Miracle-dz/UniFAR-FTUs huggingface dataset:
A study on properties of GM(1,1) model and direct GM(1,1) model

In this paper, the properties of the GM(1,1) model and the direct GM(1,1) model are studied . The fact that both the GM(1, 1) model and the direct GM(1,1) model are biased exponential models is shown, and the characteristics of the deviation of the two models are analyzed. Therefore, the essence of the error of the GM(1,1) model and the direct GM(1,1) model is clarified. Furthermore, the comparison between the GM(1,1) model and the direct GM(1,1) model is given here. Many valuable results are drawn from the study, which lead to the better application of grey model to its relevant fields.
Efficient and contorlled sharing of privacy data in social networks

Online social networks(OSNs) become a successful portal for millions of Internet users. These OSNs offer attractive means for social interactions and information sharing, but also raise a number issues in security and privacy. While OSNs allow users to restrict access to shared data, they do not currently provide any mechanism to enforce the privacy over data associated with multiple users. To share the private content and data our analysis presents an approach to enable the protection of shared data associated with multiple users in online social networks. We formulate an access control model to capture the essence of multiparty authorization requirements along with a multiparty policy specification scheme and enforcement mechanism. Our access control model allows us to overcome the disadvantages of existing system and perform various analysis tasks on privacy data sharing and selection strategies using the multiparty access control Framework (MACF).
Progressive Responses to Populism: A Polanyian Critique of Liberal Discourse

This article explores the recent rise of populist politics from the perspective of Karl Polanyi's theory of the ‘double movement’. It firstly introduces Polanyi's understanding of interwar populism, and relates this to his broader critique of liberal economic thought. This framework is then used to analyse three prominent explanations for populism which emerged in the wake of the UK's 2016 EU referendum: globalisation; cultural reaction; and social media. I show how each of these explanations exogenises contemporary populist movements, narrating them as something external to the liberal economic restructuring pursued globally since the 1980s. Failing to diagnose adequately the causes of contemporary populist movements, which lie in this utopian attempt to treat labour as a commodity, they cannot support an intellectually coherent progressive response to Brexit. Finally, I outline a political agenda centred on labour de-commodification, which could directly address populist grievances and reclaim the discourse of ‘taking back control’ for the left.
An Efficient Priority Based Routing Technique That Maximizes the Lifetime and Coverage of Wireless Sensor Networks

Recent development in sensor technologies makes wireless sensor networks (WSN) very popular in the last few years. A limitation of most popular sensors is that sensor nodes have a limited battery capacity that leads to lower the lifetime of WSN. For that, it raises the need to develop energy efficient solutions to keep WSN functioning for the longest period of time. Due to the fact that most of the nodes energy is spent on data transmission, many routing techniques in the literature have been proposed to expand the network lifetime such as the Online Maximum Lifetime heuristics (OML) and capacity maximization (CMAX). In this paper, we introduce an efficient priority based routing power management heuristic in order to increase both coverage and extend lifetime by managing the power at the sensor level. We accomplished that by setting priority metric in addition to dividing the node energy into two ratios; one for the sensor node originated data and the other part is for data relays from other sensors. This heuristic, which is called pERPMT (priority Efficient Routing Power Management Technique), has been applied to two well know routing techniques. Results from running extensive simulation runs revealed the superiority of the new methodology pERPMT over existing heuristics. The pEPRMT increases the lifetime up to 77% and 54% when compared to OML and CMAX respectively.
Weathering the storm: Children's long‐term recall of Hurricane Andrew

Children who experienced a highly stressful natural disaster, Hurricane Andrew, were interviewed within a few months of the event, when they were 3–4 years old, and again 6 years later, when they were 9–10 years old. Children were grouped into low, moderate, or high stress groups depending on the severity of the experienced storm. All children were able to recall this event in vivid detail 6 years later. In fact, children reported over twice as many propositions at the second interview as at the first. At the initial interview, children in the high stress group reported less information than children in the moderate stress group, but 6 years later, children in all three stress groups reported similar amounts of information. However children in the high stress group needed more questions and prompts than children in the other stress groups. Yet children in the high stress group also reported more consistent information between the two interviews, especially about the storm, than children in the other stress groups. Implications for children's developing memory of stressful events are discussed.
Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports.

PURPOSE To evaluate translation of chest radiographic reports by using natural language processing and to compare the findings with those in the literature. MATERIALS AND METHODS A natural language processor coded 10 years of narrative chest radiographic reports from an urban academic medical center. Coding for 150 reports was compared with manual coding. Frequencies and co-occurrences of 24 clinical conditions (diseases, abnormalities, and clinical states) were estimated. The ratio of right to left lung mass, association of pleural effusion with other conditions, and frequency of bullet and stab wounds were compared with independent observations. The sensitivity and specificity of the system's pneumothorax coding were compared with those of manual financial coding. RESULTS The system coded 889,921 reports on 251,186 patients. On the basis of manual coding of 150 reports, the processor's sensitivity (0.81) and specificity (0.99) were comparable to those previously reported for natural language processing and for expert coders. The frequencies of the selected conditions ranged from 0.22 for pleural effusion to 0.0004 for tension pneumothorax. The database confirmed earlier observations that lung cancer occurs in a 3:2 right-to-left ratio. The association of pleural effusion with other conditions mirrored that in the literature. Bullet and stab wounds decreased during 10 years at a rate consistent with crime statistics. A review of pneumothorax cases showed that the database (sensitivity, 1.00; specificity, 0.996) was more accurate than financial discharge coding (sensitivity, 0.17; P =.002; specificity, 0.996; not significant). CONCLUSION Internal and external validation in this study confirmed the accuracy of natural language processing for translating chest radiographic narrative reports into a large database of information.
Designing a power-line-communication-based LoM protection concept with application of software-defined radios

Islanding condition in an electricity distribution grid occurs when a distributed generator (DG) continues to power parts of the grid, when connection with the power utility is lost. This situation can cause severe and fatal personal injuries, equipment damage, and power quality degradation. In this paper, communication-based anti-islanding, that is, a loss-of-mains (LoM) protection system for electricity distribution grids in Finland is proposed and studied. The LoM protection concept is based on power line communication (PLC). Detailed analyses of the electrical grid environment, channel characteristics, and a suitable operational frequency band and range for the PLC are presented. Software-defined radios (SDRs) are applied as a flexible platform in designing and testing a PLC-based anti-islanding protection system. Laboratory tests are carried out, the results are analyzed, and recommendations for future studies are made.
Low latency optical switch for high performance computing with minimized processor energy load [invited]

Power density and cooling issues are limiting the performance of high performance chip multiprocessors (CMPs), and off-chip communications currently consume more than 20% of power for memory, coherence, PCI, and Ethernet links. Photonic transceivers integrated with CMPs are being developed to overcome these issues, potentially allowing low hop count switched connections between chips or data center servers. However, latency in setting up optical connections is critically important in all computing applications, and having transceivers integrated on the processor chip also pushes other network functions and their associated power consumption onto the chip. In this paper, we propose a low latency optical switch architecture that minimizes the power consumed on the processor chip for two scenarios: multiple-socket shared memory coherence networks and optical top-of-rack switches for data centers. The switch architecture reduces power consumed on the CMP using a control plane with a simplified send and forget server interface and the use of a hybrid Mach-Zehnder interferometer and semiconductor optical amplifier integrated optical switch with electronic buffering. Results show that the proposed architecture offers a 42% reduction in head latency at low loads compared with a conventional scheduled optical switch as well as offering increased performance for streaming and incast traffic patterns. Power dissipated on the server chip is shown to be reduced by more than 60% compared with a scheduled optical switch architecture with ring resonator switching.
A Research on the Impacts of the Young People’s Internet Addiction Levels and their Social Media Preferences

The aim of this study is to determine whether or not internet addiction levels of young people lead to differences in social media use intentions. The study consists of two main parts. In the literature review section where the conceptual framework is tried to be formed, internet addiction and social media concepts are defined, and information on social media use is given. Following the conceptual framework, the hypothesis to test whether or not the addiction has led to differences in the intended use is analyzed with a sample of 756 participants. The results of the research study suggest that 96.8% of the young people use the Internet on a daily basis, 91.2% use mobile phones for the Internet access, 0.61 of the young people are addicted to it, and 0.391 of them spend 5 - 6 hours online every day. Facebook is seen as the most preferred social media tool. Young people use the social media mostly to establish communication and to make various kinds of sharing. It is worried that the young people’s quality of life and mental health may be negatively affected in the later years. For this, first of all, the government needs to conduct studies on media literacy and create different social fields such as sports facilities, theaters, etc. where the young people can socialize with each other. In the conclusion of the study, the effects in question are evaluated, and the state, business managers, marketing researchers and marketing researchers are presented with suggestions.
NEUROPSYCHOLOGICAL AND MATHEMATICAL PERFORMANCE IN CHILDREN AND ADOLESCENTS WITH BRAIN INJURY: A MULTIPLE-CASE STUDY

Many students have struggled with mathematics along school years. The achievement of mathematical competences depends not only upon the acquisition of knowledge on numerical concepts, calculation procedures and arithmetical rules, but also upon the development of specific cognitive skills, such as those related to problem-solving and visuospatial processing. Such functions are often impaired in cases of brain damage during childhood, depending on variables such as the extent and location of cerebral lesions. Discussions regarding possible associations between mathematical performance and cognitive processes may contribute to a better understanding of the neuropsychological expressions of low mathematical achievement showed by brain damaged students. In this multiple-case study, five male children and adolescents between ages of 12 and 15, suffering from brain damages of different etiologies, and varying location and extent of injuries, with normal intellectual performance and with complaints of difficulties in math, were submitted to mathematical achievement tests (including a Brazilian educational exam, the SARESP), and to neuropsychological assessment. The results indicated that difficulties in consolidating concepts of numbers, operations, arithmetical problem solving skills as well as visuoconstructive and executive functioning deficits – were predominant in all cases. Based on these observations, some reflections are raised regarding the relationship between neuropsychological deficits and low mathematical performance, considering Cognitive Psychology and Neuropsychology models.
MODELING AND OPTIMIZATION OF SINGLE-ELEMENT BULK SiGe THIN-FILM COOLERS

Abstract Modeling and optimization of bulk SiGe thin-film coolers are described. Thin-film coolers can provide large cooling power densities compared to commercial thermoelectrics. Thin-film SiGe coolers have been demonstrated with maximum cooling of 4°C at room temperature and with cooling power density exceeding 500 W/cm2. Important parameters in the design of such coolers are investigated theoretically and are compared with experimental data. Thermoelectric cooling, joule heating, and heat conduction are included in the model as well as non-ideal effects such as contact resistance, geometrical effects, and three-dimensional thermal and electrical spreading resistance of the substrate. Simulations exhibit good agreement with experimental results for bulk Si and SiGe thin-film coolers. It turned out that in many spot cooling applications using two n- and p-elements electrically in series and thermally in parallel does not give significant improvement over single leg elements. This is in contrast to conventional thermoelectric modules and is due to the aspect ratio and special geometry of thin film coolers. With optimization of SiGe thin-film cooler, simulations predict it can provide over 16°C with cooling power density of over 2000 W/cm2.
The Convergence of Glutamate and GABA Dysregulation in Schizophrenia

Schizophrenia (SCZ) is a heterogeneous neurodevelopmental disorder that afflicts about 1% of the world population, imposing a huge financial and social burden on the community. Schizophrenia is characterized by three core features, positive (e.g., hallucinations, delusions) and negative symptoms (e.g., emotional blunting, reduced motivation), as well as cognitive impairments (i.e., working memory and attention deficits). Current antipsychotic treatments, which primarily target dopamine receptors, are effective at alleviating positive symptoms. However, dopamine‐specific therapies are insufficient to relieve negative symptoms and cognitive impairments, indicating other neuronal systems are involved in SCZ. Evidence for hypofunction‐ ing glutamate and gamma‐aminobutyric acid (GABA) transmission in forebrain tissue has continued to culminate as major contributors to the onset of SCZ. Furthermore, recent genetic studies reveal disrupted mutations in neurodevelopmental proteins at glutamatergic and GABAergic synapses that are potentially responsible for the syn‐ aptic abnormalities seen in the disorder. Therefore, schizophrenia symptomatology is influenced by interactions of several neurotransmitter systems. In this chapter, we focus on how glutamatergic and GABAergic hypofunctioning contribute to the variety of symptoms presented in SCZ and its etiology. We also review the current treatment options with respect to their mechanism of action, side effects, and limitations and provide perspective of where research should be directed to move forward with treat‐ ing this debilitating disease.
Trusted Detection of Sensitive Activities on Mobile Phones Using Power Consumption Measurements

The unprecedented popularity of modern mobile phones has made them a lucrative target for skillful and motivated offenders. A typical mobile phone is packed with sensors, which can be turned on silently by a malicious program, providing invaluable information to the attacker. Detecting such hidden activities through software monitors can be blindfolded and bypassed by rootkits and by anti-forensic methods applied by the malicious program. Moreover, detecting power consumption by software running on the mobile phone is susceptible to similar evasive techniques. Consequently, software based detection of hidden malicious activities, particularly the silent activation of sensors, cannot be considered as trusted. In this paper we present a method which detects hidden activities using external measurement of power consumption. The classification model is acquired using machine-learning multi-label classification algorithms. Our method overcomes the inherent weaknesses of software-based monitors, and provides a trusted solution. We describe the measurement setup, and provide detailed evaluation results of the algorithms used. The results obtained so far support the feasibility of our method.
A Tradeoff between Caching Efficiency and Data Protection for Video Services in CCN

Content-centric networking (CCN) is a prominent future Internet architecture, which deals with content as a first class citizen. While CCN can achieve the efficient content delivery by name-based routing and in-network caching, it reveals many security issues to be investigated yet. We consider video streaming services as a representative example to investigate the tradeoff between data protection and caching efficiency in CCN. We seek to explore the relation among the cache hit ratio, key management overhead, and peak signal-to-noise ratio (PSNR) in MPEG video streaming in CCN. Moreover, we present a CCN security framework that provides privacy, access control, and user authentication. This paper also discusses both analytic models and simulation results of the varying degrees of data protection, decodability/quality of video, and cache effectiveness.
Nitroxyl (HNO) Stimulates Soluble Guanylyl Cyclase to Suppress Cardiomyocyte Hypertrophy and Superoxide Generation

Background New therapeutic targets for cardiac hypertrophy, an independent risk factor for heart failure and death, are essential. HNO is a novel redox sibling of NO• attracting considerable attention for the treatment of cardiovascular disorders, eliciting cGMP-dependent vasodilatation yet cGMP-independent positive inotropy. The impact of HNO on cardiac hypertrophy (which is negatively regulated by cGMP) however has not been investigated. Methods Neonatal rat cardiomyocytes were incubated with angiotensin II (Ang II) in the presence and absence of the HNO donor Angeli's salt (sodium trioxodinitrate) or B-type natriuretic peptide, BNP (all 1 µmol/L). Hypertrophic responses and its triggers, as well as cGMP signaling, were determined. Results We now demonstrate that Angeli's salt inhibits Ang II-induced hypertrophic responses in cardiomyocytes, including increases in cardiomyocyte size, de novo protein synthesis and β-myosin heavy chain expression. Angeli's salt also suppresses Ang II induction of key triggers of the cardiomyocyte hypertrophic response, including NADPH oxidase (on both Nox2 expression and superoxide generation), as well as p38 mitogen-activated protein kinase (p38MAPK). The antihypertrophic, superoxide-suppressing and cGMP-elevating effects of Angeli's salt were mimicked by BNP. We also demonstrate that the effects of Angeli's salt are specifically mediated by HNO (with no role for NO• or nitrite), with subsequent activation of cardiomyocyte soluble guanylyl cyclase (sGC) and cGMP signaling (on both cGMP-dependent protein kinase, cGK-I and phosphorylation of vasodilator-stimulated phosphoprotein, VASP). Conclusions Our results demonstrate that HNO prevents cardiomyocyte hypertrophy, and that cGMP-dependent NADPH oxidase suppression contributes to these antihypertrophic actions. HNO donors may thus represent innovative pharmacotherapy for cardiac hypertrophy.
Heroism and the Pursuit of a Meaningful Life

Individuals and groups of individuals are motivated to find meaning in their activities and in life, generally. That is, when events or affective states threaten or reduce a person’s sense of meaning, psychological processes are mobilized to serve the goals of meaning maintenance and meaning reestablishment, respectively. We examined two avenues for meaning maintenance: First, we considered psychological resources from the enhancing, moral modelling, and protecting functions of heroes, and second, we considered engagement in heroic behavior as a means to create meaning. We addressed contemporary heroes via conceptual and empirical literatures to discuss a variety of ways that heroes derive meaning from their own actions, and the extent to which others could glean personal meaning from a hero’s characteristics and actions. We present a meaning regulation framework that explains how heroes and heroic behavior each boost meaning and the meaning maintenance processes, such as heroism as a buffer against meaning threats. We synthesized relevant literatures on meaning and heroism, and offer a framework that illustrates heroic functions in the context of meaning in life: a central, superordinate psychological variable that is familiar to many individuals and groups. This framework offers many opportunities for future research and practical application of heroism.
Blow-up and Decay Bounds in Hamilton–Jacobi-type Problems

In this paper, we investigate a class of nonlinear parabolic problems, known as viscous Hamilton‐Jacobi-type problems. We establish conditions on data sufficient to insure that blow-up occurs in finite time. Moreover, conditions on data and geometry of the spatial domain are derived, ensuring the solution to exist for all time with exponential decay.
Electron and neutron electric dipole moments in the constrained MSSM

We analyze the effects of $\mathrm{CP}$-violating phases on the electric dipole moment (EDM) of the electron and neutron in the constrained minimal supersymmetric model. We find that the phases ${\ensuremath{\varphi}}_{\ensuremath{\mu}}$ and ${\ensuremath{\varphi}}_{{A}_{0}}$ have to be strongly correlated, in particular for small values of the SUSY mass parameters. We calculate the neutron EDM in two different models, the quark-parton model and the chiral quark model. It turns out that the predictions are quite sensitive to the model used. We show parameter regions in the ${M}_{0}\ensuremath{-}{M}_{1/2}$ plane which are excluded by considering simultaneously the experimental bounds of both electron and neutron EDM, assuming specific values for the phases ${\ensuremath{\varphi}}_{\ensuremath{\mu}}$ and ${\ensuremath{\varphi}}_{{A}_{0}}$.