Epididymal cysts in children: frequency, clinical characteristics, and management strategies.

Background: Epididymal cysts (ECs) are uncommon in the pediatric population. The objective of this study was to evaluate the frequency, clinical characteristics, and management strategies of ECs in children. Methods: We performed a retrospective review of pediatric scrotal ultrasounds between January 2014 and August 2022 to identify children with ECs. Results: One hundred and forty-three children boys were found to have ECs, with 95 being pre-pubertal and 48 post-pubertal. The age of the patients ranged from 1 day to 18 years, with a mean age of 10.64 ± 4.55 years. The size of the cysts varied from 2 mm to 35 mm. The most common comorbidities observed were hydrocele, testicular microlithiasis and varicocele. The majority of ECs were detected through routine physical examination. Conservative management was employed for all patients, except for one who required surgical excision. Resolution of ECs occurred in 12 patients, while a reduction in cyst size was observed in 6 cases. Conversely, 2 patients experienced an increase in cyst size, and 6 patients exhibited an increase in cyst number during the follow-up period. Conclusion: Conservative management is the preferred approach for the majority of cases, with surgical intervention reserved for specific instances.

A joint entity Relation Extraction method for document level Traditional Chinese Medicine texts.

Chinese medicine is a unique and complex medical system with complete and rich scientific theories. The textual data of Traditional Chinese Medicine (TCM) contains a large amount of relevant knowledge in the field of TCM, which can serve as guidance for accurate disease diagnosis as well as efficient disease prevention and treatment. Existing TCM texts are disorganized and lack a uniform standard. For this reason, this paper proposes a joint extraction framework by using graph convolutional networks to extract joint entity relations on document-level TCM texts to achieve TCM entity relation mining. More specifically, we first finetune the pre-trained language model by using the TCM domain knowledge to obtain the task-specific model. Taking the integrity of TCM into account, we extract the complete entities as well as the relations corresponding to diagnosis and treatment from the document-level medical cases by using multiple features such as word fusion coding, TCM lexicon information, and multi-relational graph convolutional networks. The experimental results show that the proposed method outperforms the state-of-the-art methods. It has an F1-score of 90.7% for Name Entity Recognization and 76.14% for Relation Extraction on the TCM dataset, which significantly improves the ability to extract entity relations from TCM texts. Code is available at https://github.com/xxxxwx/TCMERE.

Diagnosis knowledge constrained network based on first-order logic for syndrome differentiation.

Traditional Chinese medicine (TCM) has been recognized worldwide as a valuable asset of human medicine. The procedure of TCM is to treatment based on syndrome differentiation. However, the effect of TCM syndrome differentiation relies heavily on the experience of doctors. The gratifying progress of machine learning research in recent years has brought new ideas for TCM syndrome differentiation. In this paper, we propose a deep network model for TCM syndrome differentiation, which improves network performance by injecting TCM syndrome differentiation knowledge in the form of first-order logic into the deep network. Experimental results show that the accuracy of our proposed model reaches 89%, which is significantly better than the deep learning model MLP and other traditional machine learning models. In addition, we present the collected and formatted TCM syndrome differentiation (TSD) dataset, which contains more than 40,000 TCM clinical records. Moreover, 45 symptoms (""), 322 patterns(""), and more than 500 symptoms are labeled in TSD respectively. To the best of our knowledge, this is the first TCM syndrome differentiation dataset labeling diseases, syndromes and pattern. Such detailed labeling is helpful to explore the relationship between various elements of syndrome differentiation.

FedADT: An Adaptive Method Based on Derivative Term for Federated Learning.

Federated learning is served as a novel distributed training framework that enables multiple clients of the internet of things to collaboratively train a global model while the data remains local. However, the implement of federated learning faces many problems in practice, such as the large number of training for convergence due to the size of model and the lack of adaptivity by the stochastic gradient-based update at the client side. Meanwhile, it is sensitive to noise during the optimization process that can affect the performance of the final model. For these reasons, we propose Federated Adaptive learning based on Derivative Term, called FedADT in this paper, which incorporates adaptive step size and difference of gradient in the update of local model. To further reduce the influence of noise on the derivative term that is estimated by difference of gradient, we use moving average decay on the derivative term. Moreover, we analyze the convergence performance of the proposed algorithm for non-convex objective function, i.e., the convergence rate of 1/nT can be achieved by choosing appropriate hyper-parameters, where n is the number of clients and T is the number of iterations, respectively. Finally, various experiments for the image classification task are conducted by training widely used convolutional neural network on MNIST and Fashion MNIST datasets to verify the effectiveness of FedADT. In addition, the receiver operating characteristic curve is used to display the result of the proposed algorithm by predicting the categories of clothing on the Fashion MNIST dataset.

Endophytic Bacillus sp. AP10 harboured in Arabis paniculata mediates plant growth promotion and manganese detoxification.

Phytoremediation of heavy metal-polluted soils assisted by plant-associated endophytes, is a suitable method for plant growth and manganese (Mn) removal in contaminated soils. This investigation was conducted to evaluate the Mn-resistant endophytic resources of the Mn hyperaccumulator Arabis paniculata and their functions in the phytoremediation of Mn2+ toxicity. This study isolated an endophytic bacterium with high Mn resistance and indole-3-acetic acid (IAA) production form A. paniculata and identified it as Bacillus sp. AP10 using 16 S rRNA gene sequencing analysis. The effects of Bacillus sp. AP10 on the alleviation of Mn2+ toxicity in Arabidopsis thaliana seedlings and the molecular mechanisms were further investigated using biochemical tests and RNA-seq analysis. Under Mn2+ stress, Bacillus sp. AP10 increased the biomass, chlorophyll content and the translocation factor (TF) values of Mn in the aerial parts, while decreased the malondialdehyde (MDA) content of A. thaliana seedlings compared with that of control plants. The differentially expressed genes (DEGs) and enrichment analysis showed that Bacillus sp. AP10 could significantly increase the expression of key genes involved in cell-wall loosening, which may improve plant growth under Mn stress. Superoxide dismutase (SOD)-encoding genes were detected as DEGs after AP10 treatment. Moreover, AP10 regulated the expression of genes responsible for phenylpropanoid pathway, which may promote antioxidant flavonoids accumulation for reactive oxygen species (ROS) scavenging to improve Mn tolerance. The activation of ATP-binding cassette (ABC) transporter gene expression especially ABCB1 after AP10 stimulation, explained the elevation of metal ion binding or transport related to enhanced Mn accumulation in plants. Futhermore, AP10 might alleviate Mn toxicity through enhancing abscisic acid (ABA) responsive gene expression and ABA biosynthesis. These findings provide new insights into the functions and regulatory mechanism of Bacillus sp. AP10 in promoting plant growth, and tolerance, improving Mn accumulation and alleviating Mn2+ toxicity in plants. The application of Bacillus sp. AP10 as potential phytoremediators may be a promising strategy in Mn2+ contaminated fields. AVAILABILITY OF DATA AND MATERIALS: The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

First Report of Pestalotiopsis trachicarpicola Causing Leaf Blight on Panax notoginseng in China.

Panax notoginseng (Burkill) F. H. Chen ex C. Y. Wu & K.M. Feng is a Chinese herbal medicinal plant for treating diseases of the central nervous system and cardiovascular system, widely used as a medicine and health-care product. In May 2022, leaf blight disease was found on leaves of 1-year-old P. notoginseng in the plantings （27.904°N, 112.918°E） of Xiangtan City (Hunan) with an area of 104 m2. Over 400 plants were investigated, up to 25% of the plants were symptomatic. From the margin of the leaf, the initial symptoms of water-soaked chlorosis and following dry yellow with slight shrinkage appeared. Later, leaf shrinkage became serious and chlorosis enlarged gradually, leading to leaf death and abscission. To identify the causal agent, 20 leaf lesions (4 mm2) collected from 20 individual 1-year-old plants were sterilized with 75% ethanol for 10 s, 5% NaOCl for 10 s, rinsed in sterilized water three times, placed on potato dextrose agar (PDA) with lactic acid (0.125%) for inhibition the growth of bacteria, and incubated at 28°C for 7 days (Fang, 1998). Five isolates were obtained from 20 leaf lesions of different plants with the isolation rate of 25% and purified by single sporing, which have similar colony and conidia morphology characteristics. One isolate PB2-a was selected randomly for further identification. Colonies of PB2-a on PDA were white with cottony mycelium, developing concentric circles (top view) or light yellow (back view). Conidia (23.1 ± 2.1 × 5.7 ± 0.8 µm, n=30)were fusiform, straight or slightly curved and contained conic basal cell, three light brown median cells and hyaline conic apical cell with appendages. The rDNA internal transcribed spacer (ITS), the translation elongation factor 1-alpha (tef1), and the ß-tubulin (TUB2) genes were amplified from genomic DNA of PB2-a using primers ITS4/ITS5 (White et al. 1990), EF1-526F/EF1-1567R (Maharachchikumbura et al. 2012), and Bt2a/Bt2b (Glass and Donaldson, 1995; O'Donnell and Cigelnik, 1997), respectively. BLAST search of sequenced ITS (OP615100), tef1 (OP681464) and TUB2 (OP681465) exhibited > 99% identity with the type strain of Pestalotiopsis trachicarpicola OP068 (JQ845947, JQ845946 and JQ845945). Phylogenetic tree of the concatenated sequences was constructed based on the maximum-likelihood method using MEGA-X. Isolate PB2-a was identified as P. trachicarpicola based on morphological and molecular data (Maharachchikumbura et al. 2011; Qi et al. 2022). PB2-a was tested for pathogenicity three times to confirm Koch's postulates. Twenty healthy leaves on 20 1-year-old plants were punctured with sterile needles and inoculated with 50 µl of conidial suspension (1×106 conidia/ml). The controls were inoculated with sterile water. All plants were placed in a greenhouse at 25°C under 80% relative humidity. After 7 days, all inoculated leaves developed leaf blight symptoms identical to those described above, whereas the control plants kept healthy. P. trachicarpicola were reisolated from infected leaves, and identical to those of the originals based on the colony characteristics and the sequenced data of ITS, tef1 and TUB2. P. trachicarpicola was reported as a pathogen of leaf blight on Photinia fraseri (Xu et al. 2022). To our knowledge, this is the first report of P. trachicarpicola causing leaf blight on P. notoginseng in Hunan, China. Leaf blight is one of the destructive diseases in P. notoginseng production, identification of the pathogen will be useful to develop effective disease management and protect P. notoginseng, a medical plant with economic value.

First Report of White Leaf Spot Caused by Hypomontagnella monticulosa on Pachira glabra in China.

Pachira glabra Pasq. is an ornamental tree widely distributed in tropical and subtropical regions of China. In August 2021, an unknown leaf spot was observed on P. glabra in Xiangtan County, Hunan, China (27.976°N, 113.041°E). Over 1,200 plants were evaluated, and up to 20% of the plants were diseased. In moderately diseased plants, approximately one third of leaves had symptoms with the disease severity estimated to be 31.6 ± 9.4% (n=100). The symptoms first appeared as pale yellow to yellow small dots often confined between leaf veins. These dots gradually enlarged, and coalesced into large pale or white spots with brown borders and yellow halo. In severe infections, early leaf death and defoliation occurred. Thirty lesions (2 × 2 mm) collected from ten trees were sterilized in 75% ethanol for 15 s, 5% sodium hypochlorite for 15 s, rinsed in sterile water three times, placed on oatmeal agar medium (OA) plate with lactic acid (3 ml/liter), and incubated at 28°C for 15 days. After incubation, five isolates with a similar morphology were obtained by single-spore culture. Colonies on OA were white and then turned pale grey. Pigments on the reverse side were pale brown. Conidiophores were hyaline, smooth to finely roughened, usually with virgariella-like branching patterns. Conidiogenouscells were hyaline, smooth, and measured 13.9 to 53.8 long and 1.5 to 2.3 µm wide (average 30.8 × 2.0, n=50). Conidia were single-celled, transparent, smooth, ellipsoid to obovoid, 2.3 to 4.6 × 1.7 to 3.1 µm (average 3.1 × 2.3, n=100) in measurement. For further molecular identification, internal transcribed spacer (ITS), ß-tubulin (TUB2), RNA polymerase II (RPB2), and large ribosomal subunit (LSU) genes of a representative isolate TT422 were amplified from genomic DNA, using primers ITS1/ITS4 (Mills et al. 1992), T1/T22 (O'Donnell et al. 1997), RPB2-5F/7cR (Liu et al. 2000), and LROR/LR7 (Rehner et al. 1994), respectively. Sequences of ITS (accession no. OM070368), TUB2 (OM201746), LSU (OM070369), and RPB2 (OM141478) from the isolate TT422 showed >98% identity where sequences overlapped to the reference strain of Hypomontagnella monticulosa MUCL 54604 (KY610404, KX271273, KY624305, and KY610487). Concatenated sequences were used for a phylogenetic analysis based on Maximum Likelihood using MEGA7. Based on morphological and molecular data, the isolate TT422 was identified as H. monticulosa (Ju & Rogers 1995; Lambert et al. 2019). Pathogenicity tests were performed three times on healthy leaves using the isolate TT422. Three leaves on one-year-old plants were slightly wounded by a sterile needle, and sprayed with conidial suspension (1×106 conidia/ml, containing 0.05% Tween 20) . Control leaves were sprayed with sterile water containing 0.05% Tween 20. All plants were kept in a greenhouse for 24 h at 28°C and 80% relative humidity, with a 16-h photoperiod and then transferred to natural conditions. All inoculated leaves developed white leaf spot symptoms after 7 days similar to those observed in the field, whereas no visible symptoms appeared on the control leaves. H. monticulosa strains were reisolated from all symptomatic leaves, fulfilling Koch's postulates. H. monticulosa isolated from marine or endophytic origin has been reported to produce bioactive metabolites with anticancer and microbial activities (Leman-Loubière et al. 2017; Lutfia et al. 2021; Zhang et al. 2021), but not as a phytopathogen. To our knowledge, this is the first report of H. monticulosa causing white leaf spot on P. glabra in China and worldwide.

First Report of Colletotrichum siamense Causing Leaf Anthracnose on Pachira glabra in China.

Pachira glabra Pasq.is an important landscape tree in southern China due to its ornamental value. Between March and April - 2021, anthracnose-like symptoms on P. glabra leaves were found in the botanical garden (27.904°N, 112.918°E) of Hunan University of Science and Technology located in Xiangtan of Hunan Province. Over 700 plants were evaluated, and up to 30% of the plants were symptomatic. On each plant, approximately 22% leaves had symptoms. Disease severity was estimated to be 15.6 ± 6.1% (n=100) in moderately diseased plants. Initially, subcircular or irregular shaped, water-soaked spots with pale green to yellow centers appeared mostly along leaf margins. Later, theses spots turned light brown to dark brown with black borders, gradually enlarged, and often coalesced into large sunken, necrotic areas, leading to early leaf death and abscission. Thirty lesions (2 × 2 mm) collected from ten trees were sterilized in 75% ethanol for 10 s, 2% sodium hypochlorite for 30 s, rinsed in sterile water three times, placed on potato dextrose agar (PDA) with lactic acid (3 ml/liter), and incubated at 28°C for 5 days. After incubation, six isolates with a similar morphology were obtained by single-sporing. Colonies on PDA were white and with age produced a light brown pigmentation on the underside of the colony. Acervuli present in aged cultures, brown to black, circular to subcircular and measured 31.9 to 108.7 µm (71.4 ± 6.2 µm, n=30). Conidia were single-celled, transparent, smooth, fusiform to cylindrical with obtuse to slightly ronded ends, and measured 7.8 to 11.1 µm long and 2.5 to 3.1 µm wide (9.3 ± 1.0 × 2.9 ± 0.7, n=100). For further molecular identification, Internal transcribed spacer (ITS), actin (ACT), glyceraldehyde-3-phosphate (GAPDH), calmodulin (CAL), and beta-tubulin (TUB2) genes of the isolates were amplified from genomic DNA, using primers ITS1/ITS4 (Mills et al. 1992), GDF/GDR (Cannon et al. 2012), ACT-512F/ACT-783R, CL1CF/CL2CR (Weir et al. 2012), and T1F/T22R (O'Donnell et al. 1997), respectively. Sequences of ITS (accession no. OM074029), ACT (OM190777), GAPDH (OM190778), CAL (ON210110), and TUB2 (ON210109) from CS-1 showed >98% identity where sequences overlapped to the reference strain of Colletotrichum siamense CBS 130420 (JX010259.1, JX009549.1, JX009974.1, JX009713.1 and JX010415.1). Concatenated sequences were used for a phylogenetic analysis based on Maximum Likelihood using MEGA-X. Based on morphological and molecular data, isolate CS-1 was identified as C. siamense (Cannon et al. 2012). . Pathogenicity tests were performed three times on healthy leaves using isolate CS1. Ten leaves on one-year-old plants were either slightly wounded by a sterile needle or unwounded, and inoculated with 10 µl of conidial suspension (1×106 conidia/ml, containing 0.05% Tween 20) per wound. The control plants were treated with sterile water. All plants were kept in a greenhouse for 24 h at 28°C and 80% relative humidity, with a 12-h photoperiod and then transferred to natural conditions. All wounded, inoculated leaves developed leaf spot symptoms after 14 days similar to those observed in the field, whereas no visible symptoms appeared on the intact and noninoculated leaves. C. siamense strains were reisolated from all symptomatic leaves, fulfilling Koch's postulates. C. siamense has been reported as a causal agent of anthracnose associated with diverse species (Udayanga et al. 2013), but not including P. glabra. To our knowledge, this is the first report of C. siamense causing anthracnose on P. glabra.

Testing the systematic status of Homalictus and Rostrohalictus with weakened cross-vein groups within Halictini (Hymenoptera: Halictidae) using low-coverage whole-genome sequencing.

The halictid genus Lasioglossum, as one of the most species-rich bee groups with persistently contentious subgeneric boundaries, is one of the most challenging bee groups from a systematic standpoint. An enduring question is the relationship of Lasioglossum and Homalictus, whether all halictine bees with weakened distal wing venation comprise one or multiple genera. Here, we analyzed the phylogenetic relationships among the subgroups within Lasioglossum s.l. based on thousands of single-copy orthologs and ultraconserved elements, which were extracted from 23 newly sequenced low-coverage whole genomes alongside a published genome (22 ingroups plus 2 outgroups). Both marker sets provided consistent results across maximum likelihood and coalescent-based species tree approaches. The phylogenetic and topology test results show that the Lasioglossum and Hemihalictus series are reciprocally monophyletic and Homalictus and Rostrohalictus are valid subgenera of Lasioglossum. Consequently, we lower Homalictus to subgenus status within Lasioglossum again, and we also raise Rostrohalictus to subgenus status from its prior synonymy with subgenus Hemihalictus. Lasioglossum przewalskyi is also transferred to the subgenus Hemihalictus. Ultimately, we redefine Lasioglossum to include all halictine bees with weakened distal wing venation.

The First Draft Genome of the Plasterer Bee Colletes gigas (Hymenoptera: Colletidae: Colletes).

Despite intense interest in bees, no genomes are available for the bee family Colletidae. Colletes gigas, one of the largest species of the genus Colletes in the world, is an ideal candidate to fill this gap. Endemic to China, C. gigas has been the focus of studies on its nesting biology and pollination of the economically important oil tree Camellia oleifera, which is chemically defended. To enable deeper study of its biology, we sequenced the whole genome of C. gigas using single-molecule real-time sequencing on the Pacific Bioscience Sequel platform. In total, 40.58 G (150×) of long reads were generated and the final assembly of 326 scaffolds was 273.06 Mb with a N50 length of 8.11 Mb, which captured 94.4% complete Benchmarking Universal Single-Copy Orthologs. We predicted 11,016 protein-coding genes, of which 98.50% and 84.75% were supported by protein- and transcriptome-based evidence, respectively. In addition, we identified 26.27% of repeats and 870 noncoding RNAs. The bee phylogeny with this newly sequenced colletid genome is consistent with available results, supporting Colletidae as sister to Halictidae when Stenotritidae is not included. Gene family evolution analyses identified 9,069 gene families, of which 70 experienced significant expansions (33 families) or contractions (37 families), and it appears that olfactory receptors and carboxylesterase may be involved in specializing on and detoxifying Ca. oleifera pollen. Our high-quality draft genome for C. gigas lays the foundation for insights on the biology and behavior of this species, including its evolutionary history, nesting biology, and interactions with the plant Ca. oleifera.

Reputation revision method for selecting cloud services based on prior knowledge and a market mechanism.

The trust levels of cloud services should be evaluated to ensure their reliability. The effectiveness of these evaluations has major effects on user satisfaction, which is increasingly important. However, it is difficult to provide objective evaluations in open and dynamic environments because of the possibilities of malicious evaluations, individual preferences, and intentional praise. In this study, we propose a novel unfair rating filtering method for a reputation revision system. This method uses prior knowledge as the basis of similarity when calculating the average rating, which facilitates the recognition and filtering of unfair ratings. In addition, the overall performance is increased by a market mechanism that allows users and service providers to adjust their choice of services and service configuration in a timely manner. The experimental results showed that this method filtered unfair ratings in an effective manner, which greatly improved the precision of the reputation revision system.

P-bRS: a physarum-based routing scheme for wireless sensor networks.

Routing in wireless sensor networks (WSNs) is an extremely challenging issue due to the features of WSNs. Inspired by the large and single-celled amoeboid organism, slime mold Physarum polycephalum, we establish a novel selecting next hop model (SNH). Based on this model, we present a novel Physarum-based routing scheme (P-bRS) for WSNs to balance routing efficiency and energy equilibrium. In P-bRS, a sensor node can choose the proper next hop by using SNH which comprehensively considers the distance, energy residue, and location of the next hop. The simulation results show how P-bRS can achieve the effective trade-off between routing efficiency and energy equilibrium compared to two famous algorithms.

Leukemia inhibitory factor receptor α-chain: a potential method for acute promyeloid leukemia therapy.

Leukemia inhibitory factor (LIF) affects multiple types of leukemia cells in vitro through its functional receptor LIFR, which comprises a complex of the LIFR α-chain (LIFRα) and gp130. Researchers have recently observed that the C-terminus of the LIFRα cytoplasmic domain contains as many conserved YXXQ motifs as gp130 (C-terminal triple YXXQ motifs, LIFRα-CT3), whose free structure has been shown to be capable of activating STAT3 phosphorylation in the cytoplasm and consequently activating STAT3-related downstream molecules in the nucleus. This process can induce pathological acute myeloid leukemia (AML) or acute promyeloid leukemia (APL) cells to differentiate into mature granulocytes, simulating the LIF-related differential cascade. This process reduces or inhibits the side effects caused by toxic all-trans retinoid acid (ATRA), which has long been used as a fundamental medication for treating AML/APL in clinical practice despite its related high relapse rate. Therefore, we believe that it is possible to maximize the beneficial effects of LIF by enriching LIFRα-CT3 in AML/APL cell cytoplasm. The aims of this work were to enrich LIFRα-specific motifs in leukemia cells using molecular biological methods and evaluate the use of membrane-permeable polypeptides as a novel possible AML/APL therapy in combination with or independent of ATRA-based chemotherapy.