Miracle-dz/UniFAR-FTUs huggingface dataset:
An Empirical Investigation Of How To Increase User Engagement On Facebook Business Pages

With the raging trend of networking on social networking sites such as Facebook, almost all businesses are trying to reach their consumers using the social networking site. One way of promoting a company's products and services is by increasing the number of its Facebook page followers. We have studied DeLone & McLean’s model of IS success and have adapted it to the scenario of social networking sites, focusing particularly on Facebook. We have taken into consideration the dimensions of information quality and service quality and have studied their impact on consumer engagement and brand advocacy i.e. word of mouth. The proposed model provides quality dimensions that are hypothesized to influence consumer behavior in terms of their engagement and opinion giving. Results show that dimensions of information quality and service quality are important factors in molding consumer behavior accordingly and they partially effect consumer engagement which leads to brand advocacy.
Identifying EV drivers ʼ needs for information communication technology to ease the EV charging process

Known barriers of Electric Vehicles (EVs) include their limited range and, to some extent, the underdeveloped charging infrastructure. This position paper presents initial results from a field study investigating the experience of EV drivers who are supported by a newly developed charging concept (ELVIIS) consisting of a web, smartphone and in-vehicle application. By connecting power grid owner with the telecom and vehicle industry such a solution can be achieved. Presented are the self-reported experiences of 11 EV drivers using Volvo C30 electric, captured via open-ended interviews after the completion of the trail. Highlighted are the user needs for information communication technology (ICT), in particular remote access. It should be noted that the ELVIIS charging concept is used in this position paper as an example to illustrate the need of ICT (e.g., remote access) rather than an evaluation of the overall ELVIIS concept. Further analysis will be performed to evaluate the concept in detail.
Conceptual Modeling of Business Networks and Business Strategies

The sophistication of technical and organizational networking enables not only a broader range of business networks and business strategies, but also allows for their faster adaptation to innovations. By increasing the degree of formalization of strategy modeling, model consistency can be enhanced and specifications can be reused in subsequent business engineering phases like process (re-)design and information systems development. Modeling techniques for business network specification and business strategy specification are outlined and notations are presented. Experience from applying these techniques in financial service companies is summarized.
Short-term breakdown and long-term failure in nanodielectrics: a review

Nanodielectrics, which are concentrated in polymer matrix incorporating nanofillers, have received considerable attention due to their potential benefits as dielectrics. In this paper, short-term breakdown and long-term failure properties of nanodielectrics have been reviewed. The characteristics of polymer matrix, types of nanoparticle and its content, and waveforms of the applied voltage are fully evaluated. In order to effectively comment on the published experimental data, a ratio k has been proposed to compare the electric properties of the nanodielectrics with the matrix and assess the effect for nanoparticles doping. There is evidence that the short-term breakdown properties of nanodielectrics show a strong dependence on the applied voltage waveforms. The polarity and the cohesive energy density (CED) of polymer matrix have a dramatic influence on the properties of nanodielectrics. Nanoparticle doped composites show a positive effect on the long-term failure properties, such as ageing resistance and partial discharge (PD) properties of nanocomposites are superior than microcomposites and the matrix. The larger the dielectric constant and CED of the matrix become, the more significant improvements in long-term performance appear. Based on the reported experimental results, we also present our understandings and propose some suggestions for further work.
THE EXTREME-ULTRAVIOLET EMISSION FROM SUN-GRAZING COMETS

The Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory has observed two Sun-grazing comets as they passed through the solar atmosphere. Both passages resulted in a measurable enhancement of extreme-ultraviolet (EUV) radiance in several of the AIA bandpasses. We explain this EUV emission by considering the evolution of the cometary atmosphere as it interacts with the ambient solar atmosphere. Molecules in the comet rapidly sublimate as it approaches the Sun. They are then photodissociated by the solar radiation field to create atomic species. Subsequent ionization of these atoms produces a higher abundance of ions than normally present in the corona and results in EUV emission in the wavelength ranges of the AIA telescope passbands.
Genetic interaction among three genomic regions creates distinct contributions to early‐ and late‐onset type 1 diabetes mellitus

Abstract: There are two peaks in the distribution of the age of onset of type 1 diabetes mellitus (T1DM) – the first in early childhood and the second at the time of puberty. Although T1DM results from the interaction of genetic and non‐genetic factors, it has not been established which factors contribute to the bimodal distribution. The genetic component of T1DM is in large part related to genes from the human leukocyte antigen (HLA) complex (IDDM1); however, loci from the variable nucleotide tandem repeat (VNTR) region of the insulin (INS) gene (IDDM2) and more recently, the cytotoxic T‐lymphocyte‐associated protein‐4 region (CTLA4, IDDM12) have also been implicated. Therefore, we examined the potential interaction between these loci through the influence of the age of onset of T1DM in diabetic and control Caucasian individuals. We discovered that younger individuals with HLA‐DRB1*0301/DRB1*04 and INS I/I genotypes exhibited increased susceptibility to T1DM, whereas the interaction of INS I/I and CTLA4 G/G genotypes was more common in older children with T1DM. Combining the age of onset of T1DM with specific genotypes may operate to produce a single disease through different underlying causes.
Peptic Ulcer Disease in CHUYO

Background: Prevalence of Peptic Ulcer Disease (PUD) is decreasing in developed countries since the use of the treatments for eradication of Helicobacter pylori. Objectives: To revalue the sociodemographic, clinical and evolutionary aspects of the PUD among hospitalized patients in CHUYO. Methodology: This prospective study is related to 65 files of patients hospitalized in hepato-gastroenterology and general surgical services of the CHUYO between March 1st and August 31st, 2015. Results: Hospital utilization rate was 6.59%. The average age of patients was 40.6 years with extremes of 17 and 80 years. The sex ratio was 9.8. The location of the ulcer was 69.23% in stomach. A notion of taking aggressive gastrointestinal products was found in 62 patients (95.4%). The clinical picture was represented by diffuse abdominal pain (76.92%), peritoneal irritation syndrome (64.61%) and epigastric pain (56.92%), anemia (23.07%). Gastric perforations (64.61%) and gastrointestinal bleeding (12.30%) were the main complications. Consumption of non-steroidal anti-inflammatory drugs (NSAIDs) was found in 81.5% of cases. The management was medical and/or surgical with an overall mortality rate of 7.7%. Conclusion: The PUD rate decreased from 10.12% to 6.59% in 5 years. The complications are dominated by stomach perforations. They are relative increase and seem related to NSAIDs. Better management of this disease requires awareness of the population to self-medication.
Structure adaptation of multi-layer perceptron network for on-line system identification

Abstract Identification of nonlinear systems by a neural network is treated. The paper deals with a design of a suitable neural network structure to approximate a nonlinear function of the identified system. Contrary to the recent algorithms, the proposed structure adaptation algorithm can be applied on-line during the identification process. The designed algorithm consist of a statistical test for making decision about suitability of an a priori chosen network and then either a growing or a pruning according to the size of the network is applied. The acceptance or rejection of the model is realized by application of the statistical cumulative sum test from the decision making field. The growing part of the algorithm repeatedly utilizes principle of the learning methodology for detecting faults in nonlinear dynamical systems for adding neurons to the hidden layer. Finally, the pruning algorithm is based on a measure of sensitivity of the model output error to the removing of the network connections. The properties of the proposed structure adaptation algorithm are illustrated in a numerical example.
A new approach to the variable selection using the TLS approach

The problem of variable selection is one of the most pervasive model selection problems in statistical applications. It arises when one wants to explain the observations or data adequately by a subset of possible regression variables. The objective is to identify factors of importance and to include only variables that contribute significantly to the reduction of the prediction error. Numerous selection procedures have been proposed in the classical multiple linear regression model. We extend one of the most popular methods developed in this context, the backward selection procedure, to a more general class of models. In the basic linear regression model, errors are present on the observations only, if errors are present on the regressors as well, one gets the errors-in-variables model which for Gaussian noise becomes the total-least-squares model, this is the context considered here.
Neighborhood Level Error Control Codes for Multi-Level Cell Flash Memories

SUMMARY NAND Flash memories are widely used as data storages today. The memories are not intrinsically error free because they are affected by several physical disturbances. Technology scaling and introduction of multi-level cell (MLC) has improved data density, but it has made error e ﬀ ect more signiﬁcant. Error control codes (ECC) are essential to improve reliability of NAND Flash memories. E ﬃ ciency of codes depends on error characteristic of systems, and codes are required to be designed to reﬂect this characteristic. In MLC Flash memories, errors tend to direct values to neighborhood. These errors are a class of M -ary asymmetric symbol error. Some codes which reﬂect the asymmetric property were proposed. They are designed to correct only 1 level shift errors because almost all of the errors in the memories are in such errors. But technology scaling, increase of program / erase (P / E) cycles, and MLC storing the large number of bits can cause multiple-level shift. This paper proposes single error control codes which can correct an error of more than 1 levels shift. Because the number of levels to be corrected is selectable, we can ﬁt it into noise magnitude. Furthermore, it is possible to add error detecting function for error of the larger shift. Proposed codes are equivalent to a conventional integer codes, which can correct 1 level shift, on a certain parameter. Therefore, the codes are said to be generalization of conventional integer codes. Evaluation results show information lengths to respective check symbol lengths are larger than nonbinary Hamming codes and other M -ary asymmetric symbol error correcting codes.
3D assembly and simulation of helical optical antenna-enhanced carbon nanotube IR sensors

This paper reports the integration of the helical nanobelts (HNBs) onto carbon nanotube (CNT)-based infrared (IR) sensors to enhance their sensitivity by improving the fill factor. The repeatable and controllable assembly process is achieved by employing nanorobotic manipulation. The enhancement after integration is confirmed by the electromagnetic simulation. Based on the simulation result, the integration of HNB antenna can increase the local electric field by 58 folds, which makes the CNT-based IR sensors an ideal candidate for non-cryogenic highly sensitive IR detection.
Momentum and Autocorrelation in Stock Returns

This article studies momentum in stock returns, focusing on the role of industry, size, and book-to-market (B-M) factors. Size and B-M portfolios exhibit momentum as strong as that in individual stocks and industries. The size and B-M portfolios are well diversified, so momentum cannot be attributed to firm- or industry-specific returns. Further, industry, size, and B-M portfolios are negatively autocorrelated and cross-serially correlated over intermediate horizons. The evidence suggests that stocks covary "too strongly" with each other. I argue that excess covariance, not underreaction, explains momentum in the portfolios. Copyright 2002, Oxford University Press.
快乐的开发——Robert C. Martin

软件业的资深人士们在为三十之痒而悸动不安的时候，在软件开发领域拥有40余年软件经验响当当的人物，Robert Cecil Martin却依然对编程痴狂如初：“软件是我的挚爱，仅次于我的家庭。 ”
Absolute quantitation of viremia in human immunodeficiency virus infection by competitive reverse transcription and polymerase chain reaction

A competitive polymerase chain reaction (PCR)-based assay for the quantitative detection of human immunodeficiency virus type 1 (HIV-1) viremia was developed and optimized. This method consists of the reverse transcription and subsequent amplification in the same tube of two similar RNA templates, the wild-type template to be quantified and a known amount of the internally deleted synthetic template, both with identical primer recognition sites. The same strategy also proved to be useful in the quantitative assay of HIV-1-specific cellular transcripts and proviral DNA sequences from peripheral blood mononuclear cells by using competitor DNA. The method might be of interest in the study of the precise level of HIV-1 activity during the different clinical phases of the infection and in the simple, fast, and methodologically correct molecular investigation of patients treated with specific antiviral compounds.
Protocol for trusted channel based on portable trusted module

Web-based e-commerce applications need a trusted channel, which provides confidential communication, identity authentication and integrity assurance of endpoints, to guarantee the security of electronic transactions. A user-oriented trusted computing system based on Portable Trusted Module (PTM) is presented. Remote attestation is incorporated into Transport Layer Security (TLS) handshake protocol based on PTM so as to establish a trusted channel between two endpoints in network. This protocol can resist masquerading, trusted path and runtime attacks and propagate the trust in the computing system to the end user effectively. The test results of our proof-of-concept prototype show that our protocol for trusted channel is feasible for deployment in e-commerce applications on the Internet.
Crosstalk analysis in complex aeronautical bundle

An analysis of crosstalk inside a complex aeronautical bundle from an experimental and from a numerical point of view is proposed. The numerical model is built as a succession of uniform transmission lines generated randomly. Modeling of the geometrical pattern of twisted pairs is included. Crosstalks between these twisted pairs and single wires inside the bundle are measured and computed. In order to save computation time, a simplified model of the bundle is developed and validated.
Randomly Timed Gated Queueing Systems

Timers are used as a control mechanism to constrain the service periods in various telecommunication networks. In this paper we introduce and analyze a general family of timer-type models, called Randomly Timed Gated (RTG) queueing systems, which, in addition, extends and generalizes the family of M/G/1-type queues with server intermissions. The control mechanism is such that, whenever the server reenters the system, an exponential Timer T is activated. If the server empties the queue before the Timer's expiration, it immediately leaves for another intermission. Otherwise (if the Timer expires when there is still work in the system), the server obeys one of the following rules, each leading to a different model: (1) The server completes all the work accumulated up to time T, and leaves. (2) The server completes only the service of the job currently being served, and leaves. (3) The server leaves immediately. Consequently, the RTG queue forms a unified structure for a vast collection of timer-type models: .
A new water treeing model

A new model for water treeing in polyethylene is introduced. It assumes that when the field-induced stress applied on nano-cavities filled with a liquid is larger than the yield strength of the polymer, bonds will be broken and the nanocavity will expand. The growth of the water trees is enhanced by the fatigue induced by the alternating electric field . This is supported by the fact that all published water-tree length results (whatever the field, frequency or solution) vary linearly with the number of field cycles when plotted on a log-log scale. The diffusion of the liquid is also a parameter affecting the water-tree length and it is included in our model. A simple equation relating the water-tree length with field, time, frequency, and the nature of the solution is presented. A very good agreement between theory and experiments for a wide variety of results obtained with LDPE tested under various fields, frequencies and ionic solutions is observed. This model also predicts the growth of water trees under dc fields after very long times or after many polarity reversals.
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments

We present a new framework for evaluating extractive summarizers, which is based on a principled representation as optimization problem. We prove that every extractive summarizer can be decomposed into an objective function and an optimization technique. We perform a comparative analysis and evaluation of several objective functions embedded in well-known summarizers regarding their correlation with human judgments. Our comparison of these correlations across two datasets yields surprising insights into the role and performance of objective functions in the different summarizers.
How Does Migraine Attack Stop?

A particular feature of migraine attacks is that they may occur, or cease, independently of any identifiable external, tissuedamaging event. Indeed, headaches do not fit with the classical statement related to exteroception, viz. that “injury generates pain and pain implies injury. ” Migraine pain relates to body feelings such as hunger, thirst or nausea, but we are unaware of the actual nature of the stimulus and have no clue as to its origin. In contrast, when we perceive an event from the outside world, we are able to describe many properties of the event even if it is totally novel. A relevant feature of body feelings is that they are linked to predictable behaviors (drives), whereas the detection of an external event is usually not predictable. With the aim of producing an answer for such a dichotomy, P.D. Wall (see also Craig) proposed that “Pain is taken not as a simple sensory experience signaling the existence of damaged tissue and would join sensations such as hunger, thirst and itch, which are best defined as needs that signify the next most probable action. ” The sensory pathways that convey meningeal inputs simultaneously collect information from many sources. This basic somesthetic activity is not only relevant for signaling migraine but could have a role in the continual transmission of information relevant to the integrity of craniofacial tissues. This information is being constantly selected and modulated in the context of producing an appropriate response. Under normal circumstances, medullary trigeminovascular neurons convey a variety of signals originating either from the external environment through the skin or the internal milieu through the meninges. These neurons send inputs necessary for homeostatic regulation to bulbar and telencephalic regions that in turn enhance or reduce the activity of trigeminovascular neurons. Migraine headaches may depend on homeostatic dysfunctions elicited by changes in activities because of abnormal excitability phenotypes of restricted areas of the central nervous system in genetically susceptible individuals. Accordingly, corticofugal projections can modulate inputs from meningeal nociceptors via topographically organized projections to trigeminovascular medullary neurons in a modality-specific manner by enhancing or depressing only Ad and C-fiber inputs. If one considers pain as a drive, then migraine could naturally stop in time under the pressure of our body feelings. “Just as hunger is associated with the search for food and eating, it is proposed that pain is associated with the search for treatment and optimal conditions for recovery. ”
DISTANCE LEARNING AND E-LEARNING IN ART EDUCATION

The term e-learning refers to education through computer and its periphery, mostly through the Internet, but also to education in the process of which CDs, DVDs and even mobile phones are used. E-learning, as well as correspondence courses, belongs to the didactic model of distance learning. Learning through computer also belongs to the method of programmed learning, where the use of technology is aimed at making the teaching process more objective. Dividing the learning process into small steps with tasks and offering feedback helps self-education. The paper presents various examples of e-learning in the field of art education online, but also through the use of CDs and DVDs. The conclusion is that this model of teaching appeals to a greater number of users than the voice of a teacher or textbooks, and highlights art theory aspect of teaching. On the other hand, this model is not suitable for an independent study of art.
Seasonal Course of the Spectral Properties of Alder and Birch Leaves

To interpret time series of hyperspectral measurements of vegetation canopies, the basic characteristics of the scattering elements forming these canopies-shoots, leaves, or needles-must be known. Unfortunately, data on the seasonal variation of leaf reflectance and transmittance are very scarce. To obtain a ground truth dataset applicable to modeling the phenological development of European (hemi)boreal forests, we measured the spectral properties of green leaves of two species common to this biome, gray alder (Alnus incana), and silver birch (Betula pendula). Measurements covered the full growing season of 2008 in Tõravere, Estonia. Leaves were sampled from sunlit locations and measured in a laboratory using an integrating sphere and a VNIR spectroradiometer. We measured four different optical parameters: directional-hemispherical reflectance and transmittance factors for leaf adaxial and abaxial surfaces. Leaf reflectance was used to calculate four leaf-level indices which, according to literature, are highly correlated with leaf chlorophyll content. Additionally, we calculated the derivative spectra of leaf reflectance in the red edge (RE) spectral region and fitted it with two Gaussian curves. Our analysis indicated continuous changes of leaf optical properties almost until the end of the growing season. The changes in the weights of the two Gaussian curves led to an effect known as peak jump, an abrupt shift in the RE inflection point. In near infrared (NIR), leaf absorption was negligible in the beginning of the growing period. However, we noted a slow but steady increase in the leaf NIR absorption with time.