Miracle-dz/UniFAR-FTUs huggingface dataset:
Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols

Gossip protocols, also called rumor spreading or epidemic protocols, are widely used to disseminate information in massive peer-to-peer networks. These protocols are often claimed to guarantee privacy because of the uncertainty they introduce on the node that started the dissemination. But is that claim really true? Can one indeed start a gossip and safely hide in the crowd? This paper is the rst to study gossip protocols using a rigorous mathematical framework based on di erential privacy to determine the extent to which the source of a gossip can be traceable. Considering the case of a complete graph in which a subset of the nodes are curious, we derive matching lower and upper bounds on di erential privacy showing that some gossip protocols achieve strong privacy guarantees. Our results further reveal an interesting tension between privacy and dissemination speed: the standard "push" gossip protocol has very weak privacy guarantees, while the optimal guarantees are attained at the cost of a drastic increase in the spreading time. Yet, we show that it is possible to leverage the inherent randomness and partial observability of gossip protocols to achieve both fast dissemination speed and near-optimal privacy.
Adaptive hypofractionated gamma knife radiosurgery in the acute management of brainstem metastases

Background: Intrinsic brainstem metastases are life-threatening neoplasms requiring rapid, effective intervention. Microsurgery is considered not feasible in most cases and systemic treatment seldom provides a successful outcome. In this context, radiation therapy remains the best option but adverse radiation effects (ARE) remain a major concern. A dose-adaptive gamma knife procedure coined as Rapid Rescue Radiosurgery (3R) offers the possibility to treat these lesions whilst reducing the risk of ARE evolvement. We report the results of 3R applied to a group of patients with brainstem metastases. Methods: Eight patients with nine brainstem metastases, having undergone three separate, dose-adapted gamma knife radiosurgery (GKRS) procedures over 7 days, were retrospectively analyzed in terms of tumor volume reduction, local control rates, and ARE-development under the period of treatment and at least 6 months after treatment completion. Results: Mean peripheral doses at GKRS 1, GKRS 2, and GKRS 3 were 7.4, 7.7, and 8.2 Gy (range 6–9 Gy) set at the 35–50% isodose lines. Mean tumor volume reduction between GKRS 1 and GKRS 3 was −15% and −56% at first follow-up. Four patients developed radiologic signs of ARE but remained clinically asymptomatic. One patient developed a local recurrence at 34 months. Mean survival from GKRS 1 was 13 months. Two patients were still alive at the time of paper submission (10 and 23 months from GKRS 1). Conclusions: In this study, 3R proved effective in terms of tumor volume reduction, rescue/preservation of neurological function, and limited ARE evolvement.
Global Clinical Dementia Rating Score of 0.5 May Not Be an Accurate Criterion to Identify Individuals with Mild Cognitive Impairment

Many studies use the global clinical dementia rating (CDR) of 0.5 as a criterion for mild cognitive impairment, but past studies have not fully discussed its validity. The authors developed the ABC Dementia Scale (ABC-DS) to accurately monitor the changes in activities for daily living, behavioral and psychological symptoms of dementia, and cognitive function. When we carried out a cluster analysis of ABC-DS scores of 110 individuals for whom global CDR was 0.5, there were three groups with different levels of activities for daily living and cognitive function. O’Bryant et al. proposed a new guideline to stage dementia using the CDR sum of boxes scores (CDR-SOB). We used their proposal and ABC-DS scores to evaluate the validity of CDR 0.5 as a definition of mild cognitive impairment (MCI). We concluded that the CDR-SOB scores and ABC-DS score are more accurate than global CDR of 0.5 for specifying individuals with MCI.
Against Mindset

The security field has adopted the social construct of the security mindset: the idea that there exists a single attitude that allows individuals to think like an attacker. However, there is little evidence that the security mindset is an appropriate construct. We suggest an alternative approach, consisting of multiple security-relevant attitudes, which are linked to security roles within the systems development life-cycle. To illustrate the usefulness of our approach, we show how the framework can be used to help shape curricula.
GuiDance: Wearable Technology Applied to Guided Dance

We propose "GuiDance", a wearable technology application designed to guide users in a leader-follower dance (LFD). Instead of directing attention or movement to get to a certain place, which is the focus of most applications, our guidance will focus on indicating the dance steps, mirroring a LFD. The main goal is to facilitate dancing using wearable technology as a mediator. This work focuses on the guided part of the LFD. A wearable prototype was devised consisting of vibrotactile actuators controlled via a Unity-based interface. Two user studies show that users find our proposal enjoyable, interesting, and that it is possible to guide someone remotely to perform a dance through haptic feedback only.
The Early Pliocene extinction of the mega-toothed shark Otodus megalodon: a view from the eastern North Pacific

The extinct giant shark Otodus megalodon is the last member of the predatory megatoothed lineage and is reported from Neogene sediments from nearly all continents. The timing of the extinction of Otodus megalodon is thought to be Pliocene, although reports of Pleistocene teeth fuel speculation that Otodus megalodon may still be extant. The longevity of the Otodus lineage (Paleocene to Pliocene) and its conspicuous absence in the modern fauna begs the question: when and why did this giant shark become extinct? Addressing this question requires a densely sampled marine vertebrate fossil record in concert with a robust geochronologic framework. Many historically important basins with stacked Otodus-bearing Neogene marine vertebrate fossil assemblages lack well-sampled and well-dated lower and upper Pliocene strata (e.g., Atlantic Coastal Plain). The fossil record of California, USA, and Baja California, Mexico, provides such an ideal sequence of assemblages preserved within well-dated lithostratigraphic sequences. This study reviews all records of Otodus megalodon from post-Messinian marine strata from western North America and evaluates their reliability. All post-Zanclean Otodus megalodon occurrences from the eastern North Pacific exhibit clear evidence of reworking or lack reliable provenance; the youngest reliable records of Otodus megalodon are early Pliocene, suggesting an extinction at the early-late Pliocene boundary (∼3.6 Ma), corresponding with youngest occurrences of Otodus megalodon in Japan, the North Atlantic, and Mediterranean. This study also reevaluates a published dataset, thoroughly vetting each occurrence and justifying the geochronologic age of each, as well as excluding several dubious records. Reanalysis of the dataset using optimal linear estimation resulted in a median extinction date of 3.51 Ma, somewhat older than a previously proposed Pliocene-Pleistocene extinction date (2.6 Ma). Post-middle Miocene oceanographic changes and cooling sea surface temperature may have resulted in range fragmentation, while alongside competition with the newly evolved great white shark (Carcharodon carcharias) during the Pliocene may have led to the demise of the megatoothed shark. Alternatively, these findings may also suggest a globally asynchronous extinction of Otodus megalodon.
Task-DAG Support in Single-Source PHAST Library: Enabling Flexible Assignment of Tasks to CPUs and GPUs in Heterogeneous Architectures

Nowadays, the majority of desktop, mobile, and embedded devices in the consumer and industrial markets are heterogeneous, as they contain at least multi-core CPU and GPU resources in the same system. However, exploiting the performance and energy-efficiency of these diverse processing elements does not come for free from a software point of view: programmers need to a) code each activity through the specific approaches, libraries, and frameworks suitable for their target architecture (e.g., CPUs and GPUs) along with the orchestration of such heterogeneous execution, and b) decide the distribution of sequential and parallel activities towards the different parallel hardware resources available. Current frameworks typically provide either low-abstraction-level target-specific and/or generic but not high-performance interfaces, which complicate the exploration of different task assignments, with DAG1 precedence relationship, to the available heterogeneous resources. To enable this, tasks would typically need to be coded one time for each target architecture due to the profound differences in their programming. In this work, we include the support of tasks and DAGs of data-parallel tasks within the single-source PHAST library, which currently supports both multi-core CPUs and NVIDIA GPUs, so that tasks are coded in a target-agnostic fashion and their targeting to multi-core or GPU architectures is automatic and efficient. The integration of this coding approach with tasks can help to postpone the choice of the execution platform for each task up to the testing, or even to the runtime, phase. Finally, we demonstrate the effects of this approach in the case of a sample image pipeline benchmark from the computer vision domain. We compare our implementation to a SYCL implementation from a productivity point of view. Also, we show that various task assignments can be seamlessly explored by implementing both the PEFT2 mapping technique along with an exhaustive search in the mapping space.
Somatostatin 2 Receptors in the Spinal Cord Tonically Restrain Thermogenic, Cardiac and Other Sympathetic Outflows

The anatomical and functional characterization of somatostatin (SST) and somatostatin receptors (SSTRs) within the spinal cord have been focused in the dorsal horn, specifically in relation to sensory afferent processing. However, SST is also present within the intermediolateral cell column (IML), which contains sympathetic preganglionic neurons (SPN). We investigated the distribution of SSTR2 within the thoracic spinal cord and show that SSTR2A and SSTR2B are expressed in the dorsal horn and on SPN and non-SPN in or near the IML. The effects of activating spinal SSTR and SSTR2 were sympathoinhibition, hypotension, bradycardia, as well as decreases in interscapular brown adipose tissue temperature and expired CO2, in keeping with the well-described inhibitory effects of activating SSTR receptors. These data indicate that spinal SST can decrease sympathetic, cardiovascular and thermogenic activities. Unexpectedly blockade of SSTR2 revealed that SST tonically mantains sympathetic, cardiovascular and thermogenic functions, as activity in all measured parameters increased. In addition, high doses of two antagonists evoked biphasic responses in sympathetic and cardiovascular outflows where the initial excitatory effects were followed by profound but transient falls in sympathetic nerve activity, heart rate and blood pressure. These latter effects, together with our findings that SSTR2A are expressed on GABAergic, presumed interneurons, are consistent with the idea that SST2R tonically influence a diffuse spinal GABAergic network that regulates the sympathetic cardiovascular outflow. As described here and elsewhere the source of tonically released spinal SST may be of intra- and/or supra-spinal origin.
A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization

Edge caching is being explored as a promising technology to alleviate the network burden of cellular networks by separating the computing functionalities away from cellular base stations. However, the service capability of existing caching scheme is limited by fixed edge infrastructure when facing the uncertainties of users’ requests and locations. The vehicular caching, which uses the moving vehicles as cache carriers, is regarded as an efficient method to solve the above problem. This paper studies the effectiveness of vehicular caching scheme in content centric networks by developing optimization model toward the minimization of network energy consumption. Particularly, we model the interactions between caching vehicles and mobile users as a two-dimensional Markov process, in order to characterize the network availability of mobile users. Based on the developed model, we propose an online vehicular caching design by optimizing network energy efficiency. Specifically, the problem of caching decision making is first formulated as a fractional optimization model, toward the optimal energy efficiency. Using nonlinear fractional programing technology and Lyapunov optimization theory, we derive the theoretical solution for the optimization model. An online caching algorithm to enable the optimal vehicular caching is developed based on the solution. Finally, extensive simulations are conducted to examine the performance of our proposal. On comparison, our online caching scheme outperforms the existing scheme in terms of energy efficiency, hit ratio, cache utilization, and system gain.
Advantages and Disadvantages of Methadone among Children and Adults: A Systematic Review and Meta-Analysis

Background: Today, an increasing trend to methadone as an alternative maintenance treatment for opiate dependence in adults is observed; children for both intentional and accidental reasons are exposed to serious and fetal effects of methadone. We aimed to investigate effects of methadone on children and sexual functioning among adults in Iranian population. Materials and Methods: An extensive search was done in databases of Medline, EMBASE, Scopus, Cochrane, and Web of Science until August 2018. Two independent researchers screened articles, and categorized them based on the evaluated outcomes and overall effect size was presented. After excluding the duplicated, irrelevant and low-quality articles, eligible ones were enrolled in the meta-analysis. Finally, pooled effect size was presented as standardized mean difference (SMD) or pooled prevalence with 95% confidence interval (95% CI). Results: Methadone was found to be more effective than morphine on neonatal abstinence syndrome. The first four most common symptoms of methadone poisoning were loss of consciousness (81%), sleepiness (72%), meiotic pupils (76%), vomiting (56%), and Apnea (48%). The overall prevalence rate of sexual disorders and erectile dysfunction was 66.3% and 77.5%, respectively. The subjects in methadone group were over 2.5-fold more likely to use condom during intercourse (p<0.001). The methadone therapy could lead to a significant reduction in orgasm functioning (p<0.001), and a significant improvement in libido (p=0.001). The methadone maintenance treatment (MMT) significantly resulted in decreased orgasm function and improved libido in males. Conclusion: Evidence suggests a positive impact of methadone maintenance treatment on risky sexual behaviors. Regarding the methadone poisoning effect on children, people should be informed by health care providers about serious and fetal effects on children.
Detecting Heavy Hitters in the Data-plane

The ability to detect, in real-time, heavy hitters is beneficial to many network applications, such as DoS and anomaly detection. Through programmable languages as P4, heavy hitter detection can be implemented directly in the data-plane, allowing custom actions to be applied to packets as they are processed at a network node. This enables networks to immediately respond to changes in network traffic in the data-plane itself and allows for different QoS profiles for heavy hitter and non-heavy hitter traffic. Current interval-based methods that flush the whole counting structure are not well-suited for programmable hardware (the data-plane), because they either require more resources than available in that hardware, they do not provide good accuracy, or require too many actions from the control-plane. A sliding window approach that maintains accuracy over time would solve these issues. However, to the best of our knowledge, the concept of sliding windows in programmable hardware has not been studied yet. In this paper, we develop streaming approaches to detect heavy hitters in the data-plane. We consider the problems of (1) adopting a sliding window and (2) identifying heavy hitters separately and propose multiple memory- and processing-efficient solutions for each of them. These solutions are suitable for P4 programmable hardware and can be combined at will to solve the streaming variant of the heavy hitter detection problem.
On Voting Strategies and Emergent Communication

Humans use language to collectively execute complex strategies in addition to using it as a referential tool for referring to physical entities. While existing approaches that study the emergence of language in settings where the language mainly acts as a referential tool, in this paper, we study the role of emergent languages in discovering and implementing strategies in a multi-agent setting. The agents in our setup are connected via a network and are allowed to exchange messages in the form of sequences of discrete symbols. We formulate the problem as a voting game, where two candidate agents are contesting in an election and their goal is to convince the population members (other agents) in the network to vote for them by sending them messages. We use neural networks to parameterize the policies followed by agents in the game. We investigate the effect of choosing different training objectives and strategies for agents in the game and make observations about the emergent language in each case. To the best of our knowledge this is the first work that explores emergence of language for discovering and implementing strategies in a setting where agents are connected via an underlying network.
Mental Disorders in Ethnic Community: A Prevalence Study from Thakali Community of Nepal

Introduction: Mental disorders are common and major source of disability around the world. Though Nepal lacks national data on the prevalence of mental disorders, many studies have been conducted in specific groups of people. The Thakali community is one of the indigenous communities of Nepal. We aim to look at the prevalence of mental disorders in this group. Materials and Methods: This is a cross-sectional study with multiphasic sampling conducted in the Thakali community in six distinct geographical regions of Nepal. The first stage was a household survey done by field researchers using screening questionnaires to detect a probable diagnosis of mental disorders. The second stage was detailed clinical assessment and diagnosis (ICD-10) by two independent psychiatrists. Results: Among the 917 participants, after the first phase, a probable diagnosis (as per the screening questionnaire) was found to be 12.5%. After the psychiatrists' assessment and addition of already diagnosed cases, the prevalence was 6.1%. In both the cases, prevalence of alcohol use disorder was comparatively higher (34.8% and 31.9%, respectively). Conclusion: Despite many shortcomings, this study has provided an estimate of the prevalence and pattern of mental disorders among an indigenous Nepalese community. We emphasize the need of validation of tools for Nepal and estimation of prevalence at the national level.
Arabinogalactan Proteins Are the Possible Extracellular Molecules for Binding Exogenous Cerium(III) in the Acidic Environment Outside Plant Cells

Rare earth elements [REE(III)] increasingly accumulate in the atmosphere and can be absorbed by plant leaves. Our previous study showed that after treatment of REE(III) on plant, REE(III) is first bound by some extracellular molecules of plant cells, and then the endocytosis of leaf cells will be initiated, which terminates the endocytic inertia of leaf cells. Identifying the extracellular molecules for binding REE(III) is the crucial first step to elucidate the mechanism of REE(III) initiating the endocytosis in leaf cells. Unfortunately, the molecules are unknown. Here, cerium(III) [Ce(III)] and Arabidopsis served as a representative of REE(III) and plants, respectively. By using interdisciplinary methods such as confocal laser scanning microscopy, immune-Au and fluorescent labeling, transmission electron microscope (TEM), X-ray photoelectron spectroscopy (XPS), ultraviolet-visible spectroscopy, circular dichroism spectroscopy, fluorescent spectrometry and molecular dynamics simulation, we obtained two important discoveries: first, the arabinogalactan proteins (AGP) inside leaf cells were sensitively increased in protein expression and recruited onto the plasma membrane; second, to verify whether AGP can bind to Ce(III) in the acidic environment outside leaf cells, by choosing fasciclin-like AGP11 (AtFLA11) as a representative of AGP, we found that Ce(III) can form stable [Ce(H2O)7](III)-AtFLA11 complexes with an apparent binding constant of 1.44 × 10−6 in simulated acidic environment outside leaf cells, in which the secondary and tertiary structure of AtFLA11 was changed. The structural change in AtFLA11 and the interaction between AtFLA11 and Ce(III) were enhanced with increasing the concentration of Ce(III). Therefore, AtFLA11 can serve as Lewis bases to coordinately bind to Ce(III), which broke traditional chemical principle. The results confirmed that AGP can be the possible extracellular molecules for binding to exogenous Ce(III) outside leaf cells, and provided references for elucidating the mechanism of REE(III) initiating the endocytosis in leaf cells.
Transmutation of light water reactor-discharge-transuranics in high temperature gas cooled reactor.

An assessment of the General Atomics proposed Accelerator Transmutation of Waste concept using the high temperature gas reactor technology has been performed. In this concept, transuranic materials that are extracted from light water reactor spent fuel are fabricated into oxide fuel and burned in a critical and sub-critical accelerator driven gas-cooled transmuter. The transmuter operates in the critical mode for three cycles and then operates in a subcritical accelerator-driven mode for a single cycle. Both thermal and fast spectrum transmutation zones are utilized. The thermal zone is fueled with the transuranic oxide materials in the form of coated particles, which are mixed with graphite powder, packed into cylindrical compacts, and loaded in hexagonal graphite blocks with cylindrical channels. The fast zone is fueled with transuranic oxide materials in the form of coated particles from the graphite blocks that have been irradiated in the thermal zone for three critical cycles and an additional acceleratordriven cycle without the graphite powder. This mode of operation is intended to achieve high plutonium consumption in the thermal zone, and to consume the minor actinides in the fast zone. The Monte Carlo code MONK has been used to accurately model the geometrical details of the design to precisely account for the physics, and to assess the thermal transmuter performance, which are the subject of this paper. The paper describes the transmuter and the major design parameters that can be altered to optimize the system design. Also, the Monte Carlo models developed and used for the neutronics analysis are discussed. The results of the parametric studies for the fuel block and the whole transmuter to understand the physics and the design analyses are given. Special attention was given for the burn-up analyses to assess the transmutation potential of this concept.