Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation on the Present Situation of University Teachers’ Scientific Research Pressure under the Background of Information

Universities are gradually realizing information education. Information technology makes research more convenient, but teachers in colleges and universities are still facing great pressure from scientific research. In order to understand the current scientific research pressure status of university teachers, this study designed the “Questionnaire Survey of University Teachers’ Research Pressure Situation”, using a convenient sampling method to distribute questionnaires online. A total of 208 valid questionnaires were obtained. Using the data description and chi-square test method in the SPSS software to analyze the digitized survey results. The survey results show that college teachers have less scientific research output but are willing to engage in scientific research. Research project application and scientific research workload are currently the biggest pressures. Therefore, the school should create a good and relaxed scientific research environment, and teachers should maintain a good psychological state and reduce their own research pressure.
Analog-digital Hybrid Eigenmode Transmission for Massive Short-range MIMO

this paper proposes an analog-digital hybrid eigenmode transmission technique for massive short-range MIMO, which utilizes both analog and digital beamformings. In this method, first, a channel matrix in a plane-symmetrically configured MIMO array is block-diagonalized by analog beamforming with hybrid couplers. Then, eigenmode transmission is virtually realized by digital beamforming toward each block-diagonalized sub channel matrix. This approach is geometrically realizable and results in a reduction in the required number of calculations. Keywords—short-range MIMO; massive MIMO
Technische Universität München Fakultät für Informatik Lehrstuhl III - Datenbanksysteme Efficient Access Control for Service-oriented IT Infrastructures

Service-oriented architectures provide high levels of flexibility and interoperability, thus supporting the realization of adaptive business processes. This thesis presents flexible access control strategies providing the basis for the reliable integration of applications and enabling efficient access control for service compositions. By consolidating multi-level authorizations, we show how redundant security evaluations can be avoided. Furthermore, consolidated policies ensure the principle of least privilege. Inter-organizational service compositions are supported through flexible distributed access control strategies, whose efficiency is provided by means of secure caching techniques.
Fully Homomorphic Encryption

Scheme, 65 augmented decryption circuit, 35 Babai’s Nearest Plane Algorithm, 57 bootstrappability, 33 bootstrappable scheme, 35 Closest Vector Problem, 49–50 Compacteness, 25 Compacteness , 25 Correctness, 25 Correctness , 25 distinguished representative, 47
Estimating image blur in the wavelet domain

In this paper, a wavelet based method is proposed to estimate the blur in an image using information contained in the image itself. We look at the sharpness of the sharpest edges in the blurred image, which contain information about the blurring. Specifically, a smoothness measure, the Lipschitz exponent, is computed for these sharpest edges. Its value is related to the variance of a gaussian point spread function. This value is only dependent on the blur in the image and not on the image contents. This allows us to estimate the variance of the blur directly from the image itself. With minor modifications, the method can be extended to other types of blur that are described by one parameter (airy disks, out-of-focus blur, …).
A Continuous, Speaker Independent Speech Recognizer for Afaan Oroomoo: Afaan Oroomoo Speech Recognition Using HMM Model

This thesis work is performed through integration and implementation of appropriate tools, techniques and methodologies. Furthermore, the special features of the language are also entertained due to the speech characteristics taken in to considerations, so as to arrive in to the appropriate results for the language under investigation. Mainly the purpose of this research was towards exploring the possibility and applicability of the selected tools and techniques to continuous Afaan Oromoo speech utterances and the possible outcomes that recognizer brought up. To arrive to this, the researcher performed different activities towards achieving the objective. Accordingly the open source tool from Sphinx System, Sphinx Train and Sphinx4, was selected which work with the statistical approach under HMM for continuous Afaan Oromoo speech recognizer as the tool have a variety of modules that implement state-of-the-art speech recognition techniques beyond its modularity and flexibility. As to the knowledge of the researcher, this research is the first of its kind for continuous Afaan Oromoo speech recognition where as one attempt for isolated word recognition for Afaan Oromoo made earlier.
MagoNode++: a wake-up-radio-enabled wireless sensor mote for energy-neutral applications: poster abstract

The combination of low-power design, energy harvesting and ultra-low-power wake-up radios is paving the way for perpetual operation of Wireless Sensor Networks (WSNs). In this work we present the MagoNode++, a novel WSN platform supporting energy harvesting and radio-triggered wake ups for energy-neutral applications. The MagoNode++ features an energy-harvesting subsystem composed by a light or thermoelectric harvester, a battery manager and a power manager module. It further integrates a state-of-the-art RF Wake-Up Receiver (WUR) that enables low-latency asynchronous communication, virtually eliminating idle listening at the main transceiver. Experimental results show that the MagoNode++ consumes only 2. 8μA with the WUR in idle listening and the rest of the platform in sleep state, making it suitable for energy-constrained WSN scenarios and for energy-neutral applications.
CSeg&Tagl.0: A Practical Word Segmenter and POS Tagger for Chinese Texts

Chinese word segmentation and POS tagging are two key techniques in many applications in Chinese information processing. Great efforts have been paid to the research in the last decade, but unfortunately, no practical system with high performance for unrestricted texts is available up to date. CSeg&Tag1.0, a Chinese word segmenter and POS tagger which unifies these two procedures into one model, is introduced in this paper. The preliminary open tests show that the segmentation precision of CSeg&Tag1.0 is about 98.0% - 99.3%, POS tagging precision about 91.0% - 97.1%, and the recall and precision for unknown words are ranging from 95.0% to 99.0% and from 87.6% to 95.3% respectively. The processing speed is about 100 characters per second on Pentium 133 PC. The work of improving the performance of the system is still ongoing.
An Analytical Study on Service Quality of Hotels in Haryana

Perception of the service quality of customer depends upon the experience from hotel services. Rapid growth in service sector there is huge demand that every organization measure there service quality to remain in the competitive sector. The main objective of the study is to find out the customer perception regarding the service quality in hotels of Haryana. In this study exploratory cum descriptive design is followed. In this study the data is collected from the primary source. In this study the data is collected from the 60 hotels of Haryana and 10 respondents are selected from the each hotel on the basis of the convenience sampling. Thus, total sample size in the study is 600. According to the perception of the customers in the Haryana hotels they are getting great service quality from value for money, quick check in/ checkout, quality of room, security, food, environment, staff, timely services etc. According to the perception of the customers in the Haryana hotels they are getting not satisfied with the internet facility, complementary service, customized service, party hall, parking facilities etc.
Determinants of agricultural land price in Brittany : the role of quotas , environmental and land regulations

The objective of the paper is to estimate the determinants of agricultural land price in the French region of Brittany, in particular to assess the role of regulations that may affect farmland price: agricultural policies, environmental regulations, and land regulations. We use data regarding individual transactions obtained from notaries, from 1994 to 2010. Based on a Present Value Model, we estimate a random parameter model, where some regulations directly affect land price and other affect it indirectly through revenues generated by the land. We estimate the model on two sub-samples: a sub-sample including only farmer buyers, and a sub-sample including non-farmer buyers. Results indicate that milk quotas increase the price of land purchased by farmers. Environmental zoning regulations decrease the price of land, while the Nitrate Directive increases the price of agricultural land bought by farmers. The price of plot decreases when buyers are farmers, even more when they are currently farming the plot. However, no significant effect of the public body regulating land transactions (SAFER) is found.
A Configuration Method of Virtual Networks with Hierarchical Robustness Inspired by the Fractality of Brain Functional Networks

The Internet provides various services which are essential for our daily life as one of the social infrastructure. The number of services provided through the Internet is increasing days by day. However, a long history of developments of Internet causes inflexibility of the today’s Internet, that is, it is difficult to integrate modern technology and support new types of requests for services. Recently, the network virtualization attracts a great deal of attention as one of technology to take performance and manageability of services. One of the important research issues for network virtualization is how to embed a request of virtual networks into a physical infrastructure. Another of the important research issues is to investigate what kinds of the virtual network should be constructed dependent on a service request. In this thesis, we focus on the latter issue and investigate a configuration method of virtual networks to provide resilient, efficient, and scalable services to the Internet. Our configuration method is inspired from the fractality of human brain functional networks (BFNs). Fractality is a self-similar property of the topology, and it contributes to robustness and redundant paths in BFNs. Our configuration method piles up a single virtual network as a module in a hierarchical manner and constructs intermodules links connecting non-hub nodes. Results of numerical evaluations reveal that the fractal topology configured by our proposed method has superior robustness and efficiency. The reachability of the fractal topology is 17% higher than the reachability of non-fractal topology when a 10%-node failure occurs, and the fractal topology relaxes the traffic concentration by about 45% on the most congested node.
ZIKA DRUG DISCOVERY-A REVIEW

Zika virus (ZIKV) has only recently been exposed as a significant public health threat, and much of our limited knowledge of its pathogenesis and triggered immune responses were discovered in only the last few years. There are currently no ZIKV-specific therapeutics or vaccines available. This review seeks to bring the reader up-to-date with the latest developments in finding a way to combat this emerging infectious disease. The developing fetus is most at risk of ZIKV complications, therefore pregnant women are an especially important target for treatments and vaccines; however, this presents challenges for ensuring both efficacy and safety in this immunocompromised population. Gaps in our ZIKV knowledge base, animal model limitations, and concern for adverse immune responses and teratogenic effects, all pose challenges to drug developers, and could prolong the wait before a ZIKV vaccine or treatment becomes available.
Towards High Accuracy Named Entity Recognition for Icelandic

We report on work in progress which consists of annotating an Icelandic corpus for named entities (NEs) and using it for training a named entity recognizer based on a Bidirectional Long Short-Term Memory model. Currently, we have annotated 7,538 NEs appearing in the first 200,000 tokens of a 1 million token corpus, MIM-GOLD, originally developed for serving as a gold standard for part-of-speech tagging. Our best performing model, trained on this subset of MIM-GOLD, and enriched with external word embeddings, obtains an overall F1 score of 81.3% when categorizing NEs into the following four categories: persons, locations, organizations and miscellaneous. Our preliminary results are promising, especially given the fact that 80% of MIM-GOLD has not yet been used for training.
Predicting Violent Behavior using Language Agnostic Models

: Groups advocating violence have caused signiﬁcant destruction to individuals and societies. To combat this, governmental and non-governmental organizations must quickly identify violent groups and limit their exposure. While some groups are well-known for their violence, smaller, less recognized groups are difﬁcult to classify. However, using texts from these groups, we may be able to identify them. This paper applies text analysis techniques to differentiate violent and non-violent groups using discourses from various value-motivated groups. Signiﬁcantly, the algorithms are constructed to be language-agnostic. The results show that deep learning models outperform traditional models. Our models achieve high accuracy when fairly trained only on data from other groups. Additionally, the results indicate that the models achieve better performance by removing groups with a large amount of documents that can bias the classiﬁcation. This study shows promise in using scalable, language-independent techniques to effectively identify violent value-motivated groups.
Exploring the Knowledge Curation Work of Wikidata

The purpose of the proposed research is to explore how editors participate in Wikidata and how they organize their work. This research addresses the need to have greater knowledge of how Wikidata editors curate data for use. Three theories will be used as a methodological and conceptual framework for data collection and analysis: Activity Theory, Social Identity Theory, and Self-determination Theory. The study uses an exploratory case study methodology. An understanding of the activities in Wikidata, including the roles played, tools used, norms and rules followed, and solutions sought to address contradictions among different components of the activities will help inform communities wishing to contribute data to or reuse data from Wikidata. Furthermore, the findings of this study can go beyond understanding how Wikidata curates knowledge and potentially inform the design of other similar online production communities, scientific research institutional repositories, digital archives, and libraries.
Crop Protection solation , morphological and molecular characterization of Bacillus huringiensis strains against Hypothenemus hampei Ferrari Coleoptera : Curculionidae : Scolytinae )

The coffee berry borer Hypothenemus hampei Ferrari, 1876 (Coleoptera: Curculionidae: Scolytinae) is considered the most serious pest of the coffee crop and is controlled primarily with the use of chemical insecticides. An alternative to this control method is the use of the entomopathogenic bacterium, Bacillus thuringiensis Berliner, 1911. Therefore, the objective of this work was to select strains of B. thuringiensis virulent against H. hampei and characterize them by morphological and molecular methods to identify possible genes for the production of genetically modified plants. To achieve this objective, 34 strains of B. thuringiensis underwent a selective bioassay to evaluate their toxicity to H. hampei first-instar larvae. Among the strains tested, 11 and the standard B. thuringiensis subspecies israelensis (IPS-82) caused mortality above 90%. Then, the median lethal concentration (LC50) was estimated for these strains followed by characterization using morphological, biochemical and molecular methods. The lowest LC50 was obtained for strain BR58, although this concentration did not differ significantly from that of the standard strain IPS-82 or from that of strains BR137, BR80 and BR67. The molecular characterization detected cry4A, cry4B, cry10, cry11 and cyt1 genes in 10 of the most virulent strains (BR58, BR137, BR80, BR81, BR147, BR135, BR146, BR138, BR139, BR140). Strain BR67 differed completely from the others and amplified only the cry3 gene. This strain was more virulent than BR135, BR146, BR138, BR139 and BR140, but it did not differ from BR58, BR137, BR80, BR81 and BR147. The protein profile revealed proteins of 28, 65, 70 and 130 kDa, and the morphological analysis identified spherical crystalline inclusions in all strains. The results showed that the 11 strains studied have potential for use as a gene source for insertion into coffee plants for the control H. hampei, especially the cry3, cry4A, cry4B, cry10, cry11 and cyt1 genes, that were repeated in the most virulent isolates.
Spectral Analysis of Storm Waves using the SLEX algorithm and the Hilbert-Huang Transform

In this work we perform a comparative study of storm wave spectra using the Hilbert-Huang Transform and the Smooth Localized complex EXponencial (SLEX) algorithm. This last algorithm divides the data set into approximately stationary sections by detecting changes in their spectra. We compare the spectra produced by both algorithms and also look at the behaviour of the Hilbert spectrum around the change points detected by SLEX. Finally, we look at large waves (higher than 6.5 m.) and their relation with the Hilbert spectrum. The data analyzed come from a North Sea storm. The results show that both methods can improve the information available for the understanding of time varying wave fields. The ability to produce stable, high resolution spectra for storm conditions is of considerable interest in the design of floating offshore structures, particularly wave energy converters, which may require tuning to provide greater efficiency of wave energy conversion.
A Controlled User Study on Human Perception of Web Search Latency ∗

We conduct two controlled user studies that reveal how response latency affects the user behavior in web search. The first study examines users’ sensitivity to different levels of latency as well as their perception of response time. The second study demonstrates the effects of increasing response latency on the search experience and, more specifically, on user engagement and satisfaction. As a side contribution, we also look at potential bias due to search site branding.
Folding of knotted proteins under nascent conditions and unfolding of entangled neurotoxic polypeptydes in proteasomes

One of the key unsolved challenges at the interface of physical and life sciences is to formulate comprehensive computational modeling of the whole eukaryotic cell, at a single molecule resolution, which would deeply integrate reaction-diffusion, mechanical-structural and transport processes of cell's salient mechanochemical modules. Towards addressing this problem, we have developed a unique reactive mechanochemical force-field and software, called MEDYAN (Mechanochemical Dynamics of Active Networks: http://medyan.org). MEDYAN integrates dynamics of multiple mutually interacting phases: 1) a spatially resolved solution phase is treated using a reaction-diffusion master equation; 2) a polymeric gel phase is both chemically reactive and also undergoes complex mechanical deformations; 3) flexible membrane boundaries interact mechanically and chemically with both solution and gel phases. The above-mentioned computational components constitute the fundamental ingredients for minimal modeling of eukaryotic cells at a single molecule resolution. In this talk, I will outline our recent progress in simulating multi-micron scale cytosolic/cytoskeletal dynamics at 1000 seconds timescale, and also highlight the outstanding challenges in bringing about the capability for routine molecular modeling of eukaryotic cells.
Interpretation of Action Potential Generation Mechanism in Cells by Potassium Channel "Origami Windmill" Model

The mechanism of cell action potential was explained by using the principle of potassium channel "origami windmill" model. It is inferred that ion channels should include at least two categories: One kind of channel is "special ion channel", its structure is like an origami windmill model. All cations passing through this channel rotate into the interior from one-way, only in and no out. Compared with K+, they have two states of "open" and "closed", When they are "open", their aperture is not less than K+ diameter. When "closed", their aperture is smaller than K+ diameter, but not smaller than Na+ diameter. The other channel is the "universal ion channel". All Ions passing through this channel unidirectional flow too, only out and no in. Compared with K+, they have two states of "open" and "closed", When they are "open", their aperture is not less than K+ diameter. When "closed", their aperture is smaller than K+ diameter, but not smaller than Na+ diameter. This model reasonably explains the whole process of action potential occurrence, and supports Hodgkin, Huxley 's experimental the results of action potential. This model does not support their explanation of the mechanism of action potential generation in cells and the core ideas of "membrane theory" and "ion theory". It negates the selective filter atomic model and the propeller model established by MacKinnon et al. It is tiped that the main role of "sodium-potassium pump" or "ATPase" is not responsible for the transport of Na+ and K+ from the inside and outside of the cell and maintaining cell membrane potential. The channels through which ions enter and escape cells are independent. This suggests that most channels may be sharing in the same direction by other inorganic ions and organic molecules.
Ontologies for observations and actuations in buildings: A survey

Spaces and elements in the buildings’ environment have emerged as platforms where materializations of observations and actuations promise to be very proﬁtable. The advent of the Internet of Things (IoT) paves the way to address this challenge but the heterogeneity of the represented knowledge about these artifact systems poses a real problem. Ontologies can be considered as part of the solution to overcome the IoT’s inherent hurdles. A wise option promoted by recent approaches is to design networks of complementary ontologies. However, different points of view are possible and such diversity could lead to interoperability problems. This article advocates for a networked ontology infrastructure conceived on principled basis guided by documented judicious conceptualizations. In this regard, this survey points towards ontologies involved in conceptualizations of observations and actuations, where the utility of that conceptualization arises when some features of interest need to be observed or acted upon. For each of the reviewed ontologies, their fundamentals are described, their potential advantages and shortcomings are highlighted, and the use cases where these ontologies have been used are indicated. Additionally, use case examples are annotated with different ontologies in order to illustrate their capabilities and showcase the differences between reviewed ontologies. Finally, this article tries to answer two research questions: Is there a ﬁrm basis, broadly admitted by the community, for the development of such a networked ontology infrastructure for the observations and actuations in buildings? What ontologies may be considered helpful towards that goal?