Miracle-dz/UniFAR-FTUs huggingface dataset:
A Feature-Based Approach to Market Segmentation via Overlapping K-Centroids Clustering

Nonhierarchical partitioning techniques are used widely in many marketing applications, particularly in the clustering of consumers, as opposed to brands. These techniques can be extremely sensitive to the presence of outliers, which might result in misinterpretations of the segments, and subsequently to inferring incorrect relationships of segments to independently defined, actionable variables. The authors propose a general approach to market segmentation based on the concept of overlapping clusters (Shepard and Arabie 1979), wherein each pattern of overlap can be interpreted as a distinct partition. Both K-means and K-medians clustering procedures are special cases of the proposed approach. The suggested procedure can handle relatively large data sets (e.g., 2000 entities), is easily programmable, and hence can be gainfully employed in marketing research.
(1-Pyridinio)perfluorophenacylide: a new stable pyridinium ylide in the enol form.

The title compound, C(13)H(6)F(5)NO, exists in the enol form and adopts the E configuration about the enol double bond. It is the first example of an enol-type pyridinium ylide. The enol structure was unambiguously determined on the basis of the significantly longer C-O bond and shorter C-C bond. Intramolecular C-H.O and C-H.F hydrogen bonds are responsible for promotion of the enol form and for the stability of this compound.
Drivers of organizational knowledge management

Most of knowledge management documents use a single dimension or individual case study as the foundation to carry out studies into management performance and the studies into how knowledge management performance influence knowledge management driver are very few. Consequently, this study integrated the theories from different studies to propose three individual drivers of knowledge management, and the knowledge management performance of organizations was the dependent variable. Through questionnaires, the mutual relationship between the three individual drivers of knowledge management would be discussed, and then the relationship between the drivers of knowledge management and the knowledge management performance in the organization would be discussed too. Two-step approach of Anderson and Gerbing (1988) was the main study method of this study, and SPSS statistical software was used to carry out reliability test and exploratory factor analysis, and assessment of validity and measuring model were then carried out. LISREL8.51 statistical software was used to carry out verification for the measuring model. The study result showed that the more popular the application of relevant information system of knowledge management, the better the performance of organization’s knowledge management. Positive participation of the leaders and creation of knowledge management culture are important factors of the optimal knowledge management performance in the organization. On the other hand, appropriate use of information technology allows the formation of knowledge management culture. This culture could guide or stimulate the organization too. Leader’s behavior is the significant factor of creating excellent knowledge management culture. This study attempted to urge the enterprises to check on its organization and operation, and correct their major problems during the preparation of implementing knowledge management, so as to promote the probability of being successful when the enterprises implement knowledge management.
Flexible Operation Strategy for an Isolated PV-Diesel Microgrid Without Energy Storage

In this paper, a control scheme is proposed for a three-phase isolated photovoltaic (PV)-diesel microgrid without energy-storage element. The scheme aims to: track maximum power from the PVA, regulate the load voltage, compensate the load unbalance viewed by the diesel generator, and to control the diesel-engine speed. The first three tasks are achieved by controlling the pulse width modulation inverter interfacing the PV array to the system. The fourth is realized by a modified fuzzy logic controller of the diesel engine. The obstacles encountered on operating the system under certain probable loading conditions are addressed. Two different operation strategies are proposed to provide high-quality power under all loading scenarios, and to achieve the targets of the control scheme. The system operation is investigated under a variety of conditions to prove the aptness of the proposed techniques.
Gut Thoughts on the Golgi Complex

The new millennium coincides within 1 year of Camillo Golgi's centennial celebrations. It is quite remarkable that the structure and formation of this organelle is as controversial today as was its mere existence from Golgi's time to the 1950s, when EM approaches were introduced. Since the late 1950s, two opposing models of Golgi structure and function have split the Golgi scientific community, namely vesicular transport versus organelle maturation. Although a few years ago Golgi maturation seemed to be ‘out for the count’, it has recently seen an almost messianic revival. In this review, I argue that this large‐scale desertion from the vesicle transport model to the maturation camp is premature. I propose an alternative, dynamic steady‐state model, in which transient tubular connections function in parallel to vesicular transport and that the biosynthetic pathway is made up of three major distinct compartments: the ER, the Golgi and the TGN.
Exemplifying Business Opportunities for Improving Data Quality from Corporate Household Research

Corporate household (CHH) refers to the organizational information about the structure within the corporation and a variety of inter-organizational relationships. Knowledge derived from this data is becoming increasingly important for improving data quality in applications, such as Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Supply Chain Management (SCM), risk management, and sales and market promotion. Extending the concepts from our previous CHH research, we exemplify in this paper the importance of improved corporate household knowledge and processing in various business application areas. Additionally, we provide examples of CHH business rules that are often implicit and fragmented - understood and practiced by different domain experts across functional areas of the firm. This paper is intended to form a foundation for further research to systematically investigate, capture, and build a body of corporate householding knowledge across diverse business applications.
Actor networks and innovation activities among rural enterprises in a South African locality

Rural localities are often viewed as too remote, sparsely populated and poor in critical resources needed for them to be innovation hubs. This study contributes new evidence on how actor networks improve innovation performance among rural enterprises that are privately owned or are not-for-profit operators. We adopt an exploratory case study method to illustrate the channels of innovation know-how flows, the nature of actor networks, and their contribution to the ways in which new knowledge and practices promote or sustain local rural development.One key finding is that actor networks facilitate access to internal and external innovation know-how among rural enterprises. Another insight suggests that rural private and non-profit enterprises rely on face-to-face interactions with no contractual agreements. Furthermore, non-formal ways of sharing innovative ideas and practices frequently extend to rural actors who are considered to be outside a network.
PGAS Communication Runtime for Extreme Large Data Computation

For partitioned global address space (PGAS) runtimes, supporting out-of-core data computation is an important issue. Some researchers showed that flash SSDs are useful for out-of-core data computation.In this paper, we introduce ComEx-PM, a PGAS communication runtime. ComEx-PM supports out-of-core data computation using a flash SSD. ComEx-PM launched multiple processes in each node. Memory region of each process is swapped into a flash SSD if total size of the data is out-of-core.We adopted ComEx-PM into Global Arrays (GA), a PGAS runtime library. We executed two programs developed with GA. One program is a dense matrix-matrix multiplication (dgemm) program. The other program is a simple 2D stencil computation program. The dgemm program showed ComEx-PM could run the program with the same performance as the original GA. The stencil program illustrated the overhead of ComEx-PM and how to reduce it.
INVITED PAPER Psychometric sifting to efficiently select the right service employees

Purpose – Service employees in subordinate service roles are crucial for operational efficiency and service quality. However, the stressful nature of these roles, inappropriate hire selection, and the proliferation of job boards have created massive recruitment problems for HR departments. The purpose of this paper is to highlights the growing costs of recruiting the right candidates for service roles while offering an alternative approach to recruitment that is more efficient and effective than the traditional approach. Design/methodology/approach – The study offers empirical evidence of five instances in which the use of psychometric sifting procedures reduced recruitment costs, while improving the quality of the resultant hires. Findings – By standing the traditional recruitment process “on its head” and using psychometric tests at the start of the selection process, the recruitment process can be significantly improved. Such tests efficiently weed out unsuitable candidates before they even enter the recruitment process, leaving a smaller, better-qualified pool for possible recruitment. Practical implications – Firms can safely use the psychometric sifts to select applicants according to their operational efficiency, customer orientation, and overall performance. This paper illustrates the use of both traditional questionnaire measures and situational judgment tests to remove unsuitable applicants at the start of the selection process. A real-life case study suggests that such an approach increases the hiring success rate from 6:1 to 2:1. In the opening of a new supermarket by a UK group, this process saved 73,000 hours of managers’ time, representing $1.8 million savings in opening costs. Originality/value – The paper offers a viable cost-saving alternative to a growing problem for HR departments in service firms and provides directions for further research.
RDF dataset profiling - a survey of features, methods, vocabularies and applications

The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF datasets. This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets. While RDF datasets vary heavily with respect to the features related to quality, coverage, dynamics and currency, reliable information about such features is essential to enable dataset discovery in tasks such as entity linking, distributed query, search or question answering. Even though there exists a wealth of works contributing to the problem of dataset profiling in general, these works are spread across a wide range of communities. In this survey, we provide a first comprehensive survey of the RDF dataset profile features, methods, tools and vocabularies. We organize these building blocks of dataset profiling in a taxonomy and emphasize the links between the dataset profiling and feature extraction approaches and several application domains. The survey is aimed towards data practitioners, data providers and scientists, spanning a large range of communities and drawing from different fields such as dataset profiling, assessment, summarization and characterization. Ultimately, this work is intended to facilitate the reader to identify and locate the relevant features for building a dataset profile for intended applications together with the tools capable of extracting these features from the data.
Use of Ratings of Perceived Exertion to Anticipate Treadmill Test Termination in Patients Taking Beta-Blockers

This investigation identified a perceptually-based “warning zone” that can be used to anticipate termination of treadmill tests administered to individuals taking beta-blockers. The use of ratings of perceived exertion to anticipate test termination may be valuable given the attenuation of heart rate associated with the use of this class of medication. Sixteen men with coronary artery disease participated in this investigation. Ratings of perceived exertion (Borg 6–20 Scale) were estimated during the last 15 sec. of each minute of a progressively incremented treadmill test. Tests were terminated when participants indicated they were too fatigued to continue. The time-to-test termination was determined from the point that participants estimated a rating of 10, 11, 12, 13, 14, 15, 16, and 17 in order to determine the rating that was less than or equal to the time associated with a single exercise stage. A rating of 14 was associated with impending termination, which can be used as a “warning zone. ” The time to termination corresponding to a rating of 14 was 153.1 sec. (SD = 27.0). Participants exercised for 153.1 sec. (SE=27.0) after estimating a rating of 14. Once a rating of 14 is reached, volitional test termination will occur before the next exercise stage is completed.
Older Adults’ Perceptions of a Neckwear Health Technology

Many gerotechnology devices are intended to help older adults improve health self-management and maintain independence. By including older adults throughout the design process, health technologies can be designed to meet their unique needs and preferences. This study investigated older adults’ perceptions of prototypes for a Wireless Event detection and Adherence Monitoring System (WEAMS). The WEAMS is a neckwear technology that would have the capability to assist with managing medication, tracking activity levels, and detecting falls. Twelve older adults (Mage = 77.7; SD = 7.13; 9 female, 3 male) completed in-home interviews on wearable health technologies and evaluated three non-functioning WEAMS prototypes on various aspects of ease of use, comfort, and desirability. Participants preferred prototypes with discrete design features and that were easy to put on and take off. Open-ended participant comments revealed a strong preference for the system to blend in with the user’s attire and not draw unwanted attention. Moreover, this study found perceived need to be an important factor in older adults’ acceptance of the WEAMS. Findings from this study will guide the design of the WEAMS neckwear and future wearable health technologies.
Improving the Reliability of the K-Best algorithm for MIMO detection with ordering

It is well known that the order of the channel matrix columns has significant impact on a MIMO detector's performance in terms of the computational complexity, memory requirement, and/or the detection error rate. In our previous work, novel ordering schemes have been proposed to reduce the computational complexities and/or memory requirements of various maximum likelihood (ML) MIMO detectors. In this paper, we incorporate our ordering schemes with the K-Best detector, which is a near-ML detector and is particularly suitable for hardware implementation. Our simulation results show that our ordering schemes greatly improve the reliability of the K-Best detector. Given a fixed detection error rate, our ordering schemes either result in SNR gains or enable the usage of even smaller K, thereby leading to small area and power consumption and higher throughput for their hardware implementations.
Effect of Immobilized Nerve Growth Factor on Conductive Polymers: Electrical Properties and Cellular Response

The use of biologically active dopants in conductive polymers allows the polymer to be tailored for specific applications. The incorporation of nerve growth factor (NGF) as a co‐dopant in the electrochemical deposition of conductive polymers is evaluated for its ability to elicit specific biological interactions with neurons. The electrochemical properties of the NGF‐modified conducting polymers are studied by impedance spectroscopy and cyclic voltammetry. Impedance measurements at the neurobiologically important frequency of 1 kHz reveal that the minimum impedance of the NGF‐modified polypyrrole (PPy) film, 15 kΩ, is lower than the minimum impedance of peptide‐modified PPy film (360 kΩ). Similar results are found with NGF‐modified poly(3,4‐ethylene dioxythiophene) (PEDOT). The microstructure of the conductive polymer films is characterized by optical microscopy and electron microscopy and indicates that the NGF‐functionalized polymer surface topology is similar to that of the unmodified polymer film. Optical and fluorescence microscopy reveal that PC‐12 (rat pheochromacytoma) cells adhered to the NGF‐modified substrate and extended neurites on both PPy and PEDOT, indicating that the NGF in the polymer film is biologically active. Taken together these data indicate that the incorporation of NGF can modify the biological interactions of the electrode without compromising the conductive properties or the morphology of the polymeric film.
Precursors of Unethical Behavior in Global Supplier Management

SUMMARY A review of the literature suggests that unethical practices in buyer-supplier relationships are related to two broad categories of antecedents: (1) internal, organizational characteristics and (2) external, interorganizational characteristics. The author examines how these two sets of factors affect unethical behavior that may occur in the relationships of U.S. purchasing managers and their non-U.S. suppliers, through a combination of focus group and individual interviews and a mail survey that employs a dyadic methodology.
Biological nomenclature from Linnaeus to the PhyloCode

Linnaeus and other 18th Century naturalists practiced nomenclature in a way that associated taxon names more strongly with taxa (groups) than with the categorical ranks of the taxonomic (“Linnaean”) hierarchy. For those early naturalists, ranks functioned merely as devices for indicating hierarchical position that did not affect the application or spelling of taxon names. Consequently, taxa did not change their names simply because of changes in rank. For example, the name Reptilia did not change when the rank of the taxon designated by that name was changed from order to class. During the 19th Century, an alternative approach to nomenclature emerged that made rank assignment fundamental to the application and spelling of taxon names. Under this rank-based approach, which forms the basis of the current Zoological Code, names are implicitly defined in terms of ranks. As a consequence, names are more strongly associated with ranks than with taxa and thus taxa change their names simply because of changes in rank. For example, if the rank of the taxon Iguanidae is changed from family to superfamily, its name must change to Iguanoidea. A new approach to nomenclature, termed phylogenetic nomenclature, ties taxon names to explicitly evolutionary concepts of taxa through definitions that describe taxa in terms of ancestry and descent. This treebased approach to nomenclature once again associates taxon names more strongly with taxa than with ranks and thus represents a return to an approach similar to that practiced by Linnaeus and other early naturalists, updated with evolutionary principles.
Infrared dynamic hand gesture recognition based on Gabor feature and sparse representation

Dynamic hand gesture recognition is a subject which has been investigated almost from the beginning of using terminals to interact with the computer central unit. We present a method for dynamic hand gesture recognition with image source acquired by a single IR camera. First of all, the hand images are captured by one infrared camera, which are light independent, and not be limited by skin color. Second, due to the dynamic hand gesture sets contain more than one frame, the data dimension is very large and the adjacent frames have limited difference. We use the twofold selections to choose the key frames from the gesture image sets. The Gabor feature is used to describe the locality variation. And the Sparse representation based classification (SRC) is used for recognition. Experimental results on dynamic hand gesture images with variations of rotation and translation demonstrate the good performance of our method.
Integrating Probabilistic and Knowledge-based Approaches to Corpus Parsing

We have developed a prototype system for syntactic parsing of corpus text based on a wide-coverage unification-based grammar of English and domain-independent statistical techniques for selecting the most plausible parses from the typically large number licensed by the grammar. Although the results from initial experiments are promising, the system is ‘brittle’, relying particularly on the correctness and completeness of lexical entries. We are currently concentrating on parsing large amounts of tagged text with a relatively simple, but robust, grammar of tag sequences and punctuation. This grammar produces coarse phrasal analyses of sentences from which possible complementation patterns can be extracted, allowing omissions in the set of lexical entries to be remedied. 1 The Probabilistic LR Parsing System Briscoe & Carroll (1993) describe an approach to probabilistic parse selection using a large unification-based grammar of English. The grammar contains approximately 800 phrase structure rules written in the Alvey Natural Language Tools (ANLT) formalism (Briscoe et al. 1987), a syntactic variant of the Definite Clause Grammar formalism (Pereira & Warren 1980). The ANLT grammar has wide coverage and has been shown, for instance, to be capable of assigning a correct analysis to 96.8% of a corpus of 10,000 noun phrases extracted randomly from manually analysed corpora (Taylor, Grover & Briscoe 1989). The grammar is linked to a lexicon containing about 64,000 entries for 40,000 lexemes, including 1This research is supported in part by ESPRIT BRA 7315 ‘The Acquisition of Lexical Knowledge’ (ACQUILEX II).
Exploring Perceived Value and Usage of Information Systems in Government Context

The usage of information systems in government agencies is different to that in business. This study investigates the causal relationship of information systems (IS) usage from IS context to user's behavior in government settings. Through empirical survey, the relationship among subjective norm, perceived quality, perceived value, satisfaction and intention to use IS in government was examined. Analytical results indicate that user intention to use IS in government is markedly influenced by social value and functional value and not by conditional value. It is interesting to find that in government, in contrast to the business environment, users' intention to use IS does not count on their satisfaction.
An empirical analysis of the effects of human resource management practices on job satisfaction in non-profit

The purpose of this study is to establish a measurement scale for human resource management (HRM) practices in nonprofit organizations and to analyze their impact on the job satisfaction of their employees. The results demonstrate that 8 out of the 20 analyzed variables determine the measurement scale of HRM practices in these organizations. These variables are related to psychological demands, active work and development possibilities, social relations and leadership, and the degree of coherence in the organization with its principles. According to the results, these practices have an impact on job satisfaction in this type of nonprofit organization. The results are significant, given that these organizations employ 9-11.5% of the active population in European Union countries.