Miracle-dz/UniFAR-FTUs huggingface dataset:
Kültürel Farklılıkların Yönetiminde Kültürel Zekânın Rolü: Türk ve Yabancı Yöneticiler Üzerine Bir Araştırma

Bu calismanin temel amaci, yabanci yoneticilerin kulturel zekâsinin kulturel farkliliklarin yonetimi uzerindeki etkisini belirlemektir. Bu amac dogrultusunda Istanbul ve Antalya bolgesinde faaliyet gosteren 10 adet bes yildizli konaklama isletmesinin yabanci genel mudurleri ve onlara bagli olarak calisan 27 Turk departman muduruyle derinlemesine gorusme yapilmis ve yari yapilandirilmis gorusmelerle elde edilen verilerin betimsel analizinden sonra uc ana tema belirlenmistir. Calismada nitel arastirma desenlerinden kultur analizi kullanilmistir. Arastirma sonuclarina gore, yabanci yoneticilerin bilissel, motivasyonel ve davranissal kulturel zekâlarinin kulturel farkliliklarin yonetilmesini olumlu anlamda etkiledigi belirlenmis ve elde edilen bu sonuc da kulturel farkliliklarin yonetilmesinde kulturel zekânin onemli bir katkisinin oldugunu gostermistir. ABSTRACT The main purpose of this study is to determine the effect of foreign managers’ CQ on the management of cultural differences. For this purpose, the depth interview was conducted with 10 foreign hotel managers from five star hotels operating in Antalya and Istanbul regions and 27 Turkish department managers working depending on them and then three main themes identified after descriptive analysis of the data obtained from semi-structured interviews. In this study, cultural analysis was used. According to the research, it was found that foreign hotel managers’ cognitive, behavioural and motivational cultural intelligence affect positively the management of cultural differences and this result obtained showed that cultural intelligence has a significant contribution in the management of cultural differences.
Rumour detection based on deep hybrid structural and sequential representation networks

The rapid development of online social networks significantly facilitates the interaction of people and dramatically expands the diffusion sphere of information. Rumours, however, are not excluded from the list of beneficiaries. The widespread of rumours has lengthened the psychological distance and caused tremendous economic losses, and rumour detection has become an inescapable and challenging task of great practical importance. In this work, we propose a novel neural network architecture for rumour classification and early rumour detection of fine-grained categories. Unlike using tree-like modules for structural feature extraction, we build an information stream network and employ graph convolutional networks to explore the relations among the hierarchical nodes in the network. To enhance the sequential representation learning, the module of deep bilateral gated recurrent units is further incorporated to reveal the crucial features hiding behind the information flow. Moreover, to organically fuse the learned high-dimensionally structural and sequential features, attention mechanism is applied to automatically adjust the trainable weights. Comparative experiments on two real-world datasets demonstrate that our proposed model outperforms the state-of-the-art methods in the task of fine-grained rumour classification and is capable of identifying rumours at an early stage.
Area-changed capacitive accelerometer using 3-mask fabrication process

This paper presents an area-changed capacitive accelerometer using a 3-mask fabrication process. The accelerometer is designed as finger structures connected in parallel that have a differential capacitor arrangement. The movable electrodes are mounted on a proof mass of silicon and a pair of stationary electrodes of polysilicon is formed under the mass with a 3 μm air gap. The fabrication process utilizes silicon/glass anodic bonding and deep reactive ion etching (DRIE) for high aspect ratio etching. The simulated mass displacement change rate is 0.076 μm/g and the overall sensitivity is -0.04/μm. This type of accelerometer will be characterized for low-g as well as for medium-g applications.
Seven‐band folded‐loop chip antenna for WWAN/WLAN/WiMAX operation in the mobile phone

A chip antenna formed by using an FR4 chip base and a folded‐loop metal pattern embedded therein for internal mobile phone antenna application is presented. The folded‐loop metal pattern is embedded in two different layers inside the FR4 chip base to achieve a compact structure, and a coupling gap is introduced to successfully excite two wide operating bands at about 900 and 2000 MHz to cover GSM850/900/1800/1900/UMTS, 2.4‐GHz WLAN, and 2.5‐GHz WiMAX operations; that is, a seven‐band internal mobile phone antenna for covering WWAN/WLAN/WiMAX operation is obtained. The proposed chip antenna also occupies a small volume of 4 × 5 × 40 mm3 (0.8 cm3) and shows a low profile of 5 mm when mounted on the system circuit board of the mobile phone, making it suitable for thin mobile phone applications. The proposed chip antenna is studied and tested. The SAR effect of the antenna is also analyzed in the study. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 543–549, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24063
A Cascading Invulnerability Analysis for Multi-Layered Networks

A cascading failure model for multi-layered networks is established using the Coupled Map Lattices (CML) method, the invulnerability of multi-layered network under random attacks and intentional attacks is investigated. The simulation results show that compared with isolated networks, multi-layered networks are more fragile and dont exhibit the invulnerability to suppress cascading failures under random attacks. Furthermore, we find that decreasing the inter-layer coupling strength or enhancing the inner-layer coupling strength can significantly improve the invulnerability of the multi-layered networks to resist cascading failures.
Tractor Noise Exposure Levels for Bean-bar Riders

Tractor noise exposure levels were measured for bystanders as described by the Nebraska Tractor Test Laboratory and for bean-bar riders on ground surfaces of concrete, grass, and bean field. The influence of ground configurations, engine speeds, and gear selections on noise exposure levels were determined. The average sound level decreased as the ground cover changed from concrete to grass and then to bean field. An increase of 3 dBA was measured for engine speed changes from 1200 to 1500 rev/min and 1500 to 2000 rev/min. Gear selection was determined not to be significant for bystander exposures but bean-bar exposures increased as gear selection changed from first to fourth. Noise exposure levels experienced at the bean-bar position were, on average, 10 dBA higher than those measured at the bystander position. Results of the noise exposure measurements indicate that a hearing conservation program according to the Occupational Safety and Health Administration Compliance Manual (Petersen, 1979) should be established for bean-bar riders.
Multi-Agent Driven Resource Allocation and Interference Management for Deep Edge Networks

Sixth generation mobile networks (6G) may experience a huge evolution on vertical industry scenarios, where deep edge networks ($\mathbf{D}\mathrm{E}\mathrm{N}\mathrm{s}$) become an important network structure for the intelligent resource management of computing, caching and communications (3 C). In this paper, we propose two pervasive scenarios including single edge scene and multiple edge scenes for deep integration of wireless communications and computation depending on real-time adaptive collaboration. Specifically, in the single edge scenario, a novel deep reinforcement learning (DRL)-based framework is invoked for collaboratively optimizing the task scheduling, transmission power and CPU cycle frequency under metabolic channel conditions. Meanwhile, in order to alleviate interference in multiple edge scenarios, we propose a multi-agent aided deep deterministic policy gradient (MADDPG) algorithm to minimize total energy consumption and latency. Numerical experiments demonstrate these methods have substantial performance improvement in terms of saving system’s total overhead (i.e., energy consumption and delay) upon considering the task scheduling, transmission power, channel mutual interference and CPU cycle frequency against other conventional benchmarks.
The protective role of l-Carintine and vitamin E on gamma irradiated rat’s tongue mucosa

Background: The aim of this study was to investigate the antioxidant effect of L-carnitine (LC) against gamma-irradiation-induced oxidative damage in tongue of albino rats after total body irradiation with a single dose of 6 Gy. Materials and Methods: 48 adult rats were randomly divided into 3 groups of 16 animals each. Group I was irradiated with a single dose of 6 Gy. Group II received a daily i.p. injection of LC (250 mg/kg, i.p.) for 5 consecutive days and 1 h after the last dose, rats were irradiated with a single dose (6 Gy). Group III received a daily i.p. injection of LC (250 mg/kg, i.p.) and Vitamin E 40 mg/kg intramuscular daily for 5 consecutive days and 1 h after the last dose, rats were irradiated with a single dose (6 Gy). At day 7 and day 14 after treatment exposure, 8 rats from each group were sacrificed. Results: Administration of LC resulted in attenuation of the histological changes noticed in irradiated rats. The number of p53 positive nuclei significantly decreased in rats receiving LC alone or in combination with VE. Conclusion: LC and VE has shown positive effect in minimizing the epithelial atrophy of tongue mucosa after radiotherapy, which was emphasized by decreasing apoptotic activity in these tissues.
Pattern of Serum Vitamin D in Individuals with non-Alcoholic Fatty Liver and ‎its Relation to Metabolic Dysfunction

Fatma Rageh, Samar S. Ahmed, Shaymaa Abdelraheem Abdelhady, Mohamed Aboelmagd, Mohamed Farrag, Mariam Hassan, Naglaa. Abd Al Monem, Ahmed Abd Elrazik Mohamed, Dalia Ghareeb Department of Infectious Diseases, Gastroenterology and Hepatology, Faculty of Medicine, Suez University, Suez, Egypt. Department of Public Health and Community Medicine, Faculty of Medicine, Suez University, Suez, Egypt. Department of Clinical Pathology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt. Department of Endemic and Infectious Diseases, Faculty of Medicine, Suez Canal University, Ismailia, Egypt . Department of Critical Care Medicine, Faculty of Medicine, Misr University for Science and Technology, Cairo, Egypt . Department of Internal Medicine, Ahmed Maher Teaching Hospital, Cairo, Egypt. Department of Tropical Medicine, Faculty of Medicine, Zagazig University, Zagazig, Egypt. Department of Radiodiagnosis, Alazhar University, Assiut, Egypt. Department of Clinical Pathology, Faculty of Medicine, Suez University, Suez, Egypt.
Fast and accurate analysis for the directivity of circular‐shape antennas using optimal neural networks

This article describes the application of the optimal transfer function neural network methodology for fast and accurate function approximation of Q‐integrals, that appears in directivity expressions of circular‐shape antennas, such as loop, microstrip patch, and aperture in an infinite ground plane. These directivity expressions were revisited and linked in terms of Q‐type power‐radiation integrals. For each directivity approach using optimal neural networks–closed‐form expressions, series of Bessel functions, and adaptive Lobatto integration, the numerical results are presented and discussed in terms of accuracy and computational cost. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2721–2726, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22839
"Oxidative Stress of Pesticide Residues Leads to Male Infertility"

Stress of Pesticide Residues Leads to Male Oxidative stress is induced by various pesticides groups. Previous studies suggested that pesticide residues exert oxidative stress as a mechanism of their toxic actions in human or animal’s tissues. The ROS produced by metabolites of pesticides can induce disturbances in the oxidative homeostasis through abnormal redox state and depletion of antioxidant. Further, ROS may impair cellular proteins and DNA, and lead to cyto-lethality of the cells via disturbance of signaling pathways and inducing apoptosis pathway. Oxidative stress may be created by residues of and can induce multi reproductive organs dysfunction and male disability.
New laser communication and laser ranging of integration source system

With the development of laser transmission technology, the laser ranging and communication technology integration, miniaturization has become an important research direction nowadays. Based on laser ranging and communication integration of the requirements, design the1064nm fiber laser system, to suffice laser communication, laser ranging and beacon beam of the requirements at the same time could be provide the coherent detection to signal beam. The simulation experiment the 1064nm of free space optical communication in the laboratory, the coherent detection sensitivity is higher than -22dBm, the bit error rate 10−7 laser communication system. Multiple laser ranging to build coherent beam experimental realization of the coupling efficiency is higher than 70%, the laser output power of greater than 21W. The light source system is designed in this paper can realize the previous several lasers to complete the task, not only has the advantage of integration and miniaturization, through the simulation experiment could satisfy the communication requirements of power laser ranging ,and it is ideal light for laser transmission integration technology.
Ultimate Transformerless Boost DC-DC Converter for Renewable Energy Applications

In this article, a new high gain dc/dc converter is proposed that can be used with applications that require elevating output voltage to higher voltage-level such as PV applications. The proposed configuration is able to achieve high-voltage-gain, compared to any other transformerless topologies. The voltage stresses on the active MOSFETs are lower than half of the output voltage. Hence, low rated components are selected. The principles of operation of the two configurations are analyzed in details. Hardware prototype is implemented in the lab, in order to verify the analytical analysis of the topology.
DYNAMIC MODELLING AND CONFIGURATION STABILIZATION FOR AN X4-FLYER.

Abstract A model for the dynamics of a four rotor vertical take-off and landing (VTOL) vehicle known as an X4-flyer is proposed. The model incorporates the airframe and motor dynamics as well as aerodynamic and gyroscopic effects due to the rotors for quasi-stationary flight conditions. A novel control strategy is proposed for configuration stabilization of quasi-stationary flight conditions. The approach taken involves separating the rigid body (airframe) dynamics from the motor dynamics, developing separate control Lyapunov functions for the coupled systems and then bounding the perturbation error due to the interaction to obtain strong practical stability of the complete system.
The Effect of Liquidity Risk on Bank Performance: Moderating Effect of Board Size and Board Meeting

Bank performance is the most important thing to note and interesting to study because it plays a crucial role in a country's economy. This study aims to determine the effect of liquidity on bank performance and the moderating effect of the size and board meeting. The test in this study uses multiple linear regression on conventional banks listed on the Indonesia Stock Exchange from 2014 to 2019. The results of this study indicate that liquidity has a positive effect on bank performance, the size of the board of commissioners weakens the positive effect of liquidity on bank performance, and the number of board meeting weaken the positive effect of liquidity on bank performance.
SUPPLIER FAIRNESS PERCEPTION AS A MEDIATING FACTOR IN THE SUPPLIER ROLE PERFORMANCE—THE RELATIONSHIP QUALITY OF SUPPLY CHAIN

Suppliers play an important role in the agricultural product supply chain and their behavior could influence significantly relationship quality of supply chain. However, the role performance of agricultural product suppliers is usually ignored, which affects the decision-making establishment of relationship quality among supply chain members. In addition, fairness perception by agricultural product suppliers will also affect the quality of supply chain relationships. This work takes the agricultural product supply chain as the research object and investigates how the supplier role performance affects the relationship quality of supply chain. An empirical study is conducted through questionnaire-related data based on the model. The research results show that supplier role performance has a significant positive effect on the relationship quality, and the distributive fairness of supplier has a significant intermediary effect on both supplier role performance and relationship quality of the supply chain. In addition, price satisfaction has a positive impact on commitments when considering the fairness perception of suppliers.
Status and prospects for SiC power MOSFETs

SiC electronic device technology has made rapid progress during the past decade. In this paper, we review the evolution of SiC power MOSFETs between 1992 and the present, discuss the current status of device development, identify the critical fabrication issues, and assess the prospects for continued progress and eventual commercialization.
Driver’s Speed Reduction Behavior at Highway–Rail Intersections

Speed data as a component of driver behavior were measured at two sites where four-quadrant gates are under consideration. Previous research work assumed a constant speed approach for vehicles approaching and crossing a highway–rail intersection with four-quadrant gates. Video data collection techniques were used to statistically test whether vehicle speeds were constant or reduced on approach. The findings were that drivers do reduce their speed on approach to highway–rail intersections, which requires adjusting four-quadrant-gate timing to avoid vehicle entrapment.
Cyclical Learning Rates (CLR'S) for Improving Training Accuracies and Lowering Computational Cost

Prediction of different lung pathologies using chest X-ray images is a challenging task requiring robust training and testing accuracies. In this article, one-class classifier (OCC) and binary classification algorithms have been tested to classify 14 different diseases (atelectasis, cardiomegaly, consolidation, effusion, edema, emphysema, fibrosis, hernia, infiltration, mass, nodule, pneumonia, pneumothorax and pleural-thickening). We have utilized 3 different neural network architectures (MobileNetV1, Alexnet, and DenseNet-121) with four different optimizers (SGD, Adam, and RMSProp) for comparing best possible accuracies. Cyclical learning rate (CLR), a tuning hyperparameters technique was found to have a faster convergence of the cost towards the minima of cost function. Here, we present a unique approach of utilizing previously trained binary classification models with a learning rate decay technique for re-training models using CLR’s. Doing so, we found significant improvement in training accuracies for each of the selected conditions. Thus, utilizing CLR’s in callback functions seems a promising strategy for image classification problems.
Exploration of the best reference material on anelastic measurement by cyclic loading under high pressure

ABSTRACT Anelastic measurement by cyclic loading under high pressure has been developed by means of in situ X-ray observation at a synchrotron facility. In this method, the reference material is a key factor to precisely determine attenuation and moduli of unknown materials. We compared the performance of three types of reference materials (dense polycrystalline alumina, alumina single-crystal parallel to c-axis, and flexible graphite) under the pressure of 3 GPa and the temperature range between 1173 and 1373 K. The phase lags of strain between reference materials and samples show that the flexible graphite is less attenuated than dense polycrystalline alumina and alumina single crystal in various periods. The strain ratios show that the flexible graphite is much softer and can produce the measurable strain in the limited displacement. The flexible graphite, as reference material, is more excellent to detect the relatively lower energy dispersion of mantle minerals at high pressure.
Resource allocation for joint energy and spectral efficiency in cloud radio access network based on deep reinforcement learning

The rapid increase of user data traffic demand has promoted the telecommunication sector toward adopting a new generation, that is, fifth‐generation (5G). Cloud radio access network (CRAN) has gained considerable attention to satisfy the high traffic demand in the 5G network via deployment and intelligent management of multiple remote radio units (RRHs). However, optimizing the instantaneous network performance may lead to myopic decision‐making, such as excessive on/off switching of RRHs. This paper proposes a deep reinforcement learning (DRL) based framework, with the goal of maximizing the long‐term tradeoff between energy efficiency (EE) and spectral efficiency (SE). To this end, we specifically formulate the joint optimization problem as a Markov decision process (MDP) subject to the constraints on per‐RRH transmission power and user quality of service (QoS) demands. Meanwhile, considering the spatio‐temporal channel state information (CSI), we adopt machine learning (ML) techniques to extract generalized features before feeding them into the input of DRL. Combining with RRH status and QoS requirements, the proposed algorithm can learn the near‐optimal control strategy to turn on/off RRHs, followed by solving a power optimization problem. Simulation results reveal that the proposed method yields better performance as compared to myopic and DRL methods without considering CSI generalization.
The correlation between serum vitamin D and urinary tract infection in pregnant woman: A case control study

Background: Urinary tract infection (UTI) during pregnancy is common due to a unique state of physiological, immunological and hormonal changes, increased vesicoureteral reflux and urinary tract obstruction by the uterus. Vitamin D is important for human health, being more crucial during pregnancy. A third of the population are estimated to suffer from Vitamin D deficiency. Studies recently have been focused on the effect of vitamin D deficiency on the immune system, both the innate and adaptive. Vitamin D has been found to enhance the innate immune system Aim: We aim in this study to investigate the link between serum vitamin D levels and UTI in pregnant women. Materials and Methods: A case control study conducted between September 2020 and June 2021 at the prenatal care clinic of the Kasr Al-Ainy University Hospital. The study population consisted of 200 eligible pregnant women, screened and recruited from pregnant women seeking management for symptomatic UTI or for routine prenatal care. Results: In total of 200 pregnant women referred to prenatal care clinics, 100 pregnant women with UTI (case group) and 100 pregnant women without UTI (control group). Serum vitamin D levels were significantly lower in the cases compared to the control group (14.51 ± 5.32 versus 18.7 ± 7.05; p <0.001). The multivariate logistic regression analysis shows the association between adjusted risk factors (age, BMI, education, frequency of intercourse and serum vitamin D levels) and UTI. Deficient serum vitamin D levels was significantly associated with a risk of UTI in pregnant women (OR = 0.221; 95% CI: 0.100-0.487) after adjusting for these confounders Conclusion: Vitamin D deficiency has a significant and direct relationship with the prevalence of UTI in pregnant women. RCTs are needed to assess the optimum vitamin D threshold, and to assess levels that could prevent the complication of UTI in pregnant women.