Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety lane change model of vehicle assistant driving on highway

To deal with the problem of traffic accidents such as vehicle collision during the conscious lane change of the vehicle on the highway under dangerous conditions,a now safety lane change model was established on the basis of the previously studied and developed lane departure warning system.The model considered the typical lane change scenario and more actual behavior that most driver often accelerate their vehicles during the lane change process.A simulation program was developed to analyze the model performance based on the software Matlab 7.0. The established model was compared with the developed by California University and the result showed this model is more practical.It can be used to establish the vehicle assistant driving system for lane change.
Study on Anti-jamming Technology Based on Cognitive Radio

As an effective anti-jamming technique,the cognitive radio can improve adaptability of communication system in complicated battlefield environment.Compared to traditional anti-jamming approaches,the anti-jamming technology based on cognitive radio provides better flexibility,adaptability and robustness,and is well recognized in military communication.This paper describes the architecture of an anti-jamming system based on cognitive radio,explains module functions of cognitive radio,equipment,and discusses some critical technical issues,including wideband real-time spectrum awareness,dynamic spectrum allocation and adaptive parameter adjustment.
Ranking Security of IoT-Based Smart Home Consumer Devices

Manufacturers of smart home consumer devices like home theatres, music players, voice-based assistants, smart lighting, and security cameras have widely adopted the Internet of Things (IoT). These devices pose a significant security risk to consumers because the devices are exposed to mobile applications and cloud-based services with known security vulnerabilities. Most current home consumer devices provide little or no information about the level of security they afford. Since most consumers are not tech-savvy, it is currently difficult for a consumer to make an informed decision about which consumer device model (e.g., smart television model) has the best security. Hence, consumers need an objective security ranking of each type (e.g., security cameras) of home consumer devices. This paper proposes a novel methodology to systematically build such security rankings for home consumer devices. The proposed methodology can be applied by utilizing data from any security assessment study. The paper discusses previous efforts in applying Analytic Hierarchy Process (AHP) to rank security risks in general. The paper also presents a systematic survey of security vulnerabilities of smart home consumer devices when viewed from an IoT lens. Using the proposed methodology, a case study, employing an AHP model for ranking commonly used home consumer devices including home theatres, security cameras, smart lighting, smart speakers, video surveillance, smart switches, home automation systems, home security systems, smart routers, wireless doorbell cameras, and home audio systems, was developed. Relative security rankings for each type of consumer device were derived from the AHP model. According to the AHP model, network security was the primary driver of smart home device security with a priority of 0.6893 while application security had the least priority of 0.0591. Critical Vulnerabilities were the most important for device security (priority=0.4397), Man-in-The-Middle attacks for network security (priority=0.2019), exploitable services for cloud security (priority=0.26), and sensitive data for application security (0.7626). The AHP model was internally consistent (Consistency Ratio < 0.1). Sensitivity analysis showed that the AHP model was robust against pairing assumptions.
A reziliencia vizsgálata pedagógusok körében és a pedagógusképzésben

Jelen tanulmány a reziliencia fogalmát és annak oktatási térben való alkalmazását járja körül. A magyar nyelvű neveléstudományi szakirodalomban főként a tanulmányi reziliencia fogalmával és vizsgálatával találkozunk. A tanulmány célja egy olyan holisztikus szemléletű, rendszerelméleti megközelítés bemutatása, amely jobban illeszkedik pedagógus-kutatások világához, és a maga komplexitásában képes megragadni a szakmai reziliencia fogalmát. A reziliencia dinamikus interaktív modellje lehetőséget ad mind az intézményi oktatási környezet, mind a reziliencia fejlesztésével foglalkozó képzések, továbbképzések újragondolására.
Undergraduate Awareness and Perception on the Use of Digital Collaborative Tools in Facilitating Learning in Selected Universities within the Ilorin Metropolis

The study identified the Digital Collaborative Tools used for learning among undergraduates; (i) determined undergraduates’ awareness on the use of these tools for learning; (ii) ascertained undergraduates’ perception of their use for learning; (iii) identified challenges faced on the use of Digital Collaborative Tools for learning; (iv) ascertained coping strategies of integrating these tools for learning in Ilorin metropolis; and (v) examined the influence of gender on undergraduates’ awareness of Digital Collaborative Tools for learning in Ilorin metropolis. The research adopted a descriptive research design of the survey type. The population is comprised of all undergraduate students in the Ilorin metropolis. A stratified random sampling technique was used to select 200 students and a researcher-designed questionnaire was used to elicit objective responses from the subjects. Frequency counts, percentages, and mean scores were used to analyze the research questions while t-test and Analysis of Variance (ANOVA) were employed in testing the hypotheses. The findings of this study were that Digital Collaborative Tools were used for learning among undergraduates. The study recommended that male and female teachers are to redirect their focus on the utilization of digital collaborative tools for learning.
A Simulation Study on The Simulated Annealing Algorithm in Estimating The Parameters of Generalized Gamma Distribution

The gamma distribution is one of the most widely used statistical distribution in fitting various real life data set in the field of the reliability to fit failure data, because it is sufficiently flexible to deal with decreasing, constant, and increasing failure rates. In this article, the stock investment valuation model has been presented on the assumption of Gamma distribution. The purpose is to analysis profitability of investment in the property development sector in Malaysia based on the investment rate of return on investment. The flow of the investment cash and the accumulation of the share units over the investment period have been presented. it demonstrated the computing of MIRR by the case of a company which experienceed distributing a treasury share dividend, which increases the small portion of investor’s share units instead of receiving the dividend in cash. As the MIRR might exhibit negative values, the Gamma distribution of the transformed MIRR for certain investment periods is developed and the method of moment is applied to estimate the parameters. The study revealed that the transformed MIRR is well fitted with Gamma distribution for four years to eight years investment periods. It is shown that this approach has a better performance return on investment in Malaysia property sector from 2008 to 2018.
IDENTIFIKASI POTENSI SENYAWA ISOFLAVON DAN QUERCETIN DAN PERBANDINGAN IKATAN TERHADAP ACE (ANGIOTENSIN-CONVERTING ENZYME) MENGGUNAKAN STUDI IN SILICO

Prevalensi hipertensi di Indonesia tergolong tinggi, sekitar 29,1% pada laki-laki dan perempuan sebesar 26,6%. Penderita hipertensi di Jawa Timur juga tergolong tinggi, sebanyak 31.789 orang. Solusi alternatif dalam penelitian ini, memanfaatkan isoflavon dan quercetin sebagai antihipertensi. Isolavon dan quercetin merupakan seyawa fenolik yang mampu berikatan dengan Angiotensin Converting Enzyme(ACE) dan mempengaruhi tekanan darah. Penelitian ini mengidentifikasi potensi senyawa isoflavon dan quercetin serta perbandingan ikatan antara isoflavon dan quercetin terhadap ACE dengan menggunakan perangkat lunak Hex 8. Penelitian ini adalah deskriptif kuantitatif dengan penelusuran melalui metode in silico (pengunduhan molekul dan penambatan molekul) secara komputerisasi. Softwareatau aplikasi yang digunakan pada penelitian ini adalah pass server dan HEX 8.0. Hasil visualisasi penambatan molekul ditampilkan dengan perangkat lunak Discovery Studio. Hasil penelitian ini menunjukkan bahwa senyawa quercetin dan isoflavone berpotensi sebagai vasoprotektor. Energi penambatan molekul Isoflavon terhadap ACE sebesar -194,66 kkal.mol. Quercetin sebesar -236,47 kkal.mol, Captopril sebesar -494.56 kkal/mol. Energi penambatan ligan isoflavon dan quercetin terhadap ACE (Angiotensin Converting Enzyme) lebih besar daripada penambatan ligan Captopril terhadap ACE (Angiotensin Converting Enzyme). Hasil penelitian ini memberi harapan potensi penggunaan senyawa ligan sebagai antihipertensi namun memerlukan penelitian lebih lanjut.
Transportation Infrastructure or Economic Power? Development of the Automobile Industry in the United States

The motive for the Korean automobile industry’s US investment is the easing of trade regulations and managing a stable supply chain by establishing local production. The Korean automobile industry has undergone major changes due to strong trade regulations since the beginning of the Trump administration and the COVID-19 pandemic. This has affected parts production, procurement, and automobile manufacturing and shaken the foundation of the automobile industry supply chain. The purpose of this study is to provide implications for additional investment decisions by analyzing the impact of the US industry and economy on the success of the automobile industry if Korean automobile companies advance into the US. This study conducted panel analysis by collecting 10 years of data to investigate the impact of economic, industrial, and infrastructure factors in each state on the success of the automobile industry. This study reflected the characteristics and investment motivation of the automobile industry. The study findings revealed that an export-oriented industrial area is suitable for strategic investment rather than a region where the economy is simply large or where all industries are developed. In addition, when making investment decisions, it is important to prioritize the internal capabilities of the company rather than external factors.
A Novel Docetaxel-Biotin Chemical Conjugate for Prostate Cancer Treatment

A novel conjugate of docetaxel and biotin (designated as IDD-1010) was designed and chemically synthesized via an ester linkage at position 2’ carbon in docetaxel. The synthesized pure IDD-1010 exhibits a potent anti-cancer activity in in vitro and in vivo studies. At 10 nM, IDD-1010 has induced increased apoptosis and mitotic arrest of PC3-Luc prostate cancer cells, causing aneuploidy and cell death at higher concentrations. Toxicology studies indicate that the maximal tolerated dose (MTD) of IDD-1010 is 150 mg/kg in mice; equivalent to about 12.2 mg/kg of body weight, or to about an 850 mg dose for a patient weighing 70 kg. The MTD-treated mice exhibited weight gain similar to that of the control group, with no gross pathological signs at 14 days post-dosing. At a lower dose, IDD-1010 treatment did not lead to any significant weight loss in mice, although decreased the tumor volume stemming from injecting cancer cells into the dorsal loop of mouse prostate, and it was found to be more potent than Paclitaxel (reference drug). Similarly, IDD-1010 treatment significantly reduced tumor weight and thereby increased the percentage of mice survival as compared to reference drug-treated and control groups. To summarize, the described experiments using IDD-1010, as compared to the reference drug, strongly suggest a potential treatment utility with a wider therapeutic window for prostate cancer. Henceforth, clinical research on such a novel drug candidate would be greatly worthwhile.
Quantum hashing on the high-dimensional states

In the paper, we consider using high-dimensional quantum states (so-called qudits) for the implementation of the quantum hashing technique. The importance of qudits for quantum procedures that implement quantum hashing and protocols based on it follows from two considerations. First of all, d-dimensional qudit describes a d-level quantum system, which can be in a superposition of its d basis states without the need of using highly entangled qubit states. The second consideration is that the d-dimensional qudit can be represented by a single particle. These two properties of qudits are considered in this paper to generalize the notion of quantum hashing. The latter is used to present a variant of a quantum protocol for secret key verification.
High-Dimensional Bayesian Optimization for Analog Integrated Circuit Sizing Based on Dropout and g/I Methodology

Bayesian optimization (BO) is popular for a analog circuit sizing problem recently. However, BO can only work well in small-scale circuit. Scaling BO to common circuit optimization (typically dimension > 10) is difficult due to the curse of dimensionality. In this article, we proposed a new BO algorithm (cBO), which can scale BO to more larger scale circuit and improve the optimization result. First, according to the fact that a specification of the analog integrated circuit is mainly determined by a few transistors, dropout strategy is adopted in our algorithm. At each iteration, only a subset of selected variables to be optimized. A variables selection strategy based on mutual information analysis and a new fill-in strategy are proposed. Second, the <inline-formula> <tex-math notation="LaTeX">$g_{m}/I_{D}$ </tex-math></inline-formula> methodology-based optimization strategy is proposed. Optimization variables are not width and the length of transistors, but <inline-formula> <tex-math notation="LaTeX">$g_{m}/I_{D}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$I_{D}$ </tex-math></inline-formula> and length. <inline-formula> <tex-math notation="LaTeX">$g_{m}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$I_{D}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$g_{m}/I_{D}$ </tex-math></inline-formula> have a direct relationship to circuit performance. This is equivalent to search in circuit feature space, which could achieve better performance and handle constraints more easily. Four commonly used circuits, including low dropout regulator, two stage amplifiers, Bandgap voltage reference (VR), and VR are used for validation. Compared with other high-dimensional BO, common BO, and commercial tools (Cadence ADE_GXL), the proposed algorithm is found to produce the best optimization result and best stability. And, the ablation study shows the effectiveness and efficiency of two ingredients of the proposed algorithm.
Description of Model Data for SNL13.2-00-Land: A 13.2 MW Land-based Turbine Model with SNL100-00 Blades

Introduction This document provides a description of model files for the SNL13.2-00-Land Turbine model with SNL100-00 blades [1]. The codes associated with these files are also described (e.g. code version and usage). This document is intended to provide only a brief description of the turbine model files and the files required to produce the turbine model data. Additional code usage information can be found in the code user manuals.
A test of self-medication hypothesis for drug use in homeless persons: the role of severe mental illness

ABSTRACT The purpose of this study was to test the self-medication hypothesis of drug use in a sample of homeless persons. A serial mediation model was tested to examine the effects of recent victimization on trauma-related symptom severity, and the effects of trauma-related symptom severity on severity of severe mental illness (SMI) symptoms, and finally the effects of severity of SMI symptoms on illicit drug use. The final sample for the study included 164 participants who were assessed prospectively at both baseline and 6-month post-baseline. It was hypothesized that SMI would mediate the pathways for self-medication. Structural Equations Modelling analyses revealed that current trauma-related symptom severity mediated the relationship between recent victimization and severity of SMI symptoms. Furthermore, SMI symptom severity mediated the relationship between current trauma-related symptom severity, and illicit drug use providing indirect support for the self-medication hypothesis. The findings underscore the importance of assessing and providing for trauma-informed care to persons with SMI seeking services for co-occurring substance use disorders.
Enhancing Teaching - Learning Professional Courses via M- Learning

Professional courses impose restrictions on teaching methodologies. Though not very theoretical in nature, following ICT techniques for teaching-learning professional courses will only cater to better presentation to the audience but not with the objectives being understood. Assessment techniques have to be evolved for ensuring the reach of such courses. And teaching-learning-assessing becomes less interesting when the traditional techniques are to be followed during online learning. It might be expected in the near future that learning will take place in versatile environments that are smoothly integrated into everyday life. This paper proposes a course management system for m-learning. This paper also discusses and shares the experiences in using mobile learning and innovative assessment methodologies followed for teaching-learning professional course, say Social and Professional Ethics of Information Technology, Pokhara University, Pokhara, Nepal.
Teaching of operational excellence in Moroccan universities and high schools A major lever for a competitive Moroccan company

The performance of any company can be stimulated by many factors, primarily their strategies for operational excellence. This paper aims to show that the teaching of this concept in Moroccan establishments designed to educate and train future managers to the tools and especially to the spirit of operational excellence, is one of the major catalysts for an efficient and competitive Moroccan company. Meeting this challenge requires a number of strategic and educational actions, which need consolidation of efforts of all actors affected by this project.
Evaluation of Four Indigenous Non-Saccharomyces Yeasts Isolated from the Shangri-La Wine Region (China) for Their Fermentation Performances and Aroma Compositions in Synthetic Grape Juice Fermentation

This study investigated the fermentation performances and aroma compositions of synthetic grape juice that was fermented by four indigenous non-Saccharomyces yeast isolates that were obtained from the Shangri-La wine region (China): Meyerozyma guilliermondii (AD-58), Saccharomycopsis vini (BZL-28), Saturnispora diversa (BZL-11), and Wickerhamomyces anomalus (DR-110), in comparison to those of Saccharomyces cerevisiae (EC1118). The four indigenous non-Saccharomyces yeasts showed a lower fermentative capacity and a lower conversion rate of sugar to alcohol, but a higher yield of volatile acidity. W. anomalus (DR-110) had a greater ability to produce numerous esters and short-chain fatty acids and the representative flavors of its fermented medium were fruity and fatty. Sac. vini (BZL-28), interestingly, exhibited great capacity in the formation of many monoterpenes, particularly (Z)-β-ocimene, E-β-ocimene, linalool, citral, and geraniol and its fermented medium was characterized by a strong fruity (citrus-like) and floral flavor. M. guilliermondii (AD-58) and Sat. diversa (BZL-11) only mildly affected the aroma profiles of their resultant fermented media, since the concentrations of most of the volatiles that were produced by these two isolates were much lower than their sensory thresholds. The four indigenous non-Saccharomyces yeasts exhibited distinctive fermentation performances and aroma production behaviors. In particularly, W. anomalus (DR-110) and Sac. vini (BZL-28) have shown good potential in enhancing the aromas and complexity of wine.
Science Lecturers’ Seeming Use of Google Classroom for Instruction

This study investigated the science lecturers’ perceived use of Google classroom for instruction as well as the influence of teaching experience and experience in the use of the google classroom for instruction. The study hires a survey method with the use of the online questionnaire. All lecturers in the faculty of science made up the population for the study. The findings established that science lecturers have good seeming on the use of google classroom for instruction. Also, lecturers’ years of experience influenced their use of Google classroom for instruction. The study concluded that lecturers perceived use of google classroom encouraged them to use it in their instructional activities. It was however recommended that Google Classroom also has to constantly upgrade to suit user needs so as not to be replaced with newer, better, faster, more efficient alternatives.
Electrochemical Technologies for the Abatement of Endocrine Disrupting Compounds

Endocrine disrupting compounds (EDCs) are a class of emerging contaminants capable of interfering with the normal hormonal functioning of humans and other organisms. Even minute concentrations of EDCs in natural receiving water bodies can be minacious and are raising concern globally due to their connection with rising cases in reproductive, immune system, and developmental-related health disorders. These EDCs are released from anthropogenic sources and are routinely detected in the natural environment especially in wastewater. Incapacitated by poor infrastructure and design, conventional wastewater treatment facilities fail to satisfactorily remove the recalcitrant organic pollutants like, parabens, phenols, pesticides, etc., making them one of the biggest sources of EDCs discharged into the environment. Neoteric techniques such as, electrochemical oxidation, electro-Fenton process, electrocoagulation, and other electrochemical technologies (ETs) have emerged as a robust technology for eliminating biorefractory contaminants from different effluents. The setups used in ETs are easy to fabricate, require low chemical additions, produce minimal sludge, and their faster/efficient degradation of recalcitrant compounds give them an edge over their conventional counterparts. However, expensive electrodes and substantial power consumption limit the scale-up application of ETs. Thus, this review attempts to present a holistic view of the applicability and feasibility of ETs with respect to EDCs attenuation from contaminated water and their advancement as a mainstream wastewater management technology.
Leveraging on public means for start-ups: a case study on the catalytic role of iMinds' entrepreneurship program

Attention for entrepreneurship and technology transfer programs at public research organisations (PROs) has increased over the last decades. However, given the relatively young history of increased attention for these activities, PROs are still searching for the best ‘recipe’ to achieve success. This study present the case study of iMinds, a PRO focused on ICT in Flanders (Belgium), where the entrepreneurship program has been opened up to externals (in addition to its own researchers). By analysing the case study, the effects of opening up these programs on the participation degree, number of start-ups and spin-offs and subsequent effects on the entire ecosystem are analysed. The results show a leverage effect on the initial investments on the entire ecosystem and increased attention for entrepreneurial initiatives, both amongst researchers as well as externals.