Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH CITRA MEREK DESTINASI TERHADAP KEPUTUSAN BERKUNJUNG DAN KEPUASAN PENGUNJUNG SERTA DAMPAKNYA PADA MINAT KUNJUNG ULANG (Survei pada Pengunjung Taman Rekreasi Selecta Kota Batu yang termasuk dalam Kategori Generasi Millennial)

This study aims to examine the perception of millennial generation on the influence of destination brand image to visit decision, visitor satisfaction, and interest to revisit . T his study is an explanatory research with quantitative approach. Samples were taken as many as 120 visitors of recreational park of selecta which is categorized as millennial generation. This research uses path analysis as a tool for analyzing collected data. The result showed that all variables have significant influence either directly or indirectly through the intermediate variable s . According to t he result, then recreational park of selecta should to maintained and enhanced a positive destination brand image to improve the millennial generation’s decision to visit which inturn can ultimately create their satisfaction . Between the two intermediate variables involved in the study, visitor satisfaction have considerable contribution to helped the destination brand image in influencing the millennial generation’s interest to revisit. Keywords: Brand Image, Decision To Visit, Satisfaction Of Visit, Interest To Revisit, Millennial Generation . ABSTRAK Penelitian ini dilakukan dengan tujuan untuk mengetahui persepsi generasi millennial atas pengaruh citra merek destinasi terhadap keputusan berkunjung, kepuasan pengunjung, dan minat kunjung ulang. Penelitian ini merupakan penelitian penjelasan ( explanatory research ) dengan pendekatan kuantitatif. Sampel yang diambil sebanyak 120 pengunjung Taman Rekreasi Selecta Kota Batu yang tergolong dalam kategori generasi millennial . Metode pengumpulan data menggunakan media kuesioner. Data yang diperoleh dari penyebaran kuesioner selanjutnya dianalisis secara deskriptif dan dianalisis dengan analisis jalur. Hasil analisis menunjukkan bahwa semua variabel memiliki pengaruh secara signifikan baik secara langsung maupun tidak langsung melalui variabel perantara. Berdasarkan hal tersebut, maka pengelola Taman Rekreasi Selecta sebaiknya memelihara dan meningkatkan citra merek destinasi yang positif untuk meningkatkan keputusan berkunjung generasi millennial yang pada akhirnya dapat menciptakan kepuasan pengunjung generasi millennial . Diantara kedua variabel perantara yang dilibatkan dalam peneltian ini, variabel kepuasan pengunjung generasi millennial memiliki kontribusi cukup besar dalam memediasi pengaruh antara citra merek destinasi terhadap minat kunjung ulang Kata kunci: Citra Merek Destinasi, Keputusan Berkunjung, Kepuasan Pengunjung, Minat Kunjung Ulang, Generasi Millennial .
Lacas: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks

One of the major challenges in wireless sensor network (WSN) research is to curb down congestion in the network's traffic, without compromising with the energy of the sensor nodes. Congestion affects the continuous flow of data, loss of information, delay in the arrival of data to the destination and unwanted consumption of significant amount of the very limited amount of energy in the nodes. Obviously, in healthcare WSN applications, particularly in the ones that cater to medical emergencies or in the ones that closely monitor critically ailing patients, it is desirable in the first place to avoid congestion from occurring and even if it occurs, to reduce the loss of data due to congestion. In this work, we address the problem of congestion in the nodes of healthcare WSN using a learning automata (LA)-based approach. Our primary objective in using this approach is to adaptively make the processing rate (data packet arrival rate) in the nodes equal to the transmitting rate (packet service rate), so that the occurrence of congestion in the nodes is seamlessly avoided. We maintain that the proposed algorithm, named as learning automata-based congestion avoidance algorithm in sensor networks (LACAS), can counter the congestion problem in healthcare WSNs effectively. An important feature of LACAS is that it intelligently' learns' from the past and improves its performance significantly as time progresses. Our proposed LA based model was evaluated using simulations representing healthcare WSNs. The results obtained through the experiments with respect to performance criteria having important implications in the healthcare domain, for example, the number of collisions, the energy consumption at the nodes, the network throughput, the number of unicast packets delivered, the number of packets delivered to each node, the signals received and forwarded to the medium access control (MAC) layer, and the change in energy consumption with variation in transmission range, have shown that the proposed algorithm is capable of successfully avoiding congestion in typical healthcare WSNs requiring a reliable congestion control mechanism.
Control of arbuscular mycorrhiza development by nutrient signals

Inorganic phosphate (Pi), the main form of phosphorus used by plants, is one of the most important limiting factors for plant growth. In the soil soluble Pi that is readily available for uptake, occurs at very low concentrations (Schachtman et al., 1998). One adaptation of plants to low Pi availability is the symbiosis with arbuscular mycorrhiza fungi (AMF) of the phylum Glomeromycota. The fungi efficiently take up phosphate and other mineral nutrients and deliver them to the host, in exchange for carbohydrates. Thereby, arbuscular-mycorrhiza compatible plants have two Pi uptake pathways, which are defined by different sets of phosphate transporters: a direct uptake pathway through the epidermis and root hairs, and a symbiotic uptake pathway for the Pi provided by the fungus (Smith and Smith, 2011).
Socio-economic inequalities in women's fruit and vegetable intakes: a multilevel study of individual, social and environmental mediators

Abstract Objective This study employed a multilevel design to test the contribution of individual, social and environmental factors to mediating socio-economic status (SES) inequalities in fruit and vegetable consumption among women. Design A cross-sectional survey was linked with objective environmental data. Setting A community sample involving 45 neighbourhoods. Subjects In total, 1347 women from 45 neighbourhoods provided survey data on their SES (highest education level), nutrition knowledge, health considerations related to food purchasing, and social support for healthy eating. These data were linked with objective environmental data on the density of supermarkets and fruit and vegetable outlets in local neighbourhoods. Results Multilevel modelling showed that individual and social factors partly mediated, but did not completely explain, SES variations in fruit and vegetable consumption. Store density did not mediate the relationship of SES with fruit or vegetable consumption. Conclusions Nutrition promotion interventions should focus on enhancing nutrition knowledge and health considerations underlying food purchasing in order to promote healthy eating, particularly among those who are socio-economically disadvantaged. Further investigation is required to identify additional potential mediators of SES–diet relationships, particularly at the environmental level.
Improving transparency: extracting, visualising and analysing corporate relationships from SEC 10-K documents

We present a system to extract, visualise and analyse inter-corporation relationships disclosed by public companies in their annual reports to the US Securities and Exchange Commission (SEC). In improving the transparency of these disclosures, we allow policymakers, analysts, investors and the general public to analyse these relationships at both the firm level and the industry level. Using probabilistic information retrieval and extraction techniques, we automatically extract a dataset of 45,000 relationships between 26,000 companies from over 15 GB of SEC 10-K documents. These relationships range from ownerships, agreements and personal connections to competition and legal disagreements. Information visualisation and social network analytic techniques can then be applied to explore and analyse the dataset.
Explaining the Third Reich: Swedish students' causal reasoning about the Nazi seizure of power in Germany

ABSTRACT The topic of this study is how Swedish students aged 15–16 use causal reasoning in history when given a high-stakes task about explaining a historically significant event, the rise of the Nazi regime in Germany. The study is based on student texts from the Swedish national test in history. The student texts are mainly analysed with regards to how many, and what kinds of, causal factors are used by the students. The study finds that while most students are able to combine agents and situational factors in their explanations, the explanations show a recurring theme of combining a generic sense of economic crisis with Hitler and the German people as the important agents, to the detriment of other causes that could open up for different interpretations of why the Nazi regime came to power. To counteract this, the study suggests increased emphasis on some contextual factors in teaching practices.
Temporal course of depressive symptoms during the development of Alzheimer disease

Objective: To characterize change in depressive symptoms before and after the onset of dementia in Alzheimer disease (AD). Method: We used data from the Chicago Health and Aging Project, a longitudinal cohort study of risk factors for AD in a geographically defined population of old people. Two subsets were analyzed. In 357 individuals who developed incident AD during the study, self-report of depressive symptoms (Center for Epidemiologic Studies Depression Scale) was obtained at 3-year intervals for a mean of 8 to 9 years. In 340 individuals who agreed to annual data collection, informant report of depressive symptoms (Hamilton Depression Rating Scale) was obtained for a mean of 3 years after a diagnosis of AD (n = 107), mild cognitive impairment (n = 81), or no cognitive impairment (n = 152). Results: The incident AD group reported a barely perceptible increase in depressive symptoms during 6 to 7 years of observation before the diagnosis (0.04 symptoms per year) and no change during 2 to 3 years of observation after the diagnosis except for a slight decrease in positive affect. In those with annual follow-up, neither AD nor its precursor, mild cognitive impairment, was associated with change in informant report of depressive symptoms during a mean of 3 years of observation. Conclusion: Depressive symptoms show little change during the development and progression of AD to a moderate level of dementia severity.
Improved Fault Location on Distribution Feeders Based on Matching During-Fault Voltage Sags

A fault location algorithm for distribution feeders based on matching during-fault voltage sags is presented. The basic principle of the algorithm is based on the fact that when a fault occurs on the feeder, voltage sags propagate presenting different characteristics for each feeder node. Knowing the voltage sag characteristics, it is possible to locate the faulty node or the faulty area of the feeder. This voltage-based approach ensures the efficiency and robustness of the algorithm, which provides suitable and accurate results. An overhead, three-phase, three-wire, 13.8 kV, 134-node, real-life feeder model is used to evaluate the algorithm. Test results show that the algorithm is quite suitable due to not only the faulted point being located, but also a faulted area being identified providing important information to direct the maintenance crew seeking to repair any fault inflicted damage.
Enhancement of Intrarenal Angiotensinogen in Dahl Salt-Sensitive Rats on High Salt Diet

Abstract—This study was performed to examine whether there is an inappropriate regulation of intrarenal angiotensinogen in Dahl-salt sensitive rats (DS) fed a high salt diet (HS). Dahl salt-resistant rats (DR) and DS were maintained on HS (8% NaCl) or low salt diet (LS, 0.3% NaCl) for 4 weeks. Systolic blood pressure (SBP), measured by tail-cuff plethysmography, was unaltered in DR (DR+HS, 127±3 mm Hg, n=5; DR+LS, 126±3, n=5); however, SBP was significantly increased in DS+HS (208±7, n=9) compared with DS+LS (134±2, n=5). HS suppressed plasma renin activity in both strains (0.7±0.2 ng of angiotensin I/mL per hour in DS+HS, 3.1±0.5 in DS+LS, 0.8±0.2 in DR+HS, 5.1±0.7 in DR+LS). Plasma angiotensinogen levels, measured by Western blot analysis, were also suppressed by HS in both strains (36 919±2170 integrated densitometric unit in DS+HS, 53 028±2752 in DS+LS, 44 722±1721 in DR+HS, 55782±3785 in DR+LS). However, kidney angiotensinogen levels were significantly increased in DS+HS (75 850±4171, integrated densitometric unit) compared with DS+LS (47 232±3470), DR+HS (44 748±8236), and DR+LS (42 504±4052). Urinary excretion of angiotensinogen, measured by radioimmunoassay of angiotensin I after incubation with excess renin, had a similar profile. Urinary excretion of angiotensinogen was significantly increased in DS+HS (2958±531 pmol/d) compared with DS+LS (56±4), DR+HS (31±12), and DR+LS (21±7). These data indicate that intrarenal angiotensinogen is enhanced in DS+HS, which is reflected by the increased urinary excretion of angiotensinogen. The results suggest that DS on HS have an inappropriate augmentation of intrarenal angiotensinogen, which may contribute to impaired sodium excretion during a high salt diet and the development of hypertension in this strain.
Pacific Asia Conference on Information Systems ( PACIS ) 6-18-2013 Agility : Customer ’ s Perspective

In competitive environments agility is emerging as an important determinant of success. Despite the widely accepted importance of agility there has been paucity in research on this construct, especially the customer’s perspective of agility. Rise of digital natives together with growth of ubiquitous information systems has changed the way firms engage with their customers. Firms are finding it difficult to establish sustained loyalty hence the long term sustained advantage over competition. Hence, firms are increasingly investing substantial resources on dynamic Customer Relationship Management systems such as mobile-CRMS to better engage with customers to sense and respond quickly (Agility of the firm) to their demands. This paper investigates firm’s customer agility from customer’s perspective, and we propose a model to understand firm’s customer agility from customer’s point of view. The proposed model is derived based on previous conceptions of agility and the expectation confirmation theory (ECT). This paper reports the initial findings of this study obtained through a pilot test. The findings of the study demonstrate that customer’s view point on firm’s customer agility is an important determinant of achieving success through sustained competitive advantage.
QUANTIZATION OF LINEARIZED GRAVITY IN COSMOLOGICAL VACUUM SPACETIMES

Linearized Einstein gravity (with possibly non-zero cosmological constant) is quantized in the framework of algebraic quantum field theory by analogy with Dimock's treatment of electromagnetism [Rev. Math. Phys.4 (1992) 223–233]. To achieve this, the classical theory is developed in a full, rigorous and systematic fashion, with particular attention given to the circumstances under which the symplectic product is weakly non-degenerate and to the related question of whether the space of solutions is separated by the classical observables on which the quantum theory is modeled.
Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach

When there is parameter uncertainty in the constraints of a convex optimization problem, it is natural to formulate the problem as a joint chance constrained program (JCCP), which requires that all constraints be satisfied simultaneously with a given large probability. In this paper, we propose to solve the JCCP by a sequence of convex approximations. We show that the solutions of the sequence of approximations converge to a Karush-Kuhn-Tucker (KKT) point of the JCCP under a certain asymptotic regime. Furthermore, we propose to use a gradient-based Monte Carlo method to solve the sequence of convex approximations.
Service Use Typologies Among Trauma-Exposed Children: The Roles of PTSD and Dissociation

Posttraumatic stress disorder (PTSD) and dissociation following child maltreatment are often missed or misdiagnosed among children and adolescents. Recent studies of adults have begun to better characterize the co-occurrence of PTSD and dissociation, but there are few studies of PTSD and dissociation among pediatric populations. The purpose of this study was to characterize posttraumatic stress disorder (PTSD), dissociation, and the dissociative subtype of PTSD (PTSD-D) among adolescents with maltreatment exposure at ages 12 to 16. A clinical sample of trauma-exposed adolescents from the National Child Traumatic Stress Network Core Data Set was used to describe the three groups and explore associations between trauma history characteristics, sociodemographic factors, PTSD, and dissociation. Results indicated that 53.7% of adolescents who met criteria for PTSD also met criteria for the dissociative subtype. The PTSD-only and PTSD-D groups were similar overall on all measures of psychopathology and trauma history characteristics (early childhood trauma exposure, sexual abuse, physical abuse, and maltreatment count) and were both more likely to be female, although the PTSD-D group had fewer trauma exposures and was slightly less symptomatic than the PTSD-only group. PTSD and depersonalization/derealization, separately or together, were related to emotional abuse and to externalizing and internalizing problems. Adolescents with PTSD-D were more likely to be
“PageRank” for Argument Relevance

Future search engines are expected to deliver pro and con arguments in response to queries on controversial topics. While argument mining is now in the focus of research, the question of how to retrieve the relevant arguments remains open. This paper proposes a radical model to assess relevance objectively at web scale: the relevance of an argument’s conclusion is decided by what other arguments reuse it as a premise. We build an argument graph for this model that we analyze with a recursive weighting scheme, adapting key ideas of PageRank. In experiments on a large ground-truth argument graph, the resulting relevance scores correlate with human average judgments. We outline what natural language challenges must be faced at web scale in order to stepwise bring argument relevance to web search engines.
The Complex Network of Evolutionary Computation Authors: an Initial Study

EC paper authors form a complex network of co-authorship which is, by itself, a example of an evolving system with its own rules, concept of fitness, and patterns of attachment. In this paper we explore the network of authors of evolutionary computation papers found in a major bibliographic database. We examine its macroscopic properties, and compare it with other co-authorship networks; the EC co-authorship network yields results in the same ballpark as other networks, but exhibits some distinctive patterns in terms of internal cohesion. We also try to find some hints on what makes an author a sociometric star. Finally, the role of proceeding editorship as the origin of long-range links in the co-authorship network is studied as well.
From Elicitation to Persuasion: Assessing the Structure and Effectiveness of Differential Emotions in Anti-Drunk-Driving Campaigns

ABSTRACT In this paper, we test whether the DES III structure of emotions as described by Izard (1977) can be found in self-report data collected in the context of a campaign to deter drunk driving. Indeed, when exposed to a shocking advertisement about the consequences of drunk-driving, young adults express a range of emotions from surprise to contempt. The purpose of this research is to study and understand the structure of these emotions and their impact on persuasion. 126 social drinkers aged between 20 and 28 years old, who were also students belonging to different French universities, were exposed to a dramatic printed advertisement about drinking and driving. After viewing the ad, subjects answered a survey including different measures of emotions using Izard's DES III scale, and measures of self-efficacy and persuasion. Factor analysis results reveal a four dimensional structure of the original DES III. Both “primary emotions” and “repulsion” have direct effects on persuasion. However, the effect of “repulsion” on persuasion is negative. This paper is, to our knowledge, the first to show that surprise comes ahead of all other emotions elicited by a shocking advertisement. It is the precursor for all other emotional responses. This research also tests an original model explaining how people respond to shocking advertisements along two distinct pathways: one leading to persuasion and another one leading to resistance to persuasion.
The H α luminosity-dependent clustering of star-forming galaxies from z ∼ 0.8 to ∼2.2 with HiZELS.

We present clustering analyses of identically-selected star-forming galaxies in 3 narrow redshift slices (at z=0.8, z=1.47 and z=2.23), from HiZELS, a deep, near-infrared narrow-band survey. The HiZELS samples span the peak in the cosmic star-formation rate density, identifying typical star-forming galaxies at each epoch. Narrow-band samples have well-defined redshift distributions and are therefore ideal for clustering analyses. We quantify the clustering of the three samples, and of H-alpha luminosity-selected subsamples, initially using simple power law fits to the two-point correlation function. We extend this work to link the evolution of star-forming galaxies and their host dark matter halos over cosmic time using sophisticated dark matter halo models. We find that the clustering strength, r0, and the bias of galaxy populations relative to the clustering of dark matter increase linearly with H-alpha luminosity (and, by implication, star-formation rate) at all three redshifts, as do the host dark matter halo masses of the HiZELS galaxies. The typical galaxies in our samples are star-forming centrals, residing in halos of mass M_halo ~ a few times 10^12M_solar. We find a remarkably tight redshift-independent relation between the H-alpha luminosity scaled by the characteristic luminosity, L(H-alpha)/L(H-alpha)*(z), and the minimum host dark matter halo mass of central galaxies. This reveals that the dark matter halo environment is a strong driver of galaxy star-formation rate and therefore of the evolution of the star-formation rate density in the Universe.
Effects of Anger on Interpretation Bias, Negative Beliefs about Uncertainty, and Worry Catastrophizing: An Experimental Study

Generalized anxiety disorder (GAD) symptoms are associated with elevated anger; however the nature of these associations is unclear. We tested the hypothesis that anger perpetuates GAD symptoms and associated cognitive vulnerabilities by examining the effects of laboratory-induced anger on worry, negative interpretative style, and negative beliefs about uncertainty. Participants were randomized to an anger induction (n = 43) or a control condition (n = 34). An interpretation bias task, questionnaire items assessing beliefs about uncertainty, and a worry task were administered following the manipulation. Participants in the anger condition reported greater increases in negative interpretative style and in the belief that uncertainty is unfair and spoils everything than those in the control condition; however no group differences were found related to worry. Results provide partial support for the notion that anger contributes to cognitive vulnerabilities underlying GAD, namely negative interpretative style and specific beliefs about uncertainty.