Miracle-dz/UniFAR-FTUs huggingface dataset:
Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques

RowHammer is a circuit-level DRAM vulnerability, first rigorously analyzed and introduced in 2014, where repeatedly accessing data in a DRAM row can cause bit flips in nearby rows. The RowHammer vulnerability has since garnered significant interest in both computer architecture and computer security research communities because it stems from physical circuit-level interference effects that worsen with continued DRAM density scaling. As DRAM manufacturers primarily depend on density scaling to increase DRAM capacity, future DRAM chips will likely be more vulnerable to RowHammer than those of the past. Many RowHammer mitigation mechanisms have been proposed by both industry and academia, but it is unclear whether these mechanisms will remain viable solutions for future devices, as their overheads increase with DRAM’s vulnerability to RowHammer.In order to shed more light on how RowHammer affects modern and future devices at the circuit-level, we first present an experimental characterization of RowHammer on 1580 DRAM chips (408$\times$DDR3, 652$\times$DDR4, and 520$\times$LPDDR4) from 300 DRAM modules (60$\times$DDR3, 110$\times$DDR4, and 130$\times$LPDDR4) with RowHammer protection mechanisms disabled, spanning multiple different technology nodes from across each of the three major DRAM manufacturers. Our studies definitively show that newer DRAM chips are more vulnerable to RowHammer: as device feature size reduces, the number of activations needed to induce a RowHammer bit flip also reduces, to as few as 9.6 k (4.8k to two rows each) in the most vulnerable chip we tested.We evaluate five state-of-the-art RowHammer mitigation mechanisms using cycle-accurate simulation in the context of real data taken from our chips to study how the mitigation mechanisms scale with chip vulnerability. We find that existing mechanisms either are not scalable or suffer from prohibitively large performance overheads in projected future devices given our observed trends of RowHammer vulnerability. Thus, it is critical to research more effective solutions to RowHammer.
The action of air ions on bacteria

Techniques have been devised for studying quantitatively the effects of air ions on microorganisms suspended in small drops. In smog-contaminated atmospheres moderate concentrations of positive and negative air ions exerted a protective effect on staphylococci by delaying the drop in pH customarily observed and by diminishing the rate of evaporation. In clean air higher concentrations of positive and negative air ions accelerated the rate of death of staphylococci apparently by direct action on the cells and by increasing the rate of evaporation. Air ion action in these experiments did not involve cell agglutination or direct radiation from the radioactive isotopes employed.
Spatially Coupled Codes with Sub-Block Locality: Joint Finite Length-Asymptotic Design Approach

SC-LDPC codes with sub-block locality can be decoded locally at the level of sub-blocks that are much smaller than the full code block, thus providing fast access to the coded information. The same code can also be decoded globally using the entire code block, for increased data reliability. In this paper, we pursue the analysis and design of such codes from both finite-length and asymptotic lenses. This mixed approach has rarely been applied in designing SC codes, but it is beneficial for optimizing code graphs for local and global performance simultaneously. Our proposed framework consists of two steps: 1) designing the local code for both threshold and cycle counts, and 2) designing the coupling of local codes for the best cycle count in the global design.
Optimal Experimental Design for Bayesian Inverse Problems Governed by PDEs: A Review

We present a review of methods for optimal experimental design (OED) for Bayesian inverse problems governed by partial differential equations. The focus is on large-scale inverse problems with infinite-dimensional parameters. We present the mathematical foundations of OED in this context and survey the computational methods for the class of OED problems under study. We also outline some directions for future research in this area.
Limit Profiles for Markov Chains

In a recent breakthrough, Teyssier [Tey20] introduced a new method for approximating the distance from equilibrium of a random walk on a group. He used it to study the limit profile for the random transpositions card shuffle. His techniques were restricted to conjugacy-invariant random walks on groups; we derive similar approximation lemmas for random walks on homogeneous spaces and for general reversible Markov chains. We illustrate applications of these lemmas to some famous problems: the $k$-cycle shuffle, improving results of Hough [Hou16] and Berestycki, Schramm and Zeitouni [BSZ11]; the Ehrenfest urn diffusion with many urns, improving results of Ceccherini-Silberstein, Scarabotti and Tolli [CST07]; a Gibbs sampler, which is a fundamental tool in statistical physics, with Binomial prior and hypergeometric posterior, improving results of Diaconis, Khare and Saloff-Coste [DKS08].
Transition-based Semantic Dependency Parsing with Pointer Networks

Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in this task. In order to further test the capabilities of these powerful neural networks on a harder NLP problem, we propose a transition system that, thanks to Pointer Networks, can straightforwardly produce labelled directed acyclic graphs and perform semantic dependency parsing. In addition, we enhance our approach with deep contextualized word embeddings extracted from BERT. The resulting system not only outperforms all existing transition-based models, but also matches the best fully-supervised accuracy to date on the SemEval 2015 Task 18 datasets among previous state-of-the-art graph-based parsers.
DESIGN AND DEVELOPMENT OF THE TIP TURBINE LIFT FAN

The General Electric Company has been actively engaged in developing a tip turbine driven lift fan propulsion system for vertical take-off and landing under an Army TRECOM contract. The tip turbine lift fan system (FIGURE 1) is a convertible propulsion system which incorporates turbojet engines, tip turbine driven low pressure ratio fans, diverter valves, connecting ducting and an exit louver system. The lift fan is basically a very high by-pass ratio fan. Interconnecting ducting allows the location of the fan at any position relative to the gas generator and, with a diverter valve, the system provides a convertible characteristic of both cruise and VTOL modes of operation power via the same gas generator. Considerable testing has been performed for both fan-in-fuselage ( FIF ) and fan-inwing (FIW) configurations. These tests have been performed both statically and in NASA Ames 40 x 80 foot wind tunnel. The General Electric Company is now under contract to demonstrate the fan-in-wing configuration in the XV-5A flight research airplane built by Ryan Aeronautical Company. The remainder of this paper will be devoted to the description and historical development of the tip turbine lift fan. Emphasis will be placed on the powerplant development rather than aircraft characteristics with the lift fan.
Neural Edit Completion

We address the problem of predicting edit completions based on a learned model that was trained on past edits. Given a code snippet that is partially edited, our goal is to predict a completion of the edit for the rest of the snippet. We refer to this task as the EditCompletion task and present a novel approach for tackling it. The main idea is to directly represent structural edits. This allows us to model the likelihood of the edit itself, rather than learning the likelihood of the edited code. We represent an edit operation as a path in the program's Abstract Syntax Tree (AST), originating from the source of the edit to the target of the edit. Using this representation, we present a powerful and lightweight neural model for the EditCompletion task. We conduct a thorough evaluation, comparing our approach to a variety of representation and modeling approaches that are driven by multiple strong models such as LSTMs, Transformers, and neural CRFs. Our experiments show that our model achieves 28% relative gain over state-of-the-art sequential models and 2$\times$ higher accuracy than syntactic models that learn to generate the edited code instead of modeling the edits directly. We make our code, dataset, and trained models publicly available.
Observation of Two Thresholds Leading to Polariton Condensation in 2D Hybrid Perovskites

2D perovskites are promising materials for photonic applications, given their outstanding nonlinear optical properties, ease of fabrication, and versatility. In particular, exploiting their high oscillator strength, the crystalline form of 2D perovskites can be used as excitonic medium in optical microcavities, allowing for the study of their optical properties in the strong light–matter coupling regime. While polariton condensation is observed in different materials at room temperature, for the first time two distinct threshold processes in a 2D perovskite are observed, a material that has never shown spontaneous phase transition up to now. In particular, lasing from the bi‐exciton state is also demonstrated, which contributes to populate the lower polariton branch and, at higher excitation powers, eventually leads to the formation of a polariton condensate. The emission linewidth narrowing and a spatial coherence over 50 × 50 μm2 area is the smoking gun of a quantum coherent state formation in the 2D hybrid perovskite. The results not only show the formation of a polariton condensate in 2D perovskites but they are also crucial for the understanding of the physical mechanisms that lead to coherent phase transition in perovskite‐based polariton microcavities.
Effects of hematoporphyrin monomethyl ether (HMME) on Worker Behavior of red imported fire ant, Solenopsis invcita

The effect of hematoporphyrin monomethyl ether (HMME) activated under visible light on worker behavior of Solenopsis invcita was studied with the potter spray tower method. The results showed that greater than 10 mg/L HMME activated under visible light could reduce the walking, grasping, aggregation, and water and food recognition abilities of red imported fire worker ant significantly, but 100 mg/L HMME in darkness could not affect their abilities or behaviors significantly. Therefore, HMME may be a potential novel insecticide that can be used as a substitute for toxic insecticides for controlling red imported fire ants.
Precision aggregated local models

Large‐scale Gaussian process (GP) regression is infeasible for large training data due to cubic scaling of flops and quadratic storage involved in working with covariance matrices. Remedies in recent literature focus on divide‐and‐conquer, for example, partitioning into subproblems and inducing functional (and thus computational) independence. Such approximations can be speedy, accurate, and sometimes even more flexible than ordinary GPs. However, a big downside is loss of continuity at partition boundaries. Modern methods like local approximate GPs (LAGPs) imply effectively infinite partitioning and are thus both good and bad in this regard. Model averaging, an alternative to divide‐and‐conquer, can maintain absolute continuity but often over‐smooths, diminishing accuracy. Here we propose putting LAGP‐like methods into a local experts‐like framework, blending partition‐based speed with model‐averaging continuity, as a flagship example of what we call precision aggregated local models (PALM). Using K LAGPs, each selecting n from N total data pairs, our scheme is at most cubic in n , quadratic in K , and linear in N . Extensive empirical illustration shows how PALM is at least as accurate as LAGP, can be much faster, and furnishes continuous predictions. Finally, we propose sequential updating scheme that greedily refines a PALM predictor up to a computational budget.
Light dark matter in a minimal extension with two additional real singlets

The direct searches for heavy scalar Dark Matter with a mass of order 100 GeV are much more sensitive than for light Dark Matter of order 1 GeV. The question arises whether Dark Matter could be light and has escaped detection so far. We study a simple extension of the Standard Model with two additional real singlets. We show that this simple extension may provide the observed relic Dark Matter density, does not disturb Big-Bang nucleosynthesis nor the Cosmic Microwave Radiation observations and fulfills the conditions of clumping behavior for different sizes of Galaxies. The potential of one Standard Model-like Higgs-boson doublet and the two singlets gives rise to a changed Higgs phenomenology, in particular, an enhanced invisible Higgs-boson decay rate is expected, detectable by missing transversal momentum searches at the ATLAS and CMS experiments at CERN.
Target-Tailored Source-Transformation for Scene Graph Generation

Scene graph generation aims to provide a semantic and structural description of an image, denoting the objects (with nodes) and their relationships (with edges). The best performing works to date are based on exploiting the context surrounding objects or relations, e.g., by passing information among objects. In these approaches, to transform the representation of source objects is a critical process for extracting information for the use by target objects. In this paper, we argue that a source object should give what target object needs and give different objects different information rather than contributing common information to all targets. To achieve this goal, we propose a Target-Tailored Source-Transformation (TTST) method to propagate information among object proposals and relations. Particularly, for a source object proposal which will contribute information to other target objects, we transform the source object feature to the target object feature domain by simultaneously taking both the source and target into account. We further explore more powerful representation by integrating language prior with visual context in the transformation for scene graph generation. By doing so the target object is able to extract target-specific information from source object and source relation accordingly to refine its representation. Our framework is validated on the Visual Genome benchmark and demonstrated its state-of-the-art performance for the scene graph generation. The experimental results show that the performance of object detection and visual relationship detection are promoted mutually by our method. The code will be released upon acceptance.
Github Data Exposure and Accessing Blocked Data using the GraphQL Security Design Flaw

This research study was conducted to illustrate how it is easily possible to get data access to disabled or blocked repositories in Github using GraphQL. There are situations in which you can lose access to your Github repositories; When you use the paid version of Github services and do not pay the monthly payment or another situation is that when you use Github from the countries in the United States sanction list. Having an insecure repository with malicious usages can also put your repository in Github blacklist. In all of these situations, Github will block and disable your repository and you will lose access to your files, codes and project assets. Here, we will discuss the procedure of how an Ethical Hacker can gain access to all those blocked data with GraphQL functionality.
Origins and diversification of subsociality in leaf beetles (Coleoptera: Chrysomelidae: Cassidinae: Chrysomelinae)

Leaf beetles (Chrysomelidae; ~40,000 species) are commonly solitary animals but subsociality, maternal care of broods, is known in Cassidinae and Chrysomelinae. We report 11 novel records from Brazil and Peru, bringing the number of subsocial chrysomelids to 35 species in 10 genera. Two evolutionary models of chrysomelid subsociality have been proposed. One proposed three independent origins within Chrysomelinae, based on the potential phylogenetic positions of subsocial genera. The other hypothesised that an evolutionary arms race between chrysomelid prey and their predators, parasites, and parasitoids has led to an escalation of defences. Using our phylogenies, we propose that subsociality originated independently in Cassidinae and Chrysomelinae, and several times within each subfamily. Subsociality was preceded by particular behaviours. In Cassidinae, exophagous larvae with chemically offensive faecal weaponry preceded aggregated living, group defences (e.g. cycloalexy), and maternal guarding. In Chrysomelinae, offensive glandular compounds preceded ovi- and viviparity before subsociality.
Genotypic differences in chemical composition and ruminal degradability of oat hulls.

A study was conducted to determine differences in chemical composition and ruminal degradability of oat hulls derived from ten oat varieties. Hulls derived from AC Assiniboia had a lower (P < 0.05) acid detergent lignin (ADL) and a higher (P < 0.05) in vitro dry matter disappearance (IVDMD) relative to the other nine varieties. Effective ruminal degradability of neutral (NDF) and acid (ADF) detergent fiber for AC Assiniboia hulls were higher (P < 0.05) than those of Calibre hulls and similar to those of Calibre straw. Key words: Oat hulls, chemical composition, ruminal degradability
High HIV Incidence Among Men Who Have Sex With Men in 8 Chinese Cities: Results From a Trial

Abstract Background In China, while the overall HIV prevalence has been decreasing within key populations, the epidemic among men who have sex with men (MSM) is still on the rise. This study aims to assess the HIV incidence rate and identify driving forces of HIV seroconversion among MSM in a closed cohort. Methods This study is a secondary analysis of a large trial of HIV testing promotion among Chinese MSM in 2016–2017. Sexual behaviors, HIV testing activities, and HIV serostatus were measured at baseline and follow-up every 3 months. HIV seroconversion in this study was defined as a self-reported HIV-positive test result. Participants who reported testing for HIV at least twice during different follow-up periods were included. Subgroup analysis and Cox regression were used to examine the correlates with HIV seroconversion. Results Overall, 347 participants were included in this study, with a mean age of 25.3 ± 6.1, and 71.2% were migrants. The sociodemographic characteristics of the included participants were similar to the rest of the participants in the trial (n = 1034); 7.2% (25/347) of participants seroconverted during the study period, resulting in an incidence rate of 15.56/100 person-years. In subgroup analysis, the HIV incidence rate was higher among migrants than nonmigrants (incidence rate ratio, 1.26; 95% confidence interval [CI], 0.47–3.87). In the time-dependent Cox regression model, bisexual MSM had a higher risk of contracting HIV than gay men (adjusted hazard ratio, 2.19; 95% CI, 1.02–4.72). Conclusions Our findings suggest a high HIV incidence rate among Chinese MSM. Further expansion of pre-exposure prophylaxis and other effective HIV prevention interventions are urgently needed.
Urethral meatus stricture BOO stimulates bladder smooth muscle cell proliferation and pyroptosis via IL-1β and the SGK1-NFAT2 signaling pathway

Bladder outlet obstruction (BOO), which is primarily caused by benign prostatic hyperplasia, is a common chronic disease. However, previous studies have most commonly investigated BOO using the acute obstruction model. In the present study, a chronic obstruction model was established to investigate the different pathological alterations in the bladder between acute and chronic obstruction. Compared with chronic obstruction, acute obstruction led to increased expression of proliferating cell nuclear antigen and interleukin-1β, which are markers of proliferation and inflammation, respectively. Furthermore, increased fibrosis in the bladder at week 2 was observed. Low pressure promoted mice bladder smooth muscle cell (MBSMC) proliferation, and pressure overload inhibited cell proliferation and increased the proportion of dead MBSMCs. Further investigation using serum/glucocorticoid regulated kinase 1 (SGK1) small interfering RNAs indicated that low pressure may promote MBSMC proliferation by upregulating SGK1 and nuclear factor of activated T-cell expression levels. Therefore, the present study suggested that acute obstruction led to faster decompensation of bladder function and chronic bladder obstruction displayed an enhanced ability to progress to BOO.
Bulk density of soil samples measured in the field and through volume measurement of sieved soil

In soil testing laboratories, soil samples for chemical analysis are usually measured by volume, using appropriate measuring spoons. It is tacitly assumed that such measurements would reflect amounts of soil existing in the same volume under field conditions. This hypothesis was tested, using 12 soil samples of the A and B horizons of six soil profiles. Bulk density in the field was evaluated through a cylindrical metal sampler of 50cm3 and in the laboratory using spoons of different sizes. Measurements of soil volumes by spoons were quite precise. Values of bulk density varied between 0.63 and 1.46g/cm3 for field measurements and between 0.91 and 1.33g/cm3 for laboratory measurements with spoons. Thus, laboratory measurements overestimated lower values of bulk densities and underestimated the higher ones.
No effect of parental quality or extrapair paternity on brood sex ratio in the blue tit (Parus caeruleus)

Sex allocation theory predicts that parents should manipulate brood sex ratio in order to maximise the combined reproductive value of their progeny. Females mating with high quality males should, therefore, be expected to produce brood sex ratios biased towards sons, as male offspring would receive a relatively greater advantage from inheritance of their father's characteristics than would their female siblings. Furthermore, it has been suggested that sex allocation in chicks fathered through extrapair fertilizations should also be biased towards sons. Contrary to these predictions, we found no evidence that the distribution of sex ratios in a sample of 1483 chicks from 154 broods of blue tits (Parus caeruleus) deviated significantly from that of a binomial distribution around an even sex ratio. In addition, we found no significant effect on brood sex ratio of the individual quality of either parent as indicated by their biometrics, feather mite loads, time of breeding, or parental survival. This suggests that females in our population were either unable to manipulate offspring sex allocation or did not do so because selection pressures were not strong enough to produce a significant shift away from random sex allocation. The paternity of 986 chicks from 103 broods was determined using DNA microsatellite typing. Extrapair males sired 115 chicks (11.7%) from 41 broods (39.8%). There was no significant effect of paternity (within-pair versus extrapair) on the sex of individual offspring. We suggest that, in addition to the weakness of selection pressures, the possible mechanisms responsible for the allocation of sex may not be sufficiently accurate to control offspring sex at the level of the individual egg.