Miracle-dz/UniFAR-FTUs huggingface dataset:
Route perception of autonomous vehicle using feature extraction and KALMAN filter

A critical and essential component of modern autonomous driving systems is Lane detection as it enables vehicles to navigate safely and accurately on roads. The capability of recognizing and tracking lane markings is very crucial to maintain proper lane positioning, avoiding collisions, and ensuring the safety of both passengers and other road users. However, lane detection can be challenging, particularly in complex environments with adverse weather conditions. This paper introduces a novel algorithm for lane recognition aimed at tackling the aforementioned challenges. and enhances the accuracy and stability of lane recognition, even in challenging conditions like complex and foggy environments. The proposed method involves a series of pre-processing techniques such as grayscale, blurry, and gradient calculation, followed by the canny operator for edge detection. The proposed lane recognition approach involves the application of the Canny algorithm for edge detection to accurately detect lane markings, followed by the utilization of the Hough transform to extract the extreme edges of the lane lines. Additionally, to enhance the accuracy and stability of lane detection in challenging environments such as low light or heavy rain, the Kalman filter is employed to track the boundaries of each lane marking extracted via the Hough transform. The suggested algorithm has the potential to enhance the chances of identifying lane markings even in difficult circumstances. This improvement can play a crucial role in ensuring the safe navigation of autonomous vehicles.
Dynamic Property of Atmospheric Shear Turbulent Flow and Its Self-Similarity in the Wind Tunnel Experiment

The time series of velocity fluctuation of the atmospheric turbulent boundary layer simulated in wind tunne are measured and statistically analyzed. The result shows that the She-Leveque hierarchical similarity law always holds water at the various vertical heights of the heterogeneous surface boundary layer. The hierarchical similarity exponent β and the most intermittent scaling exponent γ vary with the vertical heights. The decomposed and recomposed series by wavelet transformation at one height is analyzed, and some hierarchical structure characters in them are presented.
Ethics Committees: Structure, Roles, and Issues

An Ethics Committee (EC) is an independent body composed of members with expertise in both scientific and nonscientific arenas which functions to ensure the protection of human rights and the well-being of research subjects based on six basic principles of autonomy, justice, beneficence, nonmaleficence, confidentiality, and honesty. MEDLINE, Scopus, and Directory of Open Access Journals were searched for studies relevant to this topic. This review is focused on the types of research articles that need EC approval, the submission process, and exemptions. It further highlights the constitution of ECs, their duties, the review process, and the assessment of the risk-benefit of the proposed research including privacy issues. It’s pertinent for academicians and researchers to abide by the rules and regulations put forth by ECs for upholding of human rights and protecting research subjects primarily, as well as avoiding other issues like retraction of publications. Despite various issues of cost, backlogs, lack of expertise, lesser representation of laypersons, need for multiple approvals for multisite projects, conflicts of interest, and monitoring of ongoing research for the continued safety of participants, the ECs form the central force in regulating research and participant safety. Data safety and monitoring boards complement the ECs for carrying out continuous monitoring for better protection of research subjects. The establishment of ECs has ensured safe study designs, the safety of human subjects along with the protection of researchers from before the initiation until the completion of a study.
ANALYSIS OF INVESTOR LOYALTY ON STOCK BROKERAGE COMPANIES: EMPIRICAL EVIDENCE IN INDIVIDUAL STOCK INVESTORS IN ACEH PROVINCE

This study aims to examine the effect of e-service quality, brand image and trust on investor satisfaction as well as its impact on stock investor loyalty in Aceh Province. A structured questionnaire was used to collect data from investors who have stock accounts in securities companies operating in Aceh. Validity and reliability tests used SPSS. This research model test used SEM Amos. The results of data analysis found that there was a positive and significant effect of service quality, brand image and trust on investor satisfaction. There was a positive and significant effect of investor satisfaction on investor loyalty, and there was a positive and significant effect of e-service quality and brand image on investor loyalty. Trust did not affect positively and significantly to investor loyalty. The trust effect on loyalty, however, was greater through the mediation variable. More variation in results could be obtained through a wider range of respondents. Other factors such as descriptive norms and perceived usefulness should be used to increase the explanatory power of the dependent variable. The comparison of the similar study on explanatory power between other customer behavior-based models could make another valuable contribution. This study would provide information on the factors affecting investor loyalty to stock brokerage companies. Moreover, the results of this study could serve as a guideline for stock brokerage companies in understanding the factors and programs that needed to embed to increase retail stock investor loyalty. Not many studies have examined the behavior of retail investors in Indonesia, particularly in Aceh Province.
WKB analysis of planar surface waveguides with truncated index profiles

We present a WKB analysis of planar surface waveguides with truncated arbitrary refractive index profiles. It is shown that the phase change at the turning point on the substrate side approaches zero near the cutoff. The validity of the conventional assumption of constant phase change of \pi/2 at the turning point is investigated, and the consequent errors near the mode cutoffs are analyzed for index profiles of practical interest.
Perceived competence of Filipino nursing students graduating during pandemic

Introduction: Given the importance of maintaining competence, there still is limited published research conducted in the local setting touching on the competence of nursing students graduating during the pandemic. This study determined the perceived fundamental nursing skills and core competence of graduating nursing students. Method: The research design is quantitative descriptive cross-sectional. The participants of the study were the 102 graduating nursing students of a public university in the Philippines. The researchers used the Perceived Competence of Filipino Nurses Questionnaire to gather data in May 2022 and were analyzed using SPSS software version 23. Results: The results revealed revealed that while majority of nursing students reported that their nursing competencies were greatly affected by the shift to online learning platform, most still had a high perception of their fundamental nursing skills competence (M=6.97) and core competence (M=8.03). The areas of elimination (M=5.41) and research (M=7.63) were the lowest ranked fundamental skill and core competencies, respectively. There was a significant difference (p< .05) in nursing students’ perceived competence based on self-reported academic performance. Conclusion: Despite the reduce exposure in the clinical setting due to the pandemic, graduating nursing students perceive themselves to be highly confident in their capabilities as future professional nurses. Nonetheless, areas for improvement were identified which warrant further assessment, validation, and enhancement.
Perbedaan gender dalam pembelajaran matematika: studi kesalahan pemecahan masalah berdasarkan Newmann Error Analysis

Kesalahan siswa dalam menyelesaikan permasalahan matematika khususnya pada soal cerita dipengaruhi oleh berbagai faktor. Salah satu aspek yang perlu dipertimbangkan adalah perbedaan gender. Penelitian ini bertujuan untuk mendeskripsikan jenis-jenis kesalahan siswa dalam menyelesaikan soal cerita matematika topik pecahan ditinjau berdasarkan gender. Penelitian ini menggunakan pendekatan kualitatif dengan jenis studi kasus. Penelitian ini melibatkan 2 siswa laki-laki dan 2 siswa perempuan kelas VII MTs. NW Bagik Polak Lombok Barat. Instrumen yang digunakan adalah tes, rubrik penilaian kesalahan dan pedoman wawancara. Data yang diperoleh dianalisis menggunakan Newman Error Analysis (NEA). Penelitian ini menemukan bahwa siswa laki-laki dan perempuan mengalami jenis kesalahan yang hampir sama. Namun, siswa perempuan masih ditemukan kesalahan membaca (Reading Error), sedangkan pada siswa laki-laki tidak ditemukan kesalahan jenis tersebut. Hasil penelitian ini dapat dijadikan sebagai rujukan bagi guru dalam merancang pembelajaran dan memberikan dampingan pada siswa yang mengalami kesulitan dalam pemecahan masalah matematika.
Correlation between structure, phonon spectra, thermal expansion, and thermomechanics of single-layer MoS2

Liang Feng Huang,1,2 Peng Lai Gong,1 and Zhi Zeng1,3,* 1Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Sciences, Hefei 230031, China 2Department of Computational Materials Design, Max-Planck-Institut fur Eisenforschung GmbH, Max-Planck-Str. 1, 40237 Dusseldorf, Germany 3University of Science and Technology of China, Hefei 230026, China (Received 4 June 2014; revised manuscript received 30 June 2014; published 15 July 2014)
Advances in the bladder cancer research using 3D culture models

Bladder cancer represents the most common malignancy of the urinary system, posing a significant threat to patients' life. Animal models and two-dimensional (2D) cell cultures, among other traditional models, have been used for years to study various aspects of bladder cancer. However, these methods are subject to various limitations when mimicking the tumor microenvironment in vivo, thus hindering the further improvement of bladder cancer treatments. Recently, three-dimensional (3D) culture models have attracted extensive attention since they overcome the shortcomings of their traditional counterparts. Most importantly, 3D culture models more accurately reproduce the tumor microenvironment in the human body because they can recapitulate the cell-cell and cell-extracellular matrix interactions. 3D culture models can thereby help us gain deeper insight into the bladder cancer. The 3D culture models of tumor cells can extend the culture duration and allow for co-culturing with different cell types. Study of patient-specific bladder cancer mutations and subtypes is made possible by the ability to preserve cells isolated from particular patients in 3D culture models. It will be feasible to develop customized treatments that target relevant signaling pathways or biomarkers. This article reviews the development, application, advantages, and limitations of traditional modeling systems and 3D culture models used in the study of bladder cancer and discusses the potential application of 3D culture models.
Leveraging Quality Management and Partnership Programs for Technopreneurial Success: Exploring their Impact on MSME Performance

This research study explores the impact of leveraging quality management and partnership programs on the performance of micro, small, and medium enterprises (MSMEs) in the context of technopreneurship. The objective of this study is to analyze the relationship between knowledge, capital, partnership programs, and the performance of MSMEs assisted by PTPN III. The study involved MSME business actors who received assistance from PTPN III. The research methodology employed quantitative analysis, with data collected through surveys and analyzed using statistical techniques. The findings of this study indicate that capital has a significant influence on the partnership program and the performance of MSMEs. However, knowledge does not show a significant impact on the partnership program and MSME performance. Moreover, the partnership program itself has a significant positive effect on MSME performance. Additionally, the partnership program mediates the relationship between knowledge, capital, and MSME performance. These results suggest that providing adequate capital resources and implementing effective partnership programs are crucial for enhancing the performance of MSMEs in the technopreneurship sector. Furthermore, the study highlights the importance of developing comprehensive strategies that integrate knowledge, capital, and partnership programs to drive the success of MSMEs. Overall, this research contributes to the understanding of the factors influencing technopreneurial success and provides insights for policymakers, MSME support organizations, and entrepreneurs themselves in developing strategies to optimize the performance of MSMEs in the rapidly evolving technopreneurship landscape.
Does board structure drive Sustainable Development Goals disclosure? Evidence from an emerging market

The study investigates to which extent corporate board characteristics influence the disclosure of Sustainable Development Goals (SDGs) in Omani-listed financial institutions. Using hand-collected data for 34 Omani financial institutions listed on the Muscat Stock Exchange for the period between 2016 and 2020, the study applies multivariate analysis to examine the association between corporate board characteristics and SDGs disclosure following Al Lawati and Hussainey’s (2022) method in measuring SDG variables. Drawing from agency theory and resource dependence theory, our results showed that the independence and financial expertise of the corporate board promote better disclosure of SDGs. On the other hand, gender and nationality diversity of the board were found to be negatively associated with the disclosure of the SDGs. Our paper contributes to the growing literature by being the first study to examine the extent to which corporate board characteristics drive SDGs disclosure in one of the emerging markets. In addition, in our study, we employ the resource dependence theory with the agency theory to investigate our research hypotheses in order to capture the full practice of the SDGs disclosure. The study implies that the characteristics of the corporate board are one of the main determinants of SDGs disclosure in emerging markets. Furthermore, not all boards behave the same with regard to the disclosure of the SDGs, and this behavior is determined by its characteristics. The study recommends that a sustainability committee may be initiated to enhance the disclosure of the SDGs in Omani financial institutions.
The Origin and Nature of Life on Earth: The Emergence of the Fourth Geosphere

Uniting the conceptual foundations of the physical sciences and biology, this groundbreaking multidisciplinary book explores the origin of life as a planetary process. Combining geology, geochemistry, biochemistry, microbiology, evolution and statistical physics to create an inclusive picture of the living state, the authors develop the argument that the emergence of life was a necessary cascade of non-equilibrium phase transitions that opened new channels for chemical energy flow on Earth. This full colour and logically structured book introduces the main areas of significance and provides a well-ordered and accessible introduction to multiple literatures outside the confines of disciplinary specializations, as well as including an extensive bibliography to provide context and further reading. For researchers, professionals entering the field or specialists looking for a coherent overview, this text brings together diverse perspectives to form a unified picture of the origin of life and the ongoing organization of the biosphere.
Willingness to Pay for Wood Work Enterprises to Recover Deforested Softwood Trees in Eastern Ethiopia

: This study was carried out to find out the economic value of forests by woodwork enterprises for the reforestation of Softwood Pine trees in Eastern Ethiopia, namely Dire Dawa administrative council, Harari regional state, and Deder district of East Hararghe Zone. Forests in Eastern Ethiopia were the major sources of softwood pine logs. Nowadays, some commercially important pine species are over-exploited and in short supply. The study was undertaken to estimate Woodwork enterprises heads willingness to pay in Dire Dawa, Harari, and Deder districts for the recovery of deforested softwood pine trees in cubic meters (m 3 ) using a contingent valuation method in Double Bounded Dichotomous Choice (DBDC) format. A seemingly Unrelated Bivariate Probit (SUBVP) model was used to examine aspects that affect woodwork enterprise heads willingness to pay (WTP) and to calculate the mean and aggregate WTP. To elicit their WTP for reforestation, 136 sample woodwork enterprise heads were randomly selected from 1076 enterprise heads and interviewed. Among these sample enterprise heads 87.5% of them were willing to pay for the reforestation while 12.5% were not. The mean WTP of the enterprise heads ranged from Birr 97.92 to Birr 174 per month per person or Birr 1,175.05 to Birr 2,088 per m 3 per year per person and the aggregate WTP was Birr 1,264,343.04 per m 3 per year and that could enable to reforest 88 hectares. The result also indicated that second bid value, family size, capital, perception, source connection, profit, substitution, liability, and distance were significantly related to WTP for reforestation. All these suggest softwood pine trees forest is of high value and therefore, there is an opportunity to mobilize woodwork enterprises to combat the softwood trees deforestation problem in the selected study areas.
Retrospective Analysis of the Effect of Auricular Acupuncture on Pain and Gastrointestinal Motility Recovery After Laparoscopic Surgery for Colorectal Cancer

Objective: To investigate the effect of auricular acupuncture on postoperative pain and gastrointestinal motility recovery after laparoscopic surgery for colorectal cancer. Methods: The clinical data of patients who underwent laparoscopic radical surgery for colorectal cancer in our hospital from April 2020 to December 2021 were collected. Based on the inclusion and exclusion criteria, 76 patients were included in the retrospective analysis. Depending on whether they received auricular acupuncture or not, the patients were divided into two groups: 46 patients in the experimental group (auricular acupuncture) and 30 patients in the control group. The differences between the two groups were analyzed. Results: The time to first flatus of the experimental group was significantly shorter than that of the control group (52.2 ± 7.36 h versus 66.3 ± 7.83 h; P < 0.001). Similarly, the time to first defecation of the experimental group was significantly shorter than that of the control group (76.3 ± 7.76 h versus 86.1 ± 10.79 h; P < 0.001). The time to first fluid intake of the auricular group was significantly shorter than that of the control group (90.4 ± 8.92 h versus 107.3 ± 9.66 h, P < 0.001). Compared with the control group, the experimental group scored significantly lower on the visual analogue scale on postoperative days 2 and 3 (P < 0.001). Conclusion: Auricular acupuncture is an effective traditional Chinese medicine external treatment method. It can promote gastrointestinal motility recovery in patients after laparoscopic radical surgery for colorectal cancer and also reduce postoperative pain and discomfort. Furthermore, this therapy is easy to operate and well-accepted by patients. Therefore, it should be strongly promoted in clinical practice.
The Re-membering of Literary Bodies in the Zimbabwean Classroom

Abstract This article explores ways in which literary and physical bodies are interlinked in a high-school English literature classroom in Zimbabwe. In this study, twenty-four Grade 12 learners, who are conceptualised as living human bodies closely connected through intergenerational memory, responded to an indigenous literary body, the set novel The Uncertainty of Hope (Harare: Weaver Press, 2006) by Valerie Tagwira. The learners’ responses were in the form of poems and symbolic poem-drawings. Participants created their own literary bodies, which reflect and re-member their individual and intergenerational experiences of the set text and of literature in general. Importantly, these multimodal literary bodies of learner “re-memberings” represent the interplay among embodied intergenerational experience, the set text as a literary body, and the discussion of the findings as a body of interpretive work.
Nonlinear effects in the regularity problems for infinite dimensional evolutions of unbounded spin systems

We study the regularity problems for unbounded spin systems of anharmonic oscillators, that approximate multi-dimensional Euclidean field theories. The main attention is paid to the effect of anharmonism on the C-regularity properties of evolutional semigroup. Our approach is based on a new class of nonlinear estimates on variations, that permit to obtain regular properties for essentially nonlinear equations.
An integrated approach for selection of service vendors in service supply chain

We explore the basic conceptual framework to imagine service supply chain that is a new research concern in supply chain management, and develop an integrated approach to optimize the selection of service vendors. Three insights arise on how service vendors can be obtained: (1) exploring multiple criteria decision-making problems with incomplete weight information; (2) identifying and eliminating criteria by information entropy method; (3) analyzing and calculating the final selection of qualified service vendors through a combining way between the fuzzy analytic hierarchy process and the multi-objective linear programming approach. Finally, an experiment implemented highlights effectiveness of the integrated approach.
A FEA-Based Fast AC Steady-State Algorithm for a Voltage-Driven PMSM by a Novel Voltage-Flux-Driven Model

Finite element analysis (FEA) has been used more frequently than ever before in electrical machine design covering different disciplines such as electromagnetics, rotor dynamics, thermodynamics, etc. The accuracy and speed of FEA are in high demand, especially when time-stepping FEA is employed in the electromagnetic design of the machine. In this article, to accelerate numerical transient in FEA of a voltage-driven permanent magnet synchronous machine, a fast ac steady-state algorithm has been proposed, in which the voltage supply is converted into the stator flux linkage and the machine can be regarded as driven by the flux linkage directly. The electromagnetic transient is eliminated by injecting additional voltage signals to compensate for the oscillating stator flux linkage in the transient and the time-stepping error caused by the backward Euler in FEA. And the additional voltage signals will finally disappear after the steady state is achieved within about a half electrical time period. In addition, the maximum torque per ampere control logic can also be realized by adjusting the initial phase angle of the voltage supply based on the vector diagram. The simulation speed of the proposed method in this paper was compared to other traditional models, and the accuracy was verified by experimental results.