Miracle-dz/UniFAR-FTUs huggingface dataset:
The Importance of Cultural Adaptation within Business Relationships for the Trust Development Workin-Progress

The importance of trust in establishing and sustaining long-term business relationships has been convincingly stressed in the academic literature. Trust is seen as even more critical in intercultural business relationships between firms across national borders as these relationships imply greater uncertainty and risks originated essentially from differences in business culture. It has also been acknowledged, that business culture has an impact on the behaviour of firms and individuals, who are the actors within business relationships. Development of trust within a business relationship occurs through the interpersonal interaction process. Nevertheless interpersonal interaction is more effective when parties have a better understanding and a higher level of acceptance of each other‟s culture. Thus, developing trust within inter-cultural business relationships may initially require cultural adaptation. By cultural adaptation within business relationships we mean the process of adjusting to culturally dissimilar backgrounds and behaviours of partner firms resulted from their societal norms held by their individuals in order to maintain the relationship development between these partners. In conjunction to these issues, the overall aim of the research is to reveal how trust develops between partner firms in the context of intercultural business relationships and how understanding of the business culture of a partner firm and adaptation to it can be a driving force for the beginning and maintaining of trust development process with that partner. The study employs a multiple case study strategy and semi-structured interviews with relationship managers in selected case companies as the primary method of data gathering.
Coherence models in schizophrenia

Incoherent discourse in schizophrenia has long been recognized as a dominant symptom of the mental disorder (Bleuler, 1911/1950). Recent studies have used modern sentence and word embeddings to compute coherence metrics for spontaneous speech in schizophrenia. While clinical ratings always have a subjective element, computational linguistic methodology allows quantification of speech abnormalities. Clinical and empirical knowledge from psychiatry provide the theoretical and conceptual basis for modelling. Our study is an interdisciplinary attempt at improving coherence models in schizophrenia. Speech samples were obtained from healthy controls and patients with a diagnosis of schizophrenia or schizoaffective disorder and different severity of positive formal thought disorder. Interviews were transcribed and coherence metrics derived from different embeddings. One model found higher coherence metrics for controls than patients. All other models remained non-significant. More detailed analysis of the data motivates different approaches to improving coherence models in schizophrenia, e.g. by assessing referential abnormalities.
Ultrasonography assess the pneumoscrotum : a case series

Pneumoscrotum is an unusual disease that means that the gas is exist in the scrotum and usually described during diagnosis and treatment process, also with disease condition. The vast majority of literature about pneumoscrotum are case reports, and rarely see the research literature about it. The most common cause of pneumoscrotum are iatrogenic injury and traumatic factors. The presence of pneumoscrotum may indicate the possibility of a life-threatening disease process in the peritoneum or retroperitoneal, although itself is a benign and rare condition. This condition should never be underestimated.
A Study of Biosynthesis and Characterization of Silver Nanoparticles from Cassia auriculata

This study was conducted to assess the nanoparticle is a novel way to synthesis nanoparticles by using biological sources. It is gaining attention due to its cost effective, ecofriendly and large scale production possibilities. In this present study Cassia auriculata was taken to investigate their potential for synthesizing silver nanoparticle. The silver nanoparticles synthesized were confirmed by its change of colour to dark brown due to the phenomenon of surface plasmon resonance. Silver nanoparticles were characterized by UV–vis spectrophotometer, SEM, XRD, AFM and FTIR spectroscopy. Cassia auriculata leaf showed great capability to synthesis silver nanoparticle at optimum temperature conditions. The UV absorption peak at 428nm clearly indicates the synthesis of Ag NPs. The SEM, TEM and AFM studies were helpful at deciphering their morphology and distribution. DLS and Zeta potential studies validated the size and charge of the nanoparticles in the colloidal system without any aggregation. FTIR studies confirmed the biofabrication of the silver nanoparticle by the action of different phytochemicals with it s different functional groups present in the extract solution. The XRD patterns confirmed the purity, phase composition and nature of the synthesized nanoparticles. The silver nanoparticles have great pharmacological activity.
of Advanced Robotic Systems Stability and Variable Admittance Control in the Physical Interaction with a Mobile Robot Regular Paper

Admittance controllers have been widely implemented in physical human/robot interaction (pHRI). The stability criteria and the parameter adaptation methods for admit‐ tance control have been well-studied. However, the established methods have mainly focused on human/ manipulator interaction, and cannot be directly extended to mobile robot-based pHRI, in which the nonlinearity cannot be cancelled by feedback linearizations and the measurements of the relative human/robot position and orientation are usually lacking. In this paper, we study the pHRI between a human user and a mobile robot under admittance control. We develop a robotic system which can measure the relative chest/ankle positions of the human user with respect to the robot. Using the measured human position, a human frame admittance controller is proposed to remove the nonlinearity in the system dynamics. Based on the human-frame admittance control, a stability criteri‐ on is derived. By using a human arm stiffness estimator along with the derived stability criterion, a stiffness-based variable admittance controller is designed. The effective‐ ness of the proposed methods in improving the pHRI performance is tested and supported by simulations and experimental results.
Title : Data Normalization : A Key For Structural Health Monitoring

Structural health monitoring (SHM) is the implementation of a damage detection strategy for aerospace, civil and mechanical engineering infrastructure. Typical damage experienced by this infrastructure might be the development of fatigue cracks, degradation of structural connections, or bearing wear in rotating machinery. For SHM strategies that rely on vibration response measurements, the ability to normalize the measured data with respect to varying operational and environmental conditions is essential if one is to avoid false-positive indications of damage. Examples of common normalization procedure include normalizing the response measurements by the measured inputs as is commonly done when extracting modal parameters. When environmental cycles influence the measured data, a temporal normalization scheme may be employed. This paper will summarize various strategies for performing this data normalization task. These strategies fall into two general classes: 1. Those employed when measures of the varying environmental and operational parameters are available; 2. Those employed when such measures are not available. Whenever data normalization is performed, one runs the risk that the damage sensitive features to be extracted from the data will be obscured by the data normalization procedure. This paper will summarize several normalization procedures that have been employed by the authors and issues that have arose when trying to implement them on experimental and numerical data.
Evaluation of Community-Wide Interventions

Policymakers often turn to place-based initiatives to address complicated and persistent community-wide problems such as concentrated poverty and lack of access to quality schooling, jobs, and health care. Most placebased initiatives are fundamentally incompatible with commonly used evaluation methods, and random assignment frequently represents a very poor evaluation design in this setting. However, there are evaluation methods that can address these challenges.
Multilayer Perceptron and Evolutionary Radial Basis Function Neural Network Models for Discrimination of HIV-1 Genomes

High rate of mutation and frequent recombination cause evolution of HIV-1 very diverse and adaptive. Revealing the recombination patterns in HIV-1 is a computationally intensive problem. Techniques based on phylogenetic analysis are not suitable for genomelevel studies. Here we elucidate approaches based on multilayer perceptron and evolutionary radial basis function neural network for the analysis of 4130 HIV1 genomes. These techniques show remarkable improvement over other machine learning techniques used for such classification. The models outperformed other machine learning models having 92% classification accuracy. Multilayer perceptron achieved sensitivity and specificity of 82% and 96%, whereas radial basis function neural network achieved sensitivity and specificity of 78% and 98% on tenfold cross-validation respectively.
Learning Management Systems: The Game Changer for Traditional Teaching and Learning at Adult and Higher Education Institutions

This qualitative case study explored how learning management systems influence adult learners' method of acquiring higher education, how learning management systems influence adult learners transformative learning and how learning management systems is a game-changer for traditional teaching and learning at adult and higher education institutions. This empirical study focused on the perspectives of faculty members, students, and academic leadership concerning learning management systems utilization, benefits, preference, and satisfaction that influenced traditional teaching and learning at adult and higher education institutions. The qualitative and quantitative research methods conducted by the scholars in this empirical study shows positive and optimistic responses from faculty members and students regarding learning management system preference, utilization, appreciation, and satisfaction for online teaching-learning at adult and Higher education institutions. The study shows the trend, and directions adult and higher education institutions are taking to meet the demands and competition to deliver online education to adult learners.
Recommender System Through Sentiment Analysis

—Customer product reviews play an important role in the customer's decision to purchase a product or use a service. Customer preferences and opinions are affected by other customers' reviews online, on blogs or over social networking platforms. We propose a multilingual recommender system based on sentiment analysis to help Algerian users decide on products, restaurants, movies and other services using online product reviews. The main goal of this work is to combine both recommendation system and sentiment analysis in order to generate the most accurate recommendations for users. Because both domains suffer from the lack of labeled data, to overcome that, this paper detects the opinions polarity score using the semi-supervised SVM. The experimental results suggested very high precision and a recall of 100%. The results analysis evaluation provides interesting findings on the impact of integrating sentiment analysis into a recommendation technique based on collaborative filtering.
6054 Optimal Fishery with Coastal Catch

In many spatial resource models it is assumed that the agent is able to determine the harvesting activity over the complete spatial domain. However, agents frequently have only access to a resource at particular locations at which the moving biomass, such as fish or game, may be caught or hunted. To analyse this problem, we set up a simple optimal control model of boundary harvesting. Using the Pontryagin’s Maximum Principle we derive the associated canonical system, and numerically compute canonical steady states and optimal time dependent paths, and characterise the optimal control and the associated stock of the resource. Finally, we extend our model to a predator-prey model of the Lotka-Volterra type, and show how the presence of two species enriches the results of our basic model. For both models we illustrate the dependence of the optimal steady states and the optimal paths on the cost parameters. JEL-Codes: Q220, C610.
Adjunctive immunotherapy enhances antitumor efficacy and improves survival of hepatocellular carcinoma patients

Adjunctive immunotherapy is an efficient treatment for cancers by stimulating cytotoxic lymphocytes activities against cancer cells. In this study, we determined whether the conventional cancer treatment combined with adjunctive immunotherapy could prolong the survival of patients with liver cancer. The retrospective cohort studies were studied in 320 newly diagnosed advanced hepatocellular carcinoma (HCC) patients from Jan 2011 to May 2015 in the national center for cancer treatment. Most of enrolled patients were undergone chemotherapy (25.6%), radiotherapy 88 (27.5%) or surgery (36.9%) for liver cancer treatments. The effects of adjuvant immunotherapy therapy were follow-up reports approximately maximal 4.33 years (for adjuvant immunotherapy users). The survival of patients with liver cancer treated by adjuvant immunotherapy were significantly extended associated with a decreased risk of metastasis and death compared with patients without immunotherapy therapy [hazard ratio (HR)=0.78, 95% confidence interval (CI)=0.74-0.92]. The protective effects against recurrence were enhanced and survival rate was improved significantly in liver cancer patients nursed by immunotherapy therapy. In conclusion, this respective cohort study suggests that adjunctive immunotherapy therapy improved the survival rate in patients with HCC and provided clinical information for further studies to confirm the potential role of adjunctive immunotherapy therapy in HCC.
Phase-controlled , speckle-free holographic projection with applications in precision optogenetics

Holographic speckle is a major impediment to computer-generated holographic (CGH) projections in applications ranging from display, optical tweezers, and machining to optogenetic neural control. We present an iterative phase retrieval algorithm that allows the projection of amplitude-controlled speckle-free one-dimensional patterns with a high degree of pattern uniformity. The algorithm, termed the weighted Gerchberg– Saxton with phase-control (GSW-PC), is shown to have the ability to simultaneously control both the phase and amplitude of projected patterns with high diffraction efficiencies. Furthermore, we show that the framework can address the challenge of projecting volumetric phase and amplitude-controlled patterns, by incorporating GSW-PC with the angular spectrum method. The algorithms’ performance is numerically and experimentally tested, and further compared with conventional and modern CGH techniques. © 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.NPh. 5.2. 025004]
CHARACTERISTICS OF PRECIPITATION PHYSICS IN THE CONVECTIVE CELLS IN A HUMID ENVIRONMENT

Meso-scale convective cells are components of a precipitation system, which sometimes produces heavy rainfalls. A large number of precipitation particles in a convective cell produce a strong rainfall when they reach the ground. Distributions of precipitation particles in the convective cell vary with formation processes. Therefore, it is important to clarify the distribution of precipitation particles in the convective cell for understanding precipitation physics. Polarimetric radar is available to characterize properties of precipitation particles. Polarimetric variables have information of various properties of precipitation particles which predominate within a sensitive volume of a radar observation. To clarify the distribution of precipitation particles in a convective cell, a direct observation of raindrop size distribution (DSD) is effective in addition to the polarimetric radar observation. Several studies have been made on precipitation particles in severe convective cells (e.g. Zeng et al., 2001). These convective cells grew above the height of 0 C level (0 Cheight) in echo-top of 30 dBZ. However, in a humid environment, as in Okinawa, Japan, during a rainy season, called the “Baiu”, from June to July, convective cells have low echotop heights. Shinoda et al. (2007) represented that convective cells around Okinawa Island during the Baiu period have low altitudes of reflectivity peaks (1.5-2.0 km altitude) and low echo-top heights of 30 dBZ (around 0 C-height) by statistical studies. Shusse et al. (2006) analyzed the characteristics of polarimetric variables in relatively shallow convective cells around Okinawa Island during the Baiu period using a C-band polarimetric radar. They showed that a convective cell embedded in stratiform precipitation area existed with small raindrops below the height of 2 km dominantly. Convective cells exist not only in a convective rain zone but also in a stratiform rain zone associated with a precipitation system around Okinawa during the Baiu period. Distributions of precipitation particles in the convective cells with low echo-top heights are not revealed. To understand precipitation physics of convective cells developing in the humid environment, it is necessary to clarify distributions of precipitation particles in these convective cells existing in the stratiform rain zone and convective rain zone. We made observations at Okinawa Island during the Baiu period in 2006 using a C-band polarimetric radar and a disdrometer which measures DSD on the ground.
Naive Bayes and BiLSTM Ensemble for Discriminating between Mainland and Taiwan Variation of Mandarin Chinese

Automatic dialect identification is a more challengingctask than language identification, as it requires the ability to discriminate between varieties of one language. In this paper, we propose an ensemble based system, which combines traditional machine learning models trained on bag of n-gram fetures, with deep learning models trained on word embeddings, to solve the Discriminating between Mainland and Taiwan Variation of Mandarin Chinese (DMT) shared task at VarDial 2019. Our experiments show that a character bigram-trigram combination based Naive Bayes is a very strong model for identifying varieties of Mandarin Chinense. Through further ensemble of Navie Bayes and BiLSTM, our system (team: itsalexyang) achived an macro-averaged F1 score of 0.8530 and 0.8687 in two tracks.
CORROSION EVALUATION METHODS FOR POWER TRANSMISSION LINES Mayer P. Ontario Hydro Technologies, 800 Kipling Aveniue, KR196, Toronto, Ontario, Canada M8Z 5S4 METÓDY

Maintenance and refurbishment of in-service electric power transmission lines require accurate knowledge of components condition in order to develop cost effective programs to extend their useful life. This paper describes testing and evaluation methods that are used to assess the line components. Since corrosion is the primary cause of in-service line deterioration, the focus is on detailed discussion of corrosion testing methods that are most frequently used in current practice.
33 ISOLATION AND PARTIAL CHARACTERIZATION OF A NEW BACTERIOCIN FROM BACILLUS PUMILUS DR 2 ISOLATED FROM SEA WATER

Soil samples collected from sea water (Ennore, India) were screened for bacteria that produce antimicrobial compounds. The isolated microbial strain that exhibited highest antimicrobial property was identified by biochemical and 16S rRNA sequencing as Bacillus pumilus. The antimicrobial activity was suppressed in the presence of trypsin, indicating that the antimicrobial substance is proteinaceous in nature. The bacteriocin named Pumiviticin, was found to be halotolerant with a maximal activity of 42.37 IU/ml (Nisin equivalents) in the presence of 1M NaCl (pH 8.0), and was thermostable as it retained onefourth of its activity even after incubation for 2 hours at 110 o C. Pumiviticin (molecular weight 3.9 kDa) inhibit a wide range of microorganism belonging to the lactic acid bacteria such as Lactobacillus jugurti, Lactobacillus casei, Lactobacillus acidophilus, Lactobacillus helveticus, Lactobacillus fermentum, Lactobacillus brevis, Lactobacillus plantarum, Lactobacillus bulgaricus, Lactococcus lactis, Listeria monocytogenes, Leuconostoc mesenteroides, Bacillus subtilis, Micrococcus luteus and also selected gram negative pathogenic bacteria including Salmonella typhimurium and Proteus vulgaris. The functional and stability characteristics of Pumiviticin produced by this isolate, B. pumilus DR2, is distinct from the B. pumilus strain reported in literature
Determinants of participation of smallholder farmers in marketing of grain amaranth in Kamuli District , Uganda

1 National Semi-arid Resources Research Institute, Serere, P.O. BOX Private Bag, Soroti, Uganda. 2 Department of Agribusiness and Natural Resource Economics, College of Agricultural and Environmental Sciences, Makerere University Kampala, P.O. BOX.7062, Kampala, Uganda. 3 Department of Extension and Innovation Studies, College of Agricultural and Environmental Sciences, Makerere University Kampala, P.O. BOX.7062, Kampala, Uganda. 4 Department of Crop Production, College of Agricultural and Environmental Sciences, Makerere University Kampala, P.O. BOX.7062, Kampala, Uganda.
McMurdo Ice Shelf ( MIS ) and Southern McMurdo Sound ( SMS ) Drilling Projects themed

The ANDRILL (Antarctic Drilling Project) McMurdo Ice Shelf (MIS) project drilled 1285 m of sediment in Hole AND-1B, representing the past 12 m.y. of glacial history. Downhole geophysical logs were acquired to a depth of 1018 mbsf (meters below seafl oor), and are complementary to data acquired from the core. The natural gamma radiation (NGR) and magnetic susceptibility logs are particularly useful for understanding lithological and paleoenvironmental change at ANDRILL McMurdo Ice Shelf Hole AND-1B. NGR logs cover the entire interval from the seafl oor to 1018 mbsf, and magnetic susceptibility and other logs covered the open hole intervals between 692 and 1018 and 237–342 mbsf. In the upper part of AND-1B, clear alternations between low and high NGR values distinguish between diatomite (lacking minerals containing naturally radioactive K, U, and Th) and diamictite (containing K-bearing clays, K-feldspar, mica, and heavy minerals). In the lower open hole logged section, NGR and magnetic susceptibility can also distinguish claystones (rich in K-bearing clay minerals, relatively low in magnetite) and diamictites (relatively high in magnetite). Sandstones can be distinguished by their high resistivity values in AND-1B. On the basis of these three downhole logs, diamictite, claystones, and sandstones can be predicted correctly for 74% of the 692–1018 mbsf interval. The logs were then used to predict facies for the 6% of this interval that was unrecovered by coring. Given the understanding of the physical property characteristics of different facies, it is also possible to identify subtle changes in lithology from the physical properties and help refi ne parts of the lithostratigraphy, for example, the varying terrigenous content of diatomites and the transitions from subice diamictite to openwater diatomite.