Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of field-effect transistors and resonant tunneling diodes based on graphene

Graphene is a nanomaterial that due to unique properties has attracted great interest for various applications, in particular, for development of nanoelectronic devices. In the paper the graphene field-effect transistors (GFET) and resonant tunneling diodes (RTD) are analyzed with the use of proposed models. First, simulation of dual-gate field-effect transistor based on monolayer graphene with the use of proposed combined model is considered. In the model the following important factors such as quantum capacitance, hole and electron mobility difference, drain and source resistances are taken into account. Investigations of dependence of a drain current on drain voltage for various top-gate-to-source voltages are performed. Influence of channel length, source and drain resistances on output characteristics of the device is analyzed. Comparison of calculation results with simulation ones obtained with the known models was carried out. Secondly, simulation of graphene-based nanostructures on hexagonal boron nitride, silicon carbide and silicon dioxide substrates was performed using proposed self-consistent numerical model, based on effective wave function formalism. The developed models in detail were described in our previous works. The possibility of using a proposed self-consistent model for double- and triple-barrier graphene-based RTD simulation was illustrated. As well as it was investigated the influence of different parameters on IV-characteristics of graphene-based RTDs. It was shown that it is necessary to take into account extended (passive) regions for adequate simulation of these devices.
Retrospective Comparison of Laparoscopic versus Open Radical Hysterectomy for Early-Stage Cervical Cancer in a Single Tertiary Care Institution from Lithuania between 2009 and 2019

Background and Objectives: A great debate within the academic arena was evoked by the LACC study, giving rise to doubt regarding the oncological outcomes of the laparoscopic approach for early-stage cervical cancer. This encouraged us to conduct a retrospective analysis of CC treatment surgical approaches applied to the patients at tertiary level Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania, between 2009 and 2019. Materials and Methods: The retrospective study was carried out to evaluate the outcomes after 28 laparoscopic and 62 laparotomic radical hysterectomies for early cervical cancer in a single tertiary care institution performed during the period 2009–2019. For statistical analysis of patients’ parameters, SPSS v. 17.0 was applied, together with the Kaplan–Meier method with a long-rank test and the Cox proportional hazard regression model used for bi-variate analysis determining OS outcomes between MIS and open-surgery groups. Results: After computing data with the Cox regression model, there was no significant difference of the 36-months overall survival between laparoscopy and laparotomy groups, as opposed to the LACC study. Conclusions: Our tertiary institution faces a considerable challenge, and we acknowledge the limitations of the study and also feel a responsibility to follow the latest guidelines. Currently, it appears that the most substantial attention should be focused on the cessation of uterine manipulator use as well as laparoscopic technique learning curves.
Vision Transformer for Pansharpening

Pansharpening is a fundamental and hot-spot research topic in remote sensing image fusion. In recent years, self-attention-based transformer has attracted considerable attention in natural language processing (NLP) and introduced to attend to computer vision (CV) tasks. Inspired by great success of the vision transformer (ViT) in image classification, we propose an improved and advanced purely transformer-based model for pansharpening. In the proposed method, stacked multispectral (MS) and panchromatic (PAN) images are cropped into patches (i.e., tokens), and after a three-layer self-attention-based encoder, these tokens contain rich information. After upsampled and stitched, a high spatial resolution (HR) MS image is finally obtained. Instead of convolutional neural networks (CNNs) pursuing a short-distance dependency, our proposed method aims to build up a long-distance dependency, to make full use of more useful features. The experiments were conducted on an opening benchmark dataset, including IKONOS with four-band MS/PAN images and WorldView-2 MS images featured by eight bands. In addition, the experiments were performed on reduced and full-resolution datasets from both qualitative and quantitative evaluation aspects. The experimental results indicate the competitive performance of the proposed model than other pansharpening methods, including the state-of-the-art pansharpening algorithms based on CNN.
Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion

Abstract In the present study, we used an unsupervised classification algorithm to reveal both consistency and degeneracy in neural network connectivity during anger and anxiety. Degeneracy refers to the ability of different biological pathways to produce the same outcomes. Previous research is suggestive of degeneracy in emotion, but little research has explicitly examined whether degenerate functional connectivity patterns exist for emotion categories such as anger and anxiety. Twenty-four subjects underwent functional magnetic resonance imaging (fMRI) while listening to unpleasant music and self-generating experiences of anger and anxiety. A data-driven model building algorithm with unsupervised classification (subgrouping Group Iterative Multiple Model Estimation) identified patterns of connectivity among 11 intrinsic networks that were associated with anger vs anxiety. As predicted, degenerate functional connectivity patterns existed within these overarching consistent patterns. Degenerate patterns were not attributable to differences in emotional experience or other individual-level factors. These findings are consistent with the constructionist account that emotions emerge from flexible functional neuronal assemblies and that emotion categories such as anger and anxiety each describe populations of highly variable instances.
Homography-Based Loss Function for Camera Pose Regression

Some recent visual-based relocalization algorithms rely on deep learning methods to perform camera pose regression from image data. This letter focuses on the loss functions that embed the error between two poses to perform deep learning based camera pose regression. Existing loss functions are either difficult-to-tune multi-objective functions or present unstable reprojection errors that rely on ground truth 3D scene points and require a two-step training. To deal with these issues, we introduce a novel loss function which is based on a multiplane homography integration. This new function does not require prior initialization and only depends on physically interpretable hyperparameters. Furthermore, the experiments carried out on well established relocalization datasets show that it minimizes best the mean square reprojection error during training when compared with existing loss functions.
Effects of Faulty Design Phase on School Buildings Maintenance in Gaza Strip

The aim of this paper is to identify and rank the design phase faults/errors affecting on the maintenance of the United Nations Relief and Works Agency (UNRWA)'s school’s buildings in Gaza Strip, and to propose recommendations for minimizing the future maintenance problem related to the school buildings at Gaza Strip. A survey was conducted to collect the required data were adopted in this study. This study reveals the important factors that leading to defects in the design stage which includes: lack of workshops to discuss construction problems between project parts, Inadequate QA/QC programs during design stage, Lack of auditing and archiving of approved as-built drawing documents electronically after the completion the project. The study recommends several actions to improve maintenance performance of UNRWA's schools in Gaza Strip. The designer must take into account maintenance considerations during the design and supervision stages by choosing of durable materials. The UNRWA should conduct workshops or training courses for designers, supervisor, and maintenance engineers.
Usefulness of the DNA-fingerprinting pattern and the multilocus enzyme electrophoresis profile in the assessment of outbreaks of meningococcal disease

SUMMARY The objective of the study was to assess whether genotypic characterization by means of DNA-fingerprinting pattern (DFP) and multilocus enzyme electrophoresis (MEE) profile as compared to phenotypic characterization would improve the differentiation of Neisseria meningitidis strains associated with outbreaks from strains associated with sporadic cases of meningococcal disease. In addition, the differentiation of serogroup C carrier strains from those associated with an outbreak of serogroup C meningococcal disease was investigated. A total of 118 N. meningitidis strains were available for the study: 59 from patients involved in outbreaks of meningococcal disease (2 serogroup B and 2 serogroup C), 37 from patients considered to be sporadic cases and 22 serogroup C carrier strains. Among the 59 strains from patients involved in outbreaks the 4 strains isolated from the patient registered as the first in each outbreak were designated the index strains. Among the remaining 55 outbreak strains 52 were either DFP-identical or DFP-indistinguishable when compared with the one relevant out of the 4 index strains. This was only the case for 17 of the 37 strains isolated from sporadic cases caused by the same serogroup of meningococci during the outbreak periods, and 5 of the 22 meningococcal strains isolated from healthy carriers. Among the 56 (52 + 4) DFP-identical or DFP-indistinguishable outbreak strains 5 different electrophoretic types were identified by MEE. Among 59 assumed outbreak strains a total of 4 were identified as genotypically distinct. Among the 37 mainly DFP-indistinguishable or DFP-different strains from sporadic cases 17 different ETs were identified, and among the 22 mainly DFP-different carrier strains 13 different ETs were identified. Two strains among those selected from sporadic cases were identical to the outbreak strain. None of the local serogroup C carrier strains isolated during the outbreak of serogroup C disease were identical to the outbreak strain. Both DNA-fingerprinting and MEE improved the differentiation of meningococci when compared with phenotypic characterization. The results indicate that tracing a virulent strain within an open group of contacts is irrelevant.
Enterococcus casseliflavus KB1733 Isolated from a Traditional Japanese Pickle Induces Interferon-Lambda Production in Human Intestinal Epithelial Cells

The association between lactic acid bacteria (LAB) and their immunostimulatory effects has attracted considerable attention; however, it remains unclear whether LAB can induce interferon-lambdas (IFN-λs) in human epithelial cells under conditions that do not mimic infection. In this study, we first employed a reporter assay to screen for a potential strain capable of inducing IFN-λ3 among 135 LAB strains derived from traditional Japanese pickles. Next, we assessed the strain’s ability to induce the expression of IFN-λ genes and interferon-stimulated genes (ISGs), and to produce IFN-λs. As a result, we screened and isolated Enterococcus casseliflavus KB1733 (KB1733) as a potential strain capable of inducing IFN-λ3 expression. Furthermore, we clarified that KB1733 induced the expression of IFN-λ genes and ISGs related to antiviral functions, and that KB1733 induced IFN-λ1 and -λ3 expression in a dose-dependent manner up to 10 μg/mL. In addition, KB1733 significantly increased IFN-λ1 production compared to Enterococcus casseliflavus JCM8723T, which belongs to the same genera and species as KB1733. In conclusion, we isolated a unique LAB strain from traditional Japanese pickles that is capable of stimulating IFN-λ production, although further study is needed to investigate how KB1733 protects against viruses in mice and humans.
Aspects of Psychiatric Comorbidities in Breast Cancer Patients in Tertiary Hospitals Due to COVID-19 Outbreak in South Korea: A Single Center Longitudinal Cohort Study

Background and Objectives: This study aimed to analyze the prevalence of mental disorders in patients with breast cancer at Ajou University Hospital. In addition, the patterns and prevalence of mental disorders according to the occurrence of coronavirus disease (COVID-19) were analyzed. Materials and Methods: From 1 January 2008 to 30 June 2021, psychiatric disorders were identified in 5174 female patients diagnosed with breast cancer at Ajou University Hospital. Based on the time when COVID-19 occurred, the pattern of onset of mental disorders in patients with breast cancer was analyzed. In addition, the prevalence of mental disorders according to the time of breast cancer diagnosis and age was evaluated. Results: A year before the diagnosis of breast cancer, 371 patients were diagnosed with a mental disorder. Of these, 201 patients were diagnosed with stress and adjustment disorders, and 97 patients had anxiety disorders. The overall frequency of psychiatric disorders after breast cancer diagnosis peaked two months later. Among psychiatric disorders reported before the COVID-19 pandemic, the proportion of stress/adaptation disorders was 52%, and among psychiatric disorders reported after the pandemic, it was significantly higher at 94.7%. Anxiety was found to be high in the elderly group aged ≥ 60 years, and the prevalence of stress and adjustment disorders tended to increase in the non-elderly group. Conclusions: Breast cancer patients showed different patterns of psychiatric disorders according to age, time of breast cancer diagnosis, and the occurrence of COVID-19. Owing to the COVID-19 pandemic, delays in treatment and anxiety about infection have increased the rate of stress and adjustment disorders in cancer patients. Mental health management during the pandemic and after cancer diagnosis can improve the quality of life of patients with cancer.
Target-Specific Exosome Isolation through Aptamer-Based Microfluidics

Exosomes (30–100 nm in diameter) are a group of cell-derived membrane vesicles, packaged as valuable cargo with lipid, proteins, and genetic materials from their parent cells. With the increasing interest in exosomes for diagnostic and therapeutic applications, the rapid isolation of pure exosome populations has become a hot topic. In this paper, we propose modified microchannels with aptamer in a microfluidics system for rapid and efficient isolation of exosomes by targeting exosome-carrying CD63 and PTK 7. The capture efficiency in surface-modified channels reaches around 107–108 particles/mL in 20 min, and purified exosomes with reliable size can be achieved.
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis

Abstract Generalized structured component analysis (GSCA) is used for specifying and testing the relationships between observed variables and components. GSCA can perform model selection by comparing theoretically established models. In practice, however, theories may not always completely and unambiguously specify the relationships between variables in the model. In such situations, a specification search strategy allows for exploring potential relationships between variables in a data-driven manner. A specification search based on prediction of unseen observations is attractive as it does not require the provision of theoretically plausible models. To date, GSCA has not been equipped with such a specification search strategy. Addressing this limitation, we propose a prediction-oriented specification search algorithm for GSCA, which reveals the best combination of predictors that minimizes each target variable’s prediction error. We conduct a simulation study to examine the new algorithm’s performance and apply it to real data to further investigate and demonstrate its practical usefulness.
The impact of disc settings and slash characteristics on the Bracke three-row disc trencher’s performance

ABSTRACT When reforesting, disc trenching is the most common site preparation method in Canada. The settings on today’s disc trenching units can be modified extensively, but the effect of these modifications on the work quality and machine performance is poorly understood. We studied a three-row Bracke T35.a disc trenching unit that used five different disc settings to prepare three sites with five different slash characteristics in New Brunswick. We measured the travel speed and the resulting microsite quality during 2–4 machine passes on all 25 treatment combinations, plus the fuel consumption using an engine control module during 1–3 machine passes on 15 treatment combinations. The results showed no difference in microsite quality between disc settings, but it was significantly higher with seasoned than fresh slash, parallel-aligned than perpendicular-aligned slash, and softwood than mixedwood slash. Fuel consumption was significantly lower with parallel-aligned slash and softwood slash, but it was also markedly lower with the least aggressive disc settings. Our results suggest that increased disc down pressure increases fuel consumption but does not increase microsite quality among slash, while parallel-aligned slash increases both the work- and fuel-efficiency of the disc trencher. We therefore recommend operators to use less aggressive settings when disc trenching among slash, but also to become more active in monitoring their work quality. Foresters can further increase disc trenching efficiency by prescribing the trenches parallel to slash alignment and/or in seasoned slash; however, such prescriptions must be balanced with potentially longer rotation periods and added costs to harvesting, machine relocation, and tree planting.
Bacillus subtilis Supplementation in a High-Fat Diet Modulates the Gut Microbiota and Ameliorates Hepatic Lipid Accumulation in Grass Carp (Ctenopharyngodon idella)

To study the effects of Bacillus subtilis supplementation in a high-fat diet on the gut microbiota and nonalcoholic fatty liver disease in grass carp (Ctenopharyngodon idella), juveniles (60 ± 5 g) were fed three diets: (a) a control diet (CON), (b) a high-fat diet (HFD) and (c) a high-fat diet supplemented with B. subtilis (HFD + BS). After 8 weeks of feeding, fish growth, serum biochemical indices and total liver lipid content were measured, and gut microbiota analysis was performed using the MiSeq250 high-throughput sequencing platform. The results of this study showed that B. subtilis could improve growth and blood serum indices and reduce lipid deposition in the fish liver, preventing fatty liver disease. A grass carp model of fatty liver induced by a high-fat diet was successfully established. Moreover, B. subtilis altered the intestinal microbiota of HFD-fed grass carp, making it more similar to that of the control group. This study revealed the important effects of B. subtilis on grass carp with fatty liver induced by a high-fat diet and provides the foundation for the application of probiotics in grass carp farming.
Cytoskeleton Induced through TCR Role of Fyn in the Rearrangement of Tubulin

The translocation of the microtubule-organizing center (MTOC), its associated signaling complex, and the secretory apparatus is the most characteristic early event that involves the tubulin cytoskeleton of T or NK cells after their interaction with APC or target cells. Our results show that Fyn kinase activity is essential for MTOC reorientation in an Ag-dependent system. Moreover, T cells from Fyn-deﬁcient mice are unable to rearrange their tubulin cytoskeleton in response to anti-CD3-coated beads. Analysis of conjugates of T cells from transgenic OT-I mice with dendritic cells revealed that an antagonist peptide induces translocation of the MTOC, and that this process is impaired in T cells from Fyn (cid:1) / (cid:1) OT-I mice. In addition, Fyn deﬁciency signiﬁcantly affects the MTOC relocation mediated by agonist peptide stimulation. These results reveal Fyn to be a key regulator of tubulin cytoskeleton reorganization in T cells. The Journal of Immunology, 2006, 176: 4201–4207.
VMRR_A_235258 381..399

Department of Clinical Science and Services, The Royal Veterinary College, North Mymms, Hertfordshire, UK Abstract: This narrative review explores the etiopathogenesis, clinical signs, diagnosis and treatment of ESGD (equine squamous gastric disease) and discusses the impact of this commonly encountered condition on the equine industry. ESGD refers specifically to peptic injury of the squamous mucosa of the stomach. Prevalence is highest in performance horses, but the disease has been documented across many breeds and ages, including in feral horses and foals. The pathogenesis of ESGD is well understood. Intensive management and exercise are important factors that contribute to a disruption of the normal stratification of gastric pH. This results in exposure of the vulnerable squamous mucosa to acid, leading to ulceration. Clinical signs are variable and there is little evidence to support a direct association between reported signs and the presence or absence of lesions seen on gastroscopy. Management is aimed at acid suppression and mitigation of known risk factors.
Comparative Study of Knee Function and Pain Between the Suprapatellar and Medial Parapatellar Approaches After Intramedullary Nailing of a Tibial Fracture

Introduction: Anterior knee pain is the most frequent cause of reoperation after intramedullary nailing of a tibial fracture. In recent years, semi-extension approaches have simplified the surgical technique, but postoperative pain continues to be the most frequent complication. The aim of this study is to compare the medial parapatellar approach (PPM) vs the suprapatellar approach (SP) with respect to knee pain and postoperative function after intramedullary tibial nailing. Materials and Methods: We retrospectively formed 2 groups of patients with tibial fractures treated with intramedullary nailing through the PPM (n:33) and SP (n:17) approaches. We evaluated postoperative knee pain with the VAS and Lysholm score; and function with the SF-12. They were clinically evaluated at 1, 3, 6 and 12 months. results: The mean age of the groups was 41.5 years (29-76) for the PPM group and 40.4 years (23-90) for the SP group. Pain and knee function were significantly better in the group of patients operated through the SP approach. conclusion: The suprapatellar approach is associated with less knee pain and better postoperative function after intramedullary nailing of a tibial fracture. However, prospective studies should validate these results. nailing. However, these results must be validated by studies with a larger number of patients and prospective designs.