Miracle-dz/UniFAR-FTUs huggingface dataset:
Cuticle Protein LmACP19 Is Required for the Stability of Epidermal Cells in Wing Development and Morphogenesis of Locusta migratoria

Insect wing consists of a double layer of epidermal cells that produce and secrete the dorsal and ventral cuticular components. It is important for the stability of epidermal cells during wing development and morphogenesis, but its specific gene expression and physiological function during this process remain unclear. In our previous work, a wing cuticle protein gene LmACP19 was identified in Locusta migratoria based on transcriptomic data. Here, we report on its roles in wing development and morphogenesis. LmACP19 encodes a chitin-binding protein belonging to RR-2 subfamily of CPR family, which is highly homologous to CP19-like proteins in other insect species. RT-qPCR analysis revealed that LmACP19 is highly expressed in wing pads of fifth-instar nymphs, and its encoded protein is located in two layers of epidermal cells but not in the cuticle. Suppression of LmACP19 by RNA interference led to abnormal wing pad and wing morphogenesis with curved, unclosed, and wrinkled phenotypes during nymph-to-nymph and nymph-to-adult transition, respectively. Furthermore, deficiency of LmACP19 affected arrangement of epidermal cells, resulting in apoptosis. Our results indicate that LmACP19 is indispensable for wing development and normal morphological structure by maintaining the stability of epidermal cells during L. migratoria molting.
State-based Event-triggered Trajectory Tracking Control for the Stratospheric Airship

This paper studies the trajectory tracking problem of the stratospheric airship based on event-triggering mechanism. An event-triggered stratospheric airship trajectory tracking control algorithm is designed based on the adaptive back-stepping control framework, state observer and auxiliary system. The state observer is used to estimate the system state within the trigger interval and the auxiliary system is used to handle the actuator saturation problem. Stability analysis shows that the tracking error of the system and the observation error of the observer are bounded, and there is no Zeno phenomenon in the flight process. The simulation results show that the control algorithm proposed in this paper can significantly reduce the working time of the sensors while ensuring that the airship can track the desired trajectory.
Molecular Modelling of 1H-Benzo [b] [1,5] Diazepine-2(3H)-one Derivatives and Docking Studies Against Receptor Associated Protein

In the present investigation, some N1-benzoyl/ N1-(1,3,4-thiadiazol-2-yl amino acetyl) -7-substituted- 4-methyl-1,5-benzodiazepine-2-one were designed and docked at active site of cavity 1# of GABA-A receptor associated protein (1KJT) to distinguish from their hypothetical binding mode. The X-ray crystal structure of mammalian GABA-A receptor associated protein (1KJT) obtained from protein data bank was used as target protein. In this investigation the comparative analysis of the docking experiments of modelled compounds with known GABA agonist, Lofendazam was carried out. The dock scores calculated for Lofendazam was -4.7373. Among the modelled compounds, following conformation were found to have lower dock scores as indicated in bracket in comparison to other confermers; N1-benzoyl-7- bromo- 4-methyl-1,5-benzodiazepine-2-one, conformer_C3 (-5.0915), N1-(1,3,4-thiadiazol-2-yl amino acetyl) -7-chloro-4-methyl-1,5-benzodiazepine-2-one, Conformer_C2 (-4.6532). These conformers have more affinity for active site of GABA-A receptor associated protein than other molecules.
Review of the Clinical Applications of Metagenomic Next-Generation Sequencing in Bloodstream Infection

Bloodstream infection (BSI) is an important cause of morbidity and mortality worldwide. If we can make early diagnosis and start effective antibiotic treatment in time, the hospitalization time of patients with bloodstream infection can be significantly shortened. However, the current diagnosis of bloodstream infection cannot achieve the ideal therapeutic effect to a large extent because of the matrix effect of blood and the long turnaround time of blood culture. Therefore, a new detection method with a short turnaround time and high sensitivity is needed for the early diagnosis and timely treatment to improve the prognosis of patients. Metagenomic next-generation sequencing (mNGS) is a recently developed method for the comprehensive analysis of all microorganisms and genetic materials in clinical samples and is expected to be the main method for the early diagnosis of bloodstream infections. This review discusses the clinical application of mNGS in bloodstream infections. We also discuss technical challenges that need to be addressed to improve the diagnostic applicability of mNGS.
Segmentation and Quantitative Analysis of Photoacoustic Imaging: A Review

Photoacoustic imaging is an emerging biomedical imaging technique that combines optical contrast and ultrasound resolution to create unprecedented light absorption contrast in deep tissue. Thanks to its fusional imaging advantages, photoacoustic imaging can provide multiple structural and functional insights into biological tissues such as blood vasculatures and tumors and monitor the kinetic movements of hemoglobin and lipids. To better visualize and analyze the regions of interest, segmentation and quantitative analyses were used to extract several biological factors, such as the intensity level changes, diameter, and tortuosity of the tissues. Over the past 10 years, classical segmentation methods and advances in deep learning approaches have been utilized in research investigations. In this review, we provide a comprehensive review of segmentation and quantitative methods that have been developed to process photoacoustic imaging in preclinical and clinical experiments. We focus on the parametric reliability of quantitative analysis for semantic and instance-level segmentation. We also introduce the similarities and alternatives of deep learning models in qualitative measurements using classical segmentation methods for photoacoustic imaging.
Comparing Measurements of Vascular Diameter Using Adaptative Optics Imaging and Conventional Fundus Imaging

The aim of this prospective study was to compare retinal vascular diameter measurements taken from standard fundus images and adaptive optics (AO) images. We analysed retinal images of twenty healthy subjects with 45-degree funduscopic colour photographs (CR-2 Canon fundus camera, Canon™) and adaptive optics (AO) fundus images (rtx1 camera, Imagine Eyes®). Diameters were measured using three software applications: the VAMPIRE (Vessel Assessment and Measurement Platform for Images of the REtina) annotation tool, IVAN (Interactive Vessel ANalyzer) for funduscopic colour photographs, and AO_Detect_Artery™ for AO images. For the arterial diameters, the mean difference between AO_Detect_Artery™ and IVAN was 9.1 µm (−27.4 to 9.2 µm, p = 0.005) and the measurements were significantly correlated (r = 0.79). The mean difference between AO_Detect_Artery™ and VAMPIRE annotation tool was 3.8 µm (−34.4 to 26.8 µm, p = 0.16) and the measurements were poorly correlated (r = 0.12). For the venous diameters, the mean difference between the AO_Detect_Artery™ and IVAN was 3.9 µm (−40.9 to 41.9 µm, p = 0.35) and the measurements were highly correlated (r = 0.83). The mean difference between the AO_Detect_Artery™ and VAMPIRE annotation tool was 0.4 µm (−17.44 to 25.3 µm, p = 0.91) and the correlations were moderate (r = 0.41). We found that the VAMPIRE annotation tool, an entirely manual software, is accurate for the measurement of arterial and venular diameters, but the correlation with AO measurements is poor. On the contrary, IVAN, a semi-automatic software tool, presents slightly greater differences with AO imaging, but the correlation is stronger. Data from arteries should be considered with caution, since IVAN seems to significantly under-estimate arterial diameters.
Integrating Mobile Web 2.0 within tertiary education

Based on three years of innovative pedagogical development and guided by a participatory action research methodology, this paper outlines an approach to integrating mobile web 2.0 within a tertiary education course, based on a social constructivist pedagogy. The goal is to facilitate a student-centred, collaborative, flexible, context-bridging learning environment that empowers students as content producers and learning context generators, guided by lecturers who effectively model the use of the technology. We illustrate how the introduction of mobile web 2.0 has disrupted the underlying pedagogy of the course from a traditional Attelier model (face-to-face apprenticeship model), and has been successfully transformed into a context independent social constructivist model. Two mobile web 2.0 learning scenarios are outlined, including; a sustainable house design project (involving the collaboration of four departments in three faculties and three diverse groups of students), and the implementation of a weekly ‘nomadic studio session'. Students and lecturers use the latest generation of smartphones to collaborate, communicate, capture and share critical and reflective learning events. Students and lecturers use mobile friendly web 2.0 tools to create this environment, including: blogs, social networks, location aware (geotagged) image and video sharing, instant messaging, microblogging etc… Feedback from students and lecturers has been extremely positive,
Limitations of Phage Therapy and Corresponding Optimization Strategies: A Review

Bacterial infectious diseases cause serious harm to human health. At present, antibiotics are the main drugs used in the treatment of bacterial infectious diseases, but the abuse of antibiotics has led to the rapid increase in drug-resistant bacteria and to the inability to effectively control infections. Bacteriophages are a kind of virus that infects bacteria and archaea, adopting bacteria as their hosts. The use of bacteriophages as antimicrobial agents in the treatment of bacterial diseases is an alternative to antibiotics. At present, phage therapy (PT) has been used in various fields and has provided a new technology for addressing diseases caused by bacterial infections in humans, animals, and plants. PT uses bacteriophages to infect pathogenic bacteria so to stop bacterial infections and treat and prevent related diseases. However, PT has several limitations, due to a narrow host range, the lysogenic phenomenon, the lack of relevant policies, and the lack of pharmacokinetic data. The development of reasonable strategies to overcome these limitations is essential for the further development of this technology. This review article described the current applications and limitations of PT and summarizes the existing solutions for these limitations. This information will be useful for clinicians, people working in agriculture and industry, and basic researchers.
Fusing Landsat-7, Landsat-8 and Sentinel-2 surface reflectance to generate dense time series images with 10m spatial resolution

ABSTRACT Due to the influence of the external atmospheric environment and the physical constraints of the sensors, it is difficult for existing medium spatial resolution sensors to produce intensive time-series images. The easy accessibility and similar sensor configuration of Landsat and Sentinel-2 data make them suitable for synthesizing time-series images. Currently, some deep learning-based studies have achieved significant success in multi-sensor fusion, but these deep-learning fusion networks only use single features that are not enough to produce intensive time-series images. Shallow features are easy to extract but have weak representation, while the deep network can extract abstract features with strong representation ability but faces the problem of gradient disappearance and model degradation. To address these problems, we propose a novel spatial-temporal-spectral integration model that can simultaneously fuse Landsat-7,8 and Sentinel-2 sensors. First, an enhanced residual dense network (ERDN) is proposed to improve Landsat’s four bands (Blue, Green, Red, and Near-infrared) to 10 m spatial resolution. ERDN’s residual dense structure utilizes abundant shallow features (i.e. texture and spectral information) and deep features (i.e. angles of view and aspect ratios of objects) to reconstruct spatial structures. At the same time, the introduced high-resolution images can provide reliable spatial auxiliary information for the missing image parts. Second, we employ a time-series-based reflectance adjustment (TRA) method to reduce the reflectance differences between Landsat and Sentinel-2 images. The fusion results indicate that our fusion framework can not only fill the gap caused by the Landsat-7 scan-line corrector (SLC) failure but also restore more spatial details than previous methods. More importantly, it can predict tiny reflectance changes in land cover. Overall, our study can produce continuous reflection observations with a higher time density and provides important data guarantee for extracting dynamic changes in land coverages.
NAMPT Inhibitor and P73 Activator Represses P53 R175H Mutated HNSCC Cell Proliferation in a Synergistic Manner

The p53 family has the following three members: p53, p63 and p73. p53 is a tumor suppressor gene that frequently exhibits mutation in head and neck cancer. Most p53 mutants are loss-of-function (LoF) mutants, but some acquire some oncogenic function, such as gain of function (GoF). It is known that the aggregation of mutant p53 can induce p53 GoF. The p73 activators RETRA and NSC59984 have an anti-cancer effect in p53 mutation cells, but we found that p73 activators were not effective in all head and neck squamous cell carcinoma (HNSCC) cell lines, with different p53 mutants. A comparison of the gene expression profiles of several regulator(s) in mutant HNSCC cells with or without aggregation of p53 revealed that nicotinamide phosphoribosyltransferase (NAMPT) is a key regulator of mutant p53 aggregation. An NAMPT inhibitor, to reduce abnormal aggregation of mutant p53, used in combination with a p73 activator, was able to effectively repress growth in HNSCC cells with p53 GoF mutants. This study, therefore, suggests a potential combination therapy approach for HNSCC with a p53 GoF mutation.
A Randomized Controlled Trial of Motor Imagery Combined with Virtual Reality Techniques in Patients with Parkinson’s Disease

Background: Parkinson’s disease is the second most common neurological disease, affecting balance, motor function, and activities of daily living. Virtual reality and motor imagery are two emerging approaches for the rehabilitation of patients with Parkinson’s disease. This study aimed to determine the combined effects of virtual reality and motor imagery techniques with routine physical therapy on the motor function components of individuals with Parkinson’s disease. Methods: The study was a prospective, two-arm, parallel-design randomized controlled trial. Forty-four patients with idiopathic Parkinson’s disease were randomly assigned to one of two groups. Virtual reality and motor imagery were given together with physical therapy in the experimental group (N: 20), while physical therapy treatment alone was given in the control group (N: 21). Both groups received allocated treatment for 12 weeks, 3 days a week, on alternate days. Motor function was assessed at baseline, six weeks, twelve weeks, and sixteen weeks after discontinuing treatment with the Unified Parkinson’s Disease Rating Scale part III. SPSS 24 was used to analyze the data. Results: Study results indicate that the experimental group showed significant improvements in the motor function components: tremor at rest at the 6th week (p = 0.028), 12th week (p = 0.05), and 16th week (p = 0.001), rigidity at the 6th week (p = 0.03), 12th week (p = 0.000), and 16th week (p = 0.001), posture at the 12th week (p = 0.005) and 16th week (p = 0.004), and gait at the 6th week with a p-value of (p = 0.034). Conclusions: This study demonstrated that virtual reality and motor imagery training in combination with routine physical therapy can significantly improve resting tremors, rigidity, posture, gait, and body bradykinesia in individuals with PD in comparison to patients receiving only routine physical therapy.
Continuing Care through Telerehabilitation for Patients in a COVID-19 Referral Center in the Philippines: A Case Series

In April 2020, the Department of Rehabilitation Medicine (DRM) of the University of the Philippines - Philippine General Hospital (UP-PGH) transitioned to a telerehabilitation program called ITAWAG, an acronym for Introducing Telerehab As a Way to Access General rehabilitation medicine services. This was in response to the designation of UP-PGH as a COVID-19 referral center and the abrupt closure of all its in-patient and out-patient rehabilitation services. Eleven previous in-patients and out-patients with musculoskeletal and neurologic impairments continued their rehabilitation programs remotely, either through a phone call or video call. Their clinical outcomes and the implementation of the ITAWAG program were monitored to determine the effectiveness of an offsite continuing care program. Using the Clinical Global Impressions-Severity (CGI-S) scale, eight patients had a reduction in the severity of their illness, while the remaining three clients had no change. Feedback surveys showed that most clients and caregivers (68%) and health providers (77%) were satisfied with the program's implementation and its outcome. A frequent complaint was the poor phone reception and internet connection. As threats of a COVID-19 outbreak continue, telerehabilitation gives patients a safe, affordable, and convenient alternative for follow-up and continuity of care in medical rehabilitation. Integrating the ITAWAG program into the initial facility-based rehabilitation management can enhance its value in optimizing functional gains and resolving its shortcomings.
Socio-spatial transformation of neighbourhoods around rail transit stations: an experience from Tehran, Iran

While increasing evidence suggests that rail infrastructure plays a structuring role in shaping and transforming cities and regions over time, empirical studies on the simultaneous development of rail infrastructure and socio-spatial transformation of surrounding neighbourhoods, especially at a local scale, are scarce. The main aim of the article is to evaluate the transformation of neighbourhoods around rail transit stations, as well as provide a possible explanation of how neighbourhoods can be differently affected by the presence of rail stations. Based on a longitudinal dataset (2006–16) and using a Difference-in-Differences (DID) model and Multivariate Analysis of Variance (MANOVA), a comparative analysis of the Tehran Metro Rail System (TMRS) is conducted between high-income neighbourhoods and low-income neighbourhoods of the city. The results yield that the northern, high-income neighbourhoods and the southern, low-income neighbourhoods of Tehran have been transformed heterogeneously in terms of socio-demographic factors, land-use conditions and renewal processes. The findings also indicate that the mixed estimated transformation of neighbourhoods around TMRS’s stations could be explained by the contextual factors of the northern and southern study settings in Tehran, including land-use characteristics and socio-economic factors.
Experience Measures after Radical Prostatectomy: A Register-Based Study Evaluating the Association between Patient-Reported Symptoms and Quality of Information

Patient-reported data are important for quality assurance and improvement. Our main aim was to investigate the association between patient-reported symptoms among patients undergoing radical prostatectomy and their perceived quality of information before treatment. In this single-centre study, 235 men treated with robotic-assisted radical prostatectomy (RARP) between August 2017 and June 2019, responded to a follow-up questionnaire 20–42 months after surgery. A logistic regression analysis was performed to assess the association between patient-reported symptoms, measured with Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP), and the perceived quality of information. Adverse effects were defined as a higher EPIC score at follow-up than at baseline. The majority (77%) rated the general information as good. Higher EPIC-CP at follow-up was significantly associated with lower perceived quality of information, also after adjustment for age and level of education (bivariate model OR 1.12, 95% CI 1.07; 1.16, p < 0.001 and multiple model OR 1.12 95% CI 1.08; 1.17, p < 0.001). The share who rated information as good was almost identical among those who reported more symptoms after treatment and those who reported less symptoms (78.3% and 79.2%). Consequently, adverse effects could not explain the results. Our findings suggest a need for improvement of preoperative communication.
The Study of Expanded Polytetrafluoroethylene New Material in Dural Repair

Dural defect is a common problem in neurosurgery, and the emergence of expanded polytetrafluoroethylene material provides an effective solution for the rehabilitation of artificial blood vessels, heart patches, and other fields. However, studies on the repair of expanded polytetrafluoroethylene in the dura have reported the occurrence of adverse events of cerebrospinal fluid leakage. Therefore, the task of improving expanded polytetrafluoroethylene materials cannot be delayed. In this study, a new composite dural repair material based on expanded polytetrafluoroethylene and polylactic acid-glycolic acid (expanded polytetrafluoroethylene/polylactic acid-glycolic acid) was designed and synthesized. The results of in vivo experiments confirmed that the material can fully meet the requirements of repairing the integrity of the dura mater, providing protection for the intracranial structure and rebuilding the extracellular matrix. More importantly, the new composite dural repair material can greatly reduce the incidence of cerebrospinal fluid leakage and inhibit inflammation. Therefore, the application data of this study on New Zealand rabbit species will lay an important foundation for the development of dural repair technology.
Response of physiological characteristics to water stress, application of salicylic acid and zeolite in Safflower

In order to evaluate the effects of of Response of Safflower physiological characteristics to water stress, application of salicylic acid and zeolite, this study was carried out in field of Arak university in Markazi province in 2010. A split factorial design based randomized complete block with four replications was used. In this experiment water stress as a major factor in three levels according to (I0 = Complete Irrigation (control), I 1 = 85 % of the plant water requirement, I 2 = 70 % of the plant water requirement) in the main plots and consume different amounts of zeolite at three levels (Z0 = without zeolite (control), Z 1 = zeolite consumed 4 t ha -1 , Z 2 = zeolite consumed 8 t ha -1 ) and two levels of salicylic acid (not consumed SA 0 = without salicylic acid SA 1 = 300 ppm consumption of salicylic acid (sprayed)) as a factorial combination of factors, sub-sub plots were placed. The results showed that the effect of different levels of water stress on traits such as: Stem diameter, Harvest index of un-direct boll, Relative water content, Water saturation deficit and Percent of rate water loss and characters such as: Economical yield of main boll and Days to maturity was significant at 5% statistically level. Also, different levels of zeolite consumption on the characteristics such as: Economical yield of main boll, Water saturation deficit and Rate water loss was significant at 1% statistically level. also taking salicylic acid on the plants, on traits such as: 1000 grain weight of main boll and Water saturation deficit was significant in the statistical level of 1 and 5% respectively.