Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants Of The Successful Usage Of A Firm's Sns Page

This research-in-progress paper aims to investigate the determinants for the successful usage of social network services (SNS) from the perspective of a firm. A new type of commercial community operated by a firm in public SNS is defined as a firm’s SNS page and the success of encouraging users’ adoption and continued usage of a firm’s SNS page is further defined as SNS success. Based on solid theoretical foundation of communicative ecology theory, a conceptual research model of SNS success is proposed. It is composed of the content quality, service quality, and social interaction quality as antecedents. Among these elements, social interaction quality is newly developed to reflect the value of interaction among community members as a second-order variable which consists of exchange information, social support, and friendship. In addition, incentives and the network size are examined as moderating variables. After building the research model and hypotheses, the measurement scales and the results of a pilot study to verify the items are described. At the end of the paper, the conclusion and the expected contribution are discussed.
FONTAINE RINGS AND LOCAL COHOMOLOGYPAUL

1. Introduction In this paper we use Fontaine rings to study properties of local cohomology for rings of mixed characteristic. Fontaine rings, which we deene and discuss in more detail in Section 3, give a method of constructing a ring of positive characteristic from one of mixed characteristic in such a way that,
Prevention of contrast-induced nephropathy with sodium bicarbonate: a randomized controlled trial.

CONTEXT Contrast-induced nephropathy remains a common complication of radiographic procedures. Pretreatment with sodium bicarbonate is more protective than sodium chloride in animal models of acute ischemic renal failure. Acute renal failure from both ischemia and contrast are postulated to occur from free-radical injury. However, no studies in humans or animals have evaluated the efficacy of sodium bicarbonate for prophylaxis against contrast-induced nephropathy. OBJECTIVE To examine the efficacy of sodium bicarbonate compared with sodium chloride for preventive hydration before and after radiographic contrast. DESIGN, SETTING, AND PATIENTS A prospective, single-center, randomized trial conducted from September 16, 2002, to June 17, 2003, of 119 patients with stable serum creatinine levels of at least 1.1 mg/dL (> or =97.2 micromol/L) who were randomized to receive a 154-mEq/L infusion of either sodium chloride (n = 59) or sodium bicarbonate (n = 60) before and after iopamidol administration (370 mg iodine/mL). Serum creatinine levels were measured at baseline and 1 and 2 days after contrast. INTERVENTIONS Patients received 154 mEq/L of either sodium chloride or sodium bicarbonate, as a bolus of 3 mL/kg per hour for 1 hour before iopamidol contrast, followed by an infusion of 1 mL/kg per hour for 6 hours after the procedure. MAIN OUTCOME MEASURE Contrast-induced nephropathy, defined as an increase of 25% or more in serum creatinine within 2 days of contrast. RESULTS There were no significant group differences in age, sex, incidence of diabetes mellitus, ethnicity, or contrast volume. Baseline serum creatinine was slightly higher but not statistically different in patients receiving sodium bicarbonate treatment (mean [SD], 1.71 [0.42] mg/dL [151.2 [37.1] micromol/L] for sodium chloride and 1.89 [0.69] mg/dL [167.1 [61.0] micromol/L] for sodium bicarbonate; P =.09). The primary end point of contrast-induced nephropathy occurred in 8 patients (13.6%) infused with sodium chloride but in only 1 (1.7%) of those receiving sodium bicarbonate (mean difference, 11.9%; 95% confidence interval [CI], 2.6%-21.2%; P =.02). A follow-up registry of 191 consecutive patients receiving prophylactic sodium bicarbonate and meeting the same inclusion criteria as the study resulted in 3 cases of contrast-induced nephropathy (1.6%; 95% CI, 0%-3.4%). CONCLUSION Hydration with sodium bicarbonate before contrast exposure is more effective than hydration with sodium chloride for prophylaxis of contrast-induced renal failure.
Robust stability/performance analysis for uncertain linear systems via multiple slack variable approach: Polynomial LTIPD systems

This paper addresses robust stability, H 2 performance, and H infin performance analysis for linear time-invariant parameter-dependent (LTIPD) systems, in which the state-space matrices are polynomially parameter-dependent, using polynomially parameter-dependent Lyapunov functions (PDLFs). Our results are derived via multiple "slack variable" approach, which has previously been proposed for the non- negativity check of polynomial functions and it has been proved that the conservatism is no more than SOS approach. Our derived conditions are only sufficient conditions for the original problems; however, they encompass the previously proposed methods using single slack variables. We illustrate the effectiveness of our methods with randomly generated numerical examples compared to the methods using single slack variables.
An Inquiry-Based Approach to Critical Literacy: Pedagogical Nuances of a Second Grade Classroom.

This case study explores the pedagogy and practices of an elementary school teacher who combines inquiry pedagogy and critical literacy. The authors gathered data for this analysis by conducting two interviews with a classroom teacher and observing classroom practices 12 times over a 6 month period. Through a general inductive approach to analysis, trends emerged that showed the classroom teacher used practices that combined traditional inquiry pedagogy for critical literacy development. This research provides insight into how this elementary teacher negotiated and connected inquiry to critical literacy. Furthermore, the findings can inform scholars and teacher educators of successful teaching strategies as they prepare future generations of elementary teachers. Cette etude de cas explore la pedagogie et les pratiques d’une enseignante a l’elementaire qui allie pedagogie d’enquete et litteratie critique. La cueillette de donnees s’est faite par deux entrevues aupres d’une enseignante titulaire et douze observations en salle au cours de six mois. Une approche inductive a l’analyse a revele des tendances indiquant que l’enseignante employait des pratiques qui integrent une pedagogie d’enquete traditionnelle au developpement de competences essentielles a la litteratie. Cette recherche donne un apercu des demarches de l’enseignante pour negocier et lier enquete et litteratie. De plus, les resultats presentent aux chercheurs et aux formateurs d’enseignants des strategies pedagogiques efficaces et fructueuses dont peuvent profiter les generations futures d’enseignants a l’elementaire.
SUB-PIXEL UNPAVED ROADS DETECTION IN LANDSAT IMAGES

Unpaved roads are one of the most relevant causes of erosion process in rural regions. Locating unpaved roads in low-resolution satellite images is not a trivial task. Although they have the spectral response of bare soil, their spatial width is often far below the pixel size. Therefore, the pixels crossed by unpaved roads have a different spectral response over the scene depending on the surrounding pixels. In this work, a new method to detect sub-pixel unpaved roads is proposed. The method tries to emulate the human ability to detect such roads in spite of all appointed aspects, by searching for long, narrow and smooth line segments whose spectral response are closer to the bare soil than the surrounding pixels. The method performance is evaluated on segments of Landsat scenes (bands 3, 4 and 5) of the Alcinópolis County, located in the State of South Mato Grosso in Brazil.
Formal design of an asynchronous DSP counterflow pipeline: a case study in handshake algebra

Two recent developments in asynchronous circuit design are explored by means of a case study (polynomial division) in digital signal processing. The first development is a new formal method, the handshake algebra of M.B. Josephs, J.T. Udding and J.T. Yantchev (1993), that is suitable for specifying, deriving, and verifying circuits that follow a handshaking protocol. The second development is an architecture, counterflow pipelines, that R.F. Sproull (1994) has recently suggested, which is attractive to implement asynchronously.
Pengaruh Kepercayaan dan Kualitas Pelayanan terhadap Kepuasan Konsumen pada Hotel Griptha Kudus

ABSTRACT: Formulation of the problem in this research were 1) whether there is influence between the trust and service quality partially to wards consumer satisfaction at Hotel Griptha Kudus? 2) whether there is influence between the trust and service quality in a multiple of customer satisfaction at Hotel Griptha Kudus? The goal of this research are 1) to examine the influence of trust and service quality partially towards consumer satisfaction at Hotel Griptha Kudus. 2) to examine the influence of trust and service quality in a multiple of customer satisfaction at Hotel Griptha Kudus. With the resullts of this research as follows: (1). In partial trust (X1) and the quality of service (X2), proved to have positive and significant influence on consumer satisfaction (Y) it is shown from the results of t test which turned out t value : variable 10,386 and 6.808 greater than the value 1.658 t table then the t is located in the region rejected ( Ho), meaning that null hypothesis (H0) is rejected and the alternative hypothesis (HA) is accepted so all the hpotheses in this study partially proved to have significant influence on consumeer satisfaction variables. (2). In multiple variable trust (XI)and the quality of servise (X2) proved to have significant influence on consumer satisfaction variables. This is evidenced from the comparison of the value of count = 203.684 is greater than F table = 5.18. ABSTRAK: Perumusan masalah dalam penelitian ini adalah 1) apakah ada pengaruh antara kepercayaan dan kualitas pelayanan secara parsial terhadap kepuasan konsumen pada Hotel Griptha Kudus ? 2) apakah ada pengaruh antara kepercayaan dan kualitas pelayanan secara berganda terhadap kepuasan konsumen pada Hotel Griptha Kudus? Tujuan yang ingin dicapai dalam penelitian ini adalah 1) untuk menguji pengaruh antara kepercayaan dan kualitas pelayanan secara parsial terhadap kepuasan konsumen pada Hotel Griptha Kudus. 2) untuk menguji pengaruh antara kepercayaan dan kualitas pelayanan secara berganda terhadap kepuasan konsumen pada Hotel Griptha Kudus. Dengan hasil penelitian sebagai berikut ini : 1). Secara parsial kepercayaan (X1) dan kualitas pelayanan (X2), terbukti memiliki pengaruh positif dan signifikan terhadap kepuasan konsumen (Y) hal ini ditunjukkan dari hasil uji t yang ternyata nilai t hitung masing – masing variabel 10,386 dan 6,808 lebih besar jika dibandingkan dengan nilai t tabel 1,658, maka t hitung terletak di daerah tolak (Ho), artinya hipotesis nihil (H0) ditolak dan hipotesis alternatif (HA) diterima. Jadi seluruh hipotesis yang diajukan dalam penelitian ini secara parsial terbukti memiliki pengaruh yang signifikan terhadap variabel kepuasan konsumen. 2). Secara berganda variabel kepercayaan (X1) dan kualitas pelayanan (X2) terbukti memiliki pengaruh yang signifikan terhadap variabel kepuasan konsumen. Hal ini dibuktikan dari hasil perbandingan nilai dari F hitung = 203,684 lebih besar jika dibandingkan dengan F tabel = 5,18.
SA-ANN-Based Slag Carry-Over Detection Method and the Embedded WME Platform

Slag carry-over detection technology (SCDT) is of important significance for steel continuous casting production (CCP), but has the problems with manufacture cost, service life, installation, and maintenance. Aiming at the problems, this paper brings forward a novel vibration style SCDT realization method based on simulated annealing artificial neural network (SA-ANN). According to ladle pouring process, the vibration signal of steel stream is regarded as the target signal for SCDT. Then, the time point of slag carry-over can be obtained in light of the vibration amplitude difference of pure molten steel and steel slag. Based on the fluid flow similarity principles, an embedded water model experiment (WME) platform is established. The WME platform can simulate the physical process of ladle pouring, reduce the system debugging time under formidable CCP field conditions, and improve the industrial suitability of SCDT. Using an improved SA-ANN algorithm, the status of steel stream is identified to realize automatic control for ladle pouring. WME simulated test results show that the slag detection accuracy (SDA) of this method can reach more 99%. CCP industrial field experiment proves that this method requires low cost and little rebuilding for the current CCP devices, and the practical SDA can reach more 96%.
Novel technologies and an overall strategy to allow hazard assessment and risk prediction of chemicals, cosmetics, and drugs with animal-free methods.

Several alternative methods to replace animal experiments have been accepted by legal bodies. An even larger number of tests are under development or already in use for non-regulatory applications or for the generation of information stored in proprietary knowledge bases. The next step for the use of the different in vitro methods is their combination into integrated testing strategies (ITS) to get closer to the overall goal of predictive "in vitro-based risk evaluation processes. " We introduce here a conceptual framework as the basis for future ITS and their use for risk evaluation without animal experiments. The framework allows incorporation of both individual tests and already integrated approaches. Illustrative examples for elements to be incorporated are drawn from the session "Innovative technologies" at the 8th World Congress on Alternatives and Animal Use in the Life Sciences, held in Montreal, 2011. For instance, LUHMES cells (conditionally immortalized human neurons) were presented as an example for a 2D cell system. The novel 3D platform developed by InSphero was chosen as an example for the design and use of scaffold-free, organotypic microtissues. The identification of critical pathways of toxicity (PoT) may be facilitated by approaches exemplified by the MatTek 3D model for human epithelial tissues with engineered toxicological reporter functions. The important role of in silico methods and of modeling based on various pre-existing data is demonstrated by Altamira's comprehensive approach to predicting a molecule's potential for skin irritancy. A final example demonstrates how natural variation in human genetics may be overcome using data analytic (pattern recognition) techniques borrowed from computer science and statistics. The overall hazard and risk assessment strategy integrating these different examples has been compiled in a graphical work flow.
Pacific Asia Conference on Information Systems ( PACIS ) 2010 Exploiting Emotions in Social Interactions to Detect Online Social Communities

The rapid development of Web 2.0 allows people to be involved in online interactions more easily than before and facilitates the formation of virtual communities. Online communities exert influence on their members’ online and offline behaviors. Therefore, they are of increasing interest to researchers and business managers. Most virtual community studies consider subjects in the same Web application belong to one community. This boundary-defining method neglects subtle opinion differences among participants with similar interests. It is necessary to unveil the community structure of online participants to overcome this limitation. Previous community detection studies usually account for the structural factor of social networks to build their models. Based on the affect theory of social exchange, this research argues that emotions involved in social interactions should be considered in the community detection process. We propose a framework to extract social interactions and interaction emotions from user-generated contents and a GN-H co-training algorithm to utilize the two types of information in community detection. We show the benefit of including emotion information in community detection using simulated data. We also conduct a case study on a real-world Web forum dataset to exemplify the utility of the framework in identifying communities to support further analysis.
A new support vector machine for microarray classification and adaptive gene selection

This paper presents a new support vector machine for simultaneous gene selection and microarray classification. By introducing the adaptive elastic net penalty which is a convex combination of weighted 1-norm penalty and weighted 2-norm penalty, the proposed support vector machine can encourage an adaptive grouping effect and reduce the shrinkage bias for the large coefficients. According to a reasonable correlation between the two regularization parameters, the optimal coefficient paths are shown to be piecewise linear and the corresponding solving algorithm is developed. Experiments are performed on leukaemia data that verify the research results.
Row-based effect types for database integration

We present CoreLinks, a call-by-value variant of System F with row polymorphism, row-based effect types, and implicit subkinding, which forms the basis for the Links web programming language. We focus on extensions to CoreLinks for database programming. The effect types support abstraction over database queries, while ensuring that queries are translated predictably to idiomatic and efficient SQL at run-time. Subkinding statically enforces the constraint that queries must return a list of records of base type. Polymorphism over the presence of record labels supports abstraction over database queries, inserts, deletes and updates.
Cardiovascular risk factors and metabolic syndrome in people with established psychotic illnesses: baseline data from the IMPaCT randomized controlled trial

Background The aims of the study were to determine the prevalence of cardiometabolic risk factors and establish the proportion of people with psychosis meeting criteria for the metabolic syndrome (MetS). The study also aimed to identify the key lifestyle behaviours associated with increased risk of the MetS and to investigate whether the MetS is associated with illness severity and degree of functional impairment. Method Baseline data were collected as part of a large randomized controlled trial (IMPaCT RCT). The study took place within community mental health teams in five Mental Health NHS Trusts in urban and rural locations across England. A total of 450 randomly selected out-patients, aged 18–65 years, with an established psychotic illness were recruited. We ascertained the prevalence rates of cardiometabolic risk factors, illness severity and functional impairment and calculated rates of the MetS, using International Diabetes Federation (IDF) and National Cholesterol Education Program Third Adult Treatment Panel criteria. Results High rates of cardiometabolic risk factors were found. Nearly all women and most men had waist circumference exceeding the IDF threshold for central obesity. Half the sample was obese (body mass index ≥ 30 kg/m2) and a fifth met the criteria for type 2 diabetes mellitus. Females were more likely to be obese than males (61% v. 42%, p < 0.001). Of the 308 patients with complete laboratory measures, 57% (n = 175) met the IDF criteria for the MetS. Conclusions In the UK, the prevalence of cardiometabolic risk factors in individuals with psychotic illnesses is much higher than that observed in national general population studies as well as in most international studies of patients with psychosis.
Exploring the Use of Diverse Replicas for Big Location Tracking Data

The value of large amount of location tracking data has received wide attention in many applications including human behavior analysis, urban transportation planning, and various location-based services (LBS). Nowadays, both scientific and industrial communities are encouraged to collect as much location tracking data as possible, which brings about two issues: 1) it is challenging to process the queries on big location tracking data efficiently, and 2) it is expensive to store several exact data replicas for fault-tolerance. So far, several dedicated storage systems have been proposed to address these issues. However, they do not work well when the query ranges vary widely. In this paper, we present the design of a storage system using diverse replica scheme which improves the query processing efficiency with reduced cost of storage space. To the best of our knowledge, we are the first to investigate the data storage and processing in the context of big location tracking data. Specifically, we conduct in-depth theoretical and empirical analysis of the trade-offs between different spatio-temporal partitioning schemes as well as data encoding schemes. Then we propose an effective approach to select an appropriate set of diverse replicas, which is optimized for the expected query loads while conforming to the given storage space budget. The experiment results confirm that using diverse replicas can significantly improve the overall query performance. The results also demonstrate that the proposed algorithms for the replica selection problem is both effective and efficient.
DSL Shared Task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation–Maximization and Chunk-based Language Model

In this paper we investigate two approaches to discrimination of similar languages: Expectation–maximization algorithm for estimating conditional probability P(word|language) and byte level language models similar to compression-based language modelling methods. The accuracy of these methods reached respectively 86.6% and 88.3% on set A of the DSL Shared task 2016 competition.
An ACO-LB Algorithm for Task Scheduling in the Cloud Environment

In the face of a large number of task requests which are submitted by users, the cloud data centers need not only to finish these massive tasks but also to satisfy the user's service demand. How to allocate virtual machine reasonably and schedule the tasks efficiently becomes a key problem to be solved in the cloud environment. This paper proposes a ACO-LB(Load balancing optimization algorithm based on ant colony algorithm) algorithm to solve the load imbalance of virtual machine in the process of task scheduling . The ACO-LB algorithm can adapt to the dynamic cloud environment. It will not only shorten the makespan of task scheduling, but also maintain the load balance of virtual machines in the data center. In this paper, the workflow scheduling is simulated in CloudSim. The results show that the proposed ACO-LB algorithm has better performance and load balancing ability.
Therapy with CD7 monoclonal antibody TH‐69 is highly effective for xenografted human T‐cell ALL

Human T‐cell acute lymphocytic leukaemia (ALL) was established in athymic nude or severe combined immunodeficient (SCID) mice by injecting CEM or MOLT‐16 cells. When nude mice bearing approx. 2 g of tumour were treated with a single injection of CD7 antibody TH‐69, 82.6% reached complete remission within 10 d whereas 13.0% showed partial remission. Similarly, in SCID mice with advanced disease a significant prolongation of survival was seen. The therapeutic effects were dependent upon dose and affinity of the antibody. TH‐69 is a high‐affinity antibody (7.6 × 109 M−1) that rapidly induced modulation during treatment. The Fc‐portion of the antibody was required for effective tumour cell killing. Complement deposition was found on tumour sections after TH‐69 treatment and in part may account for tumour destruction. There was no evidence for antibody‐dependent cellular cytotoxicity (ADCC). The kinetics of tumour disappearance suggested the initiation of a programmed cell death (PCD), despite the lack of significant DNA fragmentation. Unmodified high‐affinity antibodies to the T‐cell antigen CD7 have potential for T‐cell ALL therapy.