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Objective: The objective of this study is to determine the drug resistance status of pulmonary tuberculosis patients in Jilin Province.Methods: A retrospective survey was conducted on 395 sputum culture TB-positive patients admitted to the tuberculosis hospital in Jilin Province in 2019. Sputum samples were cultured in acidic Roche medium. Drug sensitivity testing was conducted using the proportional method. Sensitivity was reported if the percentage of drug resistance was less than 1%, and resistance was reported if the percentage was ≥1%. Statistical analysis was performed using SPSS 22.0.Results: 395 tuberculosis patients with positive sputum tuberculosis culture were included in the study, with 102 being initially treated and 293 being retreated. The study population consisted of 283 males and 112 females. Sex, age, nationality, occupation, marital status, diabetes comorbidity, initial treatment, normal health status, BCG vaccine vaccination, smoking, and alcohol consumption were considered as factors that may affect the rate of multidrug resistance. And only the history of treatment (initial treatment) was associated with multidrug resistance (p = 0.032). This indicates that retreatment is the most significant risk factor for the occurrence of multidrug resistance in tuberculosis. The multidrug resistance rate in retreated patients is 3.764 times higher than that in initially treated patients.Conclusion: The prevalence of multidrug-resistant is higher in retreated patients compared to initially treated patients in the study population. Multidrug resistance is only associated with the treatment history (initial retreatment) and not with other factors.

Objective: This study aims to explore the clinical application of an AI-3D reconstruction system in measuring lung volume and analyze its practical value in donor-recipient size matching in lung transplantation.Methods: The study retrospectively collected data from 75 subjects who underwent a plethysmography examination and lung CT at the First Hospital of Jilin University. General data and information related to lung function, and imaging results were collected. The correlation between actual total lung volume (aTLV), predicted total lung volume (pTLV), and artificial intelligence three-dimensional reconstruction CT lung volume (AI-3DCTVol) was analyzed for the overall, male, and female groups. The correlation coefficient and the absolute error percentage with pTLV and AI-3DCTVol were obtained.Results: In the overall, male, and female groups, there were statistical differences (p

Orbital angular momentum (OAM) multiplexing technology has attracted significant interest due to its ability to increase the data transmission capacity in optical communications. By combining OAM-based mode division multiplexing (MDM) and wavelength division multiplexing (WDM) techniques in multi-core fiber (MCF), the transmission rate and spectral efficiency of the optical communication systems can be greatly enhanced. In this paper, we present a design of a multi-ring air-core trench-assisted fiber that supports transmission over the entire C + L (1530–1625 nm) band with low inter-ring crosstalk. The high-contrast ring and trench design can effectively suppress the inter-modal crosstalk. The effects of the ring spacing, wavelength range and doping concentration on the crosstalk suppression are also systematically investigated. Furthermore, the complexity of the MIMO processing system is greatly reduced with a fewer-optical-core structure while keeping low inter-ring crosstalk. The results demonstrate that our designed fiber can support 140 OAM modes at 1550 nm with 5.39 × 10−4. Additionally, our designed fiber can support 224 OAM modes (37.5 mol% Ge-doped) and 5.45 × 10−4) and flat dispersion distribution (chromatic dispersion slope lower than 0.171 ps/nm2/km) across the C + L band.

With the rapid development of civil aviation industry, more and more tasks are required to fuel the aircraft. At present, the aircraft refueling task is mainly assigned to the refueling personnel by the dispatcher of the fuel supplier, one by one, according to the flight refueling information, after receiving the task, the refueling operator drives the refueling vehicle to the aircraft for refueling operation. The realization of electronic, information and big data analysis technology has gradually opened up the information channel of refueling system. Based on a large number of multi-dimensional data, according to the characteristics of aircraft refueling operation, an intelligent dispatching method for aircraft refueling vehicle is provided, which can automatically assign refueling tasks, avoid flight delays and the resulting serious waste of resources and can reduce the workload of the dispatcher. Through the intelligent dispatch, refueling resources can be reasonably allocated to ensure the timely refueling of aircraft and smooth completion of flight support tasks.

As the core basic equipment of the industrial control system, PLC is widely used in important national infrastructure and various industrial control fields. It is the top priority to realize the transformation from made in China to intelligent manufacturing in China to control the industrial site independently, safely, stably and reliably. In this context, domestic PLC has a strong and rapid development momentum, especially in high-end application fields such as aerospace, national defense and military industry. There is an urgent demand for domestic high-performance PLC products. Due to the late development and less application of domestic large-scale PLC, how to evaluate the performance of domestic PLC and whether it can meet the industrial field application is lack of unified standards and evaluation methods. In view of this problem, a set of comprehensive test platform for domestic high-performance PLC is designed. Two mainstream domestic PLCs are selected for quantitative comparison of horizontal parameters with a foreign mainstream product. The key performance indicators and evaluation methods of high-end PLC are proposed. By building a hardware in the loop virtual industrial scene, the ability of PLC to meet the application is tested and compared. The effectiveness of the test platform is verified through a test example, which provides a basis for the evaluation of domestic high-performance PLC Choose to provide reference, promote the normalization, standardization and scale of domestic PLC, and help the high-quality development of Industry 4.0.

Highlights The excellent performance of MoS2/PANI cathode is due to better conductivity and desolvation shielding. The self-charging zinc battery was successfully assembled that achieve deep self-discharge and long cycle life. The quasi solid state battery and battery module have excellent performance and practicability.

Due to its advantages of high accuracy and strong applicability, the evaluation criteria based on dent strain is widely used to evaluate the applicability of buried long-distance pipelines with dents. In order to obtain the more accurate strain value of dent, an analytical calculation method was proposed for strain of pipelines with smooth dents based on 3D scanning profile. Specifically, the scanned point cloud data were pre-processed with the reverse engineering software, the smooth dent surface was reconstructed with the cubic B-spline interpolation function, and the point cloud data were divided into the regular grid node coordinates through data gridding. Besides, the displacement and strain of each node after dent deformation were derived based on the thin shell theory and geometrical deformation analysis,with the calculation results compared with that obtained by the finite element method and formula from ASME B31.8.According to the results, the average relative errors of maximum equivalent strain results of inner wall calculated by the proposed analytical calculation method, and formula from ASME B31.8 compared with FEA method are 17.59% and 11.56%, while that of the outer wall are 7.73% and 13.16%, respectively. Hence, the analytical calculation method is more accurate for strain calculation of the outer wall of dent than formula from ASME B31.8. In general, the research results could provide theoretical basis for the field applicability evaluation of pipelines with dents.

Abstract Background Gastric cancer is one of the leading cancer-related death causes. Enormous efforts have been focused on this field in these years. However, clinical trial failure is becoming a massive obstacle for researchers to apply their research results for clinical use. This study aimed to analyze the reasons behind clinical failures and identify potential risk factors of clinical trial failures. Methods On December, 1, 2021, we queried ClinicalTrials.gov for gastric cancer listed in phase II/III. We included trials specifying their interests in “stomach cancer”, “Stomach Neoplasms”, “Gastric Cancer”, “Gastric Neoplasms”, “Gastric Carcinoma”, “Stomach Carcinoma”, “Gastroesophageal Junction Cancer”. Exclude criteria are: (1) Trials that start prior to 01/01/2007 and start after 12/01/2020; (2) Trials with “not yet recruiting”, “suspended”, “withdrawn”, or “unknown” status; (3) Trials do not provide an anticipated accrual number or a start date. Results A total of 567 trials are included. 10.2% of these trials are failed. 16 (2.82%) were terminated for good reasons, and 42 (7.41%) were terminated for bad reasons. Multi-centre (P-value = 0.088) and anticipated accrual (P-value = 0.099) are potential risk factors for clinical failures in the simple logistic regression model. After considering the interaction between multi-centre and anticipated accrual, the odds ratio of anticipated accrual is 0.60 (P-value = 0.009) in single centre trials. In multi-centre trials, the odds ratio of anticipated accrual is 0.72 (P-value = 0.025). The primary reason for gastric cancer trial terminations is recruitment failure. Conclusion The rate that trials terminated in gastric cancer has decreased compared to previous studies. Comparing to other types of oncology trials, poor accrual continues to be the predominant reason, followed by business or sponsor reasons. Single-center trials with smaller anticipated accrual number are more likely to be terminated which may resulted by limited resources invested to the trial. Single-center design exacerbated the difficulty of participant recruitment. Future studies need to continue tracking the rate of trial termination across oncology and whether the reasons behind them have changed.

Abstract Mechanical precision corn seed-metering planter has a compact structure, missed and repeated seeding advantages during high-speed operation. In this regard, the current research study focuses on the development of a corn seed planter that features an inclined seed-metering device. The spatial layout of the seed-metering device is optimized to change the seed-filling mode to meet the needs of high-speed operation. Firstly, the mechanical characteristics and seeds in the metering device chamber were analyzed, and then the seed-filling stress model was established. Secondly, a mechanical model for corn seed particles was developed for virtual simulation tests and numerical analysis using the discrete element method (DEM) and EDEM software. Moreover, a quadratic rotating orthogonal center combination test was implemented by setting the inclination angle of seed-metering device θ(A), machine ground speed v(B), and rotation speed of metering disc n(C) as the influence factors, with the missed seeding rate M and the seed-filling stress S as the evaluation indices. The results indicated that the most significant factors affecting the missed seeding rate, seed-filling stress, S, were the rotation speed of the metering disc (n) > machine ground speed (v) > inclination angle of the metering disc (θ) and inclination angle of the metering device (θ) > rotation speed of the metering disc (n) > machine ground speed (v), respectively. However, the field verification test shows that the optimized corn seed-metering planter achieved mean values of M = 4.33, Q(qualified seeding rate) = 92.83%, and R(repeated seeding rate) = 2.84%, with average relative errors of 1.17% compared to the simulation tests and the accuracy and effectiveness of the DEM simulation model was verified. Therefore, the developed corn seed-metering device meets the industry standards and operation requirements for precise corn sowing, and technical support can be given for future studies of similar precision seeding equipment.

Objective: To efficiently exploited the discarded eggshells and eggshell membranes. Methods: The discarded eggshells was separated and collected. Used Fluent and EDEM coupling simulation to study the flow field characteristic and particles trajectory, which affected by structure parameters such as upper outlet diameter and lower outlet diameter of the collecting barrel. By analyzing flow field characteristic and capture rate of eggshells as well as eggshell membranes, the size of collecting barrel was optimized. The top angle, the vacuum of suction machine, the feeding inlet air velocity, the solid load of feeding inlet were used as the test factors. The recovery rates of eggshells and eggshell membranes were used as the two evaluation indexes. The experiments of collecting eggshells and eggshell membranes were performed and optimized. Results: The simulation showed that an appropriate decrease of the diameter of the upper and lower outlets will lead to more loss pressure drop in the cylinder, and increase the tangential velocity in the cylinder. When the upper outlet diameter was 0.4D (D is the diameter of the cylinder) and the lower outlet diameter was 0.5D, the capture rate of eggshells and eggshell membranes was the highest. The test results showed when the cyclone top angle was 45°, the solid load rate was 1 000 g/s, the feeding inlet air velocity was 4.64 m/s, the vacuum of suction machine was 336.61 Pa, the eggshell membranes recovery rate was 92.94%, and the eggshells recovery rate was 97.90%. Conclusion: The vacuum of suction machine and the feeding inlet air velocity mainly affect the flow field in the collecting barrel, and the solid load will cause different interactions between materials. After the experiment and simulation analysis of the factors that affect the collecting effects, the optimal level combination of factors is obtained. With the combination of these factors, the recovery rates of eggshell and eggshell membrane are higher, and the collecting device has a good effect.

Abstract Airborne SARS‐CoV‐2 virus surveillance faces challenges in complicated biomarker enrichment, interferences from various non‐specific matters and extremely low viral load in the urban ambient air, leading to difficulties in detecting SARS‐CoV‐2 bioaerosols. This work reports a highly specific bioanalysis platform, with an exceptionally low limit‐of‐detection (≤1 copy m−3) and good analytical accordance with RT‐qPCR, relying on surface‐mediated electrochemical signaling and enzyme‐assisted signal amplification, enabling gene and signal amplification for accurate identification and quantitation of low doses human coronavirus 229E (HCoV‐229E) and SARS‐CoV‐2 viruses in urban ambient air. This work provides a laboratory test using cultivated coronavirus to simulate the airborne spread of SARS‐CoV‐2, and validate that the platform could reliably detect airborne coronavirus and reveal the transmission characteristics. This bioassay conducts the quantitation of real‐world HCoV‐229E and SARS‐CoV‐2 in airborne particulate matters collected from road‐side and residential areas in Bern and Zurich (Switzerland) and Wuhan (China), with resultant concentrations verified by RT‐qPCR.

N-methyl-D-aspartate receptors (NMDA) are glutamate-gated ion channels critical for synaptic transmission and plasticity. A slight variation of NMDAR expression and function can result in devastating consequences, and both hyperactivation and hypoactivation of NMDARs are detrimental to neural function. Compared to NMDAR hyperfunction, NMDAR hypofunction is widely implicated in many neurological disorders, such as intellectual disability, autism, schizophrenia, and age-related cognitive decline. Additionally, NMDAR hypofunction is associated with the progression and manifestation of these diseases. Here, we review the underlying mechanisms of NMDAR hypofunction in the progression of these neurological disorders and highlight that targeting NMDAR hypofunction is a promising therapeutic intervention in some neurological disorders.

Lung cancer is a widely occurring and deadly malignancy, with high prevalence rates in China and across the globe. Specifically, non-small cell lung cancer (NSCLC) represents about 85% of all lung cancer cases. The 5-year disease-free survival rate after surgery for stage IB-IIIB NSCLC patients (disease-free survival, DFS) has notably declined from 73% to 13%. Early detection of abnormal cancer molecules and subsequent personalized treatment plans are the most effective ways to address this problem. Liquid biopsy, surprisingly, enables safe, accurate, non-invasive, and dynamic tracking of disease progression. Among the various modalities, circulating tumor DNA (ctDNA) is the most commonly used liquid biopsy modality. ctDNA serves as a credible “liquid biopsy” diagnostic tool that, to a certain extent, overcomes tumor heterogeneity and harbors genetic mutations in malignancies, thereby providing early information on tumor genetic alterations. Despite considerable academic interest in the clinical significance of ctDNA, consensus on its utility remains lacking. In this review, we assess the role of ctDNA testing in the diagnosis and management of NSCLC as a reference for clinical intervention in this disease. Lastly, we examine future directions to optimize ctDNA for personalized therapy.

As an important irritant trace gas in the atmosphere, ammonia (NH3) significantly impacts human health and environment. Bottom-up emission inventories are widely used to estimate ammonia emissions and their geographical distributions over China. However, high uncertainties are still associated with emission inventories due to inaccurate emission factors used. The Differential Evolution (DE) algorithm is a population-based stochastic optimization algorithm used to solve complicated optimization problems. We quantify NH3 emissions and lifetime from Infrared Atmospheric Sounding Interferometer (IASI) NH3 observations together with MERRA-2 wind fields based on the DE algorithm. Two inland cities, Urumchi and Golmud in China, are chosen to study of the NH3 emissions based on the distributions of NH3 total columns and wind fields. The NH3 emissions rate estimated is about 5.84 × 10−11 and 4.19 × 10−11 kg·m−2s−1 in Urumchi and in the Golmud area from May to September from 2008 to 2023, respectively. The lifetime of NH3 estimated in the two areas is 4.31 and 9.19 h, respectively. We compare the NH3 emissions and lifetime estimated in this study with the values in other studies, and the results show the reliability of the method used. This work is one of few quantitative studies of NH3 emissions from cities using satellite observations in China.

Red mud was modified by impregnation with Co element loading. The Co-RM catalyst was characterized using scanning electron microscopy (SEM), X-ray powder diffraction (XRD), X-ray fluorescence (XRF), and UV full-band scanning. The results showed that the modified Co-RM catalyst successfully loaded the Co element and formed an irregular pore structure on the surface, thereby increasing the number of active sites of the red mud catalyst and effectively improving the degradation efficiency of tetracycline. Under the optimal conditions of a catalyst dosage of 0.3 g/L, a persulfate dosage of 3 g/L, a reaction temperature of 50 °C, and a pH value of 7, a removal rate of 50 mg/L of tetracycline can be achieved: 89.5% after 90 min. The effects of common anions and humic acids in water, as well as radical quenchers (anhydrous ethanol and tert-butanol), on the degradation of tetracycline were investigated. The results showed that Cl−, CO32−, HCO3−, H2PO4−, NO32−, HPO42−, and humic acids showed inhibitory effects on the degradation of tetracycline, while SO42− showed a promoting effect on the degradation of tetracycline. The free radical quenching experiment showed that the most important free radicals that can degrade tetracycline in the system are sulfate radicals.

The flower buds of three Panax species (PGF: P. ginseng; PQF: P. quinquefolius; PNF: P. notoginseng) widely consumed as health tea are easily confused in market circulation. We aimed to develop a green, fast, and easy analysis strategy to distinguish PGF, PQF, and PNF. In this work, fast gas chromatography electronic nose (fast GC e-nose), headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS), and headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) were utilized to comprehensively analyze the volatile organic components (VOCs) of three flowers. Meanwhile, a principal component analysis (PCA) and heatmap were applied to distinguish the VOCs identified in PGF, PQF, and PNF. A random forest (RF) analysis was used to screen key factors affecting the discrimination. As a result, 39, 68, and 78 VOCs were identified in three flowers using fast GC e-nose, HS-GC-IMS, and HS-SPME-GC-MS. Nine VOCs were selected as potential chemical markers based on a model of RF for distinguishing these three species. Conclusively, a complete VOC analysis strategy was created to provide a methodological reference for the rapid, simple, and environmentally friendly detection and identification of food products (tea, oil, honey, etc.) and herbs with flavor characteristics and to provide a basis for further specification of their quality and base sources.

ObjectiveTo determine the pathogenic characteristics and genotype of two outbreaks of herpangina in children in Dapeng New District， Shenzhen， in May 2021.MethodsA total of five throat swabs from children in the two outbreaks of herpangina were collected and examined for common enteroviruses by real-time PCR. The VP1 region was further amplified by nested RT-PCR. The CLUSTAL W program in MEGA7 software was used to conduct the alignment and reconstruct a phylogenetic tree.ResultsThe pathogen causing the 2 cluster outbreaks of herpangina was coxsackievirus A4 （CVA4）. The sequences of CVA4 VP1 genes revealed that a nucleotide identity of 92% between the strains in the two outbreaks. The three CVA4 strains isolated in kindergarten A had the closest phylogenetic relationship with that isolated in Shenzhen in 2018（MN840533）， with the nucleotide identity of 98.11%. The two strains in kindergarten B had the closest phylogenetic relationship with CVA4 strain isolated in Sichuan in 2018（MW178763）， with the nucleotide identity of 97.88%. The phylogenetic tree showed that all five CVA4 strains in this study belonged to the C2 genotype.ConclusionThe C2 genotype of CVA4 is the causative agent in both outbreaks of herpangina.

ABSTRACTAscribed to its wide sensing range, high sensitivity, and low stiffness to match target objects with complex 3D shapes, the stretchable strain sensor has shown its promising applications in various fields, ranging from healthcare, bodynet, and intelligent traffic system, to the robotic system. This paper presents a low-cost and straightforward fabrication technology for the stretchable strain fiber with the combined attributes of a wide sensing range, exceptional linearity, and high durability. The hybrid composite consisting of carbon black and silicone is utilized as the functional material to respond to the external mechanical deformation due to the piezoresistive effect. To address the remarkable hysteresis of the CB-silicone composites, the latex tubes with excellent mechanical robustness and a considerable accessible tensile strain are introduced as the outer supporting components. After injecting the conductive CB-silicone composite into these tubes, the stretchable strain fibers are successfully prepared. Notably, the stretchable strain sensor exhibits linearity (R2 = 0.9854) in a wide sensing range (0–400%) and remarkable durability even after the 2500 cycles under 100% tension. Additionally, the potential of this stretchable strain fiber as the wearable strain sensor and the real-time feedback is demonstrated by detecting the body motion and the expansion devices.

Abstract Background There is still a lack of remarkable consensus regarding the clinical efficacy of the application of fibular strut augmentation (FSA) combined with a locking plate for proximal humeral fractures. A systematic review and meta-analysis to assess the effect of the use of FSAs in open reduction and internal fixation of proximal humeral fractures was conducted. Methods A literature search was conducted in PubMed, Embase, Cochrane, Web of Science Core Collection, and ClinicalTrials.gov to identify trials that compared the clinical outcomes of proximal humeral fractures treated using a locking plate with or without FSA. The primary outcome measures were postoperative complications, radiographical findings, functional recovery scores, and postoperative range of motion (ROM). Data were pooled and analysed using a random-effects model based on the Der Simonian and Laird method. Results Eight studies involving 596 participants were included for further analysis. Compared with using a locking plate independently, the additional application of FSA was associated with the likelihood of lower risk of overall complications (OR 0.37; 95% CI 0.22–0.65; I 2 = 12.22%; 95% PI 0.14–0.98) and the rate of patients with orthopaedic complications (OR 0.48; 95% CI 0.25–0.92; I 2 = 7.52%; 95% PI 0.16–1.45), less changes in postoperative humeral head height (MD − 2.40; 95% CI − 2.49 to − 2.31; I 2 = 0.00%; 95% PI − 2.61 to − 2.20) and the neck–shaft angle (MD − 6.30; 95% CI − 7.23 to − 5.36; I 2 = 79.32%; 95% PI − 10.06 to − 2.53), superior functional outcomes (Constant–Murley score: MD 5.07; 95% CI 3.40 to 6.74; I 2 = 0.00%; 95% PI 2.361–7.78; American Shoulder and Elbow Surgeons Score: MD 5.08; 95% CI 3.67 to 6.49; I 2 = 0.00%; 95% PI 1.98–8.18), and better postoperative ROM in terms of forward elevation and external rotation. However, the evidence regarding postoperative abduction was insufficient. Conclusion Meta-analytic pooling of current evidence showed a significant association between the application of FSAs and favourable clinical outcomes in terms of postoperative complications, radiographical findings, functional recovery, and postoperative elevation and external rotation.

BackgroundMobility restriction was one of the primary measures used to restrain the spread of COVID-19 globally. Governments implemented and relaxed various mobility restriction measures in the absence of evidence for almost 3 years, which caused severe adverse outcomes in terms of health, society, and economy. ObjectiveThis study aimed to quantify the impact of mobility reduction on COVID-19 transmission according to mobility distance, location, and demographic factors in order to identify hotspots of transmission and guide public health policies. MethodsLarge volumes of anonymized aggregated mobile phone position data between January 1 and February 24, 2020, were collected for 9 megacities in the Greater Bay Area, China. A generalized linear model (GLM) was established to test the association between mobility volume (number of trips) and COVID-19 transmission. Subgroup analysis was also performed for sex, age, travel location, and travel distance. Statistical interaction terms were included in a variety of models that express different relations between involved variables. ResultsThe GLM analysis demonstrated a significant association between the COVID-19 growth rate ratio (GR) and mobility volume. A stratification analysis revealed a higher effect of mobility volume on the COVID-19 GR among people aged 50-59 years (GR decrease of 13.17% per 10% reduction in mobility volume; P

BackgroundFusobacterium necrophorum is the main pathogen inducing bovine foot rot. The infected site is often accompanied by a strong inflammatory response, but the specific inflammatory regulatory mechanism remains unclear.AimA cow skin explants model was established to elucidate the mechanism of F. necrophorum bacillus causing foot rot in cows, and to provide reference for future clinical practice.MethodsCow intertoe skin explants were cultured in vitro, and F. necrophorum bacteria solution and nuclear factor-κB (NF-κB) inhibitor BAY 1-7082 were added to establish an in vitro infection model. Hematoxylin and eosin staining, terminal - deoxynucleotidyl transferase mediated nick end labeling, and immunohistochemistry were used to detect the pathological changes of the skin explants infected with F. necrophorum, the degree of tissue cell apoptosis, and the expression of the apoptosis-related protein Caspase-3, respectively. RT-qPCR, Western blot, and ELISA were used to detect the activation of the NF-κB pathway and inflammatory cytokines by F. necrophorum.ResultsThe intertoe skin structure of cows infected with F. necrophorum changed with different degrees of inflammation, and the degree of tissue cell apoptosis was significantly increased (P < 0.01). In addition, infection with F. necrophorum significantly increased the phosphorylation level of IκBα protein and up-regulated the expression level of NF-κB p65. The high expression and transcriptional activity of NF-κB p65 significantly increased the expression and concentration of the inflammatory cytokines TNF-α, IL-1β, and IL-8, thus inducing the occurrence of an inflammatory response. However, inhibition of NF-κB p65 activity significantly decreased the expression of inflammatory factors in the intertoe skin of cows infected with F. necrophorum.ConclusionF. necrophorum activates NF‐κB signaling pathway by increasing the expression of TNF‐α, IL‐1β, IL‐8 and other inflammatory factors, leading to foot rot in dairy cows.

Abstracts: Feed-water valves (FWVs) are used to regulate the flow rate of water entering steam generators, which are very important devices in nuclear power plants. Due to the working environment of relatively high pressure and temperature, there is strength failure problem of valve body in some cases. Based on the thermo-fluid-solid coupling model, the valve body stress of the feed-water valve in the opening process is investigated. The flow field characteristics inside the valve and temperature change of the valve body with time are studied. The stress analysis of the valve body is carried out considering mechanical stress and thermal stress comprehensively. The results show that the area with relatively high-velocity area moves gradually from the bottom of the cross section to the top of the cross section with the increase of the opening degree. The whole valve body reaches the same temperature of 250 °C at the time of 1894 s. The maximum stress of the valve body meets the design requirements by stress assessment. This work can be referred for the design of FWVs and other similar valves.

Biomass gasification technology is a clean and renewable energy utilization approach. Understanding the evolution of gasification product properties is crucial to achieving carbon neutrality goals. A fixed-bed reactor is employed for the biomass gasification with CO2 in this study. Various methodologies have been conducted to characterize the syngas, tar, and biochar produced from the electric gasification (EG) and microwave gasification (MG) of oak and corn stalk samples at different temperatures. When gasifying the same biomass at the same temperature, the syngas yield of MG is generally 3–7% higher than that of EG, and the difference increases with decreasing temperature. The biochar yield of MG is 3–6% higher than that of EG. EG produces more tar at 600–800 °C. The yield of syngas increases as the gasification temperature rises from 600 to 1000 °C, but that of tar and biochar falls. The syngas mainly comprises H2, CH4, CO, and CO2. MG produces 8–15% higher CO content and 2.5–3.5% higher H2 content than EG. This is due to different heating mechanisms. The net calorific value of syngas increases with temperature, reaching a maximum of 11.61 MJ m−3 at 1000 °C for syngas from corn stalk MG. When the temperature rises from 600 to 1000 °C, more primary tars are converted into polycyclic aromatic hydrocarbons (PAHs). At 900 °C, corn stalk biochar from MG has a maximum specific total pore volume (0.62 cm3 g−1), surface area (525.87 m2 g−1), and average pore diameter (4.18 nm). The intensities of the characteristic peaks of biochar functional groups decrease gradually. The heating method has little effect on the types of functional groups.

In this work, we design and numerically investigate a silica-cladded Germania-doped ring-core fiber (RCF) that supports orbital angular momentum (OAM) modes with all-normal dispersion. By optimizing the structure parameters of the designed RCF, an all-normal and flat dispersion with a total variation of 1,1 mode. A 1.3-octave supercontinuum spectrum of the OAM1,1 mode is generated numerically after launching a 40-fs 200-kW chirp-free hyperbolic secant pulse train centered at 1700 nm into a 2-cm long designed fiber with 50 mol% Ge-doped ring-core, covering 1290-nm bandwidth from 885 nm to 2175 nm at −40 dB power level. The coherence of the generated supercontinuum of the OAM1,1 mode depicts nearly perfect property over the whole spectral range. This design can serve as an efficient way to extend the spectral coverage of beams carrying OAM modes in various applications.

The flexibility of producing two dispersive waves (DWs) in silicon nitride (Si3N4) slot waveguide is demonstrated, by tailoring the slot features and the corresponding phase-matching condition. DWs are generated at visible and mid-infrared (mid-IR) wavelength regions, respectively. We obtain a broadband low normal dispersion region from 2 to $5.25~\mu \text{m}$ , which offers particular advantages for DW generation at mid-IR wavelength region. The long-wave dispersive wave (LWDW) can cover beyond $4~\mu \text{m}$ . This is the first time to illustrate the freedom of Si3N4 slot waveguide for DWs generation ever reported. A broadband spectrum can be extended from 0.5 to $4.5~\mu \text{m}$ at −30 dB level by launching a 1-kW 1550-nm hyperbolic secant input pump pulse to a 1-cm proposed waveguide. The newly formed spectrum has a high degree of coherence. This approach provides more flexibility for frequency conversion, and has the advantages for biophotonics, optical sensing, chip-integrated spectroscopy, health and environmental monitoring.

Abstract With the increasing popularity of smart wearable devices, flexible pressure sensors are highly desired in various complex application scenarios. A great challenge for existing flexible pressure sensors is to maintain high sensitivity over a wide temperature range, which is critical for their applications in harsh environments. Herein, a flexible piezoresistive sensor made of polyetherimide (PEI) fibrous network evenly covered with MXene nanosheets is reported to construct conductive pathways, showing ultrahigh sensitivity over a wide temperature range from −5 °C (sensitivity of 80 kPa−1) to 150 °C (20 kPa−1), low detection limit of 9 Pa, fast response time of 163 ms, outstanding durability over 10 000 cycles at room temperature, 2000 cycles at 100 °C and 500 cycles at −5 °C. The pressure sensor can monitor various human activities in real‐time, apply to human–machine interaction, and measure pressure distribution. It also can sensitively respond to external mechanical stimuli at 150 °C and extremely low temperature (in liquid nitrogen). Moreover, the fibrous network exhibits an excellent Joule heating performance, which can reach 78 °C at an applied voltage of 12 V. Thus, the piezoresistive sensor has considerable potential for wearable garments and personal heating applications in harsh temperature conditions.

In view of the large output of wind power during the load trough time, the peak regulation cost may increase sharply, and the traditional hourly dispatch may not be able to accurately track the load fluctuation due to the fluctuation of renewable energy. In this paper, based on different time granularities, an adaptive segmented double-layer economic scheduling model of the net load curve considering reasonable wind abandonment is constructed. The model can better cope with net load changes while reducing the load peak-to-valley difference. First, a reasonable wind abandonment model is established under different time granularities of 5 min, 15 min, 30 min, and 1 h; Then, based on the static thinking of the net load curve by time period, the load change in the hourly scale is fully considered without changing the total number of dispatching periods so that each dispatching period can adaptively select the duration according to the change of net load gradient, and a self-adaptive subsection model of the net load curve is established to minimize the total running cost. Finally, taking IEEE-30 nodes as the example system, the NSGA-II algorithm and CPLEX solver are used to solve the model. The results verify the economy and feasibility of the proposed model.

Communication strategy is one of the support of primary health care (PHC) that can address demand-side barriers and socio-cultural factors to promote better services. Conversely, communication strategies have not been a distinct emphasis of vaccination research in the country until now. Therefore, this study aimed to find the elements that influence the provision of vaccination communication in Pakistan. Twenty-two semi-structured interviews with key stakeholders in vaccine communication were conducted using qualitative methodologies (Jan 2022–March 2022). The interviews revolved around factors affecting the implementation of communication. Interviews were transcribed and analyzed using thematic analysis. By using the SURE framework, numerous factors that affect vaccination communication were identified under three major themes such as organizational-level, constitutional, and community-level factors. Five subthemes marked the organizational-level factors such as constrained budget, infrastructure deficits, inconsistent comprehensive strategy, health workforce, and inadequate training. Two subthemes are derived regarding constitutional and community-level factors, respectively, such as governance and leadership, health communication interventions not a policymaker's priority, community perceptions and practices, and formal partnership lacking between national and local stakeholders. Additionally, employment of established communication committees, improved money allocation, engagement of traditional and religious institutions, and political backing were identified as solutions for improvement. Communication activities are an important part of immunization programs in order to increase vaccination coverage. To be able to execute communication interventions more successfully, national and provincial stakeholders must work together to identify the elements that affect vaccine provision. Additional rigorous implementation studies could aid in the development of clearer knowledge of the system-wide constraints obstructing the program’s efficiency.

Cadmium (Cd), which is considered an endocrine disruptor, has been linked to the onset of breast cancer (BC). Our recent study demonstrated that Cd-induced BC progression has a strong correlation with miR-374c-5p dysregulation. The aim of our work was to investigate other potential miRNAs involved in Cd-induced BC cell proliferation and metastasis. In our study, the miRNA profiles of Cd-treated T-47D cells (10 μM, 72 h) were analyzed by miRNA-seq, and our results confirmed that miR-3614–5p was the top downregulated miRNA. Moreover, miR-3614–5p mimic transfection significantly decreased the proliferative ability, migration and invasive ability of BC cell lines (T-47D and MCF-7). Furthermore, we analyzed the overlapping genes from our RNA-seq data and predicted targets from the mirDIP database, and twelve genes (ALDH1A3, FBN1, GRIA3, NOS1, PLD5, PTGER4, RASGRF2, RELN, RNF150, SLC17A4, TG, and TXNRD1) were identified as potential binding targets of miR-3614–5p in the current model. Nonetheless, only miR-3614–5p inhibition caused an increase in TXNRD1 expression upon Cd exposure in T-47D and MCF-7 cell lines. Importantly, luciferase reporter assays further verified that miR-3614–5p suppressed the expression of TXNRD1 by directly binding to the 3′-untranslated region (UTR), and TXNRD1 inhibition significantly repressed the proliferation and metastasis capacity of BC cells upon Cd exposure. Together, our findings demonstrated that Cd exposure repressed the expression of miR-3614–5p, thus activating TXNRD1 expression, which promoted the abnormal proliferation and metastasis of BC cells.

The mutant efficiency and hatching ratio are two key factors that significantly affect the construction of genome-modified mutant insects. In the construction of CRISPR/Cas9-mediated dsLmRNase2–/– mutant locusts, we found that the tanned eggs which experienced a 20-min contact with the oocyst exhibited a higher success rate compared to fresh newly-laid eggs that were less tanned. However, the heritable efficiency of the dsLmRNase2 deletion to the next generation G1 progeny was similar between adults derived from the tanned or less tanned engineered eggs. Further, the similar effective mutant ratios in the normally developed eggs and G0 adults of tanned and less tanned eggs also indicated that tanning did not reduce the absolute mutation efficiency induced by CRISPR/Cas9. Moreover, we found that the syncytial division period, which was longer than the time for tanning, conferred a window period for microinjection treatment with efficient mutation in both tanned and less tanned eggs. We further found that tanned eggs exhibited a higher hatching rate due to a reduced infection rate following microinjection. Both the anti-pressure and ultrastructure analyses indicated that the tanned eggs contained compressed eggshells to withstand increased external pressure. In summary, tanned eggs possess stronger defense responses and higher efficiency of genome editing, providing an improved model for developing Cas9-mediated gene editing procedures in locusts.

Abstract Background Prediction of the drug-target interaction (DTI) is a critical step in the drug repurposing process, which can effectively reduce the following workload for experimental verification of potential drugs’ properties. In recent studies, many machine-learning-based methods have been proposed to discover unknown interactions between drugs and protein targets. A recent trend is to use graph-based machine learning, e.g., graph embedding to extract features from drug-target networks and then predict new drug-target interactions. However, most of the graph embedding methods are not specifically designed for DTI predictions; thus, it is difficult for these methods to fully utilize the heterogeneous information of drugs and targets (e.g., the respective vertex features of drugs and targets and path-based interactive features between drugs and targets). Results We propose a DTI prediction method DTI-HeNE (DTI based on Heterogeneous Network Embedding), which is specifically designed to cope with the bipartite DTI relations for generating high-quality embeddings of drug-target pairs. This method splits a heterogeneous DTI network into a bipartite DTI network, multiple drug homogeneous networks and target homogeneous networks, and extracts features from these sub-networks separately to better utilize the characteristics of bipartite DTI relations as well as the auxiliary similarity information related to drugs and targets. The features extracted from each sub-network are integrated using pathway information between these sub-networks to acquire new features, i.e., embedding vectors of drug-target pairs. Finally, these features are fed into a random forest (RF) model to predict novel DTIs. Conclusions Our experimental results show that, the proposed DTI network embedding method can learn higher-quality features of heterogeneous drug-target interaction networks for novel DTIs discovery.

PurposeTo develop a prediction model for estimating the expression of vascular endothelial growth factor receptor 2 (VEGFR2) in hepatocellular carcinoma (HCC) patients using clinical features and the contrast-enhanced MRI Liver Imaging Reporting and Data System (LI-RADS).MethodsA total of 206 HCC patients were subjected to preoperative contrast-enhanced MRI, radical resection, and VEGFR2 immunohistochemistry labeling. The intensity of VEGFR2 expression was used to split patients into either the positive group or the negative group. For continuous data, the Mann-Whitney U test was employed, and for categorical variables, the χ2 test was utilized.ResultsVEGFR2-positivity was identified in 41.7% (86/206) of the patients. VEGFR2-positive HCCs were confirmed by higher serum alpha-fetoprotein (AFP) levels, larger tumor dimensions (either on MRI or upon final pathology), and a higher LI-RADS score (all p < 0.001). LI-RADS scores and AFP levels were independent predictors for high VEGFR2 expression. These two parameters were used to establish a VEGFR2-positive risk nomogram, which was validated to possess both good discrimination and calibration. The area under the curve was 0.830 (sensitivity 83.6%, specificity 72.5%) and the mean absolute error was 0.021. The threshold probabilities ranged between 0.07 and 0.95, and usage of the model contributed net benefits.ConclusionA nomogram including clinical features and contrast-enhanced MRI parameters was developed and was demonstrably effective at predicting VEGFR2 expression in HCC patients.

Orbital angular momentum (OAM) beams, featured by the helical phase front and doughnut intensity profile, have been demonstrating great potential for various applications. Ring‐core optical fiber is also experimentally proven to be an effective waveguide for OAM mode. In general, managing the chromatic dispersion in the optical fiber is important for a wide range of applications. In this article, a highly dispersive germanium‐doped ring‐core fiber with dual selectable operating windows for OAM mode is proposed. The proposed fiber consists of three concentric high‐refractive‐index germanium‐doped rings with different mole fractions. The chromatic dispersion of the OAM1,1 mode in the ring fiber can be as low as −129 964 ps/(nm·km) at 1644.4 nm as the light launches into the fiber from the innermost ring and −270 017 ps/(nm·km) at 1651 nm as the light enters from the outermost ring. Furthermore, the effect of the geometrical and material parameters on chromatic dispersion for OAM1,1 mode is investigated. When the parameters of the innermost and outermost rings are varied separately, the corresponding operation windows are changed independently. An extremely negative dispersion for the OAM1,1 mode of −817 576 ps/(nm·km) can be achieved. This design can serve as a dispersive element in various OAM‐based optical fiber systems.

Using organic fertilizer and maize straw as friendly amendment measures is effective for altering soil nitrogen (N) cycling in farmlands. However, the synthetical effects of organic fertilizer combined with straw returning on soil quality remain unknown, especially in response to soil nitrification and denitrification microorganisms. We set up an experiment in brunisolic soil from Northeast China, mainly including four treatments: CK (no addition without traditional chemical fertilizer), O (organic fertilizer application), S (straw returning), and OS (organic fertilizer combined with straw returning). The soil nitrification and denitrification microorganisms were further investigated using high-throughput sequencing. Our results show that, compared to CK, the soil water content, field capacity, macroaggregates with a diameter > 0.25 mm, mean weight diameter, total carbon, total nitrogen, ammonium, nitrate, microbial biomass carbon, and microbial biomass nitrogen were significantly improved, and penetration resistance was reduced in a 0–20 cm soil layer under O, S, and OS treatments. Moreover, OS treatment effectively increased the available potassium and available phosphorus content and decreased the three-phase R-value. The application of organic fertilizer and straw effectively optimized the soil structure, especially the OS treatment. Compared to CK, O, S, and OS treatments had a higher abundance of ammonia-oxidizing archaea (AOA) and further enhanced the alpha diversity and lower abundance of ammonia-oxidizing bacteria (AOB) and nirK-, nirS-, and nosZ-type denitrifying microbes. AOA and nirK were the key drivers of the ammonia oxidation process and nitrite reduction process, respectively. Meanwhile, the application of organic fertilizer and straw regulated the relative abundance of Nitrososphaeria (AOA), Gammaproteobacteria (nirK and nirS), Alphaproteobacteria (nirK), and Betaproteobacteria (nirS) in the soil. Organic fertilizer and straw returning regulated the soil structure by enhancing the abundance of Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria in the nitrifying and denitrifying microorganism communities. Taken together, OS treatment was a suitable straw-returning practice for optimizing the nutrient balance of the farmland ecosystem in Northeast China. However, this study did not determine how to reduce traditional nitrogen fertilizer applications under organic fertilizer application and straw returning; therefore, we aim to carry out related research in future works.

Site class is a quantitative indicator used to evaluate site quality. It reflects site conditions, mainly climate, the suitability of soil for tree species and soil fertility. Despite the economic and ecological importance of tree competition and site class in sustainable forest management, there has been little research on its impact on the stump and coarse root biomass allocation within plantations. The stump and coarse roots were divided into five components ((stump disc (SD), stump knot (SK), coarse roots (>10 cm in diameter) (CR1), medium coarse roots (5–10 cm) (CR2) and fine coarse roots (2–5 cm) (CR3)), and the biomass of each component was obtained via the weighing method. It was found that the biomass of SD, CR1, CR2 and CR3 was mainly affected by competition (p ≤ 0.01). In the three site classes, the biomass of CR3 increased significantly with the increase in the competition index (CI) (p < 0.01); the biomass of CR1 decreased gradually. In site V, the biomass of SK, sapwood and heartwood increased significantly with the increase in CI. The results show that competition affects the allocation of stump and coarse root biomass mainly by changing the coarse root biomass. The development of stump knots is greatly influenced by site class. This study provides a reference for solving the competition mechanism underlying larch wood forest development, which will in turn promote more effective utilization of larch wood forests. This study also provides a scientific basis for accurately estimating the belowground biomass and carbon storage of artificial plantation forests.

Stumps and coarse roots form an important C pool and nutrient pool in a Larix olgensis (Larix olgensis Henry) plantation ecosystem, and their decomposition processes would affect nutrient cycling dynamics of the overall Larix olgensis plantation. We studied the decomposition and release of nutrients from stumps and coarse roots that were cleared 0, 6, 16, 26 and 33 years ago in Northeast China. The stumps and coarse roots were divided into stump discs (SD), stump knots (SK), coarse roots (>10 cm in diameter) (CR1), medium-coarse roots (5–10 cm in diameter) (CR2) and fine-coarse roots (2–5 cm in diameter) (CR3). During the entire 33-year study period, SK, CR1, CR2 and CR3 lost 87.37%, 96.24%, 75.76% and 91.98% of their initial mass, respectively. The average annual decomposition rate (k) was 0.068 for SD, 0.052 for SK, 0.092 for CR1, 0.068 for CR2 and 0.066 for CR3. After 33 years of decomposition, CR3 lost 5% of its initial C, CR2 lost 2%, and SK accumulated 1%, indicating slow C release. The N residues in SK, CR1, CR2 and CR3 were 186%, 109%, 158% and 170%, respectively. Coarse roots released P significantly faster than SD and SK, with 13% of the initial P released in CR1. SD and SK release cellulose, hemicellulose and lignin faster than coarse roots. The results show that Larix olgensis stumps and coarse roots could contribute to soil fertility recovery and serve as a long-term nutrient reservoir for forest vegetation.

This paper proposes a four-layer neural network based on randomly feature mapping (FRMFNN) and its fast incremental learning algorithms. First, FRMFNN transforms the original input features into randomly mapped features by certain randomly mapping algorithm and stores them in its nodes of first hidden layer. Then, the FRMFNN generates its nodes of second hidden layer using non-linear activation function on all random mapping features. Finally, the second hidden layer is linked to the output layer through the output weights. Since the weights of the first and the second hidden layers are randomly generated according to certain continuous sampling probability distribution, without the updates of the weights, and the output weights can be quickly solved by the ridge regression, avoiding time-consuming training process of the traditional back propagation neural networks. When FRMFNN can't reach the prescribed accuracy, its performance can be continuously improved by its rapid incremental algorithm, thereby avoiding retraining the whole network. This paper, a detail introduction of proposed FRMFNN and its incremental algorithms is provided. What's more, a proof of universal approximation property of FRMFNN is also given. Compared with broad learning system (BLS) and the incremental learning of extreme learning machine (ELM), the experimental results on several popular classification and regression datasets demonstrate the effectiveness of the proposed FRMFNN and its incremental learning algorithms.

In response to the coronavirus disease 2019 (COVID-19) pandemic, various countries have sought to control COVID-19 transmission by introducing non-pharmaceutical interventions. Restricting population mobility, by introducing social distancing, is one of the most widely used non-pharmaceutical interventions. Although similar population mobility restriction interventions were introduced, their impacts on COVID-19 transmission are often inconsistent across different regions and different time periods. These differences may provide critical information for tailoring COVID-19 control strategies. In this paper, anonymized high spatiotemporal resolution mobile-phone location data were employed to empirically analyze and quantify the impact of lockdowns on population mobility. Both the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in China and the San Francisco Bay Area (SBA) in the United States were studied. In response to the lockdowns, a general reduction in population mobility was observed, but the structural changes in mobility are very different between the two bays: 1) GBA mobility decreased by approximately 74.0–80.1% while the decrease of SBA was about 25.0–42.1%; 2) compared to SBA, the GBA had smoother volatility in daily volume during the lockdown. The volatility change indexes for GBA and SBA were 2.55% and 7.52%, respectively; 3) the effect of lockdown on short- to long-distance mobility was similar in GBA while the medium- and long-distance impact was more pronounced in SBA.

Introduction There is no consensus regarding the superiority between intramedullary nailing and primary arthroplasty in the management of intertrochanteric femoral fractures. This systematic review was performed to investigate and compare the clinical efficacy of intertrochanteric femoral fractures treated with these 2 methods. Materials and methods We systematically searched PubMed, Embase, Cochrane, Web of science core collection and ClinicalTrials.gov for randomized controlled trials which compared the clinical outcomes of intertrochanteric fractures treated with either intramedullary nails or primary arthroplasty. Relevant data of the postoperative complications, reoperations, mortality and functional assessment, were pooled and presented graphically. Results A total of 6 trials with 427 participants were identified and included in the analyses. The pooled estimates suggested these 2 techniques have comparable risks in terms of overall complications (pooled risk ratio [RR] .80; 95% confidence interval [CI] .43 to 1.43; I 2 = 79.94%), the rate of patients with orthopedic complications (RR .71, 95% CI .40 to 1.27; I 2 = .00%), reoperations (RR 1.33, 95% CI .48 to 3.71; I 2 = .00%), the overall mortality (RR .52; 95%CI .26 to 1.02; I 2 = 31.35%) and 1-year mortality (RR .67; 95%CI .38 to 1.19; I 2 = .00%). Primary arthroplasty associated with higher HHS at 3 months postoperatively (MD -21.95, 95% CI -28.29 to −15.60; I 2 = 70.44%). While the difference was not significant at 6 months (MD 2.32, 95% CI -1.55 to 6.18; I 2 = .00%), and even reversed at 12 months postoperatively (MD 13.02, 95% CI 8.14 to 17.90; I 2 = 73.42%). Conclusions Meta-analytic pooling of current evidences demonstrated that primary arthroplasty is related to a better early functional recovery at the early stage postoperatively, but the long-term result tends to favor to intramedullary nailing. The differences in overall complications, the rate of patients with orthopedic complications, reoperations, overall and 1-year mortality did not reach a significant level.

Fluoride has received much attention for its predominant bone toxicity in the human body. However, the toxic mechanism of bone injury caused by fluoride exposure remains largely unclear. Bone marrow mesenchymal stem cells (BMSCs) are widely used as model cells for evaluating bone toxicity after environmental toxicant exposure. In this study, BMSCs were exposed to fluoride at 1, 2, and 4 mM for 24 h, and fluoride significantly inhibited cell viability at 2 and 4 mM. A multiomics analysis combining transcriptomics with metabolomics was employed to detect alterations in genes and metabolites in BMSCs treated with 2 mM fluoride. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of transcriptomics profiles identified “lysosomes” as the top enriched pathway, which was severely damaged by fluoride exposure. Lysosomal damage was indicated by decreases in the expression of lysosomal associated membrane protein 2 (LAMP 2) and cathepsin B (CTSB) as well as an increase in pH. Upregulation of the lysosome-related genes Atp6v0b and Gla was observed, which may be attributed to a compensatory lysosomal biogenesis transcriptional response. Interestingly, inhibition of glutathione metabolism was observed in fluoride-treated BMSCs at the metabolomic level. Moreover, an integrative analysis between altered genes, metabolites and lysosome signaling pathways was conducted. Palmitic acid, prostaglandin C2, and prostaglandin B2 metabolites were positively associated with Atp6v0b, a lysosome-related gene. Overall, our results provide novel insights into the mechanism responsible for fluoride-induced bone toxicity.