Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a compact hexagonal structured dual band MIMO antenna using orthogonal polarization for WLAN and satellite applications

In this paper, a compact dual band multiple-input multiple-output (MIMO) antenna system for WLAN and X-band satellite applications (2.4/9.8 GHz respectively) is proposed. On the top face of the substrate, two antenna elements with a size of 20 × 24 mm2 are placed side by side and fed with matched orthogonal micro-strip lines. The two antenna elements have orthogonal polarization which can reduce the mutual coupling between its ports. The designed antenna system is fabricated and measured to validate the simulation results. The impedance bandwidths are about 370 MHz (2.19 to 2.56 GHz) and 630 MHz (9.44 to 10.07 GHz), while the obtained isolation is greater than 14 dB at the operating bands. Furthermore, the envelope correlation is less than 0.052 and 0.008 at 2.4 and 9.8 GHz, respectively. Hence the diversity gain is higher than 9.98 in the frequency bands of interest.
OIC-CERT Journal of Cyber Security

As a featured subset of cyber-physical-systems, Mobile cyber-physical-systems can make use of Mobile devices, such as smartphones, which serve as a convenient and economical platform for Mobile applications in all places between humans and the geographic world around it. Today, cyber physical systems are popular in power grids, healthcare devices, transportation networks, industrial processes and infrastructure. Cyberphysical systems (CPS) are used more widely, the security of physical cyber systems in the design, implementation, and research of the system is very important. Various types of attacks in the cyber-physical-system (e.g. Stuxnet worms) cause severe casualties and potentially serious security risks. Over the past few years, researchers have focused on aspects of the security of cyberphysical systems. In this paper, after analysing CPS security objectives and CPS security approaches, we propose a security technique to provide security and improve intrusion detection methods for cyberphysical systems, which is used to improve CPS immunization. Mobile CPS that has expanded the benefits and scope of CPS applications in recent years has become increasingly popular. For example, mobile CPS can be a kind of basic techniques to support the development of transport network systems, thus protecting the privacy and security of users in the dynamic transport environments Improves. In this article, we first recognize the Mobile CPS of the traditional CPS. Then, we recommend a solution using the Crawling and Spidering techniques used in search engines to detect and cope with the influence of information security systems
Denitrification-Dependent Anaerobic Oxidation of Methane in Freshwater Sediments of Reservoirs in SE Poland

The results presented here concern the anaerobic oxidation of methane (CH4) coupled with denitrification (i.e. a process abbreviated to DAMO) in the freshwater sediments of dam reservoirs located in Rzeszów, Maziarnia and Nielisz, SE Poland. The DAMO rate was determined experimentally by adding a CH4 isotope marker and NO3 as an electron acceptor. The sediments were collected once, in autumn (September), with incubation of the 0–5, 5–10 and 10–15 cm layers then carried out at 10oC, as the temperature corresponding to the in situ conditions at the given time of the year. The DAMO rates were set against the results for the anaerobic oxidation of methane (AOM), which were obtained by incubation of reservoir sediments with the CH4 isotope marker alone. The DAMO rates noted were of 0.03–0.69 nmol·g-1·h-1 for Rzeszów Reservoir; 0.04–0.47 nmol·g-1·h-1 for Maziarnia Reservoir and 0.19–1.04 nmol·g-1·h-1 for Nielisz Reservoir. Overall, it was typical for the DAMO rates to be about twice as high as the rates of AOM with no electron acceptor added. The addition of NO3 did not accelerate the methane oxidation significantly in any of the sediment layers from Maziarnia Reservoir, while the effects in Rzeszów Reservoir sediments were confined to the 10–15 cm layer. While the DAMO rates were progressively higher in the deeper layers of sediment from Maziarnia Reservoir, the trend was the reverse (downward) with depth at the Rzeszów and Nielisz sites. The results indicate that the process abbreviated as DAMO takes place in dam reservoirs and is related, not only to the presence of NO3 -, but also to the sediment parameters.
Studies on Dyslipidemia in Diabetic and Non Diabetic Hypertensive Patients

Objective: Background reliable information about the prevalence of dyslipidemia in hypertensive and non hypertensive diabetic patients in local region is essential to the development of regional health policies for prevention and control of this condition. An attempt was made in Puducherry region to examine the lipid profile parameters in the diabetic patients with and without hypertension and thereby to create awareness on the importance of closely watching their lipid parameters frequently from the age of 30-70. Method: Totally case sheets of 105 Puducherry patients are referred covering hypertensive and non hypertensive diabetic patients. To ascertain the significance of each parameters student’s t-test has been done. Results: It is found that elevated serum triglycerides (TG), very low density lipoprotein (VLDL) and Cholesterol/High density lipoprotein Ratio (CHOL/HDL) but normal cholesterol, low density lipoprotein (LDL) and HDL in diabetic patients of all age groups. In both gender Serum triglycerides are significantly elevated in diabetics of all age groups compared to non diabetics. Plasma VLDL is significantly elevated in female diabetic patients between the age group of 30-40 years and 60-70 years compare to non diabetics and other age groups. Plasma VLDL is significantly elevated in male diabetic patients also between the age group of 30-50 years compare to non diabetics and other age groups. Conclusion: Serum TG and VLDL was found to be more significantly increased in diabetic patients with hypertension compared to without hypertension. Similarly serum TG is also elevated in non diabetic hypertensive patients.
Mitogen-Activated Protein Kinase (MAPK) dan Ekspresi Endothelin-1 (ET-1) pada Kultur Huvecs yang Dipapar Leptin

The effect of obesity on vascular function is mediated by hormon leptin. Leptin has been proved to increase oxidative stress in endothelial cell. The previous study has proven that leptin caused the endothelial dysfunction as a step of the atherogenesis. Lycopene, an antioxidant, is presumed having the ability to block the atherogenesis mechanism, which is stimulated a proinflamatory cytokine and adhesion molecules by MAPK and transcription factor ET-1. Therefore, the aim of this research was to prove and to determine whether lycopene could decrease the MAPK and ET-1 expression in Human Umbillical Vein Endothelial Cells (HUVECs) culture induced by 500 ng/ml leptin. In vitro study used primary culture of the HUVECs were devided in to 7 groups, there were (1) 0 ng/ml leptin and 0 ìM lycopene, (2) induced by 500 ng/ml leptin for 12 hours, (3) induced by leptin and lycopene with concentration 10; 25; 40; 55 and 75 ìM for 12 hours. Then the identification of MAPK was applied by using imunocytochemistry compared with ELISA procedure on cell endothel culture lysate and ET-1 expression was measured by using RT PCR. It was showed that lycopene 10-25 ìM decreased MAPK and ET-1 expression significantly in HUVECs culture induced by leptin 500 ng/ml. Leptin was increased ERK1/2 MAPK and ET-1 expression in HUVECs culture and can decrease by lycopene. Optimum dose of lycopene is 10-25 ìM.
In Situ Monitoring of Temperature Rise in Friction Surface Using Ultrasonic Technique

Abstract In this work, the feasibility of the use of ultrasonic thermometry for in situ monitoring of temperature rise in friction surface has been examined. The ultrasonic thermometry that is a method providing internal temperature measurements by ultrasound is applied to temperature measurements of a friction surface at which temperature rise occurs due to friction, and an attempt is made to demonstrate in situ monitoring of transient variations in the friction surface temperature and temperature distribution beneath the surface. Those temperatures near the friction surface are quantitatively determined by an effective method consisting of ultrasonic pulseecho measurements and a finite difference calculation for estimating a one-dimensional temperature distribution along the direction of ultrasound propagation. The advantage of the method is that no boundary condition at the friction surface is needed. To demonstrate the practical feasibility of the method, the ultrasonic pulse echo measurements at 5 MHz are performed for a steel plate of 30 mm thickness whose single side is being rubbed with a felted fabric plate. The temperature at the friction surface and internal temperature distribution of the steel plate are measured during the rubbing process and the transient variations of the measured temperatures are obtained. Quick temperature rise of approximately 30 K at the friction surface is observed within a few seconds after the rubbing starts. It is noted that the temperatures measured by the ultrasonic method almost agree with those measured using thermocouples inserted into the steel plate. Thus, it has been demonstrated that the ultrasonic thermometry is a promising sensing means for in situ monitoring of temperatures at friction surface as well as beneath the surface.
Issues in corporate transparency from the perspective of a sustainable consumer

This paper aims to research the issues related to corporate transparency from the consumer perspective. The larger theme behind this research is sustainability and more specifically sustainability from the consumer perspective. As more and more consumers are informed of the sustainability issues that are happening, many consumers want to make more effort to make purchase decisions that align with their values. In order to succeed in this process, consumers need more transparency. However, having a total transparency is not possible. There are many issues that effect both how transparent companies can be and whether the added transparency can truly claim its promises. In this reseach, we are researching different issues related to transparency and how do they effect to the consumer. The common transparency issues that we have discovered and researched in this paper were divided onto five different categories: volume of transparency, lack of universal measurements, transparency on a competitive field, labels and certificates as indicators of transparency and lack of regulation with CSR. This paper seeks to gather information about these issues and how these issues effect to the consumer. In addition to that the possible solutions are considered. The aim is to offer both practional and academical information for further research in the future.
Uncovering business portfolio transformation processes: Development of a metric to measure and quantify business portfolio transformations

Research on business portfolio restructuring has largely focused on antecedents and outcomes of single events such as acquisitions and divestitures, and on performance implications of diversification or refocusing strategies. Yet, longitudinal studies that investigate the transformation process of a business portfolio over time and its underlying strategic decision processes are rare due to a lack of an adequate metric that allows to measure and quantify major changes in a firm's business portfolio. The objective of this paper is to fill this gap through developing and proposing a systematic measurement system that allows to (a) identify firms that conduct a transformation of their business portfolio, (b) continuously measure the process and quantify the magnitude of a portfolio transformation, (c) measure both yearly and perennial changes in a business portfolio composition, and (d) determine a firm-individual transformation period with a clear transformation start date and end date. Furthermore, its practical applicability is illustrated based on a sample of the 100 largest European firms and with an in-depth analysis of Vivendi's business portfolio transformation from a construction to a media conglomerate. Concluding, further application areas of the metric as well as several directions for future research in this field are proposed.
Academy of Economic Studies, Bucharest

The impact of trade and financial openness can be measured by the sensitivity of the first moment of the economic growth. Taking into account the domestic conditions, this paper provides an empirical evaluation of the impact of globalization on the economic growth in the Eastern Europe. The data set includes a sample of 9 countries from the Eastern Europe, which are member states of the EU. This paper investigates the possibility of a non-monotonic relationship between the trade/financial openness and the economic growth. The analysis of non-linearity is done by allowing the effects of trade/financial integration to vary with the general level of economic development. The econometric models used in the analysis are the dynamic panel data models: the “Difference” GMM (Arellano-Bond (1991)) and the “System” GMM (ArellanoBover(1995)/Blundell-Bond(1998)). These models are designed for a dynamic persistent panel data with few time periods and many individuals, with endogenous regressors, with fixed effect, with heteroskedasticity and auto-correlation within cross-sections. The main conclusions of this paper are that trade openness has a significant positive impact on the economic growth while the impact of the financial integration is a negative one. This analysis reveals a strong non-linearity of the impact of trade openness on the economic growth. The non-linearity of the financial openness impact on the economic growth couldn’t be deduced.
Downregulated Salt-inducible Kinase 3 Expression Promotes Chemoresistance in Serous Ovarian Cancer via the ATP‐binding Cassette Protein ABCG2

Background: Epithelial ovarian cancer (EOC) has a high tumor-associated mortality rate among gynecological cancers. Although CA125 is a well-studied biomarker for ovarian cancer, it is also elevated under numerous conditions, resulting in decreased specificity. Recently, we identified a novel tumor-associated antigen, salt-inducible kinase 3 (SIK3), during tumorigenesis in ovarian cancer. However, the association between SIK3 expression and patient outcomes in ovarian cancer remains unclear. Materials and Methods: We collected EOC samples from 204 patients and examined tumor SIK3 expression by immunohistochemistry (IHC) and CA125 expression in tumors and serum. The expression levels of SIK3 and CA125 were correlated with patient survival. SIK3 expression was silenced with SIK3-specific shRNAs to investigate the possible mechanisms related to chemoresistance in serous-type ovarian cancer cell lines OVCAR4 and SKOV3. Results: In advanced-stage serous ovarian cancer, patients with low SIK3 expression have poorer overall survival (OS) and progression-free survival (PFS) than patients with high SIK3 expression. Ovarian cancer cells with SIK3 knockdown display increased chemoresistance to Taxol plus cisplatin treatment, which is associated with the upregulation of the ABCG2 transporter. In addition, in serous ovarian cancer, SIK3 expression is inversely correlated to ABCG2 expression, and patients with low SIK3 and high ABCG2 expression have worse prognosis than patients with high SIK3 and low ABCG2 expression. Conclusion: Our results demonstrated that serous EOC patients with low SIK3 expression have poor prognosis, which is associated with chemoresistance mediated by ABCG2 upregulation. SIK3 and ABCG2 expression levels may be potential prognostic markers to predict the outcome in serous EOC patients.
INFLUENCE OF PROCUREMENT SYSTEM INTEGRATION ON SUPPLY CHAIN PERFORMANCE IN KENYA'S STATE CORPORATIONS

This study looked into the influence of procurement system integration on supply chain performance in Kenya’s State Corporations. The study targeted all the 128 state corporations in Kenya which were 128 in total. The study used descriptive research design. Primary data was collected using the questionnaire. Descriptive statistics such as mean and frequencies and inferential statistics (regression and correlation analysis) were used to perform data analysis. Primary data collected using questionnaires was adopted for the study. The study findings indicated employee skills, ICT applications, costs, quality management and time management significantly and positively influences effective procurement system integration on supply chain performance in Kenya’s State Corporations. The study concluded that state corporations should enhance their employees’ skills, integrate their procurement system to create awareness on system management, ensure there is sufficient ICT applications, integrate their procurement system so as to ensure there is short transaction cycle. The study recommended supply chain companies in state corporations to adopt integrated procurement systems so as to enhance their employees skills thereby leading to awareness on system management. The study further recommended state corporations to equip their employees with relevant skills especially with respect to system utilization. The study recommended state corporations to ensure enhanced their employee skills through integrated procurement systems. There is also need for state corporations to ensure they have integrated procurement system. Supply chain companies in state corporations to ensure they adopt integrated procurement systems to enhance their Enterprise resource planning. Further, supply chain companies to enhance the integration of their procurement systems as it has a positive influence on overall organization quality management. To ensure there is total quality management, supply chain companies in state corporations in Kenya should integrate their procurement systems. Supply chain companies in Kenya should adopt integrated procurement systems. Key Words: Employee Skills, ICT Applications, Costs, Quality Management, Time Management, Procurement Systems
The impact of macroeconomic and liquidity shocks on hedge fund tail risk

Risk related to return higher moments is usually perceived as substantial in the hedge fund industry. In this article, we relate the return co-skewness and co-kurtosis of hedge fund strategies to macroeconomic and financial shocks. We find that the hedge funds’ return higher moments are quite sensitive to these shocks, and especially during the subprime crisis. Our robust IV-GMM estimation procedure reveals that output shocks are more important for explaining the cokurtosis of most hedge fund strategies, than shocks related to jumps in the VIX, while we find the opposite for coskewness. This suggests that hedge funds better monitor their co-kurtosis. Our VAR (vector autoregressive) experiments show that the bulk of the reaction of higher moment risk to shocks occurs during a recession. Furthermore, some directional strategies—like short-sellers and futures’ strategies—successfully monitor shocks and deliver higher returns during periods of crisis. Our results also suggest that illiquidity factors are subject to endogeneity and may be viewed as indicators of return smoothing, especially during crises. Robustness checks also reveal that the practice of return smoothing may lead to a serious underestimation of hedge fund higher moment systematic risk, and especially fat-tail risk.
Association rule mining algorithm based on Spark for pesticide transaction data analyses

With the development of smart agriculture, the accumulation of data in the field of pesticide regulation has a certain scale. The pesticide transaction data collected by the Pesticide National Data Center alone produces more than 10 million records daily. However, due to the backward technical means, the existing pesticide supervision data lack deep mining and usage. The Apriori algorithm is one of the classic algorithms in association rule mining, but it needs to traverse the transaction database multiple times, which will cause an extra IO burden. Spark is an emerging big data parallel computing framework with advantages such as memory computing and flexible distributed data sets. Compared with the Hadoop MapReduce computing framework, IO performance was greatly improved. Therefore, this paper proposed an improved Apriori algorithm based on Spark framework, ICAMA. The MapReduce process was used to support the candidate set and then to generate the candidate set. After experimental comparison, when the data volume exceeds 250 Mb, the performance of Spark-based Apriori algorithm was 20% higher than that of the traditional Hadoop-based Apriori algorithm, and with the increase of data volume, the performance improvement was more obvious. Keywords: Spark, association rule mining, ICAMA algorithm, big data, pesticide regulation, MapReduce DOI: 10.25165/j.ijabe. 20191205.4881 Citation: Bai X N, Jia J D, Wei Q W, Huang S Q, Du W C, Gao W L. Association rule mining algorithm based on Spark for pesticide transaction data analyses. Int J Agric & Biol Eng, 2019; 12(5): 162–166.
Portable and Efficient Fingerprint Authentication System Based on a Microcontroller

This paper presents the design of a fingerprint authentication system based on a simple microcontroller and the fingerprint sensor. The circuit diagram and details regarding the procedure are included. The system was programed in MPLAB and then embedded into the microcontroller. Communication between the PIC and sensor is by RS232 protocol. The results show that the system recognizes the fingerprint in less than 1 second. It is portable and there is no need for image processing. Furthermore, the system shows a high effectiveness when storing and verifying fingerprints.
Roles of orbitofrontal and insular cortices in processing reward variables

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