Derivatives of postbiotics (cell wall constituents) from Bacillus subtilis (LCBS1) relieve soybean meal-induced enteritis in bullfrog (Aquarana catesbeianus).

Soybean meal (SM) serves as a primary alternative to fish meal in aquafeeds. However, a high-SM diet may result in intestinal injury. Our previous study demonstrated the probiotic effects of heat-inactivated Bacillus subtilis (LCBS1) on bullfrogs (Aquarana catesbeianus) fed a high-SM diet, probably attributed to the bioactive constituent of cell wall. Therefore, in this study, the main constituents of cell wall from LCBS1, including peptidoglycan (PGN), lipoteichoic acid (LTA), cell wall protein (CWP), and whole cell wall (WCW), were extracted and added to a high-SM (~55 %) diet to investigate their probiotic effects on bullfrogs and reveal the possible mechanisms. The results indicated that bullfrogs fed the LTA of LCBS1 showed the highest weight gain, feed efficiency, and protein efficiency ratio. Additionally, the LTA of LCBS1 could activate the humoral immunity and modulate intestinal microbiota. It might activate JAK2-STAT3 and MAPK-ERK pathways, as well as up-regulate tlr5 gene to promote intestinal cell proliferation, thereby alleviating jejunal injury. The WCW of LCBS1 effectively increased the growth performance of bullfrogs by improving the humoral immunity, enhancing intestinal barrier function, and alleviating intestinal inflammatory response. The PGN and CWP of LCBS1 could stimulate the humoral immunity and enhance intestinal barrier function, but had no significant effect on the growth performance of bullfrogs. In conclusion, the LTA might be the primary bioactive constituent of heat-inactivated LCBS1, with the beneficial effects of promoting intestinal cell proliferation and enhancing intestinal barrier function, therefore alleviating the intestinal injury induced by SM on bullfrogs. This study establishes a theoretical basis for the efficient utilization of plant proteins by the application of postbiotics additive in aquafeed, which further saves the feed costs and promotes development of economically sustainable aquaculture.

Associations between soft drinks intake and primary dysmenorrhea among Chinese undergraduate female students.

Primary dysmenorrhea (PD) is a common global health concern. However, limited studies explored the association between soft drinks intake and PD among female undergraduates in China. To determine the association between soft drinks (carbonated soft drinks, etc.) as well coffee intake and the incidence/severity of PD among female undergraduates in China. We performed a cross-sectional study among 1809 female undergraduates in China from September 29, 2020 to October 22, 2020. The demographic information and menstrual information of the participants were collected by a self-administrated questionnaire. Chi-square test, ANOVA test, and logistic regression test were used to investigate the association between soft drinks intake and the incidence/severity of PD. We also conducted stratification analysis among different locations (rural or urban). The prevalence of PD was 47.1% (n = 852). There were 221 (25.9%) participants suffered from severe pain. In the participants with PD, the OR of carbonated soft drinks intake was 1.244 (95% CI 1.010-1.533). Among the participants with PD from rural areas, the OR of carbonated soft drinks intake was 1.402 (95% CI 1.045-1.881), compared with the non-carbonated soft drink group. In the participants with moderate and severe PD, the OR of coffee intake was 0.451 (95% CI 0.228-0.892), compared with the non-coffee-drinking group. There was a significant association between carbonated soft drinks intake frequency and the severity of PD (P < 0.05). Our study showed that carbonated soft drinks intake is a risk factor for PD, especially in participants from rural areas. Coffee intake is a protective factor for the severity of PD. Periodical awareness programs about adverse effects of excessive soft drink consumption should be introduced to reduce the prevalence and exacerbation of PD. Coffee intake might be helpful to relieve the severity of PD.

Textureless Deformable Object Tracking with Invisible Markers.

Tracking and reconstructing deformable objects with little texture is challenging due to the lack of features. Here we introduce "invisible markers" for accurate and robust correspondence matching and tracking. Our markers are visible only under ultraviolet (UV) light. We build a novel imaging system for capturing videos of deformed objects under their original untouched appearance (which may have little texture) and, simultaneously, with our markers. We develop an algorithm that first establishes accurate correspondences using video frames with markers, and then transfers them to the untouched views as ground-truth labels. In this way, we are able to generate high-quality labeled data for training learning-based algorithms. We contribute a large real-world dataset, DOT, for tracking deformable objects with little or no texture. Our dataset has about one million video frames of various types of deformable objects. We provide ground truth tracked correspondences in both 2D and 3D. We benchmark state-of-the-art methods on optical flow and deformable object reconstruction using our dataset, which poses great challenges. By training on DOT, their performance significantly improves, not only on our dataset, but also on other unseen data.

Fine genetic mapping and transcriptomic analysis revealed major gene modulating the clear stripe margin pattern of watermelon peel.

The peel stripe margin pattern is one of the most important quality traits of watermelon. In this study, two contrasted watermelon lines [slb line (P1) with a clear peel stripe margin pattern and GWAS-38 line (P2) with a blurred peel stripe margin pattern] were crossed, and biparental F2 mapping populations were developed. Genetic segregation analysis revealed that a single recessive gene is modulating the main-effect genetic locus (Clcsm) of the clear stripe margin pattern of peel. Bulked segregant analysis-based sequencing (BSA-Seq) and fine genetic mapping exposed the delimited Clcsm locus to a 19.686-kb interval on chromosome 6, and the Cla97C06G126680 gene encoding the MYB transcription factor family was identified. The gene mutation analysis showed that two non-synonymous single-nucleotide polymorphism (nsSNP) sites [Chr6:28438793 (A-T) and Chr6:28438845 (A-C)] contribute to the clear peel stripe margin pattern, and quantitative real-time polymerase chain reaction (qRT-PCR) also showed a higher expression trend in the slb line than in the GWAS-38 line. Further, comparative transcriptomic analysis identified major differentially expressed genes (DEGs) in three developmental periods [4, 12, and 20 days after pollination (DAP)] of both parental lines. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses indicated highly enriched DEGs involved in metabolic processes and catalytic activity. A total of 44 transcription factor families and candidate genes belonging to the ARR-B transcription factor family are believed to regulate the clear stripe margin trait of watermelon peel. The gene structure, sequence polymorphism, and expression trends depicted significant differences in the peel stripe margin pattern of both parental lines. The ClMYB36 gene showed a higher expression trend for regulating the clear peel stripe margin of the slb line, and the ClAPRR5 gene depicted a higher expression for modulating the blurred peel stripe margin in the GWAS-38 line. Overall, our fine genetic mapping and transcriptomic analysis revealed candidate genes differentiating the clear and blurred peel stripe patterns of watermelon fruit.

Disruption of Immune Responses By Type I Diabetes Exacerbates SARS-CoV-2 Mediated Lung Injury.

COVID-19 commonly presents as pneumonia, with those most severely affected progressing to respiratory failure. Patient responses to SARS-CoV-2 infection are varied, with comorbidities acting as contributors to varied outcomes. Focusing on one such major comorbidity, we assessed whether pharmacological induction of Type I Diabetes Mellitus (T1DM) would increase the severity of lung injury in a murine model of COVID-19 pneumonia utilizing wild type mice infected with mouse-adapted SARS-CoV-2. Hyperglycemic mice exhibited increased weight loss and reduced blood oxygen saturation in comparison to their euglycemic counterparts, suggesting that these animals indeed experienced more severe lung injury. Transcriptomic analysis revealed a significant impairment of the adaptive immune response in the lungs of diabetic mice compared to those of control. In order to expand the options available for tissue analysis due to biosafety restrictions, we employed a new technique to digest highly fixed tissue into a single cell suspension, originally designed for scRNA-Seq, which we then adapted for flow cytometric analysis. Flow immunophenotyping and scRNA-Seq confirmed impaired recruitment of T cells into the lungs of T1DM animals. Additionally, scRNA-Seq revealed a distinct, highly inflammatory macrophage profile in the diabetic cohort that correlates with the more severe infection these mice experienced clinically, allowing insight into a possible mechanism for this phenomenon. Recognizing the near certainty that respiratory viruses will continue to present significant public health concerns for the foreseeable future, our study provides key insights into how T1DM results in a much more severe infection and identifies possible targets to ameliorate comorbidity-associated severe disease.

Associations between blood nickel and lung function in young Chinese: An observational study combining epidemiology and metabolomics.

Prior research has explored the relationship between occupational exposure to nickel and lung function. Nonetheless, there is limited research examining the correlation between blood nickel levels and lung function among young adults in the general population. The metabolomic changes associated with nickel exposure have not been well elucidated. On August 23, 2019, we enrolled 257 undergraduate participants from the Chinese Undergraduates Cohort to undergo measurements of blood nickel levels and lung function. The follow-up study was conducted in May 2021. A linear mixed-effects model was employed to assess the relationship between blood nickel levels and lung function. We also conducted stratified analyses by home address. In addition, in order to explore the biological mechanism of lung function damage caused by nickel exposure, we performed metabolomic analyses of baseline serum samples (N = 251). Both analysis of variance and mixed linear effect models were utilized to assess the impact of blood nickel exposure on metabolism. Our findings from cross-sectional and cohort analyses revealed a significant association between blood nickel levels and decreased forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC) among young adults in the general population. Furthermore, we found stronger associations in urban areas. In metabolomics analysis, a total of nine metabolites were significantly changed under blood nickel exposure. The changed metabolites were mainly enriched in six pathways including carbohydrate, amino acid, and cofactor vitamin metabolism. These metabolic pathways involve inflammation and oxidative stress, indicating that high concentrations of nickel exposure can cause inflammation and oxidative stress by disrupting the above metabolism of the body.

Immunological roles for resistin and related adipokines in obesity-associated tumors.

Rationale Obesity is an independent risk factor for the occurrence and development of tumors. Obesity is influenced by signaling of adipokines, which are secreted factors from adipocytes and resident immune cells within adipose tissues that mediate lipid metabolism. More recently, adipokines have been implicated in chronic inflammation as well as in tumor formation and growth. Among them, resistin has received increasing attention in research related to the growth and expansion of solid tumors and hematological cancers through various signaling pathways. Objective and findings We reviewed the physiological, biochemical, and immune functions of adipose tissue, with a focus on the structure and expression of resistin and adipokines within multiple adipose cell types, their signaling pathways and putative effects on tumor cells, as well as their in vivo regulation. Current evidence indicates that adipokines such as resistin act as pro-inflammatory factors to stimulate immune cells which, in turn, promotes tumor angiogenesis, connective tissue proliferation, and matrix fibrosis. Concurrently, in states of metabolic dysfunction and lipotoxicity in obese individuals, the numbers and functions of immune cells are compromised, leading to an immunosuppressive environment that fosters tumor cell survival and weak cancer immune monitoring. Conclusion Adipokines such as resistin are important to the development of obesity-related tumors. Clarifying the roles for obesity-related factors in immune regulation and tumor progression may lead to the discovery of novel anti-tumor strategies for targeting obesity factors such as resistin to limit tumor growth and manage obesity, or both.

Taz/Tead1 Promotes Alternative Macrophage Activation and Kidney Fibrosis via Transcriptional Upregulation of Smad3.

Macrophage alternative activation is involved in kidney fibrosis. Previous researches have documented that the transcriptional regulators Yes-associated protein (Yap)/transcriptional coactivator with PDZ-binding motif (Taz) are linked to organ fibrosis. However, limited knowledge exists regarding the function and mechanisms of their downstream molecules in regulating macrophage activation and kidney fibrosis. In this paper, we observed that the Hippo pathway was suppressed in macrophages derived from fibrotic kidneys in mice. Knockout of Taz or Tead1 in macrophages inhibited the alternative activation of macrophages and reduced kidney fibrosis. Additionally, by using bone marrow-derived macrophages (BMDMs), we investigated that knockout of Taz or Tead1 in macrophages impeded both cell proliferation and migration. Moreover, deletion of Tead1 reduces p-Smad3 and Smad3 abundance in macrophages. And chromatin immunoprecipitation (ChIP) assays showed that Tead1 could directly bind to the promoter region of Smad3. Collectively, these results indicate that Tead1 knockout in macrophages could reduce TGFß1-induced phosphorylation Smad3 via transcriptional downregulation of Smad3, thus suppressing macrophage alternative activation and IRI-induced kidney fibrosis.

The MEF2A/SNHG16/miR-425-5p/NOTCH2 axis induces gemcitabine resistance by inhibiting ferroptosis in the starving bladder tumor microenvironment.

Gemcitabine resistance is one of the leading causes of bladder cancer (BCa) recurrence and progression. The dysregulation of ferroptosis is involved in this process; however, the underlying mechanisms remain unclear. In the current study, we found a prominent increase in long non-coding RNA (lncRNA) small nucleolar RNA host gene 16 (SNHG16) in tumor samples, which was related to advanced tumor grade and poor prognosis. SNHG16 is overexpressed in the starving tumor microenvironment (STME) and induces gemcitabine resistance by inhibiting ferroptosis in BCa. SNHG16 knockdown promotes ferroptosis and increases chemosensitivity to gemcitabine. Mechanistically, the transcription factor MEF2A was markedly upregulated in the STME, facilitating SNHG16 expression. SNHG16 acts as a competing endogenous RNA that sponges miR-425-5p and promotes NOTCH2 expression. SNHG16/miR-425-5p/NOTCH2 is demonstrated, for the first time, to suppress ferroptosis by inducing SLC7A11 and GPX4 expression in vitro and in vivo. Upregulation of miR-425-5p reverses NOTCH2-mediated inhibition of ferroptosis, thereby mitigating gemcitabine resistance. In conclusion, these findings reveal that the STME-activated MEF2A/SNHG16/miR-425-5p/NOTCH2 axis induces gemcitabine resistance by inhibiting ferroptosis and implicate SNHG16 as a potential therapeutic target for chemoresistance.

Roles of Akirin1 in early prediction and treatment of graft kidney ischemia‒reperfusion injury.

Ferroptosis is a predominant contributor to graft kidney ischemia‒reperfusion injury (IRI), resulting in delayed graft function (DGF). However, much less is known about the early predicting biomarkers and therapeutic targets of DGF, especially aiming at ferroptosis. Here, we propose a precise predicting model for DGF, relying on the Akirin1 level in extracellular vesicles (EVs) derived from recipient urine 48 h after kidney transplant. In addition, we decipher a new molecular mechanism whereby Akirin1 induces ferroptosis by strengthening TP53-mediated suppression of SLC7A11 during the graft kidney IRI process, that is, Akirin1 activates the EGR1/TP53 axis and inhibits MDM2-mediated TP53 ubiquitination, accordingly upregulating TP53 in two ways. Meanwhile, we present the first evidence that miR-136-5p enriched in EVs secreted by human umbilical cord mesenchymal stem cells (UM-EVs) confers robust protection against ferroptosis and graft kidney IRI by targeted inhibition of Akirin1 but knockout of miR-136-5p in UM sharply mitigates the protection of UM-EVs. The functional and mechanistic regulation of Akirin1 is further corroborated in an allograft kidney transplant model in wild-type and Akirin1-knockout mice. In summary, these findings suggest that Akirin1, which prominently induces ferroptosis, is a pivotal biomarker and target for early diagnosis and treatment of graft kidney IRI and DGF after kidney transplant.

Unraveling the Capacitive Behaviors in Nanoconfined Ionophilic Carbon Pores.

Intensifying the synergy between confined carbon nanopores and ionic liquids (ILs) and a deep comprehension of the ion behavior is required for enhancing the capacitive storage performance. Despite many theoretical insights on the storage mechanism, experimental verification has remained lacking due to the intricate nature of pore texture. Here, a compressed micropore-rich carbon framework (CMCF) with tailored monolayer and bilayer confinement pores is synthesized, which exhibits a compatible ionophilic interface to accommodate the IL [EMIM][BF4]. By deploying in situ Raman spectroscopy, in situ Fourier-transform infrared spectroscopy, and solid-state nuclear magnetic resonance, the effect of the pore textures on ions storage behaviors is elucidated. A voltage-induced ion gradient filling process in these ionophilic pores is proposed, in which ion exchange and co-ion desorption dominate the charge storage process. Moreover, it is established that the monolayer confinement of ions enhances the capacity, and bilayer confinement facilitates the charging dynamics. This work may guide the design of nanoconfinement carbon for high-energy-density supercapacitors and deepen the understanding of the charge storage mechanism in ionophilic pores.

Eu3+-functionalized covalent organic framework for ratiometric fluorescence detection and adsorption of tetracycline and information steganography.

Functional materials with organic/inorganic composites as the main matrix and rare earth ion complexes as the guest have shown a very broad application prospect for antibiotic sensors. However, Eu3+-complex often relies on a single fluorescence response signal, which is susceptible to changes in the detection environment and cannot simultaneously detect and remove tetracycline (TC). Herein, green fluorescent covalent two-dimensional organic framework (COF-TD) is synthesized, followed by modification of Eu3+ to synthesize COF-TD@Eu3+. In the ratiometric sensor, Eu3+ serves as the recognition site and specific response probe for TC, while COF-TD is the fluorescence reference and carrier for Eu3+. Due to the antenna effect, TC enhances the red fluorescence of Eu3+, while the green fluorescence of COF-TD remains almost stable. Based on the change of fluorescence intensity and fluorescence color from green to red, the efficient ratiometric sensing can be finished in 1 min. The developed method shows high sensitivity with a detection limit of 0.3 µM and high selectivity to TC which makes the method applicable to detect TC in traditional Chinese medicine preparations. In addition, due to the high specific surface area of COFs and specific adsorption sites, COF-TD@Eu3+ also shows good performance for TC removal. The findings show that the maximum adsorption capacity is 137.3 mg g-1 and the adsorption equilibrium is reached in 30 min. Smartphone assisted COF-TD@Eu3+ for both ratiometric fluorescence detection and detecting the absorption of TC is proposed for the first time. The molecular cryptosteganography that transforms the selective response of COF-TD@Eu3+ to binary strings is anticipated to advance utilization of nanomaterials in logic sensing and information safety.

Top coal drawing law for an extra thick coal seam under the single round group drawing method.

To solve the problems of poor top coal drawing, lagging collapse, and difficulty in parallel operation of mining and drawing in extra-thick coal seams, considering the 8222 working face of the Tashan Mine as the engineering background, we first investigate the basic problems of fully mechanized top coal drawing mining in extra-thick coal seams using the single-round group drawing method (GDM). We then analyze the drawing law of top coal with different thicknesses under the single-round GDM from the aspects of top coal recovery (TCR) and drawing efficiency, coal loss mechanism, and the relation between TCR and gangue content (GC), providing a basis for determining the process parameters of GDM. Results indicate that as the top coal thickness increases, the number of drawing openings considerably influences drawing efficiency and top coal loss. And there is a notable thickness effect of the number of drawing openings on the top coal loss. There is a quantitative relationship among TCR, cumulative GC (CGC) and instantaneous GC (IGC), and CGC and TCR can be predicted based on the IGC. Consequently, theoretical analysis and numerical simulation results indicate that the optimal IGC threshold at the coal drawing openings between 31.2 and 40%. Through optimizing the coal drawing method and strictly controlling the IGC at the coal drawing openings on-site, the measured working face TCR increased from 75.25 to 90.12%, and CGC was controlled at approximately 9%. Meanwhile, the average coordination efficiency of mining and drawing time reaches 68.2%, effectively ensuring the construction of a coal mine with an annual output of 15 million tons.

Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition.

Convolutional neural networks (CNNs) have made significant progress in the field of facial expression recognition (FER). However, due to challenges such as occlusion, lighting variations, and changes in head pose, facial expression recognition in real-world environments remains highly challenging. At the same time, methods solely based on CNN heavily rely on local spatial features, lack global information, and struggle to balance the relationship between computational complexity and recognition accuracy. Consequently, the CNN-based models still fall short in their ability to address FER adequately. To address these issues, we propose a lightweight facial expression recognition method based on a hybrid vision transformer. This method captures multi-scale facial features through an improved attention module, achieving richer feature integration, enhancing the network's perception of key facial expression regions, and improving feature extraction capabilities. Additionally, to further enhance the model's performance, we have designed the patch dropping (PD) module. This module aims to emulate the attention allocation mechanism of the human visual system for local features, guiding the network to focus on the most discriminative features, reducing the influence of irrelevant features, and intuitively lowering computational costs. Extensive experiments demonstrate that our approach significantly outperforms other methods, achieving an accuracy of 86.51% on RAF-DB and nearly 70% on FER2013, with a model size of only 3.64 MB. These results demonstrate that our method provides a new perspective for the field of facial expression recognition.

Current state and influencing factors in airbag management among emergency department nurses: A multicenter study.

BACKGROUND: The emergency department (ED) plays a critical role in establishing artificial airways and implementing mechanical ventilation. Managing airbags in the ED presents a prime opportunity to mitigate the risk of ventilator-associated pneumonia. Nonetheless, existing research has largely overlooked the understanding, beliefs, and practical dimensions of airway airbag management among ED nurses, with a predominant focus on intensive care unit nurses. AIM: To investigate the current status of ED nurses' knowledge, beliefs, and practical behaviors in airway airbag management and their influencing factors. METHODS: A survey was conducted from July 10th to August 10th, 2023, using convenience sampling on 520 ED nurses from 15 tertiary hospitals and 5 sary hospitals in Shanghai. Pathway analysis was utilized to analyze the influencing factors. RESULTS: The scores for ED nurses' airway airbag management knowledge were 60.26 ± 23.00, belief was 88.65 ± 13.36, and behavior was 75.10 ± 19.84. The main influencing factors of airbag management knowledge included participation in specialized nurse or mechanical ventilation training, department, and work experience in the department. Influencing factors of airbag management belief comprised knowledge, department, and participation in specialized nurse or mechanical ventilation training. Primary influencing factors of airbag management behavior included knowledge, belief, department, participation in specialized nurse or mechanical ventilation training, and professional title. The belief in airbag management among ED nurses acted as a partial mediator between knowledge and behavior, with a total effect value of 0.513, and an indirect effect of 0.085, constituting 16.6% of the total effect. CONCLUSION: ED nurses exhibit a positive attitude toward airbag management with relatively standardized practices, yet there remains room for improvement in their knowledge levels. Nursing managers should implement interventions tailored to the characteristics of ED nurses' airbag management knowledge, beliefs, and practices to enhance their airbag management proficiency.

Concurrent manipulation of competitive mechanisms to construct glutathione-stabilized gold nanocluster-based dual-channel molecular classifier for metal ions detection and information steganography.

Understanding charge transport in metal ion-mediated glutathione-stabilized gold nanoclusters (GSH-Au NCs) has proved difficult due to the presence of various competitive mechanisms, such as electron transfer (ET) and aggregation induction effect (AIE). In this paper, we present a dual-channel fluorescence (FL) and second-order Rayleigh scattering (SRS) sensing method for high-throughput classification of metal ions, relying on the competition between ET and AIE using GSH-Au NCs. The SRS signals show significant enhancement when Pb2+, Ag+, Al3+, Cu2+, Fe3+, and Hg2+ are present, as a result of the aggregation of GSH-Au NCs. Notably, the fluorescence signal exhibits the opposite trend. The FL intensities of GSH-Au NCs are enhanced by Pb2+, Ag+, and Al3+ through the AIE mechanism, while they are quenched by Cu2+, Fe3+, and Hg2+, which is dominated by the ET mechanism. By employing principal component analysis and hierarchical cluster analysis, these signals are transformed into unique fingerprints and Euclidean distances, respectively, enabling successful distinction of six metal ions and their mixtures with a low detection limit of 30 nM. This new strategy has successfully addressed interference from impurities in the testing of real water samples, demonstrating its strong ability to detect multiple metal ions. Impressively, we have achieved molecular cryptosteganography, which involves encoding, storing, and concealing information by transforming the selective response of GSH-Au NCs to binary strings. This research is anticipated to advance utilization of nanomaterials in logic sensing and information safety, bridging the gap between molecular sensors and information systems.

Morvan's syndrome with hypercoagulable condition in a patient positive for anti-CASPR2 antibodies: A case report.

RATIONALE: The phenomenon of hypercoagulability has not been previously documented in individuals with Morvan's syndrome, especially in those associated with contactin-associated protein-like receptor 2 (CASPR2). PATIENT CONCERNS: A previously healthy 32-year-old Chinese male was admitted to the hospital with central and peripheral neurologic symptoms. The patient was tested positive for anti-CASPR2 antibodies, and also presented with an activated coagulation state on admission, characterized by a low activated partial thromboplastin time and a high platelet count. With gradual improvement of clinical symptoms, activated partial thromboplastin time, and platelet count returned to normal. Simultaneously, anti-CASPR2 antibody titers significantly decreased and eventually became undetectable. DIAGNOSES: The patient was diagnosed as Morvan's syndrome with positive anti-CASPAR2 antibodies accompanied with hypercoagulable state. INTERVENTIONS: Plasmapheresis was administered to improve the symptoms combined with prednisolone acetate therapy. OUTCOMES: The patient experienced complete resolution of all symptoms during hospitalization and generally recovery after 2 months of discharge. LESSONS: Emphasis should be directed towards hypercoagulability in individuals diagnosed with Morvan's syndrome, particularly those presenting with positive anti-CASPR2 antibodies. Anticoagulant therapy may represent a novel therapeutic approach for individuals afflicted with Morvan's syndrome and exhibiting positivity for anti-CASPR2 antibodies.

Dynamic interfacial electrostatic energy harvesting via a single wire.

Spontaneously occurred electrostatic breakdown releases enormous energy, but harnessing the energy remains a notable challenge due to its irregularity and instantaneity. Here, we propose a revolutionary method that effectively harvests the energy of dynamic interfacial electrostatic breakdown by simply imbedding a conductive wire (diameter, 25 micrometers) beneath dielectric materials to regulate the originally chaotic and distributed electrostatic energy resulted from contact electrification into aggregation, effectively transforming mechanical energy into electricity. A point-charge physical model is proposed to explain the power generation process and output characteristics, guide structural design, and enhance output performance. Furthermore, a quantified triboelectric series including 72 dielectric material pairs is established for materials choice and optimization. In addition, a high voltage of over 10 kilovolts is achieved using polytetrafluoroethylene and polyethylene terephthalate. This work opens a door for effectively using electrostatic energy, offering promising applications ranging from novel high-voltage power sources, smart clothing, and internet of things.

Isomerization reactions of metal vinylidene units.

Isomerization reactions of unsaturated molecules offer an efficient strategy in atom-economical synthesis. Although isomerization reactions of unsaturated organic and organometallic compounds, such as alkenes, alkynes, and metal carbynes, have been achieved, those of metal vinylidene units that contain cumulated double bonds have never been reported. Herein, we inaugurally discovered isomerization reactions of metal vinylidene units via protonation and deprotonation reactions of metal carbenes. Experimental and theoretical investigations indicate that the electrical characteristics of substituents on the rings play a crucial role in controlling the formation of metal vinylidene units. The isomerization reactions of metal vinylidene units were driven by thermodynamic forces. Moreover, one of the angles at metal vinylidenes was found as 126.9°, representing the smallest angle in metal vinylidenes and the first cyclic 4d transition metal (Ru) vinylidene complex was successfully isolated. These investigations unveil novel structures and reactivity for metal vinylidenes, offering a fresh perspective on the isomerization reactions of unsaturated molecules containing cumulative unsaturated bonds.

Intervention Research of Narrative Nursing on the Psychological Problems of the Caregivers Under the Normalization of the Epidemic.

Objective: The research aims to investigate the impact of narrative nursing on the psychological well-being of nursing personnel in the context of the normalization of epidemic. Methods: A cohort of 170 frontline nursing staff at our institution was selected for this clinical study from January 1st to October 31st of 2023. The Symptom Checklist-90 (SCL-90) was employed to evaluate the psychological health of these frontline nursing personnel, compared to the standard norms for nurses in mainland China. Employing a randomized selection method, the cohort was divided into two groups: a control group (85 cases) receiving conventional nursing care and a research group (85 cases) receiving narrative nursing care. The duration of nursing intervention in both groups was set at 12 weeks. Various aspects of psychological well-being, work-related stress, psychological resilience, post-traumatic stress disorder, occupational burnout, job satisfaction, and coping strategies were assessed both before and after the nursing intervention. Results: Among the positive projects of 170 frontline nursing personnel, 32 exhibited positive symptoms, resulting in a positive rate of 18.82%. With the exception of the paranoia dimension score, the scores for other dimensions in the SCL-90 scale within the clinical group were notably higher than those observed in the norm group (P < .05). Among the ten items with the highest frequency of positive symptoms, anxiety, obsessive-compulsive symptoms, and hostility were identified as the most prevalent psychological health issues among frontline nursing personnel. Post-nursing intervention, the research group exhibited lower scores in dimensions other than paranoia in the SCL-90 scale compared to the control group (P < .05). The research group also displayed lower scores in SAS, SDS, SRQ, PCL-C, MBI-HSS and higher scores in CD-RISC and JWS post-intervention (P < .05). In the post-nursing intervention phase, the research group demonstrated lower scores in negative coping and higher scores in positive coping as per the SCSQ scale in comparison to the control group (P < .05). Conclusions: Amidst the ongoing normalization of the epidemic, the psychological well-being of frontline nursing staff was lower than the established norms for nurses in mainland China. Notably, somatization, anxiety, and depression emerged as predominant manifestations. Narrative nursing was identified as an effective intervention to enhance nursing personnel's psychological well-being and coping strategies, ultimately regulating negative emotions, reducing post-traumatic stress disorder and occupational burnout, reducing stress levels, and enhancing job satisfaction and psychological resilience.