Miracle-dz/UniFAR-FTUs huggingface dataset:
The Moderating Effect of the High Involvement Work Systems Between the Relationship of Role Overload and Organizational Citizenship Behavior in Apparel Industry (Special Reference to Katunayake Free Trade Zone)

This study attempted to examine the moderating effect of the high involvement work systems between the relationship of role overload and organizational citizenship behavior in apparel industry. Furthermore, this study examined the relationship between length of service and organizational citizenship behaviour also. Role overload is normal condition among sewing associates in garment field and it is inherent to the industry. The whole organizational success critically lies on the hands of sewing associates. So, it is very important to study, how to minimize negative effect of role overload on organizational citizenship behaviour by implementing a sound high involvement work system. This study followed deductive research approach and conducted among 300 sewing associates from five garment factories in Katunayake free trade zone using a questionnaire. Findings indicated that the negative relationship between role overload and organizational citizenship behaviour is moderated by high involvement work systems and there was a positive relationship between role overload and length of service of the employees.
Daily use of alcohol (postprint)

Purpose: Harmful use of alcohol is a major public health problem. While harm is often researched in the context of heavy drinking episodes, high-frequency drinking, even when drinking moderate quantities, constitutes a health risk in a longer perspective. The aim of this study was to examine the prevalence of daily use of alcohol in the Norwegian general population, and to assess sociodemographic, mental health-related and personal resource variables associated with daily use of alcohol. Methodology: A cross-sectional survey concerned with health, illness and serious life events was distributed to 5,500 persons in the general population in Norway (response rate 36 %). Sociodemographic variables, personal resource variables (general self-efficacy, optimism, and extraversion) and psychological distress (current anxiety and/or depression) were assessed with regards to their associations with daily drinking in unadjusted and adjusted regression models. Findings: Daily use of alcohol was reported by 39 persons (2.2 %) in the sample (3.1 % of men and 1.4 % of women). While general self-efficacy, optimism and extraversion were unrelated to daily drinking, the adjusted model revealed that male sex (OR: 2.18, p < 0.05), being unemployed/not in education (OR: 3.10, p < 0.05) and reporting current anxiety and/or depression (OR: 3.12, p < 0.01) were associated with daily use of alcohol. Value: The study has contributed to the knowledge about daily drinkers in a representative sample of the Norwegian population. A proportion of 2.2 % was found to drink alcohol on a daily basis. Compared to their counterparts, the odds of daily drinking were higher for men, unemployed persons and persons reporting current psychological distress. Public health initiatives aiming at reducing harmful use of alcohol may pay particular attention to these subsets of the population.
Concentrations and size distributions of particle lung-deposited 1 surface area ( LDSA ) in an underground mine 2 3

1 Concentrations and size distributions of particle lung-deposited 1 surface area (LDSA) in an underground mine 2 3 Salo, Laura*; Rönkkö, Topi; Saarikoski, Sanna; Teinilä, Kimmo; Kuula, 4 Joel; Alanen, Jenni; Arffman, Anssi; Timonen, Hilkka; Keskinen, Jorma 5 6 Aerosol Physics Laboratory, Physics Unit, Tampere University, Tampere, 33720, Finland 7 Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, 00560, Finland 8 Currently employed at Dekati Ltd., Kangasala, 36240, Finland 9 10  Corresponding author. Tel: +358 451122546 11
Effectiveness of a Single Ultrasound-Guided Erector Spinae Plane Block for Lumbar Spinal Surgery Chan American Journal of Anesthesia & Clinical Research

Background: Spinal surgery can cause severe postoperative pain. The aim of this study was to evaluate the eﬀ ects of a single Ultrasound-Guided Erector Spinae Plane Block (US-ESPB) in patients undergoing lumbar decompression surgery. Material and Methods: A total of 100 patients were included in this prospective randomized controlled study. The patients were randomly allocated into one of 2 groups: a US-ESPB group (n = 50) or a non (n)-ESPB group (n = 50). The main outcome measure was the pain score, as determined by a Numeric Rating Scale (NRS), on postoperative day POD 1, 2, 3, 4, 5, and 6. Need for analgesia was also assessed over the 6 PODs. For mild, moderate, and severe pain, NSAIDs alone, NSAIDS plus opioids (5-10 mg/day), or NSAIDS plus opioids (10-20 mg/day), respectively, were administered. Results: The NRS signiﬁ cantly decreased over time
Gay Black man does not equal gay + Black + man: An Intersectional Analysis of Race and Sexual Orientation Stereotypes

Intersectionality theory suggests that group identities based on the intersection of different social categories are unique and cannot be understood by simply adding together the elements of each separate identity (Cole & Zucker, 2007). Across two studies, I apply an intersectional analysis to investigate how the interaction of sexual orientation and race affect perceptions of group similarity and stereotype content. The intersectionality hypothesis (H1) predicts that stereotypes for “race by sexual orientation” groups (e.g. gay Black men) will contain unique elements that are not the result of simply adding race stereotypes to sexual orientation stereotypes. With perceived similarity, intersectionality is evident in the statistical interaction between target race and sexual orientation. The prototypicality hypothesis (H2) suggests that “race by sexual orientation” groups will generate more unique attributes when they are non-prototypical with respect to race (Black) and sexual orientation (gay). The results partially supported both hypotheses. In Study 1, perceptions of similarity to the groups “Men” and “Black men” were qualified by a significant interaction between race and sexual orientation. In Study 2, all four “race by sexual orientation” groups produced unique attributes that were absent in the stereotype profiles of their constituent groups. Sexual orientation emerged as a more dominant factor than race for both perceptions of similarity and stereotype content. The results contribute to research and theory building by demonstrating that the intersection of ethnic and sexual orientation stereotypes is complex and produces meaningful differences in the perception of groups.
FINITE ELEMENT ANALYSIS OF THE EFFECTS OF THE VARUS ANGLE AND ANTERO-POSTERIOR TIBIAL INCLINATION ON THE STRESSES OF THE PROSTHETIC HUMAN KNEE

In this study, six virtual models of the prosthetic human knee joint are developed and analyzed with the finite element method (FEA). The study is based on the virtual model of the human knee joint, as well as that of an existing knee prosthesis, often used in total knee arthroplasty, virtual models developed and presented in other previous works. Based on FEA, the effects of varus angle and antero-posterior tibial inclination (a-p.t.i) on the stresses developed in the components of the knee prosthesis are studied. Using AnsysWorkbench software, von Mises stress maps and maximum stress values are obtained for the six prosthetic knee assemblies and for each of the three components of the prosthesis: polyethylene insert, tibial component and femoral component. For each case of prosthesis-knee assembly (corresponding to a varus angle of 176, 182 and 188, two variants were considered: an a-p.t. i of 0 and 5 respectively. The results show that as the varus angle increases, the von Mises stresses increase in all prosthesis components, and for an a-p.t. i of 5, the von Mises stresses decrease in all three components of knee prosthesis. The results, confirmed by clinical observations, suggest that the a-p.t. i of 5 0 is favorable.
MATHEMATICAL MODELING OF NONLINEAR THERMAL PROCESSES

When describing most real physical processes, nonlinear partial differential equations are obtained. The study of the general properties of nonlinear equations and methods for their solution is an urgent direction in the field of computational technology. Having interesting facts and a variety of effective methods for researching and solving nonlinear equations, this area of applied mathematics still does not have such a solid theoretical foundation as the theory of linear equations. Among the systems of nonlinear partial differential equations, the most common are quasilinear equations. But even for these systems at present there is no sufficiently complete theory, there are no general theorems of existence and uniqueness of the solution of the problem. For the numerical solution of quasilinear equations, difference methods or the method of grids are mainly used. It allows one to reduce the solution of a quasilinear partial differential equation to the solution of systems of linear algebraic equations.
MOBLOT: Molecular Oblivious Robots

In swarm robotics, research mainly follows a theoretical approach that considers robot systems in the abstract, where the complexity and capabilities of the underlying model are often reduced to their minimum. One general and well-investigated model is OBLOT, where the robots are silent, anonymous, and oblivious . In this work, we introduce MOBLOT, a model that extends OBLOT to address a larger spectrum of cases. MOBLOT stands for molecular oblivious robots : like atoms combine themselves to form molecules, in MOBLOT simple robots can move to form more complex computational units, having an extent and different capabilities with respect to robots; like molecules combine themselves to form the matter, in MOBLOT the complex structures can exploit their own capabilities to arrange themselves to form any shape defining an acceptable final structure. In MOBLOT, we formally define the Matter Formation (MF) problem and, as a preliminary general result, we provide a necessary condition for its solvability which relies on symmetricity . Informally, the symmetricity of a configuration measures the amount of symmetries of the robots’ disposal. We actually show how dealing with molecules can resolve in some cases the symmetry breaking issue where OBLOT cannot. Finally, we provide a case study for MOBLOT, that is, a representative MF problem along with a resolution distributed algorithm.
Cloning and Sequence of the Gene Encoding a Novel Cefotaxime-Hydrolyzing b-Lactamase (CTX-M-9) from Escherichia coli in Spain

A new CTX-M-type b-lactamase (CTX-M-9) has been cloned from a clinical cefotaxime-resistant Escherichia coli strain. Despite the close identity that exists between the CTX-M-9 and Toho-2 b-lactamases (88%), the 35 amino acids located between residues Ala-185 and Ala-219 are totally different in both enzymes. Outside of this region there are only six amino acids substitutions between both proteins.
Deepening a sense of belonging: A LAS and Faculty collaboration to build inclusive teaching

Over the past decade a sense of belonging has become widely recognised as an important predicator of success. Consequently, universities must consider how teaching approaches impact on student sense of belonging amongst diverse student cohorts. This article compares the sense of belonging reported by students from diverse sub-cohorts before and after a tutor-focussed intervention. Tutor awareness of diversity and inclusive teaching practices were developed through tutor training, which positioned tutors as dominant actors in the unit habitus. When analysed across age, gender, cultural and linguistic background, caring responsibilities, social networks and disability, student survey data over three semesters indicated shifts in the student experience of learning. Findings suggest that changes in tutor awareness and teaching practices are correlated with a greater sense of belonging and positive experience of learning across a diverse student cohort. The article discusses the applied benefits of our mixed-methods research process, particularly of developing inclusive pedagogies amongst tutors in the time-poor higher education environment.
NON-PARAMETRIC MEASUREMENT FOR PROS

Purpose Mokken scale analysis (MSA) is an attractive scaling procedure for ordinaldata. MSA is frequently used in healthrelated quality of life research. Two of MSA’sprime features are the scalability coefficients and the automated item selectionprocedure (AISP). The AISP partitions a (large) set of items into scales based on theobserved item scores; the resulting scales can be used as measurement instruments.There exist two issues in MSA: First, point estimates, standard errors, and teststatistics for scalability coefficients are inappropriate for clustered item scores, whichare omnipresent in quality of life research data. Second, the AISP insufficiently takessampling fluctuation of Mokken’s scalability coefficients into account. Methods Wesolved both issues by providing point estimates and standard errors for the scalabilitycoefficients for clustered data and by implementing a Wald-based significance test inthe AISP algorithm, resulting in a test-guided AISP (T-AISP), that is available for bothnonclustered and clustered test scores. Results We integrated the T-AISP into a two-step,test-guided MSA for scale construction, to guide the analysis for nonclusteredand clustered data. The first step is performing a T-AISP and select the final scale(s). Forclustered data, within-group dependency is investigated on the final scale(s). In thesecond step, the strength of the scale(s) is determined and further analyses areperformed. The procedure was demonstrated on clustered item scores obtained fromadministering a questionnaire on quality of life in schools to 639 students nested in 30classrooms. Conclusions We developed a two-step, test-guided MSA for scaleconstruction that takes into account sample fluctuation of all scalability coefficients andthat can be applied to item scores obtained by a nonclustered or clustered samplingdesign.
Factors Influencing Passengers’ Preference towards Public Bus Transportation from Kelantan to Northern Region

A convenient and reliable transport system is integral for every country‟s development and this study investigates the factors that influence passengers‟ preference towards public bus transportation from Kelantan to Northern Region. The number of passengers who travel to Northern Region by public bus transportation is larger than using train and flight. This research adopted quantitative method where a total of 384 respondents who are using express bus to commute to their destinations. This study was performed in Kota Bharu, Kelantan using simple random sampling technique. The study tested the hypothesis that the factors are positively related to the passengers‟ preference. The reliability and Pearson Correlation was also tested with the help of Cronbach‟ Alpha. The findings of this study show that factorssuch as accessibility, convenience and safety, play considerable role in promoting the use of public bus transportation. However, the study revealed that price of the bus ticket was the leading factor that influence passengers‟ preference. The results of this study will be helpful to the management of bus operators in their effort to continuously upgrade their services for their customer services and recommends that future studies should be conducted using a large sample size and also involve other bus transport service providers in other states or Malaysia as a whole.
Analysis of baculovirus spodoptera virulence in fall armyworm fed with cassava leaves

The fall armyworm, Spodoptera frugiperda J. E. Smith (Lepidoptera: Noctuidae) is considered the main pest of corn (Zea mays L.) in Brazil and feeds on several other plant species, including cassava (Manihot esculenta Crantz). The food substrate influences the control efficiency of baculovirus and there aren’t studies on the effects of the application of baculovirus Spodoptera frugiperda multiple nucleopolyhedrovirus (SfMNPV) on cassava leaves in the mortality of S. frugiperda larvae. The main objectives of this study were to evaluate the efficiency of SfMNPV isolate 6 on S. frugiperda larvae fed on corn and cassava leaves. The food substrates were treated with three baculovirus concentrations (2 x 105, 2 x 106 and 2 x 107 OB mL-1) of a semipurified suspension, and of a commercial formulation (CartuchoVit®), both containing SfMNPV isolate 6, and then were offer to S. frugiperda second instar larvae. The semipurified virus was more virulent than the commercial formulation, regardless of the food substrate provided to insects, when concentrations of 2 x 105 and 2 x 106 OB mL-1 were used. However, there was no difference between treatments when baculovirus suspension of 2 x 107 OB mL-1 was use and the mortality rates were higher than 91%. The mortality was higher when the larvae fed on cassava leaves treated with SfMNPV. Therefore, the food substrate increased the efficiency of SfMNPV, which promises the use of this virus in the management of S. frugiperda in cassava crops.
Spectrum of postoperative complications and histopathological findings of appendectomy in Rehman Medical Institute from 2017-2018

Materials & Methods: A descriptive study was conducted at Rehman Medical Institute, Peshawar, from January to February 2019 on 130 archival cases of appendectomies done from 2017-2018 to document postoperative complications and histopathological findings. Data were collected on a structured Performa consisted of demographic data, symptoms, complications, investigations performed, preoperative position of appendix, pathology and comorbidities. Descriptive data analysis was done with SPSS 25.0.
Pothole Region Extraction Based On Similarity Evaluation Scale Classification Using Image Processing

Pavement deterioration and abnormal climate induced by global warming lead to a constant rise in the number of potholes. Accordingly, the loss cost for maintenance and accidents also increases. Therefore, it is necessary to develop a method of classifying pavement potholes and detecting their locations. This study proposes the pothole region extraction based on similarity evaluation scale classification using image processing. The proposed technique sets up a classification threshold appropriately by considering the structure, brightness, and other factors of the grayscale-converted image through SSIM (Structural Similarity Index Measure). It binarizes porthole images classified according to the threshold, and then extracts pothole regions through the threshold based segmentation. A conventional image classification method utilizes the rules found in objects or the label selected by a user. The proposed method can take into account detailed factors by comparing image similarity in the unit of pixel. According to the performance evaluation, the proposed classification method’s F1-score is 0.83, and its accuracy of pothole region extraction is 0.851. Therefore, with the proposed technique, it is possible to make classification in consideration of similarity between images. In addition, the proposed method makes it possible to detect the regions similar to actual potholes accurately.
Analysis of Motor Imagery EEG Classification Based on Feature Extraction and Machine Learning Algorithm

The brain-computer interface provides the excellent potential to address nervous system-related activity. The function of the nervous system work between internal brain control and external human body physical structure. Some parts of the human body cannot generate the signal for the processing of the human brain, cannot recognize and identify human body parts' activity—the motor imagery EEG classification approach helps resolve such types of critical illness cause of death. The dimension and structure of motor imagery-based EEG data are very high and unsupported behaviors. The machine learning and another classification algorithm cannot handle these variants of EEG data directly. For the process of better classification of motor imagery, EEG needs transformation and extraction. The transform-based feature extraction process such as DCT, DWT, SFTF and some other harmonic frequency-based applied. In this paper presents the details analysis of feature extraction and classification algorithms for motor imagery EEG classification. The machine learning provides three types of an algorithm for classification, supervised, unsupervised and semi-supervised. This paper mainly focuses on the supervised machine learning algorithm. For the analysis of machine learning algorithm use BC competition-IV dataset. MATLAB software is used as a tool for the code of algorithms and measures standard parameters such as accuracy, sensitivity and specificity.
Preparation of NIR-II-excited Drug-loaded Liposomes and Their Antitumor Activity and in Vitro Imaging Studies

In recent years, with the rapid development of nano-technology, the combination of diagnosis and treatment by nanotechnology has brought new hope for mankind to overcome cancer. The Near-infrared two-region (NIR-II) imaging technology has developed rapidly in recent years because of its non-invasive nature, strong tissue penetration and overall imaging of small animals. In this study, a novel nano-drug delivery system (DOX-IR1061 cationic liposomes) was prepared, loaded with doxorubicin (DOX) as a chemotherapeutic drug and NIR-II-excited fluorescent probe IR1061 as an imaging agent, and the uptake ability of tumor cells was enhanced by octadecylamine. DOX-IR1061 cationic liposomes have good NIR-II imaging ability, clear imaging and obvious signal. Cell uptake indicated that palamine could enhance the uptake efficiency of cationic liposomes by tumor cells, while in vitro anti-tumor experiments revealed that the enhancement of uptake efficiency would enhance the anti-tumor effect of DOX. Therefore, DOX-IR1061 cationic liposomes we prepared have the potential to realize both tumor imaging and therapy, and to realize the integration of rapid diagnosis and treatment, and provide new ideas for cancer cure and the development of the field of diagnosis and treatment integration.
University of Groningen Microsieves for the detection of circulating tumor cells in leukapheresis product in non-small cell lung cancer patients Tamminga,

Citation for published version (APA): Tamminga, M. , Oomens, L. , Hiltermann, T. J. N. , Andree, K. C. , Tibbe, A. , Broekmaat, J., Schuuring, E. , Terstappen, L. W. M. M. , & Groen, H. J. M. (2020). Microsieves for the detection of circulating tumor cells in leukapheresis product in non-small cell lung cancer patients. Translational lung cancer research, 9(4), 1093-1100. https://doi.org/10.21037/tlcr-19-413
MODELLING CONSUMER SATISFACTION BASED ON ONLINE REVIEWS USING THE IMPROVED KANO MODEL FROM THE PERSPECTIVE OF RISK ATTITUDE AND ASPIRATION

With the development of e-commerce, an increasing number of online reviews can serve as a promising data source for enterprises to improve online products. This paper proposes a method for modelling consumer satisfaction based on online reviews using the improved Kano model from the perspective of risk attitude and aspiration. Firstly, the attributes concerned by consumers are extracted from online reviews, and sentiment analysis of the extracted attributes is carried out using Standford CoreNLP. Secondly, to identify the types of product attributes, an improved Kano model is proposed based on the effects of product attributes on consumer total utility. On this basis, different attribute types are illustrated from the perspective of risk attitude. Then, the consumer aspirations are mined based on the risk attitudes of different attributes and the attribute impact on consumer satisfaction. According to the risk attitudes and aspirations of different attributes, the quantified satisfaction functions are constructed to provide more objective and accurate improvement suggestions. Finally, the proposed method is applied to the hotel service improvement to illustrate the effectiveness.