Miracle-dz/UniFAR-FTUs huggingface dataset:
A power loss minimization strategy based on optimal placement and sizing of distributed energy resources

Due to the enhanced price of electricity, the gradual depletion of fossil fuels, and the global warming concerns, power loss minimization through deployment of distributed generators (DGs) has attracted significant attention in recent decades. This paper proposes a genetic algorithm (GA) based strategy for minimization of active and reactive power losses through optimal location and size of DGs. It also quantifies and tallies the total network power losses for the cases with random as well as optimal allocation of DGs. To validate the accuracy of the obtained results from GA, another nature‐inspired optimization algorithm, cuckoo search, is also deployed. The simulation results on IEEE 30 and 118 bus systems indicate that the proposed strategy not only can effectively reduce the total network active and reactive power losses but also lead to the improvement of network voltage profile.
The Impact of Green Practices in Value Chain on Firm Performance in the Context of a Developing Country

Background: Companies need to go green to remain relevant. Previous studies have confirmed that going green leads to superior performance for companies. However, research of green practices in a value chain requires further attention, especially in identifying the green value chain activities that lead to superior performance. A value chain analysis focuses on identifying competitive advantages of firms through five primary and four support activities. Methods: This study extends from Ong et al. (2019), who developed and validated the instrument for the nine green value chain activities, to also examine their effect on firm performance. The 207 valid responses in this study are collected through a questionnaire survey of the sampling frame consisting of companies in Bursa Malaysia and the Federation of Malaysian Manufacturers Directory. Results: The findings reveal that the companies’ green practices in primary value chain activities are higher than in the supporting value chain activities. Technological development is the activity with the lowest green attention among the nine value chain activities. Our multiple regression analysis shows that 25% of the variation in firm performance can be significantly explained by the nine green value chain activities. In terms of the individual green value chain activities, green technology development is the only activity that can positively and significantly explain firm performance. Conclusions: The findings of the study suggest that companies intending to build their green core competence need to engage in green technology development. Companies that go green for the purpose of complying to regulations and fulfilling minimum customers’ demands can still embed green practices into their green value chain without compromising their performance.
Low profile multiband microstrip patch antenna with frequency reconfigurable feature using PIN diode for S, C, X, and Ku band applications

The proposed work represents a simple and effective approach to achieve frequency tunability. The tunability is attained by the switching mechanism of the two PIN diodes. The biasing issue is reduced due to the usage of two PIN diodes. Simulation is carried by a high‐frequency structure simulator tool and compared with the fabricated structure for the authentication. Antenna fabrication is performed by low‐profile material FR‐4. Three modes were analyzed and compared in terms of resonating frequency, reflectance response, gain, bandwidth, and electric field based upon switching of PIN diodes. The proposed antenna structure provides a multiband response with the four frequency tunable bands along with maximum frequency tunability of 700 MHz and a minimum reflectance response of −28.22 dB. The proposed structure opens a new door of applications like satellite communication, military, and a sensor for the S, C, X, and Ku bands. The presented design was also compared with the previously published papers to identify the improvement.
Design and Realization of a Compact Multi-Resonator Bandpass Filter for C-Band Earth Station Antennas

The highly sensitive receiver stages of satellite earth stations must be protected from strong signals outside of the receive band in order to avoid intermodulation, overloading, or even gain compression. This can be achieved by a passive bandpass filter. The high requirements for selection and low insertion loss can only be fulfilled by a multi-resonator waveguide bandpass filter. Using a modern simulation tool based on field theory methods, we succeeded to design a 12-pole filter for C-band featuring fairly compact dimensions by two-fold folding in longitudinal direction. The high precision of the simulation method yields a widely tuning-free design. The filter insertion loss can be estimated during simulation using the well-known power loss method. Index Terms – Satellite Earth Stations, Receiver, Intermodulation, Bandpass Filter, Waveguide, Simulation
Centralized Machine Learning Versus Federated Averaging: A Comparison using MNIST Dataset

A flood of information has occurred with the rise of the internet and digital devices in the fourth industrial revolution era. Every millisecond, massive amounts of structured and unstructured data are generated; smartphones, wearable devices, sensors, and self-driving cars are just a few examples of devices that currently generate massive amounts of data in our daily. Machine learning has been considered an approach to support and recognize patterns in data in many areas to provide a convenient way to other sectors, including the healthcare sector, government sector, banks, military sector, and more. However, the conventional machine learning model requires the data owner to upload their information to train the model in one central location to perform the model training. This classical model has caused data owners to worry about the risks of transferring private information because traditional machine learning is required to push their data to the cloud to process the model training. Furthermore, the training of machine learning and deep learning models requires massive computing resources. Thus, many researchers have jumped to a new model known as "Federated Learning". Federated learning is emerging to train Artificial Intelligence models over distributed clients, and it provides secure privacy information to the data owner. Hence, this paper implements Federated Averaging with a Deep Neural Network to classify the handwriting image and protect the sensitive data. Moreover, we compare the centralized machine learning model with federated averaging. The result shows the centralized machine learning model outperforms federated learning in terms of accuracy, but this classical model produces another risk, like privacy concern, due to the data being stored in the data center. The MNIST dataset was used in this experiment.
A Y-Like Adaptive Antenna Array and its Performance Simulation

A Y-like adaptive antenna array is presented.The simulation processes of its radiation pattern,the SINR of output signals(signal-to-interference and noise ratio) and the adaptive processing gain are introduced.With the same signal environment and using the same adaptive algorithm,the performance of this antenna array is compared to the other two antenna arrays——the uniform linear array and the uniform circular array.The result shows that,using this antenna array,the SINR of output signals and the adaptive processing gain are all approximate to a uniform linear array but better than a uniform circular array.At the same time,it can reduce the size of the uniform linear array greatly while it can help to overcome the defect of the uniform linear array.When using a uniform linear array,the two chief wave beams appear symmetrically,and the interference signal which is symmetric to the desired signal can't be canceled.
Design of the 1MHz One-Cycle Controlled Synchronous Buck Converter

An effective way to improve the power density of a power converter is to increase the switching frequency. The switching frequency of the traditional one-cycle controlled chip IR1150 is limited to 200kHz. Therefore,an implementation scheme of a one-cycle controlled synchronous buck converter with 1MHz switching frequency was proposed. A combination of UC3825 and TPS28225 was used in the control circuit with UC3825 as the main chip and TPS28225 as the drive chip. The working principles of the system were analyzed and the design guidelines were presented as to the main switching device,synchronous rectifying device,output filter and the integrator. A prototype with 1. 8V and 5A output was made,and its efficiency could rate up to 80. 74 percent. The experimental results verified the effectiveness of the proposed scheme.
Enhanced Hypoxia-Associated Genes in Impaired Contractility From Bladder Outlet Obstruction

Background Hypoxia damages the bladder wall and contributes to the initiation of bladder dysfunction. The change of hypoxia is not well known in impaired bladder contractility caused by long-term bladder outlet obstruction (BOO). We aimed to find out whether hypoxia of bladder tissue is present and what signaling mechanisms are involved in the decompensated bladder in BOO. Methods Twenty 6-week-old female Sprague-Dawley rats were divided into 2 groups, 10 rats each: group 1, sham operation; group 2, BOO for 8 weeks. Eight weeks after the onset of BOO, we did cystometric evaluation and processed polymerase chain reaction (PCR) array for hypoxia pathway using bladder tissues. The PCR array consists of 84 genes known to be involved in the hypoxic response, cell differentiation, and metabolism. We did quantitative PCR (qPCR) and immunohistochemical staining of bladder tissue for hypoxia. Results Eight genes were at least 2-fold upregulated and 3 genes were at least 2-fold downregulated in BOO group, compared with the sham operation group. The up-regulated genes (fold change) belonging to the hypoxia-inducible factor (HIF) 1 interactor included Cdkn2a (11.0), and the down-regulated genes belonging to HIF and co-transcription factors included Hif3a (−39.6) and Per1 (−5.1) by BOO. Genes influenced each other by means of TGFβ1, TNF, and TP53. Conclusion Hypoxia genes were increased in impaired contractility because of long-term BOO. The gene expression profiles could explain the molecular mechanisms of hypoxia in impaired contractility because of long-term BOO.
Assessing the biological effects of microwave irradiation on human semen in vitro and determining the role of seminal plasma polyamines in this process

The aim of the present study was to investigate the influence of millimeter-wave electromagnetic (MW) irradiation on normal and pathological human sperm in vitro, and to evaluate a possible role of polyamines (PA) in this process. The stability of sperm membranes, the number of apoptotic gametes, and the content of seminal plasma PA in the ejaculates of fertile and subfertile men were compared before and after short-term MW electromagnetic exposure in vitro. The ejaculate samples were collected from healthy donors [n=25, age 22-38 years old (y.o.), average age 30.6±1.1 y.o. (mean ± SEM)] and from subfertile men (n=78, age 25-48 y.o., average age 34.1±0.8 y.o.) and exposed to MW radiation. The electromagnetic field had a wavelength of 7.1 mm, a frequency of 42.194 GHz and an exposure time of 20 min. The fragility of sperm membranes was evaluated by their resistance to sodium chloride solution (Milovanov test) and to acetic acid (Joel test). Acrosin activity was assayed spectrophotometrically. Apoptosis was determined by the externalization of phosphatidylserine on the outer side of the sperm membrane and propidium iodide staining. The PA levels were determined by agar gel electrophoretic fractionation. An increase in the resistance of sperm membranes, a decrease in acrosin activity, a decrease in the number of apoptotic gametes and a decrease in the seminal plasma PA concentrations were found after exposure of the native human sperm to low-intensity MW irradiation. Two types of reactions were revealed for the subfertile samples. The results revealed positive bio-effects of specific microwaves on the human semen and the participation of PA in the realization of these effects.
Training teachers of English as a medium of instruction: The use of metadiscourse devices

This paper explores the outcomes of training pragmatics identifying the metadiscourse devices that are used by the content teachers enrolled on a course leading to a university qualification for teaching in English within the context of a Spanish-speaking country. Specifically, I focus on the analysis of the frequencies of the textual and interactional devices used by university lecturers during an online English as a Medium of Instruction (EMI) course with the aim of identifying the use of devices and how it could affect in their profession. The method followed involved the analysis of one hundred teaching units. The first step of this analysis was to collect the final projects written during three academic years by EMI university lecturers who were enrolled on an online course at Universitat Politècnica de València. I then identified the frequencies of textual and interactional devices, analysed their functions in the teaching unit and compiled examples. The results were later compared with the pragmatic training received during the training course and I also proposed some guidelines to help EMI teachers improve the use of metadiscourse devices. Finally, conclusions that could be useful for EMI trainers and trainees were drawn.
Thiopurine-S-Methyltransferase Gene Polymorphism and Drug-related Toxicity in Children Treated for Acute Leukemia and Non-Hodgkin’s Lymphoma

©Copyright 2022 by Ege University Faculty of Medicine, Department of Pediatrics and Ege Children’s Foundation The Journal of Pediatric Research, published by Galenos Publishing House. Ad dress for Cor res pon den ce Eda Ataseven, Ege University Faculty of Medicine, Department of Pediatrics, Division of Pediatric Hematology and Oncology, İzmir, Turkey Phone: +90 232 390 23 81 E-mail: eda.ataseven@ege.edu. tr ORCID: orcid.org/0000-0003-3419-5814 Re cei ved: 23.09. 2021 Ac cep ted: 23.11. 2021 Ori gi nal Ar tic le DO I: 10.4274/jpr.galenos. 2021.35492 J Pediatr Res 2022;9(1):60-65
Effectiveness of the heartbeat interval error and compensation method on heart rate variability analysis

Abstract The purpose of this study is to evaluate the effectiveness of heartbeat error and compensation methods on heart rate variability (HRV) with mobile and wearable sensor devices. The HRV analysis extracts multiple indices related to the heart and autonomic nervous system from beat‐to‐beat intervals. These HRV analysis indices are affected by the heartbeat interval mismatch, which is caused by sampling error from measurement hardware and inherent errors from the state of human body. Although the sampling rate reduction is a common method to reduce power consumption on wearable devices, it degrades the accuracy of the heartbeat interval. Furthermore, wearable devices often use photoplethysmography (PPG) instead of electrocardiogram (ECG) to measure heart rate. However, there are inherent errors between PPG and ECG, because the PPG is affected by blood pressure fluctuations, vascular stiffness, and body movements. This paper evaluates the impact of these errors on HRV analysis using dataset including both ECG and PPG from 28 subjects. The evaluation results showed that the error compensation method improved the accuracy of HRV analysis in time domain, frequency domain and non‐linear analysis. Furthermore, the error compensation by the algorithm was found to be effective for both PPG and ECG.
Additive Production Management in COVID-19 Pandemic

Purpose: The article aims to discuss the authors ' own experiences and literature review on the topic of small communities of additive production in COVID-19 conditions and propose an improvement of emergency procedures in situations of global threat. Design/Methodology/Approach: Its object is organizing and analyzing the experience gained during the production of healthcare products in 3D technology during the first wave of the COVID-19 pandemic. Findings: Further objects include identifying problems, proposing solutions, signaling problems to be solved, improving the efficiency of managing the production and distribution of health protection products, and improving the energy efficiency of the production process. Practical Implications: Structured conclusions and the resulting proposals for activities in the production and distribution of health protection products in situations of global life threat formulated further research goals. Originality/Value: An in-depth analysis of the literature on the subject and the research results presented in the article indicate the need for further research on the concept of optimization of the production process in the context of the temporary market demand for specific products. The article presents a proposal for a model that allows the use of incremental techniques and cost optimization depending on the market demands.
Different HSP90 Inhibitors Exert Divergent Effect on Myxoid Liposarcoma In Vitro and In Vivo

The therapeutic options for patients with relapsed or metastatic myxoid liposarcoma (MLS) remain scarce and there is currently no targeted therapy available. Inhibition of the HSP90 family of chaperones has been suggested as a possible therapeutic option for patients with MLS. However, the clinical effect of different HSP90 inhibitors vary considerably and no comparative study in MLS has been performed. Here, we evaluated the effects of the HSP90 inhibitors 17-DMAG, AUY922 and STA-9090 on MLS cell lines and in an MLS patient-derived xenograft (PDX) model. Albeit all drugs inhibited in vitro growth of MLS cell lines, the in vivo responses were discrepant. Whereas 17-DMAG inhibited tumor growth, AUY922 surprisingly led to increased tumor growth and a more aggressive morphological phenotype. In vitro, 17-DMAG and STA-9090 reduced the activity of the MAPK and PI3K/AKT signaling pathways, whereas AUY922 led to a compensatory upregulation of downstream ERK. Furthermore, all three tested HSP90 inhibitors displayed a synergistic combination effect with trabectidin, but not with doxorubicin. In conclusion, our results indicate that different HSP90 inhibitors, albeit having the same target, can vary significantly in downstream effects and treatment outcomes. These results should be considered before proceeding into clinical trials against MLS or other malignancies.
Challenges in managing cross-cultural virtual project teams

The biggest challenge workers in a virtual workplace will face is creating a boundary between work and home since the two spaces are now combined. Namely, completely understanding and being able to follow correct procedures and processes associated with a company can be challenging if workers are not physically subjected to the culture of the company on a daily basis. Overcoming these challenges is not only the job of the employee, but for managers as well. Managers in a virtual organisation need to be able to identify these challenges, and create programs in which their virtual workforce will feel like they are valued and part of a greater cause, said authors. The authors also pointed out that the training the culture and standards set by management in a virtual workforce will be reflected within their employees’ motivation and productivity. The paper concludes that global project management can succeed through culturally-aware management, cross cultural communication and more network within and among companies.
Study on dynamic response of high- piled wharf under ship impact load considering pile-soil interaction

Dynamic magnification effect of high-piled wharf under ship impact load can not be ignored. According to the theoretic derivation and dynamic time-history simulation method,the research on dynamic response and amplification effect of high-piled wharf excited by ship impact was carried out. From the study,the accurate structural dynamic response function,amplification factor,the time history type of ship impact and its duration are proposed,and also the dynamic amplification principle of high-piled wharf considering pile-soil interaction is acquired. Meanwhile,the influence of pile-soil interaction on structural amplification is provided. The results of calculation and analysis prove that the time history of ship impact load can be approximate to half sine and its duration is about 1. 0second. And the amplification factor of high-piled wharf built on soft-soil foundation for ship impact load considering pile-soil interaction is about 2. 0. Based on the calculation,it is clear that the results is not safe for high-piled wharf if not considering pile-soil interaction,and the fixed point method should not be used in calculating dynamic response of high-piled wharf located on soft-soil foundation The conclusions above can provide a basis for engineerto select ship impact load reasonably and finite element calculation.
Upscaling and downscaling Monte Carlo ensembles with generative models

Monte Carlo methods are widespread in geophysics and have proved to be powerful in nonlinear inverse problems. However, they are associated with significant practical challenges, including long calculation times, large output ensembles of Earth models, and difficulties in the appraisal of the results. This paper addresses some of these challenges using generative models, a family of tools that have recently attracted much attention in the machine learning literature. Generative models can, in principle, learn a probability distribution from a set of given samples and also provide a means for rapid generation of new samples which follow that approximated distribution. These two features make them well-suited for application to the outputs of Monte Carlo algorithms. In particular, training a generative model on the posterior distribution of a Bayesian inference problem provides two main possibilities. First, the number of parameters in the generative model is much smaller than the number of values stored in the ensemble, leading to large compression rates. Second, once trained, the generative model can be used to draw any number of samples, thereby eliminating the dependence on an often large and unwieldy ensemble. These advantages pave new pathways for the use of Monte Carlo ensembles, including improved storage and communication of the results, enhanced calculation of numerical integrals, and the potential for convergence assessment of the Monte Carlo procedure. Here, these concepts are initially demonstrated using a simple example that scales into higher dimensions. They are then applied to a large ensemble of shear-wave velocity models of the core-mantle boundary, recently produced in a Monte Carlo study. These examples demonstrate the effectiveness of using generative models to approximate posterior ensembles, and indicate directions to address various challenges in Monte Carlo inversion.