Two new species of Perenniporia sensu lato (Polyporales, Basidiomycota) from China and two new combinations in Crassisporus.

Phylogenetic and morphological analyses on Perenniporia s.l. were carried out. Phylogenies on Perenniporia s.l. are reconstructed with two loci DNA sequences including the internal transcribed spacer (ITS) regions and the large subunit (nLSU). Two new species from Yunnan Province, southwest China, Perenniporiaprunicola and P.rosicola in Perenniporia s.l., are illustrated and described. Perenniporiaprunicola is characterised by the perennial and resupinate basidiomata with a clay pink pore surface when fresh, a trimitic hyphal system, the presence of clavate to fusiform hymenial cystidia, ellipsoid to broadly ellipsoid basidiospores measuring 4.8-6.2 × 3.6-4.5 µm. Perenniporiarosicola is characterised by annual and resupinate basidiomata with a white pore surface when fresh, a dimitic hyphal system, the presence of dendrohyphidia, broadly ellipsoid to subglobose basidiospores measuring 5-5.8 × 4-5.2 µm. In addition, Crassisporus is a genus in Perenniporia s.l., in which two new combinations Crassisporusminutus and C.mollissimus are proposed. Main morphological characteristics of species related to new taxa are also provided.

Dynamic Semi-Supervised Federated Learning Fault Diagnosis Method Based on an Attention Mechanism.

In cases where a client suffers from completely unlabeled data, unsupervised learning has difficulty achieving an accurate fault diagnosis. Semi-supervised federated learning with the ability for interaction between a labeled client and an unlabeled client has been developed to overcome this difficulty. However, the existing semi-supervised federated learning methods may lead to a negative transfer problem since they fail to filter out unreliable model information from the unlabeled client. Therefore, in this study, a dynamic semi-supervised federated learning fault diagnosis method with an attention mechanism (SSFL-ATT) is proposed to prevent the federation model from experiencing negative transfer. A federation strategy driven by an attention mechanism was designed to filter out the unreliable information hidden in the local model. SSFL-ATT can ensure the federation model's performance as well as render the unlabeled client capable of fault classification. In cases where there is an unlabeled client, compared to the existing semi-supervised federated learning methods, SSFL-ATT can achieve increments of 9.06% and 12.53% in fault diagnosis accuracy when datasets provided by Case Western Reserve University and Shanghai Maritime University, respectively, are used for verification.

A Multiscale Recursive Attention Gate Federation Method for Multiple Working Conditions Fault Diagnosis.

Federated learning (FL) is an effective method when a single client cannot provide enough samples for multiple condition fault diagnosis of bearings since it can combine the information provided by multiple clients. However, some of the client's working conditions are different; for example, different clients are in different stages of the whole life cycle, and different clients have different loads. At this point, the status of each client is not equal, and the traditional FL approach will lead to some clients' useful information being ignored. The purpose of this paper is to investigate a multiscale recursive FL framework that makes the server more focused on the useful information provided by the clients to ensure the effectiveness of FL. The proposed FL method can build reliable multiple working condition fault diagnosis models due to the increased focus on useful information in the FL process and the full utilization of server information through local multiscale feature fusion. The validity of the proposed method was verified with the Case Western Reserve University benchmark dataset. With less local client training data and complex fault types, the proposed method improves the accuracy of fault diagnosis by 23.21% over the existing FL fault diagnosis.

Phylogeny and diversity of Rigidoporus (Hymenochaetales, Basidiomycota), including three new species from Asia.

Phylogenetic and morphological analyses on Rigidoporus were carried out. The genus Rigidoporus (Hymenochaetales, Basidiomycota), typified by R. microporus (Fr.) Overeem. (synonym Polyporus micromegas Mont.), was established by Murrill in 1905. The genus is mainly characterized by annual to perennial, resupinate, effused-reflexed to pileate or stipitate basidiomata with azonate or concentrically zonate and sulcate upper surface, a monomitic to pseudo-dimitic hyphal structure, simple-septate generative hyphae, and ellipsoid to globose basidiospores. Phylogeny on species of the genus is reconstructed with two loci DNA sequences including the internal transcribed spacer regions and the large subunit. Three new species in Rigidoporus are described and illustrated from Asia, and one new combination in the genus is proposed. The main morphological characteristics of the currently accepted species of Rigidoporus are provided.

Federated Learning Based Fault Diagnosis Driven by Intra-Client Imbalance Degree.

Federated learning is an effective means to combine model information from different clients to achieve joint optimization when the model of a single client is insufficient. In the case when there is an inter-client data imbalance, it is significant to design an imbalanced federation aggregation strategy to aggregate model information so that each client can benefit from the federation global model. However, the existing method has failed to achieve an efficient federation strategy in the case when there is an imbalance mode mismatch between clients. This paper aims to design a federated learning method guided by intra-client imbalance degree to ensure that each client can receive the maximum benefit from the federation model. The degree of intra-client imbalance, measured by gain of a class-by-class model update on the federation model based on a small balanced dataset, is used to guide the designing of federation strategy. An experimental validation for the benchmark dataset of rolling bearing shows that a 23.33% improvement of fault diagnosis accuracy can be achieved in the case when the degree of imbalance mode mismatch between clients is prominent.

Effect of Cold Exposure and Exercise on Insulin Sensitivity and Serum Free Fatty Acids in Obese Rats.

PURPOSE: This study aimed to explore the effect of exercise and cold exposure on insulin sensitivity and the level of serum free fatty acids (FFA) in diet-induced obese rats. METHODS: Sixty-four diet-induced obese rats were randomly assigned to eight groups: room temperature-sedentary, room temperature-exercise, acute cold exposure-sedentary, acute cold exposure-exercise, intermittent cold exposure-sedentary, intermittent cold exposure-exercise, sustained cold exposure-sedentary, and sustained cold exposure-exercise. After the interventions, the homeostatic model assessment for insulin resistance (HOMA-IR) values, the level of serum FFA, subcutaneous fat ratio (SFR) and visceral fat ratio, enzyme activities of adipose triglyceride lipase, and lipoprotein lipase (LPL) in inguinal adipose tissue, and protein expression of PGC1-α and p38 MAPK in skeletal muscle were investigated. RESULTS: We found that exercise ( P = 0.0136) and cold exposure ( P < 0.0001) reduced HOMA-IR values independently. Exercise reduced serum FFA ( P = 0.0041), whereas cold exposure did not affect them. Moreover, the HOMA-IR values were positively correlated with the serum FFA levels ( r = 0.32, P = 0.01). SFR or visceral fat ratio was coordinately reduced by the interaction (for SFR, P = 0.0015) or opposing main effects between or of cold exposure and exercise, supporting the reduction of serum FFA. However, cold exposure or exercise increased the activity of adipose triglyceride lipase and LPL independently or interactively (for LPL, P = 0.0143), suggesting an increase in serum FFA. Finally, cold exposure and exercise enhanced protein expression of PGC1-α and p38 MAPK independently or interactively (for p38 MAPK, P = 0.0226), suggesting increased uptake and oxidation of serum FFA in muscle. CONCLUSIONS: These results suggest that the combination of exercise and cold exposure may result in more serum FFA utilization than production and thus lead to reduced serum FFA and increased insulin sensitivity.

Trend Feature Consistency Guided Deep Learning Method for Minor Fault Diagnosis.

Deep learning can be applied in the field of fault diagnosis without an accurate mechanism model. However, the accurate diagnosis of minor faults using deep learning is limited by the training sample size. In the case that only a small number of noise-polluted samples is available, it is crucial to design a new learning mechanism for the training of deep neural networks to make it more powerful in feature representation. The new learning mechanism for deep neural networks model is accomplished by designing a new loss function such that accurate feature representation driven by consistency of trend features and accurate fault classification driven by consistency of fault direction both can be secured. In such a way, a more robust and more reliable fault diagnosis model using deep neural networks can be established to effectively discriminate those faults with equal or similar membership values of fault classifiers, which is unavailable for traditional methods. Validation for gearbox fault diagnosis shows that 100 training samples polluted with strong noise are adequate for the proposed method to successfully train deep neural networks to achieve satisfactory fault diagnosis accuracy, while more than 1500 training samples are required for traditional methods to achieve comparative fault diagnosis accuracy.

Aerobic Exercise Prevents Arterial Stiffness and Attenuates Hyperexcitation of Sympathetic Nerves in Perivascular Adipose Tissue of Mice after Transverse Aortic Constriction.

We aimed to investigate the efficacy of exercise on preventing arterial stiffness and the potential role of sympathetic nerves within perivascular adipose tissue (PVAT) in pressure-overload-induced heart failure (HF) mice. Eight-week-old male mice were subjected to sham operation (SHAM), transverse aortic constriction-sedentary (TAC-SE), and transverse aortic constriction-exercise (TAC-EX) groups. Six weeks of aerobic exercise training was performed using a treadmill. Arterial stiffness was determined by measuring the elastic modulus. The elastic and collagen fibers of the aorta and sympathetic nerve distribution in PVAT were observed. Circulating noradrenaline (NE), expressions of ß3-adrenergic receptor (ß3-AR), and adiponectin in PVAT were quantified. During the recovery of cardiac function by aerobic exercise, thoracic aortic collagen elastic modulus (CEM) and collagen fibers were significantly decreased (p < 0.05, TAC-SE vs. TAC-EX), and elastin elastic modulus (EEM) was significantly increased (p < 0.05, TAC-SE vs. TAC-EX). Circulating NE and sympathetic nerve distribution in PVAT were significantly decreased (p < 0.05, TAC-SE vs. TAC-EX). The expression of ß3-AR was significantly reduced (p < 0.05, TAC-SE vs. TAC-EX), and adiponectin was significantly increased (p < 0.05, TAC-SE vs. TAC-EX) in PVAT. Regular aerobic exercise can effectively prevent arterial stiffness and extracellular matrix (ECM) remodeling in the developmental course of HF, during which sympathetic innervation and adiponectin within PVAT might be strongly implicated.

Outline, Divergence Times, and Phylogenetic Analyses of Trechisporales (Agaricomycetes, Basidiomycota).

Phylogenetic analyses inferred from the nuc rDNA ITS1-5.8S-ITS2 (ITS) data set and the combined 2-locus data set [5.8S + nuc 28S rDNA (nLSU)] of taxa of Trechisporales around the world show that Sistotremastrum family forms a monophyletic lineage within Trechisporales. Bayesian evolutionary and divergence time analyses on two data sets of 5.8S and nLSU sequences indicate an ancient divergence of Sistotremastrum family from Hydnodontaceae during the Triassic period (224.25 Mya). Sistotremastrum family is characterized by resupinate and thin basidiomata, smooth, verruculose, or odontoid-semiporoid hymenophore, a monomitic hyphal structure, and generative hyphae bearing clamp connections, the presence of cystidia and hyphidia in some species, thin-walled, smooth, inamyloid, and acyanophilous basidiospores. In addition, four new species, namely, Trechispora dentata, Trechispora dimitiella, Trechispora fragilis, and Trechispora laevispora, are described and illustrated. In addition, three new combinations, namely, Brevicellicium daweishanense, Brevicellicium xanthum, and Sertulicium limonadense, are also proposed.

Intelligent Diagnosis of Rolling Element Bearing Based on Refined Composite Multiscale Reverse Dispersion Entropy and Random Forest.

Rolling bearings are the vital components of large electromechanical equipment, thus it is of great significance to develop intelligent fault diagnoses for them to improve equipment operation reliability. In this paper, a fault diagnosis method based on refined composite multiscale reverse dispersion entropy (RCMRDE) and random forest is developed. Firstly, rolling bearing vibration signals are adaptively decomposed by variational mode decomposition (VMD), and then the RCMRDE values of 25 scales are calculated for original signal and each decomposed component as the initial feature set. Secondly, based on the joint mutual information maximization (JMIM) algorithm, the top 15 sensitive features are selected as a new feature set and feed into random forest model to identify bearing health status. Finally, to verify the effectiveness and superiority of the presented method, actual data acquisition and analysis are performed on the bearing fault diagnosis experimental platform. These results indicate that the presented method can precisely diagnose bearing fault types and damage degree, and the average identification accuracy rate is 97.33%. Compared with the refine composite multiscale dispersion entropy (RCMDE) and multiscale dispersion entropy (MDE), the fault diagnosis accuracy is improved by 2.67% and 8.67%, respectively. Furthermore, compared with the RCMRDE method without VMD decomposition, the fault diagnosis accuracy is improved by 3.67%. Research results prove that a better feature extraction technique is proposed, which can effectively overcome the deficiency of existing entropy and significantly enhance the ability of fault identification.

Two new brown rot polypores from tropical China.

Brown-rot fungi are types of fungi that selectively degrade cellulose and hemicellulose from wood and are perhaps the most important agents involved in the degradation of wood products and dead wood in forest ecosystem. Two new brown-rot species, collected from southern China, are nested within the clades of Fomitopsis sensu stricto and Oligoporus sensu stricto, respectively. Their positions are strongly supported in the Maximum Likelihood phylogenetic tree of the concatenated the internal transcribed spacer (ITS) regions, the large subunit of nuclear ribosomal RNA gene (nLSU), the small subunit of nuclear ribosomal RNA gene (nuSSU), the small subunit of mitochondrial rRNA gene (mtSSU), the largest subunit of RNA polymerase II (RPB1), the second largest subunit of RNA polymerase II (RPB2) and the translation elongation factor 1-α gene (TEF1) sequences. Fomitopsisbambusae, only found on bamboo, is characterised by its resupinate to effused-reflexed or pileate basidiocarps, small pores (6-9 per mm), the absence of cystidia, short cylindrical to oblong-ellipsoid basidiospores measuring 4.2-6.1 × 2-2.3 µm. Oligoporuspodocarpi is characterised by white to pale cream pore surface, round or sometimes angular pores (5-6 per mm), broadly ellipsoid to reniform basidiospores measuring 3.8-4.2 × 2-2.3 µm and growing on Podocarpus. Illustrated descriptions of these two novel species, Fomitopsisbambusae and Oligoporuspodocarpi, are provided.

Phylogeny and diversity of Bjerkandera (Polyporales, Basidiomycota), including four new species from South America and Asia.

Four new species of Bjerkandera, viz. B. ecuadorensis, B. fulgida, B. minispora, and B. resupinata spp. nov., are described from tropical America and Asia. B. ecuadorensis is characterised by dark grey to black pore surface, a monomitic hyphal system, hyaline to yellowish-brown generative hyphae, and ellipsoid basidiospores measuring 3.9-4.5 × 2.7-3 µm. B. fulgida is distinguished from the other species in the genus by clay buff to pale brown and shiny pore surface. B. minispora is characterised by white tomentose pore mouth and small basidiospores measuring 3.1-4.2 × 2-2.8 µm. B. resupinata is characterised by resupinate basidiomata, pinkish buff to pale brownish pore surface, and ellipsoid to broadly ellipsoid basidiospores measuring 4.5-6 × 3.2-4.1 µm. All these new species grow on angiosperm trunks or rotten wood, and cause a white rot. The closely related taxa to four new species are discussed. An identification key to the ten accepted species of Bjerkandera is provided, and a phylogeny comprising all known Bjerkandera species is provided.

GPR120 promotes radiation resistance in esophageal cancer via regulating AKT and apoptosis pathway.

The aim of the study is to investigate the role of GPR120 on the biological behavior of esophageal cancer cells in the setting of radiation and explore the mechanism. GPR120 knockdown was fulfilled by siRNA-mediated effects in two esophageal cancer cell lines Eca109 and EC9706. Colony formation, survival fraction calculation, viable cell evaluation by cell counting kit-8 assay and cell apoptosis analysis by phycoerythrin annexin V and 7-amino-actinomycin (7-AAD) staining and the flow cytometry examination was evaluated in Eca109 and EC9706 under the treatment of different radiation dosage. The mechanisms were explored by the evaluation of the Akt pathway and apoptosis protein level. Significantly decreased GPR120 mRNA and protein after GPR120 siRNA treatment compared to control siRNA treatment. Significantly decreased colony formation was found in GPR120 siRNA-treated Eca109 and EC9706 cells compared to control siRNA-treated cells at the radiation dosage of 2, 4, 6 and 8 Gy. Moreover, decreased survival fraction number with increased sensitive enhancing ratio was also found in GPR120 siRNA-treated Eca109 and EC9706 cells compared to control siRNA-treated cells. Decreased cell viability and increased cell apoptosis in GPR120 siRNA-treated esophageal cancer cells. GPR120 siRNA decreased the Akt phosphorylation and anti-apoptotic Bcl-2 expression level, but increased pro-apoptotic Bim expression level in esophageal cancer cell lines. GPR120 regulated the biological behavior of the esophageal cancer cells via affecting Akt pathway and apoptosis molecules. Moreover, GPR120 siRNA combined radiation treatment could be a therapeutic choice for esophageal cancer.

Two new species of Perenniporia (Polyporales, Basidiomycota).

Two new species of Perenniporia, P. pseudotephropora sp. nov. and P. subcorticola sp. nov., are introduced respectively from Brazil and China based on morphological characteristics and molecular data. Perenniporia pseudotephropora is characterised by perennial, pileate basidiocarps with distinctly stratified tubes, grey pores, tissues becoming dark in KOH, a dimitic hyphal system with slightly dextrinoid arboriform skeletal hyphae and broadly ellipsoid to subglobose, truncate, weakly dextrinoid, cyanophilous basidiospores, measuring 4.9-5.2 × 4-4.8 µm. Perenniporia subcorticola is characterised by resupinate basidiocarps, yellow pores with thick dissepiments, tissues becoming dark in KOH, flexuous skeletal hyphae, ellipsoid, truncate and slightly dextrinoid basidiospores, measuring 4.2-5 × 3.5-4.2 µm. The morphologically-similar species and phylogenetically closely-related species to the two new species are discussed.

[Curative Effect of Jiedu Shengji Recipe in Preventing and Treating Acute Radiation Esophagitis in Radiotherapy Induced Esophageal Carcinoma Patients].

OBJECTIVE: To observe the curative effect of Jiedu Shengji Recipe (JSR) in preventing and treating acute radiation esophagitis in radiotherapy induced esophageal carcinoma patients. METHODS: Totally 86 mid-late stage esophageal carcinoma patients were assigned to the treatment group and the control group according to random digit table, 43 in each group. All patients received concurrent radiochemotherapy. Patients in the treatment group took JSR from starting the radiotherapy, one dose per day for 8 successive weeks, while those in the control group took mixture of dexamethasone, lido- caine, and gentamicin, 10 mL each time, taken before radiation and within 30 min after radiation, discontinued till the end of radiation. The occurrence time of acute radiation esophagitis and, duration of symptoms, esophageal radioactive damage degree, curative effect, improvement rate of Karnofsky performance scale (KPS) , and the incidence of adverse reactions were observed in the two groups. RESULTS: Compared with the control group, the occurrence time of acute radiation esophagitis was prolonged (15. 46±3. 37 days vs 10.23±2.46 days) , and duration of symptoms was shortened (20.18±4.56 days vs 26. 17±3. 26 days) in the treatment group, with statistical difference (P <0. 01). In the treatment group the occurrence rate of mid and high level (degree II to degree IV) acute radiation esophagitis was lower than that of the control group (Z =3. 34, P <0. 01). The total effective rate was 95. 35% (41/43) in the treatment group and 67. 44% (29/43) in the control group, with statistical difference between the two groups (X² =11.06, P<0.01 ). The improvement rate of KPS were higher in the treatment group than in the control group [65. 12% (28/43) vs 27.91% (12/43) ; X² =11.97, P <0. 01]. The incidence of adverse reactions were lower in the treatment group than in the control group with statistical difference [9.30% (4/43) vs 34. 88% (15/43) ; X²=8.17, P <0. 01]. CONCLUSION: JSR had better effect for preventing and treating moderate and severe acute radiation esophagitis in concurrent chemoradiotherapy induced esophageal carcinoma patients.