A machine vision tool for multi-color H2O2 sensing by MoOx nanoparticles with oxygen vacancies.

Improving the ease of operation and portability of hydrogen peroxide (H2O2) detection in daily production and life holds significant application value. However, it remains a challenge to achieve rapid colorimetric detection of H2O2 and color change quantification. In this study, we achieved rapid and visual detection of H2O2 by MoOx (2 ≤ x ≤ 3) nanoparticles with rich oxygen vacancies using machine vision. As the concentration of H2O2 increases, the detection system exhibited a visible multi-color change from blue to green and then yellow and the absorption peak near 680 nm measured by the UV-visible spectrophotometer gradually decreased. With excellent sensitivity, a wide linear range of 0.1-600 µmol/L, concentrations as low as 0.1 µmol/L can be detected with good selectivity towards H2O2. The sensing mechanism of detecting H2O2 by the change of oxygen vacancies in MoOx was revealed through characterization methods such as XPS, EPR, and DFT. In addition, the Hue, Saturation, Value (HSV) visual analysis system based on MoOx was constructed to assist in the rapid, portable, and sensitive monitoring of H2O2 in practical application scenarios. This work offers an easy-to operate, low cost, and convenience for achieving rapid colorimetric determination of H2O2 and has broad application prospects in daily life and industrial production.

Enhancing the wear resistance of titanium alloys through the synthesis of layered double hydroxides combined with titanium nitride coatings.

Given the notoriously poor wear performance of Ti6Al4V (TC4) alloys, two types of MgAl layered double hydroxides (LDHs) were synthesized as lubrication additives. Systematic tribological tests were conducted to explore the performance of the TC4 alloy with these MgAl LDHs at varying concentrations in oil. It was found that, with increasing additive concentration, the wear resistance of TC4 significantly improved. Notably, MgAl LDHs with a hexagonal nanosheet structure exhibited superior lubrication performance, reducing the coefficient of friction (COF) by approximately 67.94 % compared to dry friction, and markedly enhancing the anti-wear characteristics of the TC4 alloy. Furthermore, to improve the utility of TC4 alloy in industrial applications, titanium nitride (TiN) coatings with excellent mechanical properties were deposited onto the TC4 substrate using arc ion deposition. A comprehensive analysis of the tribological behavior and wear mechanisms of TiN coating with the two MgAl LDHs additives was also conducted. Results indicated that the combination of TiN hard coatings and MgAl LDHs lubricants achieved high wear resistance for the TC4 substrate. In conclusion, a low-wear synergistic protection system integrating TiN coatings and high-performance MgAl LDHs lubricants was developed, demonstrating effective protection for TC4 alloys. This strategy not only presents a novel approach for reducing wear in TC4 alloys but also provides a reliable method for safeguarding and ensuring the long-term stability of titanium alloys mechanical components under demanding conditions.

A Prime-Boost Vaccination Approach Induces Lung Resident Memory CD8+ T Cells Derived from Central Memory T Cells That Prevent Tumor Lung Metastasis.

Memory T cells play a key role in immune protection against cancer. Vaccine-induced tissue-resident memory T (TRM) cells in the lung have been shown to protect against lung metastasis. Identifying the source of lung TRM cells can help to improve strategies, preventing tumor metastasis. Here, we found that a prime-boost vaccination approach using intramuscular DNA vaccine priming, followed by intranasal live-attenuated influenza-vectored vaccine (LAIV) boosting induced higher frequencies of lung CD8+ TRM cells compared with other vaccination regimens. Vaccine-induced lung CD8+ TRM cells, but not circulating memory T cells, conferred significant protection against metastatic melanoma and mesothelioma. Central memory T (TCM) cells induced by the DNA vaccination were major precursors of lung TRM cells established after the intranasal LAIV boost. Single-cell RNA sequencing analysis indicated that transcriptional reprogramming of TCM cells for differentiation into TRM cells in the lungs started as early as day 2 post the LAIV boost. Intranasal LAIV altered the mucosal microenvironment to recruit TCM cells via CXCR3-dependent chemotaxis and induced CD8+ TRM-associated transcriptional programs. These results identified TCM cells as the source of vaccine-induced CD8+ TRM cells that protect against lung metastasis. Significance: Prime-boost vaccination shapes the mucosal microenvironment and reprograms central memory T cells to generate lung resident memory T cells that protect against lung metastasis, providing insights for the optimization of vaccine strategies.

Scoparone alleviates nonalcoholic fatty liver disease by modulating the PPARα signaling pathway.

Scoparone (Scop), a natural compound derived from Artemisia capillaris Thunb, has demonstrated efficacy in improving nonalcoholic fatty liver disease (NAFLD). This study aims to explore the underlying mechanism. NAFLD was induced by a high-fat diet in C57BL/6J mice, followed by an 8-week treatment with Scop. The effect of Scop on mice NAFLD was assessed. mRNA sequencing of liver tissues was performed to identify potential targets, which were validated through in vitro experiments using palmitic acid-induced AML12 hepatocytes. The results demonstrated that Scop promoted lipid metabolism, insulin sensitivity, and liver function, and alleviated inflammation in NAFLD mice. mRNA sequencing identified the peroxisome proliferator-activated receptor α (PPARα) signaling pathway as a target of Scop, which was further confirmed by in vivo and in vitro experiments. Molecular docking studies showed that Scop could bind stably to human PPARα. In summary, Scop was proven to alleviate lipid metabolism dysfunction and inflammation by targeting the PPARα signaling pathway, which provides a basis for its potential application in NAFLD treatment.

[Thumbtack needle at front-mu points for abnormal behavior in children with autism spectrum disorders].

OBJECTIVE: To compare the clinical effect of thumbtack needle at front-mu points combined with conventional rehabilitation training and simple conventional rehabilitation training in the treatment of autism spectrum disorders (ASD). METHODS: A total of 40 children with ASD were randomly divided into a combination group (20 cases, 3 cases dropped out) and a conventional rehabilitation group (20 cases, 3 cases dropped out). Conventional rehabilitation training i.e. language-cognition training and comprehensive education training was adopted in the conventional rehabilitation group, once a day, 5 days a week. On the basis of the treatment in the conventional rehabilitation group, thumbtack needle was applied at Zhongwan (CV 12), bilateral Tianshu (ST 25) and Guanyuan (CV 4) in the combination group, the needles were retained for 3 days each time, 3-day interval was taken between each treatment, for 5 times per month. One-month treatment was as one course and a total of 3 courses were required in both groups, with 10-day break between each course. Before and after treatment, the scores of autism behavior checklist (ABC), childhood autism rating scale (CARS), TCM spleen-stomach symptoms and Achenbach child behavior checklist (CBCL) were observed, and the serum ratio of glutamate and gamma-aminobutyric acid (Glu/GABA) was measured. RESULTS: After treatment, the scores of ABC, CARS and CBCL were decreased compared with those before treatment (P<0.05, P<0.01) in both groups, the TCM spleen-stomach symptoms score was decreased compared with that before treatment (P<0.05) in the combination group; the changes in the scores of ABC, CARS, TCM spleen-stomach symptoms and CBCL, as well as the serum Glu/GABA in the combination group were lager than those in the conventional rehabilitation group (P<0.05, P<0.01). CONCLUSION: Both thumbtack needle at front-mu points combined with conventional rehabilitation training and simple conventional rehabilitation training can effectively treat ASD, the combination treatment has superior effect on improving the abnormal behavior, spleen-stomach symptoms and balance of nerve impulse and inhibition.

Study on the Improvement of the Degradation Efficiency of Methylene Blue Using Pulsed Direct-Current Self-Power Supply.

Effective treatment of dye wastewater is currently a great concern and a research hotspot. Electrocatalysis has unique advantages in treating toxic and harmful refractory dye wastewater; however, it requires an external power supply, which increases energy consumption and cost. As a new energy collection technology, triboelectric nanogenerators (TENGs) have gained considerable attention. In this study, an origami multilayer spherical friction nanogenerator (Q-TENG) was developed for the removal of methylene blue (MB) from dye wastewater. The current and voltage output performances of Q-TENG were explored, and the removal and degradation mechanisms of MB were discussed. Results indicated that when the water wave acceleration a = 3 m/s2, the open-circuit voltage and short-circuit current reached the maximum values of 179 V and 9.4 µA, respectively. The self-powered catalytic degradation of MB using Q-TENG can produce more •OH and SO4-•, and the free radicals increase with increasing action time of Q-TENG, thus increasing the degradation efficiency of MB. This study provides a new strategy for solving the problem of high energy consumption during electrochemical reactions in wastewater treatment.

Influence of Storage Conditions on Four Chipping Potato Cultivars Developed in North Dakota.

Cold temperature storage (lower than 10 °C) has been used as a management strategy to extend marketability and reduce potato storage losses. However, cold temperatures may result in dark-colored chips through a process known as cold-induced sweetening (CIS). 'Dakota Crisp' and 'Dakota Diamond' are two North Dakota State University potato breeding program cultivar releases selected for cold-chipping ability with high tuber yield potential. Two-year storage trials were conducted to examine sugar development and tuber processing quality of four cultivars grown at three nitrogen rates under irrigated and non-irrigated field conditions. The two-way interaction between storage period and storage temperature was significant for sucrose content, glucose content, visual chip color, and Agtron values, indicating a difference in sugar development for each storage temperature profile. Among the four cultivars evaluated under both irrigated and non-irrigated production conditions, 'Dakota Pearl' accumulated significantly less sucrose and glucose compared to other cultivars under the same storage conditions. 'Dakota Crisp' produced acceptable chip color from 8.9 °C after long term storage, while 'Dakota Diamond' produced acceptable chip color from 8.9 °C for up to 6 months of storage. These results emphasize the importance of developing cultivar-specific management profiles including storage and the informational need for producers and processors in determining the best practices for individual cultivars.

Space heterogeneity of nitrogen removal functional genes, nitrogen transformation pathways and mechanisms in MEBR treating mariculture wastewater.

Membrane Electro-Bioreactor (MEBR), exhibited excellent nitrogen removal in mariculture wastewater treatment. However, the differences of microbial community and nitrogen transformation pathways on spatial scale caused by the mass transfer of reactive chlorine species (RCS) generated by electrooxidation were unclear. This study provided new insights into the space heterogeneity of ammonia transformation pathways and mechanisms. The results demonstrated an increase in the reduction of nitrate to nitrite through partial denitrification on the membrane. Coupling with dissimilatory nitrate reduction to ammonium and RCS, higher nitrate (0.3mgN/L) and TN removal (2.6mgN/L) was obtained in MEBR. Higher relative abundance of narGHI and nirB were obtained. Ammonia oxidation by biofilters was enhanced in MEBR, that ammonia removal contributed by biofilters was 32.0%, 5.2 times higher than the membrane. Relative abundance of amoABC and Nitrosomonas in biofilters were the highest. The results will provide theoretical basis for reactor configuration and operation optimization.

Psychometric Evaluation of the Traumatic Grief Inventory-Self Report Plus (TGI-SR+) in Chinese Bereaved People.

OBJECTIVE: The Traumatic Grief Inventory-Self Report Plus (TGI-SR+) measures the most recent prolonged grief disorder (PGD) symptom sets defined in the 11th edition of the International Statistical of Diseases and Related Health Problems (ICD-11) and the text revision of the fifth edition of the Diagnostical and Statistical Manual of Mental Disorders (DSM-5-TR). However, the TGI-SR+ has not yet been translated and validated in Chinese. This study aims to evaluate the psychometric properties of the Chinese translation of the TGI-SR+. METHODS: We examined the Chinese TGI-SR+'s factor structure, internal consistency, convergent validity, discriminant validity, known-groups validity, and optimal clinical cut-off scores in 443 Chinese bereaved adults. RESULTS: Confirmatory factor analyses showed that the two-factor models showed the best fit for the Chinese TGI-SR+ items assessing ICD-11 and DSM-5-TR prolonged grief symptoms. Items assessing ICD-11 and DSM-5-TR prolonged grief symptoms demonstrated good internal consistency. Associations of TGI-SR+ scores with symptom levels of prolonged grief (assessed by the International Prolonged Grief Disorder Scale), posttraumatic stress, anxiety, and depression supported convergent and discriminant validity. Associations with background/loss-related variables provided evidence for known-groups validity. Cut-off points for probable ICD-11 PGD (liberal scoring rule), probable ICD-11 PGD (conservative scoring rule), and probable DSM-5-TR PGD were ≥67, ≥75, and ≥68, respectively. DISCUSSION: The Chinese TGI-SR+ appears to be a reliable and valid measure to assess prolonged grief symptoms per ICD-11 and DSM-5-TR among Chinese bereaved adults.

Demonstration of efficient Thomson cooler by electronic phase transition.

In the 1850s, Lord Kelvin predicted the existence of a thermoelectric cooling effect inside a whole material (the Thomson effect) according to thermodynamics1, in addition to the Peltier effect that enables cooling at the junction between dissimilar materials. However, the Thomson effect is usually negligible (ΔT/T < 2%) in conventional thermoelectric materials because the entropy change in charge carriers is fairly small2, leading to the guiding principles for advancing thermoelectric cooling to be based on the framework of the Peltier effect and that the figure of merit ZT should be maximized to optimize performance. Here, we demonstrate a Thomson-effect-enhanced thermoelectric cooler using a large Thomson coefficient (τ) induced by the direct manipulation of charge entropy through an electronic phase transition in YbInCu4. The devices achieve a steady temperature span (ΔT) of >5 K from T = 38 K. Our findings suggest not only another approach to advance thermoelectric coolers in addition to improving ZT but also technologically opens opportunities for solid-state cryogenic cooling applications.

Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel.

Hydrogels are highly promising due to their soft texture and excellent biocompatibility. However, the designation and optimization of hydrogels involve numerous experimental parameters, posing challenges in achieving rapid optimization through conventional experimental methods. In this study, we leverage machine learning algorithms to optimize a dual-network hydrogel based on a blend of acrylamide (AM) and alginate, targeting applications in flexible electronics. By treating the concentrations of components as experimental parameters and utilizing five material properties as evaluation criteria, we conduct a comprehensive property assessment of the material using a linear weighting method. Subsequently, we design a series of experimental plans using the Bayesian optimization algorithm and validate them experimentally. Through iterative refinement, we optimize the experimental parameters, resulting in a hydrogel with superior overall properties, including heightened strain sensitivity and flexibility. Leveraging the available experimental data, we employ a classification algorithm to separate the cutoff data. The feature importance identified by the classification model highlights the pronounced impact of AM, ammonium persulfate, and N,N-methylene on the classification outcomes. Additionally, we develop a regression model and demonstrate its utility in predicting and analyzing the relationship between experimental parameters and hydrogel properties through experimental validation.

Development, synthesis and biological evaluation of imidazole [2,1-b] thiazole derivatives containing an indole ring for their potential anti-inflammatory properties.

In this study, in order to further search anti-inflammatory drugs with high efficiency and low toxicity, this study took the ring of indoles and imidazole [2,1-b] thiazole as the main skeleton. A total of nine new N-1-substituted derivatives of indole-2-carboxyamide-phenylimidazoles [2,1-b] thiazole (13-20) was synthesized through the processes of cyclization, amino reduction, ester hydrolysis, dehydration condensation and acyl chloride substitution. These derivatives were then tested for their ability to reduce inflammation in RAW 264.7 macrophages. There was a significant majority of these compounds that effectively suppressed the production of NO, IL-6 and TNF-α in RAW 264.7 cells that were stimulated by LPS. One of these compounds, compound 19, was shown to be capable of efficiently lowering the levels of LPS-induced over expression of a number of inflammatory mediators. The inhibition rates for compound 19 were 54.66%, 68.82% and 43.74%, respectively. Additionally, an initial structure-activity relationship evaluation was carried out. The findings indicate that the incorporation of substituted benzyl moieties at the same position provided N-benzylation compounds with a positive anti-inflammatory effect. The electrophilicity of the substituent on the benzyl group had the potential to have an effect on the anti-inflammatory effect, which is something that calls for further investigation.

Ultrapotent class I neutralizing antibodies post Omicron breakthrough infection overcome broad SARS-CoV-2 escape variants.

BACKGROUND: The spread of emerging SARS-CoV-2 immune escape sublineages, especially JN.1 and KP.2, has resulted in new waves of COVID-19 globally. The evolving memory B cell responses elicited by the parental Omicron variants to subvariants with substantial antigenic drift remain incompletely investigated. METHODS: Using the single B cell antibody cloning technology, we isolated single memory B cells, delineated the B cell receptor repertoire and conducted the pseudovirus-based assay for recovered neutralizing antibodies (NAb) screening. We analyzed the cryo-EM structures of top broadly NAbs (bnAbs) and evaluated their in vivo efficacy (golden Syrian hamster model). FINDINGS: By investigating the evolution of human B cell immunity, we discovered a new panel of bnAbs arising from vaccinees after Omicron BA.2/BA.5 breakthrough infections. Two lead bnAbs neutralized major Omicron subvariants including JN.1 and KP.2 with IC50 values less than 10 ng/mL, representing ultrapotent receptor binding domain (RBD)-specific class I bnAbs. They belonged to the IGHV3-53/3-66 clonotypes instead of evolving from the pre-existing vaccine-induced IGHV1-58/IGKV3-20 bnAb ZCB11. Despite sequence diversity, they targeted previously unrecognized, highly conserved conformational epitopes in the receptor binding motif (RBM) for ultrapotent ACE2 blockade. The lead bnAb ZCP3B4 not only protected the lungs of hamsters intranasally challenged with BA.5.2, BQ.1.1 and XBB.1.5 but also prevented their contact transmission. INTERPRETATION: Our findings demonstrated that class I bnAbs have evolved an ultrapotent mode of action protecting against highly transmissible and broad Omicron escape variants, and their epitopes are potential targets for novel bnAbs and vaccine development. FUNDING: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.

Broadband blue light emissions of one-dimensional hybrid Cu(I) halides with ultrahigh anti -water stability.

Low-dimensional organic-inorganic hybrid lead halide perovskites have attracted much interest in solid-state lighting and displays, but the toxicity and instability of lead halide are obstacles to their industrial applications, which must be overcome. As an alternative, Cu(I)-based hybrid metal halides have emerged as a new type of luminescent material owing to their diversified structure, adjustable luminescence, low toxicity and low cost. Herein, we report three one-dimensional (1D) hybrid Cu(I)-based halides with the general formula ACu2Br4 (A = [(Me)4-Pipz]2+ and [BuDA]2+ and [TMEDA]2+). These 1D hybrid Cu(I) halides display stable broadband blue emission with maximum emission peaks in the range of 445-474 nm and the highest photoluminescence quantum yield of 37.8%. Furthermore, in-depth experimental and theoretical investigations revealed that the broadband blue emissions originate from the radiative recombination of self-trapped excitons. Most importantly, there is no structural degradation and attenuation of emission intensity even after continuously soaking these halides in water for at least two months, demonstrating their ultra-high anti-water stability. Hirshfeld surface analysis shows that a large number of weak hydrogen bonds can protect the inorganic skeleton from degradation due to water. This work provides a new strategy for the design of water-stable Cu(I)-based halides with efficient blue emission and wide potential applications in humid environments.

Photocatalyzed Imino-Difluoromethylation of Alkenes with Bifunctional Oxime Esters.

Herein, we report a simple and versatile difluoromethylene-imide reaction in which a series of olefins can undergo a difluoromethylenimine reaction under photocatalytic conditions through an energy transfer (EnT) process. The reaction has mild conditions and a wide range of applicability. We successfully synthesized 27 molecules containing difluoromethylene units, featuring easily accessible starting materials and operational simplicity.

Nucleic acid-functionalized upconversion luminescence biosensor based on strand displacement-mediated signal amplification for the detection of trivalent chromium ions.

BACKGROUND: Rapid industrial development has generated serious pollution, including the presence of toxic and harmful heavy metal ions. Among them, trivalent chromium ion (Cr3+) is a very important element that poses a threat to life and health in our industrial wastewater pollution. Thus, it is important to develop efficient fluorescence methods for Cr3+ detection. In this study, an upconversion luminescence biosensor for detecting Cr3+ was constructed based on a DNAzyme, strand displacement reaction (SDR), and DNA-functionalized upconversion nanoparticles (UCNPs). RESULTS: The sulfonate-rich poly (sodium 4-styrene sulfonate) (PSS) was modified onto the surface of UCNPs, forming UCNPs@PSS. Then, NH2-Capture probe DNA (NH2-Cp) was further modified onto the UCNPs@PSS surface through sulfonylation, resulting in UCNPs@PSS@NH2-Cp. The DNAzyme activated by Cr3+ triggered the release of the primer probe (Pp), which initiated the SDR system cycle, thereby releasing a tetramethylrhodamine (TAMRA)-modified signal probe (TAMRA-Sp). Finally, UCNPs@PSS@NH2-Cp bound to TAMRA-Sp through complementary base pairing, causing UCNPs and TAMRA to approach each other. Because of the luminescence resonance energy transfer (LRET) mechanism, the upconversion luminescence (UCL) signal of the UCNPs was quenched by TAMRA, enabling the detection of Cr3+ by the change of I585/I545 ratio. This biosensor has good stability, selectivity, and sensitivity, with a linear range of 0.5-75 nM and a detection limit of 0.135 nM for Cr3+. SIGNIFICANCE AND NOVELTY: Firstly, based on LRET between UCNPs and TAMRA, the quantitative analysis of Cr3+ is achieved through the changes of ratio fluorescence. Secondly, the specificity of the biosensor is improved by utilizing the specific recognition of DNA enzymes. Thirdly, the signal amplification technology of the SDR cycle greatly improves the sensitivity of biosensor. This biosensor will be useful for future environmental safety monitoring and biopsy of biological fluids.

Lightweight CNN combined with knowledge distillation for the accurate determination of black tea fermentation degree.

Black tea is the second most common type of tea in China. Fermentation is one of the most critical processes in its production, and it affects the quality of the finished product, whether it is insufficient or excessive. At present, the determination of black tea fermentation degree completely relies on artificial experience. It leads to inconsistent quality of black tea. To solve this problem, we use machine vision technology to distinguish the degree of fermentation of black tea based on images, this paper proposes a lightweight convolutional neural network (CNN) combined with knowledge distillation to discriminate the degree of fermentation of black tea. After comparing 12 kinds of CNN models, taking into account the size of the model and the performance of discrimination, as well as the selection principle of teacher models, Shufflenet_v2_x1.0 is selected as the student model, and Efficientnet_v2 is selected as the teacher model. Then, CrossEntropy Loss is replaced by Focal Loss. Finally, for Distillation Loss ratios of 0.6, 0.7, 0.8, 0.9, Soft Target Knowledge Distillation (ST), Masked Generative Distillation (MGD), Similarity-Preserving Knowledge Distillation (SPKD), and Attention Transfer (AT) four knowledge distillation methods are tested for their performance in distilling knowledge from the Shufflenet_v2_x1.0 model. The results show that the model discrimination performance after distillation is the best when the Distillation Loss ratio is 0.8 and the MGD method is used. This setup effectively improves the discrimination performance without increasing the number of parameters and computation volume. The model's P, R and F1 values reach 0.9208, 0.9190 and 0.9192, respectively. It achieves precise discrimination of the fermentation degree of black tea. This meets the requirements of objective black tea fermentation judgment and provides technical support for the intelligent processing of black tea.

GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes.

BACKGROUND: The study of codon usage bias is important for understanding gene expression, evolution and gene design, providing critical insights into the molecular processes that govern the function and regulation of genes. Codon Usage Bias (CUB) indices are valuable metrics for understanding codon usage patterns across different organisms without extensive experiments. Considering that there is no one-fits-all index for all species, a comprehensive platform supporting the calculation and analysis of multiple CUB indices for codon optimization is greatly needed. RESULTS: Here, we release GenRCA, an updated version of our previous Rare Codon Analysis Tool, as a free and user-friendly website for all-inclusive evaluation of codon usage preferences of coding sequences. In this study, we manually reviewed and implemented up to 31 codon preference indices, with 65 expression host organisms covered and batch processing of multiple gene sequences supported, aiming to improve the user experience and provide more comprehensive and efficient analysis. CONCLUSIONS: Our website fills a gap in the availability of comprehensive tools for species-specific CUB calculations, enabling researchers to thoroughly assess the protein expression level based on a comprehensive list of 31 indices and further guide the codon optimization.

Patient-Reported Outcomes of Postoperative NSCLC Patients with or without Staged Chinese Herb Medicine Therapy during Adjuvant Chemotherapy (NALLC 2): A Randomized, Double-Blind, Placebo-Controlled Trial.

OBJECTIVE: To investigate whether the combination of chemotherapy with staged Chinese herbal medicine (CHM) therapy could enhance health-related quality of life (QoL) in non-small-cell lung cancer (NSCLC) patients and prolong the time before deterioration of lung cancer symptoms, in comparison to chemotherapy alone. METHODS: A prospective, double-blind, randomized, controlled trial was conducted from December 14, 2017 to August 28, 2020. A total of 180 patients with stage I B-IIIA NSCLC from 5 hospitals in Shanghai were randomly divided into chemotherapy combined with CHM (chemo+CHM) group (120 cases) or chemotherapy combined with placebo (chemo+placebo) group (60 cases) using stratified blocking randomization. The European Organization for Research and Treatment of Cancer (EORTC) Quality-of-Life-Core 30 Scale (QLQ-C30) was used to evaluate the patient-reported outcomes (PROs) during postoperative adjuvant chemotherapy in patients with early-stage NSCLC. Adverse events (AEs) were assessed in the safety analysis. RESULTS: Out of the total 180 patients, 173 patients (116 in the chemo+CHM group and 57 in the chemo+placebo group) were included in the PRO analyses. The initial mean QLQ-C30 Global Health Status (GHS)/QoL scores at baseline were 57.16 ± 1.64 and 57.67 ± 2.25 for the two respective groups (P>0.05). Compared with baseline, the chemo+CHM group had an improvement in EORTC QLQ-C30 GHS/QoL score at week 18 [least squares mean (LSM) change 17.83, 95% confidence interval (CI) 14.29 to 21.38]. Conversely, the chemo+placebo group had a decrease in the score (LSM change -13.67, 95% CI -22.70 to -4.63). A significant between-group difference in the LSM GHS/QoL score was observed, amounting to 31.63 points (95% CI 25.61 to 37.64, P<0.001). The similar trends were observed in physical functioning, fatigue and appetite loss. At week 18, patients in the chemo+CHM group had a higher proportion of improvement or stabilization in GHS/QoL functional and symptom scores compared to chemo+placebo group (P<0.001). The median time to deterioration was longer in the chemo+CHM group for GHS/QoL score [hazard ratio (HR)=0.33, 95% CI 0.23 to 0.48, P<0.0010], physical functioning (HR=0.43, 95% CI 0.25 to 0.75, P=0.0005), fatigue (HR=0.47, 95% CI 0.30 to 0.72, P<0.0001) and appetite loss (HR=0.65, 95% CI 0.42 to 1.00, P=0.0215). The incidence of AEs was lower in the chemo+CHM group than in the chemo+placebo group (9.83% vs. 15.79%, P=0.52). CONCLUSION: The staged CHM therapy could help improve the PROs of postoperative patients with early-stage NSCLC during adjuvant chemotherapy, which is worthy of further clinical research. (Registry No. NCT03372694).

Generic Workflow of a Highly Effective and Easy Anther Culture Method for Both Japonica and Indica Rice.

As one of the most important staple crops in the world, rice plays a pivotal role in world food security. The creation of doubled haploids based on anther culture is an important technology for rice breeding. However, at present, rice anther culture technology still faces many problems, such as genotype dependency, especially genotypes of indica rice. In this study, fifteen rice genotypes, including twelve japonica rice genotypes and three indica rice genotypes, were randomly selected and used to study anther culture by using a modified M8 medium. The results showed that the total callus induction rates of these different rice genotypes ranged from 0.81 to 13.95%, with an average of 6.64%, while the callus induction rates calculated for the top ten highest callus inductions for each rice genotype ranged from 2.75 to 17.00%, with an average of 10.56%. There were varying gaps between the total callus induction rates and the callus induction rates in these different rice genotypes. The fact that the gaps for some rice genotypes were relatively large indicated that standard tiller or anther collection was not applicable to all rice genotypes and that there was still a lot of room for improvement in the callus induction rate of some rice genotypes through optimization of the sampling method. The plantlet regeneration rates ranged from 12.55 to 456.54%, with an average of 200.10%. Although there were many albinos from anther culture for some rice genotypes, these would still meet the requirement if the rice genotypes had higher callus induction rates or regeneration rates. The percentages of seed setting of regenerated green seedlings ranged from 14% to 84%, with an average of 48.73%. Genetic diversity analysis showed that the genetic background of these different rice genotypes was representative, and the phylogenetic tree and Principal Component Analysis (PCA) divided them into indica and japonica types. Therefore, in this study, an anther culture method suitable for both indica and japonica rice genotypes was established, which could improve doubled haploid breeding in rice.