Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Excessive Internet Use and Depression: A Questionnaire-Based Study of 1,319 Young People and Adults

Background: There is a growing awareness of a psychiatric construct that needs to be better defined and understood: Internet addiction (IA). Recently there has been much public concern over the relationship between Internet use and negative affect. This study explored the concept of IA and examined the relationship between addictive symptoms and depression. Sampling and Methods: An online questionnaire was used to measure participants’ Internet use, the functions for which they used the Internet, and their depressive tendencies. Three scales were included: the IA Test, the Internet Function Questionnaire and the Beck Depression Inventory (BDI). 1,319 respondents completed the questionnaires, with 18 (1.2%) identified as falling in the IA category. Results: Correlational analyses were conducted across the whole data sample. In factorial analyses, the 18 IA respondents were compared to a matched group of non-addicted (NA) respondents in terms of their scores on the Function Test and the BDI. Across the whole data sample, there was a close relationship between IA tendencies and depression, such that IA respondents were more depressed; there were also significant differences between the sexes, with men showing more addictive tendencies than women. In addition, young people were significantly more likely to show addictive symptoms than were older people. There was a significant difference between the IA and the NA group in their levels of depressive symptoms, with the NA group firmly in the non-depressed range, and the IA group in the moderately-to-severely depressed range (F1, 34 = 22.35; p < 0.001). In terms of the function for which they used the Internet, the IA group engaged significantly more than the NA group in sexually gratifying websites, gaming websites and online community/chat websites. Conclusions: The concept of IA is emerging as a construct that must be taken seriously. Moreover, it is linked to depression, such that those who regard themselves as dependent on the Internet report high levels of depressive symptoms. Those who show symptoms of IA are likely to engage proportionately more than the normal population in sites that serve as a replacement for real-life socialising. Further work needs to be done on validating this relationship. Future research is needed to corroborate the existing evidence and address the nature of the relationship between IA and depression: there is comorbidity between these conditions that needs greater investigation.
The Incredible Shrinking Portuguese Firm

Using Portugal's extensive matched employer-employee data set, this paper documents an unusual feature of the Portuguese economy. For decades, the entire Portuguese firm size distribution has been shifting to the left. We argue in this paper that Portugal's shrinking firms are linked to the country's anemic growth and low productivity. We show that the shift in the Portuguese firm size distribution is not reflected in other advanced industrial economies for which we have been able to obtain comparable data. Careful attempts to account for expanding data coverage, a structural shift from manufacturing to services, and aggressive efforts to "demonopolize" the Portuguese economy leave about half of this shift unexplained by these factors. So, what does explain the shift? We argue that Portugal's uniquely strong protections for regular workers have played an important role. Drawing upon an emerging literature that that attributes much of the productivity gap between advanced nations and developing nations to the misallocation of resources across firms in developing countries, we develop a theoretical model that shows how Portugal's labor market institutions could prevent more productive firms from reaching their optimal size, thereby constraining GDP per capita. Calibration exercises based on this model quantify the degree of labor market distortion consistent with recent shifts in the Portuguese firm size distribution. These calibration exercises suggest quite substantial growth effects could arise if the distortions were lessened or abolished altogether.
Biting: advancing front meets sphere packing

A key step in the nite element method is to generate a high quality mesh that is as small as possible for an input domain. Several meshing methods and heuristics have been developed and implemented. Methods based on advancing front, Delaunay triangulations, and quadtrees/octrees are among the most popular ones. Advancing front uses simple data structures and is eecient. Unfortunately, in general, it does not provide any guarantee on the size and quality of the mesh it produces. On the other hand, the circle-packing based Delaunay methods generate a well-shaped mesh whose size is within a constant factor of the optimal. In this paper, we present a new meshing algorithm, the biting method, which combines the strengths of advancing front and circle packing. We prove that it generates a high quality 2D mesh, and the size of the mesh is within a constant factor of the optimal.
Texture Synthesis for Digital Restoration in the Bit-Plane Representation

In this paper we propose a new approach to handle the problem of restoration of grayscale textured images. The purpose is to recovery missing data of a damaged area. The key point is to decompose an image in its bit-planes, and to process bits rather than pixels. We propose two texture synthesis methods for restoration. The first one is a random generation process, based on the conditional probability of bits in the bit-planes. It is designed for images with stochastic textures. The second one is a best-matching method, running on each bit-plane, that is well suited to synthesize periodic patterns. Results are compared with a state-of-the-art restoration algorithm.
AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic

Automatic fingerprinting and identification of smartphone apps is becoming a very attractive data gathering technique for adversaries, network administrators, investigators and marketing agencies. In fact, the list of apps installed on a device can be used to identify vulnerable apps for an attacker to exploit, uncover a victim's use of sensitive apps, assist network planning, and aid marketing. However, app fingerprinting is complicated by the vast number of apps available for download, the wide range of devices they may be installed on, and the use of payload encryption protocols such as HTTPS/TLS. In this paper, we present a novel methodology and a framework implementing it, called AppScanner, for the automatic fingerprinting and real-time identification of Android apps from their encrypted network traffic. To build app fingerprints, we run apps automatically on a physical device to collect their network traces. We apply various processing strategies to these network traces before extracting the features that are used to train our supervised learning algorithms. Our fingerprint generation methodology is highly scalable and does not rely on inspecting packet payloads, thus our framework works even when HTTPS/TLS is employed. We built and deployed this lightweight framework and ran a thorough set of experiments to assess its performance. We automatically profiled 110 of the most popular apps in the Google Play Store and were later able to re-identify them with more than 99% accuracy.
The Cost of Tractability and the Calvo Pricing Assumption

This paper demonstrates that tractability gained from the Calvo pricing assumption is costly in terms of aggregate dynamics. I derive a generalized New Keynesian Phillips curve featuring a generalized hazard function, non-zero steady state inflation and real rigidity. An- alytically, I find that important dynamics in the NKPC are canceled out due to the restrictive Calvo assumption. I also present a general result, showing that, under certain conditions, this generalized Calvo pricing model generates the same aggregate dynamics as the gen- eralized Taylor model with heterogeneous price durations. The richer dynamic structure introduced by the non-constant hazards is also quantitatively important to the inflation dy- namics. Incorporation of real rigidity and trend inflation strengthen this effect even further. With reasonable parameter values, the model accounts for hump-shaped impulse responses of inflation to the monetary shock, and the real effects of monetary shocks are 2-3 times higher than those in the Calvo model.
Enduring Effects of Early Life Stress on Firing Patterns of Hippocampal and Thalamocortical Neurons in Rats: Implications for Limbic Epilepsy

Early life stress results in an enduring vulnerability to kindling-induced epileptogenesis in rats, but the underlying mechanisms are not well understood. Recent studies indicate the involvement of thalamocortical neuronal circuits in the progression of kindling epileptogenesis. Therefore, we sought to determine in vivo the effects of early life stress and amygdala kindling on the firing pattern of hippocampus as well as thalamic and cortical neurons. Eight week old male Wistar rats, previously exposed to maternal separation (MS) early life stress or early handling (EH), underwent amygdala kindling (or sham kindling). Once fully kindled, in vivo juxtacellular recordings in hippocampal, thalamic and cortical regions were performed under neuroleptic analgesia. In the thalamic reticular nucleus cells both kindling and MS independently lowered firing frequency and enhanced burst firing. Further, burst firing in the thalamic reticular nucleus was significantly increased in kindled MS rats compared to kindled EH rats (p<0.05). In addition, MS enhanced burst firing of hippocampal pyramidal neurons. Following a stimulation-induced seizure, somatosensory cortical neurons exhibited a more pronounced increase in burst firing in MS rats than in EH rats. These data demonstrate changes in firing patterns in thalamocortical and hippocampal regions resulting from both MS and amygdala kindling, which may reflect cellular changes underlying the enhanced vulnerability to kindling in rats that have been exposed to early life stress.
Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition

Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as recognizing them has many important applications, particularly in forensic science and psychotherapy. However, analyzing spontaneous MEs is very challenging due to their short duration and low intensity. Automatic ME analysis includes two tasks: ME spotting and ME recognition.For ME spotting, previous studies have focused on posed rather than spontaneous videos. For ME recognition, the performance of previous studies is low. To address these challenges, we make the following contributions: (i) We propose the first method for spotting spontaneous MEs in long videos (by exploiting feature difference contrast). This method is training free and works on arbitrary unseen videos. (ii) We present an advanced ME recognition framework, which outperforms previous work by a large margin on two challenging spontaneous ME databases (SMIC and CASMEII). (iii) We propose the first automatic ME analysis system (MESR), which can spot and recognize MEs from spontaneous video data. Finally, we show that our method achieves comparable performance to humans at this very challenging task, and outperforms humans in the ME recognition task by a large margin.
A Privacy Preserving Group Recommender Based on Cooperative Perturbation

Recently, group recommendations is increasingly popular among online service providers (SP), which makes the privacy of users' data collected by SPs for recommendation systems a concern. In this scenario, the privacy protection of individual user in a group is of great importance for a secure group recommendation system. In this paper, a cooperative perturbation privacy-preserving scheme for group recommendation is proposed. The proposed scheme allows users in a group to form privacy protection by mutual perturbations. The preference data from the same user group is confused by the proposed method in order to keep privacy from the SP, while the confused data still preserves utility for preference aggregation at the SP side. In addition, during the data transmission from the user group to the SP, the confused data is further transformed via intragroup mutual perturbation to noise-like data with no utility to malicious attackers. On the SP side, an iterative data exaction method is proposed to recover useful information from the perturbed data for running recommendation algorithm. The effectiveness of the proposed scheme is demonstrated by experimental results.
Development of 5-MW Offshore Wind Turbine and 2-MW Floating Offshore Wind Turbine Technology

Mitsuru Saeki Ikuo Tobinaga Junichi Sugino Takashi Shiraishi OVERVIEW: To date, Hitachi has received orders for a total of 137 of the 2-MW downwind turbines it developed for use in Japan’s demanding conditions such as tyhoon gusts and wind turbulance in its mountainous regions. The first seven offshore wind turbines mounted on fixed seabed foundations to be built in Japan commenced operation in 2010, with an additional eight turbines added in 2013. Hitachi is now drawing on this experience to develop a 5-MW downwind turbine for offshore use. Hitachi has also, as a member of the Fukushima Offshore Wind Consortium, supplied a wind turbine to the Fukushima Floating Offshore Wind Farm Demonstration Project sponsored by the Ministry of Economy, Trade and Industry. Similarly, it has installed a 2-MW downwind turbine for the Floating Offshore Wind Turbine Demonstration Project led by the Ministry of the Environment, with Hitachi being part of the group contracted to undertake the project.
A MATHEMATICAL MODEL OF ACUTE INFLAMMATORY RESPONSE TO ENDOTOXIN CHALLENGE

The body responds to endotoxins by triggering the acute inflammatory response system to eliminate the threat posed by gram-negative bacteria (endotoxin) and restore health. However, an uncontrolled inflammatory response can lead to tissue damage, organ failure, and ultimately death; this is clinically known as sepsis. Pro-inflammatory mediators (e.g., interleukin-6 (IL − 6) and tumor necrosis factor (TNF )) up-regulate the inflammatory response, and anti-inflammatory mediators (e.g., interleukin-10 (IL−10)) downregulate the inflammatory signals. In this work, an 8-state (8-D) differential equation model of the acute inflammatory response system to endotoxin challenge was developed. Endotoxin challenges at 3 and 12 mg/kg were administered to rats, and dynamic cytokine data for IL-6, TNF, and IL-10 were obtained and used to calibrate the model. Finally, model validation was performed by comparing the model predictions at an endotoxin challenge level of 6 mg/kg with experimental data from rats at the same level. This 8-D model successfully captured the cytokine dynamics after perturbation with endotoxin at various challenge levels, which indicates that the model may provide insight into the interactions between phagocytic cells and pro/anti-inflammatory mediators.
Differential distribution of dystrophins in rat retina.

PURPOSE Duchenne muscular dystrophy is frequently associated with a reduced amplitude of b-wave under scotopic conditions in the electroretinogram. This suggests that the dystrophin gene-encoded proteins play a role in retinal neurotransmission. The abnormal neurotransmission has been attributed to altered expressions of C-terminal products of the dystrophin gene in the outer plexiform layer, where photoreceptor cells form synapses with secondary neurons. The present study was undertaken to determine the cellular distribution of each member of the dystrophin superfamily in rat retina. METHODS Examined in the study were the developmental pattern of dystrophins in rat retinae that exhibit inherited progressive photoreceptor degeneration; dystrophins messengers expression in the outer and the inner retina of normal rats, prepared by mechanical fractionation through the outer plexiform layer; and immunolocalization of dystrophin proteins and utrophin in normal and degenerated adult rat retinae, with several antibodies prepared against specific regions of the dystrophin superfamily. RESULTS The results showed that Dp260 is exclusively localized in photoreceptor cells; Dp140 seems to be present in perivascular astrocytes; the exon 78 spliced isoform of Dp71 and the unspliced form are located in Müller glial cells and in perivascular astrocytes, respectively. Müller glial cells also contain utrophin. CONCLUSIONS Although the role of these membrane cytoskeletal proteins remains to be elucidated in retina, the results support the hypothesis that b-wave reduction may be caused by molecular anomalies of C-terminal products of the dystrophin gene expressed in both neuron and glial cells.
Pursuit of change versus organizational inertia: a study on strategic renewal in the Finnish broadcasting company

Päivi Maijanen-Kyläheiko PURSUIT OF CHANGE VERSUS ORGANIZATIONAL INERTIA: A STUDY ON STRATEGIC RENEWAL IN THE FINNISH BROADCASTING COMPANY Lappeenranta 2014 136 pages Acta Universitatis Lappeenrantaensis Diss. Lappeenranta University of Technology ISBN 978-952-265-706-0, ISBN 978-952-265-707 (PDF), ISSN-L 1456-4491, ISSN 1456-4491 This doctoral dissertation explores the intra-organizational dynamics of a strategic renewal process. The main research question is how the pursuit of change and organizational inertia co-exist, intertwine, and collide in organizational cognition and capabilities during the strategic renewal. It is a comprehensive study on how organizational capabilities, organizational cognition, and structure enhance and inhibit change. Theoretically, the study is positioned in the modern tradition of strategy research, using the dynamic capability view and the organizational and managerial cognition research tradition as the main theoretical frames. Empirically, the study is a longitudinal case study of the Finnish Broadcasting Company (Yle), following the organizational changes during the years of 2011-1014. The analysis is based on both quantitative and qualitative data, which was collected during the research process using surveys, interviews, and archives. The main theoretical contribution is the application of the two theoretical approaches in one study. Empirically, the study contributes to operationalization of the concepts related to the dynamic capability view and organizational cognition, in a media context that is going through drastic changes due to digitalization. Furthermore, the case of a public broadcasting company extends the application of the theoretical concepts to the context of public management. The results suggest that renewal is a complex process, in which an organization’s perceptions intertwine with the strategic actions and decision-making. The change evolves pathdependently: the past experiences, routines, and organizational structures tend to dictate the future visions, desires, and actions. The study also reveals how the public nature of an organization adds to the tensions between change and organizational inertia, and hampers the decision-making. The doctoral dissertation consists of six research papers, each of which explores the phenomenon under study from a different perspective.
Polymorphisms at Residue 222 of the Hemagglutinin of Pandemic Influenza A(H1N1)pdm09: Association of Quasi-Species to Morbidity and Mortality in Different Risk Categories

The D222G substitution in the hemagglutinin (HA) gene of the pandemic influenza A(H1N1)pdm09 virus has been identified as a potential virulence marker, because this change allows for virus invasion deeper into the respiratory tract. In this study, we analyzed D, G and N polymorphisms at residue 222 by pyrosequencing (PSQ). We initially analyzed 401 samples from Brazilian patients. These were categorized with respect to clinical conditions due to influenza infection (mild, serious or fatal) and sub-stratified by risky factors. The frequency of mixed population of virus, with more than one polymorphism at residue 222, was significantly higher in serious (10.6%) and fatal (46.7%) influenza cases, whereas those who showed mild influenza infections were all infected by D222 wild-type. Mixtures of quasi-species showed a significant association of mortality, especially for those with risk factors, in special pregnant women. These results not only reinforce the association between D222G substitution and influenza A(H1N1)pdm09-associated morbidity and mortality, but also add the perspective that a worse clinical prognosis is most likely correlated with mixtures of quasi-species at this HA residue. Therefore, quasi-species may have a critical and underestimated role in influenza-related clinical outcomes.
The correlation of star formation quenching with internal galaxy properties and environment

We investigate the correlation of star formation quenching with internal galaxy properties and large-scale environment (halo mass) in empirical data and theoretical models. We make use of the halo-based group catalogue of Yang and collaborators, which is based on the Sloan Digital Sky Survey. Data from the Galaxy evolution explorer are also used to extract the recent star formation rate. In order to investigate the environmental effects, we examine the properties of 'central' and 'satellite' galaxies separately. For central galaxies, we are unable to conclude whether star formation quenching is primarily connected with halo mass or stellar mass, because these two quantities are themselves strongly correlated. For satellite galaxies, a nearly equally strong dependence on halo mass and stellar mass is seen. We make the same comparison for five different semi-analytic models based on three independently developed codes. We find that the models with active galactic nuclei feedback reproduce reasonably well the dependence of the fraction of central red and passive galaxies on halo mass and stellar mass. However, for satellite galaxies, the same models badly overproduce the fraction of red/passive galaxies and do not reproduce the empirical trends with stellar mass or halo mass. This satellite overquenching problem is caused by the too-rapid stripping of the satellites' hot gas haloes, which leads to rapid strangulation of star formation.
Subthreshold SCL for ultra-low-power SRAM and low-activity-rate digital systems

The power efficiency of source-coupled logic (SCL) topology for implementing ultra-low-power and low-activity-rate circuits is investigated. It is shown that in low-activity-rate circuits, where the subthreshold leakage consumption of conventional CMOS circuits is more pronounced, subthreshold SCL (STSCL) can be used effectively for reducing the power consumption. An STSCL-based static random-access memory (SRAM) array has been implemented to demonstrate the performance of this topology for ultra-low-power consumption and low-activity-rate digital circuits. A novel 9T memory cell has been developed to reduce the stand-by (leakage) current to 10pA/cell while the SRAM array is operating at 2.1MHz clock frequency. The power consumption benefits of the proposed circuit style can be maintained in nanometer CMOS technology nodes.