State-to-state photodissociation dynamics of CO2 at 157 nm.

State-to-state photodissociation of CO2(v2 = 0 and 1) at 157 nm via the O(1D) + CO(X1Σ+) channel was studied by using the sliced velocity map imaging technique. Both the O(1D) and CO(X1Σ+) products were detected by (2 + 1) resonance enhanced multiphoton ionization (REMPI). Detection of CO via the B1Σ+ ←← X1Σ+ transition allowed ro-vibrational state-selective detection, and combined with imaging, the fragment energy and angular distributions have been derived. For CO(v = 0 and 1|j) products from the CO2(v2 = 0) molecule, the angular distributions of low-j CO display positive anisotropic parameters (about 0.8); with j increasing, the product anisotropic parameters gradually reduce to zero. While for CO(v = 0 and 1|j) products from the vibrational excited CO2(v2 = 1) molecule, the angular distributions of low-j CO also display positive anisotropic parameters; with j increasing, the product anisotropic parameters first decrease to zero and then become negative (about -0.5). Experimental results show that the observed variation of the product angular distribution with the rotational quantum number of CO is consistent with trends predicted by a classical model for non-axial fragment recoil. The results support advanced theoretical predictions of a predominantly parallel transition to the bent 21A' excited state of CO2, where bending introduces torque during the direct dissociation process.

Co-expression of CMTM6 and PD-L1: a novel prognostic indicator of gastric cancer.

BACKGROUND: CKLF Like MARVEL Transmembrane Domain Containing 6 (CMTM6) is involved in the epigenetic regulation of genes and tumorigenesis. Programmed cell death ligand 1 (PD-L1) is closely related to the prognosis of some human cancers. CMTM6 is a key regulator of PD-L1 in many cancers. The purpose of this study was to investigate the expressions of these proteins in gastric cancer and the correlations with clinicopathological features and survival. METHODS: The expression levels of CMTM6 and PD-L1 were examined in 185 gastric cancer specimens using immunohistochemistry, quantitative real-time PCR and Western blot. Immunofluorescence was used to examine the localizations of CMTM6 and PD-L1. Chi-square test was used to analyze the relationship between CMTM6 and PD-L1 expressions and clinicopathological characteristics. Kaplan-Meier method and log-rank test were used to analyze the survival data of patients. RESULTS: The positive expression rates of CMTM6 and PD-L1 in gastric cancers were 78.38% (145/185) and 75.68% (140/185), respectively. CMTM6 and PD-L1 were both mainly expressed in the cell membrane and nucleus of gastric cancer tumor cells. High expression of CMTM6 and PD-L1 was correlated with Borrmann type (P < 0.001), N stage (P = 0.002), peritoneal metastasis (P = 0.007) and TNM stage (P = 0.038). CMTM6 and PD-L1 expression in gastric cancer tissues showed a positive correlation (Pearson's coefficient test, r = 0.260; P < 0.001). CMTM6 may positively regulate PD-L1 expression. High expression of CMTM6 was correlated with poor prognosis of gastric cancer patients (HR = 1.668; 95% CI = 1.032-2.695; P = 0.037). High expression of both CMTM6 and PD-L1 may be an independent factor for overall survival (HR = 1.554; 95% CI = 1.011-2.389; P = 0.044). CONCLUSION: The combined detection of CMTM6 and PD-L1 may be used as an indicator for judging the prognosis of gastric cancer patients.

Conditional survival after surgical resection of primary retroperitoneal tumors: a population-based study.

BACKGROUND: The purpose of this study was to assess conditional survival (CS) after resection of primary retroperitoneal tumors (RPTs). METHODS: The data of 1594 patients with primary RPTs who underwent surgery between 2004 and 2016 were retrieved from the Surveillance Epidemiology and End Results (SEER) database. Multivariate Cox analysis was used to identify prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS). CS was used to calculate the probability of survival for an additional 3 years after the patient had survived x years, according to the formulas: COS3 = OS (x + 3) /OS (x) and CCSS3 = CSS (x + 3)/CSS (x). RESULTS: The 1-, 3-, and 5-year OS rates of all patients were 89.8, 71.8, and 60.8%, while the 1-, 3-, and 5-year CSS rates were 91.9, 77.1, and 67.8%, respectively. Age, sex, FNCLCC grade, size, multifocality, histology, and chemotherapy were independent prognostic factors for OS and CSS. Among patients who survived for 1, 3, and 5 years, the COS3 rates were 72.9, 77.9, and 79.3%, and the CCSS3 rates were 78.1, 82.7, and 85.8%, respectively. Patients with poor clinicopathological characteristics achieved greater improvements in COS3 and CCSS3 rates, and the survival gaps between OS and COS3, as well as CSS and CCSS3 were more obvious. CONCLUSION: Postoperative CS of RPTs was dynamic and increased over time. CS increased more significantly in patients with poor clinicopathological characteristics.

Positive feedback loop SP1/SNHG1/miR-199a-5p promotes the malignant properties of thyroid cancer.

Abundant evidences have demonstrated the essential roles of long noncoding RNA (lncRNA) in the papillary thyroid cancer (PTC). Here, we aim to explore the biological roles of lncRNA SNHG1 in the PTC tumorigenesis. Firstly, we discovered the ectopically expressed ncRNAs using lncRNA microarray profiling. Among these candidate lncRNAs, SNHG1 was identified to be up-regulated in both PTC tissue and cells. Functionally, knockdown of SNHG1 repressed the proliferation, invasion and tumor growth in vitro and in vivo. Mechanistically, SNHG1 sponged miR-199a-5p by complementary binding with specificity protein 1 (SP1) 3'-UTR. Interestingly, transcription factor SP1 targeted the promoter region of SNHG1 to promote its transcriptional level. The interaction within lncRNA, miRNA and target mRNA constructed the feedback loop of SP1/SNHG1/miR-199a-5p/SP1 in PTC. Collectively, these findings unveil the potential regulation of SNHG1 on the PTC tumorigenesis via feedback loop, providing a novel insight for PTC.

Pattern recognition receptor-initiated innate antiviral responses in mouse epididymal epithelial cells.

Viral infections of the epididymis may impair male fertility and spread sexually transmitted pathogens. The innate antiviral immune responses in the epididymis have yet to be intensively investigated. This study found that mouse epididymal epithelial cells (EECs) constitutively express several viral sensors, including TLR3, retinoic acid-inducible gene I, and DNA-dependent activator of IFN regulatory factors. Other DNA sensors, including p204 and cGMP-AMP synthase, can be induced by transfection of synthetic HSV genomic DNA (HSV60). TLR3 and retinoic acid-inducible gene I in EECs can be activated by their common agonist, polyinosinic-polycytidylic acid [poly(I:C)]. The signaling pathway of DNA sensors can be initiated by HSV60. Both poly(I:C) and HSV60 induced the expression of type 1 IFNs and various antiviral proteins, including IFN-stimulated gene 15, 2',5'-oligoadenylate synthetase, and myxovirus resistance 1. Poly(I:C), but not HSV60, also dramatically induced the expression of major proinflammatory cytokines, including TNF-α and MCP-1, in EECs. In vivo assay confirmed that the local injection of poly(I:C) or HSV60 induced the innate antiviral responses in EECs. This study provided novel insights into the mechanisms underlying the innate antiviral responses in the mouse epididymis.

Giant circular dichroism and its reversal in solid and inverse plasmonic gammadion-shaped structures.

Chiral plasmonic structures have been shown to possess large circular dichroism (CD) responses. Here, we investigate the CD responses in a solid and inverse metallic structure composed of a stacked right-twisted gammadion metallic nanoparticle and a left-twisted gammadion nanoaperture array, where a giant circular dichroism is achieved. In addition, the sign of the CD responses can be reversed through the changes of the geometric parameters. Further analysis reveals that the Fabry-Perot (F-P) resonance of cross-polarization conversion of electric field governs the change of the CD. It can be envisioned that our findings will allow further tuning and manipulation of the CD responses for tailored circular polarized light-matter interaction.

[Identification of a novel JAG1 mutation in a family affected by Alagille syndrome].

Alagille syndrome (ALGS) is an autosomal dominant disorder which is mainly caused by JAG1 gene mutation and can affect multiple systems including the liver, heart, eyes, skeleton and face. This paper reports the clinical and genetic features of an ALGS patient. A 2-year-and-9-month-old boy was referred to the hospital with the complaint of abnormal liver function and heart murmur discovered over two years. Jaundice of the skin and sclera was not observed. The child had a prominent forehead, left esotropia, depressed nasal bridge and micromandible. The two lungs were clear on auscultation, but a systolic cardiac murmur of grade 2/6 could be heard between the 2nd and 3rd intercostal space at the left sternal border. Neither abdominal distension nor enlarged liver or spleen was discovered. X-ray radiography uncovered butterfly malformation of the 6th and 8th thoracic vertebrae. Serum biochemistry analysis revealed elevation of total bile acids, bilirubin and transaminases. Based on the clinical characteristics and the consultation opinion of the ophthalmologist, the child was diagnosed to have ALGS with Duane retraction syndrome. DNA direct sequencing detected a novel JAG1 mutation c.2419delG(p.Glu807AsnfsX819) in the child. Symptomatic and supportive therapy was performed thereafter and clinical follow-up was conducted until he was 4 years and 2 months. In the follow-up visits, his general condition remained stable, but the facial malformations, left esotropia, cardiac murmur and abnormal liver function persistend. The long-term outcome needed to be observed.

Polyinosinic-Polycytidylic Acid Perturbs Ovarian Functions Through Toll-Like Receptor 3-Mediated Tumor Necrosis Factor A Production in Female Mice.

Viral infections may perturb ovarian functions and female fertility. Mechanisms underlying viral perturbation of ovarian functions are incompletely understood. This study found that intraperitoneal injection of polyinosinic-polycytidylic acid [poly (I:C)] in female mice inhibits estradiol synthesis and induces ovarian granulosa cell apoptosis. Poly (I:C) is a synthetic viral double-stranded RNA analog, which induces innate antiviral responses mimicking a viral infection through activation of pattern recognition receptors, including toll-like receptor 3 (TLR3), retinoic acid-inducible gene I, and melanoma differentiation-associated gene 5. Injection of poly (I:C) significantly induced granulosa cell apoptosis in antral follicles and reduced antral follicle numbers. These effects were significantly diminished in Tlr3 knockout or tumor necrosis factor-alpha (Tnfa) knockout mice. We demonstrated that poly (I:C) induced TNFA production at a relatively high level in wild-type mice compared with that in Tlr3 knockout mice. Notably, TNFA neutralizing antibody significantly reduced poly (I:C)-induced ovarian dysfunction. In vitro assays confirmed that TNFA inhibits estradiol synthesis and induces granulosa cell apoptosis. Results provide novel insights into the mechanisms by which a mimicked viral infection perturbs ovarian functions in mice.

Roles of Toll-like receptors 2 and 4 in mediating experimental autoimmune orchitis induction in mice.

The mammalian testis is an immunoprivileged site where male germ cell antigens are immunologically tolerated under physiological conditions. However, some pathological conditions can disrupt the immunoprivileged status and induce autoimmune orchitis, an etiological factor of male infertility. Mechanisms underlying autoimmune orchitis induction are largely unknown. The present study investigated the roles of Toll-like receptor 2 (TLR2) and TLR4 in mediating the induction of experimental autoimmune orchitis (EAO) in mice after immunization with male germ cell antigens emulsified with complete Freund adjuvant. Wild-type mice developed severe EAO after three immunizations, which was characterized by leukocyte infiltration, autoantibody production, and impaired spermatogenesis. Tlr2 or Tlr4 deficient mice showed relatively low susceptibility to EAO induction compared with wild-type mice. Notably, Tlr2 and Tlr4 double knockout mice were almost completely protected from EAO induction. Moreover, we demonstrated that TLR2 was crucial in mediating autoantibody production in response to immunization. The results imply that TLR2 and TLR4 cooperatively mediate EAO induction.

Polyinosinic-polycytidylic acid initiates ovarian innate antiviral response and inhibits steroidogenesis in female mice.

Viral infection may perturb ovarian functions. However, innate antiviral response in the ovary has not been intensively investigated. In this study, we examined the innate antiviral system in the mouse ovary and the impacts of antiviral response on steroidogenesis. Major virus sensors, including Toll-like receptor 3 (TLR3), retinoic acid-inducible gene I, and melanoma differentiation-associated gene 5, are predominantly expressed in ovarian stromal and granulosa cells. Polyinosinic-polycytidylic acid (poly [I:C]) is a common agonist of TLR3, retinoic acid-inducible gene I, and melanoma differentiation-associated gene 5. Intraperitoneal injection of poly (I:C) activated nuclear factor kappa B and interferon (IFN) regulatory factor 3 in the ovarian cells and induced the expression of proinflammatory cytokines, including tumor necrosis factor alpha, interleukin 6, and type 1 IFNs (IFNA/B). Moreover, poly (I:C) upregulated the expression of several antiviral proteins, including 2'-5'-oligoadenylate synthetase, IFN-stimulated gene 15, and Mx GTPase 1. The innate antiviral response in the ovary was significantly reduced in Tlr3-deficient mice. Notably, we demonstrated that poly (I:C) injection inhibits steroidogenesis enzyme expression and decreases plasma estradiol and testosterone levels. The results show that the mouse ovary is equipped with innate antiviral state, and the antiviral response perturbs ovarian endocrine function.

Toll-like receptor 11-initiated innate immune response in male mouse germ cells.

Toxoplasma gondii and uropathogenic Escherichia coli (UPEC) may infect the testis and impair testicular function. Mechanisms underlying testicular innate immune response to these two pathogens remain to be clarified. The present study examined the function of TLR11, which can be recognized by T. gondii-derived profilin and UPEC, in initiating innate immune response in male mouse germ cells. TLR11 is predominantly expressed in spermatids. Profilin and UPEC induced the expressions of different inflammatory cytokine profiles in the germ cells. In particular, profilin induced the expressions of macrophage chemotactic protein 1 (MCP1), interleukin 12 (IL12), and interferon gamma (IFNG) through nuclear factor KB (NFKB) activation. UPEC induced the expressions of MCP1, IL12, and IFNG, as well as tumor necrosis factor alpha (TNFA), IL6, and IFNB, through the activation of NFKB, IFN regulatory factor 3, and mitogen-activated protein kinases. Evidence showed that profilin induced the innate response in male germ cells through TLR11 signaling, and UPEC triggered the response through TLR11 and other TLR-signaling pathways. We also provided evidence that local injection of profilin or UPEC induces the innate immune response in the germ cells. Data describe TLR11-mediated innate immune function of male germ cells in response to T. gondii profilin and UPEC stimulations. This system may play a role in testicular defense against T. gondii and UPEC infections in mice.

A new lymph node ratio-based staging system for rectosigmoid cancer: a retrospective study with external validation.

BACKGROUND: This study evaluated the clinical value of a new American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) staging prediction model based on lymph node ratio (LNR) in rectosigmoid cancer (RSC). METHODS: The analysis included 1444 patients with nonmetastatic RSC diagnosed pathologically between 2010 and 2016 who were collected from the National Cancer Institute Surveillance, Epidemiology, and Results database. The AJCC N-stage was redefined according to the LNR cutoff point, and the ability of the new staging system to predict prognosis was compared with that of the AJCC TNM staging system. Data from 739 patients from our hospital were used for external validation. RESULTS: According to the number of examined lymph nodes and LNR, the N stage was divided into five groups (LNR0-5). The 5-year OS of patients divided according to the new T lymph node ratio M (TLNRM) staging into stage I (T1LNR1, T1LNR2), IIA (T1LNR3, T2LNR1, T2LNR2, T2LNR3, T1LNR4, T3LNR1), IIB (T2LNR4), IIC (T3LNR2, T4a LNR1, T1LNR5), IIIA (T3LNR3, T2LNR5, T4b LNR1, T4a LNR2, T3LNR4), IIIB (T3LNR5, T4a LNR3, T4a LNR4, T4b LNR2), and IIIC (T4b LNR3, T4a LNR5, T4b LNR4, T4b LNR5) was significantly different ( P <0.05). Decision curve analysis showed that the net income of the new TLNRM staging system for different decision thresholds was higher than the prediction line of the traditional eighth TNM staging system. The smaller Akaike information criterion and Bayesian information suggested that the new staging system had a higher sensitivity for predicting prognosis than the traditional staging system. TLNRM II and III patients benefited from adjuvant chemotherapy, while adjuvant chemotherapy did not improve the prognosis of TNM II patients. These findings were confirmed by the external validation data. CONCLUSION: The new TLNRM staging system was superior to the eighth edition AJCC staging system for staging and predicting the prognosis of patients with RSC and may become an effective tool in clinical practice.

Prognostic Nomogram for Early Gastric Cancer After Surgery to Assist Decision-Making for Treatment With Adjuvant Chemotherapy.

Background: Most patients with early gastric cancer (EGC) can achieve a better 5-year survival rate after endoscopic resection or surgery. However, indications for adjuvant chemotherapy (ACT) after surgery have not yet been determined. Methods: A total of 4,108 patients with EGC diagnosed in 2004-2016 were retrospectively analyzed using the Surveillance, Epidemiology, and End Results (SEER) database. Of these, 3,521 patients received postoperative ACT and 587 patients did not. Propensity score matching was used to balance the two groups' confounding factors. Kaplan-Meier method was utilized to perform survival analysis. Log-rank test was used to compare the differences between survival curves. Cox proportional-hazards regression model was used to screen independent risk factors and build a nomogram for the non-ACT group. The X-tile software was employed to artificially divide all patients into low-, moderate-, and high-risk groups according to the overall survival score prediction based on the nomogram. A total of 493 patients with EGC diagnosed between 2010 and 2014 in our hospital were included for external validation. Results: Multivariate analysis found that age, sex, race, marital status, primary site, surgical extent, and metastatic lymph node ratio in the non-ACT group were independent prognostic factors for EGC and were included in the construction of the nomogram. The model C-index was 0.730 (95% confidence interval: 0.677-0.783). The patients were divided into three different risk groups based on the nomogram prediction score. Patients in the low-risk group did not benefit from ACT, while patients in the moderate- and high-risk groups did. External validation also demonstrated that moderate- and high-risk patients benefited from ACT. Conclusion: The study nomogram can effectively evaluate postoperative prognosis of patients with EGC. Postoperative ACT is therefore recommended for moderate- and high-risk patients, but not for low-risk patients.

Analysis of the risk factor of insufficient examined lymph nodes in stage II colon cancer from the perspective of stage migration: A retrospective study combined with external validation.

BACKGROUND: An insufficient examined lymph node (ELN) count is a high risk factor for recurrence in patients with stage II colon cancer (CC). This study aimed to explore this risk factor in relation to stage migration. METHODS: We screened 18,544 patients with stage II (pT3/4N0M0) and IIIB (pT3/4N1M0) CC diagnosed after radical resection from 2010 to 2015, using the National Cancer Institute Surveillance, Epidemiology, and End Results database. Propensity score matching was used to balance confounding factors for short-term and long-term survival, and survival analysis was carried out using the Kaplan-Meier method and log-rank test. The optimal cutoff for the number of ELNs in patients with stage II CC was determined using X-tile software. Independent prognostic factors were screened using Cox proportional hazards regression analysis. Finally, the results were externally validated in 318 patients with stage Ⅱ and ⅢB CC in our hospital from 2013 to 2015. RESULTS: The best cutoff value for the number of ELNs in patients with stage II CC was 14. Multivariate analysis identified age, grade, histology, tumor size, T stage, N stage, ELN count, and chemotherapy as independent prognostic factors, and the Akaike and Bayesian information criteria values for the prognostic value of ELN count were relatively small. Patients with stage II CC with <15 ELNs had similar prognoses to patients with stage ⅢB CC (P = 0.939). Subgroup analysis and external validation yielded similar results. CONCLUSION: Patients with stage II CC should be considered as stage ⅢB if the ELN count is insufficient.

Identification of cuproptosis related subtypes and construction of prognostic signature in gastric cancer.

Cuprotosis is a novel mechanism of cell death that differs from known mechanisms, which depends on mitochondrial respiration and is closely related to lipoylated components of the tricarboxylic acid (TCA) cycle. However, it is unclear whether cuprotosis-related genes (CRGs) affect the tumor microenvironment (TME) and prognosis of patients with gastric cancer. In this study, the genetic and transcriptional characteristics of CRGs in gastric cancer (GC) were analyzed, and five CRGs that were differentially expressed and correlated with the survival of patients were obtained. Two different molecular subtypes were identified according to the five CRGs. Then, we constructed a CRG_score applied to patients of any age, gender, and stage. Subsequently, we found that cluster B and a high CRG_score had a worse prognosis, fewer immune checkpoints, and higher tumor immune dysfunction and exclusion (TIDE) compared to cluster A and a low CRG_score. In addition, two subtypes and the CRG_score were closely associated with clinicopathological characteristics, human leukocyte antigens (HLAs) and TME cell infiltration. A high CRG_score was featured with decreased microsatellite instability-high (MSI-H) and mutational burden. Meanwhile, the CRG_score was significantly related to the cancer stem cell (CSC) index and chemotherapeutic response. Moreover, we developed a nomogram to predict the survival probability of patients. Our study explained the role of CRGs in GC, and the prognostic signature could potentially provide an approach for personalized tumor therapy.

Towards a fast and generalized microplastic quantification method in soil using terahertz spectroscopy.

Extensive investigation of microplastic abundance in soil environment calls for rapid, accurate, efficient and harmonized quantification methods. Development of rapid quantification method requires made-to-measure soil samples with additions of standard polymers. Existing rapid quantification methods ignore the gap between standard polymers in laboratory and household microplastics in soil environment. Here, terahertz (0.6-1.67 thz) and NIR (950-1660 nm) spectroscopy were compared to explore a fast, accurate and potentially generalizable microplastic quantification method in soil. Soil sample was spiked with two standard polymers (polyvinyl chloride (PVC) and polystyrene (PS)) and their additive-containing household microplastics. Two standard sample sets and two household sample sets were prepared in concentrations ranging from 0.5 to 10%. Nine commonly used preprocessing methods and three machine learning algorithms were coupled to develop methods. Models were constructed by training sets from standard sample sets. When models transferred to household samples, prediction error (RMSE) of proposed terahertz method (Wdenosie_PLSR) only increased by 0.4% for PVC and 0.19% for PS, yet that of the NIR method increased by 1.49% and 1.16% respectively. The proposed terahertz method presented a detection limit around 1.12% and the NIR method showed a detection limit around 3.24%. Overall, our results suggest that compared with NIR method, the proposed terahertz method is not only more accurate but also demonstrate stronger generalizability to bridge the gaps between standard PVC/PS polymers and household PVC/PS microplastics. We also propose MMD heatmap for diagnosing spectral preprocessing methods to further improve method efficiency.

The SKA3-DUSP2 Axis Promotes Gastric Cancer Tumorigenesis and Epithelial-Mesenchymal Transition by Activating the MAPK/ERK Pathway.

Background: Spindle and kinetochore-related complex subunit 3 (SKA3), a member of the SKA family of proteins, is associated with the progression of multiple cancers. However, the role of SKA3 in gastric cancer has not been studied. Methods: The expression levels of SKA3 and dual-specificity phosphatase 2 (DUSP2) proteins were detected by immunohistochemistry. The effects of SKA3 and DUSP2 on the proliferation, migration, invasion, adhesion, and epithelial-mesenchymal transition of gastric cancer were studied in vitro and in vivo. Results: Immunohistochemical analysis of 164 cases of gastric cancer revealed that high expression of SKA3 was negatively correlated with DUSP2 expression and related to N stage, peritoneal metastasis, and poor prognosis. In vitro studies showed that silencing SKA3 expression inhibited the proliferation, migration, invasion, adhesion and epithelial-mesenchymal transition of gastric cancer. In vivo experiments showed that silencing SKA3 inhibited tumor growth and peritoneal metastasis. Mechanistically, SKA3 negative regulates the tumor suppressor DUSP2 and activates the MAPK/ERK pathway to promote gastric cancer. Conclusion: Our results indicate that the SKA3-DUSP2-ERK1/2 axis is involved in the regulation of gastric cancer progression, and SKA3 is a potential therapeutic target for gastric cancer.

Improving the Energetic Stability and Electrocatalytic Performance of Au/WSSe Single-Atom Catalyst with Tensile Strain.

In the areas of catalysis and renewable energy conversion, the development of active and stable electrocatalysts continues to be a highly desirable and crucial aim. Single-atom catalysts (SACs) provide isolated active sites, high selectivity, and ease of separation from reaction systems, becoming a rapidly evolving research field. Unfortunately, the real roles and key factors of the supports that govern the catalytic properties of SACs remain uncertain. Herein, by means of the density functional theory calculations, in the Au/WSSe SAC, built by filling the single Au atom at the S vacancy site in WSSe monolayer, we find that the powerful binding between the single Au atom and the support is induced by the Au d and W d orbital hybridization, which is caused by the electron transfer between them. The extra tensile strain could further stabilize the Au/WSSe by raising the transfer electron and enhancing the orbital hybridization. Moreover, by dint of regulating the antibonding strength between the single Au atom and H atom, the extra tensile strain is capable of changing the electric-catalytic hydrogen evolution reaction (HER) performance of Au/WSSe as well. Remarkably, under the 1% tensile strain, the reaction barrier (0.06 eV) is only one third of that of free state. This theoretical work not only reveals the bonding between atomic sites and supports, but also opens an avenue to improve the electric-catalytic performance of SACs by adjusting the bonding with outer factors.

Transfer learning strategy for plastic pollution detection in soil: Calibration transfer from high-throughput HSI system to NIR sensor.

Rapid detection tasks in soil environment are generally implemented by various spectrometers and chemometric models. To reduce costs for model construction, calibration transfer from laboratory spectral instruments to portable devices has recently received extensive attention. In different application cases of model transference, most conventional methods require extra time to tune hyperparameters and to select calibration transfer techniques. Based on the near-infrared (NIR) analytical technique, this work aimed at exploring a transfer learning strategy to detect plastic pollution levels in the soil by transferring the model from a high-throughput hyperspectral image (HSI) system to an ultra-portable NIR sensor. Transfer learning was explored to diagnose the proper calibration transfer algorithm and construct the transferable model. For transferable model construction, conventional calibration transfer algorithms (Direct Standardization (DS) or Repeatability file (Repfile)) served as a pre-processing step, and non-parametric transfer learning algorithm (Easy Transfer Learning (EasyTL)) was explored in the modeling step. Supporting vector machine (SVM) was carried out as a typical modeling algorithm for comparison. For transformation algorithms selection, a distance metric algorithm, maximum mean discrepancy (MMD), was performed on spectral feature matrices before and after DS or Repfile transformation. On three transfer tasks, the results indicated that the Repfile-EasyTL model was a promising solution with higher accuracy, much lower time costs, less parameters, and dependency on the increase of standard samples than other models (SVM, DS-SVM, Repfile-SVM, EasyTL, DS-EasyTL). Moreover, MMD distance presented the great potential to serve as an indicator to vote the optimal calibration transfer algorithm before the modeling step.

A Prognostic Nomogram for T3N0 Rectal Cancer After Total Mesorectal Excision to Help Select Patients for Adjuvant Therapy.

BACKGROUND: The recurrence rate of T3N0 rectal cancer after total mesorectal excision (TME) is relatively low, meaning that not all patients need adjuvant therapy (AT) (radiotherapy, chemotherapy, or chemoradiotherapy). METHODS: Patients diagnosed with pT3N0M0 rectal cancer after TME were analyzed using the SEER database, of which 4367 did not receive AT and 2794 received AT. Propensity score matching was used to balance the two groups in terms of confounding factors. Cox proportional hazards regression analysis was used to screen independent prognostic factors, which were then used to establish a nomogram. The patients were then divided into three groups with X-tile software according to their risk scores. We enrolled 334 patients as external validation. RESULTS: The C-index of the model was 0.725 (95% confidence interval: 0.694-0.756). We divided the patients into three different risk layers based on the nomogram prediction scores, and found that AT did not improve the prognosis of low- and moderate-risk patients, while high-risk patients benefited from AT. External validation data also support the above conclusions. CONCLUSION: This study developed a nomogram that effectively and comprehensively evaluates the prognosis of T3N0 rectal cancer patients after TME. After using the nomogram, we recommend AT for high-risk patients, but not for low- and moderate-risk patients.