ABSTRACT
This paper explores whether it is feasible to use the RGB color information in images of wheat canopies that were exposed to low temperatures during the growth season to achieve fast, non-destructive, and accurate determination of the severity of any freeze injury it may have incurred. For the study presented in this paper, we compared the accuracy of a number of algorithmic classification models using either meteorological data reported by weather services or the color gradation skewness-distribution from high-definition digital canopy images acquired in situ as inputs against a reference obtained by manually assessing the severity of the freeze injury inflicted upon wheat populations at three experimental stations in Shandong, China. The algorithms we used to construct the models included in our study were based on either K-means clustering, systematic clustering, or naïve Bayesian classification. When analyzing the reliability of our models, we found that, at more than 85%, the accuracy of the Bayesian model, which used the color information as inputs and involved the use of prior data in the form of the reference data we had obtained through manual classification, was significantly higher than that of the models based on systematic or the K-means clustering, which did not involve the use of prior data. It was interesting to note that the determination accuracy of algorithms using meteorological factors as inputs was significantly lower than that of those using color information. We also noted that the determination accuracy of the Bayesian model had some potential for optimization, which prompted us to subject the inputs of the model to a factor analysis in order to identify the key independent leaf color distribution parameters characterizing wheat freeze injury severity. This optimization allowed us to improve the determination accuracy of the model to over 90%, even in environments comprising several different ecological zones, as was the case at one of our experimental sites. In conclusion, our naïve Bayesian classification algorithm, which uses six key color gradation skewness-distribution parameters as inputs and involves the use of prior data in the form of manual assessments, qualifies as a contender for the development of commercial-grade wheat freeze injury severity monitoring systems supporting post-freeze management measures aimed at ensuring food security.
Subject(s)
Algorithms , Bayes Theorem , Color , Triticum , Freezing , Plant Leaves , China , Image Processing, Computer-Assisted/methodsABSTRACT
The monofloral honey from Schefflera octophylla (Lour.) Harms (MH-Sco) are of high economic value due to their rarity and potential medicinal benefits. However, the limited investigations on the relationship of phytogenic components between the plant S. octophylla (P-Sco) and MH-Sco have an impact on MH-Sco authentication. Herein, the tentative phytogenic markers of MH-Sco were screened by comparing the metabolites of MH-Sco obtained by ultrahigh-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UHPLC-Q-TOF-MS/MS)-based untargeted metabolomics with the identified phytogenic chemicals from P-Sco. Combined with the mass and NMR spectral information, 3α-hydroxylup-20(29)-ene-23,28-dioic acid (HLEDA) was finally identified as the phytogenic marker of MH-Sco. A targeted ultrahigh-performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QqQ-MS/MS)-based method was established and validated based on the purified monomer standard to measure HLEDA levels in honey samples. HLEDA determined in MH-Sco was with the content from 0.303 to 0.440 mg/kg, while HLEDA was absent in honey samples from other botanical origins, indicating the reliability of HLEDA as a chemical marker in MH-Sco authentication. This study provides the theoretical basis and industry guidance for honey quality control for commercial consumption.
ABSTRACT
Electrocatalytic water oxidation is a key transformation in many strategies designed to harness solar energy and store it as chemical fuels. Understanding the mechanism(s) of the best electrocatalysts for water oxidation has been a fundamental chemical challenge for decades. Here, we quantitate evolved dioxygen isotopologue composition via gas-phase EPR spectroscopy to elucidate the mechanisms of water oxidation on metal oxide electrocatalysts with high precision. Isotope fractionation is paired with computational and kinetic modeling, showing that this technique is sensitive enough to differentiate O-O bond-forming steps. Strong agreement between experiment and theory indicates that for the nickel-iron layered double hydroxideâone of the best earth-abundant electrocatalysts to be studiedâwater oxidation proceeds via a dioxo coupling mechanism to form a side-bound peroxide rather than a hydroxide attack to form an end-bound peroxide.
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Characterizing the tumor microenvironment at the molecular level is essential for understanding the mechanisms of tumorigenesis and evolution. However, the specificity of the blood proteome in localized region of the tumor and its linkages with other systems is difficult to investigate. Here, we propose a spatially multidimensional comparative proteomics strategy using glioma as an example. The blood proteome signature of tumor microenvironment was specifically identified by in situ collection of arterial and venous blood from the glioma region of the brain for comparison with peripheral blood. Also, by integrating with different dimensions of tissue and peripheral blood proteomics, the information on the genesis, migration, and exchange of glioma-associated proteins was revealed, which provided a powerful method for tumor mechanism research and biomarker discovery. The study recruited multidimensional clinical cohorts, allowing the proteomic results to corroborate each other, reliably revealing biological processes specific to gliomas, and identifying highly accurate biomarkers.
Subject(s)
Brain Neoplasms , Glioma , Humans , Proteomics/methods , Brain Neoplasms/pathology , Proteome/metabolism , Glioma/pathology , Biomarkers , Tumor MicroenvironmentABSTRACT
OBJECTIVE: Parkinson's disease (PD) is a profoundly incapacitating neurodegenerative disorder, which presents a substantial challenge to the economic sustainability of the global healthcare system. The present study seeks to clarify the factors that contribute to the costs associated with PD hospitalization and analyze the economic burden it imposes. METHODS: We examined data of 19,719 patients with a primary diagnosis of PD who were admitted to hospitals in Hubei Province, China, during the study period. Healthcare data were obtained from the database of electronic medical records. The study presents a comprehensive analysis of the demographic characteristics and investigates the factors that affect their healthcare expenditure. RESULTS: The cohort consisted of 10,442 (53.0%) males and 9,277 (47.0%) females. The age-group of 66-70 years experienced the highest incidence of hospitalization among PD patients, with a mortality rate of 0.76. The average length of stay for patients was 9.9 ± 8.6 days and the average cost per patient was USD 1,759.9 ± 4,787.7. Surgical interventions were conducted on a mere 2.0% of the total inpatient population. The primary cost component for these interventions was material expenses, accounting for 70.1% of the total. Non-surgical patients primarily incurred expenses related to diagnosis and medication. Notably, surgical patients faced a substantial out-of-pocket rate, reaching up to 90.6%. Surgery was identified as the most influential factor that negatively affected both length of stay and hospitalization costs. Inpatients exhibited significant associations with prolonged length of stay and increased medical expenditure as age increased. Male patients had significantly longer hospital stays and higher medical costs than did females. Additionally, patient's occupation and type of medical insurance exerted significant effects on both length of stay and medical expense. CONCLUSION: Age significantly affects PD hospitalization costs. Given the prevailing demographic shift toward an aging population, the government's medical insurance burden related to PD will continue to escalate. Meanwhile, high treatment expenses and out-of-pocket rates impose substantial financial burdens on patients, limiting surgical intervention access to a small fraction of patients. Addressing these issues is of utmost importance in order to ensure comprehensive disease management for the majority of individuals affected by PD.
Subject(s)
Hospitalization , Parkinson Disease , Humans , Male , Female , Parkinson Disease/economics , Parkinson Disease/therapy , Parkinson Disease/epidemiology , Aged , Hospitalization/economics , Hospitalization/statistics & numerical data , Middle Aged , China/epidemiology , Aged, 80 and over , Adult , Length of Stay/economics , Length of Stay/statistics & numerical data , Health Care Costs/statistics & numerical data , Cost of Illness , Inpatients/statistics & numerical data , Health Expenditures/statistics & numerical dataABSTRACT
Objective: We designed a novel intraoperative malleable adjustable continuous suction tube to obtain clear surgical fields, reduce intracranial pressure, and lower the temperature of the surgical area. Methods: This device consists of six parts: continuous suction tube head and cotton patty, suction tube, fixed wire position, fixed clip, spiral plastic pressure regulating valve, and tail. It can continuously extract blood, cerebrospinal fluid, and rinsing solution from surgical fields, with minimal contact and trauma to tissues, nerves, and blood vessels, while also having a negligible impact on the surgeon's focus and procedure. Result: The excellent and safe performance (simple, malleable, adjustable, space-saving, inexpensive, safe, and effective) of this device in clearing the operating field has been proven in more than 2000 neurosurgical operative procedures. We encountered no complications associated with this device, such as cerebral hematoma, postoperative low intracranial pressure, or vascular and nerve injuries. Conclusion: The newly innovated intraoperative malleable adjustable continuous suction tube is effective and safe for microneurosurgery.
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Objective: To evaluate the effectiveness of combined resection and radiotherapy (CRAR) for the treatment of primary pineal malignant melanoma (PPMM). Methods: Relevant studies were identified through a literature search in PubMed, Embase, and Web of Science from 1899 to September 1, 2023. Then we further screened the literature according to the updated PRISMA 2020 guidelines. The article information, patient information, treatment, and survival rate were analyzed. The primary outcome measures the survival rate of CRAR compared with the overall patients and the patients without treatment. Secondary outcome measures operation methods, radiotherapy methods, and dose. Results: In total, 28 published articles were recorded. Among them, 35.71% (10/28) articles were on CRAR. The median overall survival, CRAR, and no treatment survival were 65, 88, and 12 weeks, respectively. The median overall survival of CRAR was demonstrably better than that of no treatment (p < 0.0001) and overall survival, even with p = 0.1177. Most of the operations adopted a supracerebellar infratentorial approach, and stereotactic radiation to tumor bed usually ranged between 50 and 60 Gy. Small dose and multiple fractions was the most popular radiotherapy method. Conclusion: Currently, CRAR, compared with other treatments, is more beneficial to prolonging the survival of PPMM patients. However, many more clinical cases are needed to verify it as the best treatment approach.
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@#Abstract: Objective To master the condition of cockroach population distribution, seasonal dynamics, cockroach density for different habitat, and to provide a basis for developing cockroach control strategies. Methods Six types of surveillance sites, including residential areas, hotels, restaurants, supermarkets, hospitals and farm product markets, were set up in 14 cities in Liaoning to monitor cockroaches using the sticky-trap method. The cockroach surveillance data from vector surveillance sites in fourteen cities of Liaoning Province in 2021 were collected and statistically analyzed using Excel 2010 and SPSS 23.0 software. The density and species composition of cockroaches were analyzed, and the density difference and seasonal dynamics trend of cockroaches in different habitats were compared. Results A total of 3 031 cockroaches were captured in 2021, of which Blattella germanica accounted for 94.66% (2 869/3 031) and was the dominant population. The total density of cockroaches was 0.230 0 cockroaches per sheet (3 031/13 234) and the total infestation rate of cockroaches was 5.59% (562/10 052). The density and infestation rate of cockroaches in different habitats were in the order of farm product markets, restaurants, and hotels and the difference in infestation rate between habitats was statistically significant (χ2=168.327, P<0.05). The seasonal dynamics trend of cockroach density and disoperation rate showed a unimodal curve, and the peaks were distributed in July. The seasonal dynamics of cockroach density and disoperation rate in different habitats showed a unimodal curve in the habitats of farm product markets, supermarkets, hotels, hospitals and residential areas all, while the habitats of restaurants were close to a double peak curve. Conclusions B. germanica is the dominant species of cockroaches in Liaoning Province in 2021. Compared with 2020 the density and disoperation rate of cockroach in 2021 showed a slight downward trend, and the seasonal dynamics trend of cockroach density and disoperation rate showed a unimodal curve. The farm product markets are the key places for cockroach prevention and control. According to the seasonal fluctuation trends in cockroach density and infestation rate in different habitats, comprehensive prevention and control measures should be taken before the peak periods to reduce cockroach density and control diseases.