Miracle-dz/UniFAR-FTUs huggingface dataset:
Privacy, Trust, and Self-Disclosure Online

Despite increased concern about the privacy threat posed by new technology and the Internet, there is relatively little evidence that people's privacy concerns translate to privacy-enhancing behaviors while online. In Study 1, measures of privacy concern are collected, followed 6 weeks later by a request for intrusive personal information alongside measures of trust in the requestor and perceived privacy related to the specific request (n = 759). Participants' dispositional privacy concerns, as well as their level of trust in the requestor and perceived privacy during the interaction, predicted whether they acceded to the request for personal information, although the impact of perceived privacy was mediated by trust. In Study 2, privacy and trust were experimentally manipulated and disclosure measured (n = 180). The results indicated that privacy and trust at a situational level interact such that high trust compensates for low privacy, and vice versa. Implications for understanding the links between privacy attitudes, trust, design, and actual behavior are discussed.
Identification of Fibrin Clot-Bound Plasma Proteins

Several proteins are known to bind to a fibrin network and to change clot properties or function. In this study we aimed to get an overview of fibrin clot-bound plasma proteins. A plasma clot was formed by adding thrombin, CaCl2 and aprotinin to citrated platelet-poor plasma and unbound proteins were washed away with Tris-buffered saline. Non-covalently bound proteins were extracted, separated with 2D gel electrophoresis and visualized with Sypro Ruby. Excised protein spots were analyzed with mass spectrometry. The identity of the proteins was verified by checking the mass of the protein, and, if necessary, by Western blot analysis. Next to established fibrin-binding proteins we identified several novel fibrin clot-bound plasma proteins, including α2-macroglobulin, carboxypeptidase N, α1-antitrypsin, haptoglobin, serum amyloid P, and the apolipoproteins A-I, E, J, and A-IV. The latter six proteins are associated with high-density lipoprotein particles. In addition we showed that high-density lipoprotein associated proteins were also present in fibrinogen preparations purified from plasma. Most plasma proteins in a fibrin clot can be classified into three groups according to either blood coagulation, protease inhibition or high-density lipoprotein metabolism. The presence of high-density lipoprotein in clots might point to a role in hemostasis.
Differences in Expectations and the Cross-Section of Stock Returns

We present empirical evidence that the dispersion in analysts' forecasts can explain a part of differences in cross sectional stock returns. Generally, high dispersion stocks show relatively lower returns than low dispersion stocks, and the difference in performance is statistically significant. Furthermore, the negative relation between stock returns and dispersions continues to hold even after controlling for size, book-to-market ratio and earnings-price ratio. This empirical fact is consistent with Harrison and Kreps (1978), which demonstrates that investors are exploiting their awareness of heterogeneity in expectations in order to pursue resale gains.
Hypocholesterolemia in Patients with an Amebic Liver Abscess

Background/Aims Many parasites induce changes in the lipid profiles of the host. Cholesterol increases the virulence of Entamoeba histolytica in animal models and in vitro culture. This study aimed to determine, in patients with an amebic liver abscess, the correlation between cholesterol and other features, such as the size and number of abscesses, standard hematological and serum chemistry profiles, liver tests, and duration of hospital stay. Methods A total of 108 patients with an amebic liver abscess and 140 clinically healthy volunteers were investigated. Cholesterol and triglycerides were measured in the sera. The data from medical observations and laboratory tests were obtained from the clinical records. Results A total of 93% of patients with an amebic liver abscess showed hypocholesterolemia not related to any of the studied parameters. Liver function tests correlated with the size of the abscess. The most severe cases of amebic liver disease or death were found in patients whose cholesterol levels continued to decrease despite receiving antiamebic treatment and hospital care. Conclusions Our results show that the hypocholesterolemia observed in patients with an amebic liver abscess is not related to any of the clinical and laboratory features analyzed. This is the first study relating hypocholesterolemia to severity of hepatic amebiasis.
A mixed generative-discriminative framework for pedestrian classification

This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classification performance of a discriminative model. Our generative model captures prior knowledge about the pedestrian class in terms of a number of probabilistic shape and texture models, each attuned to a particular pedestrian pose. Active learning provides the link between the generative and discriminative model, in the sense that the former is selectively sampled such that the training process is guided towards the most informative samples of the latter. In large-scale experiments on real-world datasets of tens of thousands of samples, we demonstrate a significant improvement in classification performance of the combined generative-discriminative approach over the discriminative-only approach (the latter exemplified by a neural network with local receptive fields and a support vector machine using Haar wavelet features).
HUBUNGAN RELIGIUSITAS DENGAN INTENSITAS MENGAKSES SITUS PORNOGRAFI PADA SISWA KELAS XI SMA HASYIM ASY’ARI PEKALONGAN

Usia remaja adalah fase yang penting dalam rentang perkembangan manusia. Pada fase tersebut seseorang mengalami dorongan seksual yang semakin meningkat. Seseorang dapat dengan mudah mencari dan memenuhi dorongan seksualnya melalui situs-situs pornografi yang beredar di internet. Pengetahuan kagamaan yang baik dapat mengurangi dampak negatif kecanduan akan situs pornografi yang beredar secara bebas. Tujuan penelitian ini adalah untuk menguji secara empiris hubungan antara religiusitas dengan intensitas mengakses situs pornografi pada remaja. Hipotesis dalam penelitian ini yaitu terdapat hubungan negatif antara religiusitas dengan intensitas mengakses situs pornografi pada remaja. Subjek penelitian ini adalah 97 siswa yang berusia remaja yang bersekolah di SMA Hasyim Asy’ari Kota Pekalongan. Sampel diambil menggunakan teknik cluster random sampling yaitu dengan menggunakan teknik acak terhadap kelompok karena populasi yang berbentuk kelas-kelas. Pengumpulan data menggunakan dua skala likert yaitu Skala Religiusitas (36 aitem α = 0,901) dan Skala Intensitas Mengakses Situs Pornografi (15 aitem α = 0,897). Hasil analisis data dengan menggunakan analisis regresi linier sederhana memungkinkan adanya hubungan negatif antara religiusitas dengan intensitas mengakses situs pornografi pada remaja ( r = -0,585, p = 0,000). Hal ini menunjukkan bahwa semakin tinggi tingkat religiusitas yang dimiliki individu berusia remaja maka semakin rendah intensitas dalam mengakses situs pornografi, dan sebaliknya, semakin rendah tingkat religiusitas individu berusia remaja maka semakin tinggi pula intensitas dalam mengakses situs pornografi. Religiusitas memberikan sumbangan sebesar 34,2% terhadap intensitas mengakses situs pornografi pada siswa kelas XI SMA Hasyim Asy’ari Pekalongan.
Freedom of Choice, Ease of Use, and the Formation of Interface Preferences

How does users' freedom of choice, or the lack thereof, affect interface preferences? The research reported in this article approaches this question from two theoretical perspectives. The first of these argues that an interface with a dominant market share benefits from the absence of competition because users acquire skills that are specific to that particular interface, which in turn reduces the probability that they will switch to a new competitor interface in the future. By contrast, the second perspective proposes that the advantage that a market leader has in being able to install a set of non-transferable skills in its user base is offset by a psychological force that causes humans to react against perceived constraints on their freedom of choice. We test a research model that incorporates the key predictions of these two theoretical perspectives in an experiment involving consequential interface choices. We find strong support for the second perspective, which builds upon the theory of psychological reactance.
Characteristic Complications after Autologous Chondrocyte Implantation for Cartilage Defects of the Knee Joint

Background Although autologous chondrocyte implantation (ACI) is a well-established therapy for the treatment of isolated cartilage defects of the knee joint, little is known about typical complications and their treatment after ACI. Hypothesis Unsatisfactory outcome after ACI is associated with technique-related typical complications. Study Design Case series; Level of evidence, 4. Methods A total of 309 consecutive patients with 349 ACI procedures of the knee joint were analyzed. Three different ACI techniques were used: periosteum-covered ACI in 52 cases (14.9%), Chondrogide (Geistlich Biomaterials, Wolhusen, Switzerland) membrane-covered ACI in 215 cases (61.6%), and a 3-dimensional matrix-associated ACI (BioSeed-C, Biotissue Technologies, Freiburg, Germany) in 82 cases (23.5%). In 52 patients, revision surgery was performed for persistent clinical problems. These patients were analyzed for defect size and location, technique of ACI, and intraoperative findings during revision surgery. The mean time of follow-up for patients after ACI was 4.5 years (standard deviation, ±1.5). Results Four typical major complications were identified: hypertrophy of the transplant, disturbed fusion of the regenerative cartilage and the healthy surrounding cartilage, insufficient regenerative cartilage, and delamination. These diagnoses covered a total of 88.5% of the patients who underwent revision surgery. The overall complication rate was highest in the group of patients treated with periosteum-covered ACI (P = .008). The incidence of symptomatic hypertrophy was 5.2% for all techniques and defect locations; the highest incidence was in patients treated with periosteum-covered ACI (15.4%) (P = .001). The incidence of disturbed fusion was highest in the Chondrogide-covered ACI (3.7%) and the matrix-associated ACI group (4.8%). Concerning the incidence of complications by defect location, there was a tendency for increased complications in patellar defects (P = .095). Within the patellar defects group, no correlation was found for the occurrence of delamination, insufficient regeneration, and disturbed fusion. As a statistical trend, an increased rate of hypertrophy was found for patellar defects (P = .091). Conclusion A major proportion of complications after ACI can be summarized by 4 major diagnoses (symptomatic hypertrophy, disturbed fusion, delamination, and graft failure). Among those, the overall complication rate and incidence of hypertrophy of the transplant were higher for periosteum-covered ACI. Furthermore, an increased rate of symptomatic hypertrophy was found for patellar defects. Therapeutic concepts need to be developed to treat these typical complications of ACI.
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications

What is the growth pattern of social networks, like Facebook and WeChat? Does it truly exhibit exponential early growth, as predicted by textbook models like the Bass model, SI, or the Branching Process? How about the count of links, over time, for which there are few published models? We examine the growth of several real networks, including one of the world's largest online social network, ``WeChat'', with 300 million nodes and 4.75 billion links by 2013; and we observe power law growth for both nodes and links, a fact that completely breaks the sigmoid models (like SI, and Bass). In its place, we propose NETTIDE, along with differential equations for the growth of the count of nodes, as well as links. Our model accurately fits the growth patterns of real graphs; it is general, encompassing as special cases all the known, traditional models (including Bass, SI, log-logistic growth); while still remaining parsimonious, requiring only a handful of parameters. Moreover, our NETTIDE for link growth is the first one of its kind, accurately fitting real data, and naturally leading to the densification phenomenon. We validate our model with four real, time-evolving social networks, where NETTIDE gives good fitting accuracy, and, more importantly, applied on the WeChat data, our NETTIDE forecasted more than 730 days into the future, with 3% error.
Implications Of Soil Resistivity Measurements Using The Electrical Resistivity Method: A Case Study Of A Maize Farm Under Different Soil Preparation Modes At KNUST Agricultural Research Station, Kumasi

Continuous vertical electrical sounding (CVES) technique was used to investigate the soil moisture content of a maize farm at the Kwame Nkrumah University of Science and Technology (KNUST) Agricultural Research Station (ARS), Kumasi, Ghana. The soils of the maize farm were categorized into four different land preparation modes; ploughed-harrowed, ploughed, hoed and no-till plot. Time-lapse measurements with CVES was carried out using the multi-electrode Wenner array to investigate soil moisture variation with the help of the ABEM Terrameter SAS 4000 resistivity meter. The results showed a heterogeneous distribution of soil moisture content both spatially and temporally. Most of the water available for plants‘ uptake was within a depth of 0.20 – 0.40 m which coincided with the root zones of the maize crops. In addition, the no-till plot was found to conserve more moisture during dry weather conditions than the rest of the plots. The research shows that CVES technique is applicable in monitoring shallow soil water content in the field and the results obtained could be used to optimize irrigation scheduling and to assess the potential for variable-rate irrigation.
Robust Adversarial Reinforcement Learning

Deep neural networks coupled with fast simulation and improved computation have led to recent successes in the field of reinforcement learning (RL). However, most current RL-based approaches fail to generalize since: (a) the gap between simulation and real world is so large that policy-learning approaches fail to transfer; (b) even if policy learning is done in real world, the data scarcity leads to failed generalization from training to test scenarios (e.g., due to different friction or object masses). Inspired from H∞ control methods, we note that both modeling errors and differences in training and test scenarios can be viewed as extra forces/disturbances in the system. This paper proposes the idea of robust adversarial reinforcement learning (RARL), where we train an agent to operate in the presence of a destabilizing adversary that applies disturbance forces to the system. The jointly trained adversary is reinforced - that is, it learns an optimal destabilization policy. We formulate the policy learning as a zero-sum, minimax objective function. Extensive experiments in multiple environments (InvertedPendulum, HalfCheetah, Swimmer, Hopper, Walker2d and Ant) conclusively demonstrate that our method (a) improves training stability; (b) is robust to differences in training/test conditions; and c) outperform the baseline even in the absence of the adversary.
Bank Leverage Regulation and Macroeconomic Dynamic

This paper assesses the merits of countercyclical bank balance sheet regulation for the stabilization of financial and economic cycles and examines its interaction with monetary policy. The framework used is a dynamic stochastic general equilibrium modelwith banks and bank capital, in which bank capital solves an asymmetric information problem between banks and their creditors. In this economy, the lending decisions of individual banks affect the riskiness of the whole banking sector, though banks do not internalize this impact. Regulation, in the form of a constraint on bank leverage, can mitigate the impact of this externality by inducing banks to alter the intensity of their monitoring efforts. We find that countercyclical bank leverage regulation can have desirable stabilization properties, particularly when financial shocks are an important source of economic fluctuations. However, the appropriate contribution of countercyclical capital requirements to stabilization after a technology shock depends on the size of the externality and on the conduct of the monetary authority.
Nonlinear Variability of Body Sway in Patients with Phobic Postural Vertigo

Background: Subjective postural imbalance is a key symptom in the somatoform phobic postural vertigo (PPV). It has been assumed that more attentional control of body posture and / or co-contraction of leg muscles during standing is used to minimize the physiological body sway in PPV. Here we analyze nonlinear variability of body sway in patients with PPV in order to disclose changes in postural control strategy associated with PPV. Methods: Twenty patients with PPV and 20 age-matched healthy subjects (HS) were recorded on a stabilometer platform with eyes open (EO), eyes closed (EC), and while standing on a foam rubber with eyes closed (ECF). Spatio-temporal changes of the center of pressure (CoP) displacement were analyzed to assess the structure of postural variability by computing the scaling exponent α and the sample entropy (SEn) of the time series. Results: With EO on firm ground α and SEn of CoP displacement were significantly lower in patients (p < 0.001). For more difficult conditions (EC, ECF) postural variability in PPV assimilated to that of HS. Conclusion: Postural control in PPV patients differs from HS under normal stance condition. It is characterized by a reduced scaling behavior and higher regularity. These changes in the structure of postural variability might suggest an inappropriate attentional involvement with stabilizing strategies, which are used by HS only for more demanding balance tasks.
The Discipline of International Relations: Still an American Social Science?

This article reviews the state of the discipline of international relations. It starts from statements made by the editors in their editorial published in the first issue of this journal. The editors noted that there seemed to have been less adherence to positivism in international relations than in other areas of political science and that there was both more opposition to positivism and more methodological and epistemological openness in international relations than in political science generally. The article outlines the current state of the field, focusing on the rationalist mainstream and then on the reflectivist alternatives, before looking at social constructivism, seeing it as the likely acceptable alternative to rationalism in the mainstream literature of the next decade. It then turns to examine whether international relations is still an American social science, before looking at the situation in the United Kingdom. It concludes that the editors' comments were indeed accurate, but that the fact that there is both more opposition to positivism in international relations and more openness in the UK academic community does not mean that the mainstream US literature is anything like as open or pluralist. The UK community is indeed more able to develop theory relevant to the globalised world at the new millennium, but the US academic community still dominates the discipline.
Trading Volume in Dealer Markets

Abstract We develop a financial market trading model in the tradition of Glosten and Milgrom (1985) that allows us to incorporate nontrivial volume. We observe that in this model price volatility is positively related to the trading volume and to the absolute value of the net order flow (i.e., the order imbalance). Moreover, higher volume leads to higher order imbalances. These findings are consistent with well-established empirical findings. Our model further predicts that higher trader participation and systematic improvements in the quality of traders’ information lead to higher volume, larger order imbalances, lower market depth, shorter duration, and higher price volatility.
Framing Risk with Numbers: The Framing Effects of Risk Assertions and Number Formats on Emotions and Risk Perceptions

This study examines how risk assertions and relevant statistics presented in different number formats interact to influence emotional and cognitive outcomes. Experimental news stories present risk assertions that highlight either safety from or vulnerability to violent crime; these assertions are accompanied by crime statistics in absolute frequency, simple fraction, or percentage format. Although it may be tempting to assume that national statistics in absolute frequency format create a greater impression due to the sheer size of the numbers, our results show that only probability formats, including simple fractions and percentages, interact with assertions to generate amplified emotions. Furthermore, we find that negative emotions play a mediating role in producing pessimistic risk assessments. Our findings reveal how people process numerical information and its impact on emotional and cognitive responses. This article also discusses the empirical and methodological implications for framing research, as well as cognitive aspects of emotional reactions and the nature of emotional effects on risk perceptions.
Temperature effects on pitfall catches of epigeal arthropods: a model and method for bias correction

Summary Carabids and other epigeal arthropods make important contributions to biodiversity, food webs and biocontrol of invertebrate pests and weeds. Pitfall trapping is widely used for sampling carabid populations, but this technique yields biased estimates of abundance (‘activity‐density’) because individual activity – which is affected by climatic factors – affects the rate of catch. To date, the impact of temperature on pitfall catches, while suspected to be large, has not been quantified, and no method is available to account for it. This lack of knowledge and the unavailability of a method for bias correction affect the confidence that can be placed on results of ecological field studies based on pitfall data. Here, we develop a simple model for the effect of temperature, assuming a constant proportional change in the rate of catch per °C change in temperature, r, consistent with an exponential Q10 response to temperature. We fit this model to 38 time series of pitfall catches and accompanying temperature records from the literature, using first differences and other detrending methods to account for seasonality. We use meta‐analysis to assess consistency of the estimated parameter r among studies. The mean rate of increase in total catch across data sets was 0·0863 ± 0·0058 per °C of maximum temperature and 0·0497 ± 0·0107 per °C of minimum temperature. Multiple regression analyses of 19 data sets showed that temperature is the key climatic variable affecting total catch. Relationships between temperature and catch were also identified at species level. Correction for temperature bias had substantial effects on seasonal trends of carabid catches. Synthesis and Applications. The effect of temperature on pitfall catches is shown here to be substantial and worthy of consideration when interpreting results of pitfall trapping. The exponential model can be used both for effect estimation and for bias correction of observed data. Correcting for temperature‐related trapping bias is straightforward and enables population estimates to be more comparable. It may thus improve data interpretation in ecological, conservation and monitoring studies, and assist in better management and conservation of habitats and ecosystem services. Nevertheless, field ecologists should remain vigilant for other sources of bias.