Miracle-dz/UniFAR-FTUs huggingface dataset:
Fan-Type AMC Surface for Broadband Low-RCS Applications

─ An artificial magnetic conductor (AMC) surface is proposed in this paper to reduce radar cross section (RCS) by more than 10 dB in a broad frequency band. The proposed AMC structure consists of two different units seven hexagonal circles and Jerusalem cross loaded with four L-type branches, contributing to a wide phase difference (180±37) frequency band. To obtain a low RCS value, the two proposed units are arranged in fan-type for the AMC surface. The simulated results show that the RCS can be reduced by more than 10 dB in a broad frequency band from 12.2 to 27 GHz (75.5%). The proposed AMC structure combined by 20×20-unit cells is fabricated and measured in anechoic chamber. Measured results in the band below 18 GHz of the fabricated prototype agree well with the simulated ones, which validates that the proposed AMC surface may be utilized on low-RCS platforms. Index Terms─ AMC, broadband, RCS reduction.
Research on Countermeasures for Science and Technology Security Problems in National Defense Science and Technology Industry

Enhancing the scientific and technological security level of national defense science and technology industry (NDSTI) is of great significance to the development of the country. This paper proposes corresponding countermeasures for the security of national defense technology industry to achieve the purpose of improving the scientific and technological security level of NDSTI. This paper sorts out the concept and nature of NDSTI. On this basis, it puts forward the concept of science and technology security in NDSTI, analyzes its role, and finds out the challenges facing the current science and technology security of the national defense technology industry. It mainly includes the increasingly complex national defense science and technology environment, the corresponding regulations are not perfect, the human resources management of related talents is imperfect, and the independent innovation capability is weak. The corresponding improvement measures are proposed in this regard; including construction of national defense science and technology environment, improvement of correlative regulations, improvement of the management level of professional talent, promote the deep development of military and civilian
Design of LhARA - Laser Hybrid Accelerator for Radiobiological Applications

Recent developments of using lasers interacting with targets for the creation of ion beams offer a possibility to provide beams for radiobiology research. This research aims to precisely study the radiobiological effectiveness of charged particles on various cultures of cells, which is essential to inform next generation hadron therapy treatment plans. The Laser hybrid Accelerator for Radiobiological Applications (LhARA) has been proposed to use a laser driven beam, which will be captured and focused using Gabor Lenses. The beam will be then energy and momentum selected to create a beam for in-vitro cells studies or sent to a post-accelerator ring to create beam for in-vivo studies. The optical design of LhARA is presented in this paper.
The Effect of Metacognitive Ability on Learning Outcomes of Geography Education Students

The objective of this study was to analyze the effect of metacognitive ability to improve the geography learning outcomes. This research is expo facto with a quantitative approach. Data was collected from 55 students from the geography education department. Data collection methods used in this study was questionnaires and documentation. The results showed that the metacognitive abilities of students had an average value of 44.57 or that metacognitive abilities were an insufficient category. There was a significant influence of metacognitive abilities on student learning outcomes as evidenced by t count = 6.508 > t table = 1.674. The contribution of the influence of metacognitive abilities on biogeography learning outcomes was equal to 0.444 or 44.4%, while the remainder of 66.6% was influenced by other factors.
BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION “BIG DATA” EN PROSPECCIÓN ARQUEOLÓGICA DEL PAISAJE

While traditionally archaeological research has mainly been focused on individual cultural heritage monuments or distinct archaeological sites, the Austrian based Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology goes beyond the limitations of discrete sites in order to understand their archaeological context. This is achieved by investigating the space in-between the sites, studying entire archaeological landscapes from the level of individual postholes to the mapping of numerous square kilometres. This large-scale, high-resolution, multi-method prospection approach leads to enormous digital datasets counting many terabytes of data that until recently were technically not manageable. Novel programs and methods of data management had to be developed for data acquisition, processing and archaeological interpretation, in order to permit the extraction of the desired information from the very big amount of data. The analysis of the generated datasets is conducted with the help of semi-automatic algorithms within complex three-, or even four-dimensional geographical information systems. The outcome of landscape archaeological prospection surveys is visually communicated to the scientific community as well as to the general public and stakeholders. In many cases, a visualization of the scientific result and archaeological interpretations can be a powerful and suitable tool to illustrate and communicate even complex contexts to a wide audience. This paper briefly presents the great potential offered by a combination of large-scale non-invasive archaeological prospection methods and standardized workflows for the integration of big data, its interpretation and visualization. The proposed approach provides a context for buried archaeology across entire archaeological landscapes, changing our understanding of known monuments. We address the overcome and remaining challenges with the help of examples taken from outstanding landscape archaeological prospection case studies.
A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis

Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegenerative disorder with progressive memory impairment moreover cognitive functions, while MCI would be considered as a transitional phase amongst age-related cognitive weakening. Numerous machine learning approaches have been examined, aiming at AD computer-aided diagnosis through employing MR image analysis. Conversely, MR brain image changes could be caused by different effects such as aging and dementia. It is still a challenging difficulty to extract the relevant imaging features and classify the subjects of different groups. This paper would propose an automatic classification technique based on feature decomposition and kernel discriminant analysis (KDA) for classifications of progressive MCI (pMCI) vs. normal control (NC), AD vs. NC, and pMCI vs. stable MCI (sMCI). Feature decomposition would be based on dictionary learning, which is used for separation of class-specific components from the non-class-specific components in the features, while KDA would be applied for mapping original nonlinearly separable feature space to the separable features that are linear. The proposed technique would be evaluated by employing T1-weighted MR brain images from 830 subjects comprising 198 AD patients, 167 pMCI, 236 sMCI, and 229 NC from the Alzheimer's disease neuroimaging initiative (ADNI) dataset. Experimental results demonstrate that classification accuracy (ACC) of 90.41%, 84.29%, and 65.94% can be achieved for classification of AD vs. NC, pMCI vs. NC, and pMCI vs. sMCI, respectively, indicating the promising performance of the proposed method.
The impact of ethical leadership on employee engagement within a South African public higher education institution

Ethical leadership has become a fundamental building block amongst the corporate organizations globally. However, minimal research evidence was found from a higher education institution (HEI) perspective, including the evidence from a South African higher education setting. Due to the lack of research linking the ethical leadership`s style and employee`s engagement (EE) at higher education institutions, it becomes important to find out if ethical leadership can positively promote the EE, which, in turn, can promote various other benefits at the institutions. Therefore, this study aims to examine this from the perspective of ethical leadership style and its impact on the EE. This study focused on a large HEI (Higher Education institution) based in KwaZulu-Natal (South Africa). Quantitative data collection employed the probability sampling targeting 420 employees. Questionnaires were used as data collection tools and obtained a response rate of 312 (74%). The results show that the average mean value for EE (M = 2.87) was weak in comparison to the measurement standard of 3.00, which implied a lack of EE between leadership and employees. In addition, the results indicate that ethical leadership can positively influence the EE (M = 4.27), thus, indicating the need for more ethical leadership at this institution. Furthermore, the current lack of employee`s engagement by leaders that do not exhibit the ethical leadership style can result in employees` disengagement at the institution.
Personalized Documents Ranking With Social Contextualization

We present in this paper a contribution to IR modeling by proposing a new ranking function for documents while considering the social dimension of the Web. This social dimension is any social information that surrounds documents along with the social context of users. Currently, our approach relies on folksonomies for extracting these social contexts, but it can be extended to use any social meta-data, e.g. comments, ratings, tweets, etc. The evaluation performed on our approach shows its benefits for personalized search with respect to the closest state of the art methods.
Predicting Relapse and Outcome in First Episode Psychosis: Impact of Negative Symptoms, and Personalized Low Dose versus Maintenance Antipsychotic Treatment

Relapse of psychosis indicates worse functional outcome. The aim of most current treatment strategies is relapse-prevention, though neither predictors of relapse nor causation of functional decline has been established. If relapse were a consequence of a decline-related confounder, preventing relapse might only partly impact upon decline. We hypothesized baseline negative symptoms to predict both functional deficits and relapse risk. We examined: 1) what predicted relapse, 2) what predicted functional outcome and 3) if baseline negative symptoms (BNS) predicted relapse, whether medication strategies would make a difference reducing relapse rates. Post-hoc analysis of 7-year follow-up data of a first episode psychosis (FEP) cohort involved in a dosereduction/discontinuation (DR) vs maintenance treatment (MT) trial (ISRCTN16228411). Patients (n=128) participating in the original trial, recruited from 257 FEP patients referred from October 2001 to December 2002 to 7 mental health care services in a 3.2 million population catchment area. After 7 years, 103 patients consented to follow-up assessment. In the original trial, patients were randomly
Improving quality of livestock products to meet market and community demands

Brazil is a country of continental size, and more than seven million ha are occupied with tropical pasture. Worldwide animal production from tropical pastures is also very significant where Cynodon, Panicum and Paspalum are important genus. These grasses are widely used in the production of cattle, and are growing in importance for sheep production, but their potential for producing quality lamb is not fully known. The objective of this study was to evaluate the potential of two tropical grasses for finishing lambs in autumn to reduce the seasonality of production of lamb for meat.
Effect of Parenting Style on Severity of Attention-Deficit/Hyperactivity Disorder among Children Attending Al-Azhar University Hospital, New Damietta

Background: Having an attention deficit hyperactivity disorder (ADHD) child has a disruptive effect on parenting style. As it demands more efforts to be managed and control their behaviors. Insufficient parenting style in childhood can affect the progress of the disorder, worse its signs and symptoms, and increases the risk of development of other behavioral problems, as an oppositional defiant disorder. Aim of the work: We were aiming in this study to assess the relationship between the severity of ADHD and parenting style. Patients and methods: This cross-sectional study was conducted on 100 children who had been attending the psychiatry outpatient clinic from January to June 2019. ADHD was diagnosed with an interview. The ADHD severity and parenting style were assessed by Conner’s Parent Rating Scale (CPRS-R-L) and parenting style scale, respectively. Results: The mean age of the enrolled children was 7.91 ± 2.39 years, and 72% were males. The severity of ADHD was 9% mild, 36% moderate, 32% severe, and 23% very severe. There was a statistically significant relation between “negative” or authoritarian parenting style and severity of ADHD (p <0.001). Conclusion: The results of this study demonstrated that ADHD was more common among males with statistically significant relation with parenting style, and a “positive” parenting style may help in decrease the severity of ADHD symptoms.
A NEW APPROACH IN ORGANIZATIONAL PSYCHOLOGY: SELF-EXPECTATION FOR ORGANIZATIONAL IMPROVEMENT AND A SCALE DEVELOPMENT STUDY

ABSTRACT The aim of this research is to bring the concept of Self-Expectation for Organizational Improvement” (SEOI) to the field of organizational psychology and to develop a measurement tool by forming the theoreticalempirical background of this concept. In the study, firstly, the theoretical framework related to the concept of SEOI was established and the concept of SEOI defined as follows; independent of the planned actions of the organization management, self-expectations that the individual has designed completely in his/her own mind and that there will be positive improvements and developments within himself/herself, with the individuals around him/her, and in the organization. Subsequently, a pool of items was created in accordance with the theoretical framework, a draft scale was obtained and a pilot study was conducted with 87 employees to determine the validity and reliability of this draft scale. In the analysis, a two-factor structure was obtained from the draft scale and it was found that this structure met the reliability and validity criteria. This factor structure was then tested on the main sample of 274 employees. All findings of the statistical analyses on the data obtained from the pilot study and the main sample showed that the developed scale had scientific validity and reliability and the scale was sufficient to be used in scientific researches.
Comparative Analysis of Seasonal Landsat 8 Images for Forest Aboveground Biomass Estimation in a Subtropical Forest

To effectively further research the regional carbon sink, it is important to estimate forest aboveground biomass (AGB). Based on optical images, the AGB can be estimated and mapped on a regional scale. The Landsat 8 Operational Land Imager (OLI) has, therefore, been widely used for regional scale AGB estimation; however, most studies have been based solely on peak season images without performance comparison of other seasons; this may ultimately affect the accuracy of AGB estimation. To explore the effects of utilizing various seasonal images for AGB estimation, we analyzed seasonal images collected using Landsat 8 OLI for a subtropical forest in northern Hunan, China. We then performed stepwise regression to estimate AGB of different forest types (coniferous forest, broadleaf forest, mixed forest and total vegetation). The model performances using seasonal images of different forest types were then compared. The results showed that textural information played an important role in AGB estimation of each forest type. Stratification based on forest types resulted in better AGB estimation model performances than those of total vegetation. The most accurate AGB estimations were achieved using the autumn (October) image, and the least accurate AGB estimations were achieved using the peak season (August) image. In addition, the uncertainties associated with the peak season image were largest in terms of AGB values < 25 Mg/ha and >75 Mg/ha, and the quality of the AGB map depicting the peak season was poorer than the maps depicting other seasons. This study suggests that the acquisition time of forest images can affect AGB estimations in subtropical forest. Therefore, future research should consider and incorporate seasonal time-series images to improve AGB estimation.
Development of merger target run-ups in the UK: What has the effect of insider trading regulation changes been?

It is widely established in the academic literature that the stock prices of merger targets incur abnormal returns before a deal is publicly announced, a phenomenon called a ‘run-up’. In this thesis, I analyze the development and sources of merger target run-ups in the UK public target companies from 1989 to 2018, considering especially the effect of changes in insider trading regulation. In my sample, run-ups have decreased on average by 0.10 percentage points per year, with the median run-up being 4.14%. Full deal period returns have decreased at a similar rate, which supports the hypothesis that the run-up is an added cost to the bidder. My results show that the decline in run-ups can be explained by both market anticipation factors and changes in insider trading regulation. Moreover, changes in the level of deal mark-ups are not driving the decline. Of the six insider trading regulation events analyzed in this paper, Financial Services Act 2012 has had the most significant decreasing effect. It coincides with increased insider trading criminal indictment and conviction activity by the UK regulator, which may explain the strong effect, as the regulation change itself was not radical. Surprisingly, other major insider trading regulation changes are not significant. Studying the relation of insider trading regulation enforcement intensity and the run-ups would be a logical next step in the insider trading research in the UK.
Simple Application of Time Correlated Single Photon Counter of Picosecond Pulsed Laser to Measure Refractive Index of Saline Solution

Time correlated single photon counter was design for measuring fluorescence lifetime of emitting materials. It was designed for photonics basic research and science that is usually done in a laboratory. Furthermore, time correlated single photon counter can be used to measure simple and more practical optical properties of materials, such as refractive index. However, since the system was not designed for this practical application, a simple setup modification and calculation is required. In this work, time correlated single photon counter is utilized to measure the refractive index of sodium chloride solutions. The measurement was done using simple time of flight calculation of each pulse of picosecond pulsed laser. Our measurement was done on different concentrations of sodium chloride that have different refractive indices. It was found that the measurement technique and calculation was able to produce consistent quantitative calculation of refractive indices.
The African Charter on Democracy, Elections and Governance: Trends, Challenges and Perspectives

This introduction to the Special Focus argues that more thorough and nuanced understandings of the past accomplishments and failures of the African Charter on Democracy, Elections and Governance (ACDEG) are needed. The article contends that detailed accounts focusing on the practices of diverse actors and institutions within the ACDEG’s multi-level governance framework and their – sometimes – frictional relations are necessary to develop appropriate future policy governing continental encounters with democratic governance. The paper introduces the different articles of the Special Focus which all address the fundamental question of how the implementation and impact of the ACDEG influence the African democratic governance landscape. Based on their analysis of key norms, actors, and processes, the inquiries in this Special Focus set out distinct directions for further empirical research and theorising about the ACDEG.
Does CSR encourage customer loyalty: A case study – Libyan telecom sector?

The study aims to the determination of the degree of customer awareness in relation to activities for customer social responsibility that should be undertaken by a company that is socially responsible, as well as to establish the influence that CSR has upon the loyalty of customers in the Libyan telecom sector. Given that, there is a great variety of developed countries that have well-developed telecom sectors which are closely monitored; however, the literature in developing countries that address the impact of CSR on customer loyalty is very limited. Therefore, the examination of the sector customers is of worth so that the meeting of needs for Libyan telecom sector customers can be assured. The survey was completed by 154 participants in total, and there was a recording of the web survey and analysis of the findings. Variables utilised for measurement of the influence of CSR upon the loyalty of customers were taken from the framework of theory with the inclusion of an economic CSR component, the legal CSR component, the philanthropic and ethical components of CSR and the loyalty of customers. The web-survey findings showed that customers had a great awareness of the activities of CSR that ought to be engaged in by responsible companies. In addition, the results showed that CSR did have an impact upon loyalty within the Libyan telecom sector and that customers had a willingness to buy from the firm because of the engagement of them in CSR activities.