Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Temporal Characteristics on Pilots Perceiving Audiovisual Warning Signals Under Different Perceptual Loads

Our research aimed to investigate the effectiveness of auditory, visual, and audiovisual warning signals for capturing the attention of the pilot, and how stimulus onset asynchronies (SOA) in audiovisual stimuli affect pilots perceiving the bimodal warning signals under different perceptual load conditions. In experiment 1 of the low perceptual load condition, participants discriminated the location (right vs. left) of visual targets preceded by five different types of warning signals. In experiment 2 of high perceptual load, participants completed the location task identical to a low load condition and a digit detection task in a rapid serial visual presentation (RSVP) stream. The main effect of warning signals in two experiments showed that visual and auditory cues presented simultaneously (AV) could effectively and efficiently arouse the attention of the pilots in high and low load conditions. Specifically, auditory (A), AV, and visual preceding auditory stimulus by 100 ms (VA100) increased the spatial orientation to a valid position in low load conditions. With the increase in visual perceptual load, auditory preceding the visual stimulus by 100 ms (AV100) and A warning signals had stronger spatial orientation. The results are expected to theoretically support the optimization design of the cockpit display interface, contributing to immediate flight crew awareness.
AutoPlate: Rapid Dose-Response Curve Analysis for Biological Assays

The emergence of COVID-19 has emphasised that biological assay data must be analysed quickly to develop safe, effective and timely vaccines/therapeutics. For viruses such as SARS-CoV-2, the primary way of measuring immune correlates of protection is through assays such as the pseudotype microneutralisation (pMN) assay, thanks to its safety and versatility. However, despite the presence of existing tools for data analysis such as PRISM and R the analysis of these assays remains cumbersome and time-consuming. We introduce an open-source R Shiny web application and R library (AutoPlate) to accelerate data analysis of dose-response curve immunoassays. Using example data from influenza studies, we show that AutoPlate improves on available analysis software in terms of ease of use, flexibility and speed. AutoPlate (https://philpalmer.shinyapps.io/AutoPlate/) is a tool for the use of laboratories and wider scientific community to accelerate the analysis of biological assays in the development of viral vaccines and therapeutics.
Three-Dimensional Modelling of Ovarian Cancer: From Cell Lines to Organoids for Discovery and Personalized Medicine

Ovarian cancer has the highest mortality of all of the gynecological malignancies. There are several distinct histotypes of this malignancy characterized by specific molecular events and clinical behavior. These histotypes have differing responses to platinum-based drugs that have been the mainstay of therapy for ovarian cancer for decades. For histotypes that initially respond to a chemotherapeutic regime of carboplatin and paclitaxel such as high-grade serous ovarian cancer, the development of chemoresistance is common and underpins incurable disease. Recent discoveries have led to the clinical use of PARP (poly ADP ribose polymerase) inhibitors for ovarian cancers defective in homologous recombination repair, as well as the anti-angiogenic bevacizumab. While predictive molecular testing involving identification of a genomic scar and/or the presence of germline or somatic BRCA1 or BRCA2 mutation are in clinical use to inform the likely success of a PARP inhibitor, no similar tests are available to identify women likely to respond to bevacizumab. Functional tests to predict patient response to any drug are, in fact, essentially absent from clinical care. New drugs are needed to treat ovarian cancer. In this review, we discuss applications to address the currently unmet need of developing physiologically relevant in vitro and ex vivo models of ovarian cancer for fundamental discovery science, and personalized medicine approaches. Traditional two-dimensional (2D) in vitro cell culture of ovarian cancer lacks critical cell-to-cell interactions afforded by culture in three-dimensions. Additionally, modelling interactions with the tumor microenvironment, including the surface of organs in the peritoneal cavity that support metastatic growth of ovarian cancer, will improve the power of these models. Being able to reliably grow primary tumoroid cultures of ovarian cancer will improve the ability to recapitulate tumor heterogeneity. Three-dimensional (3D) modelling systems, from cell lines to organoid or tumoroid cultures, represent enhanced starting points from which improved translational outcomes for women with ovarian cancer will emerge.
Fabrication and Assessment of Diosgenin Encapsulated Stearic Acid Solid Lipid Nanoparticles for Its Anticancer and Antidepressant Effects Using in vitro and in vivo Models

Inflammatory cascade plays a pivotal role in the onset and progression of major depressive disorder (MDD) and glioblastoma multiforme (GBM). Therefore, questing natural compounds with anti-inflammatory activity such as diosgenin can act as a double-edged sword targeting cancer and cancer-induced inflammation simultaneously. The blood–brain barrier limits the therapeutic efficiency of the drugs against intracranial pathologies including depression and brain cancers. Encapsulating a drug molecule in lipid nanoparticles can overcome this obstacle. The current study has thus investigated the anticancer and antidepressant effect of Tween 80 (P80) coated stearic acid solid lipid nanoparticles (SLNPs) encapsulating the diosgenin. Physio-chemical characterizations of SLNPs were performed to assess their stability, monodispersity, and entrapment efficiency. In vitro cytotoxic analysis of naked and drug encapsulated SLNPs on U-87 cell line indicated diosgenin IC50 value to be 194.4 μM, while diosgenin encapsulation in nanoparticles slightly decreases the toxicity. Antidepressant effects of encapsulated and non-encapsulated diosgenin were comprehensively evaluated in the concanavalin-A–induced sickness behavior mouse model. Behavior test results indicate that diosgenin and diosgenin encapsulated nanoparticles significantly alleviated anxiety-like and depressive behavior. Diosgenin incorporated SLNPs also improved grooming behavior and social interaction as well as showed normal levels of neutrophils and leukocytes with no toxicity indication. In conclusion, diosgenin and diosgenin encapsulated solid lipid nanoparticles proved successful in decreasing in vitro cancer cell proliferation and improving sickness behavioral phenotype and thus merit further exploration.
Case Report: Optical Coherence Tomography Usage for Treatment of the Chronically Lost Stent in the Left Main Coronary Artery

Acute adverse outcomes of a stent loss during percutaneous coronary intervention (PCI) are well described, however, data on long-term consequences are scarce, especially with intravascular imaging. We report a case of a coronary stent loss in the left main and ostial left circumflex artery (LCx) bifurcation and its migration into the LCx ostium during PCI procedures. This rare complication, which was not immediately noticed, was verified and successfully resolved 5 months after using optical coherence tomography and right trans-radial access. Considering the infrequency of this complication, few cases have been reported, however, our case has several distinct specificities. We aim to encourage the crushing technique in cases of chronic stent loss when the retrieval is not an option and highlight the optical coherence tomography (OCT) value in imaging and evaluation of similar complex settings.
Accessory Genome Dynamics of Local and Global Staphylococcus pseudintermedius Populations

Staphylococcus pseudintermedius is a major bacterial colonizer and opportunistic pathogen in dogs. Methicillin-resistant S. pseudintermedius (MRSP) continues to emerge as a significant challenge to maintaining canine health. We sought to determine the phylogenetic relationships of S. pseudintermedius across five states in the New England region of the United States and place them in a global context. The New England dataset consisted of 125 previously published S. pseudintermedius genomes supplemented with 45 newly sequenced isolates. The core genome phylogenetic tree revealed many deep branching lineages consisting of 142 multi-locus sequence types (STs). In silico detection of the mecA gene revealed 40 MRSP and 130 methicillin-susceptible S. pseudintermedius (MSSP) isolates. MRSP were derived from five structural types of SCCmec, the mobile genetic element that carries the mecA gene conferring methicillin resistance. Although many genomes were MSSP, they nevertheless harbored genes conferring resistance to many other antibiotic classes, including aminoglycosides, macrolides, tetracyclines and penams. We compared the New England genomes to 297 previously published genomes sampled from five other states in the United States and 13 other countries. Despite the prevalence of the clonally expanding ST71 found worldwide and in other parts of the United States, we did not detect it in New England. We next sought to interrogate the combined New England and global datasets for the presence of coincident gene pairs linked to antibiotic resistance. Analysis revealed a large co-circulating accessory gene cluster, which included mecA as well as eight other resistance genes [aac (6′)-Ie-aph (2″)-Ia, aad (6), aph (3′)-IIIa, sat4, ermB, cat, blaZ, and tetM]. Furthermore, MRSP isolates carried significantly more accessory genes than their MSSP counterparts. Our results provide important insights to the evolution and geographic spread of high-risk clones that can threaten the health of our canine companions.
Neuronal Population Transitions Across a Quiescent-to-Active Frontier and Bifurcation

The mechanistic understanding of why neuronal population activity hovers on criticality remains unresolved despite the availability of experimental results. Without a coherent mathematical framework, the presence of power-law scaling is not straightforward to reconcile with findings implying epileptiform activity. Although multiple pictures have been proposed to relate the power-law scaling of avalanche statistics to phase transitions, the existence of a phase boundary in parameter space is until now an assumption. Herein, a framework based on differential inclusions, which departs from approaches constructed from differential equations, is shown to offer an adequate consolidation of evidences apparently connected to criticality and those linked to hyperexcitability. Through this framework, the phase boundary is elucidated in a parameter space spanned by variables representing levels of excitation and inhibition in a neuronal network. The interpretation of neuronal populations based on this approach offers insights on the role of pharmacological and endocrinal signaling in the homeostatic regulation of neuronal population activity.
Identification of Hub Genes and Biological Pathways in Inclusion Body Myositis Using Bioinformatics Analysis

Background Inclusion body myositis (IBM) is a unique idiopathic inflammatory myopathy with unclear pathogenesis and poor prognosis. Although previous publications have identified some molecular biomarkers, the value of these biomarkers is unknown. Objective To identify hub genes and signaling pathways related to IBM for understanding the IBM-related mechanisms and providing guidance for therapy development. Methods Two microarray datasets (GSE3112 and GSE128470) were downloaded from the Gene Expression Omnibus (GEO) database. GEO2R was used to detect differentially expressed genes (DEGs) between IBM and normal muscle tissues. The hub genes were determined using protein–protein interaction (PPI) network in Cytoscape. The specific signaling pathways and biological functions of IBM were identified using GO, KEGG, and GSEA enrichment analyses. Moreover, CIBERSORT was applied to estimate the expression level of 22 immune cell types in IBM and normal muscle tissue. The relationship between the immune cell types and hub genes was then explored. Results A total of 219 DEGs and 10 hub genes were identified. Enrichment analyses revealed that the chemokine signaling pathway, cellular response to interferon-gamma, and P53 pathway have crucial roles in IBM. Immune infiltration analyses showed that IBM was associated with high level of CD8 T cells, Tregs, and macrophages. Finally, five potential drugs were predicted for IBM patients through CMap (connectivity map) database. Conclusion In this study, the underlying molecular mechanisms and immunological landscape of IBM were investigated, and thus may provide new directions for future research on IBM pathogenesis.
Evaluation method for product color combination image based on color spatial layout

Aiming at the importance of color planning in product development,by considering the influence of color spatial layout on product color combination image,a color combination image evaluation method was established on the basis of color spatial layout.In this method,Color spatial layout was introduced into the evaluation of product color combination image.Color spatial layout,together with hue,value and chroma,was considered as an evaluation attribute,and the utility value of each evaluation attribute was calculated by using Conjoint Analysis in order to obtain users' image preferences on product color combination.Based on this method,an evaluation system of product color combination image was developed.Through the color combination example of engineering machinery,it was proved that this method was valid and the system was feasible.
Robot Communication Via Motion: A Study on Modalities for Robot-to-Human Communication in the Field

In this article, we propose, implement, and evaluate a motion-based communication system for field robots: robots that operate in dynamic, unstructured, outdoor environments. We perform two pilot studies to guide our development of the system, then evaluate it alongside an audio communication system, an LCD display, and a system of blinking LEDs. We compare the usage of these four systems with three different robots from up to five different viewpoints of interaction in a large study administered via Amazon Mechanical Turk. We contribute in two ways to the development of a more robust form of field human-robot interaction, wherein robots can select the most appropriate communication vector for a given situation and context. First, we contribute a motion-based communication system for field robots along with three baseline systems against which to test it. Second, we present results from our development of this motion system, showing that it is easier to learn than a baseline blinking LED system, viable for use underwater, aerial, and terrestrial field robots, and less negatively affected by adverse viewpoints than other communication methods.
Detection of 11 Multidrug Resistance Genes among the Strains of A. Baumannii by Computational Approach

Background: Acinetobacter baumannii is typically short, rod shaped gram negative bacterium. The World Health Organisation has declared it as an opportunistic pathogen in humans. Multi drug resistance involves different genetic determinants making the pathogen difficult to treat. So this study is undertaken to characterize the 11 different drug resistant genes from 19 virulent strains of A. baumannii using in-silico PCR. Aim: Detect the 11 multidrug resistance genes among strains of A. baumannii by computational approach. Materials & Methods: 11 multidrug resistance genes of A. baumannii were selected. Forward and reverse primers of the 11 genes as reported from earlier studies were used for in-silico PCR amplification. 19 strains of A . baumannii set as default strains on the server were chosen and the amplicon bands were observed. Result: Among the 11 multidrug resistance genes only blaOXA-51like and blaADC were detected among the 19 virulent strains of A. bauamannii. Conclusion: The findings of the study documents the frequency of blaADC and blaOXA-51 like from the selected strains of A. baumannii. However further experimental validation must be done towards the periodical surveillance on the drug resistant strains of A. baumannii in hospital settings.
The Effectiveness against Traffic Violations with Electronic Traffic Law Enforcement (ETLE)

This study aims to determine and analyze the effectiveness of law enforcement against traffic violations with Electronic Traffic Law Enforcement (ETLE) and to identify and analyze the obstacles in law enforcement against traffic violations with Electronic Traffic Law Enforcement (ETLE) and find out the solutions. This research is an empirical juridical research by combining legal materials (which are secondary data) with primary data obtained in the field. The results of this study indicate that the effectiveness of Electronic Traffic Law Enforcement (ETLE) is still less effective in its implementation, judging from the data on violations that are still occurring, which are increasing compared to before the implementation of the ETLE system. Public awareness of compliance in driving on the road is still lacking and tends to ignore traffic signs because there are no police officers on the road. The factor for the ineffectiveness of implementing Electronic Traffic Law Enforcement (ETLE) is the lack of camera equipment installed on every road and every traffic light so that there is a lack of valid data to detect traffic violators and also there are still many violators found on the highway, especially motorcycle riders who do not drive in an orderly manner in the absence of police officers on duty on the road.
Application of BP Neural Network in Travel Security Early Warning Information System

This thesis applied the BP neural network technology in the travel security early warning information system.It established a travel security early warning model based on the BP neural network.This model had four subsystems constitutions:Namely the early warning knowledge withdraws the subsystem,the early warning database,the alarm system and the man-machine interaction equipment.And the analysis summarized contained the traveling disaster frequency,to go to travel the facility degree of security and the traveling region degree of security,three big kinds of 10 stature factors reports to the police in the distinction pattern foundation for the content traveling safe early warning influence factor.Traveling safe early warning influence factor and the safe early warning and analyzed the influence factors and differentiate model about travel security early warning.Based on it,this research carried on an experimental design employed in travel security prewarning model.Its result revealed this model application effect to be good.
Axel Sommerfelt in the history of social anthropology

ABSTRACT An unsung alumnus of the Manchester School, Axel Sommerfelt (b. 1926) published little during his career, but has nevertheless had a major impact on contemporary Norwegian anthropology. Following six years as a lecturer in Salisbury, he taught at the University of Oslo from 1966 until his retirement in 1996. This article traces his intellectual itinerary. Beginning with a re-study of Fortes's Tallensi material, Sommerfelt later carried out fieldwork on inter-ethnic relations in south-western Uganda. He distinguished himself from his Norwegian colleagues through an interest in colonial history, nationalism and structural power which tends to be absent from Fredrik Barth's work. Sommerfelt's teaching and mainly unpublished writings reveal him as a supporter of a strong empiricist programme and a skilled Africanist who would have been a worthy contributor to the Manchester School, had he only published his work.
Analysis of Multi-Body Dynamics for an Engine with Multi-Link Mechanism

The simulation and analysis of multi-body dynamics for a new type of multi-link mechanism engine,combined the dynamic simulation program of mechanism system ADAMS with finite element analysis program ANSYS,were carried out by using both flexible bodies method and rigid bodies method respectively,in which the entity body models based upon Pro/E three dimensional program were set up.Compared with the rigid bodies method,the flexible bodies method had more accurate simulation data to show the dynamic action of moving parts and variety of dynamics parameters in actual running process.It has the boundary condition closer to the actual ones,which improves the simulation precision of mechanism system.
Structuring and Operating Patent Intermediary as Platform Ecosystem: Case Studies of Patent Operation Platforms (POPs) in China

Alongside Patent Super Aggregators represented by Intellectual Ventures in the United States, there is a trend to construct patent intermediary in the context of platform ecosystem. Accordingly, patent operation platforms (POPs) have emerged recently in China, yet few studies focus on uncovering their structures and operating mechanisms. This article aims to explore them based on two in-depth case studies with the application of a four-dimensional service innovation framework. Findings pinpoint that POP consists of ‘Patent Plus’ database, patent service platform and two-sided patent platform, as a closed loop. In this structure, ICT plays a prominent role, connected with new service concepts, service delivery system and client interface, to operate the platform. Our article also shows implications to POP related theory and practice.
Robustness analysis and design of digital PID control system

The robust stability of digital PID control system is analyzed, and a necessary condition which is indicated to be independent the sample time for robust stability is given. The limitation of digital PID regulators is pointed out. A method for choosing digital PID parameters through constrained optimization is proposed, which takes into account both performance and robustness. The model uncertainty function is used to design a robust control system which is stable within the prescribed region of variations of transfer function.
The Brain Targeted Drug Delivery System

The brain is a delicate organ, and nature has very efficiently protected it. The drug accessibility to the central nervous system (CNS) is limited by the blood brain barrier (BBB). Various brain disorders are Parkinson, Alzheimer, Meningitis, Brain abscess, Epilepsy, Multiple sclerosis, Late-stage neurological trypanosomiasis (Sleeping sickness) etc. The management of brain related diseases with the present available therapeutic system is very difficult, as insufficient amount of drug reaches to the brain, due to highly lipophilic nature of blood-brain barrier (BBB). Drug delivery to the brain requires advances in drug delivery technologies. Due to the presence of the blood brain barrier only small lipid soluble drug in the circulation are delivered to the brain cells. Therefore, practical strategies are required for mediating the drug transport across blood brain barrier.