Miracle-dz/UniFAR-FTUs huggingface dataset:
Protect non-volatile memory from wear-out attack based on timing difference of row buffer hit/miss

Non-volatile Memories (NVMs), such as PCM and ReRAM, have been widely proposed for future main memory design because of their low standby power, high storage density, fast access speed. However, these NVMs suffer from the write endurance problem. In order to prevent a malicious program from wearing out NVMs deliberately, researchers have proposed various wear-leveling methods, which remap logical addresses to physical addresses randomly and dynamically. However, we discover that side channel leakage based on NVM row buffer hit information can reveal details of address remappings. Consequently, it can be leveraged to side-step the wear-leveling. Our simulation shows that the proposed attack method in this paper can wear out a NVM within 137 seconds, even with the protection of state-of-the-art wear-leveling schemes. To counteract this attack, we further introduce an effective countermeasure named Intra-Row Swap (IRS) to hide the wear-leveling details. The basic idea is to enable an additional intra-row block swap when a new logical address is remapped to the memory row. Experiments demonstrate that IRS can secure NVMs with negligible timing/energy overhead, compared with previous works.
Occurrence of Astringent Oligomeric Proanthocyanidins in Legume Seeds

The distribution of oligomeric proanthocyanidins in legume seeds was investigated in connection with organoleptic astringency. The seeds contained various kinds of oligomers (dimers˜hexamers). The total oligomer contents were at least 0.040% in azuki beans, 0.017% in black soybeans, 0.005% in mung beans and a trace amount in regular soybeans. Each aliquot of aqueous solution of partially purified proanthocyanidin oligomers tasted astringent even at a concentration of 0.001% (w/v). The possible contribution of oligomeric proanthocyanidins and polymeric proanthocyanidins to the astringent off-taste of legume seeds is discussed.
Transmission of infectious salmon anaemia (ISA) through natural secretions and excretions from infected smolts of Atlantic salmon Salmo salar during their presymptomatic phase

Short-term (48 h) exposure of healthy Atlantic salmon Salmo salar L. smolts to infectious salmon anemia (1SA)-inoculated cohort smolts showed that the disease was transmitted with near 100% mortality from Day 7 post-inoculation and onwards. This is more than a week before the inoculated fish show any clinical signs and long before the typical petechial bleedings occur. A bloodborne transmission of the disease is therefore unlikely. Skin mucus, faeces, urine and blood, isolated from ISA-inoculated smolt, transmitted the disease to healthy cohort smolt with variable efficiency depending on how the inoculum was administered. All the sources were infectious and transmitted the disease with high efficiency when injected intraperitoneally ( I p.) Into cohort smolt. After i . p. injection, skin mucus had somewhat lower infectivity than blood homogenates. Furthermore, in some experiments application of skin mucus to the gills was as efficient as i.p. inlection for transmission of the &sease When introduced into the stomach none of the inocula caused ISA. Coprophagy thus seems to be ineffective in the transrn~ssion of ISA under laboratory cond~t~ons . Skin mucus from non-inoculated cohabitants exposed to ISA-inoculated smolts for 2 d transmitted the disease with close to 100% efficiency to healthy cohort smolts when injected i.p. This indicates that the infectious agent is waterborne and absorbed by the skin mucus rather than being secreted with the skin mucus. Since healthy smolts have an intact skin barrier, proximity to inoculation directly to the vascular bed seems unlikely. An ultrastructural study of 10 different organs, all in close proximity to the secretions/excretions, revealed that at early stages of the disease, the virus was exclusively found in the pillar cells and endocardial cells. This indicates that the g~lls are the most likely port of entry of the virus. It also supports a causal relation between the observed v ~ r u s and the disease.
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot

For autonomous robots to collaborate on joint tasks with humans they require a shared understanding of an observed scene. We present a method for unsupervised learning of common human movements and activities on an autonomous mobile robot, which generalises and improves on recent results. Our framework encodes multiple qualitative abstractions of RGBD video from human observations and does not require external temporal segmentation. Analogously to information retrieval in text corpora, each human detection is modelled as a random mixture of latent topics. A generative probabilistic technique is used to recover topic distributions over an auto-generated vocabulary of discrete, qualitative spatio-temporal code words. We show that the emergent categories align well with human activities as interpreted by a human. This is a particularly challenging task on a mobile robot due to the varying camera viewpoints which lead to incomplete, partial and occluded human detections.
Predicting Opponent's Production in Real-Time Strategy Games With Answer Set Programming

The adversarial character of real-time strategy (RTS) games is one of the main sources of uncertainty within this domain. Since players lack exact knowledge about their opponent's actions, they need a reasonable representation of alternative possibilities and their likelihood. In this article we propose a method of predicting the most probable combination of units produced by the opponent during a certain time period. We employ a logic programming paradigm called Answer Set Programming, since its semantics is well suited for reasoning with uncertainty and incomplete knowledge. In contrast with typical, purely probabilistic approaches, the presented method takes into account the background knowledge about the game and only considers the combinations that are consistent with the game mechanics and with the player's partial observations. Experiments, conducted during different phases of StarCraft: Brood War and Warcraft III: The Frozen Throne games, show that the prediction accuracy for time intervals of 1-3 min seems to be surprisingly high, making the method useful in practice. Root-mean-square error grows only slowly with increasing prediction intervals-almost in a linear fashion.
Mapping-based SPARQL access to a MongoDB database

Accessing legacy data as virtual RDF stores is a key issue in the building of the Web of Data. In recent years, the MongoDB database has become a leader in the NoSQL market and the management of very large datasets, making it a significant potential contributor to the Web of Linked Data. Therefore, in this paper we address the research question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) translate a SPARQL query into a pivot abstract query under MongoDB-to-RDF mappings represented in the xR2RML language, then (ii) translate the pivot query into a concrete MongoDB query. We elaborate on the discrepancy between the expressiveness of SPARQL and the MongoDB query language, and we show that we can always come up with a rewriting that shall produce all certain answers.
Wideband Voltage Controlled Oscillators for Cognitive Radio Systems

In the latest years much research effort was devoted to envision a new paradigm for wireless transmission. Results from recent works (Wireless Word Research Forum, 2005) indicate that a possible solution would lie in utilizing in a more efficient manner the diverse Radio Access Technologies1 (RATs) that are available nowadays, with the purpose of enabling interoperability among them and convergence into one global telecom infrastructure (beyond 3G).
A VLSI-DESIGN OF THE MINIMUM ENTROPY NEURON

One of the most interesting domains of feedforward networks is the processing of sensor signals. There do exist some networks which extract most of the information by implementing the maximum entropy principle for Gaussian sources. This is done by transforming input patterns to the base of eigenvectors of the input autocorrelation matrix with the biggest eigenvalues. The basic building block of these networks is the linear neuron, learning with the Oja learning rule. Nevertheless, some researchers in pattern recognition theory claim that for pattern recognition and classification clustering transformations are needed which reduce the intra-class entropy. This leads to stable, reliable features and is implemented for Gaussian sources by a linear transformation using the eigenvectors with the smallest eigenvalues. In another paper (Brause 1992) it is shown that the basic building block for such a transformation can be implemented by a linear neuron using an Anti-Hebb rule and restricted weights. This paper shows the analog VLSI design for such a building block, using standard modules of multiplication and addition. The most tedious problem in this VLSI-application is the design of an analog vector normalization circuitry. It can be shown that the standard approaches of weight summation will not give the convergence to the eigenvectors for a proper feature transformation. To avoid this problem, our design differs significantly from the standard approaches by computing the real Euclidean norm.
External knowledge search for innovation: the role of firms' innovation strategy and industry context

This paper aims to analyze the extent to which the influence of external knowledge search on innovation performance is contingent on both a firm’s innovation strategy and the industry context in which it operates. ,The paper adopts a contingent approach that centers analysis on the influence of situational factors, either exogenous or endogenous to the organization, as determinants of the external knowledge search in promoting the firm’s innovation performance. The empirical study is based on a large sample of 18,955 firms operating in 29 industries that belong to 13 European countries. ,This analysis reveals that a broad knowledge search is more effective for firms that innovate in new goods, while a deeper knowledge search is more effective for firms that innovate in new services. The results of this study also indicate that external knowledge search varies across industries, with search depth being used more in industries in which the knowledge development process is cumulative and appropriable, while the external breadth search is preferred in industries with a high level of technological opportunity. ,The current approach implies recognizing that the knowledge search strategies may not always be effective, and that firms should align the search strategy to both internal and external factors. Analyzing the influence of these factors can help managers to better choose the type of knowledge search (e.g. intensive or extensive search) that best aligns with the firm’s innovation objectives.
Human dynamics revealed through Web analytics

The increasing ubiquity of Internet access and the frequency with which people interact with it raise the possibility of using the Web to better observe, understand, and monitor several aspects of human social behavior. Web sites with large numbers of frequently returning users are ideal for this task. If these sites belong to companies or universities, their usage patterns can furnish information about the working habits of entire populations. In this work, we analyze the properly anonymized logs detailing the access history to Emory University's Web site. Emory is a medium-sized university located in Atlanta, Georgia. We find interesting structure in the activity patterns of the domain and study in a systematic way the main forces behind the dynamics of the traffic. In particular, we find that linear preferential linking, priority-based queuing, and the decay of interest for the contents of the pages are the essential ingredients to understand the way users navigate the Web.
Antitumor immunity by a dendritic cell vaccine encoding secondary lymphoid chemokine and tumor lysate on murine prostate cancer.

AIM To investigate the antitumor immunity by a dendritic cell (DC) vaccine encoding secondary lymphoid chemokine gene and tumor lysate on murine prostate cancer. METHODS DC from bone marrow of C57BL/6 were transfected with a plasmid vector expressing secondary lymphoid chemokine (SLC) cDNA by Lipofectamine 2,000 liposome and tumor lysate. Total RNA extracted from SLC+lysate-DC was used to verify the expression of SLC by reverse transcriptase-polymerase chain reaction (RT-PCR). The immunotherapeutic effect of DC vaccine on murine prostate cancer was assessed. RESULTS We found that in the prostate tumor model of C57BL/6 mice, the administration of SLC+lysate-DC inhibited tumor growth most significantly when compared with SLC-DC, lysate-DC, DC or phosphate buffer solution (PBS) counterparts (P < 0.01). Immunohistochemical fluorescent staining analysis showed the infiltration of more CD4(+), CD8(+) T cell and CD11c(+) DC within established tumor treated by SLC+lysate-DC vaccine than other DC vaccines (P < 0.01). CONCLUSION DC vaccine encoding secondary lymphoid chemokine and tumor lysate can elicit significant antitumor immunity by infiltration of CD4(+), CD8(+) T cell and DC, which might provide a potential immunotherapy method for prostate cancer.
Validation of a novel timed artificial insemination protocol in beef cows with a functional corpus luteum detected by ultrasonography

This study aimed to clarify the feasibility of a novel timed artificial insemination (TAI) protocol using ultrasonography, and to determine the associations between the ovarian component and fertility. In Experiment 1, 272 Japanese Black cows with a corpus luteum (CL) ≥ 18 mm in diameter were divided randomly into either the TRT group (134 cows that were administered gonadotropin-releasing hormone [GnRH] 56 h [day 2] after prostaglandin F2α [PGF] administration [day 0], followed by TAI 16–20 h later) or the CN-1 group (138 cows that were administered PGF followed by AI after estrus detection). In addition, the CN-2 group was designated for 306 cows given PGF and inseminated after estrus detection in the past two years at the same farms. In Experiment 2, 38 cows had the same treatment as the TRT group, and the sizes of follicles and CL were video-recorded on days 0 and 2. In Experiment 1, the AI and ovulation synchronization rates were higher in the TRT group than those in the CN-1 group (100 vs. 87.0% and 89.2 vs. 33.3%, respectively) (P < 0.01). The pregnancy rate in the TRT group (60.4%) was higher than that in the CN-2 group (45.1%) (P < 0.05). In Experiment 2, cows with a larger CL diameter and greater CL volume on day 0 had a higher pregnancy outcome (P < 0.05). In conclusion, this protocol was effective for improving pregnancy rates in beef herds, and fertility was associated with the CL size at the time of PGF administration.
Cross‐layer coordination in the I/O software stack of extreme‐scale systems

I/O forwarding layer has now become a standard storage layer in today's HPC systems in order to scale current storage systems to new levels of concurrency. With the deepening of storage hierarchy, I/O requests must traverse through several types of nodes to access required data, including compute nodes, I/O nodes, and storage nodes. It becomes difficult to control the data path and apply cross‐layer I/O optimization. In this paper, we propose a well coordinated I/O stack, which coordinates the data path between compute nodes and I/O nodes for better load balancing and data locality with a job‐level I/O node mapping, and coordinates data path between I/O nodes and storage nodes for lighter I/O interference. We implement and evaluate our ideas on Tianhe‐1A by leveraging an open‐source I/O forwarding layer named IOFSL. The experimental results show that our proposals can significantly accelerate I/O performance of multiple I/O kernels and real applications.
A survey of robot learning from demonstrations for Human-Robot Collaboration

Robot learning from demonstration (LfD) is a research paradigm that can play an important role in addressing the issue of scaling up robot learning. Since this type of approach enables non-robotics experts can teach robots new knowledge without any professional background of mechanical engineering or computer programming skills, robots can appear in the real world even if it does not have any prior knowledge for any tasks like a new born baby. There is a growing body of literature that employ LfD approach for training robots. In this paper, I present a survey of recent research in this area while focusing on studies for human-robot collaborative tasks. Since there are different aspects between stand-alone tasks and collaborative tasks, researchers should consider these differences to design collaborative robots for more effective and natural human-robot collaboration (HRC). In this regard, many researchers have shown an increased interest in to make better communication framework between robots and humans because communication is a key issue to apply LfD paradigm for human-robot collaboration. I thus review some recent works that focus on designing better communication channels/methods at the first, then deal with another interesting research method, Interactive/Active learning, after that I finally present other recent approaches tackle a more challenging problem, learning of complex tasks, in the last of the paper.
Parent-only Group Cognitive Behavioral Intervention for Children with Anxiety Disorders: A Control Group Study.

Objective Parents play an important role in development and continuation of anxiety disorders in children. Yet the evidence on parent contribution in cognitive behavioral therapy (CBT) for childhood anxiety is limited. This open randomized trial examined the effectiveness of a parent-directed group CBT to manage children with anxiety disorders. Method Parents of 42 children aged 6-12 with primary anxiety disorders were allocated to a six, two-hour weekly intervention and a wait-list (WL) control. The Revised Children's Manifest Anxiety, Children's Depression Inventory, Strengths and Difficulties Questionnaire-Home Version, Depression-Anxiety-Stress Scale, Children Global Assessment Scale, and Global Relational Assessment of Functioning were used to assess children's and parents' functioning and emotional symptoms. Parents completed consumer satisfaction questionnaire. Results Parents in the CBT group reported significant improvement in their depressive symptoms (p=0.006) and the family functioning (p=0.04), as well as reduction in children's emotional symptoms (p=0.007). Clinician rating of children's functioning showed significant improvement in the CBT group(p=0.001). There was no significant difference in children rating of their anxiety within groups from pre- to post-intervention. Parents were satisfied mostly with the intervention. Conclusion A brief parent-only CBT based intervention can be effective in the management of childhood anxiety.
Why blockchain is important for software developers, and why software engineering is important for blockchain software (Keynote)

In the past few years, cryptocurrencies and blockchain applications has been one of the most rapidly emerging fields of computer science, leading to a strong demand of software applications. Several new projects have been emerging almost daily, with an impetus that was not seen since the days of the dawn of the Internet. However, the need of being timely on the market and the lack of experience in a brand new field led to epic disasters, such as those of DAO in 2016 and of Parity Ethereum wallet in 2017. Also, there have been several hacks successfully performed on cryptocurrency exchanges, the biggest being those of MtGox in 2014 (350 million US$), Bitfinex in 2016 (72 million US$), and Coincheck in 2017 (400 million US$). The application of sound SE practices to Blockchain software development, both for Smart Contract and generic Blockchain software, might be crucial to the success of this new field. Here the issues are the need for specific analysis and design methods, quality control through testing and metrics, security assessment and overall development process. At the same time, Blockchain development offers new opportunities, such as the certification of empirical data used for experiment; the ability to design processes where developers are paid upon completion of their tasks through Blockchain tokens, after acceptance tests performed using Smart Contracts; and more sound techniques enabling pay-per-use software, again using tokens.
Resource availability, mating opportunity and sexual selection intensity influence the expression of male alternative reproductive tactics

The expression of alternative reproductive tactics can be plastic and occur simultaneously depending on cues that vary spatially or temporally. For example, variation in resources and sexual selection intensity is expected to influence the pay‐off of each tactic and shape the decision of which tactic to employ. Males of the nuptial gift‐giving spider Pisaura mirabilis can adopt three tactics: offering a genuine prey gift, a ‘worthless’ non‐nutritious gift or no gift. We hypothesized that resources and/or male body condition, and mating opportunity and sexual selection intensity, vary over the course of the mating season to shape the co‐existence of alternative traits. We measured these variables in the field over two seasons, to investigate the predictions that as the mating season progresses, (i) males become more likely to employ a gift‐giving tactic, and (ii) the likelihood of switching from worthless to genuine gifts increases. Prey availability increased over the season and co‐varied with the propensity of males to employ the gift‐giving tactic, but we found no support for condition‐dependent gift giving. Males responded to an increase in female availability by increasing their mating effort (gift production). Furthermore, the frequency of genuine gift use increased with sexual selection intensity, consistent with the assumption that sperm competition intensity increases with time. Our results suggest that the frequency of alternative tactics is shaped by seasonal changes in ecological factors and sexual selection. This leads to relaxed selection for the gift‐giving tactic early in the season when females are less choosy and resources more scarce, and increased selection for genuine gifts later in the season driven by mating opportunity and risk of sperm competition.