed oil is effective in reducing LDL-C, ApoB and ApoB/ApoA1 levels in people with overweight and obesity, which is helpful in preventing and reducing the risk of atherosclerosis. PROSPERO registration number: CRD42022333436.

Multicomponent hyperspectral grade evaluation of ilmenite using spectral-spatial joint features.

Obtaining a comprehensive understanding of ore grade information is of significant importance for evaluating the value of ore. However, the real-time detection of multicomponent grade needs more effective online methods. This study proposes a novel approach utilizing hyperspectral imaging (HSI) to evaluate the grade information of nine major ilmenite components by integrating spectral and spatial data. Four multivariate input-output models were developed to mitigate variable interference to predict each component's grade. The results demonstrated that the backpropagation neural network (BPNN) model built from iPLS-VCPA-IRIV feature selection spectral data worked best (RP2 = 0.9935, RMSEP = 0.1364, RPD = 12.8986, and RPIQ = 21.4871, with a computational time of approximately 0.8 s). Furthermore, applying the best optimal combination algorithm for multicomponent grade inversion yielded highly accurate results, in which 97% of the component inversion residuals were less than 1. This investigation affirms that HSI enables rapid and accurate prediction and inversion of the multicomponent grade of ilmenite, thereby presenting a promising alternative to online analysis in the mineral field.

Considering Image Information and Self-Similarity: A Compositional Denoising Network.

Recently, convolutional neural networks (CNNs) have been widely used in image denoising, and their performance has been enhanced through residual learning. However, previous research mostly focused on optimizing the network architecture of CNNs, ignoring the limitations of the commonly used residual learning. This paper identifies two of its limitations, which are the neglect of image information and the lack of effective consideration of image self-similarity. To solve these limitations, this paper proposes a compositional denoising network (CDN), which contains two sub-paths, the image information path (IIP) and the noise estimation path (NEP), respectively. IIP is trained via an image-to-image method to extract image information. For NEP, it utilizes image self-similarity from the perspective of training. This similarity-based training method constrains NEP to output similar estimated noise distributions for different image patches with a specific kind of noise. Finally, image information and noise distribution information are comprehensively considered for image denoising. Experimental results indicate that CDN outperforms other CNN-based methods in both synthetic and real-world image denoising, achieving state-of-the-art performance.

Do dietary supplements prevent loss of muscle mass and strength during muscle disuse? A systematic review and meta-analysis of randomized controlled trials.

Objective: We performed a systematic review and meta-analysis of existing randomized controlled trials (RCTs) to assess whether dietary supplements can prevent loss of muscle mass and strength during muscle disuse. Methods: We searched the following databases: PubMed, Embase, Cochrane, Scopus, Web of Science, and CINAHL for RCTs assessing the effect of dietary supplements on disuse muscular atrophy without language and time restrictions. Muscle strength and leg lean mass were used as the primary outcome indicators. Muscle cross-sectional area (CSA), muscle fiber type distribution, peak aerobic capacity and muscle volume were used as secondary outcome indicators. The risk of bias was assessed using the Cochrane Collaboration's Risk of Bias tool. Heterogeneity was tested using the I2 statistic index. Mean and standard deviation of outcome indicators were extracted from the intervention and control groups to calculate effect sizes and 95% confidence intervals, with the significance level set at P < 0.05. Results: Twenty RCTs were included with a total of 339 subjects. The results showed that dietary supplements had no effect on muscle strength, CSA, muscle fiber type distribution, peak aerobic capacity or muscle volume. But dietary supplements have a protective effect on the lean mass of the legs. Conclusion: Dietary supplements can improve lean leg mass, but did not show a tendency to have an effect on muscle strength, CSA, muscle fiber type distribution, peak aerobic capacity or muscle volume during muscle disuse. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier: CRD42022370230.

Development of a flat conical chamber-based non-dispersive infrared CO2 gas sensor with temperature compensation.

In order to accurately monitor CO2 concentration based on the non-dispersive infrared technique, a novel flat conical chamber CO2 gas sensor is proposed and investigated by simulation analysis and experimental verification. First, the optical design software and computational fluid dynamics method are utilized to theoretically investigate the relationship between the energy distribution, absorption efficiency of infrared radiation, and chamber size. The simulation results show that the chamber length has an optimal value of 8 cm when the cone angle is 5° and the diameter of the detection surface is 1 cm, which makes infrared absorption efficiency optimal. Then, the flat conical chamber CO2 gas sensor system is developed, calibrated, and tested. The experimental results indicate that the sensor can accurately detect CO2 gas concentrations in the range of 0-2000 ppm at 25 °C. It is found that the absolute error of calibration is within 10 ppm, and the maximum repeatability and stability errors are 5.5 and 3.5%, respectively. Finally, the genetic neural network algorithm is presented to compensate for the output concentration of the sensor to solve the problem of temperature drift. Experimental results demonstrate that the relative error of the compensated CO2 concentration is varied from -0.85 to 2.32%, which is significantly reduced. The study has reference significance for the structural optimization of the infrared CO2 gas sensor and the improvement of the measurement accuracy.

Effects of a vegetarian diet combined with aerobic exercise on glycemic control, insulin resistance, and body composition: a systematic review and meta-analysis.

BACKGROUND: Vegetarian diets and aerobic exercise are increasingly accepted as a common way to improve lifestyle. Several studies have shown that vegetarian diets combined with aerobic exercise interventions have a significant effect on preventing and reducing the risk of metabolic diseases. METHODS: A search of the PubMed, EBSCO, Embase, CENTRAL, and Web of Science databases was conducted for comparative studies of pre- and post-vegetarian diet adoption combined with aerobic exercise interventions on glycemic control and body composition. Qualitative reviews and meta-analyses of fixed and random effects were conducted to pool available data. The results were validated by sensitivity analysis. RESULTS: A total of 27 studies were selected for meta-analysis. Combining the studies included in the meta-analysis showed a mean difference for homeostasis model assessment of insulin resistance of - 0.75 (- 1.08 to - 0.42), fasting plasma glucose of - 0.27(- 0.30 to - 0.23), waist circumference of - 1.10 (- 5.06 to 2.86) and body mass index of - 0.70 (- 1.38 to - 0.01). CONCLUSION: In summary, our findings suggest that participants who adopted a vegetarian diet combined with aerobic exercise intervention had significantly lower fasting plasma glucose and insulin levels and improved body composition compared to preintervention participants. LEVEL OF EVIDENCE: Level I, systematic review and meta-analysis.

A network analysis of positive developmental assets of Hong Kong school-age children during the Covid-19 pandemic.

The ongoing COVID19 pandemic is having detrimental effects on the mental and emotional well-being of many adults and children. It is relevant therefore to explore the combination of personal strengths and attributes that can help an individual develop resilience to such stress. Little is known about how psychological strength assets such as social connectedness, grit, hope, life meaning, and life satisfaction are inter-related, and if certain factors play a central role. This study involved a sample of 1,405 school-aged children in Hong Kong (50% female) from seven schools that participated in an online survey of psychological strengths. Data were analyzed by constructing a psychological network that found strength factors are inter-connected, and that 'school connectedness' and 'agency thinking' are central to the network. The information gained can be of value in any schools that are planning to provide strength-based interventions to help students maintain their psychological well-being during and after the COVID-19 pandemic.

Effects of WB-EMS and protein supplementation on body composition, physical function, metabolism and inflammatory biomarkers in middle-aged and elderly patients with sarcopenic obesity: A meta-analysis of randomized controlled trials.

BACKGROUND: The patients with sarcopenic obesity (SO) have the characteristics of both sarcopenia and obesity, that is, less muscle mass and increased fat mass, and their morbidity, disability and mortality are higher than patients with sarcopenia or obesity alone. OBJECTIVES: To investigate the effects of whole-body electromyostimulation (WB-EMS) training and protein supplementation intervention on body composition, physical function, metabolism and inflammatory biomarkers in middle-aged and elderly patients with SO. METHODS: We searched for randomized controlled trials in seven databases, including PubMed, Web of Science, Embase, Cochrane Library, Scopus, SinoMed, and CNKI as of July 3, 2021. The methodological quality of each included study was assessed using the Physiotherapy Evidence Database (PEDro) scale. The Cochrane Risk of Bias Tool was used to assess the risk of bias. Statistical analysis was performed using Review Manager 5.3. RESULTS: Eleven randomized controlled studies with a total of 779 participants were included in this meta-analysis. WB-EMS training improved sarcopenia Z-score (MD = -1.52, 95 % CI: -2.27, -0.77, P < 0.0001) and waist circumference (WC) (MD = -1.41, 95 % CI: -2.62, -0.20, P = 0.02), and increased skeletal muscle mass index (SMI) (MD = 1.27, 95 % CI: 0.66,1.88, P < 0.0001) and appendicular skeletal muscle mass (ASMM) (MD = 0.68, 95 % CI: 0.08, 1.27, P = 0.03). Protein supplementation intervention reduced body fat rate (BF%) (MD = -1.28, 95 % CI: -1.88, -0.68, P < 0.0001, I2 = 0 %), total body fat (TBF) (MD = -0.98, 95 % CI: -1.65, -0.31, P = 0.004, I2 = 0 %) and trunk body fat mass (TBFM) (MD = -0.50, 95 % CI: -0.94, -0.06, P = 0.03, I2 = 0 %), and increased grip strength (GS) (MD = 1.13, 95 % CI: 0.06, 2.21, P = 0.04, I2 = 0 %). The combination of WB-EMS and protein supplements is beneficial to most body components and physical functions, such as SMI (MD = 1.21, 95 % CI: 0.73, 1.51, P < 0.00001, I2 = 0 %), GS (MD = 1.60, 95 % CI: 0.80, 2.40, P < 0.0001, I2 = 45 %) and walking speed (WS) (MD = 0.04, 95 % CI: 0.02, 0.06, P < 0.0001, I2 = 49 %). Compared with protein supplementation alone, WB-EMS could have an additional beneficial effect on BF% (MD = -0.92, 95 % CI: -1.80, -0.04, P = 0.04) and WC (MD = -1.03, 95 % CI: -1.70, -0.36, P = 0.003). Nevertheless, the addition of protein supplements did not provide any additional benefit compared with WB-EMS alone. In addition, there was almost no positive effect of WB-EMS and protein supplements on metabolic and inflammatory biomarkers. CONCLUSIONS: As things stand, protein supplementation intervention can effectively reduce body fat percentage, fat mass, and increase grip strength in SO patients. Both WB-EMS and protein supplementation intervention had no significant effects on metabolic and inflammatory biomarkers. WB-EMS combined with protein supplementation intervention was beneficial for SO patients in many ways. Due to the small number of studies, further studies are needed to confirm the efficacy of WB-EMS alone or in combination with protein supplementation intervention in SO patients. REGISTRATION NUMBER: INPLASY202190096 DOI:10.37766/inplasy2021.9.0096.

Effects of resistance training on body composition and physical function in elderly patients with osteosarcopenic obesity: a systematic review and meta-analysis.

Osteosarcopenic obesity (OSO) is a complex disease commonly seen in the elderly. We found that resistance training may improve bone mineral density, skeletal muscle mass, and body fat percentage in patients with OSO. Therefore, resistance training is beneficial for elderly OSO patients and is worth being promoted. PURPOSE: Investigate effects of resistance training on body composition and physical function in elderly osteosarcopenic obesity (OSO) patients. METHODS: PubMed, Web of Science, Embase, Cochrane Library, Medline, SinoMed, CNKI, and Wanfang Database were searched from inception until October 13, 2021.Two independent researchers extracted the key information from each eligible study. The methodological quality of included studies was assessed using the Physiotherapy Evidence Database (PEDro) scale. The Cochrane Risk of Bias Tool was used to assess the risk of bias. Grading of Recommendations Assessment Development and Evaluation (GRADE) was used to evaluate the quality of the outcomes. Sensitivity analysis indicated the stability of the results. Statistical analysis was performed using Review Manager 5.3. RESULTS: Four randomized controlled studies meeting the inclusion criteria were included, with 182 participants. Twelve weeks of resistance training improved bone mineral density (BMD, mean difference (MD) = 0.01 g/cm2, 95% confidence interval (CI): 0.001, 0.02, P = 0.03, I2 = 0%), skeletal muscle mass (SMM, MD = 1.19 kg, 95% CI: 0.50, 1.89, P = 0.0007, I2 = 0%), Z score, timed chair rise test (TCR), and body fat percentage (BFP, MD = - 1.61%, 95% CI: - 2.94, - 0.28, P = 0.02, I2 = 50%) but did not significantly affect skeletal muscle mass index (SMI, MD = 0.20 kg/m2, 95% CI: - 0.25, 0.64, P = 0.38, I2 = 0%) or gait speed (GS). CONCLUSIONS: Resistance training is a safe and effective intervention that can improve many parameters, including BFP, SMM, and Z score, among OSO patients and is a good option for elderly individuals to improve their physical fitness.

Rapid Antibiotic Resistance Serial Prediction in Staphylococcus aureus Based on Large-Scale MALDI-TOF Data by Applying XGBoost in Multi-Label Learning.

Multidrug resistance has become a phenotype that commonly exists among Staphylococcus aureus and is a serious concern for infection treatment. Nowadays, to detect the antibiotic susceptibility, antibiotic testing is generated based on the level of genomic for cure decision consuming huge of time and labor, while matrix-assisted laser desorption-ionization (MALDI) time-of-flight mass spectrometry (TOF/MS) shows its possibility in high-speed and effective detection on the level of proteomic. In this study, on the basis of MALDI-TOF spectra data of discovery cohort with 26,852 samples and replication cohort with 4,963 samples from Taiwan area and their corresponding susceptibilities to oxacillin and clindamycin, a multi-label prediction model against double resistance using Lowest Power set ensemble with XGBoost is constructed for rapid susceptibility prediction. With the output of serial susceptibility prediction, the model performance can realize 77% of accuracy for the serial prediction, the area under the receiver characteristic curve of 0.93 for oxacillin susceptibility prediction, and the area under the receiver characteristic curve of 0.89 for clindamycin susceptibility prediction. The generated multi-label prediction model provides serial antibiotic resistance, such as the susceptibilities of oxacillin and clindamycin in this study, for S. aureus-infected patients based on MALDI-TOF, which will provide guidance in antibiotic usage during the treatment taking the advantage of speed and efficiency.

Bifunctional polypyrrole-based conductive paper towards simultaneous efficient solar-driven water evaporation and electrochemical energy storage.

The thriving solar-driven water evaporation (SDWE) technology is considered the ideal candidate for next-generation water treatment because of its high efficiency, environment-friendliness, and low cost. The irresistible trend of diversified energy demand presents multi-functional requirements for a successful SWDE. However, the current SDWE technology rarely breaks through this technical dilemma. Here, we have designed a bifunctional polypyrrole-based capacitor to achieve water purification and energy storage. The hydrophilicity of the filter paper and the high light absorptance of polypyrrole (96.18%) promote the generation of solar steam. The evaporation rate of the PPy-200 (Polypyrrole-200) filter paper reached 1.54 kg m-2 h-1 under 1 kW m-2. Interestingly, the symmetric supercapacitor assembled with PPy-based filter paper electrodes could simultaneously realize efficient evaporation (1.94 kg m-2 h-1) and electrochemical energy storage. As a single electrode, the PPy-200 filter paper exhibited ultra-high specific capacitance (4129.50 mF cm-2) and favorable cycling stability (71.16% after 4000 cycles). More importantly, the capacitance of PP-PPy-200 (Polyvinyl alcohol/Polyethylene glycol-Polypyrrole-200) increased to 2.55 times under one sun illumination. This work not only points out a direction for solar thermal utilization, but also provides new design inspiration for high-efficiency flexible electrochemical energy storage devices.

A Strengths-Based Longitudinal Career Intervention for Junior Secondary School Students with Special Educational Needs: a Mixed-method Evaluation.

The mixed-method study reported here was designed to evaluate a strengths-based career intervention program for secondary school students with mild special educational needs (SEN). A sample of 32 SEN students (19 boys: 13 girls) from 5 inclusive schools in Hong Kong were recruited to a treatment group. An additional 32 SEN students (19 boys: 13 girls) were selected to form the control group matched for age, gender and parents' education level. The special needs exhibited by both groups were in areas of literacy and numeracy, attention deficits, and social-emotional problems, but did not include severe or complex disabilities. Participants in both groups responded to pre- and post-intervention questionnaires covering career development self-efficacy, personal and social development self-efficacy, and meaning in life. As a follow-up, two teachers and three social workers providing support to SEN students, and the 32 participants were interviewed several months after the intervention. Interviews also took place with teachers, social workers and students to evaluate the perceived effects of the intervention. Findings indicated significant interactions between Time 1 and Time 2, and between groups (control vs. treatment) in personal goal-setting, career goal-setting, and the presence of meaning in life. Additionally, several themes were identified from the interviews suggesting that the intervention did have positive effects on SEN students' career, personal and social development self-efficacy, and acquisition of meaning in life.

dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications.

Protein post-translational modifications (PTMs) play an important role in different cellular processes. In view of the importance of PTMs in cellular functions and the massive data accumulated by the rapid development of mass spectrometry (MS)-based proteomics, this paper presents an update of dbPTM with over 2 777 000 PTM substrate sites obtained from existing databases and manual curation of literature, of which more than 2 235 000 entries are experimentally verified. This update has manually curated over 42 new modification types that were not included in the previous version. Due to the increasing number of studies on the mechanism of PTMs in the past few years, a great deal of upstream regulatory proteins of PTM substrate sites have been revealed. The updated dbPTM thus collates regulatory information from databases and literature, and merges them into a protein-protein interaction network. To enhance the understanding of the association between PTMs and molecular functions/cellular processes, the functional annotations of PTMs are curated and integrated into the database. In addition, the existing PTM-related resources, including annotation databases and prediction tools are also renewed. Overall, in this update, we would like to provide users with the most abundant data and comprehensive annotations on PTMs of proteins. The updated dbPTM is now freely accessible at https://awi.cuhk.edu.cn/dbPTM/.

dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data.

The last 18 months, or more, have seen a profound shift in our global experience, with many of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life-threatening pandemic with little to no targeted therapeutic recourse. The discovery of novel antiviral agents, such as vaccines and drugs, can provide therapeutic solutions to save human beings from severe infections; however, there is no specifically effective antiviral treatment confirmed for now. Thus, great attention has been paid to the use of natural or artificial antimicrobial peptides (AMPs) as these compounds are widely regarded as promising solutions for the treatment of harmful microorganisms. Given the biological significance of AMPs, it was obvious that there was a significant need for a single platform for identifying and engaging with AMP data. This led to the creation of the dbAMP platform that provides comprehensive information about AMPs and facilitates their investigation and analysis. To date, the dbAMP has accumulated 26 447 AMPs and 2262 antimicrobial proteins from 3044 organisms using both database integration and manual curation of >4579 articles. In addition, dbAMP facilitates the evaluation of AMP structures using I-TASSER for automated protein structure prediction and structure-based functional annotation, providing predictive structure information for clinical drug development. Next-generation sequencing (NGS) and third-generation sequencing have been applied to generate large-scale sequencing reads from various environments, enabling greatly improved analysis of genome structure. In this update, we launch an efficient online tool that can effectively identify AMPs from genome/metagenome and proteome data of all species in a short period. In conclusion, these improvements promote the dbAMP as one of the most abundant and comprehensively annotated resources for AMPs. The updated dbAMP is now freely accessible at http://awi.cuhk.edu.cn/dbAMP.