Miracle-dz/UniFAR-FTUs huggingface dataset:
Abnormal recognition algorithm based on manifold learning for turbopump mass data

To extract the information from turbopump mass data and analyze its health condition,the paper presented a mass data abnormal recognition algorithm based on manifold learning.The algorithm reconstructed turbopump vibration data in high-dimensional space.Then,the diffusion map method was used to directly learn the high-dimensional data and extract intrinsic low-dimensional manifold feature in data set.The abnormal condition in turbopump mass data was discerned visually.The validation results of simulation and test data demonstrate the feasibility and effectiveness of the presented algorithm.The algorithm conquers the shortcoming of the traditional methods that are insufficient for nonlinear problems,and gives a new solution of turbopump post-test health analysis.
A Review of Energy Efficiency Considerations in Optical Backbone Supported Clouds

— Ever arising energy demands as well as the associated effects such as adverse climate changes are leading to an increased interest in energy efficiency which by enlarge can only be achieved by the incorporation of Information and Communication Technology (ICT) technologies in legacy and present power grid systems thus transforming them into smart grids. ICT is responsible for a significant total energy consumption globally and hence the need to implement measures and policies aimed at reducing it. Gradually electrical energy (power) is becoming key to the normal everyday life of humanity as well as for the services provisioned by ICTs. Smart Grids concepts such ass distributed generation, dynamic pricing, and demand/response management, are impacting the operation of ICT services such as, clouds and data centers. In this paper, we overview smart grid-driven approaches in energy-efficient communications and data centers and clouds, and the interaction between smart grid and information and communication infrastructures. We provide smart grid-driven approaches in energy-efficient communication systems we pay attention to we analyze the energy efficiency of an all-optical network support backbone for smart grids.
Exploiting protein family and protein network data to identify novel drug targets for bladder cancer

Bladder cancer remains one of the most common forms of cancer and yet there are limited small molecule targeted therapies. Here, we present a computational platform to identify new potential targets for bladder cancer therapy. Our method initially exploited a set of known driver genes for bladder cancer combined with predicted bladder cancer genes from mutationally enriched protein domain families. We enriched this initial set of genes using protein network data to identify a comprehensive set of 323 putative bladder cancer targets. Pathway and cancer hallmarks analyses highlighted putative mechanisms in agreement with those previously reported for this cancer and revealed protein network modules highly enriched in potential drivers likely to be good targets for targeted therapies. 21 of our potential drug targets are targeted by FDA approved drugs for other diseases — some of them are known drivers or are already being targeted for bladder cancer (FGFR3, ERBB3, HDAC3, EGFR). A further 4 potential drug targets were identified by inheriting drug mappings across our in-house CATH domain functional families (FunFams). Our FunFam data also allowed us to identify drug targets in families that are less prone to side effects i.e., where structurally similar protein domain relatives are less dispersed across the human protein network. We provide information on our novel potential cancer driver genes, together with information on pathways, network modules and hallmarks associated with the predicted and known bladder cancer drivers and we highlight those drivers we predict to be likely drug targets.
ENHANCED FAST PERTURBATION ALGORITHM FOR BIG DATA TO PRESERVE THE SENSITIVE ITEMSET

 Abstract — Data mining is an efficient technique that extracts significant, available information within massive, complicated data. The development of data mining techniques brings serious threat to the security of individual sensitive information. Privacy Preserving Utility Mining is one of the important approaches in Privacy Preserving Data Mining, where it is an integration of both Utility Pattern Mining and Privacy Preserving Data Mining. Utility Pattern Mining will extract useful knowledge from database with high utility issues whereas Privacy Preserving Data Mining is used to modify the data in such a way so as to perform the data mining algorithm effectively without compromising the security of sensitive information contained in the data. So, Privacy Preserving Utility Mining is used to improve efficiency of the algorithm and ensures the database privacy. In the previous approach, A Fast Perturbation Algorithm is used with Tree structure and Tables as a database which avoids costly candidate generation and it also achieves efficiency and better performance than apriori like algorithm. However, the database needs to be scanned twice to get the Fast Perturbation Algorithm Using Tree structure and Tables and repeatedly checking the frequency of occurrence against the support threshold. Therefore, this can be time consuming while new data are added to the existing database. To solve this problem, Pattern Tree algorithm is proposed based on a new data structure Pattern Tree and a new technique, which can get P-Tree through only one scan of database and obtain the corresponding Fast Perturbation Tree with a specified support threshold. Updating a P-Tree with new data needs one scan of the data only and the existing data need not be rescanned. In addition the proposed algorithm generates better scalability and presents a large database in a highly condensed format and avoids the second database scan.
Graph-Based Extractive Text Summarization Models: A Systematic Review

The volume of digital text data is continuously increasing both online and offline storage, which makes it difficult to read across documents on a particular topic and find the desired information within a possible available time. This necessitates the use of technique such as automatic text summarization. Many approaches and algorithms have been proposed for automatic text summarization including; supervised machine learning, clustering, graph-based and lexical chain, among others. This paper presents a novel systematic review of various graph-based automatic text summarization models
Addition of selected ginger extract on total phenolic, antioxidant and sensory properties of the syrup coconut sap (ginger – scs)

This study aimed to determine the effect of adding selected ginger extract on the total phenolic, antioxidant and sensory properties of its syrup coconut sap (Ginger-SCS). Three selected rhizomes including normal, aromatic, and wild ginger were shredded and extracted with warm water and filtered. The extract was added into coconut sap to obtain the final concentrations of 2.5%, 5%, and 7.5% (v/v). It was heated to increase the concentration and the coconut sap syrup without ginger extract was used as a control. Furthermore, the total phenolic, antioxidant activity, and sensory properties of GingerSCS were determined. The result showed that the addition of ginger extract has a significant effect on the total phenolic and antioxidant activity of Ginger-SCS. The addition of wild ginger produces Ginger-SCS with the highest total phenolic content. Increasing the concentration increases the total phenolic and antioxidant activity of Ginger -SCS. In addition, 7.5% wild ginger extract produces Ginger-SCS with a total phenolic of 0.63% and antioxidant activity of 25.75%, which is higher than other concentrations. The addition of ginger extract resulted in browner colour than the control. Increasing ginger concentration increases the ginger taste and aroma of the product. On the contrary, the addition of ginger extract causes reduced sweetness of the product when compared to the control. Generally, the panellist liked the product with the addition of ginger and aromatic ginger.
Security of connected healthcare devices

—The healthcare industry is evolving at a rapid pace. Through the development of newer technologies, patientcare is improving and is currently the best it has ever been. However, the rapid growth of this industry has led to the development of numerous medical devices that only prioritize functionality. Disregarding other aspects such as security and privacy, these devices are easy targets for hackers, and pose a major risk to patients’ well-being. In this paper, we discuss several security issues and challenges faced by medical device manufacturers, as well as several proposed techniques to mitigate these flaws.
OPTIMIZATION, DEVELOPMENT AND INNOVATION IN MAINTENANCE OF WIND HYBRID TURBINES BASED ON GENETIC ALGORITHM

Given the significant role played by genetic algorithms in different industries, the present study aimed to present an approach to optimize, develop and innovate for maintenance of wind hybrid turbines according to such algorithms. For this purpose, an overview on development and optimization process for turbines maintenance based on genetic algorithm is initially presented. Then, each part of a hybrid wind turbine system, including wind turbine, micro-hydro power, electrolyzer, hydrogen tank, fuel cell and inverter, is described and the corresponding equations are taken into consideration. Finally, our proposed turbines maintenance optimization procedure using genetic algorithm is presented. The simulation results provided an optimum configuration consist of 19.85 Tons of hydrogen tanks, 610kW of micro-hydro unit and 21 units of wind turbine with each capacity is 100kW. The annual cost of system is US$ 2.08 million, while the annual capital cost is US$ 1.35 million. This system concluded to be useful in Manjil and Rudbar Wind Farm.
Unbalanced control strategy based on negative voltage compensation for VSC-HVDC system

The control strategy for unbalanced VSC-HVDC system is directly related to its function and security, so it has a great importance for the engineering. The paper builds a positive and negative mathematical model of VSC in d-q synchronous reference frame, and designs a detecting system of synchronous phase and positive and negative component under unbalanced condition. By using nonlinear transformation and nonlinear system feedback linearization theory, the state-feedback linearization decoupling controller for VSC-HVDC system is established. Finally, the paper designs an unbalanced control strategy based on negative voltage compensation for VSC-HVDC. Besides restraining the negative current, it also simplifies the structure of the control system. The digital simulation based on PSIM proves the designed controller has good control performance.
Semiconductor Physics And Devices Basic Principles 4th Edition Solution Manual

Basic Semiconductor PhysicsPhysics of Semiconductor DevicesSemi-Conductor Physics & DevicesAdvanced Theory of Semiconductor DevicesThe Physics of SemiconductorsModern Semiconductor Devices for Integrated CircuitsFundamentals of Semiconductor PhysicsIntroductory Semiconductor Device PhysicsModeling Bipolar Power Semiconductor DevicesSemiconductor Physical ElectronicsSemiconductor Physics And DevicesSemiconductor Device Physics and SimulationSemiconductor Physics and DevicesSemiconductor PhysicsSemiconductor Physics And DevicesPhysics of Semiconductor DevicesSemiconductor Optoelectronic DevicesPhysics of Semiconductor DevicesPhysics of Semiconductor DevicesSemiconductor Device FundamentalsBasic Semiconductor PhysicsThe Physics of SemiconductorsSemiconductor Physics and ApplicationsIntroduction to Semiconductor Device ModellingCompound Semiconductor Device PhysicsSemiconductor Physics and DevicesSemiconductor Devices: Physics and Technology, 3rd EditionSemiconductor DevicesNoise Research in Semiconductor PhysicsPhysics of Semiconductors and NanostructuresSemiconductor Physics and DevicesSemiconductor Devices : Basic PrinciplesCompound SemiconductorsSemiconductor Device Physics and DesignFundamentals of Semiconductor Physics and DevicesIntroduction to Semiconductor PhysicsFundamentals of SemiconductorsPhysics of Semiconductor DevicesSemiconductor PhysicsModern Semiconductor Physics and Device Applications
IJSRD-International Journal for Scientific Research & Development| Vol. 8, Issue 4, 2020 | ISSN (online): 2321-0613

Land and water are the two most important resources of the world and these resources must be preserved and maintained carefully for environmental protection and ecological balance. Prime soil resources of the world are finite, non-renewable and susceptible to degradation through misuse and mismanagement. In India, out of a total geographical area of 328 M ha, an estimated 175 M ha of land, constituting an area of 53% suffers from deleterious effect of soil erosion and other forms of land degradation and with the increasing population pressure, misuse of natural resources, faulty land and water management practices, the problem of land degradation will further aggravate. Land use change within an area has not only an impact on numerous hydrologic landscape functions but also affects the habitat quality and thus the biodiversity of a landscape.
Parametric optimization of blowdown operated double-effect vapour absorption refrigeration system

The present work investigates the thermodynamic optimality of a double-effect vapor absorption refrigeration system (VARS) driven by blowdown heat of a 210 MW thermal power plant at Badarpur using response surface methodology (RSM). RSM helps to develop a relation amongst the decision variables and the second law efficiency via second-order nonlinear polynomial regression equation. In addition, the analysis of variance technique (ANOVA) is applied to identify the decision variables having a significant effect on the system’s thermal performance. Moreover, coefficient of structural bond (CSB) analysis of the evaporator is carried out. The decision variables are the temperatures of the high-pressure generator, low-pressure generator, condenser, absorber, and evaporator. Results conclude that the second law efficiency is affected significantly by absorber temperature (F value = 2049.4), followed by condenser temperature (F value = 1596.4), and is least affected by high-pressure generator temperature (F value = 495). CSB value of the Evaporator is 0.5851.
RELIABILITY OF MEMS AND ITS FAILURE ANALYSIS

Over the last few years,considerable effort has gone into the study of the reliability of micro-electro-mechanical system(MEMS) and its failure modes.Although still very incomplete,the reliability issues relevant to MEMS is growing.An overview of the current status of the available relevant literatures is given,and two reliability analysis methods of MEMS based on cost and failure analyzing/quality assurance respectively at present is discussed.In addition,some other recent analysis methods are included.A lot of failure analyzing basic element structures used widely in the world is analyzed.Various kinds of failure modes,failure mechanisms,application scopes and correlation measures adopted of MEMS are stated in detail.Correlative micro analyzing technologies for the failure modes of MEMS is brought forward,and main applications and analysis methods are studied.All these can afford reliability safeguard for MEMS and benefit its reliability design.
Study of the Mining Height of Caving Zone in Large Mining Height and Super-Long Face of Shallow Seam

Through theoretical analysis and the numerical calculation for large mining height and super-long face from different mining height,different length and support strength,we performed an overall study for mining height of caving zone.The results show that 1) roof caving zone height increases exponentially with the increase of mining height and the length of working face,but the length of working face increasing has a less effect than the mining height;2) the regression formulas,that the roof caving zone height affected by mining height and length is given;and 3) by comparative analysis,the regression formulas of roof caving zone height are closer to the field measurement than the old theory,so the technical support of selecting suitable supporting measures for large mining height and super-long face is provided.
Micromechanically Tunable Dielectric Rod Resonator

— A resonant frequency control method for dielectric rod resonators is discussed. A dielectric rod of cylindrical shape is placed inside a metal cavity. The bottom face of the dielectric rod is fixed at the metal base plate. Resonant frequency tuning is achieved by lifting the top metal plate above the dielectric rod upper face. The paper presents simulations using the mode matching technique and experimental study of this tunable resonator. Resonant frequency of the basic mode can be tuned by more than an octave with displacements of only tens of micrometres, which is in range of piezoactuators, MEMS, etc. A distinct feature of the proposed tuning technique is that the quality factor of the system does not degrade throughout the tuning range.
TESTING THE ECOLOGICAL SITE CONCEPT IN MONGOLIAN RANGELANDS CASE STUDY IN UNDURSHIREET SOUM AREA

Mongolian rangelands have degraded considerably within the last twenty years following an increase in the number of livestock and changed management. The current land management system has caused decreased herd mobility and overgrazing. This situation calls for new tools for rangeland management based on ecological knowledge, including knowledge on land condition, land potential and the underlying ecosystem functions, or what is collectively referred to as Rangeland Health. Only through such approaches can we expect to achieve sustainable land management. An Ecological Site is a particular area which has its own ecological potential for productivity. A State and Transition Model is a conceptual model describing plant community change pathways under certain sets of disturbances. This approach gives an opportunity to assess land condition and to detect possible changes. Furthermore, an integration of these two enable application of State and Transition Models to help identify states at risk of crossing irreversible ecological thresholds of land degradation and to find appropriate interventions for degraded lands. The purpose of this study was to validate the Ecological Site concept for selected Mongolian rangelands in the Undurshireet Soum area and to test a proposed State and Transition model developed for Stipa Krylovii dominating communities in the Undurshireet Soum area. The results support the main Ecological Sites as they are defined for the Undurshireet Soum area. However, they also suggest that the classification should be simplified to some degree. This is especially true for the calcareous soil sites. The results from reviewing the State and Transition model suggest that an alternative simpler model is more Land Restoration Training Programme Keldnaholt, 112 Reykjavik, Iceland UNU Land Restoration Training Programme ii appropriate. Consequently, I suggest that field strategies should be revised in order to collect better data for testing the applicability of State and Transition Models, but the methodology applied here to verify previously defined Ecological Sites appears to be useful. This paper should be cited as: Sainnemekh S (2014) Testing the ecological site concept in Mongolian rangelands. Case study in Undurshireet Soum area. United Nations University Land Restoration Training Programme [final project] http://www.unulrt. is/static/fellows/document/Sainnemekh2014.pdf UNU Land Restoration Training Programme iii TABLE OF CONTENTS
Incidental Findings in Stress Echocardiography : Embolization of an Iliofemoral Stent

An implantable cardioverter defibrillator (ICD) is placed in the chest wall of patients who have reduced cardiac function and recurrent episodes of ventricular tachycardia or fibrillation. The purpose of the ICD is to detect lifethreatening arrhythmias with subsequent cardioversion to a normal rhythm. Standard positioning of ICD leads are isolated to the right atrium and right ventricle, respectively. This case report documents an incidental but rare finding of an ICD lead traversing a suspected atrial septal defect in a patient with worsening dyspnea and a history of pulmonary embolism. Transthoracic echocardiography revealed what appeared to be a looped right atrial lead within the left atrium traversing the atrial septum, demonstrating an unusual ring appearance artifact. Subsequent imaging by contrast-enhanced computed tomography of the chest and transesophageal echocardiography confirmed the initial transthoracic echocardiographic findings.
DETECTING THE PATTERNS OF SMARTPHONE USAGE AMONG UNIVERSITY STUDENTS

Smartphone users have been spending an increasing amount of time on their devices, indicating a virtual-world fixation. Smartphone users, especially young adults ranging from high school students to university students are the most frequent users of smartphone and its applications. Their continuous use of smartphones has generated concerns about whether it has become an addiction with adverse effects on their academic performance. With regards to these issues, the present study aims to study the patterns of smartphone use and smartphone use experience among university students, and also to identify whether there are any significant differences of smartphone use among university students in Malaysia based on gender, level of study, type of university and discipline of study. This study employs a descriptive-correlational research design to collect data through an online survey questionnaire. The data analysis was conducted using descriptive statistics such as mean, standard deviation, frequency and percentage. Besides, inferential statistics such as independent samples t-test was also employed to analyse the data. The study was conducted at tertiary institutions located in Selangor, consisting of a public and a private university. The respondents involved both undergraduate and postgraduate students. A total of 453 students were randomly selected to participate in the survey, which was conducted online using Google form. The findings indicate that the students spent 50% of their smartphone time engaging in educational and learning activities. They estimated that they spend 22 to 26 hours weekly on using their smartphone. Besides that, the study also found that these tertiary students do not perceive themselves inflicted with mobile addiction. They also did not agree that smartphone use has a positive effect on university students. However, they somewhat agreed that to some extent excessive smartphone use has a negative effect on the students. The independent samples t-test indicated that there was a significant difference in smartphone use between genders. Males seem to indicate a higher level of smartphone usage than females. The findings