Miracle-dz/UniFAR-FTUs huggingface dataset:
Chinese license plate image database building methodology for license plate recognition

Abstract. License plate image database is the most significant factor that supports the development of license plate recognition. We first present a general method for building a license plate image database and establish a Chinese license plate image database. There are 29,015 images included in the database, named SYSU. The main work includes: first, based on a quantitative analysis of the attributes of license plate images that affect license plate recognition, relational license plate image database models are established, which consist of function and performance dataset models; second, based on the function dataset models, we present a semiautomatic method that can extract the values of the attributes in the road monitoring image and establish the function datasets, which include type and provincial abbreviation variation images. To open the function datasets, we also propose a preservative deidentification method to balance privacy protection and attribute preservation. Third, based on the performance dataset models, we establish the performance datasets, which are digital processing images from the function image datasets, including resolution, average luminance, nonuniformity of luminance, horizontal rotation angle, vertical shear angle, horizontal parallel perspective angle, vertical parallel perspective angle, out-of-focus blur, and linear uniform motion blur variation images. The recognition performance of five commercial softwares on the SYSU license plate database indicates that the database is a valuable test-bed for the evaluation and analysis of license plate recognition technology.
The architecture social media and online newspaper credibility measurement for fake news detection

Social media is one of the communication media favored by people in the world, especially in Indonesia. This is evidenced by the results of the APJII survey which shows that the majority of Indonesians use social media in their daily activities. One of the advantages of social media is the dissemination of information faster than conventional media so that the quality of information disseminated is lower than conventional media due to the process of disseminating information not through the filter process. By measuring the level of credibility of the online newspaper based on the time credibility, website credibility, and message credibility factors and measuring the level of credibility on social media based on the time credibility, Social Media Credibility, and Message Credibility factors with different levels of weight, it will produce a news likelihood level it's fake news or facts.
Gap-based Caching for ICN-based Vehicular Networks

Information-centric networking (ICN) has been introduced into vehicular networks recently on account of its convenience for information distribution. Caching plays an essential role in information-centric networks. However, the current caching techniques for ICN cannot be used in ICN-based vehicular networks. This paper presents a gap-based caching approach that can be used in ICN-based vehicular networks. The proposed approach takes into account both the characteristics of vehicular networks and the information to be distributed. By introducing the “gap” metric and distinguishing the types of information, cooperative caching among nodes can be realized without exchanging caching management information among them. Simulation results show that the proposed approach can increase the storage space utilization and has low data response time in vehicular networks.
Using R with different types of databases: An overview

R is a working environment and computer language used in statistical computing. It is widely used as a tool in knowledge discovery and big data analytics as it provides an environment in which different statistical methods can be applied efficiently. As the size of analyzed data grows different data sources may be added to enrich statistical models and improve analysis quality. However, with R there is no need to store those datasets into the database. At the same time, R as environment support different data structures that make design and development of the information systems even more complex. R data structures could be divided into two main categories, homogeneous data such as atomic vector, matrix or array, and heterogeneous such as list and data frame. Additionally, we are witnesses to new trends in database design such as NoSQL, New SQL, graph database, in memory data storage, columnar and different application of SQL. Aim of this paper is to give an overview of different databases types in the context of R, covering concepts from navigational databases, to rational and post relational databases and how they are suited to host data for the purpose of access, storage and manipulation by statistical procedures in R.
MicroRNA-374a Governs Aggressive Cell Behaviors of Glioma by Targeting Prokineticin 2

MicroRNA-374a has been abnormally expressed in several cancer types; however, its role in glioma remains unclear. Therefore, we aimed to investigate whether microR-374a participated in the progression of glioma. Expression of microR-374a in glioma cell lines and normal cell line was measured by quantitative real-time polymerase chain reaction. Luciferase reporter assay and Western blot were used to detect the targets of microR-374a. In vitro functional experiments were conducted to investigate the biological role of microR-374a. Low expression of microR-374a was found in glioma cell lines. Prokineticin 2 was identified as a direct target of microR-374a in glioma. Investigations on the mechanisms related to glioma progression showed that microR-374a inhibited glioma cell proliferation, cell cycle progression, and cell invasion through targeting Prokineticin 2. Taken together, these results revealed that microR-374a functions as tumor suppressor by targeting Prokineticin 2, suggesting it might be a novel therapeutic target for glioma.
Impact of Technological Innovation Management on Health Care Service Delivery: A Systematic Review

This work was funded by the National Nature Science Foundation of China (71774069). Abstract The objective of this study is to provide a comprehensive, systematic review on the progress of research on technological innovation management literature in healthcare delivery and its impact, whereby we seek to highlight the knowledge gaps, and provide researchers and scholars’ approaches for future research. We statistically reviewed and analyzed 289 articles relevant to our research objectives using publications in journals, articles, conferences and those available in press from 1990 to 2018. Based on which we critically synthesized 36 articles for content analysis (conceptual, and empirical studies) and created a framework for technological innovation management research. Content analysis showed some appreciable contributions of conceptual, empirical, evidential and review articles in the field. We observed that though there has been some research into the area of innovation, open innovation and the application of technological innovation in the area of health care delivery, little study has been done in assessing the impact management of such technological innovation on the delivery of public health care services to citizens; thus the use of our proposed framework will provide guidance for researchers and scholars seeking to advance discussions and studies in this area. Keywords: Technological innovation management, technological innovation, process innovation, open innovation, public health, research and development (R & D).
Design of the Twelve-bands MIMO Antenna for the Metal Cover Mobile Phone

A broadband MIMO antenna, using the metal cover which is one of the antenna radiators, is designed and implemented on the PCB. The antenna consists of a monopole and an IFA that is fed by the coupling structure and a metal cover radiator. Therefore, a monopole and an IFA with a metal cover radiator operate simultaneously through a hybrid form of operation. The proposed antenna satisfies VSWR 3:1(S-parameter -6dB) at the bands of LTE class 12 ~ 14, class 17, CDMA, GSM900, DCS, KPCS, USPCS, WCDMA, LTE class 40 and WiFi. The maximum ECC is 0.186 over the desire bands. The average gain and efficiency were measured from -5.14~-1.28dBi and 30.87~74.48%, respectively.
Natural History of Human Papillomavirus Infections and Other Sexually Transmitted Infections in Rwanda-Immunological Aspects of the Uterine Cervix

Objective: Cervical cancer stands for the predominant cause of cancer death among Rwandan women. Chronic Human Papillomavirus (HPV) infection constitutes the main risk factor. We here assessed the prevalence and incidence of high-risk (HR)and low-risk (LR)HPVs, low-grade and high-grade squamous intraepithelial lesions (LSIL and HSIL) and cancer and associated risk factors in 400 HIVand HIV+ Rwandan women. Whether HPV testing could serve as a screening method for detecting HSIL was analyzed. We also assessed prevalence and curing rates of different sexually transmitted infections (STIs) and sexual behaviour. Advanced cervical cancer is often treated with radiotherapy. In an animal model for radiation cervicitis we wanted to assess how the normal uterine cervix responds to ionization radiation and whether hyperbaric oxygen therapy (HBOT) may reverse these responses. Methods: Women were interviewed, screened for STIs (baseline and 9 months) and underwent cervical sampling for cytology and a test for 37 HPV strains. Cytological samples were taken again 9, 18 and 24 months later in 100 HIVand 137 HIV+ women. We explored whether the single nucleotide polymorphism (SNP) rs1297860 in IL28B correlates with susceptibility to HPV infection and persistence as well as development of SILs. In the preclinical studies, rats underwent cervical irradiation and were either exposed to HBOT or no intervention. Immunological and oxidative responses induced by radiation were assessed and whether HBOT was able to reverse these responses. Results: HPV16 and HPV52 were the most common HPV strains. The sensitivity was 78% and the specificity 87% to detect HSIL with HPV screening. Chronic and incident HR-HPV infections occurred more frequently in HIV+ women than in HIVwomen. HSIL or cancer was diagnosed in 38% of HIV+ women with persistent HR-HPV infections. The C/T and T/T genotypes of the IL28B SNP rs12979860 were more common in the group of women contracting HPV compared with women not contracting HPV. STIs were common in Rwandan women and the use of condoms was not affected by present STIs. TLR5, TRIF, NF-κB, oxidative stress (8OHdG) and antioxidant enzymes (SOD-1 and catalase) were up regulated, while cytokines were down-regulated 14 days after cervical irradiation. Changes in 8-OHdG and catalase were normalized after HBOT. Conclusions: HPVs and STIs are common among Rwandan women. HPV screening may be of particular importance if provided for risk patients such as HIV+ women that develop more often persistent HPV infections and HSIL. Ionizing radiation induces oxidative stress and immune responses in the cervix that may be reversed by HBOT.
Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework

A reinforcement learning algorithm associates postural synergies to geometric object features for stable grasps of unknown objects. In this work, the problem of grasping novel objects with an anthropomorphic hand-arm robotic system is considered. In particular, an algorithm for learning stable grasps of unknown objects has been developed based on an object shape classification and on the extraction of some associated geometric features. Different concepts, coming from fields such as machine learning, computer vision, and robot control, have been integrated together in a modular framework to achieve a flexible solution suitable for different applications. The results presented in this work confirm that the combination of learning from demonstration and reinforcement learning can be an interesting solution for complex tasks, such as grasping with anthropomorphic hands. The imitation learning provides the robot with a good base to start the learning process that improves its abilities through trial and error. The learning process occurs in a reduced dimension subspace learned upstream from human observation during typical grasping tasks. Furthermore, the integration of a synergy-based control module allows reducing the number of trials owing to the synergistic approach.
An analysis of natural disaster‐related information‐seeking behavior using temporal stages

Since natural disasters can affect many people over a vast area, studying information‐seeking behavior (ISB) during disasters is of great importance. Many previous studies have relied on online social network data, providing insights into the ISB of those with Internet access. However, in a large‐scale natural disaster such as the Great East Japan Earthquake of 2011, people in the most severely affected areas tended to have limited Internet access. Therefore, an alternative data source should be explored to investigate disaster‐related ISB. This study's contributions are twofold. First, we provide a detailed description of natural disaster‐related ISB of people who experienced a large‐scale earthquake and tsunami, based on analysis of written testimonies published by local authorities. This provided insight into the relationship between information needs, channels, and sources of disaster‐related ISB. Also, our approach facilitates the study of ISB of people without Internet access both during and after a disaster. Second, we provide empirical evidence to demonstrate that the temporal stages of a disaster can characterize people's ISB during the disaster. Therefore, we propose further consideration of the temporal aspects of events for improved understanding of disaster‐related ISB.
Unsolved Mysteries: from Reductionism to Holistic Approaches in Medicine: Lessons from Immunculus

Human organism as an essentially complex multi-level biological system operates as a holistic unit. All parts of a living organism are totally integrated and most properties of complex systems, as any other complex system, fundamentally are not derived from distinct properties of separate system components. Therefore it is a widely accepted that dynamically changing behavior of biological system cannot be predicted correctly on the basis of the study of its isolated components. Therefore, to grasp the physiological processes of complex living system the reductionist approach is basically inadequate. In this article, we take a look at cancer and autism as examples of chronic disease that require a system approach for study and early diagnose, and describe immunculus technology, instead of the reductionist approach, which can be challenging for early detection of chronic disease.
Genetic analyses, protein expression, type and function with clinical and immunological correlates in human papillomavirus associated head and neck neoplasia

Main supervisor: Dr. Jane Sterling PhD FRCP Internal examiner: Dr. Lucy Truman PhD FRCS External examiner: Prof. Chris Nutting BSc (Hons) MD PhD FRCP FRCR MedFIPEm Assessor to Regius Professor of Physic: Dr. Chris Allen MA MD FRCP
Induced Semantics for Undirected Graphs: Another Look at the Hammersley‐Clifford Theorem

The Hammersley‐Clifford (H‐C) theorem relates the factorization properties of a probability distribution to the clique structure of an undirected graph. If a density factorizes according to the clique structure of an undirected graph, the theorem guarantees that the distribution satisfies the Markov property and vice versa. We show how to generalize the H‐C theorem to different notions of decomposability and the corresponding generalized‐Markov property. Finally we discuss how our technique might be used to arrive at other generalizations of the H‐C theorem, inducing a graph semantics adapted to the modeling problem.
Analysis of subjective experiences of breast cancer patients receiving hypnosis, music, or special attention, during chemotherapy treatment: A content analysis

The effectiveness of psychotherapeutic techniques with breast cancer patients has been extensively studied; however, there is limited information available on subjective experiences of patients. The aim of this study was to establish a category system and describe the characteristics of patients’ subjective experiences in three different intervention groups: hypnosis, music, and special attention. Content analysis of short interviews after 21 sessions of intervention was conducted to examine and compare subjective experiences in hypnosis, music, and special attention. Two types of coding system were developed: Characteristics of Involvement (CI) and Intensity of Involvement (II). Based on CI, the most dominant subjective experience of breast cancer patients was the “Pleasant Somatic Experience. ” Furthermore, “Visualisation of Symbols” was the most frequent in the hypnosis intervention. Based on II, most common experience of the special attention group was coded as “low intensity. ” The frequencies of “low/high intensity” experiences were different between hypnosis and music interventions. “High intensity” was more dominant in hypnosis than music intervention. Both category systems may be reliable tools to examine patients’ subjective experience. Hypnosis as intervention can result in more extended subjective experiences in CI and II.
Star-forming regions in the intragroup medium of compact groups of galaxies

Abstract We present the results of a multiwavelength campaign searching for young objects in the intragroup medium of seven compact groups of galaxies: HCG 2, 7, 22, 23, 92, 100 and NGC 92. We used Fabry-Perot velocity fields and rotation curves together with GALEX NUV and FUV images, optical R-band and HI maps to evaluate the stage of interaction of each group. We conclude that groups (i) HCG 7 and HCG 23 are in an early stage of interaction, (ii) HCG 2 and HCG 22 are mildly interacting, and (iii) HCG 92, HCG 100 and NGC 92 are in a late stage of evolution. Evolved groups have a population of young objects in their intragroup medium while no such population is found within the less evolved groups. We also report the discovery of a tidal dwarf galaxy candidate in the tail of NGC 92. These three groups, besides containing galaxies which have peculiar velocity fields, also show extended HI tails. Our results indicate that the advanced stage of evolution of a group together with the presence of intragroup HI clouds may lead to star formation in the intragroup medium.
Non-Uniform Quantization Codebook-Based Hybrid Precoding to Reduce Feedback Overhead in Millimeter Wave MIMO Systems

In this paper, we propose two non-uniform quantization (NUQ) codebook-based hybrid precoding schemes for two main hybrid precoding implementations, i.e., the full-connected structure and the sub-connected structure, to reduce the feedback overhead in millimeter wave single user multiple-input multiple-output systems. Specifically, we firstly group the angles of the arrive/departures (AOAs/AODs) of the scattering paths into several spatial lobes by exploiting the sparseness property of the millimeter wave in the angular domain, which divides the total angular domain into effective spatial lobes’ coverage angles and ineffective coverage angles. Then, we map the quantization bits non-uniformly to different coverage angles and construct NUQ codebooks, where high numbers of quantization bits are employed for the effective coverage angles to quantize AoAs/AoDs and zero quantization bit is employed for ineffective coverage angles. Finally, two low-complexity hybrid analog/digital precoding schemes are proposed, which utilize the NUQ codebooks. Simulation results demonstrate that the proposed two NUQ codebook-based hybrid precoding schemes achieve near-optimal spectral efficiencies and show the superiority in reducing the feedback overhead compared with the uniform quantization codebook-based works.
Attribution style of adolescents with school-reported social, emotional and behavioural difficulties

The aim of the study was to investigate the relationships between attribution style and social, emotional and behavioural difficulties (SEBDs), and to explore differences in attribution tendencies between adolescents with and without SEBDs. In total, 72 adolescents attending a school in London were recruited; 27 were receiving support for SEBDs from the behaviour and education support team at their school and 45 were recruited from the main school population. Participants completed the Children’s Attribution Style Questionnaire and the Strengths and Difficulties Questionnaire. A multivariate analysis of variance revealed that adolescents with SEBDs had a more negative attribution style, made more stable attributions of negative events and reported fewer internal attributions of positive events than students without SEBDs. The findings highlight the importance of cognitive factors in providing a basis for interventions intending to address young people’s behaviour and cater for the heterogeneous nature of SEBDs.
Calculating Scattering At Circular-Waveguide Junctions

Computer program calculates scattering matrices for circular waveguides including step discontinuities between collinear sections of different radii. Radius and length of each section specified arbitrarily. Examples of devices analyzed with program include waveguides with single step discontinuities, matching sections, corrugated straight sections, and corrugated horns. Sections with smooth tapers and horns with arbitrary profiles approximated by series of small steps.
In vitro Physicochemical, Phytochemical, Antimicrobial and Antidiabetic studies on Mucuna pruriens (Linn.) DC seeds

Diabetes is one of the most common endocrine diseases characterized by hyperglycemia due to absolute or relative deficiency of insulin which is currently affecting the citizens of both developed and developing countries. According to Williams textbook of endocrinology in 2013 it was estimated that over 382 million people throughout the world had diabetes. Plants have long been used for the treatment of diabetes, particularly in developing countries where most people have limited resources and do not have access to modern treatment. The presented study is aimed to evaluate the Mucuna pruriens seed extracts for its in vitro physiochemical, phytochemical, antioxidant and anti-diabetic studies. From the studies different solvent extracts of hexane and chloroform showed little or no activity on all assays performed whereas methanol extract of Mucuna pruriens showed significant bio properties. The preliminary studies of this plant crude methanol extract exhibited maximum compounds, hence the methanol extracts have under taken for its alpha amylase and alpha glucosidase inhibition activity. On the basis of the results obtained in the present investigation, it can be concluded that methanol extract of Mucuna pruriens had significant bioactive properties and may provide a support to use of the plant in traditional medicine for the management of diabetes.
The Impact of Neutral Intergalactic Gas on Lyα Intensity Mapping during Reionization

We present the first simulations of the high-redshift Lyα intensity field that account for scattering in the intergalactic medium (IGM). Using a 3D Monte Carlo radiative transfer code, we find that Lyα scattering smooths spatial fluctuations in the Lyα intensity on small scales, and that the spatial dependence of this smoothing depends on the mean neutral fraction of the IGM. Our simulations find a strong effect of reionization on k = 0.1–1 Mpc−1, with for and for , in contrast to after reionization. At wavenumbers of k > 1 Mpc−1, we find that the signal is sensitive to the emergent Lyα line profiles from galaxies. We also demonstrate that the cross-correlation between a Lyα intensity map and a future galaxy redshift survey could be detected on large scales by an instrument similar to SPHEREx, and over a wide range of scales by a hypothetical intensity mapping instrument in the vein of the Cosmic Dawn Intensity Mapper (CDIM).