Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvement of hydrophilicity of polyamide using atmospheric pressure plasma jet

Atmospheric Pressure Plasma Jet (APPJ) has many applications in material processing such as surface modification and biomedical material processing. APPJ has been generated by a high voltage power supply (0-20 KV) at an operating frequency of (20-30) 23 kHz. This paper reports the generation and characterization of APPJ in Argon environment and its application in the surface modification of polymeric materials. The discharge has been characterized by optical and electrical methods. In order to characterize the plasma jet, its electron temperature and electron density has been determined by optical emissions spectroscopy. The surface properties of the untreated and plasma treated Polyamide (PA) samples were characterized by contact angle measurement and surface energy analysis. BIBECHANA 17 (2020) 133-138
Impact of Leadership Style and Demographic Profile on Accounting Student Performance – The Case of Academic Administrators and Faculty Members in the Philippines

Manuscript type: Research paper Research aims: This study aims to investigate how leadership styles and the demographic profiles of academic administrators and faculty members can influence the university students’ performance in the Board Licensure Examination for Certified Public Accountants (BLECPA). Design/Methodology/Approach: The leadership styles of the academic administrators and faculty members are measured through the Bass model. Data are collected from 94 academic administrators and faculty members attached to 35 top performing colleges/universities in the 2017’s BLECPA. Research findings: The results suggest that the leadership styles and the demographic profiles of the academic administrators affect the students’ performance in the BLECPA. Theoretical contribution/Originality: This study extends on the existing literature by providing empirical evidence which highlight the relationship between academic leadership styles and universities’ performance in the BLECPA. This outcome focusses on universities in and outside of Manila. This study uses a more sophisticated estimation technique to address the limitations of the classical linear regression model (CLRM). Moreover, this study evaluates leadership by incorporating both the administrators and the faculty members’ leadership styles. In that regard, this study differs from existing studies which had focused on a single source of leadership. Practitioner/Policy implications: The findings of this study inform universities on how leadership style and the characteristics of academic administrators, and faculty members may influence universities’ performance. Policies can be formulated based on the findings of this paper, particularly those offering accountancy education for both the Philippines and the ASEAN region. Research limitation: This study does not take into account the differences of the organisational structure and the number of staff and students of the universities. Keywords: Bass Leadership Model, Demographic Profile, Student Performance, Higher Institution Education JEL Classification: M49
Complex contradictions in a contemporary idealised feminine body project

ABSTRACT The purpose of this study is to critically investigate a contemporary version of the idealised female body, the ‘athletic ideal’, characterised by toned abdominal muscles, thin waistlines, well-rounded buttocks and low body fat. In an evolving social media landscape where messages about women’s bodies as simultaneously slim, strong and empowered proliferate, how are the ambiguities of this body project experienced, and where do young women find support? We adopted a qualitative approach, using both diaries and in-depth interviews with 14 participants aged 18–22. The results examine the sense-making strategies used by women to navigate this idealised feminine body and consider the impact of marketplace resources.
Project-Based Learning Model in the Development of Students’ Creativity in Physical Education Learning

This study aims to implement the Project Based Learning model in developing students’ creativity in Physical Education learning. The methodology used in this study is a quasi-experimental design with pre-test post-test only group design. The participants of this research are junior high school students in the city of Bandung. The instrument used in this research is creativity questionnaire that is developed by researchers guided by Guilford which includes aptitude traits and non-aptitude traits. All data generated in this study will be analysed using the paired sample t test analysis technique with the aim to see the effect of the Project Based Learning model in the development of student creativity seen from the comparison of pre-test and post-test scores after the intervention is given. The analysis shows that the Project Based Learning model has an influence on the development of student creativity. This is proved by obtaining the results of the analysis with a magnitude of pvalue of 0.00 (0.00 <0.05).
Model-Based Design, Control, and Planning for Legged Microrobots

Legged animals of different sizes demonstrate impressive locomotion capabilities in unstructured and challenging environments. Consequently, scientists and engineers have sought to understand biological locomotion and replicate its versatility in numerous legged robots. A key aspect of this research is the development of dynamical models that identify principles of biological locomotion and inform the development of increasingly effective legged robots. Indeed, these models will play an important role in the eventual development of robotic platforms capable of reliable locomotion in a variety of environments. Though research in legged-robotics is primarily focused on large (∼100 cm in length) robots, advances in manufacturing have enabled the development of a number of insect-scale (0.1 cm to 10 cm in length) legged microrobots. These smaller robots can be used as at-scale physical models to understand the remarkable locomotion capabilities of insects or to explore the scaling laws of legged locomotion. Moreover, these microrobots enable a new set of applications, including inspecting confined spaces, monitoring the environment, and exploring hazardous areas. Given the nascent stage of the field of legged microrobotics, most of the research is focused on the characterization of experimental performance and the development of suitable manufacturing paradigms. On the other hand, drawing inspiration from the research on larger legged robots, this dissertation focuses on using model-based techniques to both iii
The psychological and mental experiences of living liver donors in South Korea

The aim of this study is to investigate the aspect of the psychological and mental experiences of living liver donors living in Korean culture. This study is qualitative research design that applied ethnographic research method through in-depth face-to-face interviews and participant observation. Data was collected from 10 living liver donors of the snow ball method. The results were delineated into 6 domains, 30 categories, and 35 subcategories by theme and the 6 domains include: ‘positive emotions’, ‘negative emotions’, ‘difficulty in expressing feelings’, ‘mental difficulties’, ‘body image damaged’ and ‘thinking about living organ donations’. An appropriate medical care and continuous and systematic psychological and mental consultation before and after donation for the donors are required and the development and support system for them must be arranged.
Multi-Item Auction Based Mechanism for Mobile Data Offloading: A Robust Optimization Approach

The opportunistic utilization of access devices to offload mobile data from cellular network has been considered as a promising approach to cope with the explosive growth of cellular traffic. To foster this opportunistic utilization, we consider a mobile data offloading market where mobile network operator (MNO) can sell bandwidth made available by the access points (APs) to increase MNO's profit. We formulate the offloading problem as a multi-item auction and study MNO's profit maximization problem. We discuss the conditions to (i) offload the maximum amount of data traffic, (ii) foster the participation of mobile subscribers (MSs) (individual rationality), (iii) prevent market manipulation (incentive compatibility) and (iv) preserve budget feasibility of MSs. Then, we propose a robust optimization based method to implement multi-item auction mechanism. We further propose two iterative algorithms that efficiently solve the offloading problem. The simulation results show the efficiency and robustness of our proposed methods for cellular data offloading.
The complete chloroplast genome of Leptodermis scabrida (Rubiaceae): an endemic shrub in Himalaya-Hengduan Mountains

Abstract Leptodermis scabrida is an important endemic species in Himalaya-Hengduan Mountains. Here, we report the complete chloroplast genome of L. scabrida. The cp genome was determined to be 154783 bp in length and the GC content was 37.5%. The sequence included a large single copy (LSC) region of 84190 bp, a small single copy (SSC) region of 17183 bp and two separated inverted regions of 26705 bp, respectively. It contained 132 genes, including 84 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. This complete genome of L. scabrida will provide valuable information to resolve the complex phylogeny relationship and to elucidate the mechanism of speciation of Leptodermis, as well as for the phylogenetic studies of Rubiaceae.
The Receptor for Advanced Glycation End-Products (RAGE) and its Ligands in Systemic Inflammation following Surgery Necessitating Cardiopulmonary Bypass

Kaneshamoorthy M, Creagh-Brown BC, Burke-Gaffney A. RAGE-mediated cytokine release from leukocytes: implications for systemic inflammation. Thorax 2010;65:A23-A24 doi:10.1136/thx.2010. 150912.47 Zakeri N, Creagh-Brown BC, Hector LR, Hewitt RJ, Quinlan GJ, Pantelidis P. Polymorphisms in genes encoding RAGE or RAGE ligands predispose patients to adverse outcomes following surgery necessitating cardiopulmonary bypass. Thorax 2010;65:A49 doi:10.1136/thx.2010. 150946.7. Creagh-Brown BC, Quinlan G, Evans TW and Burke-Gaffney A. Advanced Glycation EndProducts, Release Of Their Soluble Receptors (es and sRAGE) And Relationship To CRP After Surgery Necessitating Cardiopulmonary Bypass. Am J Respir Crit Care Med 181;2010:A1098 Creagh-Brown BC, Quinlan G, Evans TW and Burke-Gaffney A. The RAGE Ligand S100B Induces IL-8 Release From Whole Blood And Isolated Neutrophils. Am J Respir Crit Care Med 181;2010:A2803 Creagh-Brown BC, Hector L, Lagan A, Burke-Gaffney A, Quinlan G and Evans TW. The Role of sRAGE in the Development of ALI after Surgery Necessitating Cardiopulmonary Bypass. Am J Respir Crit Care Med 179;2009:A356 Creagh-Brown BC, Hector L, Lagan A, Burke-Gaffney A, Quinlan G and Evans TW. RAGE Ligands Are Implicated in the Development of SIRS after Surgery Necessitating Cardiopulmonary Bypass. Am J Respir Crit Care Med 179;2009:A116
Improved design of control segment in BDS‐3

The Chinese BeiDou Navigation Satellite System (BDS) is accelerating its development and has been applied in various fields. Compared with other satellite navigation systems in the world, BDS has many unique features such as multiservices integrated with Radio Determination Satellite Service (RDSS), Radio Navigation Satellite Service (RNSS), and Satellite-Based Augmentation Service (SBAS), a mixed-orbit satellite constellation, and flexible navigation messages, etc. This paper presents the distinctive innovative designs as well as processing strategies in BDS. First, this paper introduces the characteristics of BeiDou navigation messages broadcast by the hybrid constellation of satellites in Geostationary Earth Orbit (GEO), Inclined Geo-Synchronization Orbit (IGSO), and Medium Earth Orbit (MEO). Next, the innovative design and operation of the control segment are discussed. Finally, highlights of the unique usage algorithm of the BDS navigation message information are presented, such as the BDS satellite clock correction and TGD parameters, satellite ephemeris and almanac, and ionospheric delay parameters.
Universidad pública frente a universidad privada: ¿qué efectos tiene sobre el éxito profesional de los universitarios españoles? / A Public University or a Private University: What Effect does this Choice have on the Professional Success of Graduates in Spain

espanolEl crecimiento de la oferta de estudios por parte de las universidades privadas es uno de los fenomenos mas importantes en la educacion universitaria contemporanea. Dado que el coste de los estudios en las universidades privadas suele ser significativamente mayor que en las universidades publicas, es interesante evaluar el retorno de este mayor esfuerzo financiero. En la presente investigacion se evalua para el caso espanol la rentabilidad obtenida de estudiar en una universidad privada frente a una publica, a traves de medidas objetivas del exito profesional. Los resultados indican que la rentabilidad es nula: estudiar en una universidad privada no afecta comparativamente ni a los salarios ni a la clase social ocupacional. Se observa un efecto positivo a corto plazo, si bien poco significativo, en terminos de una mayor probabilidad de encontrar un puesto de trabajo en un espacio corto de tiempo. EnglishThe increasing range of courses at private universities is one of the most important and contrasted trends in contemporary higher education. Given that the cost of training at a private university is higher than that at a public one, it seems interesting to assess the return of such a great financial effort. This research assesses the return obtained from studying at a private university versus a public one in Spain by objectively measuring professional success. The outcomes indicate that the return is null, as the fact of studying at a private university does not comparatively affect either wages or the social occupational class. On the contrary, a short-term positive effect is observed in terms of the increasing likelihood of finding a job in the short-term, irrelevant though.
Nonlinear guidance law algorithm applied to a small unmanned surface vehicle

The unmanned surface vehicles have been used most frequently in recent years in different applications, like environmental research. For this vehicles to accomplish their autonomous missions, a path-following algorithm is necessary to reduce the cross-track error in the presence of environmental disturbance. This article presents a control scheme based on the path-following nonlinear guidance law for a small unmanned surface vehicle called Krick Felix which follows a straight path. A dynamic model of 3 degrees of freedom for this vehicle is presented. The control scheme consists of a cascade control loop that is capable of guaranteeing zero cross-track error in the presence of environmental disturbance without adding an integral action. A nonlinear Lyapunov stability analysis is carried out for this control scheme taking in consideration the dynamics of both the inner loop and the external loop. The simulation was realized by implementing the 3-degree-of-freedom nonlinear model of the Krick Felix. The simulation also took account of the environmental factors, that is, marine currents. An experimental test is carried out with the Krick Felix where the control scheme present satisfactory results.
Finite Blocklength Non-Orthogonal Cooperative Communication Relying on SWIPT-Enabled Energy Harvesting Relays

A finite blocklength (FBL) twin-user non-orthogonal cooperative downlink system is considered, wherein a base station simultaneously communicates with the users whilst relying on simultaneous wireless information and power transfer (SWIPT) enabled energy harvesting relay. Closed-form analytical expressions are obtained for the end-to-end average block error rate (BLER) assuming potentially dissimilar Nakagami- $m$ fading links. Furthermore, asymptotic expressions are derived for the individual user’s end-to-end average BLER performance and diversity order at high signal to noise ratios (SNRs). Additionally, since, the stronger user’s signal is detected, while assuming the weaker user’s signal to be interference, an analytical bound has been obtained for characterizing the effect of this interference on the BLER performance of both users. Furthermore, a framework is developed for joint relay splitting factor and user power allocation towards end-to-end blocklength minimization under strict reliability constraints by converting the original non-convex optimization problem to a convex geometric program (GP) that can be solved efficiently. Simulation results are presented to validate the analytical expressions derived and illustrate the efficacy of the proposed scheme.
Impulsivity Mediates the Link between Childhood Sexual Abuse and Juvenile Incarceration among Low-Income African American Women

ABSTRACT A history of childhood trauma has been found to have a robust influence on juvenile delinquency, and evidence suggests that childhood sexual abuse is particularly common among female youth involved in the juvenile justice system. The current study sought to investigate impulsivity as a potential mediator of the relationship between childhood sexual abuse (CSA) and juvenile incarceration amongst a community sample of low-income, urban, African American adult women. Although impulsivity has been studied among justice-involved youth, few studies have examined the influence of impulsivity within the relationship between CSA and juvenile incarceration and no known studies have explored their relationship in community populations of African American women with histories of juvenile incarceration. Results revealed that impulsivity mediated the relationship between CSA and previous juvenile incarceration. As an exploratory analysis, overall emotion dysregulation as well as other facets of emotion dysregulation did not serve as significant mediators in this relationship. These findings suggest that difficulties in impulse control may be one mechanism through which childhood sexual abuse increases risk for juvenile justice system involvement among African American women.
Single-atom Sn-Zn pairs in CuO catalyst promote dimethyldichlorosilane synthesis

Abstract Single-atom catalysts are of great interest because they can maximize the atom-utilization efficiency and generate unique catalytic properties; however, much attention has been paid to single-site active components, rarely to catalyst promoters. Promoters can significantly affect the activity and selectivity of a catalyst, even at their low concentrations in catalysts. In this work, we designed and synthesized CuO catalysts with atomically dispersed co-promoters of Sn and Zn. When used as the catalyst in the Rochow reaction for the synthesis of dimethyldichlorosilane, this catalyst exhibited much-enhanced activity, selectivity and stability compared with the conventional CuO catalysts with promoters in the form of nanoparticles. Density functional theory calculations demonstrate that single-atomic Sn substitution in the CuO surface can enrich surface Cu vacancies and promote dispersion of Zn to its atomic levels. Sn and Zn single sites as the co-promoters cooperatively generate electronic interaction with the CuO support, which further facilitates the adsorption of the reactant molecules on the surface, thereby leading to the superior catalytic performance.
Realized density estimation using intraday prices

Abstract Availability of high-frequency data, in line with IT developments, enables the use of Availability of high-frequency data, in line with IT developments, enables the use of more information to estimate not only the variance (volatility), but also higher realized moments and the entire realized distribution of returns. Old-fashioned approaches use only closing prices and assume that underlying distribution is time-invariant, which makes traditional forecasting models unreliable. Moreover, time-varying realized moments support findings that returns are not identically distributed across trading days. The objective of the paper is to find an appropriate data-driven distribution of returns using high-frequency data. The kernel estimation method is applied to DAX intraday prices, which balances between the bias and the variance of the realized moments with respect to the bandwidth selection as well as the sampling frequency selection. The main finding is that the kernel bandwidth is strongly related to the sampling frequency at the slow-time-time scale when applying a two-scale estimator, while the fast-time-time scale sampling frequency is held fixed. The realized kernel density estimation enriches the literature by providing the best data-driven proxy of the true but unknown probability density function of returns, which can be used as a benchmark in comparison against ex-ante or implied driven moments.
The reconstruction of preservice elementary teachers’ conception about free fall using cognitive conflict strategy

Misconception about Free Fall have many experienced by preservice elementary teachers. It was caused by their teachers has not understood these concepts and how to teach it. This study aim analyzed a conceptions reconstruction on remedial teaching using Cognitive Conflict Strategies developed about Free Fall concept. The research method used is mixed methods with Intervention Mixed Methods Design. The participants are preservice elementary teachers’ in one of private university in Central Java who take the Second Basic Concept course. The results have shown that Cognitive Conflict Strategy is effective to reconstructing the conception of preservice elementary teachers on Free Fall using remedial teaching. This is indicated by most of them have experienced conceptual change with the revision level in every misconception that occurred in the prior conception. The research recommendations are the lecturer of Basic Science, which have elementary school graduates background generally, should have to collaborate with Physics and Biology lecturer to develop a scientific concept understanding by using learning model that can reconstruct the student conception.
Analysis of Infection in Plant Leaf and Implication of Suitable Pesticides based on Image Processing

: Agriculture plays a vital role in livelihood. Agriculture is the only way to feed ever growing populations. Several researchers are going on energetically in plant disease detection. Plant infection can affect the leaf which leads to huge loss in cultivation of crop and economical value of market. Mainly, in between the stages of sowing and harvesting. Plant infection are caused by various pests like virus, fungus and bacteria which causes infection to plants and results in loss of quantity and amount of production. Also, plant diseases increase due to pollution and other environmental changes. The plants should be supervised from its germinal stage of their life-cycle to evade such diseases. To monitor such type of infection manually is extremely difficult and also time consuming. It is necessary to devise a method to speed up this identification process. This technique is imperative, so it is decided to automate the disease detection system. Hence, image processing is used for the recognition of plant infection. Here, matching and segmentation algorithms are used for identifying the diseases. Classification algorithm is used for classifies the disease. Machine learning techniques are used for improving the diagnosis of plant infection. Identification of pesticides for those affected diseases is also suggested.