Research on staggered distance of upper and lower coal seam cooperative mining face based on subsidence prediction

In order to study the safe staggered distance of the same mining face of the upper and lower coal seams, which does not belong to the category of contugous coal seams, taking the collaborative mining face of Yitian Coal Industry No. 2 Coal Seam (overlying coal seam) and No. 11 Coal Seam (underlying coal seam) of Lu'an Group as the engineering background, based on the roof collapse characteristics of the underlying coal seam stope and the theoretical analysis results of “three vertical zones”, the scientific problem to be solved under the condition of downward cooperative mining is that the mining activities of the underlying coal seam can not affect the safety production of the overlying coal seam. A probability-integrated mining subsidence prediction model was established to explore the influence range of mining in the underlying No. 11 coal seam working face on the subsidence of the overlying No. 2 coal seam floor under full mining conditions. The subsidence of 10 mm, inclination of 3 mm/m, curvature of 0.08×10−3 /m and horizontal deformation of 2 mm/m were taken as the safety impact threshold of the mining of the underlying coal seam on the overlying coal seam. The criterion is that the working face of the overlying coal seam is located outside the mining subsidence range of the working face of the lower coal seam. Considering the safety factor of 1.5 times, it is concluded that the reasonable strike dislocation distance of upper and lower coal seams is 96.2 m, the ground pressure appearance of the overlying 2# coal seam working face and its mining roadway is monitored, and the ground pressure law is compared and analyzed with that of single layer mining under the same conditions. Engineering practice shows that during the coordinated mining process of No. 2 coal seam and No. 11 coal seam, based on the mining subsidence range caused by the full mining conditions of the No. 11 coal seam, the determined staggered distance of the same mining face in the upper and lower coal seams is reasonable and reliable. The overlying No. 2 coal seam working face has not been affected by the mining subsidence of the lower No.11 coal seam, which can achieve safe collaborative production

Current understanding of osteoarthritis pathogenesis and relevant new approaches

Osteoarthritis (OA) is the most common degenerative joint disease that causes painful swelling and permanent damage to the joints in the body. The molecular mechanisms of OA are currently unknown. OA is a heterogeneous disease that affects the entire joint, and multiple tissues are altered during OA development. To better understand the pathological mechanisms of OA, new approaches, methods, and techniques need to be used to understand OA pathogenesis. In this review, we first focus on the epigenetic regulation of OA, with a particular focus on DNA methylation, histone modification, and microRNA regulation, followed by a summary of several key mediators in OA-associated pain. We then introduce several innovative techniques that have been and will continue to be used in the fields of OA and OA-associated pain, such as CRISPR, scRNA sequencing, and lineage tracing. Next, we discuss the timely updates concerning cell death regulation in OA pathology, including pyroptosis, ferroptosis, and autophagy, as well as their individual roles in OA and potential molecular targets in treating OA. Finally, our review highlights new directions on the role of the synovial lymphatic system in OA. An improved understanding of OA pathogenesis will aid in the development of more specific and effective therapeutic interventions for OA

A Novel Apoptosis Correlated Molecule: Expression and Characterization of Protein Latcripin-1 from Lentinula edodes C91–3

An apoptosis correlated molecule—protein Latcripin-1 of Lentinula edodes C91–3—was expressed and characterized in Pichia pastoris GS115. The total RNA was obtained from Lentinula edodes C91–3. According to the transcriptome, the full-length gene of Latcripin-1 was isolated with 3′-Full Rapid Amplification of cDNA Ends (RACE) and 5′-Full RACE methods. The full-length gene was inserted into the secretory expression vector pPIC9K. The protein Latcripin-1 was expressed in Pichia pastoris GS115 and analyzed by Sodium Dodecylsulfonate Polyacrylate Gel Electrophoresis (SDS-PAGE) and Western blot. The Western blot showed that the protein was expressed successfully. The biological function of protein Latcripin-1 on A549 cells was studied with flow cytometry and the 3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyl-tetrazolium Bromide (MTT) method. The toxic effect of protein Latcripin-1 was detected with the MTT method by co-culturing the characterized protein with chick embryo fibroblasts. The MTT assay results showed that there was a great difference between protein Latcripin-1 groups and the control group (p < 0.05). There was no toxic effect of the characterized protein on chick embryo fibroblasts. The flow cytometry showed that there was a significant difference between the protein groups of interest and the control group according to apoptosis function (p < 0.05). At the same time, cell ultrastructure observed by transmission electron microscopy supported the results of flow cytometry. The work demonstrates that protein Latcripin-1 can induce apoptosis of human lung cancer cells A549 and brings new insights into and advantages to finding anti-tumor proteins

Design, evaluation, and immune simulation of potentially universal multi-epitope mpox vaccine candidate: focus on DNA vaccine

Monkeypox (mpox) is a zoonotic infectious disease caused by the mpox virus. Mpox symptoms are similar to smallpox with less severity and lower mortality. As yet mpox virus is not characterized by as high transmissibility as some severe acute respiratory syndrome 2 (SARS-CoV-2) variants, still, it is spreading, especially among men who have sex with men (MSM). Thus, taking preventive measures, such as vaccination, is highly recommended. While the smallpox vaccine has demonstrated considerable efficacy against the mpox virus due to the antigenic similarities, the development of a universal anti-mpox vaccine remains a necessary pursuit. Recently, nucleic acid vaccines have garnered special attention owing to their numerous advantages compared to traditional vaccines. Importantly, DNA vaccines have certain advantages over mRNA vaccines. In this study, a potentially universal DNA vaccine candidate against mpox based on conserved epitopes was designed and its efficacy was evaluated via an immunoinformatics approach. The vaccine candidate demonstrated potent humoral and cellular immune responses in silico, indicating the potential efficacy in vivo and the need for further research

Stomatal responses of terrestrial plants to global change

Quantifying the stomatal responses of plants to global change factors is crucial for modeling terrestrial carbon and water cycles. Here we synthesize worldwide experimental data to show that stomatal conductance (gs) decreases with elevated carbon dioxide (CO2), warming, decreased precipitation, and tropospheric ozone pollution, but increases with increased precipitation and nitrogen (N) deposition. These responses vary with treatment magnitude, plant attributes (ambient gs, vegetation biomes, and plant functional types), and climate. All two-factor combinations (except warming + N deposition) significantly reduce gs, and their individual effects are commonly additive but tend to be antagonistic as the effect sizes increased. We further show that rising CO2 and warming would dominate the future change of plant gs across biomes. The results of our meta-analysis provide a foundation for understanding and predicting plant gs across biomes and guiding manipulative experiment designs in a real world where global change factors do not occur in isolation

Exploring the analysis of key factors of new energy consumption and measures to solve them

In order to achieve sustainable and healthy development, power companies must gradually abandon traditional energy sources and actively develop new energy sources, which could achieve green energy-saving and environmental protection effects. This requires an analysis of the key factors of new energy consumption, to clarify the causes of this problem and to take effective countermeasures to solve it. The application of new energy generation technology in power grids is a reasonable solution to the problem of new energy consumption, ensuring a continuous and sufficient supply of electricity resources to meet demand. This paper focuses on the key factors for the consumption of new energy and the measures to address them

Identification of key nodes in ship information flow network based on entropy weight method and FMEA

As a typical cyber-physical system (CPS), ship system, with the continuous improvement of its informatization degree, CPS information security incidents occur frequently. Most of the existing key node identification methods for complex networks are aimed at power system networks, and the evaluation indicators based on these networks are difficult to apply to CPS networks outside the power system. Aiming at the shortcomings of the existing key node identification methods in CPS, this paper proposes an information network key node identification method based on entropy weight method and FMEA. The concept of effective influence range is added to the indicator characterization of failure mode and effects analysis (FMEA), and the entropy weight method is used to objectively weight the indicators in FMEA. Combined with the risk sequence number in the FMEA with strong subjectivity, the three evaluation indicators in the risk sequence number are used as the indicators of the decision matrix in the entropy weight method. Finally, the correctness and feasibility of the method are verified by the case of ship support mission information flow node network. The analysis results show that the comprehensive weighted ranking of the three indicators based on the entropy weight method is more reasonable than a single indicator

Analysis of the factors affecting the prognosis of glioma patients

This retrospective study was carried out to investigate factors affecting the prognosis of gliomas for better management of treatment. Clinical data from 186 glioma patients treated in our hospital from January 2013 to June 2016 were analyzed. There was slightly more male than female patients in the cohort. The main clinical symptoms included sudden limb twitching, headache and fatigue, vomiting, vision reduction and speaking disorders. The malignancy was high and the prognosis was poor in the patients, with an overall survival rate of 54.84 % by October 2017. Univariate analysis showed that the prognosis was mainly affected by age, tumor grade, preoperative Karnofsky performance status (KPS), surgical method, postoperative radiotherapy and chemotherapy, and postoperative use of temozolomide (TMZ). Multivariate Cox regression analysis showed that the independent risk factors for the prognosis were old age (≥ 60), advanced tumor, partial tumor resection, KPS of < 70, no chemotherapy after operation and < 4 courses of postoperative TMZ. The prognosis is negatively affected by age, tumor grade, KPS, and partial tumor resection. Surgical resection combined with chemotherapy and multi-course use of TMZ prolongs the survival time of patients

When Chinese Employees Speak Up: The Experience of Organizational Trust and Authenticity Enhances Employees’ Voice Behavior

Voice behavior is important for innovation, mistake prevention and organizational performance. Because organizational trust increases employees&#39; possibility of disclosing their real inner ideas, we examined the relationships between organizational trust and voice behavior, focusing especially on the avenue of impelling people to feel a higher level of authenticity. We used multiple methods to analyze the relationship. First, we used two separate surveys (Studies 1a and 1b) with different questionnaires and populations to analyze the mediation relationship and generalize the results. Then, to test the causal path, an experiment (Study 2a) in which organizational trust was manipulated was designed. The results showed that employees&#39; authenticity mediated the relation between organizational trust and voice behavior. To further test the causal effect of authenticity in the above mediation, authenticity was manipulated in another experiment (Study 2b). The results illustrated that higher levels of authenticity directly led to higher levels of voice behavior. These results support the hypothesis and expound on the psychological mechanism of how organizational trust increases voice behavior. The theoretical and practical implications of these findings are discussed.</p

Amino acid metabolic reprogramming in tumor metastatic colonization

Metastasis is considered as the major cause of cancer death. Cancer cells can be released from primary tumors into the circulation and then colonize in distant organs. How cancer cells acquire the ability to colonize in distant organs has always been the focus of tumor biology. To enable survival and growth in the new environment, metastases commonly reprogram their metabolic states and therefore display different metabolic properties and preferences compared with the primary lesions. For different microenvironments in various colonization sites, cancer cells must transfer to specific metabolic states to colonize in different distant organs, which provides the possibility of evaluating metastasis tendency by tumor metabolic states. Amino acids provide crucial precursors for many biosynthesis and play an essential role in cancer metastasis. Evidence has proved the hyperactivation of several amino acid biosynthetic pathways in metastatic cancer cells, including glutamine, serine, glycine, branched chain amino acids (BCAAs), proline, and asparagine metabolism. The reprogramming of amino acid metabolism can orchestrate energy supply, redox homeostasis, and other metabolism-associated pathways during cancer metastasis. Here, we review the role and function of amino acid metabolic reprogramming in cancer cells colonizing in common metastatic organs, including lung, liver, brain, peritoneum, and bone. In addition, we summarize the current biomarker identification and drug development of cancer metastasis under the amino acid metabolism reprogramming, and discuss the possibility and prospect of targeting organ-specific metastasis for cancer treatment