How automated machines influence employment in manufacturing enterprises?

This paper theoretically analyzes and empirically examines the impact and mechanisms of automated machines on employment in manufacturing enterprises, drawing on task-based model and using micro data from listed Chinese manufacturing enterprises between 2012 and 2019. Our findings reveal that: (1) Automated machines in manufacturing enterprises leads to a substitution effect on the total labor force, with a substitution effect on low-skilled labor and a creation effect on high-skilled labor in terms of employment structure. (2) Further analysis indicates that automated machines primarily have a positive effect on R&D and technical staff, a non-significant effect on sales staff, and a negative impact on production, administrative, and financial staff. (3) The primary influencing mechanisms of automated machines on employment in manufacturing firms are productivity effects and output scale effects, based on the mediation effect model. (4) Considering the industry linkage effect, we employ the input-output method and the Input-Output Table and find that automated machines for upstream (downstream) manufacturing enterprises will result in a substitution effect on employment for downstream (upstream) enterprises. The novelties and research contributions are as follows: (1) we conduct a structural decomposition of total employment, and further decompose employment positions into production, R&D, sales, finance, and administration. (2) We try to investigate the industry linkage effect about the impact of automated machines on the employment of upstream and downstream enterprises. (3) We use data from listed manufacturing companies, and the data of existing research are about provincial and industry-level data.

Comparison of short-term efficacy analysis of medium-rectal cancer surgery with robotic natural orifice specimen extraction and robotic transabdominal specimen extraction.

BACKGROUND: With the development of minimally invasive technology, the trauma caused by surgery get smaller, At the same time, the specimen extraction surgery through the natural orifice is more favored by experts domestically and abroad, robotic surgery has further promoted the development of specimen extraction surgery through the natural orifice. The aim of current study is to compare the short-term outcomes of robotic-assisted natural orifice specimen extraction (NOSES ) and transabdominal specimen extraction(TRSE ) in median rectal cancer surgery. METHODS: From January 2020 to January 2023, 87 patients who underwent the NOSES or TRSE at the First Affiliated Hospital of Nanchang University were included in the study, 4 patients were excluded due to liver metastasis. Of these, 50 patients were in the TRSE and 33 patients in the NOSES. Short-term efficacy was compared in the two groups. RESULTS: The NOSES group had less operation time (P < 0.001), faster recovery of gastrointestinal function (P < 0.001), shorter abdominal incisions (P < 0.001), lower pain scores(P < 0.001). lower Inflammatory indicators of the white blood cell count and C-reactive protein content at 1, 3, and 5 days after surgery (P < 0.001, P = 0.037). There were 9 complications in the NOSES group and 11 complications in the TRSE group(P = 0.583). However, there were no wound complications in the NOSES group. The number of postoperative hospital stays seems to be same in the two groups. And there was no significant difference in postoperative anus function (P = 0.591). CONCLUSIONS: This study shows that NOSES and TRSE can achieve similar radical treatment effects, NOSES is a feasible and safe way to take specimens for rectal cancer surgery in accordance with the indication for NOSES.

Stratifin Promotes Hepatocellular Carcinoma Progression by Modulating the Wnt/ß-Catenin Pathway.

Abnormal stratifin (SFN) expression is closely related to the progression of several human cancers, but the potential roles of SFN in hepatocellular carcinoma (HCC) remain largely unknown. In this study, we found that SFN was upregulated in HCC cell lines and tissues and was positively associated with tumor size, poor differentiation, Tumor Node Metastasis (TNM) stage, and vascular invasion. In addition, high expression levels of SFN were associated with poor overall survival and disease-free survival. Biologically, downregulation of SFN suppressed tumor cell proliferation, epithelial-mesenchymal transition (EMT), invasion, and migration in vitro and tumor growth in vivo. However, overexpression of SFN promoted cell proliferation, EMT, invasion, and migration in vitro and tumor growth in vivo. Mechanistically, overexpression of SFN activated the Wnt/ß-catenin pathway by promoting Glycogen synthase kinase-3 beta (GSK-3ß) phosphorylation, decreasing ß-catenin phosphorylation, promoting ß-catenin transport into the nucleus, and enhancing the expression of c-Myc, whereas depletion of SFN inhibited the Wnt/ß-catenin pathway. In addition, TOPFlash/FOPFlash reporter assays showed that overexpression or downregulation of SFN obviously increased or decreased, respectively, the activity of the Wnt/ß-catenin pathway. Our results indicated that SFN plays an important role in HCC, possibly providing a prognostic factor and therapeutic target for HCC.

Comparison of robotic-assisted and laparoscopic-assisted natural orifice specimen extraction surgery in short-terms outcomes of middle rectal cancer.

BACKGROUND: Surgery is becoming less invasive as technology advances. Natural orifice specimen extraction surgery (NOSES) ushered in a new era of minimally invasive techniques. At the same time, NOSES is gaining popularity in the world. With their distinct advantages, surgical robots have advanced the development of NOSES. The aim of current study was to compare the short-term outcomes between robotic-assisted NOSES and laparoscopic-assisted NOSES for the treatment of middle rectal cancer. METHODS: Patients with middle rectal cancer who underwent robotic-assisted or laparoscopic-assisted NOSES at the First Affiliated Hospital of Nanchang University between January 2020 and June 2022 had their clinicopathological data collected retrospectively. 46 patients were enrolled in the study: 23 in the robotic group and 23 in the laparoscopic group. Short-term outcomes and postoperative anal function in the two groups were compared. RESULTS: There was no significant difference in the clinicopathological data between the two groups. The robotic group had less intraoperative blood loss (p = 0.04), less postoperative abdominal drainage (p = 0.02), lower postoperative white blood cell counts (p = 0.024) and C-reactive protein levels (p = 0.017), and shorter catheter removal time when compared to the laparoscopic group (p = 0.003). Furthermore, there were no significant difference in mean operative time (159 ± 31 min vs 172 ± 41 min) between the robotic and laparoscopic groups (p = 0.235), but time to naked the rectum (86.4 ± 20.9 min vs. 103.8 ± 31.5 min p = 0.033) and time of digestive tract reconstruction (15.6 ± 3.88 min vs. 22.1 ± 2.81 min p < 0.01) in the robotic group were significantly shorter than laparoscopic group. The robotic group had lower postoperative Wexner scores than the laparoscopic group. CONCLUSIONS: This research reveals that combining a robotic surgical system and NOSES results in superior outcomes, with short-term outcomes preferable to laparoscopic-assisted NOSES.

Transvaginal versus transabdominal specimen extraction surgery for right colon cancer: A propensity matching study.

Background: The transvaginal route for specimen extraction is considered ideal for colorectal surgery, but its safety is still questioned. There has been little research on transvaginal natural orifice specimen extraction surgery (NOSES) in the right hemicolectomy. As a result, we conducted a study comparing transvaginal NOSES to traditional transabdominal specimen extraction surgery. Patients and methods: Data on female patients who underwent radical right hemicolectomy at the First Affiliated Hospital of Nanchang University between January 2015 and December 2020 were collected retrospectively. A total of 847 patients were compliant, with 51 undergoing the transvaginal specimen extraction surgery (NOSES) group and 796 undergoing the transabdominal specimen extraction surgery (TISES) group. A propensity score matching method (1:2) was used to balance the clinicopathological characteristics of the two groups. Results: Finally, 138 patients were enrolled in our study, with 46 in the NOSES group and 92 in the TISES group. Compared to the TISES group, the NOSES group had less intraoperative blood loss (p = 0.036), shorter time to first flatus (p < 0.001), shorter time to first liquid diet (p < 0.001), lower postoperative white blood cell counts (p = 0.026), lower C-reactive protein levels (p = 0.027), and lower visual analog scale (VAS) scores (p < 0.001). Regarding the quality of life after surgery, the NOSES group had better role function (p < 0.01), emotional function (p < 0.001), and improved symptoms of postoperative pain (p < 0.001) and diarrhea (p = 0.024). The scar satisfaction was significantly higher in the NOSES group than in the TISES group. Overall survival and disease-free survival in two groups were similar. Conclusion: The short-term results of transvaginal NOSES were superior to conventional transabdominal specimen extraction surgery. At the same time, transvaginal NOSES could improve the abdominal wall appearance and quality of life. The long-term survival was similar in the two surgical approaches. Therefore, transvaginal NOSES is worthy of our implementation and promotion.

A nomogram and risk classification system forecasting the cancer-specific survival of lymph- node- positive rectal cancer patient after radical proctectomy.

Background: The aim of the study was to develop and validate a nomogram for predicting cancer-specific survival (CSS) in lymph- node- positive rectal cancer patients after radical proctectomy. Methods: In this study, we analyzed data collected from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. In addition, in a 7:3 randomized design, all patients were split into two groups (development and validation cohorts). CSS predictors were selected via univariate and multivariate Cox regressions. The nomogram was constructed by analyzing univariate and multivariate predictors. The effectiveness of this nomogram was evaluated by concordance index (C-index), calibration plots, and receiver operating characteristic (ROC) curve. Based on the total score of each patient in the development cohort in the nomogram, a risk stratification system was developed. In order to analyze the survival outcomes among different risk groups, Kaplan-Meier method was used. Results: We selected 4,310 lymph- node- positive rectal cancer patients after radical proctectomy, including a development cohort (70%, 3,017) and a validation cohort (30%, 1,293). The nomogram correlation C-index for the development cohort and the validation cohort was 0.702 (95% CI, 0.687-0.717) and 0.690 (95% CI, 0.665-0.715), respectively. The calibration curves for 3- and 5-year CSS showed great concordance. The 3- and 5-year areas under the curve (AUC) of ROC curves in the development cohort were 0.758 and 0.740, respectively, and 0.735 and 0.730 in the validation cohort, respectively. Following the establishment of the nomogram, we also established a risk stratification system. According to their nomogram total points, patients were divided into three risk groups. There were significant differences between the low-, intermediate-, and high-risk groups (p< 0.05). Conclusions: As a result of our research, we developed a highly discriminatory and accurate nomogram and associated risk classification system to predict CSS in lymph-node- positive rectal cancer patients after radical proctectomy. This model can help predict the prognosis of patients with lymph- node- positive rectal cancer.

A New Strategy for the Rapid Identification and Validation of the Direct Targets of Aconitine-Induced Cardiotoxicity.

BACKGROUND: The interaction of small molecules with direct targets constitutes the molecular initiation events of drug efficacy and toxicity. Aconitine, an active compound of the Aconitum species, has various pharmacological effects but is strongly toxic to the heart. The direct targets of aconitine-induced cardiotoxicity remain unclear. METHODS: We predicted the toxic targets of aconitine based on network pharmacology and followed a novel proteomic approach based on the "drug affinity responsive target stability" technology combined with LC-MS/MS to identify the direct targets of aconitine. The identified targets were analysed from the perspective of multilevel and multidimensional bioinformatics through a network integration method. The binding sites were investigated via molecular docking to explore the toxicity mechanism and predict the direct targets of aconitine. Finally, atomic force microscopy (AFM) imaging was performed to verify the affinity of aconitine to the direct targets. RESULTS: PTGS2, predicted by network pharmacology as a toxic target, encodes cyclooxygenase 2 (COX-2), which is closely related to myocardial injury. Furthermore, cytosolic phospholipase A2 (cPLA2) is the upstream signal protein of PTGS2, and it is a key enzyme in the metabolism of arachidonic acid during an inflammatory response. We determined cPLA2 as a direct target, and AFM imaging verified that aconitine could bind to cPLA2 well; thus, aconitine may cause the expression of PTGS2/COX-2 and release inflammatory factors, thereby promoting myocardial injury and dysfunction. CONCLUSION: We developed a complete set of methods to predict and verify the direct targets of aconitine, and cPLA2 was identified as one. Overall, the novel strategy provides new insights into the discovery of direct targets and the molecular mechanism of toxic components that are found in traditional Chinese medicine.

Research on the investment efficiency based on grey correlation-DEA model.

Small and medium-sized enterprises (SMEs) are an important part of stimulating market vitality. In the post-pandemic era, the ability of SMEs to absorb employment plays an important role in stabilizing society and promoting economic growth. This paper selects 226 sample data from 2014 to 2017 measures the investment efficiency of small and medium-sized enterprises and makes a further analysis its influencing factors. Because there is a lag between investment and output. In this paper, the grey correlation analysis is used. Measuring the investment efficiency of SMEs by using BBC-DEA method. The study found that the overall investment efficiency of SMEs is low. Considering from the inside of the enterprise, this paper uses the Tobit model to make an empirical analysis. It is found that the influence of board structure and agency cost on investment efficiency are significantly negative. Growth, ownership concentration, equity incentive, salary incentive, profitability of SMEs have a significant positive effect on the investment efficiency of enterprises.

Study on Hepatotoxicity of Rhubarb Based on Metabolomics and Network Pharmacology.

BACKGROUND: Rhubarb, as a traditional Chinese medicine, is the preferred drug for the treatment of stagnation and constipation in clinical practice. It has been reported that rhubarb possesses hepatotoxicity, but its mechanism in vivo is still unclear. METHODS: In this study, the chemical components in rhubarb were identified based on UPLC-Q-TOF/MS combined with data postprocessing technology. The metabolic biomarkers obtained through metabolomics technology were related to rhubarb-induced hepatotoxicity. Furthermore, the potential targets of rhubarb-induced hepatotoxicity were obtained by network pharmacology involving the above components and metabolites. Meanwhile, GO gene enrichment analysis and KEGG pathway analysis were performed on the common targets. RESULTS: Twenty-eight components in rhubarb were identified based on UPLC-Q-TOF/MS, and 242 targets related to rhubarb ingredients were predicted. Nine metabolic biomarkers obtained through metabolomics technology were closely related to rhubarb-induced hepatotoxicity, and 282 targets of metabolites were predicted. Among them, the levels of 4 metabolites, namely dynorphin B (10-13), cervonoyl ethanolamide, lysoPE (18:2), and 3-hydroxyphenyl 2-hydroxybenzoate, significantly increased, while the levels of 5 metabolites, namely dopamine, biopterin, choline, coenzyme Q9 and P1, P4-bis (5'-uridyl) tetraphosphate significantly decreased. In addition, 166 potential targets of rhubarb-induced hepatotoxicity were obtained by network pharmacology. The KEGG pathway analysis was performed on the common targets to obtain 46 associated signaling pathways. CONCLUSION: These data suggested that rhubarb may cause liver toxicity due to its action on dopamine D1 receptor (DRD1), dopamine D2 receptor (DRD2), phosphodiesterase 4B (PDE4B), vanilloid receptor (TRPV1); transient receptor potential cation channel subfamily M member 8 (TRPM8), prostanoid EP2 receptor (PTGER2), acetylcholinesterase (ACHE), muscarinic acetylcholine receptor M3 (CHRM3) through the cAMP signaling pathway, cholinergic synapses, and inflammatory mediators to regulate TRP channels. Metabolomics technology and network pharmacology were integrated to explore rhubarb hepatotoxicity to promote the reasonable clinical application of rhubarb.

Rapid classification and identification of chemical constituents in Epimedium koreanum Nakai by UPLC-Q-TOF-MS combined with data post-processing techniques.

INTRODUCTION: Epimedium koreanum Nakai (EKN), is a well-known Chinese herbal medicine for the treatment of osteoporosis, immunosuppression, tumours and cardiovascular diseases. Comprehensive component identification is essential for elucidation of its pharmacological mechanism and quality control. However, its complex chemical composition has caused certain difficulties in the analysis of this traditional Chinese medicine (TCM). Therefore, there is an urgent need to establish a method for rapid classification and identification of EKN chemical components. OBJECTIVE: To establish a method for rapid classification and identification of the main components of flavonoids, organic acids and alkaloids in EKN. METHODS: The samples were analysed by ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) and data post-processing techniques. The UPLC system used a BEH C18 column to separate the total extract of EKN. The mobile phase consisted of 0.1% formic acid in water and acetonitrile, and the EKN extract was analysed by gradient elution at a flow rate of 0.4 mL/min. In both the positive and negative ion modes, the fragment information was obtained and compared with those of the characteristic fragmentations and neutral losses described in the literature to quickly identify the target compounds. RESULTS: Finally, we successfully screened out 51 chemical components, including 40 flavonoids, nine organic acids, and two alkaloids. CONCLUSION: The established method not only comprehensively analysed the chemical compositions of EKN, solved the difficult problems of analysis and identification of the complex chemical compositions of the TCM, but also further promoted the development of the application of chemical compositions of TCM.

Exploration the Mechanism of Doxorubicin-Induced Heart Failure in Rats by Integration of Proteomics and Metabolomics Data.

Heart failure is a common systemic disease with high morbidity and mortality worldwide. Doxorubicin (DOX) is a commonly used anthracycline broad-spectrum antitumor antibiotic with strong antitumor effect and definite curative effect. However, cardiotoxicity is the adverse reaction of drug dose cumulative toxicity, but the mechanism is still unclear. In this study, proteomics and metabonomics techniques were used to analyze the tissue and plasma of DOX-induced heart failure (HF) in rats and to clarify the molecular mechanism of the harmful effects of DOX on cardiac metabolism and function in rats from a new point of view. The results showed that a total of 278 proteins with significant changes were identified by quantitative proteomic analysis, of which 118 proteins were significantly upregulated and 160 proteins were significantly downregulated in myocardial tissue. In the metabonomic analysis, 21 biomarkers such as L-octanoylcarnitine, alpha-ketoglutarate, glutamine, creatine, and sphingosine were detected. Correlation analysis showed that DOX-induced HF mainly affected phenylalanine, tyrosine, and tryptophan biosynthesis, D-glutamine and D-glutamate metabolism, phenylalanine metabolism, biosynthesis of unsaturated fatty acids, and other metabolic pathways, suggesting abnormal amino acid metabolism, fatty acid metabolism, and glycerol phospholipid metabolism. It is worth noting that we have found the key upstream target of DOX-induced HF, PTP1B, which inhibits the expression of HIF-1α by inhibiting the phosphorylation of IRS, leading to disorders of fatty acid metabolism and glycolysis, which together with the decrease of Nrf2, SOD, Cytc, and AK4 proteins lead to oxidative stress. Therefore, we think that PTP1B may play an important role in the development of heart failure induced by doxorubicin and can be used as a potential target for the treatment of heart failure.

Techniques and Strategies for Potential Protein Target Discovery and Active Pharmaceutical Molecule Screening in a Pandemic.

Viruses remain a major challenge in the fierce fight against diseases. There have been many pandemics caused by various viruses throughout the world over the years. Recently, the global outbreak of COVID-19 has had a catastrophic impact on human health and the world economy. Antiviral drug treatment has become another essential means to overcome pandemics in addition to vaccine development. How to quickly find effective drugs that can control the development of a pandemic is a hot issue that still needs to be resolved in medical research today. To accelerate the development of drugs, it is necessary to target the key target proteins in the development of the pandemic, screen active molecules, and develop reliable methods for the identification and characterization of target proteins based on the active ingredients of drugs. This article discusses key target proteins and their biological mechanisms in the progression of COVID-19 and other major epidemics. We propose a model based on these foundations, which includes identifying potential core targets, screening potential active molecules of core targets, and verifying active molecules. This article summarizes the related innovative technologies and methods. We hope to provide a reference for the screening of drugs related to pandemics and the development of new drugs.

Stepwise rapid tracking strategy to identify active molecules from Ixeris sonchifolia Hance based on "'affinity mass spectrometry-atomic force microscopy imaging'" technology.

In this study, a novel stepwise rapid tracking strategy was reported to identify the active molecules from Ixeris sonchifolia Hance (IsH) in the treatment of coronary heart disease (CHD) based on "affinity mass spectrometry (MS)-atomic force microscopy (AFM) imaging" technology. First, vascular endothelial growth factor receptor 2 (VEGFR2) of the vascular endothelial growth factor (VEGF) signal transduction pathway located on the cell membrane was revealed to be the core target protein in CHD treatment through network pharmacology and bioinformatics. In addition, affinity MS screening based on VEGFR2 identified isochlorogenic acid A and luteolin-7-O-glucuronide as having stronger affinity with VEGFR2. Then, the active molecule was elucidated based on the observation that its actions accompanied the molecular morphological changes by AFM imaging and it could act on the binding pocket of VEGFR2 through molecular docking which further demonstrated the analysis and inference of AFM imaging. The methyl thiazolyl tetrazolium (MTT) assay finally confirmed that the active molecules specifically combined with the potential core target protein to protect the viability of cardiomyocytes, which identified the main potential active molecules in IsH for the treatment of CHD and provided a possible mechanism for the protective role of the drug. The technology established in this study could facilitate the rapid tracing of potential active molecules in traditional Chinese medicine (TCM), which would provide further a reference for research on quality, molecular mechanisms and new drugs.

Establishing a rapid classification and identification method for the major triterpenoids of Alisma orientale.

INTRODUCTION: Alismatis Rhizoma (AR) has been widely used to treat various diseases. Its complex chemical composition has caused certain difficulties in the analysis of this traditional Chinese medicine. Therefore, it is necessary to establish a method for the rapid classification and identification of the chemical constituents of AR. OBJECTIVE: This article describes a method for the rapid classification and identification of major triterpenoids in AR. METHODOLOGY: The samples were analysed by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). The assay was performed on a Waters ACQUITY UPLC BEH C18 column (100 mm × 2.1 mm, 1.7 µm) with 0.1% formic acid in water (A), and acetonitrile (B) as mobile phase by gradient elution at a flow rate of 0.3 mL/min. In the positive ion mode, the fragment information was obtained and compared with the characteristic fragments and neutral losses described in the literature. Then, the rapid classification and identification of the chemical components from AR were achieved. RESULTS: Finally, 25 triterpene compounds of AR were identified. CONCLUSIONS: The method established in this study achieved the rapid classification and identification of chemical components in AR, which promotes the development of research methods to study the constituents of traditional Chinese medicine.

Effects of breeds and dietary protein levels on the growth performance, energy expenditure and expression of avUCP mRNA in chickens.

The physiological mechanisms of thermogenesis, energy balance and energy expenditure are poorly understood in poultry. The aim of this study was designed to investigate the physiological roles of avian uncoupling protein (avUCP) regulating in energy balance and thermogenesis by using three chicken breeds of existence striking genetic difference and feeding with different dietary protein levels. Three chicken breeds including broilers, hybrid chickens, and non-selection Wuding chickens were used in this study. Total 150 chicks of 1 day of age, with 50 from each breed were reared under standard conditions on starter diets to 30 days. At 30 days of age, forty chicks from each breed chicks were divided into two groups. One group was fed low protein diet (LP, 17.0 %), and the other group was fed high protein diet (HP, 19.5 %) for 60 days. Wuding chickens showed the lowest feed conversion efficiency (FCE) and the highest expressions of avUCP mRNA association with high plasma T3 and insulin concentrations. Hybrid chickens showed the lowest expressions of avUCP mRNA association with high FCE and energy efficiency. Expressions of avUCP mRNA association with diet-induced thermogenesis (DIT) were only observed in broiler and hybrid chickens. The expressions of avUCP mRNA were positive association with plasma insulin, T3 and NEFA concentrations. Age influence on the expression of avUCP mRNA were observed only for hybrid and broiler chickens. It seems that both roles of avUCP regulation thermogenesis and lipid utilisation as fuel were observed in the present study response to variation in dietary protein and breeds.