Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconstructing Autoencoders

For Figure 5, we select the first 100 images of digit 8 from 50000 training data in the original MNIST dataset and rotate by 3.6 degrees 100 times to generate a new 10000 training data. For Figure 6, we use the entire 50000 training data for training. For the rotated MNIST of digit 3 in Figure 8, we select the first image of digit 3 from the original MNIST dataset and rotate by 9 degrees 20 times to generate a new 20 training data. For the shifted MNIST of digit 7 in Figure 8, we select the first image of digit 7 from the original MNIST dataset and transform with scale 0.8 and shift range [-10,10] to generate 20 training data. For Figure 9, we select the first image of digit 6 from the original MNIST dataset and rotate by 9 degrees 20 times to generate a new 20 training data. For Figure 10, we use the 1000,2000,. ,10000 training data selected from the training dataset, 10000 validation data, and 50000 test data.
The Technologies of 5G: Opportunities, Applications and Challenges

5G which stands for 5 Generation Mobile technology, is a groundbreaking technology that the world now witnesses in mobile telecommunications and which has proven to be twenty or more times faster than the existing 4G technology. New standard releases beyond 4G are already in progress by standardization bodies, but at this time implementation and rollout of systems compliant with 5G is still under way in some parts of the world. The goals of a 5G-based telecommunications network would ideally answer the challenges that a 4G model would present once it has entered widespread use. The innovative features of 5G in many ways can be employed to support governments, established companies, new ideas, business models and services that require continuous connections between multiple parties that may include enterprises, telecom providers, mobile operators, government regulators, infrastructure providers and much more. This research highlighted the idea behind 5G technologies, its interconnections with smart objects of Internet of things (IoT) as well as offerings it has gained from others like Blockchain technology. The design for system model of network architecture for 5G mobile systems is described including creating IP tunnels over IP interfaces obtained by connection to the terminal via the access technologies available to the terminal (i.e., mobile user). The economic impact and the contributions of 5G technology is vigorously highlighted while some of the challenges that is faced in designing, deploying and managing the technology is also probed.
Active-Adaptive Control of Acoustic Resonances in Supersonic Impinging Jets (invited)

Fluid-flows exhibit pronounced acoustic resonances when a jet emerges from an orifice and impinges on an edge. This paper looks at one such problem, which consists of pressure oscillations of a supersonic jet issuing from a Mach 1.5 nozzle and impinging on a ground plane. Reliable and uniform reduction of these impingement tones over a range of operating conditions are mandated by performance considerations of lift-loss, acoustic fatigue of nearby structures and ground erosion. Prior work has clearly shown that microjets located at the jet nozzle serve as effective actuators for the control of impingement tones. In this paper, we present the results of an adaptive closed-loop control strategy using the microjets. A reduced-order model of the impingement tones that captures some of the dominant features of the flow-field is presented. A model-based control strategy based on the Proper Orthogonal Decomposition (POD) of the pressure distribution along the azimuthal direction is presented. This control methodology is in turn shown to improve the pressure reduction of the Overall Sound Pressure Levels (OASPL) by an additional 8-10db, compared to an open-loop control, at the desired operating conditions.
Sliced Inverse Regression (SIR) via group lasso

In this paper the authors propose a group-lasso for sliced inverse regression (group lasso-SIR). This proposed method can deal with the problem of correlation existence between predictor variables. Simulation is used to investigate the performance of proposed method comparing with ridge and lasso in sliced inverse regression (lasso-SIR). The results show that the group lasso-SIR method is performs well comparing with other methods depending on Mean Square Errors (MSE) criterion.
The Design of "Living" Biomech Machines: How low can one go?

Following three years of study into experimental Nervous Net (Nv) control devices, various successes and several amusing failures have implied some general principles on the nature of capable control systems for autonomous machines and perhaps, we conjecture, ven biological organisms. These systems are minimal, elegant, and, depending upon their implementation in a "creature" structure, astonishingly robust. Their only problem seems to be that as they are collections of non-linear asynchronous elements, only a very complex analysis can adequately extract and explain the emergent competency of their peration. On the other hand, this could imply a cheap, self-programing engineering technology for autonomous machines capable of performing unattended work for years at a time, on earth and in space. Discussion, background and examples are given. Introduction to Biomorphic Design The Design of "Living" Biomech Machines: How low can one go? A Biomorphic robot (from the Greek for "of a living form") is a self-contained mechanical device fashioned on the assumption that chaotic reaction, not predictive forward modeling, is appropriate and sufficient for sustained "survival" in unspecified and unstructured environments. On the further assumption that minimal, elegant survival devices can be "evolved" from lesser to greater capabilities using silicon instead of carbon (using the roboticist as the evolutionary force of change), over two hundred different "biomech" robots have been built and studied using solar power, motors, and minimal Nervous-Net control technology. A range of such creatures is shown in Figure 1.
SMART METER PRIVACY WITH RENEWABLE ENERGY BASED WIRELESS POWER TRANSFER USING LoRa

Smart Meters play a vital role in measuring energy consumed by every user with their device details. The inside attacker i.e the tenants staying at home may be able to access the electricity price information, network infrastructure information, and other information communicated through protocols. We proposed a renewable energy based wireless power transfer smart billing system using Internet of Things (IOT) with android application for Electricity Bill (EB) payment. The devices used in my project are LoRa (Long Range), PIC control and Meter box. By implementing we measure the current consumption in every home using LoRa and then transfer those meter values to the electricity board server. The total amount will be calculated on EB server and thus the notification is sent through the SMS. User can pay their bill amounts using mobile application and the users are also notified with an alert message when the usage of power consumption exceeds the premium limit. The meter readings can be viewed from distant places by using this LoRa technology. LoRa enables long-range transmissions (more than 10 km in rural areas) with low power consumption. Also a solar panel is placed at the roof top of the house which converts the sun’s rays into electricty. This electricity can then be used to supply renewable energy to your home or business. Hence this acts as an inverter at the time of power shut down. To make the system even more comfortable Wireless power transfer (WPT) systems are also used in my project this allows power to be transferred from one electrical network to another without the need for wires or exposed contacts. For a large number of diverse applications, this feature is highly advantageous, and in certain cases has enabled new applications to be realized. Further, WPT is poised to play a vital role in the worldwide drive to electrify transportation systems and, thus, become ubiquitous throughout technologically advanced future societies. Hence Power can be transferred over short distances (near-field transfer) by the method of WPT. similarly power theft is also detected. With the advent of smart meters, the frequency of collecting household energy consumption data has increased, making it possible for advanced data analysis, which was not possible earlier.
Performance Management in Tax Administration: A Holistic Model for Malaysian Tax Authorities

This paper has developed a holistic model for performance management in tax administration. To achieve this aim, the literature on performance management practice as well as performance management models were reviewed and analysed. Tax administration cannot perform efficiently and effectively without understanding performance management elements which include performance and governance evaluations. The performance management elements should also involve both internal and external stakeholders. The model in this paper is aimed at improving performance management in tax administration for Malaysian tax authorities
Online Map Matching Based on Higher-Order Hidden Markov Model

: Map matching is a key pre-process of trajectory data which recently have become a major data source for various transport applications and location-based services. In this paper, an online map matching algorithm based on higher-order hidden Markov model (HMM) is proposed for processing trajectory data in complex urban road network environment such as parallel road segments and various road intersections. Various factors such as driver's travel preference, network topology, road level and vehicle heading are considered. An extended Viterbi algorithm is developed to solve the map matching problem efficiently, and a self-adaptive sliding window mechanism is proposed to adjust window size on a real time basis. To demonstrate the effectiveness of the proposed algorithm, a case study is carried out using a massive taxi trajectory dataset in Nanjing, China. Case study results show that the proposed algorithm outperforms state-of-the-art algorithms built on the first-order HMM in various testing environment.
An Eﬃcient Heuristic for Orienteering with Categories

We present an eﬃcient heuristic for the Orienteering Problem (OP) using the example of a tourism application. Our system recommends custom-tailored itineraries based on the tourists’ preferences and time constraints, guiding them from a starting point to a destination point and visiting a series of Points of Interest (POIs) in between. This problem is generally known to be NP-hard and therefore no algorithm to compute an optimal solution eﬃciently is likely to be found. In order to recommend suﬃciently interesting itineraries we generalize the Orien-teering Problem by assigning each POI to a category, thus obtaining the Orienteering Problem with Maximum Point Categories (OPMPC) . Travelers deﬁne which categories they like and how many POIs they would like to visit at most for each of those categories. They beneﬁt from this approach because they can easily pick those types of POIs that are important to them, say museums, while quickly sorting uninteresting POIs out. We ﬁrst show, that OPMPC exposes a natural diminishing returns property, called submodularity . This concept has lately found wide application in the area of optimization algorithms. Based on the submodularity of our problem we present our heuristic algorithm, discuss its strengths but also its weaknesses. The algorithm was implemented and thoroughly evaluated, benchmarks show that the approach taken is promising and the proposed itineraries are in the most cases close to optimal.
defovir Dipivoxil Alone or in Combination With Lamivudine in atients With Lamivudine-Resistant Chronic Hepatitis B

ARION G. PETERS,* H. W. HANN,‡ PAUL MARTIN,§ E. JENNY HEATHCOTE, P. BUGGISCH,¶ . RUBIN,# M. BOURLIERE,** K. KOWDLEY,‡‡ C. TREPO,§§ D. F. GRAY,¶¶ M. SULLIVAN, . KLEBER, R. EBRAHIMI, S. XIONG, and CAROL L. BROSGART, OR THE GS-00-461 STUDY GROUP Division of Gastroenterology, University of California, San Francisco, San Francisco, California; ‡Jefferson Medical College, Philadelphia, ennsylvania; §Cedars-Sinai Medical Center, Los Angeles, California; Toronto Western Hospital, Toronto, Ontario, Canada; Universitaetsklinikum Eppendorf, Hamburg, Germany; #Digestive Healthcare of Georgia, Atlanta, Georgia; **Hopital Saint Joseph, Marseille, rance; ‡‡University of Washington Hepatology Center, Seattle, Washington; §§Hopital Hôtel Dieu, Lyon, France; ¶¶GlaxoSmithKline, reenford, Middlesex, England; and Gilead Sciences, Inc., Foster City, California
Evaluate the Efficiency of Sage (Salvia Officinalis) and Curcumin Mouthwash in the Treatment of Recurrent Aphthous Stomatitis ( Comparative Study)

Recurrent Aphthous Stomatitis (RAS) is a common oral disorder that the clear etiology is un known. These ulcers are painful and caused serious complications in eating, talking and swallowing that make an individual requires treatment to relieve these symptoms. Corticosteroids and analgesics considered the first choice for RAS patients. Some of these drugs lead to many complications; so many therapies have been tried to find alternative modalities. Natural herbs and plants gain global interest due to their distinct properties, recently they are directed to be employed in medicine and dental care. Sage (Salvia officinalis) and curcumin are among the most prominent herbal substances that have been used in medicine and dentistry. The present study was carried out to evaluate the efficacy of a mouthwash containing Sage (Salvia officinalis) with curcumin extracts as natural herbal medicine in treating recurrent aphthous stomatitis (RAS). Method: The study was carried for the period of (November 2019-January 2020), where 74 patients visited a consultant educational clinic of Al-Mustansiriyah University, Collage of Dentistry complaining of minor oral ulcers. A special questionnaire was designed for the purpose of data collection. Criteria in this study include the evaluation of ulcer size, remission of pain, and time needed for complete healing. Two study groups were included, the first group uses Sage mouthwash and second group curcumin mouth wash, both groups rinse for 1 minute five times for five days, the comparisons were based on the results of statistical analysis conducted by SPSS.Results: Through statistical comparison between the two studied groups, the pain mean of apthous ulcer in the second visit was 3.93±1.52 sage group that is less than the pain mean in the curcumin group 4.73±1.2, and it was significant as for the third visit. Decrease in the pain mean of the sage group compared with the curcumin group 0.81±1.09 and 2.77±1.59 respectively, highly significant difference between the two groups (( t=-6.257,P=0.000). The mean of healing duration was5.32± 1.65 in the sage group, while in the curcumin group was 4.56 ± 1.20, there was a significant difference between the two studied groups. (t=-2.010,P = 0.048) . Conclusion: Herbal medicine can be acknowledged as a promising therapy. There is some confirmation of the potential utilization of the natural herbal medicines according to improved RAS outcome measures. Recommendation: More studies should be conducted with promising natural herbs which deals with more benefits and achievements in the dental field.
A Review on Color Vision Deficiency

Color vision deficiency (CVD) is characterized by the inability or decreased ability in perception of some specific colors. CVD is further divisible into several types, of which red-green color vision defects are the most common whereas blue-yellow color vision defect is rarer. These kinds of CVDs interrupt color perception but do not impinge on the sharpness of vision. CVD may be X-linked recessive or an autosomal dominant or very rarely an autosomal recessive trait associated with X chromosome or chromosome 7 or 2 or 8 or 10. CVD in a subject is detected and its severity is analyzed by means of several tests, viz, Ishihara Pseudochromatic Test, Lantern Test and Anomaloscope test. The prevalence of CVD varies worldwide and some parts of the world show considerable prevalence. It is very important to identify CVD affected individuals, mild or severe, at an early age by proper counseling in order to guide them in selection of the suitable career path. Few countries have initiated awareness and counseling program for CVD affected individuals, however it is imperative for all countries to take necessary steps in this regard.
Estimation of the pan evaporation coefficient in cold and dry climate conditions via the M5 regression tree model

In this study, class A pan coefficient (Kp) values were simulated via the M5 tree model, by using daily meteorological data of four stations in the East Azerbaijan province, which has arid and cold climate in the northwest of Iran. Firstly, the FAO-24 and FAO-56 methods, which are commonly used to calculate Kp values, were taken into consideration in the study. The Kp values calculated in the second stage were assumed to be observed values and were taken as the outputs of the M5 model. Four different training datasets consisting of 66, 70, 75 and 80% of the original data were tested. The best results were obtained when 70% of the data was used for training and 30% for testing. Results indicated that a Kp value was easily simulated with simple linear equations with high accuracy rate (R2 = 0.99) in all the stations. Furthermore, the Kp value was easily simulated using only two meteorological variables (relative humidity and wind speed), without the need for complex tables and equations. The most important finding of this study was the easy estimation of the Kp with a number of linear functions obtained from the M5 model; as a result, the simulated Kp can help us to calculate evapotranspiration accurately for more effective irrigation planning. The proposed method offers advantages as it is simpler and easier than the existing approaches in the literature.
DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing

Complex event processing (CEP) is employed to detect user-specified patterns of events in data streams. CEP mechanisms operate by maintaining all sets of events that can potentially be composed into a pattern match. This approach can be wasteful when many of the sets do not participate in an actual match and are therefore discarded. We present DLACEP, a novel framework that fuses deep learning with CEP to efficiently extract complex pattern matches from streams. To the best of our knowledge, this is the first time deep learning is employed to detect events constituting a pattern match in the realm of CEP. To assess our approach, we performed extensive empirical testing on various scenarios with both real-world and synthetic data. We showcase examples in which our method achieves an increase in throughput of up to three orders of magnitude compared to solely employing CEP, while only suffering a minor loss in the number of detected matches.
Discovering Related Terms on a large Solr Document Database

The search for documents and information represents the main activity for researchers or ordinary users of a library, especially if it is easily accessible with any Internet-connected device. Nowadays, the amount of these particular virtual libraries, without shelves and librarians, is increasing due to the digitalization of paper content. The responsibility of finding a specific books, however, is left to the individual user, that knowing where to look, it is not necessarily aware of what and how to obtain the desired information. In our region, thanks to the project Teßmann Digital , you can now search among more than two million pages of historical documents of South Tyrol, including books, newspapers and prints. This thesis will consider a solution, in the framework of the Teßmann Portal, to enhance the experience of the researcher dealing with such a large archive. Specifically, I analyzed the discovery of related terms, terms in relevance to a given search term in the corpus of documents, which will be used to provide new search possibilities to the user. The final solution integrates in
Structural study of the chromodomain superfamily

Chromodomains are a superfamily of protein domains that are implicated in the modulation of chromatin structures. The chromodomain superfamily can be subdivided into two subfamilies, chromodomains and chromo shadow domains. Chromodomains function to localise proteins to specific sites on chromatin. An NMR structure of a chromodomain has been previously solved. Chromo shadow domains are protein-protein interaction domains. These recruit other chromatin associated proteins to their sites of action. The two domains have sequence similarities and are likely to have similar structures. The basis for their functional divergence is not known. In the present study, an X-ray structure of the chromo shadow domain of fission yeast Swi6 protein was solved to 1.9A. The structure reveals that the chromo shadow domain is a dimer with monomers closely resembling the chromodomain structure. Dimerisation of the chromo shadow domains creates a cleft that is commensurate with peptide binding. Binding studies were carried out to further investigate chromo shadow domain function. Recently, proteins of the Drosophila dosage compensation complex were found to contain divergent chromodomain-like domains. These domains have been noted to have RNA binding properties. Preliminary structural studies were carried out to determine if these domains shared a common fold with chromodomains and chromo shadow domains.