Two three-dimensional coordination polymers as fluorescence probes for the detection of nitrobenzene, tetracycline, fluazinam and their application in green pepper.

Two coordination polymers (CPs), [Zn5(L)2(phen)5](1) and [Cd2(HL)(2,2-bpy)(H2O)3](2), were synthesized by using 2',3,3',5,5'-Diphenyl ether pentacarboxylic acid (H5L), phenanthroline (phen), and 2,2'-bipyridine (2,2'-bpy) under hydrothermal conditions. The L5- ligand adopts the µ6-к2: к2: к1: к1: к1: к1 mode in 1 and the µ5-к2: к2: к2: к2: к1 mode in 2. Sensing experiments show that 1 and 2 are fluorescence probes with high sensitivity and rapid detection of nitro explosives, antibiotics, and pesticides. In order to verify the ability of 2 to detect FLU in actual samples, we performed a spiked recovery experiment in green pepper water. The spiked recoveries were 97.77-101.18 %. Interestingly, because H5L is not completely deprotonated in 2, there is abundant hydrogen bonding, which makes the fluorescence quenching rate higher and the detection limit lower. The possible fluorescence quenching mechanism of 1 and 2 can be explained by their UV-VIS absorption spectra and orbital energy levels.

Radiation dose reduction and image quality in pediatric paranasal sinus CT: with automatic tube current modulation and iterative reconstruction technique.

Our objective is to evaluate radiation dose and image quality in pediatric paranasal sinus computed tomography (CT) with automatic tube current modulation (ATCM) and sinogram-affirmed iterative reconstruction algorithm (SAFIRE). CT scans from 80 patients were divided into two groups: Group A [80 kVp, pitch 1.5, 40 mAs, the filtered back projection (FBP) algorithm] and Group B (70 kVp, pitch 3, ATCM with reference at 40 mAs, SAFIRE strengths 1-5). We have evaluated image quality and radiation dose. Group B demonstrated significantly lower volume computed tomography dose index, dose-length product, and effective dose than Group A (0.13 ± 0.03 vs. 1.57 ± 0.01 mGy, 2.27 ± 0.82 vs. 19.88 ± 2.01 mGy·cm, and 0.0081 ± 0.0017 vs. 0.079 ± 0.013 mSv, respectively; P < .001). Increasing SAFIRE strengths correlated with noise reduction and SNR enhancement. Group B's noise and SNRsoft at SAFIRE strength 5 were comparable with Group A. Images reconstructed with SAFIRE strength 5 in Group B exhibit comparable image quality with FBP in Group A.

A new toad of Oreolalax Myers & Leviton, 1962 (Anura, Megophryidae) from Sichuan Province, southwest China.

A new species of the genus Oreolalax Myers & Leviton, 1962 is described from Sichuan Province, southwest China. Molecular phylogenetic analyses based on mitochondrial gene sequences clustered the new species as an independent clade nested with O.rugosus, O.liangbeiensis, and O.major. The new species could be distinguished from its congeners by a combination of the following characters: body size moderate (39.8-52.8 mm in male); head broad; tympanum absent; interorbital region with dark triangular pattern; 1/3 toes webbed, with broad lateral fringes, belly smooth, brown yellow or medium yellow scattered variable brown spots; skin on dorsum relatively rough with fine tiny and large warts granules; middle pectoral glands are evident in males; flanks with dark-brown warts granules; upper surface of limbs with dark bars; and iris orange above and creamy-white below. The new species inhabits subtropical alpine scrub and swamp.

[Identification of Priority Areas for Carbon Compensation in Chongqing Based on the Difference in Land Use Carbon Budget].

This study aimed to explore the spatiotemporal patterns and balance characteristics of land use carbon budget, measure the value of carbon compensation, and delineate carbon compensation type zoning to provide scientific reference for further strengthening the connection between the construction of an ecological compensation system and the "dual carbon" target task. Based on the land cover data of Chongqing from 2000 to 2020, this study analyzed the spatiotemporal dynamics and balance relationship characteristics of the land use carbon budget. By using the revised carbon compensation model to measure the horizontal compensation standards, the normalized revealed comparative advantage （NRCA） index and K-means clustering analysis method were used to divide the carbon compensation area. The research results demonstrated that： ① the total land use carbon sequestration in Chongqing grew slowly from 2000 to 2020, whereas carbon emissions continued to increase significantly, and the net carbon emissions showed a distribution pattern of "high in the center and low in the two wings." ② The average coefficient of variation in Chongqing was 0.602, and the carbon emission economy contributive coefficient and carbon ecological support coefficient were concentrated between 0.64-1.14 and 0.00-32.86, respectively. The difference in the contribution of carbon emissions and economic benefits between districts and counties was relatively small, but there was a mismatch between carbon supply and demand. ③ A significant spatial difference existed in the value of carbon compensation, with a total of 1.098 billion yuan in carbon payment and 634 million yuan in carbon compensation, respectively. Moreover, it was ultimately determined that there were eight key payment areas, seven general payment areas, three key compensation areas, and 20 general compensation areas. In conclusion, the research results can provide a reference for implementing differentiated development strategies in different types of carbon compensation regions, improve the collaborative governance capacity of the regional ecological environment, and promote the achievement of carbon neutrality goals.

[Pollution Characteristics and Source Apportionment of Heavy Metals in Topsoil of Counties Along the Shandong Section of the Yellow River].

The 25 counties along the Shandong section of the Yellow River are the core areas for promoting the ecological protection and high-quality development of the Yellow River in Shandong Province. Moreover, it is of great significance to study the current situation, sources, and potential risks of heavy metal pollution in the topsoil in this region. In this study, 103 soil samples were collected from the 25 counties along the Shandong section of the Yellow River, and the contents of eight heavy metals （As, Cu, Pb, Cr, Zn, Ni, Cd, and Hg） were determined. The pollution characteristics of heavy metals were analyzed and evaluated using the geological accumulation index and potential ecological risk index. Correlation analysis and the positive matrix factorization （PMF） model were used to analyze the sources of heavy metals. The results showed that the average contents of Cu and Cr were lower than that of the background values of soils, whereas the average contents of As, Pb, Zn, Ni, Cd, and Hg were 1.16, 1.42, 1.05, 1.14, 2.29, and 1.85 times higher than that of the background values, respectively, and the average contents of all eight elements were lower than the screening value of soil pollution risk in agricultural land. In terms of different heavy metal variations, the coefficient of variation （CV） of Cu and Cd was higher than 0.500, indicating high variations, whereas As, Pb, Cr, Zn, Ni, and Hg showed moderate variation. Cd and Hg were slightly polluted, whereas the other six elements were not polluted. Cd and Hg had a moderate potential ecological risk level, whereas the other six elements were at a low level. Correlation analysis and PMF model showed that the sources of heavy metals in the study area were influenced by four factors, i.e., agricultural activities, natural sources, industrial emissions, and atmospheric dust from coal combustion and vehicle exhaust emissions, and the relative contribution rates were 32.4%, 34.9%, 16.5%, and 16.2%, respectively.

A Multifunctional Coating with Active Corrosion Protection Through a Synergistic pH- and Thermal-Responsive Mechanism.

This article aims to develop CeO2 nanocontainer-constructed coating with a synergistic self-healing and protective nature through a simple mechanical blending technique to manage metal corrosion. The proposed coating exhibits excellent corrosion resistance, which is primarily attributed to the combination of thermal-driven healing and active corrosion inhibition. Paraffin wax and 2-polybenzothiazole-loaded CeO2 nanotubes (CeO2-MBT) are directly doped into epoxy coating to perform such a multifunctional role. CeO2 nanocontainers and encapsulated corrosion inhibitor MBT can be released by pH triggers to achieve instant corrosion inhibition upon the surface of metal substrate. In addition, any physical defects in the coating are responsively repaired by heating incorporated paraffin wax to regain structural integrity and consequent barrier function. Corrosion protection efficiency remains sufficient even after ten cycles of damage and healing. Such a multiple-functional coating strategy provides an alternative pathway toward efficient and sustainable performance to tackle corrosion-related challenges of metal components in both short-term and long-term services.

Discovery of 2-Aryl-4-aminoquinazolin-Based LSD1 Inhibitors to Activate Immune Response in Gastric Cancer.

LSD1 (histone lysine-specific demethylase 1) has been gradually disclosed to act as an immunomodulator to enhance antitumor immune response. Despite the identification of numerous potent LSD1 inhibitors, there remains a lack of LSD1 inhibitors approved for marketing. Novel LSD1 inhibitors with different mechanisms are therefore needed. Herein, we reported a series of novel quinazoline-based LSD1 inhibitors. Among them, compound Z-1 exhibited the best LSD1 inhibitory activity (IC50 = 0.108 µM). Z-1 also acted as a selective and cellular active as an LSD1 inhibitor. Furthermore, Z-1 promoted response of gastric cancer cells to T-cell killing effect by decreasing PD-L1 expression and further attenuated the PD-1/PD-L1 interaction. In vivo, Z-1 exhibited significant suppression effect on the growth of gastric cancer cells without obvious toxicity. Therefore, Z-1 represents a potential novel immunomodulator that targets LSD1, providing a lead compound with new function mechanism for gastric cancer treatment.

Drug-Related Keratitis: A Real-World FDA Adverse Event Reporting System Database Study.

Purpose: This study aimed to assess the drug risk of drug-related keratitis and track the epidemiological characteristics of drug-related keratitis. Methods: This study analyzed data from the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database from January 2004 to December 2023. A disproportionality analysis was conducted to assess drug-related keratitis with positive signals, and drugs were classified and assessed with regard to their drug-induced timing and risk of drug-related keratitis. Results: A total of 1606 drugs were reported to pose a risk of drug-related keratitis in the FAERS database, and, after disproportionality analysis and screening, 17 drugs were found to significantly increase the risk of drug-related keratitis. Among them, seven were ophthalmic medications, including dorzolamide (reporting odds ratio [ROR] = 3695.82), travoprost (ROR = 2287.27), and brimonidine (ROR = 2118.52), and 10 were non-ophthalmic medications, including tralokinumab (ROR = 2609.12), trazodone (ROR = 2377.07), and belantamab mafodotin (ROR = 680.28). The top three drugs having the highest risk of drug-related keratitis were dorzolamide (Bayesian confidence propagation neural network [BCPNN] = 11.71), trazodone (BCPNN = 11.11), and tralokinumab (BCPNN = 11.08). The drug-induced times for non-ophthalmic medications were significantly shorter than those for ophthalmic medications (mean days, 141.02 vs. 321.96, respectively; P < 0.001). The incidence of drug-related keratitis reached its peak in 2023. Conclusions: Prevention of drug-related keratitis is more important than treatment. Identifying the specific risks and timing of drug-induced keratitis can support the development of preventive measures. Translational Relevance: Identifying the specific drugs related to medication-related keratitis is of significant importance for drug vigilance in the occurrence of drug-related keratitis.

[Chemical constituents from stem bark of Aquilaria sinensis and their antibacterial activity against Helicobacter pylori].

The stem bark of Aquilaria sinensis(Thymelaeaceae), with the local name of "Li-Wa-Zi-Xing", is used in traditional Yi medicine for treating chronic gastritis and other diseases. However, its active ingredients remain currently unknown. In this study, Helicobacter pylori(Hp) is used in anti-bacterial experiments to test the active compounds derived from A. sinensis stem bark. Nineteen compounds were isolated from the stem bark of A. sinensis by column chromatography, high-performance liquid chromatography, recrystallization, etc. Aquilaridiester(1) is a new lignan. The other eighteen compounds were reported before, including docosyl caffeate(2), 6-hydroxy-2-[2-(4-methoxyphenyl)ethyl]-4H-1-benzopyran-4-one(3), qinanone A(4), 6-hydroxy-2-(2-phenylethyl)chromone(5), 6-hydroxy-2-[2-(3-hydroxy-4-methoxyphenyl)ethyl]-4H-1-benzopyran-4-one(6), 6-hydroxy-2-[2-(3-methoxy-4-hydroxyphenyl)ethyl]-4H-1-benzopyran-4-one(7), 6-hydroxy-2-[2-(3,4-dimethoxyphenyl)ethyl]chromone(8), 6-hydroxy-2-[(1E)-2-(4-hydroxy-3-methoxyphenyl)ethenyl]-4H-1-benzopyran-4-one(9), genkwanin(10), 5-hydroxy-2-(4-hydroxy-3,5-dimethoxyphenyl)-7-methoxy-4H-1-benzopyran-4-one(11), 3-hydroxy-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone(12),(+)-syringaresinol(13), zhebeiresinol(14), aquilarin A(15), caruilignan D(16),(-)-ficusal(17), pistaciamide(18), and protocatechuic acid(19). The anti-bacterial results show that compounds 2-7, 10-11, and 13 have inhibitory activity against Hp. Among them, 6-hydroxy-2-(2-phenylethyl)chromone(5) and 6-hydroxy-2-[2-(3-methoxy-4-hydroxyphenyl)ethyl]-4H-benzopyran-4-one(7) have superior inhibitory effects on Hp to others, with the same minimum inhibitory concentration(MIC) of 6.25 µmol·L~(-1). The 2-(2-phenylethyl)chromones are the major active ingredients in A. sinensis stem bark.

COVID-19-associated autoimmune encephalitis: A case report and literature review.

RATIONALE: This article reports a case of coronavirus disease (COVID-19)-associated autoimmune encephalitis (AE) and reviews the relevant literature to investigate the clinical manifestations, auxiliary inspection, diagnosis and treatment, and prognosis of AE associated with COVID-19. PATIENT CONCERNS: A 68-year-old female with fatigue developed altered consciousness after 2 days of fever, thereafter testing positive for COVID-19. The protein levels in the lumbar puncture cerebrospinal fluid were elevated, and cranial magnetic resonance imaging (MRI) scan indicated T2-weighted hyperintensity in the temporal lobe. DIAGNOSES: The patient was diagnosed with COVID-19-associated AE. INTERVENTIONS: After admission, the patient received pulse steroid therapy with methylprednisolone. Additionally, gastric protection, blood glucose control, nutritional support, and other treatments were administered. OUTCOMES: The symptoms were significantly relieved by steroid pulse therapy. At the 3-month follow-up, the patient had recovered completely without any obvious discomfort. LESSONS: The possibility of AE should be considered if neurological symptoms occur a few days after infection with COVID-19, with early diagnosis and immediate steroid pulse therapy resulting in better outcomes.

[Research progress of metabolomics in children with irritable bowel syndrome]. / ä»£è°¢ç»„å­¦åœ¨å„¿ç«¥è‚ æ˜“æ¿€ç»¼åˆå¾è¯Šæ²»ä¸­çš„ç ”ç©¶è¿›å±•.

Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder characterized by symptoms such as abdominal pain, diarrhea, constipation, and indigestion. Given its unclear etiology and pathogenesis, and the absence of specific biomarkers, clinical diagnosis and treatment of IBS continue to pose significant challenges. In recent years, metabolomics technology, known for its non-invasive, high-throughput, high-precision, and highly reproducible features, has been widely applied in the diagnosis, treatment, and prognosis of various diseases. Therefore, metabolomics technology is expected to offer novel insights and methodologies for the biological mechanism research, diagnosis, and treatment of IBS. This article reviews recent advancements in the application of metabolomics to IBS, exploring its potential value in the clinical diagnosis and treatment of children with this condition.

Contributions of individual qSOFA elements to assessment of severity and for prediction of mortality.

BACKGROUND: The quick sequential [sepsis-related] organ failure assessment (qSOFA) acts as a prompt to consider possible sepsis. The contributions of individual qSOFA elements to assessment of severity and for prediction of mortality remain unknown. METHODS: A total of 3974 patients with community-acquired pneumonia were recruited to an observational prospective cohort study. The area under the receiver operating characteristic curve (AUROC), odds ratio, relative risk and Youden's index were employed to assess discrimination. RESULTS: Respiratory rate ≥22/min demonstrated the most superior diagnostic value, indicated by largest odds ratio, relative risk and AUROC, and maximum Youden's index for mortality. However, the indices for altered mentation and systolic blood pressure (SBP) ≤100 mm Hg decreased notably in turn. The predictive validities of respiratory rate ≥22/min, altered mentation and SBP ≤100 mm Hg were good, adequate and poor for mortality, indicated by AUROC (0.837, 0.734 and 0.671, respectively). Respiratory rate ≥22/min showed the strongest associations with SOFA scores, pneumonia severity index, hospital length of stay and costs. However, SBP ≤100 mm Hg was most weakly correlated with the indices. CONCLUSIONS: Respiratory rate ≥22/min made the greatest contribution to parsimonious qSOFA to assess severity and predict mortality. However, the contributions of altered mentation and SBP ≤100 mm Hg decreased strikingly in turn. It is the first known prospective evidence of the contributions of individual qSOFA elements to assessment of severity and for prediction of mortality, which might have implications for more accurate clinical triage decisions.

Respiratory rate ≥22/min demonstrated the most superior diagnostic value.Respiratory rate ≥22/min showed the strongest association with severity.Respiratory rate ≥22/min, altered mentation and SBP ≤100 mm Hg predicted mortality well, adequately and poorly, respectively.

The AP-2 Family of Transcription Factors-Still Undervalued Regulators in Gastroenterological Disorders.

Activating enhancer-binding protein 2 (AP-2) is a family of transcription factors (TFs) that play crucial roles in regulating embryonic and oncogenic development. In addition to splice isoforms, five major family members encoded by the TFAP2A/B/C/D/E genes have been identified in humans, i.e., AP-2α/ß/γ/δ/ε. In general, the first three TFs have been studied more thoroughly than AP-2δ or AP-2ε. Currently, there is a relatively limited body of literature focusing on the AP-2 family in the context of gastroenterological research, and a comprehensive overview of the existing knowledge and recommendations for further research directions is lacking. Herein, we have collected available gastroenterological data on AP-2 TFs, discussed the latest medical applications of each family member, and proposed potential future directions. Research on AP-2 in gastrointestinal tumors has predominantly been focused on the two best-described family members, AP-2α and AP-2γ. Surprisingly, research in the past decade has highlighted the importance of AP-2ε in the drug resistance of gastric cancer (GC) and colorectal cancer (CRC). While numerous questions about gastroenterological disorders await elucidation, the available data undoubtedly open avenues for anti-cancer targeted therapy and overcoming chemotherapy resistance. In addition to gastrointestinal cancers, AP-2 family members (primarily AP-2ß and marginally AP-2γ) have been associated with other health issues such as obesity, type 2 diabetes, liver dysfunction, and pseudo-obstruction. On the other hand, AP-2δ has been poorly investigated in gastroenterological disorders, necessitating further research to delineate its role. In conclusion, despite the limited attention given to AP-2 in gastroenterology research, pivotal functions of these transcription factors have started to emerge and warrant further exploration in the future.

Research on the energy saving behaviors of university students based on TPB in a hot summer-cold winter area in China.

Energy saving in higher education institutions holds significant importance in the establishment of environmentally friendly and low-carbon societies, with the energy-saving behaviors of university students playing a pivotal role in the development of sustainable campuses. However, there is a clear need for customized strategies to encourage energy-saving habits among university students in areas of China with extreme weather conditions, such as hot summers and cold winters. This study offers a thorough examination of the literature regarding energy-saving behaviors among college students and presents a new theoretical framework based on the Theory of Planned Behavior (TPB). A survey questionnaire is conducted at universities in regions with hot summers and cold winters across China, with the goal of identifying the main factors that influence students' intentions and actions regarding campus energy conservation. From July to August 2022, we collected 512 survey responses from different university campuses in China's hot summer-cold winter weather zone. The survey asked about subjective norms, understanding of energy conservation, and the importance of saving energy. Utilizing the Structural Equation Model (SEM), we examined how influencing factors are associated with energy conservation behaviors. Our findings indicate that (1) both the significance of energy conservation and subjective norms significantly drive energy-saving actions; (2) distinct factors impact different forms of energy-saving practices; and (3) the inclination to save energy partially mediates the relationship between comfort choices and the significance of energy conservation. This study presents a validated behavioral model tailored for regions experiencing hot summers and cold winters, offering valuable insights for college administrators in managing energy usage while also serving as a theoretical reference for establishing environmentally sustainable campuses.

3-D bioprinted human-derived skin organoids accelerate full-thickness skin defects repair.

The healing of large skin defects remains a significant challenge in clinical settings. The lack of epidermal sources, such as autologous skin grafting, limits full-thickness skin defect repair and leads to excessive scar formation. Skin organoids have the potential to generate a complete skin layer, supporting in-situ skin regeneration in the defect area. In this study, skin organoid spheres, created with human keratinocytes, fibroblasts, and endothelial cells, showed a specific structure with a stromal core surrounded by surface keratinocytes. We selected an appropriate bioink and innovatively combined an extrusion-based bioprinting technique with dual-photo source cross-linking technology to ensure the overall mechanical properties of the 3D bioprinted skin organoid. Moreover, the 3D bioprinted skin organoid was customized to match the size and shape of the wound site, facilitating convenient implantation. When applied to full-thickness skin defects in immunodeficient mice, the 3D bioprinted human-derived skin organoid significantly accelerated wound healing through in-situ regeneration, epithelialization, vascularization, and inhibition of excessive inflammation. The combination of skin organoid and 3D bioprinting technology can overcome the limitations of current skin substitutes, offering a novel treatment strategy to address large-area skin defects.

Therapeutic potential of Cordyceps sinensis targeting oxidative stress and inflammatory response in the treatment of COPD rats: insights from metabolomics analysis.

This study aimed to investigate the effects of wild Cordyceps sinensis on chronic obstructive pulmonary disease (COPD) rats through metabolomics approach, combined with biochemical parameters evaluations. Consequently, C. sinensis exhibited regulatory effects on the lung's metabolic profiles in COPD rats. Treatment with C. sinensis potentially modulated glycerophospholipid metabolism, glutathione metabolism, and tryptophan metabolism, thereby alleviating oxidative stress (by decreasing MDA and GSSG, while increasing SOD and GSH) and inflammatory response (by inhibiting TNF-α, IL-8, and MMP-9) in COPD rats while improving lung tissue damage.

Activation of ß3-AR by mirabegron prevents aortic dissection/aneurysm by promoting lymphangiogenesis in perivascular adipose tissue.

AIMS: ß3-AR (ß3-adrenergic receptor) is essential for cardiovascular homeostasis through regulating adipose tissue function. Perivascular adipose tissue (PVAT) has been implicated in the pathogenesis of aortic dissection and aneurysm (AD/AA). Here, we aim to investigate ß3-AR activation-mediated PVAT function in AD/AA. METHODS AND RESULTS: Aortas from patients with thoracic aortic dissection (TAD) were collected to detect ß3-AR expression in PVAT. ApoE-/- and ß-aminopropionitrile monofumarate (BAPN)-treated C57BL/6 mice were induced with Angiotensin II (AngII) to simulate AD/AA, and subsequently received either placebo or mirabegron, a ß3-AR agonist. The results demonstrated an up-regulation of ß3-AR in PVAT of TAD patients and AD/AA mice. Moreover, activation of ß3-AR by mirabegron significantly prevented AngII-induced AD/AA formation in mice. RNA-sequencing analysis of adipocytes from PVAT revealed a notable increase of the lymphangiogenic factor VEGF-C in mirabegron-treated mice. Consistently, enhanced lymphangiogenesis was found in PVAT with mirabegron treatment. Mechanistically, the number of CD4+/CD8+ T cells and CD11c+ cells was reduced in PVAT but increased in adjacent draining lymph nodes (LNs) of mirabegron-treated mice, indicating the improved draining and clearance of inflammatory cells in PVAT by lymphangiogenesis. Importantly, adipocyte-specific VEGF-C knockdown by the adeno-associated virus system restrained lymphangiogenesis and exacerbated inflammatory cell infiltration in PVAT, which ultimately abolished the protection of mirabegron on AD/AA. In addition, the conditional medium derived from mirabegron-treated adipocytes activated the proliferation and tube formation of lymphatic endothelial cells (LECs), which was abrogated by the silencing of VEGF-C in adipocytes. CONCLUSIONS: Our findings illustrated the therapeutic potential of ß3-AR activation by mirabegron on AD/AA, which promoted lymphangiogenesis by increasing adipocyte-derived VEGF-C and, therefore, ameliorated PVAT inflammation.

Analysis and comparison of retinal vascular parameters under different glucose metabolic status based on deep learning.

AIM: To develop a deep learning-based model for automatic retinal vascular segmentation, analyzing and comparing parameters under diverse glucose metabolic status (normal, prediabetes, diabetes) and to assess the potential of artificial intelligence (AI) in image segmentation and retinal vascular parameters for predicting prediabetes and diabetes. METHODS: Retinal fundus photos from 200 normal individuals, 200 prediabetic patients, and 200 diabetic patients (600 eyes in total) were used. The U-Net network served as the foundational architecture for retinal artery-vein segmentation. An automatic segmentation and evaluation system for retinal vascular parameters was trained, encompassing 26 parameters. RESULTS: Significant differences were found in retinal vascular parameters across normal, prediabetes, and diabetes groups, including artery diameter (P=0.008), fractal dimension (P=0.000), vein curvature (P=0.003), C-zone artery branching vessel count (P=0.049), C-zone vein branching vessel count (P=0.041), artery branching angle (P=0.005), vein branching angle (P=0.001), artery angle asymmetry degree (P=0.003), vessel length density (P=0.000), and vessel area density (P=0.000), totaling 10 parameters. CONCLUSION: The deep learning-based model facilitates retinal vascular parameter identification and quantification, revealing significant differences. These parameters exhibit potential as biomarkers for prediabetes and diabetes.

Evaluating the reduction of elective radiotherapy fields for de novo metastatic nasopharyngeal carcinoma in the immunotherapy era.

BACKGROUND: This study evaluates the outcomes of omitting the high- and low-risk clinical tumor volume (CTV1 and CTV2) radiation in de novo metastatic nasopharyngeal carcinoma (dnm-NPC) patients in the immunotherapy era. METHODS: We retrospectively analyzed 45 consecutive dnm-NPC patients receiving chemotherapy and immunotherapy combined with radiotherapy (CIR) from October 9, 2018 to June 1, 2022. Irradiation was only delivered to the primary tumor and retropharyngeal nodes (GTVnx+rn) and gross cervical lymph nodes (GTVnd). RESULTS: The median follow-up was 45 (range, 15-67) months. There was no recurrence in the omitted elective regions. The 36-month LRRFS, PFS, and OS were 95.4%, 44.6%, and 90.8%, respectively. The main grade 3/4 hematologic toxicities were neutropenia (42.2%), anemia (20.0%), and thrombocytopenia (13.3%). The incidence of acute grade 3/4 dermatitis, mucositis, and xerostomia were 4.4%, 8.9%, and 4.4%, respectively. CONCLUSIONS: Omitting CTV1 and CTV2 was well-tolerated and provided favorable clinical outcomes in the era of immunotherapy.

Based on the improved fuzzy analytic hierarchy and the TSE-MLR model energy consumption prediction of university: A case study.

The accurate prediction of building energy consumption on university campuses is a significant research area. Current studies often focus on predicting the energy consumption of specific building areas or individual equipment, and typically consider only one factor, limiting the accuracy and applicability of the predictions. This study introduces the Time Segmented Energy-Multiple Linear Regression (TSE-MLR) prediction model, which integrates the improved fuzzy analytic hierarchy and the multiple linear regression algorithm. The model is compared with traditional (MLR, BP) and advanced (RNN) models, and their various indexes are discussed and analyzed. By collecting meteorological and energy consumption data from the study site over the past 12 years, the key factors affecting energy consumption on the university campus were identified using the improved fuzzy analytic hierarchy. Subsequently, the TSE-MLR model was trained using energy consumption data from 2010 to 2016 and validated using data from 2017 to 2019. The prediction results of the TSE-MLR model were compared with those obtained through Multiple linear regression, BP neural networks, and RNN. The results demonstrated that the TSE-MLR model significantly reduced the prediction error by 13.8 % and exhibited higher accuracy compared to the other models. Therefore, the TSE-MLR model introduced in this study offers a new and effective approach to predicting university energy consumption and supporting energy management using existing data from university building operations across different periods.