High-Throughput Metabolic Pattern Screening Strategy for Early Colorectal and Gastric Cancers Based on Covalent Organic Frameworks-Assisted Laser Desorption/Ionization Mass Spectrometry.

Precise early diagnosis and staging are conducive to improving the prognosis of colorectal cancer (CRC) and gastric cancer (GC) patients. However, due to intrusive inspections and limited sensitivity, the prevailing diagnostic methods impede precisely large-scale screening. In this work, we reported a high-throughput serum metabolic patterns (SMP) screening strategy based on covalent organic frameworks-assisted laser desorption/ionization mass spectrometry (hf-COFsLDI-MS) for early diagnosis and staging of CRC and GC. Notably, 473 high-quality SMP were extracted without any tedious sample pretreatment and coupled with multiple machine learning algorithms; the area under the curve (AUC) value is 0.938 with 96.9% sensitivity for early CRC diagnosis, and the AUC value is 0.974 with 100% sensitivity for early GC diagnosis. Besides, the discrimination of CRC and GC is accomplished with an AUC value of 0.966 for the validation set. Also, the screened-out features were identified by MS/MS experiments, and 8 metabolites were identified as the biomarkers for CRC and GC. Finally, the corresponding disordered metabolic pathways were revealed, and the staging of CRC and GC was completed. This work provides an alternative high-throughput screening strategy for CRC and GC and highlights the potential of metabolic molecular diagnosis in clinical applications.

Crucial roles of specialized chitinases in elytral and hindwing cuticles construction in Leptinotarsa decemlineata.

BACKGROUND: The Colorado potato beetle (CPB), Leptinotarsa decemlineata, is a major potato (Solanum tuberosum) pest, infesting over 16 million km2 and causing substantial economic losses. The insect cuticle forms an apical extracellular matrix (ECM) envelope covering exposed organs to direct morphogenesis and confer structural protection. While select chitinase (Cht) genes have proven essential for larval development, their potential activities directing ECM remodeling underlying adult wing maturation remain undefined. RESULTS: We investigated the expression patterns and performed an oral RNA interference (RNAi) screen targeting 19 LdChts in late-instar L. decemlineata larvae. Subsequently, we assessed their effects on adult eclosion and wing characteristics. Knockdown of LdCht5, LdCht7, LdCht10, LdIDGF2, and LdIDGF4, as well as others from group IV (LdCht15, LdCht12, LdCht17, and LdCht13) and group VII-X (LdCht2, LdCht11, LdCht1, and LdCht3), resulting in shrunken, misshapen elytra with reduced areal density, as well as transverse wrinkling and impaired wing-tip folding in hindwings. Scanning electron micrographs revealed eroded elytral ridges alongside thinned, ruptured hindwing veins, indicative of mechanical fragility post-LdCht suppression. Spectroscopic analysis uncovered biomolecular alterations underlying the elytral anomalies, including decreases in peaks representing chitin, proteins, and lipids. This loss of essential extracellular matrix components provides evidence for the fragility, wrinkling, and shrinkage observed in the RNAi groups. CONCLUSION: Our findings elucidate the crucial role of chitinases in the turnover of chitinous cuticles on beetle wings, offering insights into RNAi-based control strategies against this invasive pest. This article is protected by copyright. All rights reserved.

Endovenous Microwave Ablation Versus Laser Ablation for Small Saphenous Vein Varicosis.

INTRODUCTION: Laser and radiofrequency ablation are two thermal ablation methods currently widely used to treat lower limb venous insufficiency. However, very few studies have been conducted on the use of microwaves, a form of thermal ablation, for the treatment of small saphenous vein (SSV) insufficiency. This study aimed to examine the efficacy and safety of endovenous microwave ablation (EMA) for the treatment of SSV insufficiency. METHODS: The clinical data of 126 patients (126 lower limbs) with SSV insufficiency (SSV trunk reflux time ≥ 500 ms on lower limb color Doppler ultrasound) treated at the Surgery Department of The Sixth People's Hospital of Zhuji from January 2020 to June 2022 were analyzed retrospectively; 64 patients underwent EMA and 62 underwent endovenous laser ablation (EVLA). The perioperative marker data [duration of surgery, duration of hospitalization, length of thermal ablation, duration of thermal ablation, number of incisions, and numerical pain rating scale (NPRS)], complication data [skin ecchymosis, skin burns, surgical site infection, paresthesia, deep vein thrombosis (DVT), and heat-induced thrombosis (EHIT)], venous clinical severity score (VCSS), chronic venous disease quality of life questionnaire (CIVIQ-20) before and 1, 3, 12 months after surgery, and SSV trunk occlusion rate at 12 months after surgery were compared between the two groups. RESULTS: No significant differences in the surgery or hospitalization durations were observed between the two groups. There were no significant differences in the length of the SSV that required thermal ablation between the two groups; however, the thermal ablation time was shorter in the EMA group than that in the EVLA group (6.14 ± 1.47 min vs 7.05 ± 1.16 min, P < 0.001). There were no statistical differences in the number of incisions, volume of tumescent solution used, or quantity of sclerosing foam used. The NPRS scores of the EMA group at 24 h and 72 h after surgery were significantly greater than those of the EVLA group (4.03 ± 0.98 vs 3.52 ± 1.28, P = 0.013; 3.78 ± 1.06 vs 3.15 ± 1.03, P = 0.001). Moreover, the two groups showed no significant difference in the NPRS score at 1 month (1.14 ± 0.84 vs 1.07 ± 0.75, P = 0.623). The EMA and EVLA group patients experienced similar postoperative complications. The VCSS and CIVIQ-20 score significantly improved at 1, 3, and 12 months after surgery. The VCSS and CIVIQ-20 scores were compared between the two groups at 12 months after surgery, and there were no significant differences (1.44 ± 0.63 vs 1.56 ± 0.56, P = 0.261; 24.24 ± 4.96 vs 25.19 ± 5.36, P = 0.304). There was no significant difference in the incidence of SSV trunk occlusion at 12 months after surgery between the two groups (95.31% vs 96.77%, OR 1.475; 95% CI 0.238-9.146, P = 1.000). CONCLUSION: EMA and EVLA are equally effective treatment methods for SSV insufficiency. EMA is associated with higher NPRS scores in the early postoperative period.

2D Tellurium Films Based Self-drive Near Infrared Photodetector.

To reduce the amount of energy consumed in integrated circuits, high efficiency with the lowest energy is always expected. Self-drive device is one of the options in the pursuit of low power nanodevices. It is a typical strategy to form an internal electric field by constructing a heterojunction in self-drive semiconductor system. Here, a two-step method is proposed to prepare high quality centimeter-sized 2D tellurium (Te) thin film with hall mobility as high as 37.3 cm2V-1s-1, and the 2D Te film is further assembled with silicon to form a heterojunction for self-drive photodetector, which can realize effective detection from visible to near infrared bands. The photodetectivity of the heterojunctions can reach 1.58 × 1011 Jones under the illumination of 400 nm@ 1.615 mW/cm2 and 2.08 x 108 Jones under the illumination of 1550 nm@ 1.511mW/cm2 without bias. Our experiments demonstrate the potential of 2D tellurium thin films for wide band and near infrared integrated device applications.

Deep Learning-Assisted Spectrum-Structure Correlation: State-of-the-Art and Perspectives.

Spectrum-structure correlation is playing an increasingly crucial role in spectral analysis and has undergone significant development in recent decades. With the advancement of spectrometers, the high-throughput detection triggers the explosive growth of spectral data, and the research extension from small molecules to biomolecules accompanies massive chemical space. Facing the evolving landscape of spectrum-structure correlation, conventional chemometrics becomes ill-equipped, and deep learning assisted chemometrics rapidly emerges as a flourishing approach with superior ability of extracting latent features and making precise predictions. In this review, the molecular and spectral representations and fundamental knowledge of deep learning are first introduced. We then summarize the development of how deep learning assist to establish the correlation between spectrum and molecular structure in the recent 5 years, by empowering spectral prediction (i.e., forward structure-spectrum correlation) and further enabling library matching and de novo molecular generation (i.e., inverse spectrum-structure correlation). Finally, we highlight the most important open issues persisted with corresponding potential solutions. With the fast development of deep learning, it is expected to see ultimate solution of establishing spectrum-structure correlation soon, which would trigger substantial development of various disciplines.

Biomechanical comparative study on external fixators of new configurations in the treatment of Tile C pelvic injury.

To compare the biomechanical properties of several anterior pelvic ring external fixators with two new configurations in the treatment of Tile C pelvic fractures, in order to evaluate the effectiveness of the new configurations and provide a reference for their clinical application. A finite element model of a Tile C pelvic ring injury (unilateral longitudinal sacral fracture and ipsilateral pubic fracture) was constructed. The pelvis was fixed with iliac crest external fixator (IC), anterior inferior iliac spine external fixator (AIIS), combination of IC and AIIS, combination of anterior superior iliac spine external fixator (ASIS) and AIIS, and S1 sacroiliac screw in 5 types of models. The stability indices of the anterior and posterior pelvic rings under vertical longitudinal load, left-right compression load and anterior-posterior shear load were quantified and compared. In the simulated bipedal standing position, the results of the vertical displacement of the midpoint on the upper surface of the sacrum are consistent with the displacement of the posterior rotation angle, and the order from largest to smallest is IC, AIIS, ASIS + AIIS, IC + AIIS and S1 screw. The longitudinal displacement of IC is greater than that of the other models. The displacements of ASIS + AIIS and IC + AIIS are similar and the latter is smaller. In the simulated semi-recumbent position, the vertical displacement and posterior rotation angle displacement of the midpoint on the upper surface of the sacrum are also consistent, ranking from large to small: IC, AIIS, ASIS + AIIS, IC + AIIS and S1 screw. Under the simulated left-right compression load state, the lateral displacements of the highest point of the lateral sacral fracture end are consistent with the highest point of the lateral pubic fracture end, and the order from large to small is S1 screw, IC, AIIS, ASIS + AIIS and IC + AIIS, among which the displacements of S1 screw and IC are larger, and the displacements of ASIS + AIIS and IC + AIIS are similar and smaller than those of other models. The displacements of IC + AIIS are smaller than those of ASIS + AIIS. Under the simulated anterior-posterior shear load condition, the posterior displacements of the highest point of the lateral sacral fracture end and the highest point of the lateral pubic fracture end are also consistent, ranking from large to small: IC, AIIS, ASIS + AIIS, IC + AIIS and S1 screw. Among them, the displacements of IC and AIIS are larger. The displacements of ASIS + AIIS and IC + AIIS are similar and the latter are smaller. For the unstable pelvic injury represented by Tile C pelvic fracture, the biomechanical various stabilities of the combination of IC and AIIS are superior to those of the external fixators of conventional configurations. The biomechanical stabilities of the combination of ASIS and AIIS are also better than those of the external fixators of conventional configurations, and slightly worse than those of the combination of IC and AIIS. Compared with sacroiliac screw and conventional external fixators, the lateral stabilities of IC + AIIS and ASIS + AIIS are particularly prominent.

Circulating microbiome DNA as biomarkers for early diagnosis and recurrence of lung cancer.

Lung cancer mortality is exacerbated by late-stage diagnosis. Emerging evidence indicates the potential clinical significance of distinct microbial signatures as diagnostic and prognostic biomarkers across various cancers. However, circulating microbiome DNA (cmDNA) profiles are underexplored in lung cancer (LC). Here, whole-genome sequencing is performed on plasma of LC patients and healthy controls (HCs). Differentially enriched microbial species are identified between LC and HC. A diagnostic model is developed, which has a high sensitivity of 87.7% and achieves an AUC of 93.2% in the independent validation dataset. Crucially, this model demonstrates the capability to detect early-stage LC, achieving a sensitivity of 86.5% for stage I and 87.1% for tumors <1 cm. In addition, we construct a cmDNA model for recurrence, which precisely predicts LC recurrence after surgery. Overall, this study highlights the significant alterations of cmDNA profiles in LC, indicating its potential as biomarkers for early diagnosis and recurrence.

Self-distillation framework for document-level relation extraction in low-resource environments.

The objective of document-level relation extraction is to retrieve the relations existing between entities within a document. Currently, deep learning methods have demonstrated superior performance in document-level relation extraction tasks. However, to enhance the model's performance, various methods directly introduce additional modules into the backbone model, which often increases the number of parameters in the overall model. Consequently, deploying these deep models in resource-limited environments presents a challenge. In this article, we introduce a self-distillation framework for document-level relational extraction. We partition the document-level relation extraction model into two distinct modules, namely, the entity embedding representation module and the entity pair embedding representation module. Subsequently, we apply separate distillation techniques to each module to reduce the model's size. In order to evaluate the proposed framework's performance, two benchmark datasets for document-level relation extraction, namely GDA and DocRED are used in this study. The results demonstrate that our model effectively enhances performance and significantly reduces the model's size.

[Effect of Intelligent Health Education Based on Health Belief Model on Patients With Kinesophobia After Surgical Treatment of Cervical Spondylosis]. / åŸºäºŽå¥åº·ä¿¡å¿µæ¨¡å¼çš„æ™ºèƒ½å¥åº·æ•™è‚²åœ¨é¢ˆæ¤Žç— æœ¯åŽæåŠ¨ç—‡æ‚£è€ ä¸­çš„æ•ˆæžœç ”ç©¶.

Objective: To explore the application effect of intelligent health education based on the health belief model on patients with postoperative kinesophobia after surgical treatment of cervical spondylosis. Methods: A prospective cohort study was conducted with patients who underwent anterior cervical discectomy, decompression, and fusion surgery with a single central nerve and spine center, and who had postoperative kinesophobia, ie, fear of movement. The patients made voluntary decisions concerning whether they would receive the intervention of intelligent health education. The patients were divided into a control group and an intelligent education group and the intervention started on the second day after the surgery. The intelligent education group received intelligent education starting from the second day after surgery through a WeChat widget that used the health belief model as the theoretical framework. The intelligent health education program was designed according to the concept of patient problems, needs, guidance, practice, and feedbacks. It incorporated four modules, including knowledge, intelligent exercise, overcoming obstacles, and sharing and interaction. It had such functions as reminders, fun exercise, shadowing exercise, monitoring, and documentation. Health education for the control group also started on the second day after surgery and was conducted by a method of brochures of pictures and text and WeChat group reminder messages. The participants were surveyed before discharge and 3 months after their surgery. The primary outcome measure compared between the two groups was the degree of kinesophobia. Secondary outcome measures included differences in adherence to functional exercise (Functional Exercise Adherence Scale), pain level (Visual Analogue Scale score), degree of cervical functional impairment (Cervical Disability Index), and quality of life (primarily assessed by the Quality of Life Short Form 12 [SF-12] scale for psychological and physiological health scores). Results: A total of 112 patients were enrolled and 108 patients completed follow-up. Eventually, there were 53 cases in the intelligent education group and 55 cases in the control group. None of the patients experienced any sports-related injuries. There was no statistically significant difference in the primary and secondary outcome measures between the two groups at the time of discharge. At the 3-month follow-up after the surgery, the level of kinesophobia in the intelligent education group (25.72±3.90) was lower than that in the control group (29.67±6.16), and the difference between the two groups was statistically significant (P<0.05). In the intelligent education group, the degree of pain (expressed in the median [25th percentile, 75th percentile]) was lower than that of the control group (0 [0, 0] vs. 1 [1, 2], P<0.05), the functional exercise adherence was better than that of the control group (63.87±7.26 vs. 57.73±8.07, P<0.05), the psychological health was better than that of the control group (40.78±3.98 vs. 47.78±1.84, P<0.05), and the physical health was better than that of the control group (43.16±4.41 vs. 46.30±3.80, P<0.05), with all the differences being statistically significant. There was no statistically significant difference in the degree of cervical functional impairment between the two groups (1 [1, 2] vs. 3 [2, 7], P>0.05). Conclusion: Intelligent health education based on the health belief model can help reduce the degree of kinesophobia in patients with postoperative kinesophobia after surgical treatment of cervical spondylosis and improve patient prognosis.

Hovenia dulcis: a Chinese medicine that plays an essential role in alcohol-associated liver disease.

Globally, alcohol-associated liver disease (ALD) has become an increased burden for society. Disulfirams, Benzodiazepines (BZDs), and corticosteroids are commonly used to treat ALD. However, the occurrence of side effects such as hepatotoxicity and dependence, impedes the achievement of desirable and optimal therapeutic efficacy. Therefore, there is an urgent need for more effective and safer treatments. Hovenia dulcis is an herbal medicine promoting alcohol removal clearance, lipid-lowering, anti-inflammatory, and hepatoprotective properties. Hovenia dulcis has a variety of chemical components such as dihydromyricetin, quercetin and beta-sitosterol, which can affect ALD through multiple pathways, including ethanol metabolism, immune response, hepatic fibrosis, oxidative stress, autophagy, lipid metabolism, and intestinal barrier, suggesting its promising role in the treatment of ALD. Thus, this work aims to comprehensively review the chemical composition of Hovenia dulcis and the molecular mechanisms involved in the process of ALD treatment.

Non-Volatile Memory Based on ZnO Thin-Film Transistor with Self-Assembled Au Nanocrystals.

Non-volatile memory based on thin-film transistor is crucial for system-on-panel and flexible electronic systems. Achieving high-performance and reliable thin-film transistor (TFT) memory still remains challenging. Here, for the first time, we present a ZnO TFT memory utilizing self-assembled Au nanocrystals with a low thermal budget, exhibiting excellent memory performance, including a program/erase window of 9.8 V, 29% charge loss extrapolated to 10 years, and remarkable endurance characteristics. Moreover, the memory exhibits favorable on-state characteristics with mobility, subthreshold swing, and current on-off ratio of 17.6 cm2V-1s-1, 0.71 V/dec, and 107, respectively. Our study shows that the fabricated TFT memory has great potential for practical applications.

Effect of early mobilization on the development of pneumonia in patients with traumatic brain injury in the neurosurgical intensive care unit: A historical controls study.

BACKGROUND: Pneumonia has a high incidence in traumatic brain injury (TBI) patients and lacks effective treatments. Early mobilization (EM) may be a potentially effective treatment. AIM: To explore the impact of EM on TBI-related pneumonia in the neurosurgical intensive care unit (NICU). METHOD: This study was a historical control study. 100 TBI patients who received EM intervention were prospectively included as the experimental group (EM cohort), and 250 TBI patients were retrospectively included as the control group. The propensity score matching (PSM) method was employed to balance baseline and minimize potential bias. The relationship between EM and TBI-related pneumonia was investigated by univariate and multivariate logistic regression, then further determined by subgroup analysis. The influence of other variables was excluded by interaction analyses. Finally, the effect of EM on the prognosis of TBI patients was analysed by comparing the Glasgow Coma Scale (GCS) and the hospital stay. RESULTS: After screening, 86 patients were included in the EM cohort and 199 patients were included in the control cohort. There were obvious differences between the two cohorts at baseline, and these differences were eliminated after PSM, when the incidence of pneumonia was significantly lower in the EM cohort than in the control cohort (35.0% vs. 61.9%, p < .001). Multivariate logistic regression showed that EM was an independent risk factor for TBI-related pneumonia and was significantly associated with a decreased incidence of pneumonia. This correlation was present in most subgroups and was not affected by other variables (p for interaction >.05). Patients in the EM cohort had shorter length of ICU stay (6 vs. 7 days, p = .017) and higher GCS at discharge (12 vs. 11, p = .010). CONCLUSION: EM is a safe and effective treatment for TBI patients in NICU, which can reduce the incidence of pneumonia, help to improve prognosis and shorten the length of ICU stay. RELEVANCE TO CLINICAL PRACTICE: Although the utilization rate of EM is low in TBI patients for various reasons, EM is still an effective method to prevent complications. Our study confirms that a scientific and detailed EM strategy can effectively reduce the incidence of pneumonia while ensuring the safety of TBI patients, which is worthy of further research and clinical application.

Eutectogel Electrolyte Constructs Robust Interfaces for High-Voltage Safe Lithium Metal Battery.

Dramatic growth of lithium dendrite, structural deterioration of LiCoO2 (LCO) cathode at high voltages, and unstable electrode/electrolyte interfaces pose significant obstacles to the practical application of high-energy-density LCO||Li batteries. In this work, a novel eutectogel electrolyte is developed by confining the nonflammable eutectic electrolyte in a polymer matrix. The eutectogel electrolyte can construct a robust solid electrolyte interphase (SEI) with inorganic-rich LiF and Li3N, contributing to a uniform Li deposition. Besides, the severe interface side reactions between LCO cathode and electrolyte can be retarded with an in situ formed protective layer. Correspondingly, Li||Li symmetrical cells achieve highly reversible Li plating/stripping over 1000 h. The LCO||Li full cell can maintain 72.5% capacity after 1500 cycles with a decay rate of only 0.018% per cycle at a high charging voltage of 4.45 V. Moreover, the well-designed eutectogel electrolyte can even enable the stable operation of LCO at an extremely high cutoff voltage of 4.6 V. This work introduces a promising avenue for the advancement of eutectogel electrolytes, the nonflammable nature and well-regulated interphase significantly push forward the future application of lithium metal batteries and high-voltage utilization of LCO cathode.

Direct and Inverse Spin Splitting Effects in Altermagnetic RuO2.

Recently, the altermagnetic materials with spin splitting effect (SSE), have drawn significant attention due to their potential to the flexible control of the spin polarization by the Néel vector. Here, the direct and inverse altermagnetic SSE (ASSE) in the (101)-oriented RuO2 film with the tilted Néel vector are reported. First, the spin torque along the x-, y-, and z-axis is detected from the spin torque-induced ferromagnetic resonance (ST-FMR), and the z-spin torque emerges when the electric current is along the [010] direction, showing the anisotropic spin splitting of RuO2. Further, the current-induced modulation of damping is used to quantify the damping-like torque efficiency (ξDL) in RuO2/Py, and an anisotropic ξDL is obtained and maximized for the current along the [010] direction, which increases with the reduction of the temperature, indicating the present of ASSE. Next, by way of spin pumping measurement, the inverse altermagnetic spin splitting effect (IASSE) is studied, which also shows a crystal direction-dependent anisotropic behavior and temperature-dependent behavior. This work gives a comprehensive study of the direct and inverse ASSE effects in the altermagnetic RuO2, inspiring future altermagnetic materials and devices with flexible control of spin polarization.

[Scale Effects of Landscape Pattern on Impacts of River Water Quality： A Meta-analysis].

The landscape pattern determines water pollution source and sink processes and plays an important role in regulating river water quality. Due to scale effects, studies on the relationship between landscape pattern and river water quality showed variance at different scales. However, there is still a lack of integrated study on the scale effect of landscape pattern and river water quality dynamics. This study collected 4 041 data from results of previous publications to address the characteristics of landscape pattern and river water quality dynamics at different scales and to identify the key temporal and spatial scales as well as landscape pattern indices for regulating river water quality. The results indicated that, compared to precipitation events, base flow periods, and interannual scales, the high-flow period was the key temporal scale for linking landscape pattern on river water quality. Compared to the watershed scale, the landscape pattern of buffer zones had a greater impact on river water quality. The high-flow period-buffer zone scale was the key spatiotemporal coupling scale for linking landscape pattern and river water quality. Compared to croplands, water bodies, grasslands, and the overall landscape of the watershed, the landscape pattern of forests and urban areas had a greater impact on river water quality. Fragmentation degree was the most important landscape pattern factor regulating river water quality. In river water quality management, it is important to focus on the landscape configuration of buffer zones, increase forest area, reduce patch density of forests and water bodies, and decrease the aggregation degree of urban areas.

Investigation into the impact of CeO2 morphology regulation on the oxidation process of dichloromethane.

Four distinct CeO2 catalysts featuring varied morphologies (nanorods, nanocubes, nanoparticles, and nano spindle-shaped) were synthesized through a hydrothermal process and subsequently employed in the oxidation of dichloromethane (DCM). The findings revealed that the nano spindle-shaped CeO2 exhibited exposure of crystal faces (111), demonstrating superior catalytic oxidation performance for DCM with a T90 of 337 °C and notably excellent low-temperature catalytic activity (T50 = 192 °C). The primary reaction products were identified as HCl and CO2. Through obvious characterizations, it showed that the excellent catalytic activity presented by CeO2-s catalyst might be related to the higher oxygen vacancy concentration, surface active oxygen content, and superior redox performance caused by specific exposed crystal planes. Meanwhile, CeO2-s catalyst owned outstanding stability, reusability, and water inactivation regeneration, which had tremendous potential in practical treatment.

Degree of paraxiality of radially polarized twisted multi-Gaussian Schell-model beams.

The degree of paraxiality (DOP) of a radially polarized twisted multi-Gaussian Schell-model (RPT MGSM) beam is discussed, and the influence of the source parameters on its DOP is studied. It is shown that the parameters of the beam source, including the boundary characteristic, the beam waist width, the coherence width of the source correlation, and the twist factor, have a significant impact on the DOP of the RPT MGSM beam. To explain the behaviors of the DOP, the far-field divergence angle of this beam is also discussed.

Differences in choroidal responses to near work between myopic children and young adults.

BACKGROUND: Near work is generally considered as a risk factor for myopia onset and progression. This study aimed to investigate the choroidal responses to a brief-period of near work in children and young adults. METHODS: Thirty myopic medical students (aged 18-28 years) and 30 myopic children (aged 8-12 years) participated in this study. The submacular total choroidal area (TCA), luminal area (LA), stromal area (SA), choroidal vascularity index (CVI) and choriocapillaris flow deficit (CcFD), as well as subfoveal choroidal thickness (SFCT) were measured with swept-source optical coherence tomography/optical coherence tomography angiography (SS-OCT/OCTA) before and immediately after 20 min, 40 min, 60 min of near work at a distance of 33 cm. RESULTS: In adults, 20 min of near work induced a significant reduction in SFCT (- 5.1 ± 6.5 µm), LA [(- 19.2 ± 18.6) × 103 µm2], SA [(- 8.2 ± 12.6) × 103 µm2] and TCA [(- 27.4 ± 24.9) × 103 µm2] (all P < 0.01). After 40 min of near work, LA was still reduced [(- 9.4 ± 18.3) × 103 µm2], accompanied with a decreased CVI (- 0.39% ± 0.70%) and an increased CcFD (0.30% ± 0.78%) (all P < 0.05). After 60 min of near work, CVI was still reduced (- 0.28% ± 0.59%), and CcFD was still increased (0.37% ± 0.75%) (all P < 0.05). In children, 20 min of near work induced a significant increase in CcFD (0.55% ± 0.64%), while 60 min of near work induced increases in SA [(7.2 ± 13.0) × 103 µm2] and TCA [(9.7 ± 25.3) × 103 µm2] and a reduction in CVI (- 0.28% ± 0.72%) (all P < 0.05). Children exhibited lower near work-induced LA and TCA reduction than adults, with a mean difference of - 0.86% and - 0.82%, respectively (all P < 0.05). CONCLUSIONS: The temporal characteristics and magnitude of changes of choroidal vascularity and choriocapillaris perfusion during near work was not identical between children and adults. The initial response to near work was observed in choriocapillaris in children, whereas it was observed in the medium- and large-sized vessels in adults. TRIAL REGISTRATION: Clinical Trial Registry (ChiCTR), ChiCTR2000040205. Registered on 25 November 2020, https://www.chictr.org.cn/bin/project/edit?pid=64501 .

Facile synthesis of amino-modified magnetic covalent organic framework for the efficient extraction and determination of anionic azo dyes in carbonated beverages.

In this work, a novel magnetic covalent organic framework (COF (TpPa-NH2) @ Fe3O4) was prepared via two step by simple solvent method for the extraction of anionic azo dye residues in food. The as-prepared COF (TpPa-NH2) @ Fe3O4 nanocomposite was characterised by scanning electron microscope, transmission electron microscope, Fourier transform-infrared spectroscopy, X-ray diffraction and vibrating sample magnetometer. Before high-performance liquid chromatography with ultraviolet detection (HPLC-UV) determination, it was used as magnetic adsorbent for magnetic solid-phase extraction (MSPE) to extract and pre-concentrate three anionic azo dyes in carbonated beverage samples. The several key extraction and desorption parameters affecting the extraction recovery rate were investigated, including extraction time, pH of the solution, amount of material, adsorption time, elution solvent, pH of elution solvent, type of elution solvent, elution volume and elution time. Under optimised conditions, this method has good linearity between 5 and 500 µg L-1 (correlation coefficient > 0.9986). The limit of detection was 2.3-3.4 µg L-1. The recoveries of the samples were between 87.5 and 96.9%, and the relative standard deviation lower than 4.6%. The developed method has broad application prospects for the analysis of anionic azo dyes in carbonated beverages.

Flexible sensors with zero Poisson's ratio.

Flexible sensors have been developed for the perception of various stimuli. However, complex deformation, usually resulting from forces or strains from multi-axes, can be challenging to measure due to the lack of independent perception of multiaxial stimuli. Herein, flexible sensors based on the metamaterial membrane with zero Poisson's ratio (ZPR) are proposed to achieve independent detection of biaxial stimuli. By deliberately designing the geometric dimensions and arrangement parameters of elements, the Poisson's ratio of an elastomer membrane can be modulated from negative to positive, and the ZPR membrane can maintain a constant transverse dimension under longitudinal stimuli. Due to the accurate monitoring of grasping force by ZPR sensors that are insensitive to curvatures of contact surfaces, rigid robotic manipulators can be guided to safely grasp deformable objects. Meanwhile, the ZPR sensor can also precisely distinguish different states of manipulators. When ZPR sensors are attached to a thermal-actuation soft robot, they can accurately detect the moving distance and direction. This work presents a new strategy for independent biaxial stimuli perception through the design of mechanical metamaterials, and may inspire the future development of advanced flexible sensors for healthcare, human-machine interfaces and robotic tactile sensing.