Miracle-dz/UniFAR-FTUs huggingface dataset:
CCSDS 131.2-B-1 Transmitter Design on FPGA with Adaptive Coding and Modulation Schemes for Satellite Communications

Satellite communications are a well-established research area in which the main innovation of last decade has been the use of multi-carrier modulations and more robust channel coding techniques. However, in recent years, novel advanced signal processing has started being developed for these communications due to the increase in the signal processing capacity of transmitters and receivers. Although signal processing capabilities are increasing, they are still constrained by large limitations because these techniques need to be implemented in real hardware, thus making complexity a matter of critical importance. Therefore, this paper presents the design and implementation of a transmitter with adaptable coding and modulation on a field-programmable-gate-array (FPGA). The main motivation came from the standard CCSDS 131.2-B-1 which recommends that such a novel transmitter which has to date not been implemented in a real system The system was modeled by MATLAB with the purpose of being programmed in VHDL following the AXI-stream protocol between components. Behavioral simulation results were obtained in VIVADO and compared with MATLAB for verification purposes. The transmitter logical circuit was synthesized in a FPGA Zynq Ultrascale RFSoC ZU28DR, showing low resource consumption and correct functioning, leading us to conclude that the deployment of new communication systems in state-of-the-art hardware in satellite communications is justified.
Types of Lexical Sets in Structural-Semantic, Cognitive-Discursive and Lexicographic Coverage: Dynamics of Interpretations

The dynamics of understanding lexical sets in theoretical and practical aspects over the past 50 years is provided, highlighting the main stages of their identification, study and interpretation features in the light of various scientific approaches: structural-semantic, functional-linguistic, cognitive-discourse, lexicographic, determining the system of principles of their identification, formation of the composition and description of the structural organization. The results of a multidimensional study of lexical sets of different types as an integral dynamic system, that have received multiple interpretations both in theoretical research and in ideographic dictionaries, are presented. The following types of sets are considered: lexical-semantic, functional-lexical, denotative-ideographic, semantic-syntactic, complex lexical-phraseological, synonymous-antonymic, conceptual-discursive. The research is carried out on the material of ideographic dictionaries created by lexicographers of the Ural Semantic School. Examples of descriptions of linguistic and speech sets with emotive semantics presented in a series of these dictionaries are used as illustrative material. The study showed that over half a century, lexical set theory has advanced significantly due to the situation of polyparadigmality in linguistics. It is noted that in such circumstances, different approaches to the study of sets of language and speech units were formed, the identification of fundamentally new semantic associations was substantiated, their typology was developed, the sources, factors and principles of their formation were characterized.
Workshop on Materials and Engineering in Aeronautics

Preface 2018 Workshop on Materials and Engineering in Aeronautics (MEA2018) was held 15-16 November 2018 in Moscow Aviation Institute (National Research University). It was patronized by Moscow Aviation Institute (National Research University). This Workshop was held 14 times from 2001 to 2017. Each was attended by over 20 participants who submitted their reports for publishing. The participants represented mostly the leading technical universities of Russia. The Scientific Committee hopes that the next year the international involvement would increase. The (MEA2018) Workshop Proceedings include only 26 papers but the scope is actually huge. It covers materials & structure development, pilot interface, aerodynamics, aircraft parameter identification, system theory, control, aircraft technical state monitoring, robots, statistical classification and decision-making. This time we also include papers dealing with new tools for developing aerospace and other high-tech industries. In the year 2018 the Scientific Committee’s confirms its traditional position not to limit the creativity of the participants. As a result all the papers are unlike one another and many of them contain original ideas and approaches. That is why our advice to a reader is not to judge the Proceedings by one or two papers but look through the most part of them. On behalf of the Workshop Scientific Committee the scientific editors of MEA2018 Proceedings: Evgeny V. Nikulchev, Dr., Professor of MIREA – Russian Technological University, nikulchev@mail.ru Oleg N. Korsun, Dr., Prof., Head of the laboratory, State Research Institute of Aviation Systems, marmottoduo@yandex.ru
Wireless D&F relay channels: time allocation strategies for cooperation and optimum operation

Transmission over the wireless medium is a challenge compared to its wired counterpart. Scarcity of spectrum, rapid degradation of signal power over distance, interference from neighboring nodes and random behavior of the channel are some of the difficulties with which a wireless system designer has to deal. Moreover, emerging wireless networks assume mobile users with limited or no infrastructure. Since its early application, relaying offered a practical solution to some of these challenges. Recently, interest on the relay channel is revived by the work on user-cooperative communications. Latest studies aim to re-employ the channel to serve modern wireless networks. In this work, the decode-and-forward (D&F) relay channel with half-duplex constraint on the relay is studied. Focus is on producing analytical results for the half-duplex D&F relay channel with more attention given to time allocation. First, an expression for the mutual information for the channel with arbitrary time allocation is developed. Introduction of the concept of conversion point explains some of the channel behavior and help in classifying the channel into suppressed and unsuppressed types. In the case of Rayleigh fading, cumulative distribution function (cdf) and probability density function (pdf) are evaluated for the mutual information. Consequently, expressions for average mutual information and outage probability are obtained. Optimal operation of the channel is investigated. Optimal time allocation for maximum mutual information and optimal time allocation for minimum total transmission time are worked out for the case of channel state information at transmitter (CSIT). Results revealed important duality between optimization problems. Results obtained are extended from a two-hop channel to any number of hops. Only sequential transmission is considered. A cooperative scheme is also developed based on the three-node relay channel. A two-user network is used as a prototype for a multi-user cooperative system. Based on the model assumed, an algorithm for partner selection is developed. Simulation results showed advantages of cooperation for individual users as well as the overall performance of the network.
Secure communications for critical infrastructure control systems

In March 2000, 1 million litres of raw sewage was released into the water system of Maroochy Shire on Queensland’s sunshine coast. This environmental disaster was caused by a disgruntled ex-contractor using a radio transmitter to illicitly access the electronically controlled pumps in the control system. In 2007 CNN screened video footage of an experimental attack against a electrical generator. The attack caused the generator to shake and smoke, visually showing the damage caused by cyber attack. These attacks highlight the importance of securing the control systems which our critical infrastructures depend on. This thesis addresses securing control systems, focusing on securing the communications for supervisory control and data acquisition (SCADA) systems. We review the architectures of SCADA systems and produce a list of the system constraints that relate to securing these systems. With these constraints in mind, we survey both the existing work in information and SCADA security, observing the need to investigate further the problem of secure communications for SCADA systems. We then present risk modelling techniques, and model the risk in a simple SCADA system, using the ISM, a software tool for modelling information security risk. In modelling the risk, we verify the hypothesis that securing the communications channel is an essential part of an effective security strategy for SCADA systems. After looking at risk modelling, and establishing the value of securing communications, we move on to key management for SCADA systems. Appropriate key management techniques are a crucial part of secure communications, and form an important part of the contributions made in this work. We present a key management protocol that has been designed to run under the constraints specific to SCADA systems. A reductionist security proof is developed for a simplified version of the protocol, showing it is secure in the Bellare Rogaway model.
APHIDS ON MEDICINAL AND AROMATIC PLANTS IN EGYPT (HEMIPTERA: APHIDIDAE)

Aphids are considered serious sap-sucking pests of several plants all over the world. Aphids on medicinal and aromatic plants in Egypt were surveyed throughout the period between 2013 and 2015. Nine aphid species belonging to six genera all represented sub-family Aphidinae were recorded on 26 medicinal and aromatic host plants from different localities in Egypt. Identification taxonomic key for the nine species was designed. Synonyms, historical review, host plants and distribution in Egypt for each aphid species were provided.
Learner satisfaction, engagement and performances in an online module: Implications for institutional e-learning policy

There has been much debate on the issue of whether online learning was better than traditional education and vice-versa over the past decade. Over time, the concept of blended learning became quite the norm, especially within traditional universities who could no longer turn a blind eye to the educational revolution brought about by information and communication technologies. While the pace of technology integration in universities generally varies in pace, the world has recently experienced a massive uptake, albeit in an unplanned and mostly disorganized manner, of e-learning technologies due to the Covid-19 pandemic. Researchers have emphasized on the quality of online courses from a perspective of learner achievement in terms of student satisfaction, engagement and performances. In this paper, we analyze student feedback and report the findings of a study of the relationships between student satisfaction and their engagement in an online course with their overall performances. The module was offered online to 844 university students in the first year across different disciplines, namely Engineering, Science, Humanities, Management and Agriculture. It was assessed mainly through continuous assessments and was designed using a learning-by-doing pedagogical approach. The focus was on the acquisition of new skills and competencies, and their application in authentic mini-projects throughout the module. Student feedback was coded and analyzed both from a quantitative and qualitative perspective. The association between satisfaction and engagement was significant and positively correlated. On the other hand, there was a weak but positive and significant correlation between satisfaction or engagement with their overall performances. We further observed that students were generally very satisfied with the learning design philosophy, irrespective of their performance levels. Students, however, reported issues related to lack of tutor support and experiencing technical difficulties across groups. The findings raise important implications for institutional e-learning policy making. The factors that are important relate to the object of such policies, learning design models, personalized support, distributed virtual learning through synchronous interaction, and learning analytics.
Tactical design of production-distribution networks : safety stocks, shipment consolidation and production planning

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Transient Vision Restoration Training Using a Unique Virtual Reality Platform in Glaucoma

Background To evaluate the efficacy of transient vision restoration training (tVRT) with an augmented virtual reality platform in glaucoma patients. Design: A self-control, prospective study. Methods This study recruited subjects with glaucoma. All participants were treated with tVRT which based on an augmented virtual reality platform for 20 minutes. The intraocular pressure (IOP), the best-corrected visual acuity (BCVA), global mean defect (MD) values, global indices mean sensitivity (MS) were evaluated and compared before and after treatment. Results While the IOP and BCVA after tVRT did not change obviously compared to baseline. However, the global MD significantly reduced, consistently the global MS changed better in the treated patients. Conclusions The glaucomatous optic neuropathy remains potentially neuroplasticity. And the training based on an augmented virtual reality platform may have a positive impact on vision restoration.
The Influence Of Organizational Communication Towards Work Motivation At Bappelitbangda Office Of Luwu Regency

This study was intended to measure the effect of the Work Communication variable on Employee Performance at BAPPELITBANGDA Office of Luwu Regency. Organizational communication variables have an influence on employee performance. This research applied quantitative methods using simple regression. Respondents used as samples in this study were 63 people using probability sampling as a method of sampling. The research instrument used to process data in this study was SPSS 21. The results of testing using the application SPSS 21 indicate that the variables in this study, namely organizational communication significantly affect the variable of work motivation. This result shows significance value of 0,000. The results of the coefficient of determination indicate that organizational communication vaeribal influence the work motivation variable by 40.2%. Based on the previous results, it can be concluded that communication skills in organizing have a very good category. For employee work motivation variables included in the high category. There are some things that need serious attention in conveying communication such as the delivery of information with other intermediaries and the ability to work done by employees.
Corporate Bankruptcy: Tools, Strategies, and Alternatives

Preface. Chapter 1. Introduction. Chapter 2. Selection of Alternative and Prebankruptcy Planning. Chapter 3. Impact of Bankruptcy Filing. Chapter 4. Administration of the Case. Chapter 5. Claims. Chapter 6. Recovery of Property. Chapter 7. Liquidation and Discharge of Claims. Chapter 8. Business Valuation. Chapter 9. Chapter 11 Reorganization: Part 1. Chapter 10. Chapter 11 Reorganization: Part 2. Chapter 11. Accounting and Reporting Issues. Chapter 12. Retention and Compensation of Professionals. Index.
Effect of early moisture deficit on growth, development and yield in high retention Bt cotton

The release of Bt cotton (Bollgard II®) varieties can provide increased insect protection compared with non-Bt varieties with similar gene backgrounds, leading to increased early boll load due to higher fruit retention. The earlier and higher sink demand on a smaller plant may lead to early cut-out and lower yields of Bollgard II cotton compared with the equivalent non-Bollgard II conventionally managed varieties. While the effect of water stress in cotton have been studied by numerous researchers, it is unclear whether manipulation of water management prior to flowering can increase the vegetative biomass for enhanced provision of assimilates for the development and maturation of the early bolls and maximizing the yield potential of Bollgard II varieties. Traditionally early irrigation management (pre squaring) is less in non-Bollgard II crops as early fruit loss is often encountered and there is less demands on the crop thus limiting stress. Two experiments with the Bollgard II variety Sicot 71BR were conducted at the University of Queensland, Gatton Campus, southeast Queensland to study biomass accumulation and partitioning during vegetative stage until flowering and its effect on reproductive growth under different levels of available water: including well irrigated (WI) over the whole crop season, water stress until squaring (WSS) followed by full irrigation and water stress until flowering (WSF) followed by full irrigation until the end of season. Two methods were used to create the water stress treatments: rainout shelters Experiment 1 and plastic cover of inter-row space in Experiment 2. Plastic was removed when the treatments finished allowing full irrigation to commence. Soil water was monitored frequently to maintain the irrigation treatments. Leaf area index, vegetative and reproductive biomass, retention of bolls were found to increase in well watered treatments. WSF and WSS treatments also reduced the time to cut-out and maturity and produced less seed cotton. The results indicate the earlier irrigation management in Bollgard II cotton can increase early vegetative growth to support greater fruit retention and growth of bolls leading to improved yields.
the-impact-of-implementing-wmtac-towards-anticoagulation-treatment-in-dungun-hospital

Objective: The main objective of this study is to compare patients’ outcome in anticoagulation treatment before and after Warfarin Medication Therapy Adherence Clinic (WMTAC). The study compares the cost of INR test between usual care (UC) and WMTAC. The study also determines factors affecting International Normalized Ratio (INR) level among WMTAC patients. Methods: A retrospective study involving WMTAC patients was conducted by trained pharmacists at Dungun Hospital. Patients were reviewed by UC for 4 months and continuously followed up by WMTAC for another 4 months were included in this study. Patients who passed away, transferred out and defaulted were excluded from the study. The data were derived from Patient Medical Record and recorded in Warfarin Data Collection Form for analyze. Results: The time in therapeutic range (TTR) was 73.46% for WMTAC and 45.58% for UC (p<0.001). The expanded TTR for WMTAC was 90.37% and 61.88% for UC (p<0.001). The percentage of time INR level <1.5 were 0.57% for WMTAC patients and 7.92% for UC patients, while 5.28% UC patients had INR level > 5. The total reagent costs of INR test were MYR 341.04 for WMTAC and MYR 519.40 for UC. The known factors affecting INR level in WMTAC patients were diet (55%), missed dose (36%) and drug interaction (9%). Conclusion: According to this study, the WMTAC implementation significantly improved anticoagulation treatment. Besides that, it also beneficial for our reagent cost expenses.
Reliable Software Updates for On-orbit CubeSat Satellites

CubeSat satellites have redefined the standard solution for conducting missions in space due to their unique form factor and cost. The harsh environment of space necessitates examining features that improve satellite robustness and ultimately extend lifetime, which is typical and vital for mission success. The CubeSat development team at Cal Poly, PolySat, has recently redefined its standard avionics platform to support more complex mission capabilities with this robustness in mind. A significant addition was the integration of the Linux operating system, which provides the flexibility to develop much more elaborate protection mechanisms within software, such as support for remote on-orbit software updates. This thesis details the design and development of such a feature-set with critical software recovery and multiple-mission single-CubeSat functionality in mind. As a result, features that focus on software update usability, validation, system recovery, upset tolerance, and extensibility have been developed. These include backup Linux kernel and file system image availability, image validation prior to boot, and the use of multiple file system devices to protect against system upsets. Furthermore, each feature has been designed for usability on current and future missions.
An infrared video detection and categorization system based on machine learning

: The main aim of this paper is to present a new possibility for detection and recognition of different categories of electric and conventional (equipped with combustion engine) vehicles. These possibilities are provided by use of thermal and visual video cameras and two methods of machine learning. The used methods are Haar cascade classifier and convolutional neural network (CNN). The thermal images, obtained through an infrared thermography camera, were used for the training database. The thermal cameras can complement or substitute visible spectrum of video cameras and other conventional sensors and provide detailed recognition and classification data needed for vehicle type recognition. The first listed method was used as an object detector and serves for the localization of the vehicle on the road without any further classification. The second method was trained for vehicle recognition on the thermal image database and classifies a localized object according to one of the defined categories. The results confirmed that it is possible to use infrared thermography for vehicle drive categorization according to the thermal features of vehicle exteriors together with methods of machine learning for vehicle type recognition.
Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review

Digital pathology is gaining prominence among the researchers with developments in advanced imaging modalities and new technologies. Generative adversarial networks (GANs) are a recent development in the field of artificial intelligence and since their inception, have boosted considerable interest in digital pathology. GANs and their extensions have opened several ways to tackle many challenging histopathological image processing problems such as color normalization, virtual staining, ink removal, image enhancement, automatic feature extraction, segmentation of nuclei, domain adaptation and data augmentation. This paper reviews recent advances in histopathological image processing using GANs with special emphasis on the future perspectives related to the use of such a technique. The papers included in this review were retrieved by conducting a keyword search on Google Scholar and manually selecting the papers on the subject of H&E stained digital pathology images for histopathological image processing. In the first part, we describe recent literature that use GANs in various image preprocessing tasks such as stain normalization, virtual staining, image enhancement, ink removal, and data augmentation. In the second part, we describe literature that use GANs for image analysis, such as nuclei detection, segmentation, and feature extraction. This review illustrates the role of GANs in digital pathology with the objective to trigger new research on the application of generative models in future research in digital pathology informatics.