Background The quality of occupational health technical services is directly linked to the protection of workers' health rights and the efficacy of occupational disease prevention and control. However, the industry still faces critical challenges: sporadic instances of institutional non-compliance and persistent irregularities in professional practice continue to undermine overall service performance. Objective To assess the current quality status of occupational health technical services in Zhejiang Province and propose countermeasures for quality improvement, providing a scientific basis for policy optimization and service delivery quality enhancement. Methods A total of 69 occupational health technical service institutions in Zhejiang Province that obtained formal accreditation as of April 30, 2024, were sampled, including 3 public institutions and 66 private institutions (comprising 3 formerly Class-A, 28 formerly Class-B, 11 formerly Class-C, and 24 newly certified institutions). Following the Technical Protocol for Quality Monitoring of Occupational Health Technical Service in Zhejiang Province and the Technical Protocol for Proficiency Testing of Occupational Health Detection in Zhejiang Province, a quality assessment task force comprising national and provincial experts was established. Evaluation was conducted across four dimensions: qualification maintenance and compliance, standardization of technical services, authenticity of technical services, and proficiency testing, utilizing a combination of document review, on-site inspections, and technical skill assessments. Results The occupational health technical service institutions in Zhejiang Province were predominantly private entities (82.5%), with significant disparities in overall service quality. The pass rates for qualification maintenance and compliance, technical service standardization, technical service authenticity, and the excellence rate for laboratory proficiency testing were 81.5%, 80.7%, 97.3%, and 90.4%, respectively. Regarding qualification maintenance, the pass rates for "environmental conditions" (49.8%, 56.7%) and "instrumentation and equipment" (58.2%、65.6%) were significantly lower for formerly Class-C and newly certified institutions compared to other categories. In terms of technical standardization, "standardized on-site inspections" recorded the lowest pass rate (67.4%), with newly certified institutions at only 48.0%. Regarding technical service authenticity, formerly Class-C institutions exhibited issues such as missing raw chromatograms for blank samples (85.7% pass rate). In laboratory proficiency testing, public and formerly Class-A institutions achieved 100% excellence rates, but the performance of formerly Class-C and newly certified institutions was comparatively weak; specifically, the failure rate for organic analysis in formerly Class-C institutions reached 20%; the failure rate for dust testing items in newly certified institutions was 10.3%. Conclusion The overall quality of occupational health technical services in Zhejiang Province still requires significant improvement, particularly in basic institutional conditions, the standardization of on-site inspections, and laboratory proficiency in organic and dust analysis. Formerly Class-C and newly certified institutions should be the primary focus of quality management efforts. Differentiated regulatory strategies are recommended, alongside strengthening interim and ex-post supervision to gradually enhance the quality of occupational health technical services across all institutions.

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Mitochondrial dynamics refer to two modes of move-ment:mitochondrial fission and mitochondrial fusion.Stimula-tion from internal and external sources promotes the occurrence of mitochondrial dynamic changes,supporting cellular functional changes to adapt to physiological and pathological changes.This article systematically reviews relevant literature,providing an o-verview of the dynamic changes in mitochondrial fission/fusion from both physiological and pathological perspectives.It summa-rizes the essence of these changes by highlighting functional al-terations,including ion homeostasis,redox balance,energy me-tabolism,and programmed death signaling,and reveals the un-derlying mechanisms of action.Additionally,by focusing on key cellular components in allergic diseases,it discusses the impact of functional alterations in mitochondrial dynamic division/fusion on allergic diseases.Progressively examining the concept,func-tional alterations,and impact on allergic diseases,this study es-tablishes a connection between mitochondrial fission/fusion dy-namics and key cellular components of allergic diseases.It con-structs a networked map that outlines how these dynamics modu-late the progression of allergic diseases through diverse cellular components,aiming to guide mechanistic studies and systematic treatments for these diseases.

Mitochondrial dynamics refer to two modes of move-ment:mitochondrial fission and mitochondrial fusion.Stimula-tion from internal and external sources promotes the occurrence of mitochondrial dynamic changes,supporting cellular functional changes to adapt to physiological and pathological changes.This article systematically reviews relevant literature,providing an o-verview of the dynamic changes in mitochondrial fission/fusion from both physiological and pathological perspectives.It summa-rizes the essence of these changes by highlighting functional al-terations,including ion homeostasis,redox balance,energy me-tabolism,and programmed death signaling,and reveals the un-derlying mechanisms of action.Additionally,by focusing on key cellular components in allergic diseases,it discusses the impact of functional alterations in mitochondrial dynamic division/fusion on allergic diseases.Progressively examining the concept,func-tional alterations,and impact on allergic diseases,this study es-tablishes a connection between mitochondrial fission/fusion dy-namics and key cellular components of allergic diseases.It con-structs a networked map that outlines how these dynamics modu-late the progression of allergic diseases through diverse cellular components,aiming to guide mechanistic studies and systematic treatments for these diseases.

Objective:To understand the etiological surveillance and drug resistance characteristics of Legionella pneumophila (LP) from the aqueous environment of public places in Shanghai, from 2011 to 2020, and provide evidence for surveillance of the disease. Methods:Environmental water samples were systematically collected from public venues in urban and suburban districts of Shanghai for LP surveillance. All the identified LP isolates underwent a series of testings including serotyping, pulsed field gel electrophoresis (PFGE), sequence-based typing, and antimicrobial susceptibility testing. χ2 test or Cochran-Armitage trend tests were used for statistical analysis and for temporal resistance patterns. Results:Among 6 263 water samples, the LP-positive rate was 20.93% (1 311/6 263). The positivity rate decreased from 24.98% (287/1 149) in 2011-2012 to 20.02% (1 024/5 114) in 2013-2020 ( χ2=13.92, P<0.001), with the highest monthly positivity observed from June to August (23.79%, 745/3 132). A total of 1 365 LP strains were isolated, of which 912 were further characterized, including 10 serotypes, 149 PFGE patterns, and 33 sequence types (ST). The predominant serotype was Lp1 (86.84%, 792/912), and the dominant ST was ST752 (29.50%, 269/912). ST clustering revealed two major clonal groups CG1 and CG2, accounting for 91.12% (831/912) of the isolates. The 190 LPs involved in the drug sensitivity test showed three resistance profiles: azithromycin resistance (31.05%, 59/190), ciprofloxacin resistance (0.53%, 1/190) and azithromycin+ciprofloxacin resistance (0.53%, 1/190). Azithromycin-resistant strains were predominantly ST1 (64.41%, 38/59). The antimicrobial resistance rate showed a significant decline, from 48.65% (18/37) in 2011-2012 to 28.10% (43/153) in 2013-2020 ( χ2=9.38, P=0.002). Conclusions:Compared to from 2011 to 2012, both the positivity rate and antimicrobial resistance prevalence of LP in public aqueous environments of Shanghai exhibited an overall decline from 2013 to 2020. The predominant types of LP were serotype Lp1 and sequence type ST752, with notable high-level resistance to azithromycin. Measures as enhancing the enforcement of water safety regulations and prioritizing surveillance of azithromycin resistance in LP were recommended to mitigate public health risks.

To analyze the standard establishment approach and compilation rationale for metallic pharmaceutical packaging standard development in the 2025 edition of the Pharmacopeia of the People's Republic of China.This article systematically explained the background and process of establishing the guiding principles for metallic materials and containers used in pharmaceutical packaging in the Chinese Pharmacopoeia through basic information,relevant domestic and international standards,the establishment of key quality attributes of metallic pharmaceutical packaging materials,and the construction of metallic pharmaceutical packaging material standards.The newly established guidelines,the Pharmacopeia of the People's Republic of China 9625,prioritized product critical quality attributes(CQAs)and real-world applicability.This dual emphasis on rigidity and adaptability enhances drug safety,meets the regulatory requirements,and promotes the globalization and scientific advancement of China's pharmaceutical packaging industry.

Objective:To evaluate the efficacy of remimazolam-based anesthesia in daytime laparoscopic cholecystectomy.Methods:In this multicenter, non-inferiority, randomized controlled trial, 300 American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ patients of either sex, aged 18-60 yr, with body mass index of 18-28 kg/m 2, who underwent daytime laparoscopic cholecystectomy under general anesthesia with tracheal intubation at Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, the Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou First People′s Hospital Affiliated to Westlake University School of Medicine, Ningbo No. 2 Hospital, and the Second Affiliated Hospital of Nanchang University from August 2021 to August 2023, were selected and divided into 2 groups ( n=150 each) using a random number table method: remimazolam group (R group) and propofol group (P group). Anesthesia was induced as follows: Sufentanil was intravenously injected at a rate of 0.5 μg/kg, remimazolam was intravenously injected at a rate of 0.3 mg/kg in group R, propofol was intravenously injected at a rate of 2.0-2.5 mg/kg in group P, and cisatracurium besilate was intravenously injected at a rate of 0.2 mg/kg after loss of consciousness in two groups. The patients were mechanically ventilated after tracheal intubation. Anesthesia was maintained as follows: Remimazolam was intravenously injected at a rate of 0.5-1.0 mg·kg -1·h -1 in group R, propofol was intravenously injected at a rate of 4-10 mg·kg -1·h -1 in group P, and remifentanil was intravenously infused at a rate of 0.25-2.00 μg·kg -1·min -1, maintaining intraoperative bispectral index value of 40-60. The success rate of sedation was recorded, and non-inferiority tests were conducted. The time to loss of consciousness, emergence time, extubation time, recovery time of orientation, time of stay in post-anesthesia care unit and occurrence of delayed emergence were recorded. Liver function and renal function were measured before operation and within 24 h after operation. The occurrence of abnormal alanine transaminase, abnormal aspartate transaminase, abnormal creatinine and abnormal urea was recorded. The occurrence of adverse reactions during and after operation was recorded. Results:The success rates of sedation were 98.6% and 99.3% in group R and group P, respectively, there was no statistically significant difference in the success rate of sedation between the two groups ( P>0.05), and the difference in the success rates of sedation between the two groups was -0.007 (95% confidence interval-0.0301-0.0161), which met the pre-set non-inferiority criteria(95% confidence interval >-0.055). Compared with group P, the time to loss of consciousness and recovery time of orientation were significantly prolonged, and the incidence of delayed emergence was increased ( P<0.05), and no statistically significant changes were found in the emergence time, extubation time, time of stay in post-anesthesia care unit and severity of postoperative nausea and vomiting in group R ( P>0.05). There was no statistically significant difference in the abnormal rates of alanine transaminase, aspartate transaminase, creatinine and urea before and after operation between the two groups ( P>0.05). Conclusions:The efficacy of remimazolam-based anesthesia in daytime laparoscopic cholecystectomy is not inferior to that of propofol-based anesthesia.

Traditional mass measurement methods are not applicable in microgravity environments,and the main challenge for in-orbit body mass measurement technology based on inertial principles is to address the random errors brought about by the weightless environment.These include additional torques due to shifts in the center of mass,nonlinear accelerations due to non-rigid human bodies,mechanical energy consumption due to organ vibrations,and random vibrations of the measurement device itself.To address the above difficulties,the project proposes a technical scheme based on the principle of linear acceleration,designs and constructs a ground-specific air-floating experimental and simulation platform,studies key data such as motion trajectory,acceleration change,and vibration frequency amplitude during the mass measurement process,and simulates the changes in the center of mass and random vibrations of the human body in a weightless environment.The project has designed an adjustable posture bracket to adapt to changes in the center of mass,enhance body restraint,and greatly reduce shaking;it has also developed an integrated four-bar linkage motion guidance mechanism,high-precision integrated photoelectric distance measurement,and modular motion constant force measurement device to ensure the accurate measurement of acceleration and constant force data.The product has undergone simulation calculations,ground human applicability tests,and in-orbit applicability verification in the space station.Ground test results show that the device achieves a body mass measurement accuracy better than 0.5%,and the dispersion is better than 0.38%;after flight mission verification and evaluation,the in-orbit body mass measurement dispersion is less than 0.4%,which is superior to the SLAMMD,a mass measurement device of the same principle on the International Space Station,and is at the forefront internationally,achieving accurate body mass measurement.