Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

In the commercial aviation domain, there are a large number of documents, like accident reports of NTSB and ASRS, and regulatory directives ADs. There is a need for a system to efficiently access these diverse repositories to serve the demands of the aviation industry, such as maintenance, compliance, and safety. In this paper, we propose a Knowledge Graph (KG) guided Deep Learning (DL) based Question Answering (QA) system to cater to these requirements. We construct a KG from aircraft accident reports and contribute this resource to the community of researchers. The efficacy of this resource is tested and proved by the proposed QA system. Questions in Natural Language are converted into SPARQL (the interface language of the RDF graph database) queries and are answered from the KG. On the DL side, we examine two different QA models, BERT-QA and GPT3-QA, covering the two paradigms of answer formulation in QA. We evaluate our system on a set of handcrafted queries curated from the accident reports. Our hybrid KG + DL QA system, KGQA + BERT-QA, achieves 7% and 40.3% increase in accuracy over KGQA and BERT-QA systems respectively. Similarly, the other combined system, KGQA + GPT3-QA, achieves 29.3% and 9.3% increase in accuracy over KGQA and GPT3-QA systems respectively. Thus, we infer that the combination of KG and DL is better than either KG or DL individually for QA, at least in our chosen domain.
Efficient Modulation for BandLimited Channels

This paper attempts to present a comprehensive tutorial survey of the development of efficient modulation techniques for band-limited channels, such as telephone channels. After a history of advances in commercial high-speed modems and a discussion of theoretical limits, it reviews efforts to optimize two-dimensional signal constellations and presents further elaborations of uncoded modulation. Its principal emphasis, however, is on coded modulation techniques, in which there is an explosion of current interest, both for research and for practical application. Both block-coded and trellis-coded modulation are covered, in a common framework. A few new techniques are presented.
M ETA -FAVAE: T OWARD F AST AND D IVERSE F EW - SHOT I MAGE G ENERATION VIA M ETA -L EARNING AND F EEDBACK A UGMENTED A DVERSARIAL VAE

Learning to synthesis realistic images of new categories based on just one or a few examples is a challenge task for deep generative models, which usually require to train with a large amount of data. In this work, we propose a data efﬁcient meta-learning framework for fast adapting to few-shot image generation task with an adversarial variational auto-encoder and feedback augmentation strategy. By training the model as a meta-learner, our method can adapt faster to the new task with signiﬁcant reduction of model parameters. We designed a novel feedback augmented adversarial variational auto-encoder. This model learns to synthesize new samples for an unseen category just by seeing few examples from it and the generated interpolated samples are then used in feedback loop to expand the inputs for encoder to train the model, which can effectively increase the diversity of decoder output and prevent the model collapse. Additionally, this method can also generalize to adapt to more complex color image generation tasks
Mathematik für das Ingenieurstudium

MATHEMATIK FüR DAS INGENIEURSTUDIUM This site isn`t the same as a solution manual you buy in a book store or download off the web. Our Over 40000 manuals and Ebooks is the reason why customers keep coming back. If you need a mathematik für das ingenieurstudium, you can download them in pdf format from our website. Basic file format that can be downloaded and read on numerous devices. You can revise this using your PC, MAC, tablet, eBook reader or smartphone.
Bone Marrow MSC Secretome Increases Equine Articular Chondrocyte Collagen Accumulation and Their Migratory Capacities

Equine osteoarthritis (OA) leads to cartilage degradation with impaired animal well-being, premature cessation of sport activity, and financial losses. Mesenchymal stem cell (MSC)-based therapies are promising for cartilage repair, but face limitations inherent to the cell itself. Soluble mediators and extracellular vesicles (EVs) secreted by MSCs are the alternatives to overcome those limitations while preserving MSC restorative properties. The effect of equine bone marrow MSC secretome on equine articular chondrocytes (eACs) was analyzed with indirect co-culture and/or MSC-conditioned media (CM). The expression of healthy cartilage/OA and proliferation markers was evaluated in eACs (monolayers or organoids). In vitro repair experiments with MSC-CM were made to evaluate the proliferation and migration of eACs. The presence of nanosized EVs in MSC-CM was appraised with nanoparticle tracking assay and transmission electron microscopy. Our results demonstrated that the MSC secretome influences eAC phenotype by increasing cartilage functionality markers and cell migration in a greater way than MSCs, which could delay OA final outcomes. This study makes acellular therapy an appealing strategy to improve equine OA treatments. However, the MSC secretome contains a wide variety of soluble mediators and small EVs, such as exosomes, and further investigation must be performed to understand the mechanisms occurring behind these promising effects.
INTEGRATED LYMPHATIC FILARIASIS ELIMINATION PROGRAM: PARASITOLOGICAL STUDIES AND FEASIBLE ELIMINATION PLAN IN MENSHIAT AL QANATER DISTRICT, GIZA GOVERNORATE, EGYPT

Elephantiasis due to Lymphatic filariasis (LF) is one of the major causes of deformity and dis-ability, known in Egypt since ancient times. In 2016, a new lf focus was discovered in Atris village, Menshiat Al Qanater District, Giza Governorate which was not included in NLFEP. This work studied parasitological status in three villages in Menshiat Al Qanater; Atris, Kafr Abu Elhadid and Bani-Salama to plan a feasible elimination program. Cross-sectional parasitological surveys were conducted from October 2017 to the end 2018 by visiting 10% of randomly selected houses. Finger prick blood samples were taken around midnight for thick blood films to detect the microfilarae. The results revealed that the overall prevalence of microfilaraemia was (0.6 %) in Menshiat Al Qanater district where 31 positive cases for MF out of 5568 examined persons. All cases were from two villages; Atris (21 cases), Kafr Abu Elhadid villages (10 cases), and none found in Bani-Salama village. The planning an appropriate integrated vector management (IVM) LF program for Atris & Kafr Abu Elhadid were in altering the drug used in MDA to the triple drug regimen, vector management, and health promotion.
A study of the different relations between disruptive events and human factors and their effects on maintenance performance

Understanding the factors that affect the quality of maintenance tasks is critical to ensure an effective maintenance program. In this paper, we present a comprehensive framework to evaluate de impact of human and environmental/managerial factors on inspection quality, specifically regarding the probability of defect induction by this kind of activity that usually has solely informative purposes. We discuss the influence of Disruptive External Events (DEEs) on the probability of human error. A DEE can disrupt appropriate conditions for performing inspection tasks, making maintenance staff more subject to errors that can result in defect induction. We present a delay-time based mathematical model for an inspection-maintenance policy applied to a non-repairable single-component technical system, incorporating to the model a probability of defect induction at inspections that may vary according to parameters related to DEEs and human reliability. We investigate how likely a defect induction can be depending on the capacity of the team to recover proper conditions to more reliable inspections. An important finding concerning the induction of defects calls attention to the need to invest in more appropriate conditions to carry out interventions on the system. The results obtained highlight the importance of a deeper investigation integrating technical aspects of the systems with relevant subjects from areas related to human behavior and social sciences.
Selbstorganisierende neuronale Karten zur multivariaten Prozessanalyse

This paper describes a non-linear generally valid method for the analysis and diagnosis of complex multi-dimensional process conditions and procedures in the power station field on the basis of so-called Self-organising reference cards. A new form of visualisation and analysis which is understandable and interpretible intuitively, is being introduced for this comprehensive evaluation. The procedure can be applied both for steady-state and also for dynamic processes. Following a brief introduction of the theory of self-organising reference cards, the paper describes, as an example, an application involving the study of transient processes in a power station boiler.
Representando Ambientes Educacionais de Hiperm´ idia Adaptativa atrav´ es de Ontologias

In the traditional educational environments, students with different goals and knowledge are provided with the same static learning material. The Adaptive Hypermedia makes these environments able to adapt themselves to the needs of each student, increasing learning speed and quality. However, the de- velopment of educational environments is a complex and slow task, because this kind of system is generally built from the scratch. This paper proposes the cre- ation of ontologies that formally represent Adaptive Hypermedia Educational Systems. 1. Introduc ¸ ˜ ao Ambientes educacionais geralmente possuem um grande numero de usuarios, e cada um deles tem seus proprios objetivos, interesses e estilo de aprendizado. Porem, mesmo diante de tamanha diversidade, os tradicionais ambientes proveem a todos os estudantes os mesmos materiais de ensino estaticos.
The impact of developing logistic performance on the development of Egyptian total and agricultural exports

The interest and development of logistics services have become the focus of attention of most economies in the world over the past decades. This is what called for Egypt's need to pay attention with the level of its logistical performance and relying on it as an effective solution towards the development of exports within it. Therefore, the study takes its importance by identifying the extent of the reflection of the development of logistical performance on the development of total and agricultural exports through the application to the COMESA agreement using the gravity model. The results showed that the most important factors affecting the total of Egyptian exports to the COMESA countries. It is represented in the gross domestic product of the importing country, the commercial openness to Egypt, the participation in the land borders, the per capita GDP of importing countries, in addition to the adverse effect of the geographical distance. The performance index of logistics services increases in Egypt with an increase in the GDP of Egypt.
Research on wireless networking mode for the distributed satellite communication system

Numerous space exploration missions for Earth System Monitoring need distributed small satellites to be deployed in the low Earth orbit according to a specific position, posture, which realize large-scale synchronous collection of multipoint data to obtain better results. These satellites flying in close formations would collaboratively achieve the mission aims at lower costs and with enhanced reliability compared to larger single platform missions. One of the key technologies to the success of such missions is the reliable inter-satellite links (ISLs). Although many protocols are designed to apply in the inter-satellite communication, they are for a specific communication layer and there has been little work done in the whole protocol stack design. To improve the performance of the distributed satellite communication (DSC) system, a network architecture is therefore proposed to supports satellite communication with the multi-hop ad hoc paradigm. The architecture incorporates the enhanced IEEE 802.11 protocol and a proactive routing protocol with the timely formation status. In contrast to the huge amount of work on IEEE 802.11 for ISLs, there are few studies on the relationship between bit error rate in the physical layer and packet size in the application layer. This leads us to establish a whole network in the NS3 simulator which supports wireless communication natively. In this paper we compare two models of distributed satellite formations which provide the metrics matrix of the routes in the DSC system. Finally, simulation results are presented to demonstrate the performance of the proposed network architecture for the distributed satellite communication system. ©, 2015, Binary Information Press. All right reserved.
A Review on the Possibilities and Challenges of Today's Soil and Soil Surface Assessment Techniques in the Context of Process-Based Soil Erosion Models

To investigate relevant processes as well as to predict the possible impact of soil erosion, many soil erosion modelling tools have been developed. The most productive development of process-based models took place at the end of the 20th century. Since then, the methods available to observe and measure soil erosion features as well as methods to inter- and extrapolate such data have undergone rapid development, e.g., photogrammetry, light detection and ranging (LiDAR) and sediment tracing are now readily available methods, which can be applied by a broader community with lower effort. This review takes 13 process-based soil erosion models and different assessment techniques into account. It shows where and how such methods were already implemented in soil erosion modelling approaches. Several areas were found in which the models miss the capability to fully implement the information, which can be drawn from the now-available observation and data preparation methods. So far, most process-based models are not capable of implementing cross-scale erosional processes and can only in parts profit from the available resolution on a temporal and spatial scale. We conclude that the models’ process description, adaptability to scale, parameterization, and calibration need further development. The main challenge is to enhance the models, so they are able to simulate soil erosion processes as complex as they need to be. Thanks to the progress made in data acquisition techniques, achieving this aim is closer than ever, if models are able to reap the benefit.
Spatial distribution of tree species composition and carbon stock in Tozi tropical dry forest, Sinnar State, Sudan

Abstract. Yasin EHE, Mulyana B. 2022. Spatial distribution of tree species composition and carbon stock in Tozi tropical dry forest, Sinnar State, Sudan. Biodiversitas 23: 2359-2368. Dryland forest ecosystem in Sudan plays an important role, either ecologically or economically, for the community around the forest areas. However, land-use change, illegal logging and grazing have caused dryland forests in the country to degrade. The research aimed to investigate the species composition and carbon stock in a Tozi tropical dry forest (TTDF), a typical dryland forest ecosystem in Sinnar state, Sudan. A total of 306 circular sample plots (1000 m2 for each) were established using a systematic sampling grid method. The distance between plots was 400 m and between survey lines 500 m. In each plot, all living trees were identified and counted, and their diameter at the breast height (DBH) was recorded. Research findings showed that there were 2,339 individual trees representing four species (Acacia seyal, Balanites aegyptiaca, Acacia senegal and Acacia mellifera) that belong to two families. The B. aegyptiaca and A. seyal were the dominant species widely distributed in the TTDF. The average tree density was 175 trees/ha and the Shannon-Weiner index for trees diversity was 0.264. For the seedlings stage, A. mellifera showed a high value of frequency and density, followed by B. aegyptiaca and A. seyal. The structure of seedlings, saplings, and adults trees formed a reverse J-shape in which the density of seedlings was the highest and followed by saplings and adult trees. Carbon stock of A. seyal, B. aegyptiaca, A. senegal, and A. mellifera were 990.95, 2602.78, 1085.82, and 249.20 kg C/ha, respectively. Spatial analysis showed that sites composed of three species resulted in the highest above ground carbon stock compared to single species, two species, and four species compositions.
UNCOVERING THE EFFECTS OF DATA VARIATION ON PROTEIN SEQUENCE CLASSIFICATION USING DEEP LEARNING

: Bioinformaticians face an issue in analyzing and studying protein similarity as the number of proteins grows. Protein sequence analysis helps in the prediction of protein functions. It is critical for the analysis process to be able to appropriately categorize proteins based on their sequences. The extraction of features from protein sequences is done using a variety of methods. The goal of this study is to investigate the different variations of data on the classification performance of a deep learning model employing 3D data. First, few research questions were formulated regarding the impact of the following criteria: dataset size, IMF importance, feature size, and preprocessing on the proposed deep learning classification process. Second, comprehensive experiments were conducted to answer the research questions. Six feature extraction methods were utilized to create 3D features with two sizes (7x7x7 and 9x9x9), which were then fed into a convolutional neural network. Three datasets different in their sorts, sizes, and balance state were used. Accuracy, precision, recall and F1-score are the standard assessment metrics used. Experimental results draw significant conclusions. First, the 7x7x7 feature matrix has a positive correlation between its dimensions, which improved the results. Second, using the sum of the first three IMF components had better impact than using the first IMF component. Third, the classification process did not benefit from the normalization of features for small datasets unlike the large dataset. Finally, the dataset size had a significant impact on training the CNN model, with a training accuracy reaching 84.03%.
Occupational Health Problems among Bakery Workers in 10th of Ramadan City in 2018.

Background : Bakeries can be a very hazardous work site. Occupational health problems at the bakeries may vary from physical, chemical, biological, and psychological health problems. Heat, light, noise, and radiation are the physical health problems that might be encountered at the bakery. Objective: This study was carried out to evaluate the occupational health problems among bakery workers and to evaluate the safety measures at the bakery sites. Method : A cross-sectional study was conducted on bakeries on the 10th of Ramadan City. A total of 100 bakery workers were randomly selected and interviewed individually, at their work. We assessed the self-recorded health problems of the workers during the last 6 months and occupational health problems among them. In addition, occupational health hazards and precautionary measures taken were assessed. Results : Different occupational hazards had disclosed as the following (from the highest to the lowest exposure) among bakery workers: 80.0% for moving stuff while 60.0% had poor positioning during work, followed by 58.0% who were facing excessive heat, then 50.0 % who encountered a hazardous degree of noise. Most bakery sites have very poor ergonomic rules and ventilation. Most bakery workers are exposed to many physical and ergonomic health hazards. Common cold, Headache, and muscle spasms are the most recorded health problems among bakery workers. Conclusion and Recommendations : Most bakery workers are exposed to many physical and ergonomic health hazards. Common cold, Headache, and muscle spasms are the most recorded health problems among bakery workers. We suggest further studies to evaluate the degree of the physical and ergonomic hazards at the bakery sites. Besides, bakery workers should be encouraged to be trained on occupational health and safety; how to prevent health problems, accidents and use safety measures, first aids, and PPEs at the bakery sites.
Crosstalk reduction in tabletop multiview display with fog screen

Fog screens offer a great advantage to be used as scattering screens in three‐dimensional displays. In the absence of a fixed rigid form, fog screens work as screens without any physical obstruction. The density of water droplets can be regulated to adjust the screen's transparency and scattering level. This study proposes a method for crosstalk reduction between adjacent viewing windows by decreasing the divergence of view of the projector, with concentration lenses. By applying the Scheimpflug principle, we also reduce the keystone effect, which occurs when the fog screen is slanted with respect to the optical axis. In this study, we have realized a tabletop multiview fog display without any structures on the table and established that the proposed method is feasible for decreasing crosstalk effectively.
FBP2—A New Player in Regulation of Motility of Mitochondria and Stability of Microtubules in Cardiomyocytes

Recently, we have shown that the physiological roles of a multifunctional protein fructose 1,6-bisphosphatase 2 (FBP2, also called muscle FBP) depend on the oligomeric state of the protein. Here, we present several lines of evidence that in HL-1 cardiomyocytes, a forced, chemically induced reduction in the FBP2 dimer-tetramer ratio that imitates AMP and NAD+ action and restricts FBP2-mitochondria interaction, results in an increase in Tau phosphorylation, augmentation of FBP2-Tau and FBP2-MAP1B interactions, disturbance of tubulin network, marked reduction in the speed of mitochondrial trafficking and increase in mitophagy. These results not only highlight the significance of oligomerization for the regulation of FBP2 physiological role in the cell, but they also demonstrate a novel, important cellular function of this multitasking protein—a function that might be crucial for processes that take place during physiological and pathological cardiac remodeling, and during the onset of diseases which are rooted in the destabilization of MT and/or mitochondrial network dynamics.
Universal Casimir interactions in the sphere–sphere geometry

We study universal Casimir interactions in two configurations which appear as dual to each other. The first involves spheres described by the Drude model and separated by vacuum while the second involves dielectric spheres immersed in a salted solution at distances larger than the Debye screening length. In both cases, the long-distance limit, equivalently the high-temperature limit, is dominated by the effect of low-frequency transverse magnetic thermal fluctuations. They are independent of the details of dielectric functions of materials, due to the finite conductivity of metals in the former case and of salted water in the latter one. They also show universality properties in their dependence on geometric dimensions in relation to an approximate conformal invariance of the reduced free energy.
Dynamic Stability and Analysis of SMIB system with FLC Based PSS including Load Damping Parameter Sensitivity

This paper studies Dynamic Analysis and Stability of Single machine connected to infinite bus (SMIB) with power system stabilizer (PSS) in presence of Fuzzy logic controller (FLC) including load damping parameter sensitivity. Here PSS is modeled using fuzzy logic controller and the response is compared with the responses of the system in presence of conventional PI, PID controllers including load damping parameters sensitivity. In case of FLC based PSS the responses are compared different load damping parameters. Matlab-Simulink is used to test the results.