A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing

Cloud types, as a type of meteorological data, are of particular significance for evaluating changes in rainfall, heatwaves, water resources, floods and droughts, food security and vegetation cover, as well as land use. In order to effectively utilize high-resolution geostationary observations, a knowledge-based data-driven (KBDD) framework for all-day identification of cloud types based on spectral information from Himawari-8/9 satellite sensors is designed. And a novel, simple and efficient network, named CldNet, is proposed. Compared with widely used semantic segmentation networks, including SegNet, PSPNet, DeepLabV3+, UNet, and ResUnet, our proposed model CldNet with an accuracy of 80.89+-2.18% is state-of-the-art in identifying cloud types and has increased by 32%, 46%, 22%, 2%, and 39%, respectively. With the assistance of auxiliary information (e.g., satellite zenith/azimuth angle, solar zenith/azimuth angle), the accuracy of CldNet-W using visible and near-infrared bands and CldNet-O not using visible and near-infrared bands on the test dataset is 82.23+-2.14% and 73.21+-2.02%, respectively. Meanwhile, the total parameters of CldNet are only 0.46M, making it easy for edge deployment. More importantly, the trained CldNet without any fine-tuning can predict cloud types with higher spatial resolution using satellite spectral data with spatial resolution 0.02{\deg}*0.02{\deg}, which indicates that CldNet possesses a strong generalization ability. In aggregate, the KBDD framework using CldNet is a highly effective cloud-type identification system capable of providing a high-fidelity, all-day, spatiotemporal cloud-type database for many climate assessment fields

T cell senescence: a new perspective on immunotherapy in lung cancer

T cell senescence is an indication of T cell dysfunction. The ability of senescent T cells to respond to cognate antigens is reduced and they are in the late stage of differentiation and proliferation; therefore, they cannot recognize and eliminate tumor cells in a timely and effective manner, leading to the formation of the suppressive tumor microenvironment. Establishing methods to reverse T cell senescence is particularly important for immunotherapy. Aging exacerbates profound changes in the immune system, leading to increased susceptibility to chronic, infectious, and autoimmune diseases. Patients with malignant lung tumors have impaired immune function with a high risk of recurrence, metastasis, and mortality. Immunotherapy based on PD-1, PD-L1, CTLA-4, and other immune checkpoints is promising for treating lung malignancies. However, T cell senescence can lead to low efficacy or unsuccessful treatment results in some immunotherapies. Efficiently blocking and reversing T cell senescence is a key goal of the enhancement of tumor immunotherapy. This study discusses the characteristics, mechanism, and expression of T cell senescence in malignant lung tumors and the treatment strategies

Proteomic-based stratification of intermediate-risk prostate cancer patients

Gleason grading is an important prognostic indicator for prostate adenocarcinoma and is crucial for patient treatment decisions. However, intermediate-risk patients diagnosed in the Gleason grade group (GG) 2 and GG3 can harbour either aggressive or non-aggressive disease, resulting in under- or overtreatment of a significant number of patients. Here, we performed proteomic, differential expression, machine learning, and survival analyses for 1,348 matched tumour and benign sample runs from 278 patients. Three proteins (F5, TMEM126B, and EARS2) were identified as candidate biomarkers in patients with biochemical recurrence. Multivariate Cox regression yielded 18 proteins, from which a risk score was constructed to dichotomize prostate cancer patients into low- and high-risk groups. This 18-protein signature is prognostic for the risk of biochemical recurrence and completely independent of the intermediate GG. Our results suggest that markers generated by computational proteomic profiling have the potential for clinical applications including integration into prostate cancer management

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

The role of protein concentration in heat‐induced particulation of soy proteins at different pHs: Structure and functional properties

Abstract Protein particulation is a modification strategy for the optimization of the use of protein materials. The development and subtypes of particulate structures are largely dependent on the aggregated state of proteins after heat‐induced interactions, which is profoundly influenced by protein concentration (PC). In this work, the impact of PC below and above the critical gelation point, that is, 5% (w/v) and 10% (w/v), on the structure and functional properties of heat‐treated soy protein isolates (SPIs) at different pHs (2.0, 4.0, and 7.0), was investigated. The results showed that heat‐induced aggregation of SPIs was promoted by increasing the PC, leading to a β‐sheet‐dominated secondary structure. At pH 2.0 and 7.0, the 10% SPIs exhibited larger particle size and lower solubility, surface hydrophobicity index, and oil‐holding capacity compared to the 5% SPIs after heating. Furthermore, at neutral pH, the 10% SPI microgels had higher storage modulus (G′) and loss modulus (G″) than their acidifying counterparts, as well as the excellent emulsifying property for oil droplet stabilization. These findings would provide the theoretical basis for the structure modification and function improvement of plant proteins and, therefore, broaden the application of plant proteins in the food industry

Employee education, labor protection intensity and auditor risk perception.

Prior literature finds senior executives can influence auditor decision making. However, few studies have discussed the impact of employee's personal characteristics. Our research aims to fill the above research gaps by examining the impact of employee level education on audit costs. Taking A-share listed companies in Shanghai and Shenzhen from 2006 to 2021 as the research object, this paper examines the impact of employee education on audit fees. It is found that highly educated employees can effectively reduce the audit fees borne by the company, but the implementation of the Labor Protection Law weakens this inhibitory effect. In the case of low marketization level and weak Confucian culture intensity, employee education level has a more significant inhibitory effect on audit fees of listed companies. This study provides a basis for empirical research on the impact of employee attributes on auditor decision making, provides a new research perspective on the impact of labor protection law at the corporate micro level, and enriches the theoretical research on corporate governance rooted in traditional Chinese culture. We contribute to the practice that implications for evaluating the effectiveness of adopting labor protection

The roles of decoding and vocabulary in Chinese reading development: Evidence from a 3‐year longitudinal study

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/166397/1/bjep12365.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/166397/2/bjep12365_am.pd

The roles of decoding and vocabulary in Chinese reading development: Evidence from a 3‐year longitudinal study

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/166397/1/bjep12365.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/166397/2/bjep12365_am.pd

The relationship between harsh parenting and adolescent depression

Abstract Guided by Beck’s cognitive model of depression, this study comprehensively explores the mechanisms linking harsh parenting, rumination, and victimization to the development of adolescent depression. A total of 5047 adolescents were assessed using the Harsh Parenting Scale, Rumination Scale, Olweus Bullying/Victimization Questionnaire, and Beck Depression Inventory. The results indicated that harsh parenting positively influences adolescent depression. Moreover, rumination emerged as an important mediator between harsh parenting and adolescent depression, similar to victimization. Additionally, we found that both rumination and victimization act as chain mediators in the relationship between harsh parenting and adolescent depression. These findings demonstrate that harsh parenting impacts adolescent depression mediated by rumination and victimization. By shedding light on these mechanisms, this study improves our comprehension of how harsh parenting influences adolescent depression and offers valuable insights for designing interventions to alleviate depression in this population