Miracle-dz/UniFAR-FTUs huggingface dataset:
Trie Tree Probabilistic Password Cracking Method Based on FPGA

Password recovery technology is an important means of Internet electronic evidence. For the low hit rate and slow generation of password cracking, a trie tree probabilistic password cracking method based on FPGA is proposed. Firstly, through the leaked password set, we analyze the user password structure and study the correlation information between characters. Then using the trie tree time-space tradeoff structure features to build password trie tree, which can improve the cracking hit rate. Secondly, the high-speed trie tree password generation algorithm is designed and implemented on FPGA, which speeds up the password generation. Finally, heterogeneous systems are built with CPU and FPGA to achieve a complete application of this method, and some highperformance password recovery algorithms are attacked. The experimental results and analysis show that the password generation speed of this method is about 13 times higher than that of CPU. Compared with the JtR and PCFG attacks, the recovery efficiency and hit rate are improved, and this method has better practical value.
Motivational Aspects for Voluntary Participation in Open Government Platforms: a Look from the Users Perspective

Governments have taken important initiatives to strengthen social control and increase the effectiveness of their actions, especially those aimed at Open Government, which seek to publicize data to encourage social participation in public management through technology platforms. Thus, the objective of this research was to identify the set of motivational aspects that encourage citizens to use the Open Government electronic platforms. In the method, 67 semi-structured interviews were conducted with individuals with experience in these platforms and the data were analyzed qualitatively with the support of Atlas.ti software. The results obtained revealed 18 users´ motivational aspects for participation in Open Government platforms, which could be combined in technological, altruistic and affective factors. The affective factors (indignation, duty of citizens, contributing something, social improvement, seeking solutions, transparency and accountability) are what motivate users the most.
Automatic detection of depression from text data: A systematic literacture review

Depression is a mental disorder that affects hundreds of millions of people worldwide, with potentially serious consequences if left without treatment. Despite that, many people still suffer from depression without a diagnosis. Recently, the amount of studies related to the automatic detection of depression has improved. The objective of this paper is to identify the methods and techniques used by studies about depression detection through text data, by conducting a systematic review.
Demographic and Attitudinal Factors of Adherence to Quarantine Guidelines During COVID-19: The Italian Model

In Italy, a large outbreak of coronavirus disease 2019 (COVID-19) occurred from 2020 January 30, before the World Health Organization has stated that it is a pandemic. The nationwide quarantine had the desired impact of controlling the epidemic, although had presented many challenges, given its large economic and social costs. Complete adherence to recommendations can potentially decelerate and reduce infectious disease outbreaks. To date, it is not clear how compliant the Italian public has been with voluntary home quarantine, neither which factors have influenced an individual’s decision to comply with a quarantine order. The purposes of this study were to investigate the degree of the adherence to quarantine restrictions and the factors associated with the self-reported adherence. During the third week of the national lockdown, 3,672 Italian quarantined adult residents (65% females; range, 18–85 years) participated in an online cross-sectional survey focused on the risk perception of contracting COVID-19 and their reported adherence to quarantine protocols. Analysis of variance showed significant differences among demographic groups in tendency to comply with quarantine orders, with women, most educated people, residents of Southern Italy, middle-aged individuals, and health workers more likely to adhere to quarantine guidelines. As well, participants exhibiting the perception, anxiety, and susceptibility of risk of contracting COVID-19 disease were found significantly more likely to adhere to quarantine guidelines. The results of this study can help public health policy makers to recognize target populations for COVID-19 prevention and health education and to understand how inform communication strategies aimed at minimizing the impact and spread of the disease.
Influence of Low-Magnitude High-Frequency Vibration on Bone Cells and Bone Regeneration

Bone is a mechanosensitive tissue for which mechanical stimuli are crucial in maintaining its structure and function. Bone cells react to their biomechanical environment by activating molecular signaling pathways, which regulate their proliferation, differentiation, and matrix production. Bone implants influence the mechanical conditions in the adjacent bone tissue. Optimizing their mechanical properties can support bone regeneration. Furthermore, external biomechanical stimulation can be applied to improve implant osseointegration and accelerate bone regeneration. One promising anabolic therapy is vertical whole-body low-magnitude high-frequency vibration (LMHFV). This form of vibration is currently extensively investigated to serve as an easy-to-apply, cost-effective, and efficient treatment for bone disorders and regeneration. This review aims to provide an overview of LMHFV effects on bone cells in vitro and on implant integration and bone fracture healing in vivo. In particular, we review the current knowledge on cellular signaling pathways which are influenced by LMHFV within bone tissue. Most of the in vitro experiments showed that LMHFV is able to enhance mesenchymal stem cell (MSC) and osteoblast proliferation. Furthermore, osteogenic differentiation of MSCs and osteoblasts was shown to be accelerated by LMHFV, whereas osteoclastogenic differentiation was inhibited. Furthermore, LMHFV increased bone regeneration during osteoporotic fracture healing and osseointegration of orthopedic implants. Important mechanosensitive pathways mediating the effects of LMHFV might be the Wnt/beta-catenin signaling pathway, the estrogen receptor (ER) signaling pathway, and cytoskeletal remodeling.
"Am I doing this all wrong?"

Running a household requires a large amount of labor, from ensuring multiple bills are paid to organizing important documents. Failure to manage such information can have critical consequences for the financial and psychological well-being of the family; however, little is known about how families manage the full scale of information encountered in the home. In this paper, we introduce family information management (FIM) as a set of overarching practices involved in managing and coordinating household-related information. To understand how families engage in FIM, we conducted in-depth interviews with members of ten families, which included guided tours of their information archives. We found that families struggle to organize, store, retrieve, and share information, and that there are significant socioemotional costs to this work. We propose opportunities for designing technologies to support FIM and argue that, given the numerous challenges and unmet needs, the understudied area of FIM deserves further investment of research and design efforts.
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures

The ability to encode and manipulate data structures with distributed neural representations could qualitatively enhance the capabilities of traditional neural networks by supporting rule-based symbolic reasoning, a central property of cognition. Here we show how this may be accomplished within the framework of Vector Symbolic Architectures (VSAs) (Plate, 1991; Gayler, 1998; Kanerva, 1996), whereby data structures are encoded by combining high-dimensional vectors with operations that together form an algebra on the space of distributed representations. In particular, we propose an efficient solution to a hard combinatorial search problem that arises when decoding elements of a VSA data structure: the factorization of products of multiple codevectors. Our proposed algorithm, called a resonator network, is a new type of recurrent neural network that interleaves VSA multiplication operations and pattern completion. We show in two examples—parsing of a tree-like data structure and parsing of a visual scene—how the factorization problem arises and how the resonator network can solve it. More broadly, resonator networks open the possibility of applying VSAs to myriad artificial intelligence problems in real-world domains. The companion article in this issue (Kent, Frady, Sommer, & Olshausen, 2020) presents a rigorous analysis and evaluation of the performance of resonator networks, showing it outperforms alternative approaches.
How do Business Factors Affect Developers in Mobile Software Ecosystems?

Mobile Software Ecosystem (MSECO) is the kind of ecosystem in which developers build applications to attend the users of mobile technologies (e.g., Android and iOS). In an MSECO, the developers are responsible for the creation of new software solutions, and this drives the ecosystem profits. Therefore, we aimed to identify which business factors are considered important to developers and how they affect them to participate in an MSECO. To do so, we conducted: i) a Systematic Mapping Study to reach the MSECO studies regarding developers’ motivation; and ii) a Field Study to verify the findings based on interviews with 20 developers of mobile technologies. As a result, we found 12 business factors (e.g., Market Opportunities, Distribution Channels) that affect developers to adopt and participate in an MSECO, as well as some opinions about each factor. As an output, we aim to support developers regarding which factors may become important to them through the opinion of these business factors by other developers.
Dynamic Simulation of Modular Robot Joint with Friction and Flexibility

Nonlinear factors such as friction, flexibility, hysteresis and kinematic error is introduced due to harmonic drives are used as transmission system in modular joints, which affect performance of robotic joint. Hence characterization and control of these nonlinear attributes is important to improve the precision. Nonlinear attributes including friction and flexibility in robotic joint is mainly studied in this paper. The modular joint is divided into high-speed and low-speed side respectively based on the joint characteristics. An accurate and practical mixed friction model based on the static, Coulomb and Stribeck friction are built for the complex friction characteristics in the high-speed and low-speed side, velocity is used as the switching condition of the mixed friction model. Flexibility model is established by the linear spring model. The joint dynamic model is realized and simulated by Simulink to validate the dynamic model. The results showed that the Mixed friction model can better reflect the various friction phenomenon in the joint compared with the traditional friction model.
Product Quality for Smart Cities Applications: A Mapping Study

In recent years, the domain of applications and information systems for Smart Cities (SC) has emerged and motivated researchers and practitioners to develop relevant solutions. The development of applications for SC involves many specificities, such as: (i) processing and analysis of large volumes of data; (ii) context-awareness; (iii) perception and actuation on physical elements of the city; and (iv) maintaining citizens’ privacy and security. It is important to ensure that these specificities have an adequate level of quality that enables the daily use of these applications in these cities. However, there is still no consolidated set of properties and / or characteristics that should be considered when evaluating the quality of this specific type of application. The goal of this work is to identify the characteristics and sub-characteristics of product quality that are being considered in the evaluation of applications and information systems in the context of SC. To do this, a Mapping Study was conducted, aiming to present an overview of the current state of the art in product quality for this context. Additionally, an analysis was carried out between the product quality characteristics of the ISO / IEC 25010: 2011 model with the characteristics identified in this mapping. As a result, eight related works, which deal with characteristics, such as Reliability, Compatibility, Maintenance, and Safety have been identified. Finally, there is a need for more detailed specifications of characteristics that enable the quality assurance of SC applications.
Injection-moulding of nitrogen-foamed bio-based microcellular poly(butylene succinate): Processing conditions/foam structure/flexural properties relationship

This paper aims to identify the main processing parameters that optimize as well the microcellular structure (cell size, cell density) of nitrogen (N2) foamed injection-moulded poly(butylene succinate) (PBS) as the resultant flexural properties of the part. The part beam geometry was designed so as to reproduce some geometrical shapes (e.g. thickness change, ribs, bosses or holes) occurring on most of industrial parts. A Taguchi L9 design of experiments (DOE) has been first used to quantify the effects of processing conditions on microcellular structure and mechanical performances. Among the processing parameters, the melt temperature, gas content, injection volumetric flow rate and back pressure were chosen for the DOE due to their level of influence on gas dissolution and nucleation phases. An analysis of variance (ANOVA) showed that the microcellular structure depended mainly on nitrogen content and, to a lesser extent, on back pressure representation of gas pressure saturation in the PBS/N2 system during the feeding stage. The resultant specific flexural properties were controlled by the skin/core ratio as well as the finesse of foam structure (cell sizes, cell density) but a 15% loss in specific performances was noted compared with the unfoamed part. The microcellular structure/mechanical performances could be thus established from the microstructure analysis. In a second step, the foamed microcellular structure has been improved by introduction of micro-talc in the PBS acting as cell nucleating agent (heterogeneous nucleation). A significant increase in cell density and cell reduction (40%) were observed.
Natural Killer Cells and Host Defense Against Human Rhinoviruses Is Partially Dependent on Type I IFN Signaling

Rhinovirus (RV), the causative agent of the common cold, causes only mild upper respiratory tract infections in healthy individuals, but can cause longer lasting and more severe pulmonary infections in people with chronic lung diseases and in the setting of immune suppression or immune deficiency. RV-infected lung structural cells release type I interferon (IFN-I), initiating the immune response, leading to protection against viruses in conjunction with migratory immune cells. However, IFN-I release is deficient in some people with asthma. Innate immune cells, such as natural killer (NK) cells, are proposed to play major roles in the control of viral infections, and may contribute to exacerbations of chronic lung diseases, such as asthma. In this study, we characterized the NK cell response to RV infection using an in vitro model of infection in healthy individuals, and determined the extent to which IFN-I signaling mediates this response. The results indicate that RV stimulation in vitro induces NK cell activation in healthy donors, leading to degranulation and the release of cytotoxic mediators and cytokines. IFN-I signaling was partly responsible for NK cell activation and functional responses to RV. Overall, our findings suggest the involvement of NK cells in the control of RV infection in healthy individuals. Further understanding of NK cell regulation may deepen our understanding of the mechanisms that contribute to susceptibility to RV infections in asthma and other chronic lung diseases.
Can you Turn it Off?

Contemporary mobile devices continuously interrupt people with notifications in various and changing physical environments. As different places can have different social setting, understanding how disturbing an interruption might be to people around the user is not a straightforward task. To understand how users perceive disturbance in their social environment, we analyze the results of a 3-week user study with 50 participants using the experience sampling method and log analysis. We show that perceptions of disturbance are strongly related to the social norms surrounding the place, such as whether the place is considered private or public, even when controlling for the number of people around the user. Furthermore, users' perceptions of disturbance are also related to the activity carried out on the phone, and the subjective perceptions of isolation from other people in the space. We conclude the paper by discussing how our findings can be used to design new mobile devices that are aware of the social norms and their users' environmental context.
Quaternary Ammonium Compound Disinfectants Reduce Lupus-Associated Splenomegaly by Targeting Neutrophil Migration and T-Cell Fate

Hypersensitivity reactions and immune dysregulation have been reported with the use of quaternary ammonium compound disinfectants (QACs). We hypothesized that QAC exposure would exacerbate autoimmunity associated with systemic lupus erythematosus (lupus). Surprisingly, however, we found that compared to QAC-free mice, ambient exposure of lupus-prone mice to QACs led to smaller spleens with no change in circulating autoantibodies or the severity of glomerulonephritis. This suggests that QACs may have immunosuppressive effects on lupus. Using a microfluidic device, we showed that ambient exposure to QACs reduced directional migration of bone marrow-derived neutrophils toward an inflammatory chemoattractant ex vivo. Consistent with this, we found decreased infiltration of neutrophils into the spleen. While bone marrow-derived neutrophils appeared to exhibit a pro-inflammatory profile, upregulated expression of PD-L1 was observed on neutrophils that infiltrated the spleen, which in turn interacted with PD-1 on T cells and modulated their fate. Specifically, QAC exposure hindered activation of splenic T cells and increased apoptosis of effector T-cell populations. Collectively, these results suggest that ambient QAC exposure decreases lupus-associated splenomegaly likely through neutrophil-mediated toning of T-cell activation and/or apoptosis. However, our findings also indicate that even ambient exposure could alter immune cell phenotypes, functions, and their fate. Further investigations on how QACs affect immunity under steady-state conditions are warranted.
DSM-5 Attenuated Psychosis Syndrome in Adolescents Hospitalized With Non-psychotic Psychiatric Disorders

Introduction: Although attenuated psychotic symptoms often occur for the first time during adolescence, studies focusing on adolescents are scarce. Attenuated psychotic symptoms form the criteria to identify individuals at increased clinical risk of developing psychosis. The study of individuals with these symptoms has led to the release of the DSM-5 diagnosis of Attenuated Psychosis Syndrome (APS) as a condition for further research. We aimed to characterize and compare hospitalized adolescents with DSM-5-APS diagnosis vs. hospitalized adolescents without a DSM-5-APS diagnosis. Methods: Interviewing help-seeking, hospitalized adolescents (aged 12–18 years) and their caregivers independently with established research instruments, we (1) evaluated the presence of APS among non-psychotic adolescents, (2) characterized and compared APS and non-APS individuals regarding sociodemographic, illness and intervention characteristics, (3) correlated psychopathology with levels of functioning and severity of illness and (4) investigated the influence of individual clinical, functional and comorbidity variables on the likelihood of participants to be diagnosed with APS. Results: Among 248 consecutively recruited adolescents (age=15.4 ± 1.5 years, females = 69.6%) with non-psychotic psychiatric disorders, 65 (26.2%) fulfilled APS criteria and 183 (73.8%) did not fulfill them. Adolescents with APS had higher number of psychiatric disorders than non-APS adolescents (3.5 vs. 2.4, p < 0.001; Cohen's d = 0.77), particularly, disruptive behavior disorders (Cramer's V = 0.16), personality disorder traits (Cramer's V = 0.26), anxiety disorders (Cramer's V = 0.15), and eating disorders (Cramer's V = 0.16). Adolescents with APS scored higher on positive (Cohen's d = 1.5), negative (Cohen's d = 0.55), disorganized (Cohen's d = 0.51), and general symptoms (Cohen's d = 0.84), and were more severely ill (Cohen's d = 1.0) and functionally impaired (Cohen's d = 0.31). Negative symptoms were associated with lower functional levels (Pearson ρ = −0.17 to −0.20; p = 0.014 to 0.031). Global illness severity was associated with higher positive, negative, and general symptoms (Pearson ρ = 0.22 to 0.46; p = 0.04 to p < 0.001). APS status was independently associated with perceptual abnormalities (OR = 2.0; 95% CI = 1.6–2.5, p < 0.001), number of psychiatric diagnoses (OR = 1.5; 95% CI = 1.2–2.0, p = 0.002), and impaired stress tolerance (OR = 1.4; 95% CI = 1.1–1.7, p = 0.002) (r2 = 0.315, p < 0.001). Conclusions: A considerable number of adolescents hospitalized with non-psychotic psychiatric disorders meet DSM-5-APS criteria. These help-seeking adolescents have more comorbid disorders and more severe symptoms, functional impairment, and severity of illness than non-APS adolescents. Thus, they warrant high intensity clinical care.
Validity of Winkler’s mattress model for thin elastomeric layers: beyond Poisson’s ratio

Winkler’s mattress model is often used as a simplified model to understand how a thin elastic layer, such as a coating, deforms when subject to a distributed normal load: the deformation of the layer is assumed proportional to the applied normal load. This simplicity means that the Winkler model has found a wide range of applications from soft matter to geophysics. However, in the limit of an incompressible elastic layer the model predicts infinite resistance to deformation, and hence breaks down. Since many of the thin layers used in applications are elastomeric, and hence close to incompressible, we consider the question of when the Winkler model is appropriate for such layers. We formally derive a model that interpolates between the Winkler and incompressible limits for thin elastic layers, and illustrate this model by detailed consideration of two example problems: the point-indentation of a coated elastomeric layer and self-sustained lift in soft elastohydrodynamic lubrication. We find that the applicability (or otherwise) of the Winkler model is not determined by the value of the Poisson ratio alone, but by a compressibility parameter that combines the Poisson ratio with a measure of the layer’s slenderness, which itself depends on the problem under consideration.