Miracle-dz/UniFAR-FTUs huggingface dataset:
Anxiety and depressive symptoms and coping strategies in nasopharyngeal carcinoma patients in Hospital Kuala Lumpur

Introduction: Nasopharyngeal Carcinoma (NPC) is the second most common cancer among men in Malaysia. Establishing local data will help to improve the treatment strategies and lower the anxiety and depression level among NPC patients. Our aim was to compare the level of symptoms of anxiety and depression and the coping strategies employed between NPC and cancer-free patients. Methods: A comparative cross-sectional study with universal sampling was conducted on 22 NPC patients and 30 cancer-free patients from the Oncology and Radiotherapy Department and Ear, Nose and Throat clinic of Hospital Kuala Lumpur (HKL) between 12 to 29 May 2008. In this study, the symptoms of depression and anxiety were obtained by using the Hospital Anxiety and Depression Scale (HADS) while Brief COPE questionnaire was used to understand patients’ coping strategies. Results: The prevalence of NPC was higher in the Chinese, men, aged between 40 and 59 years, and those from the lower income group. The levels of anxiety and depression symptoms were found to be higher in the NPC group as compared to the cancer-free group. However, only the level of depression was found significantly related to the NPC group (p=0.002). This study also found that the two comparison groups were using different types of coping strategies. The NPC patients mainly used ‘acceptance’ as their coping strategy while the comparative group most often used ‘religion’. Among the types of coping strategies reported by the patients, ‘use of instrumental support’ type was found to be associated with a lower level of anxiety (p = 0.035) and ‘humour’ type was associated with lower depressive symptoms (p = 0.269). On the contrary, ‘selfblame’ type was associated with both anxiety (p =0.0001) and depression (p = 0.001) symptoms. In addition, patients with different gender, ethnicity, educational levels, and monthly income were also found to have significant differences in their levels of anxiety and depression as well as type of coping strategies. Conclusions: NPC patients had higher anxiety and depression levels as compared to the comparative group. Different socio-demographic backgrounds and different types of coping strategies had an influence on patients resulting in different levels of anxiety and depression.
Continuous finite-time anti-disturbance control for a class of uncertain nonlinear systems

The continuous finite-time anti-disturbance control problem for a class of nonlinear system under external disturbances and parameter uncertainties is investigated in this article. First, a continuous terminal sliding mode control (CTSMC) is introduced to stabilize the nominal system dynamics. Concerning the unsatisfying performance of the CTSMC in the presence of severe external disturbances and parameter uncertainties, a finite-time disturbance observer (FTDO) is employed to estimate the uncertainties to its nominal dynamics. By integrating the CTSMC method with the FTDO technique, a composite controller is presented for such kind of nonlinear system under external disturbances and parameter uncertainties. The composite controller obtains finite-time convergence property in the presence of disturbances and also nominal control performance recovery in the absence of disturbances. Moreover, compared with conventional sliding mode control, the proposed control law is continuous and no chattering phenomenon exists. The property of stability and the finite-time convergence of the closed-loop system under the proposed controller is guaranteed by means of Lyapunov stability criteria. The proposed control method is finally applied for the tracking control problem of robotic manipulators. Simulation results show that the proposed method exhibits promising control performance in the presence of severe external disturbances and parameter uncertainties.
A Study on Introduction of Intermediary for e-Collaboration between SMEs

ABSTRACT Latest e-business trends are collaborations as alternatives to extreme competition and strategies for cost-saving and growth. But e-collaboration among SMEs(Small and Medium Size Enterprises) has too many constraints. Because SMEs are feeble in utilizing IT technology and lack driving force and concentration for informatization. In this context, we propose to introduce e-collaboration intermediary which can promote e-collaboration among SMEs. It is in charge of supporting that SMEs with the different system each other can form the collaborative business relationship while they use their own unique systems. We also show e-collaboration intermediary's system architecture which can be adoptable. Lastly, we think about expected effect in technical and business aspects. In the technical aspect, its application can be justified in its open, horizontal, and result-oriented characteristics. And in the business aspect, its application can be justified in making the business activities efficient or creating the new business. Keywords: E-Collaboration Intermediary, E-Collaboration Platform, Horizontal Collaboration
Organizational Factors, Organizational Culture, Job Satisfaction and Entrepreneurial Orientation in Public Administration

Abstract The present paper outlines the critical role and influence of organizational culture and job satisfaction on the relationship between organizational factors and entrepreneurial orientation (EO) in the public sector through generating the theoretical framework. Upon examining these terms, a model that reflects their mutual relationships has been suggested. The amalgam of internal work environment, work discretion and rewards/recognition in combination with the appropriate degree of organizational boundaries, such as formalization, centralization, technology routines and connectedness, are crucial for fostering organizational culture and job satisfaction that lead to EO through innovativeness, proactiveness and risk taking.
Use of Collection and Services by P.G. Students and Research Scholars in GBPUAT Library, India

The aim of this study is to find out the use of Govind Ballabh Pant University of Agriculture & Technology (GBPUAT) library collection and services by postgraduate students and research scholars. The scope of the study was limited to the use of library collection and services as well as the postgraduate students and research scholars. Questionnaires were administered randomly among 250 students. A total 137 useable questionnaires were taken for analysis and interpretation. The Likert’s scale was also used for designing questionnaire. The findings showed that from the library’s collection (books/monographs, reference materials, research reports/bulletins, CD-ROMs, newsletters, periodicals, thesis/dissertations, book reviews and seminars/conference proceedings/workshops) whereas library services (photocopying, CD-ROM database, online, catalogue, indexing and abstracting, CAS, bibliographical, reference, and lending/circulation) were the most used among the P.G. students and research scholars for different purposes like (research work, project work, study, personal work). It was also observed that CD-ROM databases, e-journals and online databases were the most highly used e-resources. Moreover, electronic and online databases such as AGRIS, AGRICOLA, CAB Abstract and Agriculture & Natural Resources were the most highly used databases among the PG students and research scholars. The study puts forward its recommendations in regards to enhancing the use of collection and services.http://dx.doi. org/10.14429/djlit.34. 6.7938
A Energy Balancing Control Strategy for Microgrid with Storage Systems

In a microgrid, there is usually an energy storage system, while there is no continuous energy supply. The storage system does not only be used as a power supply in islanded state, but also could be taken as the demand side management devices in grid-connected state. In this paper, a system energy managing strategy is proposed. It can balance the energy in autonomous state, and manage power in gridconnected state under time-of-use pricing. Next, the droop control and economic dispatch method are introduced into the power management strategies to improve the power supply reliability and perform peak load shaving for maximum benefits. Finally, a simulation is shown to analyze the benefit from the strategies. And the applications of the economic dispatch method are discussed in the results under different operating conditions and market policies. Keywords-microgrid; storage system; energy balancing.
Metagenomic approach towards bioprospection of novel biomolecule(s) and environmental bioremediation

Microorganisms have developed several physiological adaptations to survive within extreme ecological niches including environments contaminated with heavy metals, pesticides, polycyclic aromatic hydrocarbons, and nuclear wastes. Microorganisms in extreme habitat are potential source of “novel biomolecule(s)” such as whole microbial cells, extremozymes and extremolytes, significantly required for environmental, industrial, and red medical/pharmaceutical biotechnology. These novel biomolecule(s) are valuable resources and may help improve economic development. The scanty information about the factors governing the microbial growth within stressed Review Article Tripathi et al.; ARRB, 22(2): 1-12, 2018; Article no.ARRB. 38385 2 environments is the major constraint in the recovery of novel biomolecule(s) from extreme habitats. Understanding the structure, metabolic capabilities, microbial physiology, and factors governing the composition and role of indigenous microorganism is the key to success of any study. In recent past the problems associated with classical cultivation techniques have been resolved by an emerging approach referred to as “metagenomics”. Metagenomic studies give an insight into details of the structure, metabolic and physiological capabilities of indigenous microbial communities. High-throughput sequencing technologies in conjunction with metagenomics has aided in the identification and characterization of novel culturable and uncultured microorganisms with unique capabilities. Metagenomic studies have been used for isolation and characterization of novel biomolecule(s) relevant for white, grey, and red biotechnologies. The major objective of this review is to discuss the applications of metagenomic approach for bioprospection of novel biomolecule(s) and environmental bioremediation.
Disciplinary Difference in Citation Opinion Expressions

This study examines academic opinion expressions in citation context. We first developed an annotation schema to annotate three aspects of each academic opinion expressed in a citation statement: rhetorical purpose, content aspect, and opinion polarity. We then annotated two samples: a natural science sample consisting of biomedical journal articles, and an engineering sample consisting of conference papers in the natural language processing field. A comparison of the annotations on the two samples showed disciplinary differences in citation opinion expressions. The result contributes to the understanding of academic opinion expressions in citation context and the development of automated citation opinion analysis tools to assist researchers' literature search and navigation.
Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation

As a practical problem in open and dynamic environments, class-incremental learning has attracted much attention from many fields. Learning with augmented class (LAC) problem formulates one of the core difficulties of class-incremental learning: instances of augmented class need to be predicted with the restriction that only examples from seen classes are observed in training phase. LACU framework advances the study of LAC problem by exploiting unlabeled data, while it does not take into account an important practical problem widely-existing in real-world applications of LAC - imbalanced class distributions among seen classes, which will further increase the learning difficulties of LAC problem. We propose a novel approach Label Confidence Propagation (LCP) to tackle the problem of imbalanced augmented class learning with unlabeled data. LCP enlarges the labeled training data set by estimating class labels for unlabeled data, to meet the challenge of lacking supervision information of augmented classes via identifying some of their instances, and to alleviate the damage of class-imbalance via identifying more instances for each seen class. LCP firstly initializes label confidence, i.e., the posterior probability distributions of all classes (including augmented classes) for unlabeled data, then iteratively propagates label confidence to identify a valid label for each unlabeled instance to enlarge the labeled training data set. Finally, LCP predicts for unseen instances by linear neighborhood reconstruction to be robust to potential noise. Results on abundant experiments show that LCP is significantly superior to many state-of-the-art methods, and robust to high imbalance ratio and high open level. LCP can sufficiently unleash its strength especially when there are abundant unlabeled data available.
Rheological Modeling of the Dorlastan Core Spun Yarns for Various Dorlastan Drafts and Yarn Counts

The mechanical behaviour of the Dorlastan® core spun yarns having different counts (100, 50, 33.33 and 25 tex) and various elastane drafts is modeled in this paper. The theoretical analysis is based on the response of the elastic core spun yarn to the tensile and the relaxation tests at different strain levels. These tests have permitted us to identify the non linear viscoelastic behaviour of the Dorlastan® core spun yarn. Analogical approach is employed to propose the rheological model describing the mechanical behaviour of the elastic core spun yarns. Comparing with the experimental data, the theoretical model gives a reasonably accurate prediction of the mechanical behaviour of the elastic core spun yarns for both tensile and relaxation tests.
Simulation of steady-state availability models of fault-tolerant systems with deferred repair

This paper targets the simulation of continuous-time Markov chain models of fault-tolerant systems with deferred repair. We start by stating sufficient conditions for a given importance sampling scheme to satisfy the bounded relative error property. Using those sufficient conditions, it is noted that many previously proposed importance sampling schemes such as failure biasing and balanced failure biasing satisfy that property. Then, we adapt the importance sampling schemes failure transition distance biasing and balanced failure transition distance biasing so as to develop new importance sampling schemes which can be implemented with moderate effort and at the same time can be proved to be more efficient for balanced systems than the simpler failure biasing and balanced failure biasing schemes. The increased efficiency for balanced and unbalanced systems of the new adapted importance sampling schemes is illustrated using examples.
Broadband Equivalent Circuit Model for a Coplanar Waveguide Line Loaded with Split Ring Resonators

A new equivalent circuit for a coplanar waveguide loaded with split ring resonators is presented. The traditional circuits that model these devices are only able to characterize the left-handed propagation band, and their response is very similar to the real one within a very limited bandwidth. In contrast, this proposed broadband equivalent circuit is able to portray not only the left-handed propagation band, but also the right-handed one that occurs at higher frequencies. Besides, the response of this kind of basic cells can be adjusted with the proposed circuit model in a bandwidth close to a decade.
Entrepreneurial Competencies of Women Entrepreneurs of Micro and Small Enterprises

Entrepreneurial competencies are critical for entrepreneurial success. Despite a growing body of literature in the field of entrepreneurial competencies, there is still considerable uncertainty concerning entrepreneurial competencies of female entrepreneurs. The objective of the study is therefore to empirically analyze the entrepreneurial competencies of female entrepreneurs. Based on a study of 306 women entrepreneurs of Micro and Small Enterprises (200 women entrepreneurs from Germany and 106 women entrepreneurs from Ireland), this analysis finds that entrepreneurial competencies as a higher order latent construct have a major impact on entrepreneurial success. Entrepreneurial competencies of women entrepreneurs in Germany and Ireland can be operationalized by a set of six first-order factors, including functional task related managerial skills, entrepreneurial characteristic adaptations of self-efficacy and orientations of competition, risk-taking and innovation, and the founder and innovator identity. The theoretical construct of entrepreneurial performance, which consists of the dimensions of economic, individual and societal performance, is expanded with the dimensions of performance quality, customer satisfaction and productivity. The practical implication of the study is that not only task related skills, but also distal personality related characteristic adaptations and identity should be developed in entrepreneurial learning programs targeted at women entrepreneurs who start small businesses. Future studies need to isolate the influence of context from the identified competencies.
Opportunities for applications using 5G networks: requirements, challenges, and outlook

The increasing demand for mobile network capacity driven by Internet of Things (IoT) applications results in the need for understanding better the potential and limitations of 5G networks. Vertical application areas like smart mobility, energy networks, industrial IoT applications, and AR/VR enhanced services all pose different requirements on the use of 5G networks. Some applications need low latency, whereas others need high bandwidth or security support. The goal of this paper is to identify the requirements and to understand the limitations for 5G driven applications. We review application areas and list the typical challenges and requirements posed on 5G networks. A main challenge will be to develop a network architecture being able to dynamically adapt to fluctuating traffic patterns and accommodating various technologies such as edge computing, blockchain based distributed ledger, software defined networking, and virtualization. To inspire future research, we reveal open problems and highlight the need for piloting with 5G applications, with tangible steps, to understand the configuration of 5G networks and the use of applications across multiple vertical industries.
Towards Sustaining the Status Quo: Business Talk of Sustainability in Finnish Corporate Disclosures 1987–2005

The paper seeks to shed more light on how businesses have used the language of sustainability in their disclosures. The study employs interpretive textual analysis and takes a closer look at how the corporate talk of sustainability has developed in the disclosures of three major Finnish companies during the period 1987–2005. In-depth understanding is sought by limiting the analysis of disclosures from four anchor points only. The findings indicate major changes in the ways the case corporations have used sustainability-related concepts over the two decades. Over time sustainability seems to have transformed from a possibly revolutionary concept into an evolutionary one, if not to one merely concerned with sustaining of the status quo. Moreover, whereas in the early disclosures the conceptualisation of sustainability appears to be rather polyphonic, in more recent years the companies use fairly similar rhetoric drawing on the discourse of weak sustainability. As a longitudinal study the paper makes a contribution to the still relatively limited body of research deconstructing corporate social and environmental disclosures from an interpretive standpoint. However, the study focuses only on the disclosures of three case companies in one particular country, and thus the generalisation of the findings must be approached with caution.
Automatic registration of multi-source medium resolution satellite data

Multi-temporal and multi-source images gathered from satellite platforms are nowadays a fundamental source of information in several domains. One of the main challenges in the fusion of different data sets consists in the registration issue, i.e., the integration into the same framework of images collected with different spatial resolution and acquisition geometry. This paper presents a novel methodology to accomplish this task on the basis of a method that stands out from existing approaches. The whole data (time series) set is simultaneously co-registered with a two-dimensional multiple Least Squares adjustment with different geometric transformations implemented. Some tests were carried out with different geometric transformation models (including similarity, affine, and polynomial) and variable matching thresholds. They showed a sub-pixel precision after the computation of multiple adjustment. The use of multi-image corresponding points allowed the improvement of the registration accuracy and reliability of a time series made up of data imaged with different sensors.
Leishmanicidal Activity of Withanolides from Aureliana Fasciculata var. Fasciculata

Leishmaniasis is the generic denomination to the neglected diseases caused by more than 20 species of protozoa belonging to the genus Leishmania. The toxic and parenteral-delivered pentavalent antimonials remain to be the first-line treatment. However, all the current used drugs have restrictions. The species Aureliana fasciculata (Vell.) Sendtner var. fasciculata is a native Brazilian species parsimoniously studied on a chemical point of view. In this study, the antileishmanial activity of A. fasciculata was evaluated. Among the evaluated samples of the leaves, the dichloromethane partition (AFfDi) showed the more pronounced activity, with IC50 1.85 µg/ml against promastigotes of L. amazonensis. From AFfDi, two active withanolides were isolated, the Aurelianolides A and B, with IC50 7.61 μM and 7.94 μM, respectively. The withanolides also proved to be active against the clinically important form, the intracellular amastigote, with IC50 2.25 μM and 6.43 μM for Aurelianolides A and B, respectively. Furthermore, withanolides showed results for in silico parameters of absorption, distribution, metabolism, excretion, and toxicity (ADMET) similar to miltefosine, the reference drug, and were predicted as good oral drugs, with the advantage of not being hepatotoxic. These results suggest that these compounds can be useful as scaffolds for planning drug design.