Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning Based Network Analysis Using Millimeter-Wave Narrow-Band Energy Traces

Next-generation wireless networks promise to provide extremely high data rates, especially exploiting the so-called millimeter-wave frequency range. Gaining information from spectrum usage is becoming important to provide smart adaptation capabilities to future network protocol stacks. Issues such as deafness, misaligned antennas, or blockage may severely impact network performance, and their identification is crucial. Despite the complexity of full analytical models, machine learning techniques are progressively being considered to improve spectrum usage at higher layers. In this paper, we design a signal processing technique that uses narrowband physical layer energy traces, obtained from one or multiple channel sniffers. The proposed technique utilizes a combination of template matching and an Explicit Duration Hidden Markov Model (EDHMM) to correctly classify frames, while coping with the non-stationarity of the traces. This leads to a protocol level monitor that does not need to decode the channel at the physical layer, but just infers the type of packets that are exchanged based on sub-sampled energy traces. The performance of this framework is evaluated using off-the-shelf mm-wave wireless devices, quantifying its detection performance in the presence of one or multiple sniffers, and assessing the impact of physical layer parameters such as noise power and signal levels.
Impact of Manure Storage Time and Temperature on Microbial Composition and Stable Fly (Diptera: Muscidae) Development

Samples are often frozen for preservation until needed for use. It has been a common practice to store fresh dairy manure in the freezer until needed for fly development studies. However, conflicting data have suggested that freezer temperature and duration of manure may impact fly development studies, and it is likely due to the change in microbial comminutes due to the freezer conditions. In this study manure storage conditions were assessed to ascertain how temperatures impact stable fly, Stomoxys calcitrans L. , survival to pupation and determine which bacterial populations impacted fly development using massively-parallel sequencing and 16S metagenomic analysis. Stable fly survival to pupation was greater in manure that was stored warm (27˚C) or frozen (-20˚C or -80˚C) for 24 days as compared to fresh manure samples. Refrigeration (4˚C) of the manure for 24 days did not affect fly development and slightly decreased the pupal weights. Over 80 bacterial families were detected by sequencing allowing for a more thorough assessment of changes in bacterial populations. Only minor shifts were observed in bacterial family composition in the manure when refrigerated or frozen for 24 days, but significant population changes were observed when the manure was incubated for 24 days at 27˚C. Since it is the temperature and incubation time that yielded the greatest pupation rate, it is hypothesized that the manure microbial community impacts the growth and development of stable flies. This study has determined suggested freezer conditions for the best storage of manure samples to maintain bacterial diversity and retain the closest bacterial populations to freshly collected manure. Although untouched, aged (20 days) manure is best to use to assess fly development, it is not always feasible in laboratory experimentations. This study demonstrates the importance of preservation techniques on manure samples, which could also confer to storage of other biological specimens that contain resident microbes.
Associations Between the Principle of Provenance and Metadata: Practical Implementation and Cases

The principle of provenance is the fundamental theory of archives science, which also possesses important reference value in various areas of research and practice. This paper commences with investigating the core value of the principle of provenance, considering the principle to be the unity of theory and method and its core value lies in following historicalism and respecting essential attributes of the archives. Then the authors focus on the realm of government information management and explore the metadata implementation of the core value of the principle of provenance in the era of electronic records. In its essence, the principle of provenance requires full understanding and preservation of the source information of the record. In the age of electronic records this has ascended to the significance of obtaining "contextual information", which is often stabilized as metadata in electronic records, reflecting the process of the record’s creation, maintenance and long term preservation. Source information as the contextual information reflecting the record creation process, its typical form of expression in metadata is provenance metadata. Therefore the authors explore the implications of provenance metadata and its essential forms. The authors hold that source information is the indispensable characteristic information in records and archives, and also the essential form for the principle of provenance to exhibit the connotations of "provenance". This paper also explains that provenance metadata has further realized the core value of the principle of provenance, playing important roles in ensuring the authenticity, integrity, reliability and usability of electronic records as well as being the basis of their long term preservation and usage. In addition, the authors make concrete exposition on the composition and function of provenance metadata, considering it to be composed of entities and elements, specifically including such metadata as institution, business, environment, relationship and time. Different provenance metadata entities and elements record the source information of the electronic record from its creation until transfer to archives, performing various important functions in government electronic record management. The authors further their research through analyzing and comparing the characteristics of provenance metadata in government electronic record metadata standards at international, national and local jurisdictions levels. Some feasible suggestions for future research are made in the conclusion.
Speckle Noise Removal in SAR Images based on Sparse Coding by Dictionary Learning and Collaborative Filtering

Recently, dictionaries combined with sparse learning techniques became extremely popular in computer vision and image processing. Three basic approaches to image denoising are spatial domain method, transform domain method and dictionary learning method. Generally, dictionary learning is based on learning a large group of image patches in such a way that each patch in the output image is expressed as a linear combination of few atoms of the dictionary. This paper presents a method based on dictionary learning and collaborative filtering to despeckle Synthetic Aperture Radar (SAR) image. In this paper, we present a comparative result among different dictionary learning algorithms based on DCT, K-SVD and BM3D applied on the Synthetic Aperture Radar (SAR) despeckling task. The experimental results show that the proposed K-SVD algorithm is provide an adequate results in removing speckle noise from the SAR images. Keywords— SAR, Sparse Representation, Dictionary Learning, K-SVD, BM3D
Featre selection on large-scale issues using clustering and meta-algorithms

Selection of appropriate input features in the increase of the efficiency of data mining algorithms has a direct and significant effect. More precisely, this extraction of knowledge from problem data is facilitated by three things: reducing data volumes, eliminating duplicate features, and eliminating unrelated features. Given this necessity, extensive research has been carried out in recent years with a variety of trends (statistical, algorithmic, and learning) in this regard. In the meantime, hyper-algorithms such as genetic algorithms have been considered by many researchers. In this research, we have tried to achieve more efficiency by combining clustering and genetic algorithms and reducing computational time. In this regard, a new representation of the genetic algorithm corresponding to this problem is presented and its operators are appropriately defined. Also, for efficient use of clustering in this study, it was necessary to provide a relatively new algorithm for rapid clustering. To validate the proposed methods and determine their efficiency in solving real problems, several experiments have been carried out on standard data. In the next step, analyzing the proposed methods, we compared the results of the experiments with various algorithms reported in valid and new articles. These comparisons have shown improvements in the efficiency of proposed methods in terms of the accuracy of categorization and feature reduction compared to competing methods. According to the analysis, this improvement was due to the positive effect of clustering in a faster search of the problem space by the genetic algorithm and adapted display.
CYCLIC GESTURES AND MULTIMODAL SYMBOLIC ASSEMBLIES: AN ARGUMENT FOR SYMBOLIC COMPLEXITY IN GESTURE

In this dissertation, I seek to better understand the nature of the relationship between meanings expressed in gesture and those expressed in speech. This research focuses on the use of cyclic gestures in English. Cyclic gestures are manual co-speech gestures that are characterized by a circular movement of the hand or arm. Despite cyclic gestures being commonplace in many types of spoken discourse, no previous studies to date have specifically explored the functions these gestures serve in English. Broadly, this dissertation addresses two questions: (1) What functions do cyclic gestures serve in interaction in English, and (2) how are cyclic gestures integrated with other meaningful units in multimodal expressions? Using data collected from television talk shows, I examine the functional-semantic properties of spoken language expressions that accompany cyclic gestures and identify properties of meaning that repeatedly align with the expression of the gestures. I also explore relationships between fine-grained formal properties of cyclic gestural expressions and functional-semantic properties of the co-expressed speech. The results of the study find a number of significant relationships between gesture forms and spoken language meanings. For example, when cyclic gestures were expressed with spoken constructions serving an evaluative function, they were significantly associated with bimanual asynchronous rotations and finger spreading (p < .001) with a moderately strong effect size (φc = 0.26). Drawing on the patterns identified in the analysis of the data, I analyze cyclic gestures as component symbolic structures that profile schematic processes. I argue that
Changes on the heat shock protein 70 (HSP70) in water buffalo spermatozoa
revealed the capacitation like event in cryopreservation

Heat Shock Protein 70 (HSP70) induction helps alleviate the adverse effects of several types of stress in the cells. It can also play a significant role in sperm protection and survival during the extreme conditions of the semen cryopreservation process. The present study was conducted to investigate the role of this protein in spermatozoa of water buffalo by analyzing the changes in its gene expression, protein induction, and distribution after cryopreservation. Differences in HSP70 mRNA and protein levels between fresh and frozen semen samples were determined through real-time PCR and western blot analysis, respectively. Cellular localization patterns of HSP70 in the different sample groups were then detected in an indirect immunofluorescence assay. Lastly, the average sperm motilities of the semen sample groups were evaluated and compared. Results showed that the HSP70 mRNA expression decreased by fifty percent (P<0.05) while the protein level significantly rose by sixty percent (P<0.05) in the frozen sample group. The localization of HSP70 protein in the sperm head also shifted from the equatorial segment in the fresh sample group to the post-acrosomal region in frozen semen samples. Moreover, the average sperm motility appeared to fluctuate with the mRNA level and comparably decreased by fifty percent (P<0.05) in the frozen sample group. These changes on the HSP70 in spermatozoa exhibited the adverse effects of the underlying capacitation-like event in the cryopreservation process. Overall, these findings presented a valuable insight into the current buffalo semen cryopreservation technique and a potential approach to its improvement.
Matching Causality Hypotheses to Simulations of Biological Systems

Computational models for studying chemical reaction networks are indispensable tools for analyzing the intertwined reactions involved in complex biological systems. Indeed, executable models such as the programming language Kappa provide useful insights by allowing users to specify a system of chemical rules, and then simulating plausible sequences of reactions that might execute in our cells given this rule system. Kappa thus provides the opportunity to analyze the sequence of steps that lead to a chemical event of interest. Formal models for the causal structure of these sequences have been developed based on Kappa, describing the chain of events that directly or indirectly contribute to the production of an event of interest. These models, known as stories, attempt to capture the notion of a biological pathway. In this thesis, we develop a novel framework for matching stories to Kappa simulations, ensuring that we report a match if and only if the story is a reasonable model for the underlying causality of the simulation. We then present algorithms to efficiently compute these matches, and apply these algorithms in two settings: we study the prevalence of competing pathways in cellular death, and we analyze the dynamics of a common biological pattern, three-membered ring formation. Our insights on these systems align with those presented in literature, demonstrating that these matching algorithms have applicability for analyzing biological systems.
Dimensional reduction without continuous extra dimensions

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Language learning system

The invention discloses a language learning system. The system builds a language learning information base according to a language family-branch-language classification mode. The language learning base comprises a lexical library, a voice library, a syntax rule library and a characteristic library. A cognate language learning management sub system is built to manage information in the language learning information library in a browser/serve (B/S) mode, and corresponding or similar characteristic information in the lexical library, the voice library and the syntax rule library of the language learning information base is stored into the characteristic library of the language learning library. The cognate language learning management sub system comprises an intelligent inquiry module, a translation module, an analog dialogue module and a function conversion module, wherein the translation module has the simultaneous interpretation function. The cognate language learning management sub system can be connected with external equipment of a computer, a cellphone, an earphone, a microphone and the like. The language learning system achieves synchronous learning of various kinds of language in cognate language, provides the foreign language voice interaction communication function and can greatly improve foreign language learning efficiency.
Factors of Brand Image and Television Purchase in Kathmandu City

This study attempted to measure factors of brand image and television purchase in Kathmandu City. Descriptive and causal research design was used. Primary cross-section data were collected. Structured questionnaires were administered and 200 data were obtained. Judgmental sample technique was applied. Structural Equation Modeling (SEM) tool was used to validate the model and testing causal relationships among exogenous and endogenous constructs. It was found consumer experience and after sales service were the important factors for creating brand image in the television markets. Brand image influenced television buying behavior. But celebrity endorsement and country of origin had no influence on building brand image.
Knowledge Management in the Dark: The Role of Shadow IT in Practices in Manufacturing

The voluntary use of private devices by employees without the formal approval of the IT department, commonly termed Shadow IT, is an increasingly widespread phenomenon. In this article, the authors study the role of private smartphones (and related applications like WhatsApp) in knowledge-intensive practices in the manufacturing domain. With an in-depth case study based on data gained from observations and interviews, the authors are able to empirically illustrate why workers use their private smartphones (contrary to company guidelines) and how they find significant gains of productivity by using the forbidden applications. This study gives rich insights into the rise of Shadow IT in a manufacturing context which takes place in a self-organised way without knowledge of the management.
Eccentricity of Aortic Annulus and Distance of Origin of Left Main and Right Coronary Arteries from Adjacent Aortic Leaflets in Non-Stenotic Aortic Valves by TEE 3D Echocardiography

Background: It has been identified that aortic annulus (AA) is not completely round in normal and stenotic aortic valves and some studies invesigated the eccentricity of AA by some modalities. Aims: To compare size of aortic valve annulus in different views via transesophageal (TEE) 3D echocardiography in patients without aortic stenosis (AS). Method: 31 patients underwent TEE3D without AS. Full-volume of aortic valve was saved by TEE in short and long-axis views in single beat. AA was measured in 3 planes: two orthogonal lines in short-axis plane(D1 & D2), sagittal(D3) and coronal(D4)planes ,diameter of left ventricular outflow tract 5-10 mm below AA was measured in sagittal and coronal views (D5 and D6) . Area and perimeter of AA were measured in short-axis plane in hing points of aortic cusps and the annulus according to area and perimeter was calculated. These different AA sizes were compared. Distance of left main (LM) and right coronary arteries (RCA) from adjacent aortic leaflets and length of left coronary cusp were measured. All measurements were done in mid-systole. Results: From, 31 patients(51.5% F), age 50.61 ±10.78, median Left Ventricular Ejection Fraction (LVEF) was 55%. AA in sagittal is smaller than coronal view, mean difference=1.97mm, P=0.002. D1 is smaller than D3, D2 is not different with D4. D perimeter is larger than D area and D sagittal, mean difference=0.7 and 0.9mm respectively, P<0.05 and smaller than D coronal, mean difference is 1 mm. The difference between D area and D3 is not significant. D3 and D4 are not significantly different with D5 and D6. D perimeter is not different with mean D1&D2 and D3&D4.Mean distance of LM ostium and RCA from adjacent aortic leaflets is 14.2±2.97 and15.25±3.60 mm respectively. Mean length of left coronary cusp is 12.75±2.1 mm. Conclusion: AA is not completely round in non stenotic aortic valves and is larger in coronal than sagittal view, D perimeter is not different with mean annulus in sagittal and coronal views.
Multi-output DC-DC converters based on diode-clamped converters configuration: Topology and control strategy

This paper presents a new DC-DC Multi-Output Boost (MOB) converter which can share its total output between different series of output voltages for low and high power applications. This configuration can be utilised instead of several single output power supplies. This is a compatible topology for a diode-clamed inverter in the grid connection systems, where boosting low rectified output-voltage and series DC link capacitors is required. To verify the proposed topology, steady state and dynamic analysis of a MOB converter are examined. A simple control strategy has been proposed to demonstrate the performance of the proposed topology for a double-output boost converter. The topology and its control strategy can easily be extended to offer multiple outputs. Simulation and experimental results are presented to show the validity of the control strategy for the proposed converter.
Enhancing student employability : a New Zealand case study of cooperative education in sport

This paper provides an insight into two cooperative education courses offered as part of three-year degree programmes in sport and recreation. Based in Auckland New Zealand, Unitec and Auckland University of Technology have been found to exemplify effective cooperative education strategies that compare favourably with current research into good practice in this field. Using a case study approach, the paper first establishes the context within which the cooperative courses operate, and then describes specific aspects of the courses that enhance student employability. The placement process, supervision, learning outcomes, assessment of learning and employment and career pathways are discussed in turn. These aspects are related back to relevant research on good practice and used to illuminate how student employability is embedded within these courses and across the degree programmes. It is concluded that students who undertake cooperative education as part of their degree programme have a competitive advantage in the employment marketplace.
Wellness syndrome

INTRODUCTION: Wellness is a lifestyle choice based on the holistic approach to health. In this century, and during the last decade in particular, wellness centers and wellness procedures have become quite popular. And just like any trend, the one related to wellness may lead to extremes. In this specific case, the extremes are defined as a „wellness syndrome“ – an obsession with a healthy lifestyle. The maximization of the efforts to achieve wellness can turn against us and make us feel bad making us isolate ourselves from the rest. The wellness syndrome leads to a search for the perfect diet, turns us into corporate athletes, chasing our own selves and monitoring each aspect of our everyday life. This is a world where feeling well is indistinguishable from being well.