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Abstract Background Patients with tuberous sclerosis complex (TSC) develop renal cysts and/or angiomyolipomas (AMLs) due to inactive mutations of either TSC1 or TSC2 and consequential mTOR hyperactivation. The molecular events between activated mTOR and renal cysts/AMLs are still largely unknown. Methods The mouse model of TSC-associated renal cysts were constructed by knocking out Tsc2 specifically in renal tubules (Tsc2 f/f; ksp-Cre). We further globally deleted PRAS40 in these mice to investigate the role of PRAS40. Tsc2 −/− cells were used as mTOR activation model cells. Inhibition of DNA methylation was used to increase miR-142-3p expression to examine the effects of miR-142-3p on PRAS40 expression and TSC-associated renal cysts. Results PRAS40, a component of mTOR complex 1, was overexpressed in Tsc2-deleted cell lines and mouse kidneys (Tsc2 f/f; ksp-Cre), which was decreased by mTOR inhibition. mTOR stimulated PRAS40 expression through suppression of miR-142-3p expression. Unleashed PRAS40 was critical to the proliferation of Tsc2 −/− cells and the renal cystogenesis of Tsc2 f/f; ksp-Cre mice. In contrast, inhibition of DNA methylation increased miR-142-3p expression, decreased PRAS40 expression, and hindered cell proliferation and renal cystogenesis. Conclusions Our data suggest that mTOR activation caused by TSC2 deletion increases PRAS40 expression through miR-142-3p repression. PRAS40 depletion or the pharmacological induction of miR-142-3p expression impaired TSC2 deficiency-associated renal cystogenesis. Therefore, harnessing mTOR/miR-142-3p/PRAS40 signaling cascade may mitigate hyperactivated mTOR-related diseases.

Abstract Background Clear cell renal cell carcinoma (ccRCC) remains one of the most lethal urological malignancies even though a great number of improvements in diagnosis and management have achieved over the past few decades. Accumulated evidence revealed that histone deacetylases (HDACs) play vital role in cell proliferation, differentiation and apoptosis. Nevertheless, the biological functions of histone deacetylation modification related genes in ccRCC remains poorly understood. Method Bulk transcriptomic data and clinical information of ccRCC patients were obtained from the TCGA database and collected from the Chinese PLA General Hospital. A total of 36 histone deacetylation genes were selected and studied in our research. Univariate cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression, random forest (RF) analysis, and protein-protein interaction (PPI) network analysis were applied to identify key genes affecting the prognosis of ccRCC. The ‘oncoPredict’ algorithm was utilized for drug-sensitive analysis. Gene Set Enrichment Analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to explore the potential biological function. The ssGSEA algorithm was used for tumor immune microenvironment analysis. The expression levels of HDAC10 were validated by RT-PCR and immunohistochemistry (IHC). 5-ethynyl-2′-deoxyuridine (EdU assay), CCK-8 assay, cell transwell migration and invasion assay and colony formation assay were performed to detect the proliferation and invasion ability of ccRCC cells. A nomogram incorporating HDAC10 and clinicopathological characteristics was established to predict the prognosis of ccRCC patients. Result Two machine learning algorithms and PPI analysis identified four histone deacetylation genes that have a significant association with the prognosis of ccRCC, with HDAC10 being the key gene among them. HDAC10 is highly expressed in ccRCC and its high expression is associated with poor prognosis for ccRCC patients. Pathway enrichment and the experiments of EdU staining, CCK-8 assay, cell transwell migration and invasion assay and colony formation assay demonstrated that HDAC10 mediated the proliferation and metastasis of ccRCC cells and involved in reshaping the tumor microenvironment (TME) of ccRCC. A clinically reliable prognostic predictive model was established by incorporating HDAC10 and other clinicopathological characteristics ( https://nomogramhdac10.shinyapps.io/HDAC10_Nomogram/ ). Conclusion Our study found the increased expression of HDAC10 was closely associated with poor prognosis of ccRCC patients. HDAC10 showed a pro-tumorigenic effect on ccRCC and promote the proliferation and metastasis of ccRCC, which may provide new light on targeted therapy for ccRCC.

Nanocarbon materials, such as carbon nanotubes (CNT), carbon nanofiber (CNTF), and graphene, have been extensively utilized for the development of electrical conductive cement composites (ECCC) due to their exceptional electrical conductivity. This review focuses on the current state of research on nanocarbon materials-engineered ECCC in the context of self-sensing applications, namely, self-sensing cement composites (SSCC), with a particular emphasis on the progress made in the last decade (2014–2024). Initially, the primary methods for preparing nanocarbon materials-engineered ECCC, including conductive cement-based ECCC and conductive aggregate-based ECCC, are comprehensively reviewed and compared. Subsequently, this review illustrates the electrical signal measurement and conductive theory of nanocarbon materials-engineered ECCC. Furthermore, the impact of nanocarbon materials on the performance of cement composites, encompassing microstructures, workability, mechanical, electrical behavior, and self-sensing properties, is thoroughly discussed. The review also presents case studies on the practical applications of nanocarbon materials-engineered SSCC. Finally, this review discusses the knowledge gaps and remaining challenges for future research. This review contributes to a deeper understanding of the preparation principles behind nanocarbon-engineered SSCC, providing insights for optimizing the design of high-performance SSCC, and holding the potential to drive the practical applications of nanocarbon-engineered SSCC in transportation infrastructures.

Abstract The assembly of chiral molecules with multiple stereogenic elements is challenging, and, despite of indisputable advances, largely limited to toxic, cost-intensive and precious metal catalysts. In sharp contrast, we herein disclose a versatile C–H alkylation using a non-toxic, low-cost iron catalyst for the synthesis of substituted indoles with two chiral elements. The key for achieving excellent diastereo- and enantioselectivity was substitution on a chiral N-heterocyclic carbene ligand providing steric hindrance and extra represented by noncovalent interaction for the concomitant generation of C–N axial chirality and C-stereogenic center. Experimental and computational mechanistic studies have unraveled the origin of the catalytic efficacy and stereoselectivity.

Short video advertisements are a novel and influential medium for promoting furniture products, but their effects on consumers’ purchase intentions remain underexplored. This study applies the extended stimulus-organism-response (SOR) framework, a psychological theory that elucidates how stimuli (short video ads), organisms (consumers), and responses (purchase intentions) are interrelated. This study quantitatively examines these relationships using structural equation modeling (SEM). The results reveal that the Flow experience and Telepresence experience significantly affect purchase intentions, indicating that consumers who experience high levels of engagement and immersion while viewing short furniture-related video ads are more likely to exhibit buying behavior. This study also identifies three critical antecedents of the Telepresence experience: social influence, perceived entertainment value, and perceived interactivity. These factors may enhance the effectiveness of short-form video advertising by increasing consumer interaction and engagement. Moreover, convenience conditions, perceived entertainment value, and media richness significantly influence consumers’ flow experience. This suggests that these factors should be considered when designing short video advertisements to optimize consumers’ flow experience and thus increase purchase intentions. This study provides empirical evidence for the SOR framework, investigates the impact of short video advertisements on furniture consumers’ purchase intention, and offers practical implications and recommendations for marketing practitioners.

The principle and application of oil shale in-situ mining technology are reviewed. Oil shale is rich in resources and is an important supplement to petroleum and natural gas as a source of energy. Currently, ground retorting technology is the primary way to produce shale oil because of its elaborated processing method and equipment. However, this technology has several disadvantages such as low thermal efficiency, high environmental pollution and inability to exploit deeply buried oil shale. A novel method called oil shale in-situ mining technology is efficient and environmentally friendly. This technology can exploit deep oil shale while reducing pollution and greenhouse effect. Based on the data collected, this paper summarizes the development of global underground in-situ oil shale mining technology, introduces four heating transfer principles and mathematical models of conduction heating, convection heating, radiation heating and combustion heating, clarifies the process flow, as well as presents advantages and disadvantages of different technologies. It provides a reference for the research of oil shale in-situ mining technology, and also looks into the technologyâs prospects for industrialization, integrating with greenization, information and intelligence.

Emotional recognition is a pivotal research domain in computer and cognitive science. Recent advancements have led to various emotion recognition methods, leveraging data from diverse sources like speech, facial expressions, electroencephalogram (EEG), electrocardiogram, and eye tracking (ET). This article introduces a novel emotion recognition framework, primarily targeting the analysis of users’ psychological reactions and stimuli. It is important to note that the stimuli eliciting emotional responses are as critical as the responses themselves. Hence, our approach synergizes stimulus data with physical and physiological signals, pioneering a multimodal method for emotional cognition. Our proposed framework unites stimulus source data with physiological signals, aiming to enhance the accuracy and robustness of emotion recognition through data integration. We initiated an emotional cognition experiment to gather EEG and ET data alongside recording emotional responses. Building on this, we developed the Emotion-Multimodal Fusion Neural Network (E-MFNN), optimized for multimodal data fusion to process both stimulus and physiological data. We conducted extensive comparisons between our framework’s outcomes and those from existing models, also assessing various algorithmic approaches within our framework. This comparison underscores our framework’s efficacy in multimodal emotion recognition. The source code is publicly available at https://figshare.com/s/8833d837871c78542b29.

The DXHS algorithm was proposed as an active noise control method and is often referred to as an adaptive method. This paper shows that the DXHS algorithm is a dynamical system that is equivalent to a passive internal model for sinusoidal signals. It follows that the disturbance attenuation ability is a consequence of the internal model principle, although the DXHS algorithm is proposed based on the standard way of thinking for adaptive methods. Moreover, the closed-loop system stability is guaranteed for strictly passive secondary paths.

Individual personality traits are powerful determinants of behavior, and they can profoundly influence consumer decisions as a comprehensive understanding of consumer personality traits. Their role in decision-making can improve the predictability of consumer-related behavior. In this study, data on consumers’ preferences and personality traits were collected through questionnaires using the Wood Furniture Product Characteristics Consumer Preference Scale and the Big Five Personality Inventory Simplified. Bivariate correlation analysis and stepwise multiple regression analysis were used to investigate the relationship between the Big Five personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and wood furniture product characteristics consumer preferences. Correlation analysis indicated that neuroticism was correlated negatively with wood furniture product characteristic consumer preference scores. Extraversion, agreeableness, and conscientiousness were correlated positively with wood furniture product characteristic consumer preference scores. There was no correlation between openness and consumer preference. Regression analysis indicated that neuroticism, extraversion, agreeableness, and conscientiousness predicted wood furniture product trait consumer preferences. Overall, assessing personality traits can help provide insight into the psychological and behavioral characteristics of consumers when purchasing wood furniture products, allowing for a more comprehensive understanding of market demand and more effective marketing and product positioning strategies.

Abstract Challenging enantio- and diastereoselective cobalt-catalyzed C–H alkylation has been realized by an innovative data-driven knowledge transfer strategy. Harnessing the statistics of a related transformation as the knowledge source, the designed machine learning (ML) model took advantage of delta learning and enabled accurate and extrapolative enantioselectivity predictions. Powered by the knowledge transfer model, the virtual screening of a broad scope of 360 chiral carboxylic acids led to the discovery of a new catalyst featuring an intriguing furyl moiety. Further experiments verified that the predicted chiral carboxylic acid can achieve excellent stereochemical control for the target C–H alkylation, which supported the expedient synthesis for a large library of substituted indoles with C-central and C–N axial chirality. The reported machine learning approach provides a powerful data engine to accelerate the discovery of molecular catalysis by harnessing the hidden value of the available structure-performance statistics.

Naturally derived biopolymers attracted great interest to construct photonic materials but traditional processing commonly results in non-uniform organization across largescale areas. Here, the authors report a uniform biophotonic organization of cellulose nanocrystals decorated with superparamagnetic nanoparticles enabling transformation from helicoidal cholesteric to uniaxial nematic phase with near-perfect orientation.

Research indicates that music can influence human cognitive functions. Diverse musical settings can affect alertness, orientation, and executive control of attention in various populations. Exploring the relationship between designers with highly creative thinking and music environments can provide new research perspectives for the cognitive field. A total of 94 students, consisting of 61 design majors and 33 non-design majors, completed the Attention Network Test (ANT) on a computer under three test environments: cheerful music, melancholic music, and silence. The study results indicated that the alerting network effect between the design professional group and the control group was marginally significant. However, there were no significant differences between the groups in the orienting subsystem and the executive control subsystem. Within the design professional group, the attentional network data indicated that participants showed improved performance in alerting and orienting attention in a music-free environment compared to cheerful and melancholic music environments (pa = 0.028, po = 0.008). Nevertheless, executive control attention did not show significant differences across the music environments. In conclusion, existing research confirms that designers are more susceptible to distraction from external stimuli; thus, music-free environments assist them in concentrating.

Abstract Background Cervicocerebral artery dissection is an important cause of ischemic stroke in young and middle-aged individuals. However, very few studies have compared the differential features between internal carotid artery dissection (ICAD) and vertebral artery dissection (VAD), including both cervical and intracranial artery dissections. We conducted a study to investigate the predisposing factors and radiological features in patients with ICAD or VAD. Methods All cases diagnosed with cervicocerebral artery dissection, ICAD, or VAD were identified through a medical records database, between January 2010 and January 2020. Baseline characteristics, predisposing factors, and radiological features of ICAD versus VAD were compared. Results A total of 140 patients with cervicocerebral artery dissection were included in the study, including 84 patients in the ICAD group and 56 in the VAD group. The mean age of patients in the ICAD and VAD groups was 43.37 ± 14.01 and 41.00 ± 12.98 years old, respectively. Patients with ICAD were more likely to be men compared with VAD (85.71% vs. 67.86%, p = 0.012). The frequency of hypertension, diabetes, smoking, drinking, and cervical trauma did not differ between ICAD and VAD. Dissections of ICAD were more frequently at the extracranial portions of the artery compared with those of VAD (70.24% vs. 44.64%, p = 0.003). In contrast, dissections of VAD were more common in the intracranial artery (55.36% vs. 29.76%, p = 0.003). Radiologically, double lumen (36.90% vs. 19.64%, p = 0.029) and intimal flap (11.90% vs. 1.79%, p = 0.029) were more frequently observed in ICAD than in VAD, and dissecting aneurysms were less frequent (13.10% vs. 26.79%, p = 0.041). Conclusions The distributions of cervical and intracranial artery dissections were different between ICAD and VAD. The frequencies of radiological features detected in patients with ICAD and VAD also differed.

Background and ObjectivesCraniocervical artery dissection (CAD) is the most common cause of ischemic stroke in young adults. The etiologies of CAD can be classified into three types, such as spontaneous (sCAD), minor traumatic (mtCAD), and genetic origin. Recent studies indicated that clinical presentations and imaging features could guide management and inform prognosis. This retrospective analysis sought to compare the clinical and imaging features of sCAD vs. mtCAD in providing evidence-based advice on medical treatment, functional rehabilitation, secondary stroke prevention, and prognosis, ultimately formulating clinical guidelines in managing CAD.MethodsIn total, 148 patients with CAD were identified from the medical records database and subdivided into sCAD and mtCAD based on the clinical presentations and imaging features. A retrospective comparative analysis was performed according to their clinical presentations and imaging features.ResultsPatients with mtCAD are significantly younger than sCAD with 120 cases of sCAD average aged 43.61 ± 12.75, while 28 cases of mtCAD average aged 35.68 ± 14.54. Patients with mtCAD had more cases of neck pain compared to sCAD. Patients with mtCAD had more cases of CAD at extracranial locations compared to sCAD. Patients with mtCAD had more cases of multiple site dissection compared to sCAD. Double lumen and intramural haematoma are the most common imaging findings with mtCAD patients having statistical significantly more cases of intramural haematoma and long tapering stenosis.ConclusionPatients with mtCAD were presented at a much younger age with symptoms of neck pain compared to sCAD. Patients with mtCAD predominantly presented at extracranial sites with more prominent features of multiple site dissection, intramural haematoma, and long tapering stenosis. These clinical and imaging features can translate into clinical practice guidelines for patients with CAD to improve the optimal functional outcome and reduce both morbidity and mortality.

Colorectal cancer (CRC) is one of the leading causes of cancer death worldwide, with most mortalities being caused by metastases. However, the underlying molecular mechanism of CRC metastases remains largely unknown. Emerging evidence has shown the role of the tripartite motif family, especially tripartite motif protein 6 (TRIM6), in carcinogenesis. In this study, we used CRC cell lines with TRIM6 knockdown and overexpression to investigate the function of TRIM6 in CRC metastasis. We found that TRIM6 promotes CRC cell migration and invasion both in vitro and in vivo. TRIM6 knockdown slows down the migration and invasion processes, whereas TRIM6 overexpression accelerates CRC cell migration and invasion. TRIM6 is potentially the upstream regulatory factor for signal transducer and activator of transcription 3 (STAT3) via the suppressor of cytokine signaling 2 (SOCS2). A total of 70 samples from patients with CRC further confirmed that TRIM6 expression level is positively correlated with STAT3 phosphorylation and negatively correlated with SOCS2 expression. Therefore, TRIM6 could be a potential therapeutic target for CRC metastasis.

Research on the impact of anthropogenic heat discharge in a thermal environment is significant in climate change research. Central heating is more common in the winter in Northeast China as an anthropogenic heat. This study investigates the impact of central heating on the thermal environment in Shenyang, Changchun, and Harbin based on multi-temporal land surface temperature retrieval from remote sensing. An equivalent heat island index method was proposed to overcome the problem of the method based on a single-phase image, which cannot evaluate all the central heating season changes. The method improves the comprehensiveness of a thermal environment evaluation by considering the long-term heat accumulation. The results indicated a significant increase in equivalent heat island areas at night with 22.1%, 17.3%, and 19.5% over Shenyang, Changchun, and Harbin. The increase was significantly positively correlated with the central heating supply (with an R-value of 0.89 for Shenyang, 0.93 for Changchun, and 0.86 for Harbin; p < 0.05). The impact of central heating has a more significant effect than the air temperature. The results provide a reference for future studies of urban thermal environment changes.

Internal carotid artery dissection (ICAD) results from a tear in the intima or rupture of the vasa vasorum with bleeding within the media resulting in separation of the vessel wall layers and a false lumen. It may cause arterial stenosis, occlusion, or dissecting pseudoaneurysm. Currently, the treatment of ICAD is controversial, including drug therapy and endovascular stent implantation. Simultaneous spontaneous dissection of bilateral carotid artery is rarely reported. We reported a 39-year-old-man with bilateral ICAD. Although the long-term durability of endovascular stent remains to be determined, for ICAD failed with active drug treatment and combined with hemodynamic impairment, early endovascular stent should be considered.

Soil moisture content (SMC) plays an essential role in geoscience research. The SMC can be retrieved using an artificial neural network (ANN) based on remote sensing data. The quantity and quality of samples for ANN training and testing are two critical factors that affect the SMC retrieving results. This study focused on sample optimization in both quantity and quality. On the one hand, a sparse sample exploitation (SSE) method was developed to solve the problem of sample scarcity, resultant from cloud obstruction in optical images and the malfunction of in situ SMC-measuring instruments. With this method, data typically excluded in conventional approaches can be adequately employed. On the other hand, apart from the basic input parameters commonly discussed in previous studies, a couple of new parameters were optimized to improve the feature description. The Sentinel-1 SAR and Landsat-8 images were adopted to retrieve SMC in the study area in eastern Austria. By the SSE method, the number of available samples increased from 264 to 635 for ANN training and testing, and the retrieval accuracy could be markedly improved. Furthermore, the optimized parameters also improve the inversion effect, and the elevation was the most influential input parameter.

“Harmony between the heart and kidney” refers to the physiological relationship between these two zang organs in Chinese medicine, while “disharmony between the heart and kidney” (also called disharmony between fire and water) refers to the pathological state. The pattern of disharmony between the heart and kidney is widely observed in patients with insomnia, anxiety disorder and menopausal syndrome, etc.. In order to gain a full and systematical understanding of this pattern, from the perspective of ancient Chinese philosophy and zang-fu theory in Chinese medicine, we systematically reviewed and discussed the functions and physiological characteristics of the heart and kidney, the origin and development of theories relating to heart–kidney relationship, the pathogenesis and identification of the pattern, as well as the commonly used classical formulas for its treatment, including Coptis and Donkey-Hide Gelatin Decoction (Huánglián Ējiāo Tāng) and Grand Communication Pill (Jiāotài Wán). Two examples of clinical modifications of these formulas in the treatment of insomnia and menopausal syndrome are provided in this article. It should be noted that in clinical practice, these formulas should be used flexibly, and modified in accordance to the condition of the patient.

Liver fire invading the lung (also called wood-fire torturing metal) is widely seen in various respiratory diseases. In order to understand this pattern well, from the perspective of the five elements theory and zang-fu theory in Chinese Medicine, we systematically reviewed and discussed the physiological and functional characteristics of the liver and lung, the liver–lung relationship, the pathogenesis and identification of the pattern, as well as the commonly used basic formulas for the treatment of this pattern, including White-Draining Powder (Xiè Bái Săn, 泻白散), Liver Heat-Dissolving Decoction (Huà Gān Jiān, 化肝煎), Indigo and Clam Shell Powder (Dài Gé Săn, 黛蛤散) and Hemoptysis-Relieving Formula (Ké Xuè Fāng, 咳血方). Two examples of clinical modifications of these formulas in the treatment of hemoptysis and asthma are provided in this article. It should be noted that in the treatment of pulmonary diseases, these formulas should be used flexibly, and modified in accordance to the condition of the patient.

Background: The bidirectional interaction between the gut and brain after stroke through the immune-mediated pathway has been studied. However, the long-term effects of gut microbiota and systemic immune homeostasis after cerebral ischemia remain unclear. We examined long-term changes in the gut microbiota and systemic inflammatory cytokines after cerebral infarction in cynomolgus monkeys.Methods: Twelve monkeys underwent successful distal M1 segment of the left middle cerebral artery occlusion (MCAO) and were randomly and equally assigned to the MCAO-1.5 m, MCAO-6 m, and MCAO-12 m groups, which were sacrificed 1.5, 6, and 12 months after cerebral infarction induction, respectively. Four monkeys that underwent a sham operation were sacrificed 12 months later. The gut microbiota and short-chain fatty acids (SCFAs) were analyzed by 16S rDNA sequencing and gas chromatography mass spectrometry, respectively. Histological examinations of the transverse colon were performed. Plasma D-lactate, zonulin, lipopolysaccharide (LPS), tumor necrosis factor (TNF-α), interferon (IFN)-γ, and interleukin (IL)-6 were detected by immunoassay kits.Results: The levels of the Bacteroidetes phylum and Prevotella genus were significantly increased, while the Firmicutes phylum as well as the Faecalibacterium, Oscillospira, and Lactobacillus genera were decreased after cerebral infarction. Gut-originating SCFAs were significantly decreased 6 and 12 months after cerebral infarction (P < 0.05). We observed intestinal mucosal damage, evaluated by Chiu's score. Plasma D-lactate, zonulin, LPS, TNF-α, IFN-γ, and IL-6 were significantly increased after cerebral infarction (P < 0.05). Additionally, the increases in plasma LPS, TNF-α, IFN-γ, and IL-6 after cerebral infarction coincided with overgrowth of the Bacteroidetes phylum (P < 0.001).Conclusion: Cerebral infarction induces persistent host gut microbiota dysbiosis, intestinal mucosal damage, and chronic systemic inflammation in cynomolgus monkeys.

Actual evapotranspiration (ET) with high spatiotemporal resolution is very important for the research on agricultural water resource management and the water cycle processes, and it is helpful to realize precision agriculture and smart agriculture, and provides critical references for agricultural layout planning. Due to the impact of the clouds, weather environment, and the orbital period of optical satellite, there are difficulties in providing daily remote sensing data that are not contaminated by clouds for estimating daily ET with high spatial-temporal resolution. By improving the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM), this manuscript proposes the method to fuse high temporal and low spatial resolution Weather Research and Forecasting (WRF) model surface skin temperature (TSK) with the low temporal and high spatial resolution remote sensing surface temperature for obtaining high spatiotemporal resolution daily surface temperature to be used in the estimation of the high spatial resolution daily ET (ET_WRFHR). The distinction of this study from the previous literatures can be summarized as the novel application of the fusion of WRF-simulated TSK and remote sensing surface temperature, giving full play to the availability of model surface skin temperature data at any time and region, making up for the shortcomings of the remote sensing data, and combining the high spatial resolution of remote sensing data to obtain ET with high spatial (Landsat-like scale) and temporal (daily) resolution. The ET_WRFHR were cross-validated and quantitatively verified with MODIS ET products (MOD16) and observations (ET_Obs) from eddy covariance system. Results showed that ET_WRFHR not only better reflects the difference and dynamic evolution process of ET for different land types but also better identifies the details of various fine geographical objects. It also represented a high correlation with the ET_Obs by the R2 amount reaching 0.9186. Besides, the RMSE and BIAS between ET_WRFHR and the ET_Obs are obtained as 0.77 mm/d and −0.08 mm/d respectively. High R2, as well as the small RMSE and BIAS amounts, indicate that ET_WRFHR has achieved a very good performance.

Accurate cropland classification is important for agricultural monitoring and related decision-making. The commonly used input spectral features for classification cannot be employed to effectively distinguish crops that have similar spectro-temporal features. This study attempted to improve the classification accuracy of crops using both the thermal feature, i.e., the land surface temperature (LST), and the spectral feature, i.e., the normalized difference vegetation index (NDVI), for classification. To amplify the temperature differences between the crops, a temperature index, namely, the modified land surface temperature index (mLSTI) was built using the LST. The mLSTI was calculated by subtracting the average LST of an image from the LST of each pixel. To study the adaptability of the proposed method to different areas, three study areas were selected. A comparison of the classification results obtained using the NDVI time series and NDVI + mLSTI time series showed that for long time series from June to November, the classification accuracy when using the mLSTI and NDVI time series was higher (85.6% for study area 1 in California, 96.3% for area 2 in Kansas, and 91.2% for area 3 in Texas) than that when using the NDVI time series alone (82.0% for area 1, 94.7% for area 2, and 90.9% for area 3); the same was true in most of the cases when using the shorter time series. With the addition of the mLSTI time series, the shorter time series achieved higher classification accuracy, which is beneficial for timely crop identification. The sorghum and soybean crops, which exhibit similar NDVI feature curves in this study, could be better distinguished by adding the mLSTI time series. The results demonstrated that the classification accuracy of crops can be improved by adding mLSTI long time series, particularly for distinguishing crops with similar NDVI characteristics in a given study area.

Background: Venous thromboembolism (VTE) is a principal cause of mortality and adverse oncologic outcomes in patients with renal tumor and inferior vena cava tumor thrombus (RT-IVCTT). However, the preoperative thrombotic risk factors in these patients remain not fully characterized. Objectives: To identify preoperative thrombotic risk factors in patients with RT-IVCTT. Patients/Methods: Two hundred fifty-seven consecutive postsurgical patients with RT-IVCTT aged 18-86 years were enrolled between January 2008 and September 2022. Clinicopathological variables were retrospectively reviewed. A multivariate logistic regression model was performed. Preoperative hemoglobin, neutrophils, and serum albumin levels were analyzed as both continuous and categorical variables. Results: VTE was identified in 63 patients (24.5%). On both continuously and categorically coded variables, advanced IVC thrombus (OR 3.2, 95% CI: 1.4-7.0; OR 2.7, 95% CI: 1.2-6.1), renal sinus fat invasion (OR 3.4, 95% CI: 1.6-7.0; OR 3.7, 95% CI: 1.8-7.7), IVC wall invasion (OR 3.6, 95% CI: 1.6-7.9; OR 4.3, 95% CI: 1.9-10.0), IVC blockage status of greater than 75% (OR 5.2, 95% CI: 1.7-15.8; OR 6.1, 95% CI: 1.9-19.7), and higher neutrophils (OR 1.3, 95% CI: 1.0-1.7; OR 2.4, 95% CI: 1.1-5.4) were significantly associated with increased VTE risk in patients with RT-IVCTT. Except hemoglobin, categorically coded serum albumin (OR 0.36, 95% CI: 0.17-0.75) was validated as an independent risk factor for VTE. Conclusions: This study provided an insight of risk factors contributing to preoperative VTE in patients with RT-IVCTT, which may be beneficial for optimizing strategies to manage VTE in clinical practice. [ABSTRACT FROM AUTHOR]