Miracle-dz/UniFAR-FTUs huggingface dataset:
Techniques And Standards For Multi Antenna Multi User And Multi Cell Systems Mimo Wireless Networks Second Edition Channels Techniques And Standards For Multi

the "physical layer" of networks while presenting polarization diversity analysis and positioning of any subscriber located in areas of service both for land-to-land and land-to-atmosphere communication links. The book includes clear descriptions of planning techniques for different integrated femto/pico/micro/macrocell deployments. The authors also examine new technologies of time and frequency dispersy and multiple-input and multiple-output (MIMO) modern network design in space and time domains. In addition, the text contains a discussion of a MIMO network based on multi-beam adaptive antennas. This important book: Provides an examination of current and modern wireless networks Describes various techniques of signal data capacity and spectral efficiency based on the universal stochastic approach Explains how usage of MIMO systems with adaptive multi-beam antennas increase the grade of service and quality of service of modern networks beyond 4-G Provides comparative analysis of depolarization effects and the corresponding path loss factor for rural, mixed residential, suburban, and urban land areas Written for students and instructors as well as designers and engineers of wireless communications systems, Wireless Networks Technologies offers a combination of physical and mathematical-statistical approaches to predict operational parameters of land-to-land and land-to-atmosphere personal and mobile wireless communication networks. This updated second edition of the Artech House book Wireless Positioning Technologies and Applications presents comprehensive coverage of wireless positioning principles and technologies for engineers involved in using or developing wireless location applications. This book explains the basics of GPS and demonstrates the applications of fundamental distance measuring principles. This edition includes updated and expanded chapters on satellite navigation, OFDM (Orthogonal Frequency Division Multiplex), TDOA location facilities in 3GPP LTE specifications, carrier phase measurements and DGPS, wireless sensor networks, MIMO positions, inertial navigation, and data fusion. Moreover, complete coverage of cellular network infrastructure for location, including 4G LTE, and up to-date Bluetooth location in short-range wireless networks is presented as well as modernization programs used for GPS accuracy and reliability. This book helps readers assess available positioning methods for new applications, locate applicable sources for a given technology, and simply difficult engineering and mathematical concepts. Provides a variety of practical optimization techniques and modeling tips for solving challenging wireless networking problems. Case studies show how the techniques can be applied in practice, homework exercises are given at the end of each chapter, and PowerPoint slides are available online, together with a solutions manual for instructors.
Impairment of sperm efficiency in mice following short-term nano-titanium dioxide exposure: An experimental study

Abstract Background Titanium dioxide nanoparticles (TiO 2 NPs) are widely used in many compounds. Recent evidence has displayed some cytotoxic effects of TiO 2 NPs on male reproduction. Objective The effects of TiO 2 NP administration on sperm parameters and chromatin and seminiferous histopathology of male mice were investigated. Materials and Methods In this experimental study, 32 NMRI male mice (35 ± 3 gr, 8-12-week-old) were divided into four groups (n = 8/each): treated groups were fed orally with 2.5 (group I), 5 (group II) and 10 (group III) mg/kg/day TiO 2 NPs for 40 days and the control group received phosphate buffered saline. Sperm parameters, DNA integrity and chromatin quality were assessed using chromomycin A3, aniline blue, toluidine blue staining and TUNEL. Hematoxylin eosin staining was performed to measure spermatogenic cells and the total diameter of seminiferous tubules. Also, sex hormone and malondyaldehyde levels were measured. Results Abnormal sperm tails rose in group III (28.87 ± 4.91) in comparison with the control group (12.75 ± 3.95). However, chromomycin A3 staining and TUNEL showed higher levels in group III in comparison with the control group, whereas aniline blue and toluidine blue staining showed no differences. A significantly lower spermatogenesis index and lumen parameters were observed in group III. Leydig cell numbers, cellular diameters and the area of the seminiferous tubules were lower in the treated groups. The testosterone level was also lower in these groups and the percentage of malondyaldehyde in the seminal fluid was higher. Conclusion Exact mechanisms of TiO 2 NPs are not clear; however, cytotoxic and genotoxic effects of TiO 2 NPs may relate to oxidative stress. Given their widespread use, TiO 2 NPs should be a public health focus of attention.
Predicting ground-state molecular properties using the quantum-mechanical dataset QM7-X

Developing flexible, reliable, and widely generalizable methods to predict molecular properties at low computational cost is an important goal in computational chemistry. Various machine learning architectures have been developed to achieve this goal, but many training procedures are inflexible or suffer from a low quality of training sets. Here, we use a relatively simple graph convolution network architecture to predict the total and atomization energies for the recently published QM7-X dataset, which contains reliable and tightly converged properties for a comprehensive subset of small organic molecules. Our results show strong correlation between actual and predicted values, with R 2 dev values of 0.95 and 0.92 for total and atomization energies respectively.
Terminalia species: Phytochemical and Pharmaceutical Review

Terminalia plant is widely present in many countries and used for various Ayurvedic and folkore medicines. All the parts of the plants have medicinal values due to their presence of bioactive compounds. More than 500 active compounds are isolated and characterized by various researchers and published in reputed journals were referred in this manuscript. Bioactive compounds contain hypoglycemic, hypolipidimic, anticancerous (cytotoxic), antihelminthic, immunoboosting and rejuvenating, bowel system and digestive system regulation. This paper concluded the various phytochemical and pharmaceutical role of T. catappa, T. bellerica, T. arjuna and T. chebula species.
Synthesis, Characterization & Antibacterial Evaluation of Different Nanostructures of Zinc Oxide

In the present research work, synthesis of Zinc oxide nanostructure, their antibacterial evaluation and characterization was carried out. In this study, zinc nanoparticles were rapidly synthesized from Zinc Acetate [Zn (O2CCH3)2] solution with different precursors. The synthesized ZnO nanostructures were characterized by different spectroscopic and analytical techniques such as Zeta-Sizer, XRD, TEM. The SEM. X-ray diffraction, ZetaSizer, SEM analysis studies confirmed the formation of well dispersed zinc oxide nanostructures with average particle size to be in the range of 35 to 60 nm. The antibacterial evaluation of the ZnO nanoparticles using different precursors (NaOH, KOH, LiOH) was done by Agar well diffusion method against E. coli, P. aeruginosa, B. subtilis and S. aureus bacteria and the zone of inhibition were measured.The antibacterial evaluation of the synthesized nanostructures shows that it has been the driving force for the development of new surfaces with antibacterial agents that might affect differently several microorganisms and hence helps in prevention of infection.
Synthesis of unequally-spaced linear array using modified central force optimisation algorithm

In this study, a modified version of the central force optimisation (MCFO) algorithm is presented. This modified version is based on the idea of combining the ability of social thinking in particle swarm optimisation (PSO) with the search capability of the original CFO, along with the addition of time-varying acceleration coefficients, to effectively control the global search and enhance the CFO convergence capability. The convergence capability of the MCFO approach is compared with that of other recent evolutionary-based algorithms, using 12 benchmark functions grouped into unimodal and multimodal functions. Furthermore, the MCFO algorithm is considered for the synthesis of unequally-spaced linear arrays with minimum sidelobe levels and/or null placement in certain directions as well as a specified maximum null-to-null beamwidth. The comparison of the simulations of different algorithms shows that the MCFO technique is superior to other evolutionary algorithms such as the genetic algorithm, ant colony optimisation, PSO algorithm, and gravitational search algorithm, as well as other improved CFO algorithms.
EFFECT OF STRUCTURAL MODELING UNCERTAINTIES ON SEISMIC PERFORMANCE OF STEEL MOMENT

Prediction of structure’s response to seismic loads is a complex problem with many parameters involved that some of them can behave highly uncertain. Nonetheless it is needed to have a clear understanding of how these uncertainties affect structural seismic performance. In this matter, it is convenient to separate uncertainties into two categories: aleatory (due to variability of strong ground motions) and epistemic (related to structure's numerical model). This Paper aims to investigate effect of structural uncertainties on seismic performance of steel moment resisting frames through extended IDA of a sample 5-storey frame. In this regards, uncertainties in damping, mass, yield strength and ultimate strength of structural steel have been considered as probabilistic variables. Latin Hypercube Sampling (LHS) has been used to create random realizations of structures. With the aid of reliability methods, different sources of uncertainty and their ranges of influence on seismic performance have been disaggregated Considering results, it can be seen that uncertainties in selected parameters have important effect on seismic performance. Capacity and demand estimations based only on deterministic procedures may ignore some substantial points. Also including these uncertainties in performance calculations can considerably change probability of achieving desired performance at some levels.
A Design Framework for Citizen-Science AI Platforms for Families

More families are willing to spend time on citizen science projects, intending to cultivate awareness of sustainability efforts by participating in scientific research. As machine learning techniques are becoming more integrated into citizen science projects, it is becoming increasingly essential for families to understand how AI technology works. Based on our previous online workshops with 14 families on Coraland, a platform explaining image classification in the context of citizen science, we present four design principles that support the design of citizen science AI applications for families: (1) Provide scaffolds of activities, (2) Expose underlying logic of AI systems, (3) Support users envision new use cases, (4) Support ongoing evaluation and reflection. Following these design principles, we develop a new iteration of Coraland’s platform design to inform the design of future citizen science AI applications. We conclude with the potential applications and limitations of the proposed design framework.
Comparison of the effects of atorvastatin and rosuvastatin on the levels of inflammatory markers and lipid profile in the patients with acute coronary syndrome: Randomized controlled double - blind clinical trial

Background: The role of lipids and inflammation in the patients with cardiovascular complications has been reported. The primary aim of the current randomized controlled double-blind clinical trial was to compare the influence of Atorvastatin and Rosuvastatin on the lipid profile and inflammatory markers in the patients with Acute Coronary Syndrome (ACS). Methods: This study included 84 cases with approved diagnosis of ACS. Patients were randomized into two groups (42 cases each) and received Atorvastatin (80 mg/day) or Rosuvastatin (40 mg/day) for two months. After this period, levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6, C-reactive protein (CRP), and monocyte chemoattractant protein-1 (MCP-1) and lipid profile was determined in serum samples using enzyme-linked immunosorbent assay (ELISA). Results: It was observed that there was a significant reduction in the TNF-α (P= 0.008) and MCP-1 (P= 0.001) levels in the Atorvastatin group. Moreover, there was a significant decrease in the TNF-α (P= 0.001) and MCP-1 (P= 0.003) levels in the Rosuvastatin group. Atorvastatin caused statistically significant decreased levels of LDL (P= 0.014), TG (P= 0.012), and total cholesterol (P= 0.011). As such, Rosuvastatin also caused statistically significant reduced levels of LDL (P= 0.028), TG (P= 0.010), and total cholesterol (P= 0.003). No differences were observed in the levels of inflammatory markers and lipid factors between patients receiving Atorvastatin comparted to Rosuvastatin. Conclusions: Although both Atorvastatin and Rosuvastatin seem to beneficial in soothing inflammation and decreasing the levels of lipids in ACS patients, none of them privilege the other one within this context. Keywords: acute coronary syndrome; atorvastatin; rosuvastatin; inflammation; lipid profile.
Modeling U.S. Health Agencies' Message Dissemination on Twitter and Users' Exposure to Vaccine-related Misinformation Using System Dynamics

This research intends to answer: how do (i) generation frequency and (ii) retweeting count of health agencies' messages impact the exposure of the general users to vaccine-related misinformation on Twitter? We creatively employed a Susceptible-Infected-Recovered (SIR) System Dynamics paradigm to model interactions between message dissemination of 168 U.S. health agencies and proportions of users who are at different exposure statuses to misinformation, namely "Susceptible", "Infected", or "Recovered" status. The SIR model was built based on the vaccine-relevant tweets posted over November and December in 2020. Our preliminary outcomes suggest that augmenting the generation frequency of agencies' messages and increasing retweeting count can effectively moderate the exposure risk to vaccine-related misinformation. This model illustrates how health agencies may combat vaccine hesitancy through credible information dissemination on social media. It offers a novel approach for crisis informatics studies to model different information categories and the impacted population in the complex digital world. © 2021 Information Systems for Crisis Response and Management, ISCRAM. All rights reserved.
Digital Test Generator And Answer Assessment System

— In any educational course curriculum, the courses are defined with learning objectives. Teachers conduct assessments to know if students have achieved certain learning objectives or not. Teachers produce assortment of question papers according to the colleges' evaluation prerequisites. It is trying for the teachers to make question papers with changed inquiries and which and which meet learning objectives of the course. There are no standardized methods to ensure quality of question paper. Hence, emerges a need of a system which will consequently produce the question paper from teacher entered detail inside couple of moments. Specialists suggest diverse arrangements of labels, for example, difficulty level, kind of question, content/theme for characterizing a question paper and so on. The current tools are inflexible and bolster essential or restricted labels. The proposed system will consequently produce a question paper from questions stored. This system offers adaptability by supporting each of the four kinds of question and permits section of each property in the type of extents for example lower bound and upper bound. The assessment and evaluation of the answers provided is also an important factor. This system also provides a framework for answer assessment by assigning marks to the answer received, by comparing the given answers with the model answer provided and stored in the database.
THE IMPACT OF MONEY SUPPLY ON INFLATION IN PAKISTAN

This study examines the relationship between inflation, Money supply, interest rate and unemployment in Pakistan using annual time series data from 1987 to 2019. Inflation is used as the dependent variable and money supply (M2), unemployment and interest rate as the independent variable. Discount rate is used as the proxy of the interest rate. The results of ADF unit root test shows that variables have different order of integration. The study used ARDL cointegration approach to test the long run and short run for the existence among the variables. The results found that there is long run as well as short run relationship among the variables.
Interaction of power-module design and modulation scheme for active neutral-point-clamped inverters Due to the unequal loss distribution of the three-level NPC voltage-source converter, ANPC becomes a suitable choice when the output power range has to be increased

Due to the unequal loss distribution of the three-level NPC voltage-source converter, ANPC becomes a suitable choice when the output power range has to be increased. Moreover, there are diverse modulation strategies for the ANPC and, for each one, the optimized solution in terms of semiconductors and power-module layout. The goal of this paper is to analyze two implementation approaches – full-Si and Si-SiC-hybrid – and their respective proper modulation schemes. The forward recovery voltage influence on system level for both strategies is also presented. Finally, some considerations are made in terms of power-module design.
Blockchain in Corporate Finance: A Review of Use-Case, Opportunities and Risks

In the era of the digital revolution, organizations are surrounded by disruptive technologies and find themselves constantly in the middle of change processes. In recent years, blockchain technology has evolved tremendously, and in the future, it may fundamentally influence and change the finance and accounting domain of the early 21st century. Originally the blockchain technology was created only as technology to introduce the cryptocurrency Bitcoin, however by now the blockchain is considered by experts as a major innovation beyond its initial scope. In light of these changing circumstances, innovative opportunities, as well as new challenges, arise. This creates many questions and academic debates among researchers all over the globe as to which business models and functions in the financial sector may become obsolete or where to streamline and enhance processes through blockchain applications. The paper addresses the research question to what extent the blockchain technology is capable of changing well-known business processes and finance functions within companies. In doing so, it shows the opportunities and challenges, which are based on an extensive literature-review by the authors. The paper presents current use cases on market and finishes with an outlook on the future potential of blockchain.
Evaluation of antenatal care utilization studies in Nigeria from 1990-2020: A narrative review

Background: In Nigeria and other developing countries, there are still recorded high cases of maternal and perinatal mortality rates which can be attributed to the general under utilization of antenatal care (ANC) services which varies across variables. Antenatal care still remains the proven approach targeted to improving the quality and efficacy of ANC and also improving the overall health outcome of mother and child. The new model recommends a minimum of 8 contacts during the entire course of a woman’s pregnancy in order to reduce drastically incidences of maternal and perinatal mortality and to also enhance the woman’s experience of care during pregnancy Objective: This study presented an overview of Antenatal Care Service Utilization Studies and Services in Nigeria and generated information for intervention and policy making. Methods: This study reviewed an overview of antenatal care services and its utilization in Nigeria imploring the use of a narrative review style literature writing. The literature search was conducted on computerized databases. Search terms were used singly, in combination, and truncation to select and synthesize articles. The studies selected included those written in the English Language that was carried out in Nigeria with clear study design and properly stated year of publication which fell within the stated years of 1990 to 2020. The data obtained were subjected to descriptive statistics of frequency and percentage and was also subjected to comparative assessment using the Oxford and Scottish Benchmarks for Study Standard. Results: A total of 54 articles met the criteria and were used for the study. The highest incidence of the articles selected were studied Nation-wide (40.74%). This was followed by the southwest (27.78%). South-south and southeast had the same number of articles selected (9.26%), while the north-central had the highest number (7.41%)of articles sited in the north, with north-east and north-west being (3.70%) and (1.85%) respectively. Only one article on antenatal care services and its utilization was cited before the year 2000 (1.85%) while the highest number of studies (79.63%) which were conducted out between 2011 and 2020. The studies were found to fall within the lower half of the Oxford and Scottish benchmarks for the hierarchy of studies and study standards. Conclusion: Antenatal Care service utilization in Nigeria are still at their teething stage. Most of the incidence of the studies conducted were nation-wide and in southwest. The leading study design carried out were cross-sectional descriptive surveys which fell within the lower half of two standard benchmarks (Oxford and Scottish) for the hierarchy of studies. Keywords: antenatal care; services; service utilization; nigeria; narrative review; maternal Health; health survey.
FMEA Model of Complex System Based on Bayesian Networks

Variable correlation is expressed with consequence graph in Bayesian Networks (BN),analysis of failure mode and effect of complex system is realized. BN modeling step is to decide model variables, and decide the network topology based on variable consequence. The second step is to evaluate for BN, decide prior probability and conditional probability. The third step is to fuse test and expert information, and then improve the topology of network and get conclusion.
Negative Quantum Capacitance Effects in Metal–Insulator–Semiconductor Devices with Composite Graphene‐Encapsulated Gates

P. Tsipas, S. A. Giamini, J. Marquez-Velasco, N. Kelaidis, D. Tsoutsou, K. E. Aretouli, E. Xenogiannopoulou, A. Dimoulas Institute of Nanoscience and Nanotechnology National Center for Scientifi c Research DEMOKRITOS 153 10 Athens , Greece E-mail: a.dimoulas@inn.demokritos. gr S. A. Giamini, K. E. Aretouli Section of Solid State Physics Department of Physics University of Athens 157 84 Athens , Greece J. Marquez-Velasco Department of Physics National Technical University of Athens 157 80 Athens , Greece E. K. Evangelou Department of Physics University of Ioannina 451 10 Ioannina , Greece