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Summary: CCCTC-binding factor (CTCF), a ubiquitously expressed architectural protein, has emerged as a key regulator of cell identity gene transcription. However, the precise molecular mechanism underlying specialized functions of CTCF remains elusive. Here, we investigate the mechanism through integrative analyses of primary hepatocytes, myocytes, and B cells from mouse and human. We demonstrate that CTCF cooperates with lineage-specific pioneer transcription factors (TFs), including MyoD, FOXA, and PU.1, to control cell identity at 1D and 3D levels. At the 1D level, pioneer TFs facilitate lineage-specific CTCF occupancy via opening chromatin. At the 3D level, CTCF and pioneer TFs form regulatory hubs to govern the expression of cell identity genes. This mechanism is validated using MyoD-null mice, CTCF knockout mice, and CRISPR editing during myogenic differentiation. Collectively, these findings uncover a general mechanism whereby CTCF acts as a cell identity cofactor to control cell identity genes via orchestrating regulatory hubs with pioneer TFs.

Background and objectives: Stellate ganglion block (SGB) has significant therapeutic efficacy in various clinical practices and further exploration of SGB is needed. The mouse model of SGB had not been reported and the effect on cerebral cortical blood flow (CCBF) was controversial. We aimed to establish an stellate ganglion block (SGB) mouse model and explore how SGB influences CCBF. Methods: Male C57BL/6 mice were randomly divided into five groups (n = 6): groups L (left SGB) and R (right SGB) received an injection of 0.25% ropivacaine hydrochloride (0.08 mL) on the respective stellate ganglion; similarly, groups SL (left saline control) and SR (right saline control) received an injection of normal saline (0.08 mL) instead. Group C received no intervention. CCBF was assessed before SGB (T0) and 10 (T1), 30 (T2), 60 (T3), 90 (T4), and 120 min (T5) after SGB using laser speckle contrast imaging system. Results: The SGB mouse model was successfully established in groups L and R. Compared with baseline, CCBF on the blocked side decreased at T1, increased at T2–T5, and peaked at T3 in groups L and R (all, P < 0.01). Compared with groups C and SL, the CCBF on the left side decreased at T1 and increased at T2–T5 in group L (all, P < 0.05). A similar trend was noted in groups C and SR relative to group R. The CCBF on the unblocked side decreased at T1, increased at T2–T5, and peaked at T3 in groups L and R (all, P < 0.01). Conclusions: The SGB mouse model was established successfully. Unilateral SGB can affect bilateral cerebral cortical blood flow, which shows a transitory decrease followed by a significant increase for at least 2 h.

Background: A growing interest in long-term sequelae of COVID-19 has prompted several systematic literature reviews (SLRs) to evaluate long-COVID-19 effects. However, many of these reviews lack in-depth information on the timing, duration, and severity of these conditions. Objectives: Our aim was to synthesize both qualitative and quantitative evidence on prevalence and outcomes of long-term effect of COVID-19 through an umbrella review. Design: Umbrella review of relevant SLRs on long-COVID-19 in terms of prolonged symptoms and clinical conditions, and comprehensively synthesized the latest existing evidence. Data Sources and Methods: We systematically identified and appraised prior systematic reviews/meta-analyses using MEDLINE, Embase, and Cochrane database of systematic review from 2020 to 2021 following the preferred reporting items for systematic reviews and meta-analyses guidance. We summarized and categorized all relevant clinical symptoms and outcomes in adults with COVID-19 using the Medical Dictionary for Regulatory Activities System Organ Class (MedDRA SOC). Results: We identified 967 systematic reviews/meta-analyses; 36 were retained for final data extraction. The most prevalent SOC were social circumstances (40%), blood and lymphatic system disorders (39%), and metabolism and nutrition disorder (38%). The most frequently reported SOC outcomes within each MedDRA category were poor quality of life (59%), wheezing and dyspnea (19−49%), fatigue (30−64%), chest pain (16%), decreased or loss of appetite (14–17%), abdominal discomfort or digestive disorder (12−18%), arthralgia with or without myalgia (16–24%), paresthesia (27%) and hair loss (14–25%), and hearing loss or tinnitus (15%). Conclusion: This study confirmed a high prevalence of several long COVID-19 outcomes according to the MedDRA categories and indicated that the majority of evidence was rated as moderate to low. Registration: The review was registered at PROSPERO ( https://www.crd.york.ac.uk/prospero/ ) (CRD42022303557).

In order to study the changes of the structure and chemical durability with Fe/P mole ratio(r(Fe/P)), a series of P2O5-Fe2O3-Al2O3-Na2O-ZrO2 glass-ceramic samples with different Fe/P mole ratios were prepared by the melting-quenching method. X-ray diffraction was used for phase analysis, and Raman spectroscopy, X-ray photoelectron spectroscopy and M-ssbauer spectroscopy were used for structural analysis. n(Fe3+)/(n(Fe2+)+n(Fe3+)) mole ratios increase with the increase of Fe/P mole ratio when the Fe/P mole ratio is less than 0.18. When the Fe/P mole ratio is between 0.18 and 0.32, n(Fe3+)/(n(Fe2+)+n(Fe3+)) fluctuates around 60%. The samples with Fe/P mole ratio between 0.2 and 0.3 have the best chemical durability and relatively low crystal fraction.

Two new leafhopper species of Pediopsis Burmeister, Pediopsis albopicta Li & Dai, sp. nov. from Hunan and Guizhou provinces of central China and Pediopsis pianmaensis Li & Dai, sp. nov. from Yunnan Province of southwestern China, are described and illustrated. Ambiguity in the original description of P. bannaensis Yang & Zhang is discussed, and figures of the female holotype of P. femorata Hamilton are provided for the first time. A checklist and key to Chinese species of Pediopsis are also given.

Abstract Background Patients with type 2 diabetes mellitus (T2DM) have been reported to be more susceptible to 2019 novel coronavirus (2019-nCoV) and more likely to develop severe pneumonia. However, the safety and immunological responses of T2DM patients after receiving the inactivated vaccines are not quite definite. Therefore, we aimed to explore the safety, antibody responses, and B-cell immunity of T2DM patients who were vaccinated with inactivated coronavirus disease 2019 (COVID-19) vaccines. Methods Eighty-nine patients with T2DM and 100 healthy controls (HCs) were enrolled, all of whom had received two doses of full-course inactivated vaccines. At 21–105 days after full-course vaccines: first, the safety of the vaccines was assessed by questionnaires; second, the titers of anti-receptor binding domain IgG (anti-RBD-IgG) and neutralizing antibodies (NAbs) were measured; third, we detected the frequency of RBD-specific memory B cells (RBD-specific MBCs) to explore the cellular immunity of T2DM patients. Results The overall incidence of adverse events was similar between T2DM patients and HCs, and no serious adverse events were recorded in either group. Compared with HCs, significantly lower titers of anti-RBD-IgG (p = 0.004) and NAbs (p = 0.013) were observed in T2DM patients. Moreover, the frequency of RBD-specific MBCs was lower in T2DM patients than in HCs (p = 0.027). Among the 89 T2DM patients, individuals with lower body mass index (BMI) had higher antibody titers (anti-RBD-IgG: p = 0.009; NAbs: p = 0.084). Furthermore, we found that sex, BMI, and days after vaccination were correlated with antibody titers. Conclusions Inactivated COVID-19 vaccines were safe in patients with T2DM, but the antibody responses and memory B-cell responses were significantly decreased compared to HCs. Trial registration number and date NCT05043246. September 14, 2021. (Clinical Trials.gov)

Abstract Multiferroic materials, showing simultaneous ferroelectric and ferromagnetic orders, are considered to be promising candidates for future data storage technology however, the multiferroic phenomenon in two-dimensional (2D) materials is rarely observed. We report a simple approach to observe frequency-dependent ferroelectricity and multiferroicity in 2D Ti3C2T x MXene film at room-temperature. To study the frequency and poling effect on ferroelectricity, we performed electric polarization vs. electric field (P-E) measurement at different frequencies, measured under zero and non-zero static magnetic fields. The results not only indicate a clear frequency dependence of electric domains owing to varying time relaxation during reversal dynamic but also showed magnetic field control of electric polarization thus, confirmed the presence of strong magneto-electric (ME) coupling at room-temperature. The existence of ME coupling was attributed to the coupling between disordered electric dipoles with local spin moments as well reduced dielectric loss after heat-treatment. Moreover, the ferroelectric Ti3C2T x MXene film was employed as an active layer within the resistive data storage device that showed a stable switching behavior along with improved on/off ratio in comparison to non-ferroelectric Ti3C2T x active layer. The unique multiferroic behavior along with ferroelectric-tuned data storage devices reported here, will help understand the intrinsic nature of 2D materials and will advance the 2D ferroelectric data storage industry.

Spatial performance measures the space usage of each underground segment in metro-led urban underground public space (UUPS). It usually varies in different UUPS segments and at different periods. Many environmental factors and space attractors can influence spatial performance in UUPS including spatial configurations, transportation facilities, space design characteristics, and commercial and working facilities. This study intends to figure out the temporal and spatial distribution patterns of spatial performance in UUPS and then reveal the main influential factors and their impact mechanisms. The UUPS in Jiangwan–Wujiaochang Sub-center was selected as the study case. Cordon counting methods and multiple regression models were employed to collect the pedestrian data and quantitatively analyze the correlations between pedestrian flows and candidate influential factors. The study verified that spatial configurations were the most important factors instead of underground or surface attractors. There existed an interactive effect among pedestrian movements, spatial configurations, and commerce distribution in metro-led UUPS. Walkway width and the distribution of metro stations could partly affect spatial performance. The influential mechanisms of metro stations were different on weekdays and at weekends. Underground segments belonging to shopping malls in UUPS had a negative impact on spatial performance only on weekdays. Results of this study can provide insights for more efficient layout planning and design of metro-led UUPS in Chinese metropolitan cities.

As an important metering apparatus at the trade settlement gate in intelligent substations, the operating error of electronic current transformers can have an important impact on the electric energy trade settlement, so it is necessary to predict the error state of electronic current transformers. In this paper, a Long Short-Term Memory (LSTM) neural network is used to construct an error prediction model for electronic current transformers, characterizing their errors in the form of multiple input variables and single output variables. In order to reduce the training scale of the LSTM neural network, the partitioning around medoid (PAM) clustering algorithm is used to cluster and analyze the input variables. The analysis results of the algorithm show that the prediction results of the ratio and phase errors meet the requirements of online monitoring and provide information on the change of the error state of electronic current transformers to prevent the risk of electricity trade settlement.

With the requirements of self-powering sensors in flexible electronics, wearable triboelectric nanogenerators (TENGs) have attracted great attention due to their advantages of excellent electrical outputs and low-cost processing routes. The crosstalk effect between adjacent sensing units in TENGs significantly limits the pixel density of sensor arrays. Here, we present a skin-integrated, flexible TENG sensor array with 100 sensing units in an overall size of 7.5 cm × 7.5 cm that can be processed in a simple, low-cost, and scalable way enabled by 3D printing. All the sensing units show good sensitivity of 0.11 V/kPa with a wide range of pressure detection from 10 to 65 kPa, which allows to accurately distinguish various tactile formats from gentle touching (as low as 2 kPa) to hard pressuring. The 3D printing patterned substrate allows to cast triboelectric layers of polydimethylsiloxane in an independent sensing manner for each unit, which greatly suppresses the cross talk arising from adjacent sensing units, where the maximum crosstalk output is only 10.8%. The excellent uniformity and reproducibility of the sensor array offer precise pressure mapping for complicated pattern loadings, which demonstrates its potential in tactile sensing and human-machine interfaces.

As an important resource of the airport,the optimization of parking space allocation strategy to achieve better flight operation efficiency and improve the passenger′satisfaction has become the top priority of research.In order to study the problem of parking space allocation under resource-constrained conditions such as tractors and controllers,aiming at the minimum aircraft delay time and the maximum number of bridges,and transforming the maximum number of bridges into the minimum number of non-bridges,an optimization model of parking space allocation is established,and the heuristic algorithm is used to solve it.The example of parking space allocation model is verified through entrying and departure information of Beijing Daxing International Airport.The results show that,compared with the actual operation of the airport,the parking space allocation optimization model established in this paper can reduce the aircraft delay time by 25.5%and increased bridge rate by 8.8%.The optimization of surface delay and bridge approach rate under the condition of limited resources is realized.

Abstract Cardiovascular diseases (CVDs) are fatal chronic diseases, where electrocardiography (ECG) monitoring could be a prominent solution for early diagnosis. In spite of available commercialized, multilead ECG devices, bulky formats, discontinuous monitoring, and no safety alarm system significantly limit their practical applications. Herein, we present a soft, and stretchable, three‐lead ECG device allowing continuous monitoring and wireless transmission of ECG signals. A newly developed organohydrogel patch with a strong adhesive ability (~9.9 kPa) and higher conductivity (~6.5 kΩ) is applied for high‐quality ECG signals collection. With a long operation duration (6.5 h) and wireless transmission distance (20.9 m), it could fulfill most of the daily applications. Machine learning algorithms and the graphical user interface are used for real‐time ECG monitoring and cardiac abnormalities diagnosis. The vibratory flexible actuator, which is triggered by cardiac abnormalities that need immediate medical treatment, is also integrated as a warning system for the user. As a newly reported stretchable multi‐lead ECG device for long‐term ECG signal monitoring, there is a high potential for improving users' life quality with the high‐risk population of CVDs.

Abstract Background Fall is a major cause of mortality and cause a significant burden on the healthcare system and economic system. Weak grip strength signifies impaired function. Older people with weak grip strength are at a higher risk of death. China has the largest ageing population in the world today. This study aims to analyze the factors contributing to weak grip strength and fall among Chinese. Methods This study analyzed data from the 2011 baseline and 2015 follow-up survey of the China Health and Retirement Longitudinal Study (CHARLS). To identify the risk factors of fall and weak grip strength, we used a stepwise multivariable logistic regression model and a least absolute shrinkage and selection operator (LASSO) regression model. Results In the LASSO regression model, all the risk factors were not shrunken. In the stepwise logistic regression model, adjusted for gender, age, grip strength, depression, and chronic disease, we found that female (aOR = 1.376, 95% CI = 1.243–1.523; P

Abstract Environmental problems such as greenhouse effect, the consumption of fossil energy, and the increase of human demand for energy are becoming more and more serious, which force researcher to turn their attention to the reduction of CO2 and the development of renewable energy. Unsafety, easy to lead to secondary environmental pollution, cost inefficiency, and other problems limit the development of conventional CO2 capture technology. In recent years, many microorganisms have attracted much attention to capture CO2 and synthesize valuable products directly. Fatty acid derivatives (e.g., fatty acid esters, fatty alcohols, and aliphatic hydrocarbons), which can be used as a kind of environmentally friendly and renewable biofuels, are sustainable substitutes for fossil energy. In this review, conventional CO2 capture techniques pathways, microbial CO2 concentration mechanisms and fixation pathways were introduced. Then, the metabolic pathway and progress of direct production of fatty acid derivatives from CO2 in microbial cell factories were discussed. The synthetic biology means used to design engineering microorganisms and optimize their metabolic pathways were depicted, with final discussion on the potential of optoelectronic–microbial integrated capture and production systems.

Abstract Mineral carbonation of mafic–ultramafic rocks has been highlighted as a promising way for permanent carbon capture and storage. Carbonatization involves the release of Ca, Mg and Fe from silicate minerals by dissolution and reaction in the aqueous phase to form stable carbonate minerals. Diopside is one of the most abundant mafic minerals in the lithosphere and contributes a portion of Mg and Ca to surface weathering. Here, we present detailed processes of the carbonation-coupled serpentinization of diopsidite from the Yushishan Nb–Ta deposit in the Altun Mountain, northwest China. Diopsidite is the prograde metamorphic product of siliceous dolomitic marble by full decarbonation process. Retrograde serpentinization and carbonation of diopsidite lead to the addition of CO2, H2O, light rare earth elements and fluid-mobile elements but the loss of SiO2. The diopsides are replaced by calcite and chrysotile by mineral alteration to form pseudomorphic textures. Dissolution–precipitation processes significantly affect diopside serpentinization and carbonation. The carbonation of diopside-rich rocks may be suitable for permanent CO2 storage.

Context The swim bladder of the croceine croaker is believed to have a therapeutic effect on various diseases. However, there is no research about its effect on mammalian spermatogenesis. Objective We investigated the swim bladder peptides (SBPs) effect on busulfan-induced oligoasthenospermia in mice. Materials and methods We first extracted SBP from protein hydrolysate of the croceine croaker swim bladder, and then five groups of ICR male mice were randomly assigned: control, control + SBP 60 mg/kg, busulfan, busulfan + SBP 30 mg/kg and busulfan + SBP 60 mg/kg. Mice received bilateral intratesticular injections of busulfan to establish oligoasthenospermia model. After treatment with SBP for 4 weeks, testis and epididymis were collected from all mice for further analysis. Results After treatment with SBP 30–60 mg/kg for 4 weeks, epididymal sperm concentration and motility increased by 3.9–9.6- and 1.9–2.4-fold than those of oligoasthenospermia mice induced by busulfan. Meanwhile, histology showed that spermatogenic cells decreased, leading to increased lumen diameters and vacuolization in the busulfan group. These features were reversed by SBP treatment. RNA-sequencing analysis revealed that, compared with the busulfan group, Lin28b and Igf2bp1 expression related to germ cell proliferation, increased with a >1.5-fold change after SBP treatment. Additionally, PGK2 and Cfap69 mRNAs associated with sperm motility, also increased with a >1.5-fold change. Furthermore, these findings were validated by quantitative real-time PCR and Western blotting. Discussion and conclusions This is the first reported evidence for the therapeutic effect of SBP on oligoasthenospermia. SBP may be a promising drug for oligoasthenospermia in humans.

Soil viral communities remain understudied. Here, Liao et al. retrieve a catalogue of around sixty thousand vOTUs through a systematic viromic pipeline, and uncover the response of soil viral communities to anthropogenic land use changes.

Abstract Background Depression or depressive symptoms are common among pregnant women. The use of antidepressants during pregnancy has grown steadily. The risk of offspring being born small for gestational age or prematurely when exposed to duloxetine during pregnancy is not established. Objective We aimed to investigate the association between duloxetine exposure during pregnancy and offspring being born small for gestational age or prematurely. Methods We conducted an observational study including live births in Sweden and Denmark (2004–2016). Duloxetine exposure during early (0–140 days) or late (141 to delivery) pregnancy compared with duloxetine-non-exposed, selective serotonin reuptake inhibitor-exposed, venlafaxine-exposed, and duloxetine discontinuers. Results In total, 2,083,467 pregnancies were identified, where 1589 and 450 were duloxetine exposed in early and late pregnancy, respectively. For small for gestational age, no increased risk was seen for duloxetine across comparators. In the early and late exposure windows, propensity score-matched odds ratios for small for gestational age ranged between 0.64 (95% confidence interval 0.44–0.95) and 1.48 (95% confidence interval 0.85–2.57). For preterm birth, the findings differed across comparators and exposure-time windows, but trended towards an increased risk for duloxetine-exposed when compared with duloxetine-non-exposed, selective serotonin reuptake inhibitor-exposed, and duloxetine discontinuers in both early exposure and late exposure. The odds ratios ranged between 1.17 and 2.04, of which some did not reach statistical significance. No clear association was observed when compared with venlafaxine exposed, 0.91 (95% confidence interval 0.73–1.14) for early exposure and 1.26 (95% confidence interval 0.86–1.86) for late exposure. Most preterm births (79.2%) occurred in weeks 33–36 of gestation. Conclusions Duloxetine exposure during pregnancy is unlikely to increase the risk of small for gestational age. Although not consequently statistically significant across comparisons, a trend towards an increased risk of preterm birth was observed for duloxetine exposed. Therefore, an increased risk of preterm birth cannot be excluded, especially for women exposed to duloxetine throughout pregnancy.

Abstract Mosquito transmit numbers of parasites and pathogens resulting in fatal diseases. Species identification is a prerequisite for effective mosquito control. Existing morphological and molecular classification methods have evitable disadvantages. Here we introduced Deep learning techniques for mosquito species identification. A balanced, high-definition mosquito dataset with 9900 original images covering 17 species was constructed. After three rounds of screening and adjustment-testing (first round among 3 convolutional neural networks and 3 Transformer models, second round among 3 Swin Transformer variants, and third round between 2 images sizes), we proposed the first Swin Transformer-based mosquito species identification model (Swin MSI) with 99.04% accuracy and 99.16% F1-score. By visualizing the identification process, the morphological keys used in Swin MSI were similar but not the same as those used by humans. Swin MSI realized 100% subspecies-level identification in Culex pipiens Complex and 96.26% accuracy for novel species categorization. It presents a promising approach for mosquito identification and mosquito borne diseases control.

Clarifying the evaluation methods and factors influencing shale brittleness is of great practical significance for fracture mechanism analysis, rock mass stability evaluation, geophysical interpretation, ”sweet spot” engineering optimization, and exploration risk assessment. This paper comprehensively analyses and discusses the evaluation methods and factors influencing shale brittleness. This study shows that the methods for evaluating shale brittleness mainly include the rock stress–strain relationship, brittle minerals, and comprehensive evaluation methods. The factors influencing shale brittleness include internal geological and external environmental factors. The internal factors are mainly the type and content of brittle minerals, the content and maturity of organic matter, rock bedding, porosity, etc. In contrast, the external factors are the temperature and confining pressure environment under the controls of burial depth and horizontal [geostress] differences. These factors control the stress–strain characteristics, mechanical properties, and fracture characteristics of shale to different degrees, thereby affecting shale brittleness. Therefore, the combination of experimental testing and geophysical interpretation, the development of dynamic visualization technology, and the establishment of a geological evaluation model should be given more attention in the future to provide a reference for shale compressibility evaluation and optimization of favourable fracturing target intervals.

Abstract Background Whether cysteinyl-leukotriene receptor antagonists (LTRAs) have a similar antitussive effect to inhaled corticosteroids and long-acting β2-agonist (ICS/LABA), and that LTRA plus ICS/LABA is superior to LTRAs alone or ICS/LABA alone in treating cough variant asthma (CVA) remain unclear. This study aimed to investigate and compare the efficacy of montelukast alone, budesonide/formoterol alone and the combination of both in the treatment of CVA. Methods Ninety-nine CVA patients were assigned randomly in a 1:1:1 ratio to receive montelukast (M group: 10 mg, once daily), budesonide/formoterol (BF group: 160/4.5 μg, one puff, twice daily), or montelukast plus budesonide/formoterol (MBF group) for 8 weeks. The primary outcomes were changes in the cough visual analogue scale (VAS) score, daytime cough symptom score (CSS) and night-time CSS, and the secondary outcomes comprised changes in cough reflex sensitivity (CRS), the percentage of sputum eosinophils (sputum Eos%) and fractional exhaled nitric oxide (FeNO). CRS was presented with the lowest concentration of capsaicin that induced at least 5 coughs (C5). The repeated measure was used in data analysis. Results The median cough VAS score (median from 6.0 to 2.0 in the M group, 5.0 to 1.0 in the BF group and 6.0 to 1.0 in the MBF group, all p 0.05). The BF and MBF groups also showed significant decreases in FeNO after 8 weeks treatment (p = 0.001 and p = 0.008, respectively), while no significant change was found in the M group (p = 0.457). Treatment with MBF for 8 weeks significantly improved the FEV1/FVC as well as the MMEF% pred and decreased the blood Eos% (all p

In this paper, we present a hybrid algorithm based on parareal and Schwarz waveform relaxation (SWR) for solving time dependent partial differential equations. The parallelism can be simultaneously realized in the time direction by using a parareal and in the space direction via SWR. We give a convergence analysis for the hybrid algorithm for a 1D model problem, the reaction-diffusion equation. Weak scaling of the algorithm in terms of both the number of space subdomains and the number of paralleled time intervals were investigated via theoretical analysis and numerical experiments.

Nasopharyngeal carcinoma (NPC) is a common malignant tumor in China. Radiotherapy is the first-line treatment. After appropriate radiotherapy, about 5%-15% patients experience recurrence. In view of the poor efficacy and high incidence of severe late toxicities associated with re-irradiation, salvage surgery by the transnasal endoscopic approach is recommended for recurrent NPC (rNPC). Compared with re-irradiation, endoscopic surgery can better prolong survival, improve the quality of life, and reduce complications and medical expenses of patients with rNPC. However, the complexity of the nasopharyngeal skull base enhances the difficulty and risk of surgery. Expanding the boundary of surgical resection remains a clinical challenge for otolaryngologists. In this regard, to help more advanced patients with rNPC, the surgical innovative system of NPC needs to be established by multi-disciplinary cooperation, involving skull base anatomy-based investigation, appropriate administration of the internal carotid artery (ICA), repair of skull base defect, and establishment of various types of endoscopic endonasal nasopharyngectomy.

Currently, the relationship between nutritional indices and the prognosis of hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs) remains unclear. This study aims to investigate the prognostic value of psoas muscle index (PMI), prognostic nutritional index (PNI), body mass index (BMI), and geriatric nutritional risk index (GNRI) in HCC patients treated with ICIs combined with TKIs. A total of 124 male patients with HCC were included in this study. PNI, PMI, BMI, and GNRI were calculated at the beginning of treatment. The Cox proportional hazards model was used to analyze the effect of various variables. In the univariate analysis, PMI, PNI, GNRI, and ALB were found to impact the outcomes of the patients at different follow-up times. However, the predictive value of these nutritional indices was eliminated when established risk factors were considered. In the multivariate analysis that only included nutrition-related indicators, PMI emerged as an independent prognostic factor for 1-year treatment outcomes. The group with low PMI (≤5.5409 cm2/m2) was found to have a higher risk of death at one year and at the end of the follow-up period.

The large-scale development and utilization of shale gas is significant for achieving the “Carbon Peak and Carbon Neutrality” goals. However, addressing the ecological environmental challenges stemming from extensive hydraulic fracturing is imperative. Drawing from the successful exploration and development of shale gas in the Sichuan Basin, this paper employs a bibliometric approach and utilizes the Web of Science database as its data source to review the impact of shale gas development on the ecological environment. Furthermore, effective strategies for achieving coordinated development of shale gas benefit exploitation and ecological environmental conservation in China are identified. The findings highlight that the ecological impact of shale gas development has been a major focus of research over the past decade, primarily involving concerns such as water resources consumption, groundwater pollution, methane emissions, and waste management. These challenges can be addressed by adopting measures such as responsible water usage, maintaining well integrity, proper storage and disposal of fracturing flowback fluids, and appropriate management of drilling solid waste. The key to achieving green and efficient shale gas development in China lies in constructing a solid theoretical framework for benefit exploitation, refining environmental management standards and regulations, and promoting the development of clean production technologies specific to shale gas. Additionally, establishing a distinct exploration and development theory and fostering technical innovation for deep shale gas (buried depth > 3500m) are pivotal for enhancing and stabilizing production in China. Clarifying the theoretical logic of benefit development and improving the environmental protection law of shale gas development are of great significance for realizing the scale benefit development of shale gas and the harmonious development of ecological environment in China.

Recently GeSe has developed as a promising light harvesting material by enjoying to its optical and electrical features as well as earth-abundant and low-toxic constituent elements. Nevertheless, the power conversion efficiency of GeSe-based solar cells yet lags far behind the Shockley-Queisser limit. In this work, we systematically designed, simulated and analyzed the highly efficient GeSe thin-film solar cells by SCAPS-1D. The influence of thickness and defect density of light harvest material, GeSe/CdS interface defect density, electron transport layer (ETL), electrode work function and hole transport layer (HTL) on the device output are carefully analyzed. By optimizing the parameters (thickness, defect, concentration, work function, ETL and HTL), an impressive PCE of 17.98% is delivered along with Jsc of 37.11 mA/cm2, FF of 75.53%, Voc of 0.61 V. This work offers theoretical guidance for the design of highly efficient GeSe thin film solar cells.

Rockfalls on debris slopes pose a significant hazard to canyon roads on the Tibetan Plateau. In order to assess risks and develop effective engineering solutions, it is crucial to fully understand the characteristics and processes of rockfall movement. This research utilizes UAVs and three-dimensional (3D) laser scanners to capture images and data, while Pix4D is employed to create a high-precision 3D model from the collected data. Unity3D is utilized to analyze the movement characteristics and deposition positions of rockfall. Various movement characteristic indexes, such as velocity, acceleration, displacement, energy loss, and deposit position, are computed and examined for blocks with different shapes, sizes, instability types on the debris slope, and blocks composed of various slope materials and inclinations. The aim is to obtain insights into the specific movement mechanisms of debris slopes, which differ from conventional slopes. Field experiments have confirmed the effectiveness of the Unity3D simulation approach. Building upon this foundation, a high-precision 3D simulation model for the debris slope of the G318 Highway on the Tibetan Plateau is developed using Unity3D. This model is used to calculate the movement characteristics, energy variation, and deposition positions of rockfall. The findings are then compared with those of common models. The results demonstrate that the high-precision 3D simulation model computed by Unity3D provides more accurate and reasonable results compared to the common model. Moreover, the movement characteristics, energy variation, and deposition positions of rockfall on debris slopes exhibit specific characteristics. By employing Unity3D simulation analysis, a comprehensive understanding of the phenomena and behavior of rockfall on debris slopes can be achieved, enabling the proposal of more reasonable engineering protection measures.

Dustbins function as critical infrastructures for urban sanitation, creating a distinct breeding ground for microbial assemblages. However, there is no information regarding the dynamics of microbial communities and the underlying mechanism for community assembly on dustbin surfaces. Here, surface samples were collected from three sampling zones (business building, commercial street and residential community) with different types (kitchen waste, harmful waste, recyclables, and others) and materials (metallic and plastic); and distribution pattern and assembly of microbial communities were investigated by high-throughput sequencing. Bacterial and fungal communities showed the distinct community variations across sampling zones and waste sorting. Core community and biomarker species were significantly correlated with the spatial distribution of overall community. The detection of pathogens highlighted the potential risk of surface microbiome. Human skin, human feces and soil biomes were the potential source environments of the surface microbiomes. Neutral model prediction suggested that microbial community assembly was significantly driven by stochastic processes. Co-association patterns varied with sampling zones and waste types, and neutral amplicon sequence variants (ASVs) that fall within the 95 % confidence intervals of neutral model were largely involved in the stability of microbial networks. These findings improve our understanding of the distribution pattern and the underlying assembly of microbial community on the dustbin surface, thus enabling prospective prediction and assessment of urban microbiomes and their impacts on human health.

BackgroundInactivated SARS-CoV-2 vaccination has recently been approved for children aged 3-17 years in China. However, data on long-term humoral responses to inactivated vaccines in children with chronic hepatitis B (CHB) are still limited.MethodsIn this prospective observational study, CHB children after primary inactivated SARS-CoV-2 vaccines were recruited consecutively and followed up for 1 year. CHB adults from another cohort study (NCT05007665) were used as a control. The receptor-binding domain IgG antibody (anti-RBD-IgG), neutralizing antibody (NAb), neutralization against Omicron (BA2.12.1, BA.4 and BA.5), and memory B -cell (MBC) responses were evaluated.ResultsOverall, 115 CHB children and 351 CHB adults were included in this analysis. The antibody titers decreased over the first ~180 days and then plateaued up to 1 year in CHB children. However, lower and faster declines in antibody responses were observed in CHB adults. Interestingly, the seroprevalence of antibodies was still high after over 8 months in CHB children (anti-RBD-IgG [90%] and NAbs [83%]). However, neutralization against Omicron subvariants was significantly reduced in CHB children (-3.68-fold to -8.60-fold). Notably, neutralization against the BA.5 subvariant was obviously diminished in CHB children compared with adults. Moreover, CHB children had similar RBD-specific MBCs but higher RBD-specific atypical MBCs compared with adults.ConclusionInactivated vaccination could elicit more robust and durable antibody responses to the wild-type SARS-CoV-2 strain in CHB children than in CHB adults but showed inferior responses to Omicron subvariants (especially to the BA.5 strain). Hence, new Omicron-related or all-in-one vaccines are needed immediately for CHB children.

Although mitochondrial gene rearrangement has been observed in many insect lineages, little is known about how it affects mitochondrial gene transcription. To address this question, we first constructed a quantitative transcription map for Aphidius gifuensis, a species of parasitoid wasp known to have a highly rearranged mitochondrial genome (mitogenome) and two potential control regions (CRs). Based on this transcription map, we assessed the models of the mitochondrial transcription and post-transcription cleavage. We found that the J and N strand of this mitogenome differ significantly in transcriptional regulation. On the J strand, we found two transcription initiation sites (TISs), five transcription termination sites (TTSs), and six polycistronic primary transcripts whereas only one TIS, one TTS and one polycistronic primary transcript can be found on the N strand. Most of the non-coding regions of both strands were transcribed into primary transcripts and cleaved after transcription. The proposed mode of transcription of A. gifuensis was similar to that of Drosophila, a model organism with no gene rearrangement. And two rearranged gene clusters (trnI-CR1-trnM-CR2-trnQ and trnW-trnY-trnC) seemed to have little effects on the mode of transcription. In addition, our results revealed the presence of TISs in CR1 and CR2, implying that both CRs maybe required for transcriptional regulation. Analysis of the post-transcriptional cleavage process showed that there were both “forward cleavage” and “reverse cleavage” models in A. gifuensis, and more than one way of cleavages were found in three regions. The incomplete transcripts suggested that the direction of mitochondrial RNA degradation was from 5′ to 3′ end and supported the view of polyadenylation-dependent RNA degradation. Our study provides insights into the transcriptional and post-transcriptional regulation processes of highly rearranged insect mitogenomes.

In this study, an innovative transdermal peptide, #PKU12, was developed based on transdermal peptide TD-1, and the anti-tumor effect of PKU12-based siRNA against HPV was investigated in vivo. Furthermore, transcriptome differences between PKU12 + siRNA treatment and control groups were compared to assess treatment effects. The top five upregulated and downregulated genes identified by RNA sequencing were further subjected to survival analysis. The present study, for the first time, showed that this novel peptide could enhance the transdermal delivery of the siRNA targeting HPV16 L1, E6, and E7. PKU12-based siRNA delivery significantly repressed the mRNA expression levels of HPV16 L1, E6, and E7 in the SiHa xenograft tumors and attenuated tumor growth as well. The RNA-sequencing results showed that a total of 586 DEGs were detected in the PKU12 + siRNA-treated tumor tissues compared to the control tumor tissues. The GSEA analysis revealed that DEGs were inversely associated with the HIF-1 signaling pathway, the TNF signaling pathway, the AGE-RAGE signaling pathway, the NF-kappa B signaling pathway, ferroptosis, the IL-17 signaling pathway, ovarian steroidogenesis, and rheumatoid arthritis. Further functional enrichment analysis revealed that DEGs were significantly enriched in several key pathways, including cytokine–cytokine receptor interaction, the TNF signaling pathway, and the IL-17 signaling pathway. High expression of MYH1, MYH4, FGG, DEPP1, and ZBTB16 was associated with shorter overall survival of patients with cervical cancer; high expression of SULT1E1, RAB3C, CXCR3, and PROX2 was associated with longer overall survival of patients with cervical cancer. In conclusion, the transdermal peptide PKU12 is potentially a good candidate for a siRNA delivery vehicle for the treatment of cervical cancer.

Due to the variability of body coloration and morphological similarity among closely related species, unresolved issues and debates still persist in the taxonomic study of the genus Sycanus from China. In this study, we conducted phylogenetic analyses and species delimitation for Sycanus in China based on a COI DNA barcoding dataset comprising 81 samples. The results revealed that all the samples could be classified into 12 species by integrating molecular analyses with morphological comparison. This paper provides a comprehensive systematic review of the Sycanus species found in China, including descriptions of three new species: S. taiwanensis Zhao & Cai sp. nov., S. flavicorius Li & Cai sp. nov., and S. hainanensis Wang & Cai sp. nov. Furthermore, it is proposed that S. croceovittatus Dohrn, 1859, S. leucomesus Walker, 1873, and S. villicus Stål, 1863, are three synonyms of S. bifidus (Fabricius, 1787); S. bicolor Hsiao, 1979, is a synonym of S. versicolor Dohrn, 1859; and S. hsiaoi Maldonado-Capriles, 1990, is a synonym of S. marginellus Putshkov, 1987. Additionally, brief biological information is provided for two species, S. falleni Stål, 1863, and S. croceus Hsiao, 1979.

Because of its uneven and large slope, unstructured pavement presents a great challenge to obtaining the adhesion coefficient of pavement. An estimation method of the peak adhesion coefficient of unstructured pavement on the basis of the extended Kalman filter is proposed in this paper. The identification accuracy of road adhesion coefficients under unstructured pavement is improved by introducing the equivalent suspension model to optimize the calculation of vertical wheel load and modifying vehicle acceleration combined with vehicle posture data. Finally, the multi-condition simulation experiments with Carsim are conducted, the estimation accuracy of the adhesion coefficient is at least improved by 3.6%, and then the precision and effectiveness of the designed algorithm in the article are verified.

In view of the safety early warning problems involved in X80 corroded pipeline crossing landslide, it is proposed to take the limit width as the discrimination factor of pipeline safety state, establish a finite element model according to the specific landslide conditions, to analyze the influence of different corrosion sizes and spatial positions of pipeline on the mechanical behavior and limit width of corroded pipeline. The results show that the limit width can be used to evaluate the safety state of pipeline. The width and depth of corrosion are negatively correlated with the ultimate width of pipeline, and show high sensitivity to corrosion depth; the influence of internal corrosion on pipeline safety is greater than that of external corrosion; under the soil landslide with a slope of 30°, the critical cross landslide width of the non-corrosive X80 pipeline with an outer diameter of 10.16 cm is 21.2 m, and the critical corrosion depth of the corrosive pipeline crossing the landslide is 0.25 times the wall thickness; when the distance between the corroded pipeline and the middle of the landslide area is greater than 6 m, the influence on the limit width of the pipeline can be ignored; the pipeline stress is negatively correlated with the limit width. When the corrosion depth is 0.2 times the wall thickness, the maximum stress of the pipeline is always at the corrosion position, and the stress at other positions is consistent with that of the non-corrosive pipeline.

Abstract Accurate prediction of the extent of fibrosis is of great clinical importance in patients infected with chronic hepatitis B (CHB). This study aimed to compare the performance of gamma‐glutamyl transpeptidase‐to‐platelet ratio (GPR), aspartate aminotransferase‐to‐platelet ratio index (APRI), and fibrosis‐4 (FIB‐4) in evaluating liver fibrosis stages and to identify optimized cutoffs to exclude cirrhosis. Consecutive patients with CHB with liver biopsies were enrolled and randomly divided into derivation and validation cohorts. Areas under the receiver operating characteristic curve were used to evaluate the diagnostic performance of APRI, FIB‐4, and GPR to distinguish fibrosis stages. New cutoffs with a sensitivity of at least 90% and a negative predictive value (NPV) of more than 95% were identified. A total of 880 individuals were enrolled in this study. The derivation data set consisted of 617 patients, with 82 patients with cirrhosis. In the validation cohort (n = 263), 29 patients had cirrhosis. APRI, FIB‐4, and GPR had comparable diagnostic performance for diagnosing significant fibrosis. GPR outperformed APRI (p

Abstract The aim of this study was to investigate the clinical characteristics of Chlamydia psittaci pneumonia and evaluate the diagnostic value of Metagenomic Next‐Generation Sequencing (mNGS). A total of 44 patients diagnosed with Chlamydia psittaci pneumonia using mNGS were retrospectively analysed. The demographic and clinical features, laboratory data, imaging findings and clinical outcomes were collected. Results showed that 65.91% of the patients had a history of exposure to poultry or birds. All patients presented with fever. Apart from systemic and respiratory symptoms, some patients also presented with digestive and neurological symptoms. Respiratory failure was common among patients. The key laboratory tests were normal white blood cell counts, slightly elevated PCT, changes in levels of cardiac enzymes, liver enzymes and hyponatremia. Chest imaging revealed that most of the lesions contained patchy exudation or lobar consolidation of one lobe, especially in the lower lobe. Consolidation of both lungs was seen in critically ill patients. Although quinolones were effective in most patients, tetracyclines should be the first choice of treatment. The overall prognosis was good; however, patients who developed severe pneumonia had poor prognosis. The incidence of chlamydia psittaci pneumonia may be underestimated due to the nonspecific clinical manifestations and lack of confirmatory testing methods. The use of mNGS has increased the number of patients diagnosed with chlamydia psittaci pneumonia. mNGS is an effective diagnostic method for chlamydia psittaci pneumonia.

The roles of marine plastisphere in global nitrogen cycling are largely unknown. Here, the authors indicate that the plastisphere could act as a potential source of N2O production, which is mainly regulated by the biotic denitrification

In recent years, political theorists have begun to systematically consider the concept and justification of territorial rights, and advance rival theories of state’s (or nation’s) rights over territory. This article aims to advance our understanding of the challenge facing territorial rights theories, by closely analysing one of the most developed and important theories of territory, viz., the nationalist theory. It argues that nationalist theory, which employs a quasi-Lockean argument for territorial rights, faces a problem of attribution: What value-adding activities can be attributed to a cultural nation, which is viewed as the primary holder of territorial rights by the theory? It proceeds to examine three approaches to solve the problem of attribution – but argues that all of them fail. In the concluding section, the paper explores the potential implications of this largely critical argument for all attempts to develop a coherent and plausible normative theory of territory.

To develop therapeutics that selectively eliminate pathological senescent cells it is important to understand their survival mechanisms. Here, the authors show that senescent cells manage to survive by keeping p53 activity in check through multiple mechanisms, including inhibitory mechanisms that involve p53 binding to ribonucleases.

Abstract A critical challenge lies in the development of the next‐generation neural interface, in mechanically tissue‐compatible fashion, that offer accurate, transient recording electrophysiological (EP) information and autonomous degradation after stable operation. Here, an ultrathin, lightweight, soft and multichannel neural interface is presented based on organic‐electrochemical‐transistor‐(OECT)‐based network, with capabilities of continuous high‐fidelity mapping of neural signals and biosafety active degrading after performing functions. Such platform yields a high spatiotemporal resolution of 1.42 ms and 20 µm, with signal‐to‐noise ratio up to ≈37 dB. The implantable OECT arrays can well establish stable functional neural interfaces, designed as fully biodegradable electronic platforms in vivo. Demonstrated applications of such OECT implants include real‐time monitoring of electrical activities from the cortical surface of rats under various conditions (e.g., narcosis, epileptic seizure, and electric stimuli) and electrocorticography mapping from 100 channels. This technology offers general applicability in neural interfaces, with great potential utility in treatment/diagnosis of neurological disorders.

Musculoskeletal diseases are the leading causes of chronic pain and physical disability, affecting millions of individuals worldwide. Over the past two decades, significant progress has been made in the field of bone and cartilage tissue engineering to combat the limitations of conventional treatments. Among various materials used in musculoskeletal tissue regeneration, silk biomaterials exhibit unique mechanical robustness, versatility, favorable biocompatibility, and tunable biodegradation rate. As silk is an easy-to-process biopolymer, silks have been reformed into various materials formats using advanced bio-fabrication technology for the design of cell niches. Silk proteins also offer active sites for chemical modifications to facilitate musculoskeletal system regeneration. With the emergence of genetic engineering techniques, silk proteins have been further optimized from the molecular level with other functional motifs to introduce new advantageous biological properties. In this review, we highlight the frontiers in engineering natural and recombinant silk biomaterials, as well as recent progress in the applications of these new silks in the field of bone and cartilage regeneration. The future potentials and challenges of silk biomaterials in musculoskeletal tissue engineering are also discussed. This review brings together perspectives from different fields and provides insight into improved musculoskeletal engineering.

ABSTRACT: In this study, the effects of naringin on hepatic yolk precursors formation and antioxidant capacity of Three-Yellow breeder hens during late laying period were evaluated. A total of 480 (54-wk-old) Three-Yellow breeder hens were randomly assigned to 4 groups (6 replicates of 20 hens): nonsupplemented control diet (C), and control diet supplemented with 0.1%, 0.2%, and 0.4% of naringin (N1, N2, and N3), respectively. Results showed that dietary supplemented with 0.1%, 0.2%, and 0.4% of naringin for 8 wk promoted the cell proliferation and attenuated the excessive fat accumulation in the liver. Compared with C group, increased concentrations of triglyceride (TG), total cholesterol (T-CHO), high-density lipoprotein cholesterol (HDL-C), and very low-density lipoprotein (VLDL), and decreased contents of low-density lipoprotein cholesterol (LDL-C) were detected in liver, serum and ovarian tissues (P < 0.05). After 8 wk of feeding with naringin (0.1%, 0.2%, and 0.4%), serum estrogen (E2) level, expression levels of proteins and genes of estrogen receptors (ERs) increased significantly (P < 0.05). Meanwhile, naringin treatment regulated expression of genes related to yolk precursors formation (P < 0.05). Furthermore, dietary naringin addition increased the antioxidants, decreased the oxidation products, and up-regulated transcription levels of antioxidant genes in liver tissues (P < 0.05). These results indicated that dietary supplemented with naringin could improve hepatic yolk precursors formation and hepatic antioxidant capacity of Three-Yellow breeder hens during the late laying period. Doses of 0.2% and 0.4% are more effective than dose of 0.1%.

The deep shale gas reservoirs of the Wufeng-Longmaxi Formations in the southern Sichuan Basin have strong heterogeneity and complex geological characteristics, resulting in a poor fracturing effect and low vertical production. Based on whole-rock X-ray diffraction analysis, scanning electron microscopy, shale gas-bearing experiments, rock mechanical parameter tests and well logging and elemental logging data, the sedimentary environment, and geological characteristics of this deep shale gas are analyzed, and the shale fracability is evaluated. (1) The type of organic matter is affected by factors such as sea level change, hydrodynamics, reducing environmental conditions, algae bioenrichment, and tectonic stability, and the contents of Type I and Type II kerogens in the lowermost reservoir of the Wufeng-Longmaxi Formations are high. (2) The pores between the biogenic siliceous minerals (the framework) and numerous organic pores provide space for the occurrence of shale gas. High-quality reservoirs have a high brittle mineral content, a high Young’s modulus, a low Poisson’s ratio, an appropriate fracturing pressure, a small net stress difference, and a high shale fracability. (3) Multicluster perforation, temporary plugging near the wellbore, and multistage fracturing can be used in the Wufeng Formation-Longmaxi Formation, increasing the near-wellbore hydraulic fracture complexity and improving the hydraulic fracturing effect.

Short-term power load forecasting provides important guidance for the improvement of power marketing and control levels of power enterprises. In this paper, a novel method, named RF-TStacking, is proposed to forecast the short-term load. This study starts from the influence factors of the power load, the random forest is applied to estimate the importance of the influence factors of short-term load. Based on Stacking strategy, the integration of LightGBM and random forest is realized to achieve short-term power load forecasting. To improve the generalization ability of the load model, random put back sampling is used to sample each primary learner, and the average value is taken as the result of each primary learner. The Bayesian optimization is used to adjust the super parameters of the model to improve the accuracy of the selection of influencing factors. The load data of a region in northwest China are used for the testing, and it is found that the model can provide stable prediction results.

BackgroundThe prostate, as an endocrine and reproductive organ, undergoes complex hormonal and metabolic changes. Recent studies have shown a potential relationship between metabolic syndrome and the progression and recurrence of prostate cancer (PCa). This study aimed to construct a metabolic syndrome-related prognostic index (MSRPI) to predict biochemical recurrence-free survival (BFS) in patients with PCa and to identify cold and hot tumors to improve individualized treatment for patients with PCa.MethodsThe Cancer Genome Atlas database provided training and test data, and the Gene Expression Omnibus database provided validation data. We extracted prognostic differentially expressed metabolic syndrome-related genes (DEMSRGs) related to BFS using univariate Cox analysis and identified potential tumor subtypes by consensus clustering. The least absolute shrinkage and selection operator (LASSO) algorithm and multivariate Cox regression were used to construct the MSRPI. We further validated the predictive power of the MSRPI using KaplanMeier survival analysis and receiver operating characteristic (ROC) curves, both internally and externally. Drug sensitivity was predicted using the half-maximal inhibitory concentration (IC50). Finally, we explored the landscape of somatic mutations in the risk groups.ResultsForty-six prognostic DEMSRGs and two metabolic syndrome-associated molecular clusters were identified. Cluster 2 was more immunogenic. Seven metabolic syndrome-related genes (CSF3R, TMEM132A, STAB1, VIM, DUOXA1, PILRB, and SLC2A4) were used to construct risk equations. The high-risk index was significantly associated with a poor BFS, which was also validated in the validation cohort. The area under the ROC curve (AUC) for BFS at 1-, 3-, and 5- year in the entire cohort was 0.819, 0.785, and 0.772, respectively, demonstrating the excellent predictive power of the MSRPI. Additionally, the MSRPI was found to be an independent prognostic factor for BFS in PCa. More importantly, MSRPI helped differentiate between cold and hot tumors. Hot tumors were associated with the high-risk group. Multiple drugs demonstrated significantly lower IC50 values in the high-risk group, offering the prospect of precision therapy for patients with PCa.ConclusionThe MSRPI developed in this study was able to predict biochemical recurrence in patients with PCa and identify cold and hot tumors. MSRPI has the potential to improve personalized precision treatment.

Abstract Flexible and bio‐integrated electronics have attracted great attention due to their enormous contributions to personalized medical devices. Power sources, serving as one of the most important components, have been suffering from many problems, including deficient biocompatibility, poor stretchability, and unstable electrical outputs under deformed conditions, which limits the practical applications in flexible and bio‐integrated electronics. Here, we reported a fully stretchable magnesium (Mg)–air battery based on dual‐ions‐conducting hydrogels (SDICH). The high‐performance battery enables long‐term operation with lighting 120 lighting emitting diodes (LEDs) for over 5 h. Benefiting from the advanced materials and mechanical designs, the battery exhibits stability electrical outputs under stretching, which allows to operate ordinarily under various mechanical deformations without performance decay. Furthermore, the great biocompatibility of the battery offers great opportunity for biomedical applications, which is demonstrated by a self‐adaption wound dressing system. The in vitro and in vivo results prove that the self‐adaption wound dressing can effectively prevent wound inflammation and promote wound healing. By exploiting thermal feedback mechanics, the system can adjust antibiotic release rate and dosage spontaneously according to the real‐time wound conditions. The proposed fully stretchable Mg–air battery and self‐adaption wound dressing display great potential in skin‐integrated electronics and personalized medicine.