Branch Length Research Articles

Corneal subepithelial nerve fibers in type 2 diabetes: potential biomarker of diabetic neuropathy

AIM: To observe the changes in corneal subepithelial nerve fibers (CNFs) and Langerhans cells (LCs) in patients with type 2 diabetes using corneal laser confocal microscopy (CLCM). METHODS: A total of 60 patients (64 eyes), including 40 patients with type 2 diabetes (DM group) and 20 subjects without diabetes (control group) were included with CLCM. Neuron J plugin of Image J software were used for quantitative analysis of CNF length (CNFL), CNF density (CNFD), corneal nerve branch fiber density (CNBD), main branch length density, branch length density, corneal nerve fiber tortuosity (NT) score, and LCs density. An independent samples t-test to analyze the variability between the two groups was performed, and Pearson correlation analysis was used to analyze the relationships between CNF and multiple biochemical indicators in the DM group. The predictive power of CNF for type 2 diabetes was assessed using the receiver operating characteristic (ROC) curve. RESULTS: There were significant differences in the CNFL, CNFD, and main branch length density between two groups. The results of Pearson correlation analysis showed a significant negative correlation between CNFD and the duration of diabetes as well as triglyceride levels and total cholesterol, and a significant positive correlation between CNFD and serum albumin. In addition, the NT score showed a positive correlation and urea nitrogen, similar to the positive correlation observed between LC density and glycosylated hemoglobin (HbA1c) levels. CNFD showed the highest area under the curve (AUC of ROC) value, followed by main branch length density and CNFL. The AUC of the ROC curve under the logistic regression model also demonstrated good predictive values. The cut-off values of CNFD, CNFL, and main branch length density for diabetes showed 31.25, 18.85, and 12.56, respectively. CONCLUSION: In patients with type 2 diabetes, there is a notable reduction in both CNFL and CNFD. These measurements can be influenced by various blood biochemical factors. However, the compromised nerve fibers can serve as valuable indicators for predicting the onset of type 2 diabetes and also as biomarkers for detecting diabetic neuropathy and its related complications.

Whole-genome sequencing reveals genetic structure and adaptive genes in Nepalese buffalo breeds.

Indigenous buffaloes, as the important livestock species contributing to economy of the country, are the lifeline of livelihood in Nepal. They are distributed across diverse geographical regions of the country and have adapted to various feeding, breeding, and management conditions. The larger group of these native buffalo breeds are present in narrow and stiff hilly terrains. Their dispersal indicates a possible environmental adaptation mechanism, which is crucial for the conservation of these breeds. We utilized whole-genome sequencing (WGS) to investigate the genetic diversity, population structure, and selection signatures of Nepalese indigenous buffaloes. We compared 66 whole-genome sequences with 118 publicly available sequences from six river and five swamp buffalo breeds. Genomic diversity parameters indicated genetic variability level in the Nepalese buffaloes comparable to those of Indian breeds, and population genetic structure revealed distinct geography-mediated genetic differentiation among these breeds. We used locus-specific branch length analysis (LSBL) for genome-wide scan, which revealed a list of potentially selected genes in Lime and Parkote breeds that inhabit the hilly region. A gene ontology (GO) analysis discovered that many GO terms were associated with cardiac function regulation. Furthermore, complementary analyses of local selection signatures, tissue expression profiles, and haplotype differences identified candidate genes, including KCNE1, CSF1R, and PDGFRB, related to the regulation of cardiac and pulmonary functions. This study is a comprehensive WGS-based genetic analysis of the native Nepalese buffalo breeds. Our study suggested that the Nepalese "hilly" buffaloes, especially the Lime and Parkote breeds, have undergone some characteristic genetic changes and evolved increased cardiac and pulmonary function for their adaptation to the steep hilly terrains of the country.

Impact of Gas Accumulation on the Stability of Parallel Upward Ventilation in High-Temperature Sloped Shafts of Deep Wells

To explore the causes and influencing factors of wind flow oscillations in high-temperature inclined aisles of deep wells under parallel upward ventilation, this study conducts a comprehensive investigation using theoretical analysis and numerical simulations. Based on the kinetic analysis of gas flow, a discriminant formula for wind flow reversal in the side branch is derived. Further analysis identifies initial wind speed and branch length as key factors influencing the reversal. Both gas pressure and thermal pressure contribute to wind flow reversal in the side branch, and the opposing directions of these pressures cause high-temperature gas to periodically flow between the two branches, resulting in wind flow oscillations. A higher initial wind speed can effectively reduce the oscillation amplitude due to increased initial kinetic energy and a larger pressure difference, but it does not extend the oscillation duration. Increasing the branch length can suppress wind flow oscillations by increasing airflow frictional resistance and damping.

Design of Highly Adhesive Urchin‐Like Gold Nanostructures for Effective Topical Drug Administration and Symptomatic Relief of Corneal Dryness

Topical instillation of cyclosporin A (an anti‐inflammatory drug) is clinically recommended as the first‐line treatment for dry eye disease. Nevertheless, it suffers from poor ocular drug retention and cannot comprehensively address corneal dryness‐related symptoms such as oxidative stress, angiogenesis, and neurodegeneration. Inspired by nanotechnology‐mediated material/biological interactions, in this study, a highly adhesive metallic nanoplatform with an urchin‐like structure is designed for topical quercetin administration in dry eye therapy. The gold nanostructures with the most pronounced branch lengths exhibit the strongest cytoadhesion and bioadhesion capabilities, which significantly enhance the corneal retention of nano‐urchins by 150‐fold at 7 days post‐instillation compared with smooth‐surfaced gold nanoparticles. In a rabbit model of corneal dryness, topical single‐dose nanoformulation (high quercetin‐functionalized gold nano‐urchins (NU‐Q(H))) demonstrated remarkable efficacy in stimulating tear production (30‐fold improvement), inhibiting inflammatory IL‐6 expression (49‐fold improvement), attenuating pathological angiogenesis (32‐fold improvement), and promoting nerve regeneration (18‐fold improvement) compared to high quercetin‐functionalized gold nanoparticles (NP‐Q(H)). In particular, the integrity of the ocular surface, tear film, and meibomian gland is restored to levels similar to those in healthy rabbits. These findings suggest the promising potential of nanobiomaterial structural engineering in developing highly adhesive metallic nanomedicines as long‐acting eye‐drop formulations for disease treatment applications.

Unsupervised learning analysis on the proteomes of Zika virus

Background The Zika virus (ZIKV), which is transmitted by mosquito vectors to nonhuman primates and humans, causes devastating outbreaks in the poorest tropical regions of the world. Molecular epidemiology, supported by clustering phylogenetic gold standard studies using sequence data, has provided valuable information for tracking and controlling the spread of ZIKV. Unsupervised learning (UL), a form of machine learning algorithm, can be applied on the datasets without the need of known information for training. Methods In this work, unsupervised Random Forest (URF), followed by the application of dimensional reduction algorithms such as principal component analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), t-distributed stochastic neighbor embedding (t-SNE), and autoencoders were used to uncover hidden patterns from polymorphic amino acid sites extracted on the proteome ZIKV multi-alignments, without the need of an underlying evolutionary model. Results The four UL algorithms revealed specific host and geographical clustering patterns for ZIKV. Among the four dimensionality reduction (DR) algorithms, the performance was better for UMAP. The four algorithms allowed the identification of imported viruses for specific geographical clusters. The UL dimension coordinates showed a significant correlation with phylogenetic tree branch lengths and significant phylogenetic dependence in Abouheif’s Cmean and Pagel’s Lambda tests (p value < 0.01) that showed comparable performance with the phylogenetic method. This analytical strategy was generalizable to an external large dengue type 2 dataset. Conclusion These UL algorithms could be practical evolutionary analytical techniques to track the dispersal of viral pathogens.

Quantitative modeling of lenticulostriate arteries on 7-T TOF-MRA for cerebral small vessel disease.

We developed a framework for segmenting and modeling lenticulostriate arteries (LSAs) on 7-T time-of-flight magnetic resonance angiography and tested its performance on cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) patients and controls. We prospectively included 29 CADASIL patients and 21 controls. The framework includes a small-patch convolutional neural network (SP-CNN) for fine segmentation, a random forest for modeling LSAs, and a screening model for removing wrong branches. The segmentation performance of our SP-CNN was compared to competitive networks. External validation with different resolution was performed on ten patients with aneurysms. Dice similarity coefficient (DSC) and Hausdorff distance (HD) between each network and manual segmentation were calculated. The modeling results of the centerlines, diameters, and lengths of LSAs were compared against manual labeling by four neurologists. The SP-CNN achieved higher DSC (92.741 ± 2.789, mean ± standard deviation) and lower HD (0.610 ± 0.141 mm) in the segmentation of LSAs. It also outperformed competitive networks in the external validation (DSC 82.6 ± 5.5, HD 0.829 ± 0.143 mm). The framework versus manual difference was lower than the manual inter-observer difference for the vessel length of primary branches (median -0.040 mm, interquartile range -0.209 to 0.059 mm) and secondary branches (0.202 mm, 0.016-0.537 mm), as well as for the offset of centerlines of primary branches (0.071 mm, 0.065-0.078 mm) and secondary branches (0.072, 0.064-0.080 mm), with p < 0.001 for all comparisons. Our framework for LSAs modeling/quantification demonstrated high reliability and accuracy when compared to manual labeling. NCT05902039 ( https://clinicaltrials.gov/study/NCT05902039?cond=NCT05902039 ). The proposed automatic segmentation and modeling framework offers precise quantification of the morphological parameters of lenticulostriate arteries. This innovative technology streamlines diagnosis and research of cerebral small vessel disease, eliminating the burden of manual labeling, facilitating cohort studies and clinical diagnosis. The morphology of LSAs is important in the diagnosis of CSVD but difficult to quantify. The proposed algorithm achieved the performance equivalent to manual labeling by neurologists. Our method can provide standardized quantitative results, reducing radiologists' workload in cohort studies.

Phenotypic characterization of Echinochloa species in California rice

AbstractTwo independent greenhouse experiments were conducted in December 2020 and July 2021 in Davis, CA to characterize Echinochloa crus‐galli (L.) P. Beauv., Echinochloa colona (L.) Link, Echinochloa oryzicola (Vasinger) Vasinger and Echinochloa walteri (Pursh) A. Heller found in California rice systems based on their morphological traits. Phenotypic data was collected on 10 vegetative traits including plant height, number of tillers, flag leaf length, flag leaf width, flag leaf angle, the colour of leaf sheath, leaf blade colour, internode colour, node colour, growth habit and nine reproductive traits including number of days to heading, number of panicles, length of panicle, length of panicle branches, seeds per panicle, panicle weight, seed colour, awn length and awn pattern. High plasticity was observed in all species characterized in both experiments for both vegetative and reproductive traits, indicating potential inter‐specific hybridization. Awn length, days to heading, length of the panicle, length of the panicle branches, plant height, flag leaf angle, and growth habit were significantly higher in the fall experiment for all species indicating photoperiod could play a role in the expression of these traits. Also, high variation was observed for plant height, number of tillers, awn length, panicle weight, seeds/panicle, length of panicle branch, and number of panicles for all species in both experiments. The results from this study indicate morphological diversity currently present in Echinochloa species could contribute to their adaptation to selection pressure imposed by different management tools in California, emphasizing the need for a diversified management approach to effectively control this weed species.

Current-Limiting Characteristics of a Variable Resistive Type SFCL With Different Branch Lengths

Current-Limiting Characteristics of a Variable Resistive Type SFCL With Different Branch Lengths

Gas exchange in yellow passion fruit hybrids in the Semiarid region

Agronomic characterization and exploitation of the genetic variability in plants of the Passiflora can reveal important genetic resources because the Passiflora species grown under semiarid conditions make important contributions to breeding. The aim of this work was to evaluate the vegetative and physiological characteristics of fifteen yellow passion fruit hybrids in semiarid conditions. The experiment was conducted at IF Baiano – campus Guanambi, Bahia, Brazil. The 15 treatments were 10 genotypes: H09-10; GP09-02; H09-02; H09-14; H09-07; H09-09; FOP09; GP09-03; H09-30; FOP08 from the Active Germplasm Bank of the Genetic Breeding Program of Embrapa Cassava and Fruits, and five commercial hybrids: FB200; FB300; BRS SC; BRGA; BRS Rubi. The treatments were arranged in a randomized block design, with three replications and five observational units per plot. Vegetative characteristics (main branch length, number of functional leaves, number of nodes, and number of flower buds) were measured at full vegetative development, 90 days after transplanting (DAT). Hybrid H09-10 is the earliest in flowering, physiologically more efficient in the morning, closes stomata in the afternoon, regulates transpiration, and has lower leaf temperature, higher photosynthesis rate, and more efficient water use. Gas exchanges and photosynthesis rates, at 300 DAT, vary between hybrids and reading times: photosynthesis is higher in the morning while transpiration is greater in the afternoon. The reduction in carboxylation efficiency is related to non-stomatal factors. Gas exchange variables of the genotypes tend to be directly correlated with the photosynthetically active radiation incident on the leaf

Numerical Simulation of CBM Seepage Characteristics Based on Fracture Network Images

The natural fracture network within the coal body serves as the main pathway for gas migration, with its geometric characteristics significantly impacting coalbed methane flow. In order to enhance the numerical model for simulating coalbed methane flow based on fracture network images, we define porosity and permeability functions for these images and improve upon existing methods. By employing a pixel probability decomposition algorithm, we establish a geometric model of a rough discrete fracture network, which is imported into COMSOL Multiphysics to build a numerical model of gas flow. We analyze the impact of different fracture structures on coal seam permeability and find that gas primarily flows through interconnected fractures at much higher velocities compared to matrix pores. Furthermore, we observe that fracture network permeability increases with increasing porosity (0.0635–0.164), fractal dimension (1.571–1.755), maximum fracture branch length (0.0111–0.0249 m), and connectivity (0.808–2.789). Conversely, it decreases with an increasing fracture dip angle (1.61–88.39°) and tortuosity fractal dimension (1.0018–1.0195). Our simulation method based on fracture network imaging provides a simple yet feasible approach to simulate gas extraction while accurately capturing various stages in the extraction process, including the temporal and spatial evolution of gas velocity and pressure as well as differences between fractures and the coal matrix.

Genome-wide dissection of genes shaping inflorescence morphology in 242 Chinese south–north sorghum accessions

The inflorescences morphology (IM) of sorghum (Sorghum bicolor L. Moench) affects its resistance to pests, diseases, and grain yields. However, the specific genetic factors underlying in IM are not yet fully elucidated. Here we conducted a comprehensive genome-wide association analysis (GWAS) to identify the stable and adaptive Quantitative Trait Loci (QTL) for five IM traits (panicle length, the number of cob nodes, the number of primary branches, the largest length of the primary branch, and panicle type) in a sorghum panel, which adapted to different environments from the south to north in China. Totally, 2,015,850 high quality single nucleotide polymorphisms (SNPs) were obtained. Population structure analysis showed that two distinct genetic sub-populations were divided according to their geographic origin. Seventy-one QTLs distributed in 41 genetic regions on 9 chromosomes were identified. These regions harbored 21 high-confident candidate genes that were homologous to rice domestication genes, including 7 related to IM. Two domestication-related genes (Sobic.003G052700 and Sobic.006G247700) were located into two major QTL regions (QTL3.4721839 and QTL6.58709500) which were identified in multi-environments. Allelic variations in the two genes displayed a geographical pattern, indicating that different IM traits were selected by south and north sorghum breeders, such as south sorghums had long and loose panicles in order to adapt the hot and humid climate, while north sorghums had short and compact panicle to increase planting density and grain yield per unit area due to dry climate. This work provides new breeding strategies and resources for developing locally adapted sorghum varieties.

Impact of cannabinoids on synapse markers in an SH-SY5Y cell culture model

Patients suffering from schizophrenic psychosis show reduced synaptic connectivity compared to healthy individuals, and often, the use of cannabis precedes the onset of schizophrenic psychosis. Therefore, we investigated if different types of cannabinoids impact methylation patterns and expression of schizophrenia candidate genes concerned with the development and preservation of synapses and synaptic function in a SH-SY5Y cell culture model. For this purpose, SH-SY5Y cells were differentiated into a neuron-like cell type as previously described. Effects of the cannabinoids delta-9-THC, HU-210, and Anandamide were investigated by analysis of cell morphology and measurement of neurite/dendrite lengths as well as determination of methylation pattern, expression (real time-qPCR, western blot) and localization (immunocytochemistry) of different target molecules concerned with the formation of synapses. Regarding the global impression of morphology, cells, and neurites appeared to be a bit more blunted/roundish and to have more structures that could be described a bit boldly as resembling transport vesicles under the application of the three cannabinoids in comparison to a sole application of retinoic acid (RA). However, there were no obvious differences between the three cannabinoids. Concerning dendrites or branch lengths, there was a significant difference with longer dendrites and branches in RA-treated cells than in undifferentiated control cells (as shown previously), but there were no differences between cannabinoid treatment and exclusive RA application. Methylation rates in the promoter regions of synapse candidate genes in cannabinoid-treated cells were in between those of differentiated cells and untreated controls, even though findings were significant only in some of the investigated genes. In other targets, the methylation rates of cannabinoid-treated cells did not only approach those of undifferentiated cells but were also valued even beyond. mRNA levels also showed the same tendency of values approaching those of undifferentiated controls under the application of the three cannabinoids for most investigated targets except for the structural molecules (NEFH, MAPT). Likewise, the quantification of expression via western blot analysis revealed a higher expression of targets in RA-treated cells compared to undifferentiated controls and, again, lower expression under the additional application of THC in trend. In line with our earlier findings, the application of RA led to higher fluorescence intensity and/or a differential signal distribution in the cell in most of the investigated targets in ICC. Under treatment with THC, fluorescence intensity decreased, or the signal distribution became similar to the dispersion in the undifferentiated control condition. Our findings point to a decline of neuronal differentiation markers in our in vitro cell-culture system under the application of cannabinoids.

The Impact of Short-Term Drought on the Photosynthetic Characteristics and Yield of Peanuts Grown in Saline Alkali Soil

Peanuts grown in saline alkali soil are also subjected to drought stress caused by water scarcity. Therefore, we used HY25 (peanut variety) as an experimental material to investigate the effects of drought on the height of peanut main stems, length of the first lateral branch, leaf area per plant, SPAD value, net photosynthetic rate, and accumulation and distribution of photosynthetic products in saline alkali soil. The results showed that the combined stress of short-term drought and salt significantly reduced the main stem height, first lateral branch length, single plant leaf area, SPAD value, net photosynthetic rate (Pn), intercellular carbon dioxide concentration (Ci), and dry matter accumulation of peanuts, including a decrease in single plant pod yield, 100-pod weight, 100-kernel weight, and peanut yield. And the impact of drought stress on peanut yield varies at different growth stages. For example, under drought stress alone, the sensitive period is the 40th day after planting (40D) &gt; 60th day after planting (60D) &gt; 30th day after planting (30D). Short-term drought has the greatest impact on peanut yield at 40D, while in contrast, resuming watering after drought at 30D results in a slight but not significant increase in peanut yield in comparison with the control. Under the combined stress of drought and salt, the sensitive period of peanuts was 40D &gt; 30D &gt; 60D, and the single pod weight of peanuts was significantly reduced by 15.26% to 57.60% from the flowering stage to the pod stage under drought treatment compared to salt treatment, indicating a significant interaction between drought and salt stress, reducing the single leaf area and net photosynthetic rate of peanut leaves, ultimately leading to a decrease in peanut yield. Therefore, when planting peanuts in saline alkali soil, drought should be avoided, especially early drought, in order to prevent the combined effects of drought and salt stress from harming peanut yield.

Distribution of flow characteristics and productivity evaluation of herringbone wells in bottom water reservoirs

Abstract With the characteristics of large drainage area and low drilling cost, the herringbone wells have become an important way to increase the well production, delay the coning and ridge of bottom water and improve the development effect. Due to the complexity of the herringbone wells flow characteristics, results that exists certain gap between the current production prediction and the actual production, so it is of great significance to study the flow and productivity of herringbone wells. In this paper, taking bottom-water reservoir as the research object, considering the interference between branch wellbore and perforations, analysis the flow characteristics and the productivity sensitivity factors of herringbone wells. The results show that the transient flow time in the reservoir is short, the closer to the wellbore, the greater the pressure changes. With the increases of the branches number, branches length and branch angle, the per unit length of the wellbore radial inflow decreases, and the decrease slows down after exceeding 3 branches. In the high anisotropy reservoirs, the phase angle has greater impact on the productivity of the herringbone well when the perforation density is low, at 180°, phase angle is best; when the perforation density exceeds 16 shots/m, the increase of productivity degree decreases. This study provides important guiding significance for the actual application in oil fields to optimizing the herringbone wells shape, rational production allocation, specifying reasonable work systems and enhance oil recovery in the bottom water reservoirs.

Is it all Phacelia pinnatifida? Molecular delimitations and taxonomic revision of Phacelia sect. Glandulosae in South America based on ddRADseq

AbstractPhacelia sect. Glandulosae, with ca. 62 taxa, is the most diverse of the 11 sections of the genus Phacelia (Hydrophyllaceae). The family is largely restricted to North and Central America, but the genus Phacelia has an amphitropical distribution with nine species reported from western South America, five of which have been assigned to P. sect. Glandulosae. These species are found in arid to semi‐arid Andean habitats between 1000 and 5000 m a.s.l. Species delimitation has long been confounded for this plant group in South America by some degree of taxonomic chaos – lack of typifications, dozens of synonyms, different names used for the same taxon between different countries – and poor representation in molecular phylogenies. Here, we try to improve our understanding by employing a ddRADseq strategy to investigate phylogenetic relationships of all South American representatives of P. sect. Glandulosae based on a total of 33 sampled specimens. Both maximum likelihood and species tree inference analyses of the ddRADseq data resulted in a well‐resolved topology. All five species currently recognized in P. sect. Glandulosae in South America form a highly supported monophylum including P. nana, previously considered as belonging to P. sect. Euglypta. However, the currently recognized morphospecies form a clade with very short branch lengths indicating coalescence processes at the level of population, except for P. artemisioides, which is clearly sister to the rest. Additionally, different morphospecies and ecotypes are largely retrieved as poly‐ and/or paraphyletic. Based on these results and on re‐evaluation of the morphological characters traditionally used to delineate species within P. sect. Glandulosae, we argue that these characters are of limited diagnostic value. We recommend recognizing only two South American species within this section: polymorphic P. pinnatifida and its closely related sister species P. artemisioides. A revised formal taxonomy is provided.

The Imageology Study and Clinical Application of Perforating Branch of Posterior Tibial Artery.

It is necessary to precisely locate the branches for better result of flap transplantation for the high variability of perforating branches of posterior tibial artery (PTA). In the research, digital subtraction angiography (DSA) and high-frequency ultrasound are jointly used to study the distribution and exact location of PTA perforating branches to guide clinical practice. From January 2020 to December 2022, 16 patients underwent DSA examination and 5 of them accepted further high-frequency ultrasound examination. The authors analyzed the distribution, number, location, direction, and lengths of PTA branches and used PTA perforator flaps to repair middle and inferior lower leg defects according to the above imaging findings. The donor site was repaired with skin grafts or a sequential PTA perforator flap. A total of 81 branches of PTA were identified in 16 patients. Most of the perforating branches were in the middle and distal thirds of tibia. There was a significant correlation between the length of perforating branches and their perforating sites. Cluster analysis showed that larger branches appeared most frequently in the range of 15 to 20cm from the tip of the inner ankle. 5 cases of PTA perforator flaps survived well. DSA can clearly show the distribution of PTA and its branches, especially the dominant ones. The imaging findings can effectively guide PTA perforator flap design and harvesting, and thus improve the result of flap transplantation.

Association of tear osmolarity and corneal nerves structure in dry eye disease: an in vivo study.

To evaluate the structural changes in corneal sub-basal nerves of dry eye disease (DED) patients with tear hyperosmolarity versus normosmolar tears. A prospective evaluation of the tear film (keratograph 5M), tear osmolarity, and sub-basal corneal nerves (laser scanning in-vivo confocal microscopy) was performed in a cohort of 53 DED patients (106 eyes) diagnosed as per DEWS II criteria. Patients with tear hyperosmolarity (Group 1, n = 48 eyes) were compared with DED patients without tear hyperosmolarity (Group 2, n = 58 eyes). Of 53 patients (27 females), 28 had Sjogren's syndrome, and the rest had meibomian gland dysfunction. There were more SS patients (21 vs 7) and females in Group 1. The two groups were similar in age, TMH, NIBUT, meibomian gland loss, bulbar redness, and corneal staining, except for Schirmer I (p < 0.001), and tear osmolarity (p < 0.001; worse in group 1). The groups did not differ in dendritic cell density, whether immature (53.8 vs. 38) or mature (2.7 vs. 0). The significantly different corneal nerve parameters were nerve fiber length (p = 0.005), density (p = 0.01), and branching density (p = 0.04), with lower values observed in group 1. Only tear osmolarity had a weak negative correlation with corneal nerve fiber length (r, -0.38), density (r, -0.32), and branching (r, -0.28). SS patients with hyperosmolar tears had reduced nerve fiber length and branching compared to SS patients with normosmolar tears. Tear hyperosmolarity is associated with reduced nerve branching, fiber density, and fiber length despite similar levels of conjunctival congestion, tear film stability, and meibomian gland loss in DED patients. What is known • Corneal nerves are reduced in density and length in dry eye disease patients. • Laboratory studies have shown fragmentation of corneal nerves on exposure to hyperosmolar solutions. What is new • Tear hyperosmolarity is associated with reduced nerve branching, fiber density, and fiber length in dry eyes compared to normosmolar tears. • The effect is independent of dendritic cell density.

Synthesis of perylene‐PEO hyperdispersants for aqueous graphene dispersion

AbstractGraphene, with excellent thermal conductivity, electrical and corrosion shielding performance has great application potential in the fields of heat dissipation coating, conductive agent and anticorrosion composite coatings. However, due to its large specific surface area, resulting strong aggregation behavior limits its application. Herein, the hyperdispersants with perylene anchoring groups are synthesized through the amidation coupling reaction between diacid anhydride and polyetheramine. The branching degree and length of hydrophilic chains on hyperdispersant are revealed to be the very important factors to affect the dispersion stability of aqueous graphene dispersion. The hyperdispersant with a single hydrophilic chain and the molecular weight 2000 of polyetheramine has the excellent dispersal activity discovered by Rheology, particle size distribution and Raman measurements. The possible mechanism is the strongest anchoring effect of perylene on graphene surface and thus achieving in best effective spatial exclusion stabilization effect of hydrophilic chains.

Assessing the Adequacy of Morphological Models using Posterior Predictive Simulations.

Reconstructing the evolutionary history of different groups of organisms provides insight into how life originated and diversified on Earth. Phylogenetic trees are commonly used to estimate this evolutionary history. Within Bayesian phylogenetics a major step in estimating a tree is in choosing an appropriate model of character evolution. While the most common character data used is molecular sequence data, morphological data remains a vital source of information. The use of morphological characters allows for the incorporation fossil taxa, and despite advances in molecular sequencing, continues to play a significant role in neontology. Moreover, it is the main data source that allows us to unite extinct and extant taxa directly under the same generating process. We therefore require suitable models of morphological character evolution, the most common being the Mk Lewis model. While it is frequently used in both palaeobiology and neontology, it is not known whether the simple Mk substitution model, or any extensions to it, provide a sufficiently good description of the process of morphological evolution. In this study we investigate the impact of different morphological models on empirical tetrapod data sets. Specifically, we compare unpartitioned Mk models with those where characters are partitioned by the number of observed states, both with and without allowing for rate variation across sites and accounting for ascertainment bias. We show that the choice of substitution model has an impact on both topology and branch lengths, highlighting the importance of model choice. Through simulations, we validate the use of the model adequacy approach, posterior predictive simulations, for choosing an appropriate model. Additionally, we compare the performance of model adequacy with Bayesian model selection. We demonstrate how model selection approaches based on marginal likelihoods are not appropriate for choosing between models with partition schemes that vary in character state space (i.e., that vary in Q-matrix state size). Using posterior predictive simulations, we found that current variations of the Mk model are often performing adequately in capturing the evolutionary dynamics that generated our data. We do not find any preference for a particular model extension across multiple data sets, indicating that there is no 'one size fits all' when it comes to morphological data and that careful consideration should be given to choosing models of discrete character evolution. By using suitable models of character evolution, we can increase our confidence in our phylogenetic estimates, which should in turn allow us to gain more accurate insights into the evolutionary history of both extinct and extant taxa.

Genomic estimated selection criteria and parental contributions in parent selection increase genetic gain of maternal haploid inducers in maize.

Parental combinations determined by genomic estimated usefulness and parental contributions of the lines in bridging population can enhance the genetic gain of traits of interest in maternal haploid inducer breeding. Parent selection in crosses aligns well with the quantitative trait performance in the progenies. We herein take advantage of estimated genetic values (EGV) and usefulness criteria (UC) of bi-parental combinations by genomic prediction (GP) to compare the empirical performance of doubled haploid inducer (DHI) progenies of eight elite inducers crosses in a half-diallel. We used parental contribution and discovery of superiors from elite-by-historical bridging populations to enhance genetic gain for long-term selection. In this empirical study, the narrow-sense heritabilities of four traits of interest (Days to flowering, DTF; haploid induction rate, HIR; plant height, PHT; Total primary branch length, PBL) in DHI population were 0.81, 0.71, 0.45 and 0.46, respectively. The genomic estimated EGV_Mid/Mean and EGV/UC_Inferior was significantly correlated with the sample mean of progenies and inferiors in four traits in the breeding and bridging population. EGV/UC_Superior were significantly correlated with the mean of superiors in DTF, PHT, and PBL in breeding and bridging populations. The genomic estimated parent contributions in DH progenies of bridging populations enabled discovery of favorable genome region from historical inducers to improve the genetic gain of HIR for long-term selection.