Miracle-dz/UniFAR-FTUs huggingface dataset:
Radical Currents in Soviet Philosophy: Lev Vygotsky and Evald Ilyenkov

Soviet Marxism is often understood as a tradition that with the exception of figures like Vladimir Lenin or Leon Trotsky, managed to produce very little of significance for twentieth-century Marxist political thought. It is often seen as a void in the overall trajectory of Marxism, made particularly tragic given its origin in the state that emerged from the first successful anti-capitalist revolution. In such a reading, thinkers Lev Vygotsky (1896–1934) and Evald Ilyenkov (1924–1979) in particular, are often portrayed as incredible exceptions to this rule, bright stars who stood out from the grim, boring, and intellectually mediocre corpus that is often given the label “Soviet Marxism” (or Soviet philosophy). Vygotsky is often presented as the “Mozart of psychology,” a young genius who exploded with creativity before dying young of tuberculosis, having very likely been spared the indignity of perishing in the Great Terror of the late thirties. His contributions are generally positioned in the fields of psychology and literary criticism, rather than political philosophy. Ilyenkov, in turn, is the “oddball” philosopher, the thinker who in the immediate aftermath of the Battle of Berlin in 1945, as a young artillery platoon commander, visited Hegel’s grave as his first peacetime activity in liberated Germany. Though brilliant, it is suggested that he never really fitted the Soviet Marxist tradition, having been sidelined by academic bureaucrats, or by his own eccentricities (overemphasis on the thought of Hegel and
Extrinsic calibration of a laser range finder and a camera based on the automatic detection of line feature

This paper presents an extrinsic calibration method of a camera and a laser range finder based on the automatic detection of the line feature. Firstly, a special 3D calibration target which contained four planes and five edges was projected, and then the visible image and laser data of the 3D calibration target could be obtained. Secondly, the automatic detection method of the line feature was presented, which used the linear fitting to acquire the equations of the line features detected by the Hough transform. With the obtained equations, the laser data corresponding to the line features of the 3D calibration target could be acquired by computing the crossover point of two straight-lines. Finally, the rotation matrix and translation matrix between the camera and laser range finder could be acquired with computing the linear equations provided by the laser data and the corresponding crossover point. Experimental result showed the proposed method could acquire the accurate external calibrations.
Security Protocols Protection Based on Anomaly Detection

Security protocols flaws represent a substantial portion of security exposures of data networks. In order to evaluate security protocols against any attack, formal methods are equipped with a number of techniques. Unfortunately, formal methods are applicable for static state only, and don't guarantee detecting all possible flaws. Therefore, formal methods should be complemented with dynamic protection. Anomaly detection systems are very suitable for security protocols environments as dynamic activities protectors. This paper presents an intrusion detection system that uses a number of different anomaly detection techniques to detect attacks against security protocols.
Object narratives and the enslaved at Sam Houston memorial museum

ABSTRACT Objects offer an opportunity to narrate the past. Tourism scholarship has found that plantation museums in the American South give considerable attention to objects associated with the planter class to engage visitors with stories about them and their lifestyle. At the same time, museum stakeholders have cited a lack of objects associated with the enslaved as a barrier to greater representations of slavery. However, the concept of an interface object indicates objects can be used to make connections between things that are not intrinsic and to insert issues into stories that are told. These objects can even become charged with such issues. Using the case study of the Sam Houston Memorial Museum in Huntsville, Texas (USA), this paper considers the use of objects in narrating the past, particularly as it relates to slavery. It draws upon participant observation of guided tours and narrative analysis of the stories told about the enslaved on the Houston farm to consider how ordinary objects are used to incorporate slavery into the overarching museum narrative. Finally, the paper concludes that such objects are effective in initiating the conversation about slavery but are not sufficiently charged to facilitate a more meaningful engagement with the issue.
Development of Dalian Groundwater Resources Management Geographical Information System

With the shortage of groundwater resources and the excessive exploitation in Dalian, the groundwater resources management geographical information system is developed to improve the management efficiency. Firstly, the system structure and the function modules are designed. The mix structure with C/S(Client/Server) and B/S(Browser/Server) is adopted and the system is separated into eight modules: groundwater exploitation management, groundwater permission management, groundwater record management, groundwater level monitor management, groundwater quality monitor management, groundwater payment management, official document management and information publishing management. Secondly, the key technologies of COMGIS-based development pattern are studied. With the compositive development pattern of Map object 2.0 and Power Builder 8.0, the geographical information and the business management information are highly integrated, and the system can be operated with menu-drive model and map-drive model. With menu-drive model, the profession management is prior, and the visual GIS map is provided for daily business operation. With map-drive model, the operation on GIS map is specialized, and the geographical information of well can be observed through the interfaces of GIS attributes and basic database.
Testing of Hybrid Genetic Algorithms for Structured Quadratic Assignment Problems

In this paper, an efficient hybrid genetic algorithm (HGA) and its variants for the well-known combinatorial optimization problem, the quadratic assignment problem (QAP) are discussed. In particular, we tested our algorithms on a special type of QAPs, the structured quadratic assignment problems. The results from the computational experiments on this class of problems demonstrate that HGAs allow to achieve near-optimal and (pseudo-)optimal solutions at very reasonable computation times. The obtained results also confirm that the hybrid genetic algorithms are among the most suitable heuristic approaches for this type of QAPs.
Neural network & LBP-Two dimesional subspace algorithm based face recognition system

—in this paper proposes a novel approach to face recognition based on the combination of feature extraction methods, such as two-dimensional LBP-2DPCA and LBP-2DLDA, with a neural network (MLP). This later is used to classify the features matrix extracts for space data created by Two-dimensional Subspace Analysis. The proposed approach is tested on ORL and FEI face databases. Experimental results on these databases demonstrated the effectiveness of the proposed approach for face recognition with high accuracy compared with previous methods. Keywords— biometric, face recognition, 2DPCA, 2DLDA, LBP, MLP
Smoking Cessation in a Woman With Breast Cancer, Cardiovascular Problems, and Depressive Symptomatology: Case Study

Smoking is the leading preventable cause of morbidity and mortality and has been linked with diseases such as cancer and cardiovascular diseases. The case of a 50-year-old woman with breast cancer, who suffered a stroke the previous month and is in treatment for depression and wants to quit smoking, is analyzed. She smoked 10 cigarettes a day and had never quit smoking. She received six sessions of a cognitive-behavioral psychological intervention to quit smoking. She stopped smoking and remained abstinent through the 1-year follow-up, showing a clear physical improvement and a significant reduction of depressive symptomatology (from 24 on the Beck Depression Inventory–II [BDI-II] before treatment to 1 at the 12-month follow-up). This indicates that, in many cases, smoking cessation produces an improvement not only in physical health but also in mood.
Coalescent Processes When the Distribution of Offspring Number Among Individuals Is Highly Skewed

We report a complex set of scaling relationships between mutation and reproduction in a simple model of a population. These follow from a consideration of patterns of genetic diversity in a sample of DNA sequences. Five different possible limit processes, each with a different scaled mutation parameter, can be used to describe genetic diversity in a large population. Only one of these corresponds to the usual population genetic model, and the others make drastically different predictions about genetic diversity. The complexity arises because individuals can potentially have very many offspring. To the extent that this occurs in a given species, our results imply that inferences from genetic data made under the usual assumptions are likely to be wrong. Our results also uncover a fundamental difference between populations in which generations are overlapping and those in which generations are discrete. We choose one of the five limit processes that appears to be appropriate for some marine organisms and use a sample of genetic data from a population of Pacific oysters to infer the parameters of the model. The data suggest the presence of rare reproduction events in which ∼8% of the population is replaced by the offspring of a single individual.
Location-aware probabilistic route discovery for cognitive radio networks

Cognitive radios emerged as a solution for utilizing the spectrum which is considered a limited resource. Multi-hop routing in cognitive radio networks (CRNs) has been gaining increasing attention as it enables future large-scale CRNs. However, many existing protocols flood the network with control packets in route discovery phase, which leads to wasting bandwidth. In this paper, we introduce a location-aware probabilistic route discovery technique for CRNs that leverages gossiping with dynamic probabilities to reduce the flooding overhead without affecting the quality of the discovered routes. The proposed technique can be used on top of any routing protocol regardless of whether it relies on a common control channel or not. Evaluation of our technique through ns2 simulations for improving different classes of routing protocols shows a significant reduction in the number of control packets by up to 75% and an increase in throughput by up to 400%.
Analysis of Existing Approaches and a New Hybrid Strategy for Synchronization in Sensor Networks ∗

Prior work on sender-receiver-based time synchronization in sensor networks can be categorized into two approaches: two-way packet exchange and one-way packet dissemination. We provide a comprehensive analysis of synchronization errors with these two approaches. We find that one-way dissemination approach provides good relative drift estimation and poor drift estimation while the two-way exchange approach provides good drift estimation but poor relative drift estimation. Consequently, both approaches can result in significant cumulative error propagation over multiple hops. We develop and analyze a hybrid one-way dissemination/two-way exchange technique. The results suggest that this hybrid approach can provide bounded error propagation in multi-hop settings.
How Synaptotagmin Promotes Membrane Fusion

Synaptic vesicles loaded with neurotransmitters are exocytosed in a soluble N-ethylmaleimide–sensitive factor attachment protein receptor (SNARE)–dependent manner after presynaptic depolarization induces calcium ion (Ca2+) influx. The Ca2+ sensor required for fast fusion is synaptotagmin-1. The activation energy of bilayer-bilayer fusion is very high (≈40 kBT). We found that, in response to Ca2+ binding, synaptotagmin-1 could promote SNARE-mediated fusion by lowering this activation barrier by inducing high positive curvature in target membranes on C2-domain membrane insertion. Thus, synaptotagmin-1 triggers the fusion of docked vesicles by local Ca2+-dependent buckling of the plasma membrane together with the zippering of SNAREs. This mechanism may be widely used in membrane fusion.
Transport level performance-energy trade-off in wireless networks and consequences on the system-level architecture and design paradigm

Low power consumption is imperative to enable the deployment of broadband wireless connectivity in portable devices such as PDA or smart telephones. Next to low power circuit and architecture design, system-level power management is revealed to be a key technology for low power consumption. Recently, "lazy scheduling" has been proposed for system level power reduction. It has been shown to be very effective and complementary to more traditional shutdown based approaches. So far, analysis has been carried out from the viewpoint of medium access control (MAC) and data link control (DLC) layers. Yet, effective power management in radio communication requires consideration of end-to-end cross-layer interactions. In this paper, we analyze the implication of "lazy scheduling" from the transport layer perspective. It is shown that a key trade-off between queuing delay and physical layer energy drives the global trade-off between user throughput and system power. Conditions under which "lazy scheduling" is efficient are established and important conclusions on effective system-level architecture and cross-layer power management are drawn.
Quality Assurance And Integration Testing Aspects In Web Based Applications

Integration testing is one the important phase in software testing life cycle (STLC). With the fast growth of internet and web services, web-based applications are also growing rapidly and their importance and complexity is also increasing. Heterogeneous and diverse nature of distributed components, applications, along with their multi-platform support and cooperativeness make these applications more complex and swiftly increasing in their size. Quality assurance of these applications is becoming more crucial and important. Testing is one of the key processes to achieve and ensure the quality of these software or Webbased products. There are many testing challenges involved in Web-based applications. But most importantly integration is the most critical testing associated with Web-based applications. There are number of challenging factors involved in integration testing efforts. These factors have almost 70 percent to 80 percent impact on overall quality of Web-based applications. In software industry different kind of testing approaches are used by practitioners to solve the issues associated with integration which are due to ever increasing complexities of Web-based applications.
Comparing the genetic architecture and potential response to selection of invasive and native populations of reed canary grass

Evolutionary processes such as migration, genetic drift, and natural selection are thought to play a prominent role in species invasions into novel environments. However, few empirical studies have explored the mechanistic basis of invasion in an evolutionary framework. One promising tool for inferring evolutionarily important changes in introduced populations is the genetic variance–covariance matrix (G matrix). G matrix comparisons allow for the inference of changes in the genetic architecture of introduced populations relative to their native counterparts that may facilitate invasion. Here, we compare the G matrices of reed canary grass (Phalaris arundinacea L.) populations across native and invasive ranges, and between populations along a latitudinal gradient within each range. We find that the major differences in genetic architecture occur between populations at the Northern and Southern margins within each range, not between native and invasive populations. Previous studies have found that multiple introductions in introduced populations caused an increase in genetic variance on which selection could act. In addition, we find that differences in the evolutionary potential of Phalaris populations are driven by differences in latitude, suggesting that selection also shapes the evolutionary trajectory of invasive populations.
Delay fault ATPG for F-scannable RTL circuits

Today's digital circuits demand both high speed performance and miniaturization of chip size. As a result, delay fault testing has become very important to verify the quality requirements of VLSI chips. Full scan has been used to generate test patterns that achieves high fault coverage, of which the standard techniques for delay scan testing are skewed-load and broad-side. However, as the circuits become larger, using full scan can be very costly due to high area overhead and long test application time. In this paper, we apply delay fault automatic test pattern generation (ATPG) on F-scannable circuits. In our previous work [3], [4], we have shown the strengths of F-scan compared with full scan in terms of area overhead, test application time, and fault coverage. We utilize the advantages of F-scan to solve the current problems of skewed-load and broad-side. The proposed method is to utilize a hybrid model for F-scannable circuits in generating test patterns, wherein a fast scan enable signal used by skewed-load technique is not required. Transition delay fault coverage achieved by this approach is equal to or higher than that achieved by both skewed-load and broadside approaches for gate-level full scan. This is proven through our experiments on ITC'99 benchmark circuits.
Compression Techniques in Cooperative Embedded Systems

Many of today’s embedded systems, such as sensor networks, have extremely tight constraints on energy and area, rely on wireless communication to together solve a given task. This paper shows that, for many cooperative embedded systems, it is beneficial to trade communication with computation and compress data before it is transmitted over the air. In order to better understand the impact of compression, two compression schemes are shown. Also, this paper shows that there are indeed many aspects to consider to understand the energy impact of adding compression. The general trends in computer architecture and communication suggests that compression can be even more useful in future system.
A Recommender System in u-Commerce based on a Segmentation Method

It has been increasing the number and types of products on the u-commerce market and promoting interest in associated items rapidly. Therefore, agility and real time accessibility are crucial element in u-commerce. Existing collaborative filtering(CF) adopts evaluation methods based on personal profiles. However, these methods have been identified with difficulties in accurately analyzing the customers' tendencies and level of interest, as well as the problems of cost, consequently leaving customers unsatisfied. This paper proposes a new method of recommender system in u-commerce using cluster analysis of segmented merchandise to have different weights based on FRAT(Frequency, Recency, Amount and Type) method. Instead of using user's profiles for rating, we used an implicit method. It is necessary for us to make the task of preprocessing such as keeping FRAT method and clustering of merchandise category in order to recommend items with the profit/weight/importance of segmented merchandise. To verify improved performance of our proposing system compared to the previous system. We have conducted experiments with the same dataset, which was collected from a cosmetic web shopping mall.
Multiple big data processing platforms

The integration of Hive, Impala and Spark SQL platforms has achieved to perform rapid data retrieval using SQL query in big data environment. This paper is to design the optimized platform selection for highly improving the response of data retrieval. It can automatically choose the best-perform platform to best perform SQL commands. In addition, the distributed memory storage systems using Memcached and the distributed file system Hadoop HDFS have implemented the caching so that the fastest data retrieval has done once the repeated SQL command has applied.
High performance hybrid NoCs design with wireless/RF-I

According to the International Technology Roadmap for Semiconductors (ITRS), improving characteristics of metal wires will no longer satisfy performance requirements for future large scale MPSoC systems, and new interconnect paradigms are needed. Different revolutionary approaches like optical interconnect, Radio Frequency Interconnect (or RF-I), wireless interconnects with CMOS ultra wide band (UWB) technology have been explored. The hybrid hierarchical architecture with Wireless/RF-I backbones is more cost-efficiency and feasible due to the advantages in CMOS compatibility compared with other alternative interconnects, and has become one of the mainstreams of CMP architectures. However, how to design an efficient HNoCs is a new challenge. This work provides the architecture design flow of the HNoCs with wireless/RF-I, and explores the key problems in the architecture design from the perspectives of topology, resource management strategy and routing problems, which are different with traditional metallic interconnections.
Acoustic feature conversion using a polynomial based feature transferring algorithm

This study proposes a polynomial based feature transferring (PFT) algorithm for acoustic feature conversion. The PFT process consists of estimation and conversion phases. The estimation phase aims to compute a polynomial based transfer function using only a small set of parallel source and target features. With the estimated transfer function, the conversion phase converts large sets of source features to target ones. This study evaluates the proposed PFT algorithm using a robust automatic speech recognition (ASR) task on the Aurora-2 database. The source features were MFCCs with cepstral mean and variance normalization (CMVN), and the target features were advanced front end features (AFE). Compared to CMVN, AFE provides better robust speech recognition performance but requires more complicated and expensive cost for feature extraction. By PFT, we intend to use a simple transfer function to obtain AFE-like acoustic features from the source CMVN features. Experimental results on Aurora-2 demonstrate that the PFT generated AFE-like features that can notably improve the CMVN performance and approach results achieved by AFE. Furthermore, the recognition accuracy of PFT was better than that of histogram equalization (HEQ) and polynomial based histogram equalization (PHEQ). The results confirm the effectiveness of PFT with just a few sets of parallel features.