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Abstract Background Traditional examinations of anterior cruciate ligament (ACL) injuries focus primarily on static assessments and lack the ability to evaluate dynamic knee stability. Hence, a dynamic scoring system for knee function is needed in clinical settings. This study aimed to propose a dynamic scoring system based on a large sample of normative six-degree-of-freedom (6-DOF) knee kinematics during gait, and validate its correlation with conventional outcome measurements in assessing ACL-injured knees. Methods A total of 500 healthy Chinese participants were enrolled to establish a large dataset. The 6-DOF kinematics of both knees during gait were recorded using an infrared navigation three-dimensional portable knee motion analysis system. Based on the large sample dataset, a novel 6-DOF scoring system was developed using the dynamic time warping algorithm. To further validate the scoring system, an additional 83 patients with ACL injuries were included, and their preoperative dynamic knee kinematics assessment and patient-reported outcome measurements (PROMs) were recorded. Spearman’s correlation coefficient (ρ) was used to determine the correlations between the 6-DOF score and the Lysholm score, International Knee Documentation Committee (IKDC) subjective score, and Tegner activity scale. Results The mean values of adduction/abduction, internal/external rotation, flexion/extension, anterior/posterior translation, proximal/distal translation, and medial/lateral translation in the 500 healthy participants were 10.07 ± 4.04°, 15.13 ± 4.85°, 60.56 ± 6.07°, 1.79 ± 0.75 cm, 1.58 ± 0.54 cm, and 1.10 ± 0.42 cm, respectively. The mean preoperative 6-DOF score, Lysholm score, IKDC subjective score, and Tegner activity scale of the 83 ACL-injured patients were 74.29 ± 7.23, 70.26 ± 17.55, 66.78 ± 15.79, and 2.28 ± 1.56, respectively. The 6-DOF score was significantly correlated with the Lysholm score (ρ = 0.375, P

Objectives The type of ligamentous tear and the degree of knee laxity have important guiding significance for the diagnosis and management of anterior cruciate ligament (ACL) tears. Instrumental measurement is necessary for ACL tears since physical examination and magnetic resonance imaging (MRI) cannot provide an objective and quantitative assessment of knee laxity. This study aimed to compare the application of a novel knee arthrometer and simultaneous stress radiography in differentiating between complete and partial acute ACL tears, and further assess the correlation between the two measurements. Methods A total of 106 patients with complete acute ACL tears and 52 patients with partial acute ACL tears were included in the study. Preoperative arthrometry and simultaneous stress radiography were performed using the Ligs arthrometer at 90, 120, and 150 N to assess side‐to‐side difference (SSD) in anterior knee laxity. The optimal threshold was determined using the receiver operating characteristic (ROC) curve. The area under the ROC curve (AUC) was used to assess the diagnostic value of the measurement. Pearson's correlation coefficient was used to assess the correlation between the two measurements. Results The optimal differential SSD thresholds in the Ligs arthrometer were 2.7 mm at 90 N, 3.8 mm at 120 N, and 4.6 mm at 150 N. Similarly, the optimal differential SSD thresholds in simultaneous stress radiography were 3.8 mm at 90 N, 5.1 mm at 120 N, and 5.6 mm at 150 N. The AUC analysis revealed that the Ligs arthrometer was fairly informative at 90 N (AUC = 0.851), 120 N (AUC = 0.878), and 150 N (AUC = 0.884), and simultaneous stress radiography was highly informative at 90 N (AUC = 0.910), 120 N (AUC = 0.925), and 150 N (AUC = 0.948). Moreover, the AUC of the combined measurements was 0.914 at 90 N, 0.931 at 120 N, and 0.951 at 150 N. A significantly strong correlation was found between the two measurements at 90 N (r = 0.743, p

Objective Diffuse‐type tenosynovial giant cell tumors (Dt‐TGCTs) commonly occur in the knee joint and tend to recur postoperatively. However, limited clinical data are available on ankle joint involvement especially associated multiportal arthroscopic treatment outcomes. The purpose of this study was to report the clinical results of multiportal arthroscopy‐assisted resection of Dt‐TGCTs of the ankle. Methods We retrospectively reviewed the clinical data of 33 patients with Dt‐TGCT of the ankle who underwent multiportal arthroscopic treatment between August 2011 and December 2020. Clinical follow‐up included the visual analogue scale (VAS) score, American Orthopedic Foot and Ankle Society (AOFAS) score, Kofoed score, and recurrence rate to assess surgical outcomes. The number of patients who achieved the patient acceptable symptom state (PASS) based on the AOFAS score was also examined. Additionally, the patients were categorized into two groups based on the final surgical approach: Group A who underwent multiportal arthroscopic synovectomy and Group AO who underwent combined arthroscopic and open surgical excision. Intergroup comparisons were conducted. Intraoperative characteristics, such as the number of patients with involvement of the tarsal tunnel and fibularis tendon and the Outerbridge grading of cartilage damage, were recorded to assess the selection of surgical procedures. Results Among the 33 patients, 15 were assigned to Group A, and 18 were in Group AO. The median follow‐up duration for the 33 patients was 77 months (range, 28–142 months). The median VAS score was 1 (range, 0–4), the AOFAS score was 96 (range, 65–100), and the Kofoed score was 96 (range, 67–100). A total of 27 patients (82%) achieved PASS based on AOFAS scores, while five patients (15%) had recurrence. No statistically significant difference was observed between the two groups in recurrence rate, follow‐up VAS score, AOFAS score, Kofoed score, or number of patients who reached the PASS (p > 0.05). In the AO group, 16 cases of Dt‐TGCT involved the tarsal tunnel, and 11 cases involved the fibularis tendon. All these patients exhibited extension beyond the joint. In contrast, only one patient in Group A had involvement of the tarsal tunnel. Statistically significant differences were observed between the groups (p

Objective There has been long‐standing debate about whether a medial opening wedge high tibial osteotomy (MOWHTO) gap should be filled with autologous bone graft or any other filler to expedite the healing process. The main purpose of this study was to compare the clinical and radiological outcomes of MOWHTO with an opening gap ≥10 mm, utilizing autograft, allograft, or no graft at 1 year postoperatively. Methods A total of 68 patients were included in this retrospective study and divided into three treatment groups: Group A (no bone graft), Group B (autologous iliac crest graft), and Group C (allogenous tibia plateau graft). At postoperative 1‐year follow‐up, the area of callus filling in the most medial side of the knee was measured using anteroposterior radiographs, and a modified van Hemert scoring system was used to evaluate bone union outcomes in five mediolaterally divided zones. Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores and relevant complications were assessed. The correlations between the gap width and bone union scores were evaluated. Results Patients in the autograft group demonstrated better bone union progression (p = 0.031) and higher bone union scores (p

Knee arthroscopy is the replacement choice for patients with symptomatic degenerative arthropathy who have failed conservative treatment, such as intra-articular loose bodies and meniscal pathology. Postoperative joint pain and swelling are the main problems affecting enhanced recovery after surgery, which is thought to be a disorder of the joint environment caused by the trauma of surgery (1, 2, 3). Arthroscopic surgery involves irrigating the joint with a high-pressure flushing solution, which results in the loss of synovial fluid secreted by the joint itself. Synovial fluid has been shown to lubricate and protect the articular cartilage, and it needs to be re-secreted several days after surgery (3). In addition, studies have shown that the lavage fluid could cause damage to articular cartilage, which could also lead to early postoperative joint discomfort (4, 5). Therefore, some scholars have proposed that early postoperative synovial fluid analog supplementation to restore the internal environment may reduce early postoperative joint discomfort and accelerate the rehabilitation process (6, 7, 8, 9).

Soluble sugars function not only as the energy and structural blocks supporting plants, but also as osmoregulators and signal molecules during plant adaptation to water deficit. Here, we investigated drought resistance in transgenic apple (Malus × domestica) overexpressing MdFRK2, a key gene regulating fructose content and sugar metabolism. There is no obvious phenotypic difference between MdFRK2-overexpressing transgenic plants and WT plants under the well-watered condition. However, the transgenic plants and the grafted plants using MdFRK2-overexpressing rootstock exhibited improved tolerance to drought stress. Overexpression of MdFRK2 significantly promoted the growth of root system under drought stress. RNA sequencing showed that under drought stress, genes involved in sugar metabolism, transcription regulation, signal transduction or hormone metabolism were differentially expressed in MdFRK2 transgenic plants. Consistent with the gene expression profile, the activities of enzyme (SDH, FRK and NI) involved in sugar metabolism in the roots of MdFRK2 transgenic plants were significantly higher than those of untransformed control plants after drought stress. Under drought stress, overexpression of MdFRK2 promoted the accumulation of IAA, and decreased the contents of ABA and CK in apple root system. In conclusion, these results suggest that MdFRK2 can promote the growth of apple roots under drought stress by regulating sugar metabolism and accumulation, hormone metabolism and signal transduction, and then resist drought stress.

Abstract Background Knee arthroscopic arthrolysis serves as an effective treatment for knee arthrofibrosis. However, hemarthrosis is the most common complication in arthroscopic surgery, which has potential adverse effects on postoperative rehabilitation. The purpose of this study was to evaluate the effects of topical tranexamic acid (TXA) in knee arthroscopic arthrolysis. Methods A total of 87 patients with knee arthrofibrosis who underwent arthroscopic arthrolysis from September 2019 to June 2021 were eligible for this retrospective review. Patients in the TXA group (n = 47) received topical administration of TXA (50 mL, 10 mg/mL) at the end of the surgery, and patients in the control group (n = 40) received no TXA. The postoperative drainage volumes, hematologic levels, inflammatory marker levels, knee range of motion (ROM), visual analog scale (VAS) pain scores, Lysholm knee scores and complications were compared between the two groups. The curative effect of each group was calculated according to Judet’s criteria. Results The mean drainage volumes on postoperative day (POD) 1 and POD 2, and total drainage volume were significantly lower in the TXA group than in the control group (P

In order to meet the strategic needs of intelligent upgrading of mine ventilation system, the design principle, logical structure and specific implementation of intelligent ventilation precision control system are studied. The current situation of intelligent ventilation control system is reviewed from three aspects of state perception, control algorithm and control strategy. In view of the shortcomings of the current intelligent ventilation control system that each research field is separated from each other and the data are difficult to support each other, starting from the top-level design, the whole life cycle design principle of the system with the fusion of perception algorithm and control algorithm as the core is proposed. Based on this, the logical framework with the edge’s integration of perception and control as the core is proposed. The hardware and software platform of mine intelligent air conditioning is designed and built, and various measures are taken to ensure the safety of people and vehicles and the reliable operation of the system. Aiming at the specific problem that the state perception and precise control algorithm are relatively separated in the traditional framework, which leads to the sensitivity of air volume control to noise, a proportional integral differential closed-loop control algorithm combined with the Kalman filter is proposed to accurately track the air volume of roadway, and the decision and control concepts of expert modeling, algorithm optimization and equipment linkage are integrated. Finally, in the hardware and software platform of mine intelligent air conditioning, the accurate tracking experiment of wind window air volume in normal period and the smoke flow elimination experiment in disaster period are carried out. The experimental results show that compared with the traditional proportional-integral-derivative closed-loop control algorithm, the proportional-integral-derivative closed-loop control algorithm combined with the Kalman filter improves the accuracy, anti-interference and overall efficiency of air volume tracking by 20.3%, 17.4% and 13.9%, respectively, and realizes the accurate and efficient control of air volume in the normal period. In the smoke flow exclusion experiment, the real-time control of constant pressure difference on both the sides of the wind window can take into account the suffocation fire extinguishing and the prevention of smoke flow invasion, so as to achieve the precise control of smoke flow in the disaster period. The two experiments verify the effectiveness of design principles and logical framework of intelligent ventilation precise control system.

Objective: The Ligs Digital Arthrometer is a recently launched versatile arthrometer that can be used for the quantitative assessment of knee and ankle joint laxity. This study aimed to evaluate the validity of the Ligs Digital Arthrometer for the diagnosis of complete anterior cruciate ligament (ACL) ruptures at different loads.Materials and Methods: From March 2020 to February 2021, we included 114 normal subjects and 132 subjects diagnosed with complete ACL ruptures by magnetic resonance imaging (MRI) and eventually confirmed by arthroscopy in the study. Anterior knee laxity was independently measured by the same physical therapist using the Ligs Digital Arthrometer. Recorded anterior knee laxity and calculated the side-to-side difference (SSD) at 30, 60, 90, 120, and 150 N loads, respectively. The receiver operating characteristic (ROC) curve was used to determine the optimal laxity threshold, and the diagnostic value was evaluated by the area under the curve (AUC).Results: The demographic data of the subjects were comparable between the two groups (p > 0.05). The mean values of anterior knee laxity measured by the Ligs Digital Arthrometer between the complete ACL ruptures group and the control group were significantly different at 30, 60, 90, 120, and 150 N loads (p < 0.001 for all). According to the results of ROC curve analysis, the optimal laxity threshold for the diagnosis of complete ACL ruptures was 1.1 mm SSD (Se = 66.7%, Sp = 69.3%) at 30 N, 1.3 mm (Se = 74.2%, Sp = 82.5%) at 60 N, 1.6 mm (Se = 79.5%, Sp = 94.7%) at 90 N, 1.9 mm (Se = 84.1%, Sp = 92.1%) at 120 N and 2.1 mm (Se = 85.6%, Sp = 91.2%) at 150 N. The AUC order at different loads from high to low was 150 N (0.948 [0.923–0.973])>120 N (0.933 [0.903–0.963])>90 N (0.902 [0.862–0.943])>60 N (0.846 [0.799–0.893])>30 N (0.720 [0.657–0.783]).Conclusion: The Ligs Digital Arthrometer proved to be of high diagnostic value in complete ACL ruptures at 90 N, 120 N, and 150 N loads. The diagnostic value improved with the increase of load in a certain range. Based on the results of this study, as a portable, digital and versatile new arthrometer, the Ligs Digital Arthrometer was a valid and promising tool for diagnosing complete ACL ruptures.

Astragalus scaberrimus Bunge 1833 is a widespread perennial herb in northern China. The plant has white flowers and white hairs on the leaves and stems. To determine the chloroplast genome, total DNA was extracted from a sample and sequenced on the Illumina HiSeq4000 platform. After sequencing, the reads of chloroplast DNA were assembled and annotated via NOVOPlasty and PGA respectively. The chloroplast genome of this plant has a circular form with a length of 123,492 bp, a 34% GC content and IR loss. After annotation, a total of 113 genes were predicted for this cp genome, comprising 79 encoded proteins, 4 rRNAs and 30 tRNAs. The evolutionary history indicates that A. scaberrimus was grouped within Astragalus and formed a clade with Astragalus laxmannii with a 100% BS support value. The complete chloroplast genome can serve as a reference for future studies on molecular biology, evolution, population genetics, taxonomy and resource protection.

Potentilla sischanensis Bunge ex Lehm. is a widespread perennial herb in north China. The plant has little yellow flowers, and the petioles are white-tomentose and sparsely villous. To determine the chloroplast genome, total genomic DNA was extracted from fresh leaves and sequenced. The complete chloroplast genome was assembled and annotated. The chloroplast genome of this plant is a circular form with a length of 156,240 bp, including a large single-copy region (LSC, 85,748 bp), a small single-copy region (SSC, 18,566 bp), and two inverted repeats (IRs, 25,963 bp). A total of 132 genes were predicted, comprising 87 encoded proteins, 8 rRNAs and 37 tRNAs. The evolutionary history indicates that P. sischanensis was grouped within Potentilla and formed a clade with Potentilla chinensis and Potentilla stolonifera with a 100% bootstrap support value. The complete cp genome can serve as a reference for future studies on molecular biology, evolution, population genetics, taxonomy and resource protection.

Abstract Plant roots and soil prokaryotes primarily interact with each other in the rhizosphere. Changes in the rhizosphere prokaryotic structure are influenced by several factors. In this study, the community structure of the Potentilla anserina L. rhizosphere prokaryotes was identified and evaluated by high-throughput sequencing technology in different continuous cropping fields and developmental stages of the plant. In total, 2 archaeal (Euryarchaeota and Thaumarchaeota) and 26 bacterial phyla were identified in the P. anserina rhizosphere. The bacterial community was mainly composed of Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Gemmatimonadetes, Planctomycetes, Proteobacteria, and Verrucomicrobia. Moreover, the prokaryotic community structure of the rhizosphere varied significantly during plant development. Our results provide new insights into the dynamics of the P. anserina rhizosphere prokaryotic community and may provide useful information for enhancing the growth and development of P. anserina through artificial control of the soil prokaryotes.

Vicia cracca L. is a widespread perennial herb in the Northern Hemisphere. It has purple flowers and leave tendrils for climbing on neighboring vegetation. For knowing the chloroplast genome, a sample’s genomic was extracted, sequenced, assembled and annotated. The chloroplast genome of this plant is a circular form of 126,272bp in length with IR loss. After annotation, a total of 108 genes were predicted, of which, 75 encode proteins, 3 rRNA, 30 tRNA. The evolutionary history, inferred using Maximum Likelihood method, indicates that V. cracca was grouped within Vicia in Fabaceae. The complete cp genome will be helpful for further studies on molecular biology, evolution, population genetics, taxonomy or resources protection.

The interaction between ventilation and fire development in diagonal pipe networks makes the study of temperature characteristics extremely complex. The thermodynamic effect caused by high temperature will change the original ventilation state, cause smoke flow retrogression and airflow reversal, and expand the disaster range. Therefore, exploring the temperature attenuation characteristics in diagonal pipe networks is necessary. In this article, the temperature distribution and attenuation in a diagonal pipe network are studied using the numerical simulation method based on the theoretical model of temperature attenuation in a single roadway. In the diagonal branch, the St number in the temperature attenuation model is optimized. The temperature attenuation of the left and right paths can be divided into two stages. The optimal St number of the temperature attenuation model under different wind speeds in the left way is determined. The fitting relationship of wind speed, distance, and temperature in the first stage of the right way is established, and the fire source distance in the second stage of the right way has the most significant influence on the temperature attenuation by using the method of multivariate statistics. The temperature of the smoke backflow front in the left and right paths decreases gradually with the increase in the fire source, and the temperature of the smoke backflow front in the left way is higher than that in the right way.

A novel bare-bones particle swarm optimization (BBPSO) algorithm is proposed to realize intelligent mine ventilation decision-making and overcome the problems of low precision, low speed, and difficulty in converging on an optimal global solution. The proposed method determines the decision objective function based on the minimal power consumption and maximal air demand. Three penalty terms, namely, dynamic ventilation condition, the supplied air volume at the location where the air is required, and roadway wind speed, are established. The particle construction method of “wind resistance” instead of “wind resistance & air volume” is proposed to reduce the calculation dimension effectively. Three optimization strategies, namely the contraction factor, optimal initial value, and elastic mirror image, are proposed to avoid premature convergence of the algorithm. The application flow of intelligent decision-making in the field and the parallel computing architecture are also discussed. Five methods are used to solve the problems. The results reveal that the improved parallel BBPSO algorithm (BBPSO-Para-Improved) outperforms other algorithms in terms of convergence efficiency, convergence time, and global optimization performance and meets the requirements of large ventilation systems for achieving economic and safety targets.

Analyzing and processing mine wind speed monitoring data is the key to realizing intelligent ventilation and real-time calculation of the ventilation network. According to the characteristics of the artificial regulation of a mine ventilation system, a local regression fuzzy C clustering algorithm is proposed in this paper, which combines local outlier processing with global air volume state analysis. Firstly, the algorithm uses the robust local weighted regression principle to analyze and preprocess the data locally, determines the risk degree of the abnormal data according to the identified times of outliers, determines the clustering number according to the clustering validity function, and analyzes the global air volume fluctuation according to the clustering results. The results show that most outliers are identified in data preprocessing. Still, the processing of dense outliers is weak, related to the window width setting and weighting multiple. The number of clusters can represent the fluctuation of the ventilation state and the pre-processed cluster centers are 4.4% lower than the original data because most of the outliers are higher than the average data. According to the law of air volume balance, the clustering results can pave the way for the global deduction of mine wind speed. There is an implicit relationship between data preprocessing and the clustering process, and when intensive outliers are not eliminated, they may be identified as separate clusters. The research of this paper points out the direction of mine wind speed data analysis, which can provide a theoretical basis for intelligent mine ventilation and real-time calculation of the ventilation network.

Primula stenocalyx Maxim. is a perennial herb with purple umbel flowers. This alpine plant can survive at altitudes of 2700–4300 m. To explore the chloroplast genome, total DNA was extracted from a sample and sequenced, the reads of the chloroplast genome were assembled and annotated. The chloroplast genome of this plant has a circular form with a length of 153,678 bp comprising a large single-copy region (LSC, 84,236 bp), a small single-copy region (SSC, 17,746 bp), and two inverted repeats (IRs, 25,848 bp). The genome has a GC content of 37%. A total of 133 genes were predicted to contain 88 encoded proteins, 8 rRNAs and 37 tRNAs. The evolutionary history indicates that P. stenocalyx was grouped within Primula and formed a clade with Primula knuthiana with a 100% bootstrap support value. The complete cp genome of P. stenocalyx can serve as a reference for future studies on molecular biology, evolution, population genetics, taxonomy and resource protection.

The complete chloroplast genome sequence of Elsholtzia densa was analysed. The results indicated that the size of the chloroplast genome was 149,095 bp in length with a large single-copy region (LSC) of 81,497 bp, a small single-copy region (SSC) of 17,364 bp, and a pair of inverted repeat (IR) regions of 25,117bp. The overall GC content of the cpDNA genome was 37.86%, while the corresponding values of the LSC, SSC, and IR regions were 35.96%, 31.92%, and 43.16%, respectively. A total of 132 functional genes were identified, including 84 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. The maximum likelihood phylogenetic tree suggested that E. densa was closely related to the species in the family Labiatae.

This paper utilizes prevalent deep learning techniques, such as Convolutional Neural Networks (CNNs) and Residual Neural Networks (ResNets), along with the well-established machine learning technique, Random Forest, to efficiently distinguish between common lithologies including coal, sandstone, limestone, and others. This approach is highly significant for resource extraction—such as coal, oil, natural gas, and groundwater—by streamlining the process and minimizing the need for the time-consuming manual interpretation of geophysical logging data. The natural gamma ray, density, and resistivity log data were collected from 22 wells in the mountainous region of Southern Sichuan, China, yielding approximately 70,000 samples for developing lithofacies prediction models. All the models achieved around 80% accuracy in classifying carbonaceous lithologies and up to 88% accuracy in predicting other lithologies. The trained models were applied to the logging data in the validation dataset, and the outputs were validated against geological core data, showing overall consistency, although variations in the classification results were observed across different wells. These findings suggest that deep learning techniques have the potential to develop a general model for effectively handling lithology classification with well logging data.

The gas adsorption characteristics in deep coal reservoirs are the focus of deep coalbed methane geology research. In order to reveal the adsorption characteristics in deep coal reservoirs and quantitatively characterize the amount of adsorbed methane in the deep coal seams, four coals were collected from the Permian Longtan Formation in southern Sichuan Province. Methane isothermal adsorption tests were carried out on the collected coal samples at 30 °C. The adsorption characteristic curve was established based on the data of the isothermal adsorption. The adsorption potential theory was used to predict the isothermal adsorption curves under different temperatures and the evolutionary relationship between the methane adsorption capacity and the coal seam burial depth in the C17 and C25 coal seams of the Permian in southern Sichuan Province, China. The results showed that the methane isothermal adsorption curve at 30 °C belonged to the Type I isotherm adsorption curve. The methane isothermal adsorption curves for various samples at 45 °C, 60 °C, and 75 °C were predicted based on the uniqueness of the methane adsorption characteristic curve. The amount of adsorbed gas in deep coal reservoirs was comprehensively controlled by pressure and temperature. The pressure showed a positive effect on the amount of methane adsorbed, while the temperature showed a negative effect on the adsorption of methane. The negative effect of temperature became more significant with the increase in pressure. The results of the study are beneficial for further promoting the exploration and development of deep coalbed methane in the southern Sichuan Province of China.

Summary: T helper type 2 (Th2) cytokine-activated M2 macrophages contribute to inflammation resolution and wound healing. This study shows that IL-4-primed macrophages exhibit a stronger response to lipopolysaccharide stimulation while maintaining M2 signature gene expression. Metabolic divergence between canonical M2 and non-canonical proinflammatory-prone M2 (M2INF) macrophages occurs after the IL-4Rα/Stat6 axis. Glycolysis supports Hif-1α stabilization and proinflammatory phenotype of M2INF macrophages. Inhibiting glycolysis blunts Hif-1α accumulation and M2INF phenotype. Wdr5-dependent H3K4me3 mediates the long-lasting effect of IL-4, with Wdr5 knockdown inhibiting M2INF macrophages. Our results also show that the induction of M2INF macrophages by IL-4 intraperitoneal injection and transferring of M2INF macrophages confer a survival advantage against bacterial infection in vivo. In conclusion, our findings highlight the previously neglected non-canonical role of M2INF macrophages and broaden our understanding of IL-4-mediated physiological changes. These results have immediate implications for how Th2-skewed infections could redirect disease progression in response to pathogen infection.

The goal of this study was to accurately evaluate the lateral sealing ability of a fault in siliciclastic stratum based on previous analysis of the lateral sealing of faults by a large number of scholars in the published literature and physical simulation experiments. Content of the clay mineral phase and the diagenetic degree of fault rock were investigated as the main factors to evaluate the lateral sealing of faults. Based on this theory, the configuration relationship between the clay content and burial depth of fault rock (SGR&H) threshold evaluation method for the lateral sealing of faults was established. Then, we applied these results to evaluate the lateral sealing ability of faults in the Beixi, Beier, Wuerxun, and Surennuoer areas in the Hailar Basin, China. The variation in SGR boundary values with burial depth between the lateral opening and moderate sealing area, as well as between the moderate and strong sealing area of the faults, are obtained. Compared with the previous methods, the SGR&H threshold method transforms the static SGR value of a formation or even a region into a dynamic SGR value that changes with the burial depth, which can fully characterize the differences in the conditions required for sealing faults with different internal structures at different depths. In determining the lateral sealing ability of faults by comparing the evaluation results, we discovered the following. (1) In the same area, the sealing thresholds of faults within different layers are different because the deep strata are subjected to greater pressures and longer loading times, so these faults are more likely to seal laterally. (2) In the same layer, the sealing thresholds of faults in different areas are also different. The higher the thickness ratio between the sandstone and the formation (RSF), the smaller the entry pressure of the fault rock when it has reached a critical seal state, so the SGR&H thresholds are relatively small. Compared to the previous methods, the SGR&H threshold method in this article reduces the exploration risk of faults with relatively low diagenetic degree in shallow strata, and also increases the exploration potential of faults with relatively high diagenetic degree in deep strata. The evaluation results are more consistent with the actual underground situation.

The control effects of different occurrence faults on oil and gas accumulation and distribution in the outer slope area of oil and gas reservoirs were studied taking the south-central Wen'an slope of the Jizhong depression in the Bohai Bay Basin as an example. Based on 3D seismic data and the distribution of oil and water, the controlling differences between consequent fault and antithetic fault were analyzed and compared from the formation and evolution rule of faults and the formation mechanism of fault traps, including development positions of the consequent fault traps and antithetic fault traps, oil and gas distribution horizon adjusted by fault and formation period of fault traps. The differences between consequent faults and antithetic faults in controlling reservoirs have three main aspects: (1) Consequent fault traps and antithetic fault traps are in different positions, the consequent fault traps are at the segmented growing point in the hanging wall of “hard-linkage” faults, while the antithetic fault traps are developed in the position with the largest throw in the footwall because of tilting action; (2) The two kinds of faults result in different oil and gas distribution vertically, oil and gas adjusted by consequent faults is distributed in a single layer or multi-layers, while oil and gas adjusted by antithetic faults occur in single layers; (3) The two kinds of fault traps are formed in different periods, the consequent fault traps are formed at the time when the related faults enter the stage of “hard-linkage”, while the antithetic fault traps are formed at the beginning of the fault active period. Key words: Bohai Bay Basin, Jizhong depression, slope area outside of source, consequent fault, antithetic fault, fault trap, transverse anticline, fault controlling hydrocarbon accumulation

To study the possibility and location of lateral migration of oil and gas across faults, a quantitative evaluation method for lateral migration of oil and gas across faults was established using the Shuangjing Knipe graphic method to identify the juxtaposition site and juxtaposition patterns of sand and sand in the upper and lower walls of the reverse faults and the consequent faults, combined with the oil and gas limit method of fault lateral seal in the test oil area. The quantitative evaluation method was applied to the first and two members of the Paleogene Shahejie strata (referred to as Es1 and Es2) of Shigezhuang nose structure of Wen'an slope in Baxian sag, Jizhong depression, Bohai Bay Basin, to determine the juxtaposition site of sand and sand in the upper and lower walls of the fault, and the shale gouge ratio (SGR) lower values are 26% and 29% respectively in the strata Es1 and Es2. Thus, the location of lateral migration of oil and gas across faults was determined. Based on the oil and gas distribution characteristics of the strata Es1 and Es2, and variation trend of nitrogen compounds in 4 wells in the strata Es1, the results were consistent with the quantitative evaluation of the location of lateral migration of oil and gas across faults, the feasibility of the evaluation method was preliminarily verified. Key words: Bohai Bay Basin, Jizhong depression, Wen'an slope, hydrocarbon lateral migration, shale gouge ratio, fault lateral seal, oil and gas seal limit, Knipe diagram method

Background and purpose: Golgi membrane protein 1 (GOLM1) plays the role of an oncogene in lung adenocarcinoma (LUAD), however, the effects of GOLM1 on the proliferation, invasion and migration of LUAD cells and its mechanism are not clear yet. This study investigated the effects of GOLM1 on the proliferation, invasion and migration of LUAD cells and its mechanism of action. Methods: We selected cancer tissues and corresponding paracancerous tissue specimens from 90 LUAD patients who underwent surgical resection in Karamay Central Hospital from April 2019 to April 2021. The expression of GOLM1 protein in LUAD tissues and paracancerous tissues was detected by immunohistochemistry, and the relationship between GOLM1 protein expression and clinicopathological characteristics of LUAD tissues was analyzed. Western blot was used to detect the expression of GOLM1 protein in human lung epithelial cells BEAS-2B and human lung adenocarcinoma H460, A549, PG49 and H1299 cells. Lung adenocarcinoma A549 cells in logarithmic growth stage were randomly divided into blank group (cells not transfected), GOLM1 small interfering RNA negative control (si-NC) group (cells transfected with si-NC), GOLM1 small interfering RNA (si-GOLM1) group (cells transfected with si-GOLM1), insulin-like growth factor-1 (IGF-1) group [10 μmol/L phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathway activator IGF-1 for 30 min] and si-GOLM1+IGF-1 group (after treatment with 10 μmol/L IGF-1 for 30 min, si-GOLM1 was transfected). Cell counting kit-8 method was used to detect cell proliferation in each group of lung adenocarcinoma A549 cells. Scratch test was used to detect cell migration in each group of lung adenocarcinoma A549 cells. Transwell experiment was used to detect cell invasion in each group of lung adenocarcinoma A549 cells. Western blot was used to detect the expressions of GOLM1 and PI3K/AKT/mTOR signaling pathway related proteins in each group of lung adenocarcinoma A549 cells. Xenograft model was constructed by subcutaneously injecting A549 cells on the right side of BALB/c nude mice, which were divided into: nude mice blank group, nude mice si-NC group, nude mice si-GOLM1 group, nude mice IGF-1 group, nude mice si-GOLM1+IGF-1 group, with 6 mice in each group. The nude mice were sacrificed six weeks after injection, the tumor was collected, and the weight and volume of the tumor were measured. Results: The results of immunohistochemistry showed that the positive expression rate of GOLM1 protein was significantly higher in LUAD tissues than in adjacent tissues (P0.05). Compared with BEAS-2B cells, the relative expression level of GOLM1 protein in human lung adenocarcinoma H460, A549, PG49 and H1299 cells was significantly increased (P0.05). Compared with the nude mice blank group and nude mice si-NC group, the mass and volume of transplanted tumors in the nude mice si-GOLM1 group were significantly reduced, while the mass and volume of transplanted tumors in the nude mice IGF-1 group were significantly increased (P