Miracle-dz/UniFAR-FTUs huggingface dataset:
MEASURING ANXIETY TOWARDS RESEARCH AND THESIS WRITING AMONG ISLAMIC COLLEGE STUDENTS: A MIXED-METHODS STUDY

It is unquestionable that research and thesis writing anxiety has negative impacts on academic success. Such academic anxiety needs a serious concern by measuring it as a beginning step to determine appropriate research and thesis writing strategies. Therefore, this study aimed at measuring the types and levels concerning anxiety towards research and undergraduate thesis writing among students in an Islamic college. Through a mixed-methods design, 450 students from various majors at a state-owned college were asked to complete a questionnaire and 10 students were involved in a semi-structured interview. The quantitative data were analyzed by determining means, SD, and frequency levels and a content analysis was applied to analyze qualitative data. The results revealed perceived utility and competence as the most common type experienced by students during a field research and thesis writing. On the other hand, the students are able to work with library-related practice as it has the lowest mean score. Regarding qualitative result, it is stated that there are problem that emerge during the field research and thesis writing, including fear of writing, library, statistics, and field research. Fortunately, the students are able to cope with the problems by undertaking several related strategies, including conducting regular practice, comprehending online resources, and utilizing online application. In short, it is implied that such academic anxiety can be avoided by the students and it is recommended that future research has to focus on determining research and thesis writing strategies.
Erratum: “The X-Ray and Mid-infrared Luminosities in Luminous Type 1 Quasars” (2017, ApJ, 837, 145)

Chien-Ting J. Chen (陳建廷) , Ryan C. Hickox , Andrew D. Goulding, Daniel Stern , Roberto Assef , Christopher S. Kochanek , Michael J. I. Brown, Chris M. Harrison , Kevin N. Hainline , Stacey Alberts, David M. Alexander , Mark Brodwin , Agnese Del Moro, William R. Forman , Varoujan Gorjian, Christine Jones, Stephen S. Murray, Alexandra Pope , and Emmanouel Rovilos 1 Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, PA 16802, USA; ctchen@psu.edu 2 Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Laboratory, Hanover, NH 03755, USA 3 Princeton University, Department of Astrophysical Sciences, Ivy Lane, Princeton, NJ 08544, USA 4 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA 5 Núcleo de Astronomía de la Facultad de Ingeniería, Universidad Diego Portales, Av. Ejército Libertador 441, Santiago, Chile 6 Department of Astronomy, Ohio State University, 140 West 18th Avenue, Columbus, OH 43210, USA 7 School of Physics, Monash University, Clayton 3800, Victoria, Australia 8 Centre for Extragalactic Astronomy, Department of Physics, Durham University, South Road, Durham, DH1 3LE, United Kingdom 9 Steward Observatory, University of Arizona, Tucson, AZ 85721, USA 10 University of Missouri, 5110 Rockhill Road, Kansas City, MO 64110, USA 11 Max-Planck-Institut für Extraterrestrische Physik (MPE), Postfach 1312, D-85741, Garching, Germany 12 Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA 13 Department of Astronomy, Amherst, University of Massachusetts, Amherst, MA 01003, USA Received 2017 August 22; published 2017 October 3
Optical CT scanning for experimental demonstration of medical x-ray CT and SPECT

Learning the concept of computerised tomography (CT) and single photon emission tomography (SPECT) by biomedical engineering and medical physics students is hampered by limited access to clinical scanners. The use of ionising radiation and radioactive sources in x-ray CT and SPECT further complicates the design of a teaching laboratory session. We here propose an inexpensive and safe educational demonstration tool for CT and SPECT whereby a visible light source serves as source and a charge-coupled device camera serves as detector. The equivalent of a SPECT radionuclide in optical CT scanning is a chemiluminescent material which can be obtained relatively inexpensive in the form of party glow sticks. The proposed teaching tool comprises several learning outcomes such as hands-on construction of the scanner, the acquisition of images and image reconstruction. Also, different imaging artefacts can be simulated and investigated.
Exploring Consumer Loyalty towards Sambalpuri Handloom: A Structural Equation Modeling Approach

: The purpose of this study is to explore the inclination of consumers towards Sambalpuri handloom. An attempt has been made to assess the consumers’ loyalty through analysis of the factors influencing buying decisions towards these products. The data were collected from 550 selected respondents from the Sambalpur District of Odisha through random sampling. Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modeling, Garrett Ranking Technique and ANOVA have been applied to the data as per the objective. This study reveals thatmost consumers are highly familiar with Sambalpuri Handloom. Sambalpuri Bastralaya is the most preferred destination for the respondents and the usage of Sambalpuri Handloom is influenced by product specifications as well as market reach. Therefore, the focus of the policymakers should be on bringing handloom products within consumers’ reach in terms of product, price, promotion and physical distribution.
Exploring the anti-inflammatory and anti-pyretic potentials of methanolic and aqueous fruit extracts from ceiba speciosa

Background and Aim: Ceiba speciosa (C.speciosa) has been used for treating various ailments as a folklore remedy in particularly as an anti-inflammatory agent. The fruit of this plant, however, has not been extensively investigated for its pharmacological activities. Keeping in view the anti-inflammatory activity of the leaves and flowers, this study was intended to explore the anti-inflammatory potential of the fruit of this plant in rats. Materials and Methods: Carrageenan induced inflammation model was applied to study the effects of Methanol and Aqueous extract of Ceiba speciosa fruit in Wister rats of both sexes. Diclofenac sodium (10mg/kg) was used as a standard reference for this model. 9 groups of animals were made prior to the administration of methanol extract of Ceiba speciosa fruit. Yeast induced pyrexia model was used to study the anti-pyretic effect of methanol and aqueous extracts of Ceiba speciosa fruit in rats. Paracetamol (150mg/kg) was used as a standard reference for investigation of anti-pyretic effect. Results: Data compiled at the end of the study illustrated that methanol extract of C. speciosa fruit showed significant (p < 0.0001) anti-inflammatory effect at doses of 200mg/kg B.W. , 400 mg/kg B.W. and 600mg/kg B.W. when related with disease control group.
Généralisation du schéma de Roe pour le calcul d'écoulement de mélanges de gaz à concentrations variables

Le melange se comporte comme un gaz parfait mais a chaleurs specifiques variables. Etude du probleme de la capture automatique des surfaces de contact separant deux gaz parfaits non reactifs dont les rapports des chaleurs specifiques sont differents. Application au probleme de Riemann et a un probleme de jet
Clinical Profile and Diagnosis of Recurrent Cutaneous Leishmaniasis

Abstract This case-control study compared the clinical profile, parasite load, polymerase chain reaction positivity, and response to therapy in patients with recurrent cutaneous leishmaniasis (RCL) with primary cutaneous leishmaniasis (CL). The RCL patients had milder diseases with lower parasite loads, a lower number of lesions, and more self-healing diseases than primary CL patients.
Some Differential Inequalities on Time Scales and Their Applications to Feedback Control Systems

This paper deals with feedback control systems on time scales. Firstly, we generalize the semicycle concept to time scales and then establish some differential inequalities on time scales. Secondly, as applications of these inequalities, we study the uniform ultimate boundedness of solutions of these systems. We give a new method to investigate the permanence of ecosystem on time scales. And some known results have been generalized. Finally, an example is given to support the result.
Generic Moves in The Literature Review Section of PhD Dissertations

The dissertation/thesis as an academic genre has evolved in academic circles in the past 30 years or so. Research into various aspects of the academic genres in general and thesis writing, in particular, started more than two decades ago. However, not much research has been carried out regarding the theorizing of literature review writing as a separate genre in theses, especially in non-native English contexts. The present study aimed to fill the theoretical voids in the research area of Literature Review (LR) section in thesis writing in Pakistani academic settings; thus this study probes into the process of construction of literature reviewing to find out that how students organise this section and deal with the potential problems as an analytical piece of writing with sound argumentation. The current study has investigated the schematic patterns in the literature review through the framework of move analysis in genre theory. The data was drawn from fifteen (15) doctoral theses in the field of English linguistics. The methodology allows for an in-depth coding of the LR chapters in theses to investigate the rhetorical organization. In the coding process, the study has also taken insights from the two previous models of Kwan (2006) and Swales’ seminal CARS model (1990) in order to study the moves (and steps) as rhetorical units. The results of the study reflect the dominant presence of Move 1, Move 2 and Move 4, whereas the employment of Move 3 is comparatively less which justifies the worth of writer’s work. This reveals that the students resort to these moves more often to perform a ritual of literature reviewing and in dire need to be trained enough to craft the LRs argumentatively. Thus, researchers have proposed a revised model to overcome the shortcoming.
RC-Net: Row&Column Net with Text Feature for Deep Parsing Floor Plan Images

We present a novel learning framework for automatically parsing floor plan images. Our key insight is that the room type text is very common and crucial in floor plan images as it identifies the important semantic information of the corresponding room. However, this clue is never considered in previous learning-based methods. In contrast, we propose the Row&Column Net (RC-Net), a novel neural network for recognizing floor plan elements by carefully integrating the text feature. Specifically, we add the text feature branch in the network to extract text features corresponding to the room type for the guidance of room type predictions. More importantly, we formulate an RC constraint module to share and constrain features across the entire row and column to ensure that only one type is predicted in each room as much as possible, making the segmentation boundaries between different rooms more regular and cleaner. Extensive experiments on three benchmark datasets validate that our framework substantially out-performs other state-of-the-art approaches.
The Effect of Low Intensity Laser on Bone Regeneration of Intrabony Defects Treated by Liquid Phase Platelet Rich Fibrin and Membrane with Bone Graft

Purpose : The current clinical study was done to examine clinical and radiographic changes of intrabony defects in response to LLLT combined with Platelet Rich Fibrin (PRF)system & bovine engraft. Material and methods : The study was conducted on twenty (20) sites from ten (10) patients. A spilt-mouth design was used, sites were randomly selected from each patient, into two groups: control group; ten ( 10) sites received PRF system without irradiation, and laser group; ten (10) sites received PRF system and it was irradiated with low level laser. Clinical parameters included probing pocket depth (PPD), clinical attachment level (CAL), Plaque index (PI), and gingival index (GI). Digital radiograph assessment was done . Results: comparison between the groups at 6 months postoperatively showed significant difference between both Probing depth and clinical attachment level, Plaque index and Gingival index. Conclusion : The using of low intensity laser with PRF system showed an improvement in the outcome of infra bony defects treatment.
Motivations and Patterns of Engagement of CosmoQuest Participants

Citizen science in astronomy involves the exchange of volunteer effort for scientific data or data analysis needed by researchers. In order to maximize the effectiveness of citizen science projects, the motivations of these volunteers should be understood as they initially draw volunteers into the project and encourage continued engagement. Through detailed interviews with 30 participants in an online astronomy citizen science project, we categorise initial motivating factors into intrinsic and extrinsic factors and reasons for ending participation into external and internal factors. We find that volunteers with more frequent engagement in citizen science tasks are more intrinsically motivated than those who participate less frequently. Our findings that infrequent visitors, who as a whole make a significant contribution to citizen science projects, are often extrinsically motivated reveals a need for both intrinsic and extrinsic motivating factors to be built into a project and project communications in order to diversify the pool of volunteers and to maximise participation. In addition, we report on factors that led to citizen scientists stopping their engagement with a project over the short and long term
CELL CYCLE STAGING FROM FLUORECENCE DAPI IMAGES

1 Cell cycle staging information is very important in a wide range of biological problems. Here, we proposed a new method based on 4’,6-diamidino-2-phenylindole (DAPI)- stained in situ fluorescence microscopy images. It is known that the intensity and size of nuclei are discriminative features for cell cycle staging. A clustering analysis, herein computed from DAPI-stained nuclei, of a population of cells is performed using a two stage classifier. The first stage, a modified version of the k -means classical unsupervised method, incorporates the a priori information about the expected DNA amount in G 1 and G 2 cell cycle phases. The labels obtained in the first step feed a Gaussian Mixture Model (GMM) classifier that tunes the final shape and separation hyperplanes of the clusters. The obtained results are consistent with the typical distribution of cells by the G 1 , S and G 2 stages described in the literature. Further, they are molecularly validated by a Fucci system. This new image analysis method is suitable for a rapid and inexpensive estimation of cell cycle staging of biological samples, while preserving the nature of analyzed cells.
OP-CBIO190535 1..6

Motivation: More than half of the human proteome contains the proline-rich motif, PxxP. This motif has a high propensity for adopting a left-handed polyproline II (PPII) helix and can potentially bind SH3 domains. SH3 domains are generally grouped into two classes, based on whether the PPII binds in a positive (N-to-C terminal) or negative (C-to-N terminal) orientation. Since the discovery of this structural motif, over six decades ago, a systematic understanding of its binding remains poor and the consensus amino acid sequence that binds SH3 domains is still ill defined. Results: Here, we show that the PPII interaction with SH3 domains is governed by the helix backbone and its prolines, and their rotation angle around the PPII helical axis. Based on a geometric analysis of 131 experimentally solved SH3 domains in complex with PPIIs, we observed a rotary translation along the helical screw axis, and separated them by 120 into three categories we name a (0–120 ), b (120–240 ) and c (240–360 ). Furthermore, we found that PPII helices are distinguished by a shifting PxxP motif preceded by positively charged residues which act as a structural reading frame and dictates the organization of SH3 domains; however, there is no one single consensus motif for all classified PPIIs. Our results demonstrate a remarkable apparatus of a lock with a rotating and translating key with no known equivalent machinery in molecular biology. We anticipate our model to be a starting point for deciphering the PPII code, which can unlock an exponential growth in our understanding of the relationship between protein structure and function. Availability and implementation: We have implemented the proposed methods in the R software environment and in an R package freely available at https://github.com/Grantlab/bio3d. Contact: Tomermrsn@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.
FACTORS AFFECTING BRAND LOYALTY TOWARD TAEKWONDO MARTIAL ARTS OF JINYA GYM IN BANGKOK

This research investigates factors affecting brand loyalty toward taekwondo martial arts of Jinya Gym in Bangkok. These important factors are advertising, family, price, promotion, brand awareness, brand association and perceived quality. A total number of 500 questionnaires were distributed to Jinya Gym’s customers and census survey was conducted at Jinya Gym’s Future Park Rungsit branch and Bangna branch. Descriptive analysis, SPSS (Statistical Package for Social Sciences) and Pearson correlation coefficient were applied in this research. The research results showed that all of the factors studied have positive relationship with brand loyalty of Jinya Gym.
Image Segmentation with Neural Networks for Indoor Pieces

Deep learning has revolutionized artiﬁcial intelligence by the introduction of neural networks. In fact, the multiple applications of neural networks allowed a signiﬁcant breakthrough, particularly in image processing. The objec-tive of this paper is to present the set up a Deep Learning technique, semantic segmentation for the recognition of the elements of an interior room and model conversion from Caffe to TensorFlow. This paper presents the different steps and choices made as well as the results obtained at the end of the implementation of the state of the art of Computer Vision architecture for Semantic segmentation.
Can CUIs improve circadian rhythm disorders among the elderly?

From combating loneliness among the elderly to rendering healthcare workers more productive, CUIs have shown immense promise with regard to improvement in healthcare. But there is an overlooked aspect of health, sleep , and specifically how commonly ignored sleep disorders among the elderly can be treated. This provocation paper probes the capabilities of CUIs to aid healthcare workers in the treatment of body clock/circadian rhythm disorders among the aging population, a user group with a significantly different sense of temporality from the youth. Administering medication for these users on a regular basis is crucial and impunctuality can be fatal. Therefore, ensuring they attain quality sleep is also significantly integral to their well-being.
A PARALLEL FULLY-COUPLED FLUID-STRUCTURE INTERACTION SIMULATION OF A CEREBRAL ANEURYSM

A parallel fully-coupled approach has been developed for the ﬂuid-structure interaction problem in a cerebral artery with aneurysm. An Arbitrary Lagrangian-Eulerian formulation based on the side-centered unstructured ﬁnite volume method [2] is employed for the governing incompressible Navier-Stokes equations and the classical Galerkin ﬁ-nite element formulation is used to discretize the constitutive law for the Saint Venant-Kirchhoﬀ material in a Lagrangian frame for the solid domain. A special attention is given to construct an algorithm with exact ﬂuid mass/volume conservation while obeying the global discrete geometric conservation law (DGCL). The resulting large-scale algebraic linear equations are solved using a one-level restricted additive Schwarz preconditioner with a block-incomplete factorization within each partitioned sub-domains. The parallel implementation of the present fully coupled unstructured ﬂuid-structure solver is based on the PETSc library for improving the eﬃciency of the parallel algorithm. The proposed numerical algorithm is applied to a complicated problem involving unsteady pulsatile blood ﬂow in a cerebral artery with aneurysm as a realistic ﬂuid-structure interaction problem encountered in biomechanics.
Object-based cloud detection of multitemporal high-resolution stationary satellite images

Abstract. Satellite remote sensing that utilizes highly accurate cloud detection is important for monitoring natural disasters. The GaoFen-4, China’s first high-resolution stationary satellite, was recently launched and acquires imagery at a spatial resolution of 50 m and a high temporal resolution (up to 10 min). An object-based cloud detection method was conducted for a time series of GaoFen-4 images. The cloudy objects were obtained from the individual images, and the outlier detection of multiple temporal objects was further processed for refinement. In the initial cloud detection, the objects were segmented by the mean-shift algorithm, and their morphological features were extracted by extended attribute profiles. The threshold-detected cloudy objects were trained according to spectral and morphological features, and the initial objects were classified as cloudy or clear by a regularized least-squares classifier. Furthermore, the medians and standard deviations of the classified cloudy and clear objects were calculated and subsequently refined by the outlier detection of multiple temporal images. The clear object features deviated more than a multiple of standard deviations from the medians of the clear objects that were classified as cloudy objects. Additionally, the refined clear objects were obtained by a similar outlier detection method. Flood event monitoring using GaoFen-4 images showed that the average overall accuracy of the initial cloud detection was 83.4% and increased to 93.3% after refinement. This object-based cloud detection method was insensitive to variations in land objects and can effectively improve cloud detection within small or thin areas, which can be helpful for the monitoring of natural disasters.
PREDICTION OF LATE INSTALLMENT PAYMENT BASED ON INTEGRATION MODELING CLUSTER ANALYSIS AVERAGE AND WARD LINKAGE WITH SURVIVAL ANALYSIS (CASE STUDY: HOUSE OWNERSHIP LOAN BANK X CUSTOMERS)

Cluster analysis is an exploratory analysis that is used to group objects into several clusters, which clusters have diﬀerent characteristics. Survival analysis with Extended Cox regression is used when there is a time-dependent predictor variable so that the proportional hazard assumption is not met. This study integrates the two methods. The variables used are Collateral, Character, Capacity, Condition
Classification of Routing Protocols in Wireless Ad hoc Networks

— Mobile Ad-Hoc Network (MANET) is a wireless network without infrastructure. Self configurability and easy deployment feature of the MANET resulted in numerous applications in this modern era. In order to facilitate communication within the network, a routing protocol is used to discover routes between nodes. Routing protocols used in wired network cannot be used for mobile adhoc networks because of node mobility. Efficient routing protocols will make MANETs reliable . Routing is a core issue in networks for delivering data from one node to another in ad hoc network. This Paper deals with number of ways of categorization of protocol and also present some specified protocols according to that classification. The emphasis of this paper is not to present protocol in detail but present main feature of wide variety of different protocols and discuss their suitability.