Irregular Edges Research Articles

Associations of psychological status and ultrasonic characteristics of thyroid nodules in adults during the COVID-19 pandemic.

The morbidity of thyroid cancer has been increasing in the last decades all over the world. In addition to the more sensitive thyroid nodule screening technology, several social and environmental factors might represent credible candidates for this increase. They include psychological stress, lifestyle-associated risk factors, nutritional deficiencies, and environmental pollutants. Foremost, psychological stress had gained high interest as a possible promoter and a modifiable risk factor for thyroid nodules in recent years. The present study was to investigate the clinical characteristics and psychological status of the population during the peak of coronavirus disease 2019 (COVID-19) and assessed the association of psychosocial determinants and the ultrasonic characteristics of thyroid nodules. In this cross-sectional study, 490 adult subjects who had received at least two doses of COVID-19 vaccine and were not infected with COVID-19, and did not know whether they had thyroid nodules, received thyroid color ultrasound examination and psychological questionnaire survey. Depression, anxiety, and stress were assessed using Depression Anxiety Stress Scales-21 (DASS-21). Sleep quality was rated using the Pittsburgh sleep quality index (PQSI). The characteristics of 243 subjects with thyroid nodules were described and recorded in detail by thyroid color ultrasound, and the correlations between anxiety, depression, sleep quality, clinical indicators, and thyroid nodule ultrasound characteristics were analyzed. Associations between psychological status (mutually adjusted predictors) and ultrasonic characteristics of thyroid nodules (outcome) were modeled using binary logistic regression controlling for sex, age, BMI, TSH, FT3, and FT4. Depression was positively correlated with thyroid hypoechoic nodule (OR = 3.720, 95%CI 1.615-8.570), microcalcification of thyroid nodule (OR = 3.638, 95%CI 1.476-8.966), the aspect ratio of thyroid nodule>1 (OR = 3.860, 95%CI 1.052-14.161), the unclear boundary of thyroid nodule (OR = 4.254, 95%CI 1.359-13.312), and the irregular edge of thyroid nodule (OR = 4.134, 95%CI 1.810-9.439). Anxiety was positively correlated with microcalcification of thyroid nodules (OR = 4.319, 95%CI 1.487-11.409). Stress was positively correlated with thyroid hypoechoic nodules (OR = 4.319, 95%CI 1.487-11.409), microcalcification of thyroid nodules (OR = 2.724, 95%CI 1.038-7.151), and the irregular edge of thyroid nodules (OR = 2.478, 95%CI 1.077-5.705). This study demonstrates that depression, anxiety, and stress were associated with the morbidity of thyroid nodules and thyroid ultrasound characteristics. During COVID-19, people's negative emotions increased significantly compared to before. Negative emotions might be harmful to thyroid health. Therefore, during periods of high stress, strategies to prevent psychological problems should be implemented to improve thyroid health.

Oyster Mushroom Spherical Virus Crosses the Species Barrier and Is Pathogenic to a New Host Pleurotus pulmonarius.

Oyster mushroom spherical virus (OMSV) is a mycovirus with a positive-sense single-stranded RNA genome that infects the edible mushroom Pleurotus ostreatus. OMSV is horizontally transferred from an infected strain to a cured strain via mycelia. The infection results in significant inhibition of mycelial growth, malformation of fruiting bodies, and yield loss in oyster mushrooms. This study successfully transferred OMSV from P. ostreatus to Pleurotus pulmonarius. However, transmission was not successful in other Pleurotus species including P. citrinopileatus, P. eryngii, P. nebrodensis, and P. salmoneostramineus. The successful OMSV infection in P. pulmonarius was further verified with Western blot analysis using a newly prepared polyclonal antiserum against the OMSV coat protein. Furthermore, OMSV infection reduced the mycelial growth rate of P. pulmonarius. The OMSV-infected strain demonstrated abnormal performance including twisted mushrooms or irregular edge of the cap as well as reduced yield of fruiting bodies in P. pulmonarius, compared to the OMSV-free strain. This study is the first report on the infection and pathogenicity of OMSV to the new host P. pulmonarius. The data from this study therefore suggest that OMSV is a potential threat to P. pulmonarius.

Imaging evaluation of para-aortic lymph nodes in cervical cancer.

In recent years, much literature has reported the diagnostic value of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET)-CT in para-aortic lymph node metastasis of cervical cancer. To compare and analyze the para-aortic lymph node presentations found in cervical cancer on different images in order to determine the best precise imaging method for identifying metastatic lymph nodes. PubMed, Web of Science, MEDLINE, and other databases were searched for the non-invasive detection of metastatic lymph nodes for a comprehensive comparison. Positive lymph nodes on CT are significantly related to the following factors: short axis ≥10 mm; and round or central necrosis. Positive lymph nodes on MRI are significantly related to the following factors: short axis ≥8 mm; inhomogeneous signal intensity; morphology: round, irregular edge, extracapsular invasion, central necrosis, loss of lymph node structure, burrs, or lobes; and ADC value decreases, combined with local actuality. On PET-CT examination, when the short axis of the lymph node is >5 mm, the SUV is >2.5, or the FDG uptake is greater than that of the surrounding tissue, it is a metastatic lymph node. In conclusion, different imaging techniques show metastatic lymph nodes in different ways. Combining the patient's medical history with the symptoms of the aforementioned lymph nodes, together with one or more imaging techniques, is important to diagnose para-aortic lymph nodes in cervical cancer.

Machine learning for underwater laser detection and differentiation of macroalgae and coral

A better understanding of how spatial distribution patterns in important primary producers and ecosystem service providers such as macroalgae and coral are affected by climate-change and human activity-related events can guide us in anticipating future community and ecosystem response. In-person underwater field surveys are essential in capturing fine and/or subtle details but are rarely simple to orchestrate over large spatial scale (e.g., hundreds of km). In this work, we develop an automated spectral classifier for detection and classification of various macroalgae and coral species through a spectral response dataset acquired in a controlled setting and via an underwater multispectral laser serial imager. Transferable to underwater lidar detection and imaging methods, laser line scanning is known to perform in various types of water in which normal photography and/or video methods may be affected by water optical properties. Using off the shelf components, we show how reflectance and fluorescence responses can be useful in differentiating algal color groups and certain coral genera. Results indicate that while macroalgae show many different genera and species for which differentiation by their spectral response alone would be difficult, it can be reduced to a three color-type/class spectral response problem. Our results suggest that the three algal color groups may be differentiated by their fluorescence response at 580 nm and 685 nm using common 450 nm, 490 nm and 520 nm laser sources, and potentially a subset of these spectral bands would show similar accuracy. There are however classification errors between green and brown types, as they both depend on Chl-a fluorescence response. Comparatively, corals are also very diverse in genera and species, and reveal possible differentiable spectral responses between genera, form (i.e., soft vs. hard), partly related to their emission in the 685 nm range and other shorter wavelengths. Moreover, overlapping substrates and irregular edges are shown to contribute to classification error. As macroalgae are represented worldwide and share similar photopigment assemblages within respective color classes, inter color-class differentiability would apply irrespective of their provenance. The same principle applies to corals, where excitation-emission characteristics should be unchanged from experimental response when investigated in-situ.

First report of Phyllosticta capitalensis causing leaf spot of Mahonia fortunei in China.

Mahonia fortunei, belonging to the Berberidaceae family, is widely cultivated in fields, parks, courtyards, and roadsides for its excellent ornamental characteristics and medicinal values in southern China (Yu and Chung 2017). In May 2021, leaf spots were observed on nearly 60~80% of M. fortunei plants growing in Chongqing Normal University campus (29°36'42″N; 106°17'59″E) from Chongqing City, China. The typical symptoms on leaves were irregular spots with gray centers, brown edges, and chlorotic halos, about 1 to 7 mm in diameter, and eventually coalesced forming larger necrotic areas. Twenty symptomatic leaves were randomly sampled from five diseased plants. Tissues were cut from the lesion margins and surface sterilized in 75% ethanol for 1 min, rinsed thrice with sterile water, dried on sterilized paper, plated on potato dextrose agar (PDA) plates, and incubated at 25°C for 7 days in the dark. A total of 20 isolates were obtained from the infected leaves. Pure colonies of all fungal isolates had similar characteristics, and three isolates were randomly selected (SD11, SD18, SD19) for further study. Colonies of this fungus were olivaceous greenish to olivaceous black with a granular surface, and irregular light olive edges, finally turning black on PDA. Pycnidia were black, globose, granular, and in clusters. Conidia (n=30) were hyaline, aseptate, unicellular, obovoid to ellipsoid, narrow end with single apical appendage, and 7.5~11.2 × 4.5 ~6.5 μm. The DNA of three isolates were extracted and the internal transcribed spacer (ITS) region, actin (ACT), and translation elongation factor 1-α (TEF1) genes were amplified and sequenced using the primers ITS1/ITS4 (White et al. 1990), ACT512F/ACT783R, and ER728F/EF986R (Carbone and Kohn 1999), respectively. The sequences of three isolates were 100% identical, and one representative isolate SD18 were deposited in GenBank (ON231754, ITS; ON246259, ACT; and ON246258, TEF1). Sequence analysis revealed that the consensus sequences of ITS, ACT, and TEF1 of isolate SD18 was 99 to 100% identical to each sequence of an Indonesian strain (CBS 117118) of P. capitalensis from Musa acuminate (FJ538339 for ITS, FJ538455 for ACT, FJ538397 for TEF1). Phylogenetic analysis using Maximum Likelihood and concatenated sequences (ITS+ACT+TEF1) with MEGA7 placed isolate SD18 in P. capitalensis with 100% bootstrap support. Based on these morphological and molecular characteristics, the isolates were identified as P. capitalensis (Wikee et al. 2013). To fulfill Koch's postulates, 8 healthy potted plants were inoculated with 106 conidia/ml suspension of isolate SD18 by spraying the leaves, and another 8 plants were sprayed with sterile distilled water as control. All plants were covered with plastic bags for two days and then arranged in a greenhouse with 80% relative humidity at 25°C. The pathogenicity test was repeated thrice. After 18 days inoculation, the similar symptoms were observed on the inoculated plants, whereas control plants remained healthy. The pathogen was reisolated from symptomatic tissue and identified as P. capitalensis by the methods described above. P. capitalensis has been reported causing leaf spot on various host plants around the world (Wikee et al. 2013), recently found on tea plant, castor, and oil palm (Cheng et al. 2019; Tang et al. 2020; Nasehi et al. 2020). This is the first report of P. capitalensis causing leaf spot on M. fortune in China, and will establish a foundation for controlling the disease.

Investigations on dross formation susceptibility in laser fusion cutting of different stainless steel compositions with emphasis on minor element effects

The problem of variable susceptibility to dross formation or cast-to-cast variations in the performance of solid-state laser fusion cutting of 2 mm stainless steel sheets is investigated. The conducted study considered five different steel batches that each fully meets the material specifications of AISI 304 steel but show variations in minor element concentrations, particularly with respect to the sulfur content. Based on the hypothesis that the dross formation phenomenon correlates with surface tension and viscosity of the melt, the general melt flow behavior of the batches was first characterized by complementary experimental and simulative investigations. This combined approach allowed for a qualitative distinction of batches with a primary negative or positive temperature coefficient (NTC/PTC) of surface tension. Subsequent cutting experiments on qualitatively different batches with variations in cutting speed and gas pressure give evidence that an experienced wider processing window for dross-free cuts relates to PTC batches. However, these batches showed more irregular cut edge topography with slightly increased roughness values. It is consequently concluded that proper quality management in laser cutting of different batches of a material needs to consider the real composition of the materials being cut.

Visual-perceptive assessment of glottic characteristics of vocal nodules by means of high-speed videoendoscopy

ObjectiveVisual-perceptive assessment of glottic characteristics of vocal nodules by means of high-speed videoendoscopy. MethodsDescriptive observational research with convenience sampling of five laryngeal videos of women with an average age of 25 years. The diagnosis of vocal nodules was defined by two otolaryngologists, with 100% intra-rater agreement and 53.40% inter-rater agreement and five otolaryngologists as judge assessed the laryngeal videos based on an adapted protocol. The statistical analysis calculated measures of central tendency and dispersion, as well as percentage. The AC1 coefficient was used for agreement analysis. ResultsIn high-speed videoendoscopy imaging, vocal nodules are characterized by amplitude of the mucosal wave and muco-undulatory movement with magnitude between 50% and 60%. Non-vibrating segments of vocal folds are scarce, and the glottal cycle does not show a predominant phase, it is symmetric and periodic. Glottal closure is characterized by the presence of a mid-posterior triangular chink (double chink or isolated mid-posterior triangular chink), without movement of supraglottic laryngeal structures, with irregular contour of the free edge of vocal folds, which are vertically on-plane. ConclusionVocal nodules present mid-posterior triangular chink and irregular free edge contour. Amplitude and mucosal wave were partially reduced. Level of evidenceLevel 4 (Case-series).

Influence of Cutting Process on the Flanging Formability of the Cut Edge for DP980 Steel

Flanging is a key process in the forming of automobile parts and is influenced by the cutting process before it. In this paper, a set of self-designed tools is adopted. The flanging height and flanging radius are specified as the indexes to investigate the influence of the cutting process on the flanging formability of DP980 steel. Microstructure, microhardness, and tensile properties are tested to evaluate the formability of cut edges. The results show that the flanging formability is positively correlated with an increase in flanging height and a decrease in flanging radius. The flanging formability of six cut edges can be ranked as: LC-L > LC-H > WEDM-HS > WEDM-LS > CNC milling > WJC. In the LC process, acicular martensite is formed and the microhardness of the cut edge significantly increases, with a heat-affected zone of about 150 μm. More and larger microvoids are found on the edge of WEDM-LS than WEDM-HS, which reduces the formability to a certain extent. Plastic deformation of the edges is the reason for the decrease in the formability of CNC milling. For WJC, the formation of irregular edge damage and the generation of burrs are the main reasons for the unstable performance. This research is helpful in guiding the selection of the cutting process, and it may contribute to a high part formability for DP980 steel.

Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN

AbstractTropical forests are a major component of the global carbon cycle and home to two‐thirds of terrestrial species. Upper‐canopy trees store the majority of forest carbon and can be vulnerable to drought events and storms. Monitoring their growth and mortality is essential to understanding forest resilience to climate change, but in the context of forest carbon storage, large trees are underrepresented in traditional field surveys, so estimates are poorly constrained. Aerial photographs provide spectral and textural information to discriminate between tree crowns in diverse, complex tropical canopies, potentially opening the door to landscape monitoring of large trees. Here we describe a new deep convolutional neural network method, Detectree2, which builds on the Mask R‐CNN computer vision framework to recognize the irregular edges of individual tree crowns from airborne RGB imagery. We trained and evaluated this model with 3797 manually delineated tree crowns at three sites in Malaysian Borneo and one site in French Guiana. As an example application, we combined the delineations with repeat lidar surveys (taken between 3 and 6 years apart) of the four sites to estimate the growth and mortality of upper‐canopy trees. Detectree2 delineated 65 000 upper‐canopy trees across 14 km2 of aerial images. The skill of the automatic method in delineating unseen test trees was good (F1 score = 0.64) and for the tallest category of trees was excellent (F1 score = 0.74). As predicted from previous field studies, we found that growth rate declined with tree height and tall trees had higher mortality rates than intermediate‐size trees. Our approach demonstrates that deep learning methods can automatically segment trees in widely accessible RGB imagery. This tool (provided as an open‐source Python package) has many potential applications in forest ecology and conservation, from estimating carbon stocks to monitoring forest phenology and restoration.Python package available to install at https://github.com/PatBall1/Detectree2.

Segmentation of rectal tumor from multi-parametric MRI images using an attention-based fusion network.

Accurate segmentation of rectal tumors is the most crucial task in determining the stage of rectal cancer and developing suitable therapies. However, complex image backgrounds, irregular edge, and poor contrast hinder the related research. This study presents an attention-based multi-modal fusion module to effectively integrate complementary information from different MRI images and suppress redundancy. In addition, a deep learning-based segmentation model (AF-UNet) is designed to achieve accurate segmentation of rectal tumors. This model takes multi-parametric MRI images as input and effectively integrates the features from different multi-parametric MRI images by embedding the attention fusion module. Finally, three types of MRI images (T2, ADC, DWI) of 250 patients with rectal cancer were collected, with the tumor regions delineated by two oncologists. The experimental results show that the proposed method is superior to the most advanced image segmentation method with a Dice coefficient of [Formula: see text], which is also better than other multi-modal fusion methods. Framework of the AF-UNet. This model takes multi-modal MRI images as input, and integrates complementary information using attention mechanism and suppresses redundancy.

On decomposing multigraphs into locally irregular submultigraphs

A locally irregular multigraph is a multigraph whose adjacent vertices have distinct degrees. The locally irregular edge coloring is an edge coloring of a multigraph G such that every color induces a locally irregular submultigraph of G. We say that a multigraph G is locally irregular colorable if it admits a locally irregular edge coloring and we denote by lir(G) the locally irregular chromatic index of G, which is the smallest number of colors required in a locally irregular edge coloring of a locally irregular colorable multigraph G. We conjecture that for every connected graph G, which is not isomorphic to K2, the multigraph 2G obtained from G by doubling each edge admits lir(2G)≤2. This concept is closely related to the well known 1-2-3 Conjecture, Local Irregularity Conjecture, (2, 2) Conjecture and other similar problems concerning edge colorings. We show this conjecture holds for graph classes like paths, cycles, wheels, complete graphs, complete k-partite graphs and bipartite graphs. We also prove the general bound for locally irregular chromatic index for all 2-multigraphs using our result for bipartite graphs.

Analysis of the value of artificial intelligence combined with musculoskeletal ultrasound in the differential diagnosis of pain rehabilitation of scapulohumeral periarthritis

To explore the value of artificial intelligence combined with musculoskeletal ultrasound in the differential diagnosis of pain rehabilitation of scapulohumeral periarthritis. A total of 165 patients with periarthritis of the shoulder, who were admitted to our hospital from January 2020 to January 2022, were selected. Konica SONIMAGE HS1 PLUS color Doppler ultrasound diagnostic instrument was used to detect muscles and bones of patients with scapulohumeral periarthritis. This study proposed an intelligent clustering analysis algorithm with musculoskeletal ultrasound parameters. The neural network was trained on a GeForce RTX 3060 with the Adam W optimizer, a batch size of 12, and an initial learning rate of 5E-4. Each batch of 2 types of trained samples was input into the network in a specific proportion. Pain was assessed on a 10-point visual analogue scale. On the affected side of scapulohumeral periarthritis, the mild pain group showed thickening of the shoulder posterior capsule (2.02 ± 0.72) mm with clear edges. In the moderate pain group, the thickness of the shoulder posterior capsule gradually narrowed (1.01 ± 0.38) mm and became even thinner than that of the unaffected side, with irregular and blurred edges. In the severe pain group, the thickness of the shoulder posterior capsule largely returned to normal (1.21 ± 0.42) mm, and the edge was clear. Multivariate logistic regression showed that in addition to musculoskeletal ultrasound parameters, the length of service, work nature, and the busy degree of work of patients with periarthritis of the shoulder were significant factors that influenced shoulder periarthritis pain (P < .05). The performance of the proposed intelligent auscultation algorithm was further examined in a clinical setting, in which we used 165 clinical musculoskeletal ultrasound samples (including 81 positive and 84 negative samples) as a test set. The accuracy, sensitivity, and specificity were 0.833, 0.872, and 0.801, respectively. Musculoskeletal ultrasound combined with artificial intelligence algorithm is a new diagnostic and staging tool for scapulohumeral periarthritis.

Identificaton and Diversity of Endophytic Fungi Associated with The Seagrasses of Cebu, Central Philippines

Endophytic fungi were poorly documented in the marine environment, especially in seagrasses regardless of their importance as sources of novel metabolites. In the Philippines, studies are dearth despite having large areas of seagrass meadows. Thus, this study was conducted to isolate and identify endophytic fungi associated with common seagrasses: Enhalus acoroides, Cymodocea serrulata, and Thalassia hemprichii from the Philippines by morphologic and molecular methods. Seven species were identified in this study: Aspergillus tamarii, A. ochraceopetaliformis, A. sydowii, Penicillium citrinum, Xylaria sp., Beauveria bassiana, and Eutypella sp. Morphologically, Aspergillus spp. had septate hyphae, biseriate conidiophore, and smooth to rough globose conidia. Penicillium had a green colony, biverticillate conidiophore, and smooth, globose conidia. Beauveria bassiana had white to cream colonies with irregular edges and a powdery appearance. The conidiogenous cells had zigzag rachis in which a chain of conidia emerged. Eutypella sp. had white, filariform, and plumose colony. Xylaria sp. had a white colony with conspicuous radial lines and a plumose margin. Phylogenetic analysis using 80 ITS rDNA sequences by neighbor-joining revealed the clustering of our isolates with the closest match taxa in the same clade with 100% bootstrap value. The estimate of evolutionary divergence between our isolates and their closest match taxa by pairwise distance showed no nucleotide base substitution suggesting high sequence identity between sequences. The most diverse endophyte is Aspergillus as it is ubiquitously adapted to the marine environment. To our knowledge, this is the first report of these species colonizing the seagrasses from the Philippines.

First report of Diaporthe gardeniae causing branch blight of Gardenia jasminoides Ellis in Zhejiang Province, China.

Gardenia jasminoides Ellis, an important Chinese medicine, is cultivated on approximately 1,400 hectares in China. From August to October 2016, a severe disease affecting leaves, stems, and fruits of G. jasminoides, occurred in Cangnan (120°39'E, 27°48'N), Zhejiang province. Infected leaves or stems became shriveled, and in severe cases, young fruits presented red-brown or yellow necrotic lesions with numerous black spots. More than thirty diseased fruit and stem samples were collected, ten diseased fruits were surfacedisinfected (70% ethanol for 30 s, 1.5% sodium hypochlorite for 1 min) and kept at about 25℃ for 24 h with 80% humidity. The conidial suspension (105 conidia/ml) made of creamy drops secreted from the lesion black spots was spread onto PDA (Potato-Dextrose-Agar) and incubated at 25℃ in the dark for 7 d. Only one isolate (step01) was suspected to be the target pathogen, and other three isolates were Alternaria sp. The colony of step01 was white to grayish with an irregular edge on the front and a white to brown spiral grain on the back. Black pycnidia, produced after 20 d, were globose to subglobose, individual or overlapped, with an ostiole secreting a creamy conidial suspension. Alpha-conidia were aseptate, hyaline, oval to oblong with two oil balls, 7.4-15.9×2.4-4.5 µm (average 10.2×3.3 µm); beta-conidia were hyaline, aseptate, linetype, straight or slightly curled, 15.3-26.5×1.3-2.5 µm (average 20.8×1.6 µm). This isolate resembled Diaporthe sp. (Hansen and Barrett 1938). For species identification, DNA was extracted (Sangon Biotech Rapid Fungi Genomic DNA Isolation Kit - B518229)，and the internal transcribed spacer region (ITS), elongation factor (EF1-α), β-Tubulin (TUB), and histone H3 (HIS) of step01 were amplified using the primer pairs ITS1/ITS4, EF1-728F/ EF1-986R, BT-2a /BT-2b and CYLH3F/CYLH3R, respectively (Udayanga et al 2014, Huang et al. 2015).These sequences were submitted to GenBank as KY797655 (ITS), MF158048 (EF1- α), MF158049 (TUB), and MF158050 (HIS). In comparison with the other sequence of Diaporthe sp. using MEGA7.0 (maximum likelihood, bootstrap replications=1,000), step01 showed 100% identity with D. gardeniae. Based on their morphology and molecular identification, step01 was identified as D. gardeniae (syn. Phomopsis gardeniae). Pathogenicity was tested on three one-year-old G. jasminoides plants by stem inoculation. Two or three stems per plant were inoculated by binding a mycelial plug (5 ×12 mm), covered by humid cotton and plastic film, to the tender stem. A total of two plants were treated. Plants were kept at about 25℃ for 4 weeks. Control plants were inoculated with PDA plugs. Leaf blight started from the apex, extended to the stalk, and the leaves finally fell off. Three months after inoculation, symptoms developed on the underlying leaves, the stem was withered with black spots, a pattern like that observed in the field. No symptoms appeared in the control leaves. Five identical colonies were re-isolated from symptomatic tissues and identified again as D. gardeniae, fulfilling the Koch's postulates. Several fungi are associated with canker, leaf spot, and fruit rot in Gardenia throughout China, including Pestalotiopsis sp. (Huang et al. 2006), Botryosphaeria dothidea (Dong et al. 2016), and Phoma sp. (Luo et al. 2016). To the best of our knowledge, this is the first report of D. gardenia infecting G. jasminoides Ellis in Zhejiang Province, China.

Satellite Imagery Recording the Process and Pattern of Winter Temperature Field in Yangtze Estuary Interrupted by a Cold Wave

Sea surface temperature (SST) is a key marine ecological metric. An optimized split-window algorithm was used to invert the Yangtze Estuary’s temperature field during a cold wave process. Additionally, MODIS SST inversion results were used to explore the effects of typical cold waves on the Yangtze Estuary’s temperature field through the application of a temperature profile analysis method and a multiscale, multidirectional edge detection algorithm. According to the findings, (1) the cold wave altered the temperature field characteristics and the temperature front intensity, morphology, and spatial distribution pattern within the Yangtze Estuary for a short period. The strong temperature front displayed irregular edges and scattered patterns due to the combined effects of cold water masses produced by the cold wave and the tides and the warm water currents outside the mouth. (2) The cold wave caused significant short-term deviations in the Yangtze Estuary’s SST. The cold water tongue stretched across the entire Yangtze Estuary, where the temperature dropped sharply with time, with the maximum cooling occurring outside the mouth, at 12.2 °C, and the minimum cooling occurring inside the mouth, at only 5.5 °C. (3) The spatially gradual warming of the Yangtze Estuary’s SST from inside to outside the mouth became a low–lower–high pattern during cold waves. (4) The cold wave exhibited a greater influence on the strength, form, and distribution of the temperature front. Studying the effects of cold waves on the Yangtze Estuary’s temperature field has significant theoretical and practical implications for understanding the changes in the winter temperature field, environmental protection, disaster mitigation, and prevention.

First Report of Leaf Spot Caused by Phyllosticta capitalensis on Illiciumdifengpi in China.

Illicium difengpi B. N. Changet al., a shrub with aromatic odor in the Illicium genus, is extensively used as a medicinal plant in China. In June of 2020, a leaf spot on I. difengpi with incidence of about sixty percent was observed in a field located in Guilin (25°4'40"N; 110°18'21"E), Guangxi Province, China. Initialleafsymptoms were roundspotswith gray centers, surrounded by yellow halos. The spots gradually spread and merged. Six samples of symptomaticleaveswere collected from six diseased plants, and they were surface disinfested before isolation. Potato dextrose agar (PDA) was used to culture pathogens. Successively, pure cultures were obtained by transferring hyphal tips to new PDA plates. A total of 10 isolates were obtained from the affectedleaves.Two single-spore isolates (GX-1 and GX-2) were obtained and confirmed to be identical based on morphological characteristics. The representative isolate GX-2 was selected for further study on morphological and molecular characteristics. The colony of isolate GX-2 was about 4 cm in diameter on a PDA plate in 5 days, dark green with a granular surface, and irregular white edge. Conidia were hyaline, unicellular, oval, narrow at the end with a single apical appendage, and 8.2 to 13.8 × 3.7 to 7.2 µm (n= 50). Spermatia were hyaline, bacilliform with swollen ends, 3.8 to 8.9 × 1.3 to 1.9 µm (n= 50). Morphological characteristics of isolate GX-2 were consistent with the description of Phyllostictacapitalensis (Wikee et al. 2013). The internal transcribed spacer (ITS) region, translation elongation factor 1-α (tef1-α), glyceraldehyde-3-phosphate dehydrogenase (GPDH) and actin (ACT) were amplified using primers ITS1/ITS4, EF-728F/EF-986R, Gpd1-LM/Gpd2-LM and ACT-512F/ACT-783R, respectively (Wikee et al. 2013). Sequences were deposited in GenBank with accession numbers OL505439 forITS, OL539429 forACT, OL539430 fortef1-α and OL539431 for GPDH. BLAST analysis in GenBank showed that these sequences were 99 to 100% similar to the correspondingITS(MT649668),ACT(MN958710), tef1-α(MN958711) andGPDH (KU716077) sequences ofP. capitalensis. Also, the phylogenetic tree based on genes of ITS, tef1-α, GPDH and ACTby the maximum likelihood method showed that isolate GX-2 clustered together withP. capitalensis.The pathogenicity tests were carried out on a healthy 3 year-old plant in the greenhouse with 80% relative humidity at 25 °C. Four sterilized leaves were wounded with a needle and inoculated with 20 μL spore suspension (1 × 106spores/ml). Another four sterilized leaves were inoculated with 20 μL sterile water as a control. All plants were incubated in a chamber with 98% relative humidity at 25 ± 1°C. After 12 days, disease symptoms similar to the field were observed on leaves, whereas control plants remained healthy.P. capitalensiswas successfully reisolated only from the inoculated leaves and identified based on morphological characters. P. capitalensiscausedleafspotson various host plants around the world (Wikee et al. 2013), including on tea plants in China (Cheng et al. 2019) and oil palm in Malaysia (Nasehi et al. 2020), but it has not been reported on I. difengpi. Thus, this is the first report ofP. capitalensiscausingleafspoton I. difengpi. This study will provide an important reference for the control of the disease. The epidemiology ofthis disease should be investigated in further research.

Injectable nano-composite hydrogels based on hyaluronic acid-chitosan derivatives for simultaneous photothermal-chemo therapy of cancer with anti-inflammatory capacity

Nowadays, the photothermal therapy (PTT) has received widespread attention and research by rapidly killing tumors with local high temperature. However, due to the irregular edges of tumor and the blurred boundary between normal and necrotic tissues, the desirable treatment cannot be achieved by the single PTT, and excessive heat will cause serious inflammation in local tissues. Herein, an injectable composite hydrogel is prepared by the oxidized hyaluronic acid (OHA) and hydroxypropyl chitosan (HPCS) via the imine bonds, which is employed as the delivery substrate for functional substances. In the gel medium, the mesoporous polydopamine (MPDA) nanoparticles are incorporated as the high efficiency photothermal agent and a reservoir of DOX, which can achieve the good photothermal conversion performance and pulsed drug release. Besides, the addition of the curcumin-cyclodextrin host-guest inclusion complex (CUR@NH2-CD) in the composite hydrogel could reduce the inflammation caused by PTT. The composite hydrogel shows favorable the Hepa1–6 tumor inhibition in vivo by virtue of the comprehensive effect of the admired photothermal efficacy of MPDA, chemotherapy of DOX and anti-inflammatory of CUR. It can be predicted that the composite hydrogel has a broad prospect in the field of comprehensive therapy for tumor.

Capecitabine-induced oral mucosal hyperpigmentation associated with hand-foot syndrome – A literature review

BackgroundCapecitabine (Xeloda®) is a cytotoxic, antimetabolite chemotherapeutic agent. Its most common adverse events are diarrhea, hand-foot syndrome (HFS), hyperbilirubinemia, hyperpigmentation, fatigue, abdominal pain, and other gastrointestinal effects. HFS or palmar-plantar erythrodysesthesia (PPE) is an adverse reaction resulting from therapy with chemotherapeutic agents, classified into three degrees. Hyperpigmentation, as an adverse effect of capecitabine, can occur in different locations and with different patterns. The skin, nails and oral mucosal membrane can be affected. ObjectiveThe objective of this study was to report and discuss oral hyperpigmentation associated with HFS caused by the use of capecitabine, which is still poorly described in the literature. MethodologyA literature review was carried out using the online databases PubMed, Scielo, BVS, Lilacs, Medline, BBO and Google Scholar, associating the descriptors “Capecitabine”, “Pigmentation Disorders”, “Oral mucosa”, “Cancer” and “Hand-Foot Syndrome”, which were related and used to exemplify, discuss and report the exposed clinical case. ResultsThis case report corroborates the literature regarding the incidence in females and black skin persons like this patient who was affected by HFS when undergoing antineoplastic therapy with capecitabine and presented hyperpigmentation of the hands, feet and oral mucosa. On the oral mucosa, the hyperpigmented spots were diffuse, showing a blackish color and irregular edges. Their pathophysiology remains unknown. Study limitationsFew articles citing capecitabine-associated pigmentation. ConclusionsIt is hoped that this study may contribute to the identification and correct diagnosis of hyperpigmentation in the oral cavity, as well as call attention to the adverse effects related to capecitabine.

Investigation and Prediction of Nano-Silver Line Quality upon Various Process Parameters in Inkjet Printing Process Based on an Experimental Method.

As an emerging additive manufacturing technology, inkjet printing has been increasingly applied in microelectronics field. However, due to the impacting and rebounding behaviors of conductive ink droplets impinging onto flat substrates, it is challenging to fabricate conductive lines with desired quality, such as suitable line width and line thickness, and matching resistance when it is used for interconnecting multifarious electronic components if there is not a proper configuration of operating parameters. To address this research gap, this article aims to investigate the effect of process parameters on the quality of conductive lines, including the platform temperature, printing speed, number of layers, and delay time (droplet interarrival time), are selected to conduct a full factorial experiment. First, the approximate parameter ranges for ensuring the continuity of conductive lines are determined. Second, this study analyzes the interactive effect among process parameters on line quality. Third, an artificial neural network (ANN) is constructed to predict the quality of printed lines. Results show that the line width does not increase with an increased number of layers, while the line thickness shows an increasing trend. The low resistance and high aspect ratio of printed line are achieved by printing 5 layers with the platform temperature of 70°C, the delay time of 12.2 ms, and the printing speed of 1139.39 mm/min. Moreover, the ANN model can be used to predict line width and line thickness with excellent performance, except for the resistance due to the irregular line edge. This study provides a useful guide for the selection of appropriate printing parameters to realize a diverse range of quality properties for 3D printed conductive lines in integrated circuits.

Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet

Background and objectiveThe artificial segmentation of early gastric cancer (EGC) lesions in gastroscopic images remains a challenging task due to reasons including the diversity of mucosal features, irregular edges of EGC lesions and nuances between EGC lesions and healthy background mucosa. Hence, this study proposed an automatic segmentation framework: co-spatial attention and channel attention based triple-branch ResUnet (CSA-CA-TB-ResUnet) to achieve accurate segmentation of EGC lesions for aiding clinical diagnosis and treatment. MethodsThe input gastroscopic image sequences of the triple-branch segmentation network CSA-CA-TB-ResUnet is firstly generated by the designed multi-branch input preprocessing (MBIP) module in order to fully utilize massive correlation information among multiple gastroscopic images of the same a lesion. Then, the proposed CSA-CA-TB-ResUnet performs the segmentation of EGC lesion, in which the co-spatial attention (CSA) mechanism is designed to activate the spatial location of EGC lesions by leveraging on the correlations among multiple gastroscopic images of the same EGC lesion, and the channel attention (CA) mechanism is introduced to extract subtle discriminative features of EGC lesions by capturing the interdependencies between channel features. Finally, two gastroscopic images datasets from different digestive endoscopic centers in the southwest and northeast regions of China respectively were collected to validate the performances of proposed segmentation method. ResultsThe correlation information among gastroscopic images was confirmed to be able to improve the accuracy of EGC segmentation. On another unseen dataset, our EGC segmentation method achieves Jaccard similarity index (JSI) of 84.54% (95% confidence interval (CI), 83.49%-85.56%), threshold Jaccard index (TJI) of 81.73% (95% CI, 79.70%-83.61%), Dice similarity coefficient (DSC) of 91.08% (95% CI, 90.40%-91.76%) and pixel-wise accuracy (PA) of 91.18% (95% CI, 90.43%-91.87%), which is superior to other state-of-the-art methods. Even on the challenging small lesions, the segmentation results of our CSA-CA-TB-ResUnet-based method are consistently and significantly better than other state-of-the-art methods. We also compared the segmentation result of our model with the diagnostic accuracy with junior/senior expert. The comparison results indicated that our model performed better than the junior expert. ConclusionsThis study proposed a novel CSA-CA-TB-ResUnet-based EGC segmentation method and it has a potential for real-time application in improving EGC clinical diagnosis and minimally invasive surgery.