Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of electric vehicles and realistic dish‐Stirling solar thermal system on combined voltage and frequency regulation of multiarea hydrothermal system

The effective and reliable operation of an interconnected power system (PS) is a major concern, because of the large amount of power contribution from the intermittent renewable energy sources to the power grid. Energy storage (ES) devices are employed to enhance the reliability of the PS operation. Electric vehicles (EVs) are a novel type of distributed ES device that may be utilized to compensate for power imbalances. This paper discusses the participation of EVs for combined frequency and voltage control under conventional PS along with a thermal, hydro, realistic dish‐Stirling solar thermal system (RDSTS). Appropriate physical constraints such as governor dead band and generation rate constraints are equipped with thermal and hydro plants, and communication delay between the generating unit and load dispatch center is considered. An aggregate EVs model, RDSTS, and a new cascade controller named fractional‐order proportional‐derivative with filter coefficient cascaded with tilt‐integral‐derivative (CFOPDN‐TID) controller are provided in all areas for various studies. An artificial flora algorithm is employed to determine the optimal value of the various controller parameters under several scenarios. The system dynamics of the CFOPDN‐TID controller outperform the proportional‐integral‐derivative (PID) and TID controllers under various conditions. The incorporation of EVs improves the system performance in terms of less settling time, and peak deviation, and reduce oscillations. The system performance degrades with increases in the communication time delay of the EVs. The integration of RDSTS into the system provides better dynamics than the dish‐Stirling solar thermal system. Numerous studies have been conducted to validate the robustness of the proposed CFOPDN‐TID controller.
Internationalization of the Automotive Industry by Extending IOL3 model: A Case Study of Geely Automobile

Chinese companies have been heavily expanding their businesses globally during recent decades. In the literature, studies examine the dynamics behind their expansion strategies and build multinational Chinese companies called 'dragon multinationals. ’ Pointing out the shortcomings of the ownership-locationinternalization (OLI) paradigm to explain the internationalization of these dragon multinationals, the linkage-leverage-learning (LLL) model was introduced by Mathews (2006). It was extended to the inward linkages-outward linkages-leveragelearning (IOL3) model by Lu et al. (2017). This paper aims to investigate forwarded linkages to understand how these linkages are utilized during further expansions of Chinese multinational companies (MNCs) in developing countries. Inward linkages that Geely gained through earlier acquisitions were studied through secondary sources. Then, Geely's latest acquisition of Proton was examined to identify forwarded linkages. Interviews were conducted with the management of Proton and its suppliers to define sources of know-how transferred to Proton and classify them as direct and indirect forwarded linkages.
Fabrication of Doxorubicin-Loaded Lipid-Based Nanocarriers by Microfluidic Rapid Mixing

Doxorubicin (Dox) is a widely known chemotherapeutic drug that has been encapsulated into liposomes for clinical use, such as Doxil® and Myocet®. Both of these are prepared via remote loading methods, which require multistep procedures. Additionally, their antitumor efficacy is hindered due to the poor drug release from PEGylated liposomes in the tumor microenvironment. In this study, we aimed to develop doxorubicin-loaded lipid-based nanocarriers (LNC-Dox) based on electrostatic interaction using microfluidic technology. The resulting LNC-Dox showed high loading capacity, with a drug-to-lipid ratio (D/L ratio) greater than 0.2, and high efficacy of drug release in an acidic environment. Different lipid compositions were selected based on critical packing parameters and further studied to outline their effects on the physicochemical characteristics of LNC-Dox. Design of experiments was implemented for formulation optimization. The optimized LNC-Dox showed preferred release in acidic environments and better therapeutic efficacy compared to PEGylated liposomal Dox in vivo. Thus, this study provides a feasible approach to efficiently encapsulate doxorubicin into lipid-based nanocarriers fabricated by microfluidic rapid mixing.
Analysis of Rural Disparities in Ultrasound Access

Purpose This work aims to conduct a geospatial analysis of recent ultrasound access and usage within the United States, with a particular focus on disparities between rural and urban areas. Methods/Materials Multiple public datasets were merged on a county level, including US Department of Agriculture economic metrics and Centers for Medicare Services data using the most recent years available (2015-2019). From these databases, 39 total variables encompassing the socioeconomic, health, and ultrasound characteristics of each county were obtained. Current Procedural Terminology (CPT) codes incorporated included ultrasound-guided procedures and diagnostic exams. Three thousand eleven counties were included. The combined dataset was then exported to GeoDa for network-based analysis and to produce map visualizations. To identify statistically significant (p < 0.05) hotspots and coldspots in point-of-care ultrasound (POCUS) prevalence, Moran’s I was used. Choropleth maps were created for visualization. ANOVA was run across the four Moran’s I groups for each of 39 variables of interest. Results A total of 30,135,085 ultrasound-related CPT codes were billed to Medicare over 2015-2019, with 26.55% of codes being ultrasound-guided procedures and 73.45% being diagnostic exams. 38.84% of rural counties had access to POC ultrasound compared to 88.56% of metropolitan counties and 74.19% of counties overall. Hotspots of POCUS were in Southern California and the Eastern US (average of 1,441 per 10,000 Medicare members per year). Coldspot areas were seen in the Great Plains and Midwest (average of 7.43 per 10k Medicare members per year). Hotspot clusters, when compared to coldspot clusters, were significantly (p < 0.001) more dense (703.6 to 14.9 people per square mile), more urbanized (3.5 to 7.1 Rural-Urban Continuum (RUC)), more college-educated (25.1% to 20.0%), more likely to have an Emergency Department (ED) visit (725.8 to 616.9 visits per 1,000 Medicare members), more likely to be obese (19.0% to 12.9%), less likely to be uninsured (10.1% to 13.0%), had more Black representation (8.5% to 3.4%), and less Hispanic representation (2.6% to 5.5%). Conclusions Ultrasound access and usage demonstrate significant geospatial trends across the United States. Hotspot and coldspot counties differ on several key sociodemographic and economic variables.
Investigation of Interconnect and Device Designs for Emerging Post-MOSFET and Beyond Silicon Technologies

The integrated circuit industry has been pursuing Moore’s curve down to deep nanoscale dimensions that would lead to the anticipated delivery of 100 billion transistors on a 300 mm die operating below 1V supply in the next 5-10 years. However, the grand challenge is to reliably and efficiently take the full advantage of the unprecedented computing power offered by the billions of nanoscale transistors on a single chip. To mitigate this challenge, the limitations of both the interconnecting wires and semiconductor devices in integrated circuits have to be addressed. At the interconnect level, the major challenge in current high density integrated circuit is the electromagnetic and electrostatic impacts in the signal carrying lines. Addressing these problems require better analysis of interconnect resistance, inductance, and capacitance. Therefore, this dissertation has proposed a new delay model and analyzed the time-domain
HUBUNGAN KESELAMATAN DAN KESEHATAN KERJA (K3) DENGAN KINERJA KARYAWAN PADA PT. UOB INDONESIA CABANG BENGKULU

Ida Ayu Er. Meytha Gayatri; The purpose of this study was to determine the relationship of Occupational Health and Safety (K3) place. the performance of employees in the branch of PT. UOB Indonesia Bengkulu Branch. From the calculation of the Spearman rank correlation coefficient analysis of the amount of 0.89 or 0.80 to 1.000 rho in a very strong, which means that the relationship between the variables of Occupational Health and Safety (K3) with the performance of employees of PT. UOB Indonesia Bengkulu Branch relate very strong. Hypothesis testing results, from 14.863 t and t table is 2.0003 or (14.863> 2.0003), then Ho is rejected and Ha accepted means there is a significant relationship between occupational safety and health (K3) with the performance of employees at PT. Branch UOB Indonesia Bengkulu branch. Key Word: Health and Safety (K3), Officer Performance
The relevance of banks to the European stock market

Banks have always played an ambivalent role in financial markets. On the one hand, they provide essential services for the market; on the other hand, problems in the banking sector can send shock waves through the entire economy. Given this prominent role, it is not surprising that Pereira and Rua [2018. “Asset Pricing with a Bank Risk Factor. ” Journal of Money, Credit and Banking 50(5): 993–1032. doi:10.1111/jmcb.12473] found that the health of the banking sector exerts an influence on stock returns in the US. Understanding the relationship between banks and their impact on the asset prices of non-financials is essential to evaluate the risk emanating from an unhealthy banking sector and should be considered in new regulatory requirements. The aim of this study is to determine if the health of European banks is of such importance for the European stock market so that spillover effects are visible. Our results show that none of our banking-health variables have explanatory power on the cross-section of European stock returns. These findings contrast those for the US. The reasons may be manifold, from an unimportant liquidity provisioning channel over reduced room for actions due to regulatory requirements up to a moral hazard situation in Europe, where investors strongly rely on the governmental bailouts of distressed banks.
Role of Build Orientation on Quasi-Static and Dynamic Fracture Responses of Additively Manufactured Alf357 and Alsi10mg Alloys

In this work, a popular additive manufacturing (AM) aluminum alloy - AlSi10Mg and a new AM aluminum alloy - AlF357 are fabricated using Laser-Powder Bed Fusion (L-PBF) approach to evaluate quasi-static and dynamic fracture behaviors. Four build orientations - horizontal, vertical, flat, and diagonal - are assessed. A Kolsky pressure bar apparatus along with ultrahigh speed photography is used to carry out the dynamic fracture experiments. In-plane surface displacements near cracks are measured using Digital Image Correlation (DIC) to evaluate the fracture parameters directly. A hybrid experimental-numerical approach that combines DIC measurements and finite element analysis is implemented to extract critical energy release rate and crack growth resistance behaviors. The effect of build orientation is found to be significant on the quasi-static fracture behavior with the horizontal and flat orientations having the best and worst fracture responses, respectively. Under dy- namic loading conditions, however, the effects of build orientation are marginal. Both AlF357 and AlSi10Mg show strain-rate sensitivity and change in fracture mechanism under dynamic loading conditions with ~175% and ~200% increase in critical energy release rate. AlF357 consistently outperforms AlSi10Mg in both quasi-static (~30%) and dynamic (~10%) loading conditions.
Anisotropic fractal metasurface‐based antenna with contrary beams

The capabilities of the dual‐band bidirectional dipole antenna to couple near‐field with the metasurface have been investigated both numerically and experimentally. By properly positioning the radiating element with respect to the metasurface, the proposed antenna can emit in forward or in the backward direction. It is shown that the array of fractal closed ring resonators formed as the anisotropic metasurface can be excited to generate the opposite angular beams even though the reflection coefficient of the metasurface is high with the same value of 0.8. This is due to the fact that the conversion of evanescent to propagation waves from transmitting closely antenna to the far‐zone existed. To our knowledge, this is the first report for a metasurface applied to dualband antenna with contrary beams. This proposed metasurface‐based antenna concept may present new opportunities in the design of multi‐functional antennas. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:715–720, 2017
Investigating antecedents of mobile payment systems’ decision-making: a mediated model

Purpose The increase in mobile telephone penetration has offered new opportunities for technology to improve payment operations all over the world. Little research has examined the issues related to the decision-making (DM) of mobile payment systems usage in the Jordanian context. The purpose of this study is to examine the factors that may have an influence on the adoption of mobile payment systems. This study has empirically tested the expanded unified theory of acceptance and use of technology (UTAUT2) together with awareness (AW), trust (TR), security (SE) and privacy (PR) as independent variables to explain the mobile payment system adoption in Jordan. Design/methodology/approach In total, 270 employees participated in a field survey questionnaire from the public sector in Amman city, the capital city of Jordan. Data were analyzed through a quantitative approach of partial least squares–structural equation modeling. Findings The results mainly showed that the determinants of DM to use mobile payment system are price value, social influence, performance expectancy, AW and TR. All of these determinants explained 60.2% of the variation of DM. In total, 72.2% has been explained as the TR to use m-payment system by SE and PR. Furthermore, the results revealed that TR mediates the association between SE as well as PR and the DM to use mobile payment system. Originality/value Interestingly, these new variables were found to be important and contribute to the UTAUT2 model. Consequently, the decision-makers in the Central Bank of Jordan should consider all these factors when re-upgrading a Jordan Mobile Payment system in the near future.
Simultaneous Quantification of Anisotropic Microcirculation and Microstructure in Peripheral Nerve

Peripheral nerve injury is a significant public health challenge, and perfusion in the nerve is a potential biomarker for assessing the injury severity and prognostic outlook. Here, we applied a novel formalism that combined intravoxel incoherent motion (IVIM) and diffusion tensor imaging (DTI) to simultaneously characterize anisotropic microcirculation and microstructure in the rat sciatic nerve. Comparison to postmortem measurements revealed that the in vivo IVIM-DTI signal contained a fast compartment (2.32 ± 0.04 × 10−3 mm2/s mean diffusivity, mean ± sem, n = 6, paired t test p < 0.01) that could be attributed to microcirculation in addition to a slower compartment that had similar mean diffusivity as the postmortem nerve (1.04 ± 0.01 vs. 0.96 ± 0.05 × 10−3 mm2/s, p > 0.05). Although further investigation and technical improvement are warranted, this preliminary study demonstrates both the feasibility and potential for applying the IVIM-DTI methodology to peripheral nerves for quantifying perfusion in the presence of anisotropic tissue microstructure.
Impact of word error rate on driving performance while dictating short texts

This paper describes the impact of speech recognition word error rate (WER) on driver's distraction in the context of short message dictation. A multi-modal dictation and error correction system was used in a simulated driving environment (Lane Change Test, LCT) to dictate text messages with prescribed semantic content. Driving accuracy was measured using several objective statistics produced by the LCT simulator. We report results for three datasets: 28 LCT trips by native US-English speakers at 40km/h, 23 more trips at 60km/h which had noise added in order to artificially increase WER levels and 22 LCT trips at 60km/h performed by non-native accented speakers. For the two datasets that used 60km/h we observed a moderate correlation between the driver's WER and driving performance statistics such as the mean deviation from ideal track (MDev) and the standard deviation of lateral position (SDLP). This correlation reached statistical significance for all of these statistics in the native dataset, and was significant for the overall SDLP in the non-native dataset. Additionally, we observed that higher WER levels lead to significantly lower message throughput and to significantly lower quality of sent messages, esp. for non-native speakers.
A Novel Road Marking Detection and Recognition Technique Using a Camera-based Advanced Driver Assistance System

Advanced Driver Assistance System (ADAS) was widely learned nowadays. As crucial parts of ADAS, lane markings detection, as well as other objects detection, have become more popular than before. However, most methods implemented in such areas cannot perfectly balance the performance of accuracy versus efficiency, and the mainstream methods (e.g. Machine Learning) suffer from several limitations which can hardly break the wall between partial autonomous and fully autonomous driving. This thesis proposed a real-time lane marking detection framework for ADAS, which included 4-extreme points set descriptor and a rule-based cascade classifier. By analyzing the behavior of lane markings on the road surface, a characteristic of markings was discovered, i.e., standard markings can sustain their shape in the perpendicular plane of the driving direction. By employing this feature, a 4-extreme points set descriptor was applied to describe the shape of each marking first. Specifically, after processing Maximally Stable Extremal Region (MSER) and Hough transforms on a 2-D image, several contours of interest are obtained. A bounding box, with borders parallel to the image coordinate, intersected with each contour at 4 points in the edge, which was named 4-extreme points set. Afterward, to verify consistency of each contour and standard marking, some rules abstracted from construction manual are employed such as Area Filter, Colour Filter, Relative Location Filter, Convex Filter, etc. To reduce the errors caused by changes in driving direction, an enhanced module was then introduced. By tracking the vanishing point as well as other key points of the road net, a method for 3-D reconstruction, with respect to the optical axis between vanishing point and camera center, is possible. The principle of such algorithm was exhibited, and a description about how to obtain the depth information from this model was also provided. Among all of these processes, a key-point based classification method is the main contribution of this paper because of its function in eliminating the deformation of the object caused by inverse perspective mapping.
The Amazon‐Orinoco Barrier as a driver of reef‐fish speciation in the Western Atlantic through time

The Amazon‐Orinoco plume is the major biogeographical barrier between the Great Caribbean and the Brazilian Province. No study has so far addressed the influence of this barrier in a broad chrono‐phylogenetic context. Here, we evaluate the effects of the Amazon‐Orinoco plume barrier on the patterns of diversification of Western Atlantic reef fishes through time.
Quantitative Evaluation of Psychological Tolerance under the Haze: A Case Study of Typical Provinces and Cities in China with Severe Haze

The interplay of specific weather conditions and human activity results due to haze. When the haze arrives, individuals will use microblogs to communicate their concerns and feelings. It will be easier for municipal administrators to alter public communication and resource allocation under the haze if we can master the emotions of netizens. Psychological tolerance is the ability to cope with and adjust to psychological stress and unpleasant emotions brought on by adversity, and it can guide human conduct to some extent. Although haze has a significant impact on human health, environment, transportation, and other factors, its impact on human mental health is concealed, indirect, and frequently underestimated. In this study, psychological tolerance was developed as a psychological impact evaluation index to quantify the impact of haze on human mental health. To begin, data from microblogs in China’s significantly haze-affected districts were collected from 2013 to 2019. The emotion score was then calculated using SnowNLP, and the subject index was calculated using the co-word network approach, both of which were used as social media evaluation indicators. Finally, utilizing ecological and socioeconomic factors, psychological tolerance was assessed at the provincial and prefecture level. The findings suggest that psychological tolerance differs greatly between areas. Psychological tolerance has a spatio-temporal trajectory in the timeseries as well. The findings offer a fresh viewpoint on haze’s mental effects.
Dual Wideband CPW Fed Dieletric Resonator Antenna

This paper presents the design of a hybrid dual wideband dielectric resonator antenna. The DRA is parallelepiped in shape and is fed by a coplanar wave guide slot. The slot acts both as the feeding structure and an efiective radiator. A substrate with "r =2.5 has been chosen for etching the slot and the DRA consists of material with "r =6 . The structure parameters are optimized using HFSS(v.11) to get two independent operating frequency range. Performance parameters such as resonant frequencies, impedance parameters and radiation pattern have been studied. The simulated bandwidths are 23% and 12.9% in the two bands. The antenna has been fabricated and measured results are awaited for.
Self-Disclosure by Childhood Cancer Survivors and Its Psychological Effects

The long-term survival rates for childhood cancers have continued to rise, making it critical to understand the long-term outcomes and the follow-up needs of those diagnosed with childhood cancer. Long-term survival is associated with both secondary illnesses and psychological distress; however, the self-disclosure of one’s history of childhood cancer could promote self-care and social support among childhood cancer survivors. Nevertheless, many childhood cancer survivors are reluctant to self-disclosure, particularly in Japan, as its cultural context emphasizes collective homogeneity rather than individualism. This qualitative, descriptive study aimed to understand the experiences of adult childhood cancer survivors regarding their self-disclosure of their disease history to their lovers, friends, and community. Between October 2017 and November 2018, 13 adults (9 men, 4 women; age range: 20–39 years) who had been diagnosed with childhood cancer and were five years or more past their last treatment participated in semi-structured interviews. A thematic analysis was conducted using the Steps for Coding and Theorization (SCAT). From the interview data, three concepts (i.e., Increased Desire for Self-Disclosure, Joy at Having Enriched the Lives of Themselves and Others, and Increased Expectations for Relationship Change and Disappointment), along with eight themes, were extracted. Self-disclosure was found to have both positive and negative effects, but the willingness to risk self-disclosure promotes the development of social and intimate relationships among childhood cancer survivors. Negative experiences or frustration from poor responses to self-disclosure can interfere with future self-disclosure attempts. Thus, self-disclosure could serve as a means of overcoming one’s disease. Healthcare providers involved in long-term follow-up should promote the benefits of self-disclosure in overcoming a childhood cancer diagnosis.