Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on underwater bearings-only target tracking algorithm based on time-delay

Taking underwater sensor and sub sonar as an example,a new underwater system of passive target motion analysis(TMA)is designed.Base on the measurement of bearings and time-delays between different sensors,the equation of state and the equation of measurement are established.With the algorithm of extend Kalman filter,the target motion analysis is discussed.The Monte-Carlo simulation experiment results demonstrate that the new algorithm has better performance. The system is easy to constitute,and has great utility.
SOIL TEMPERATURE OF BOTH OPEN FIELD AND UNDER TRANSPARENT POLYETHYLENE LOW TUNNELS AS AFFECTED BY AIR TEMPERATURE

This investigation was conducted at EL-Borollous district, kafr EL-Sheikh Governorate, North Nile Delta area. The aim of this study was to find out the influence of air temperature on the corresponding transparent polyethylene low tunnel temperature as well as soil temperature at successive depths of 5, 10, 15 and 20 cm. Therefore, air and soil temperatures in the open field and under clear polyethylene low tunnel were recorded daily at 8 a.m., 11 a.m., 2 P.m. and 5 P.m. during the period of tunnel implementation (1 of Nov. through 31 of March, 2003 & 2004). Main results could be listed as follows: Both air and soil temperature raised gradually from 8.0 a.m. till 2.0 p.m. and then declined. The gap between maximum and minimum temperature was high for air at both open environment and under tunnel. This range was also higher at surface soil depth and it declined gradually with increasing soil depth. The most affected soil depth in relation with air temperature was the upper 5.0 cm. The relations between air and soil temperature could be expressed as follows: 1Low air temp. under tunnel (8. a.m), T temp 8 = 0.9066 (low open air temp 8 a.m, A tem 8) + 1.4388 R = 0.8874 2Open field soil temp at 5 cm. depth = 0.7006 (A tem 8) + 4.6587 R = 0.9065 3Tunnel soil temp, tunnel at 5 cm. depth (STD5) = 0.7141 (A tem 8) + 4.6101 R = 0.759 4STD5 = 0.6407 (T tem 8) + 5.8751 R = 0.7022 The listed equations provide the concern specialists of researchers, extension workers and / or farmers, with valuable knowledge about tunnel temperature for both air and soil as well as the corresponding values in the open surrounding conditions. Such data are useful to determine which crop should be cultivated based on soil temperature at the most dynamic depth of 5 cm.
Dynamics of a Standing Meander of the Subantarctic Front Diagnosed from Satellite Altimetry and Along-Stream Anomalies of Temperature and Salinity

Meanders formed where the Antarctic Circumpolar Current (ACC) interacts with topography have been identified as dynamical hot-spots, characterised by enhanced eddy energy, momentum transfer, and cross-front exchange. However, few studies have used observations to diagnose the dynamics of ACC standing meanders. We use a synoptic hydrographic survey and satellite altimetry to explore the momentum and vorticity balance of a Subantarctic Front standing meander, downstream of the Southeast Indian Ridge. Along-stream anomalies of temperature in the upper ocean (150–600 m) show along-stream cooling entering the surface trough and along-stream warming entering the surface crest, while warming is observed from trough to crest in the deeper ocean (600–1500 m). Advection of relative vorticity is balanced by vortex stretching, as found in model studies of meandering currents. Meander curvature is sufficiently large that the flow is in gradient wind balance, resulting in ageostrophic horizontal divergence. This drives downwelling of cooler water along isopycnals entering the surface trough and upwelling of warmer water entering the surface crest, consistent with the observed evolution of temperature anomalies in the upper ocean. Progressive along-stream warming observed between 600 and 1500 m likely reflects cyclogenesis in the deep ocean. Vortex stretching couples the upper and lower water column, producing low pressure at depth between surface trough and crest and cyclonic flow that carries cold water equatorward in the surface trough and warm water poleward in the surface crest (poleward heat flux). The results highlight gradient-wind balance and cyclogenesis as central to dynamics of standing meanders and their critical role in the ACC momentum and vorticity balance.
Inditex and Sustainability: Are Inditex’s commitments enough to make the company a sustainable fashion brand?

The purpose of this paper is to explore the relationship between Inditex’s fast fashion business model and their sustainability commitments, specifically looking at the environmental impact of Inditex’s supply chain. The methodology of the paper analyzes Inditex’s annual reports from 2014 through 2018 and their Commitment to Sustainability report published in 2019. I compare the commitments made in each report and look for any follow up information on these promises. My research aims to evaluate if Inditex’s business model can be considered sustainable or if their commitments and promises are a form of greenwashing. As a leader in the fast fashion industry, and a company that self-proclaims their leadership in sustainability, it is important to determine if Inditex can truly be a leader or if their attempts are just a way to distract consumers from their environmental impacts. Previous research shows that Inditex’s business model makes it a leader for brands of its kind and has been for some time. Their ability to design, manufacture, and transport apparel to their customers in such a short time keeps them ahead of their competitors. However, it is this business model that makes the company unsustainable. Despite commitments made and programs put in place, the company cannot be sustainable as long as their business model remains that of constant growth.
A Library of Large‐Eddy Simulations Forced by Global Climate Models

Advances in high‐performance computing have enabled large‐eddy simulations (LES) of turbulence, convection, and clouds. However, their potential to improve parameterizations in global climate models (GCMs) is only beginning to be harnessed, with relatively few canonical LES available so far. The purpose of this paper is to begin creating a public LES library that expands the training data available for calibrating and evaluating GCM parameterizations. To do so, we use an experimental setup in which LES are driven by large‐scale forcings from GCMs, which in principle can be used at any location, any time of year, and in any climate state. We use this setup to create a library of LES of clouds across the tropics and subtropics, in the present and in a warmer climate, with a focus on the transition from stratocumulus to shallow cumulus over the East Pacific. The LES results are relatively insensitive to the choice of host GCM driving the LES. Driven with large‐scale forcing under global warming, the LES simulate a positive but weak shortwave cloud feedback, adding to the accumulating evidence that low clouds amplify global warming.
Study on Image Detection Technique and its Application on Detecting Defects Nestingof Leather

The compositional principle and design concept of a computerized defects detecting nesting and cutting system for leather were introduced.The noise of leather texture images was wiped off by adopting wavelet packet decomposition,and the characteristic rectors of images were extracted using co-occurrence matrix,then the characteristic vectors were clustered by modified FCM.A valid function based on infra-class and inter-class variance to decide the number of regions was presented.The algorithm can exactly detect the defects of leather,and the consistence of the results of on-line detection and artificial detection is above 89.1%. The automatic detection and nesting were achieved.
A COMPARATIVE STUDY OF GRIT BETWEEN MALE AND FEMALE FENCERS OF MANIPUR

Grit is defined as perseverance and passion for long-term goals. The purpose of the present investigation was to compare the level of grit between male and female national fencers of Manipur. Forty (40) fencers (male = 20, female = 20) who represented Manipur in the national fencing championship were recruited as the subjects. The age of the subjects ranged from 17 to 25 years. Grit Scale (GS) developed by Duckworth and Quinn (2009) was administered on the subjects for collecting data. The obtained data was analysed by computing‘t’ ratio. Results of the study revealed that significant difference was not found between male and female fencers of Manipur to their level of consistency of interest, perseverance of efforts, and ambitions towards the attainment of long-term goals dimensions of grit.
Real-time measurement of track curvature based on vehicle attitude perception

Track curvature is a key parameter in many active control systems for rail vehicles. The real-time autonomous acquisition of track curvature is currently an engineering challenge in the field of rail transit. In this study, the cause of the geometric inertia effect (GIE) when the car body attitude is used to perceive the track curvature was explained by a theoretical derivation using the plane trajectory equation of the rail vehicle. Then, the bogie attitude rather than car body attitude was selected as the sensing signal due to weak GIE. In addition, a new algorithm for measuring the track curvature in real-time using the bogie yaw angular rate and the running velocity was proposed by combining the curvature compensation algorithm (CCA) and percentile filtering (PF) algorithm. Subsequently, the effectiveness of the proposed algorithm was verified through simulations. The results demonstrated that the proposed algorithm could effectively improve the measurement accuracy of the track curvature. Finally, the algorithm proposed in this study was validated based on running tests. The results of this study can provide a reference for the real-time measurement of track curvature.
The role of age on neuromuscular performance decay induced by a maximal intensity sprint session in a group of competitive endurance athletes

Age-related changes in the neuromuscular system functions may affect profoundly high-level athletes' performance across their careers. The present study aimed to analyse the fatiguing effect of a maximal intensity sprint session (MISS) on competitive athletes of different ages. Thirty-one competitive endurance athletes completed a knee extensors and flexors' maximal-voluntary-isometric-contraction (MVC) test before and after a maximal-intensity-sprint-session (MISS) consisting of 4x15s Wingate-tests. The data have been stratified considering three age categories (18-28, n=11, 29-38; n=10; 39-43, n=10). Overall, both quadricep and hamstring muscles early and late rate of torque development (RTD) dropped significantly more than the maximal voluntary torque (MVT) (p<.05). Age had a significant effect on early RTD, with older athletes exhibiting greater RTD (p<.05). A significant effect of age also emerged for the changes in surface sEMG variables, in which the frequency spectrum variables dropped significantly more than the sEMG amplitude (RMS) (p<.05). The dynamics of changes in neuromuscular performance markers after a MISS suggested that getting older competitive athletes may potentially experience a greater loss in early explosive strength compared to maximal or late explosive strength.
Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review

Background Globally, glaucoma is the second leading cause of blindness. Detecting glaucoma in the early stages is essential to avoid disease complications, which lead to blindness. Thus, computer-aided diagnosis systems are powerful tools to overcome the shortage of glaucoma screening programs. Methods A systematic search of public databases, including PubMed, Google Scholar, and other sources, was performed to identify relevant studies to overview the publicly available fundus image datasets used to train, validate, and test machine learning and deep learning methods. Additionally, existing machine learning and deep learning methods for optic cup and disc segmentation were surveyed and critically reviewed. Results Eight fundus images datasets were publicly available with 15,445 images labeled with glaucoma or non-glaucoma, and manually annotated optic disc and cup boundaries were found. Five metrics were identified for evaluating the developed models. Finally, three main deep learning architectural designs were commonly used for optic disc and optic cup segmentation. Conclusion We provided future research directions to formulate robust optic cup and disc segmentation systems. Deep learning can be utilized in clinical settings for this task. However, many challenges need to be addressed before using this strategy in clinical trials. Finally, two deep learning architectural designs have been widely adopted, such as U-net and its variants.
Theory of planned behavior in predicting the construction of eco-friendly houses

PurposeThe present study aimed to explore the applicability of theory of planned behavior in construction of eco-friendly houses.Design/methodology/approachStudy utilized cross-sectional correlational research design, collected data from 269 adult house owners of Kerala, India, with the help of a self-report measures namely, attitude towards eco-friendly house construction, subjective norm, perceived behavioral control, behavioral intention to build eco-friendly houses, check list of eco-friendly house and socio-demographic data sheet. Descriptive statistics, Karl Pearson product moment correlation, confirmatory factor analysis and mediation analysis with the help of AMOS were used to describe the distribution of study variables and to test the research hypotheses and proposed model.FindingsStudy revealed that behavioral intention to build eco-friendly house was the immediate and strongest predictor of actual behavior of constructing an eco-friendly house. Behavioral intention mediated the relationship of attitudinal variables, normative variables and control variables with the behavior of constructing eco-friendly houses.Research limitations/implicationsThe results vouched the applicability of theory of planned behavior as a comprehensive model in explaining the behavior of eco-friendly house construction.Practical implicationsResults of the study iterates the utility of attitudinal, normative and control factors in enhancing the choice of constructing eco-friendly houses. The results can be applied to develop a marketing tool to enhance the behavior of choosing or constructing eco-friendly houses in the population.Originality/valueRole of conventional concrete construction in climate crisis is unquestioned, and adopting eco-friendly architecture is a potential solution to the impending doom of climate crisis. Behavioral changes play a significant role in the success of global actions to curb the climate crisis. Present study discusses the role of psychological variables in constructing eco-friendly houses.
Making Most of Eldiru as Learning Media in The Pandemic Era

Pandemic condition drastically changes the world system. All universities close their face-to-face learning process. They change their learning activity into an online one. Learning management system (LMS) is developed in most universities to deal with the condition. Universitas Jenderal Soedirman as one of universities in Indonesia also develops its LMS to facilitate the learning process, called eLDirU (e-Learning Jenderal Soedirman University). eLDirU is an online learning platform functioned as a digital literacy learning innovation for native digital generation. It has many features that, indeed, can make the learning process easier. It has quite complete menus, such as assignment for comprehending the material, attendance for checking students’ attendance, BigBlueButton for video conferencing, forum for chatting and having question-and-answer section for lecturers and students, Google Meet for Moodle for ease access in synchronous class, URL for linking more medias in helping students learn more, quiz for recording students’ mastery about the topic in form of test, and others. It is also handy because both students and lecturers can download it in their smartphones and reach their learning classes wherever they are. eLDirU can be applied both for synchronous and asynchronous classes. It also make lecturers feel easy in handling many classes.
Identitas Moral sebagai Moderator Pengaruh antara Moral Disengagement dengan Kecurangan

Kecurangan merupakan fenomena negatif yang terjadi di berbagai konteks. Penelitian ini bertujuan untuk menemukan apakah kecurangan dapat dipengaruhi oleh moral disengagement dan pengaruh tersebut dapat dimoderasi oleh identitas moral. Sebanyak 213 orang mahasiswa dari 7 universitas di Indonesia mengikuti penelitian ini. Peneliti mengukur kecurangan dengan Tugas Matriks Angka yang pernah digunakan oleh Bloodgood, Turnley, dan Mudrack (2008); Gino, Ayal, dan Ariely (2009). Moral disengagement diukur menggunakan adaptasi dari Moral Disengagement Scale yang dirancang oleh Detert, Treviño, dan Sweitzer (2008). Identitas moral diukur dengan adaptasi dari Moral Identity Questionnaire yang dikembangkan Black dan Reynolds (2016). Penelitian ini menemukan bahwa tidak terdapat pengaruh signifikan moral disengagement terhadap kecurangan (odds ratio = 1,111; n = 213; p 0,05; two-tailed). Peneliti menduga salah satu penyebab hasil tidak terdapat pengaruh signifikan moral disengagement terhadap kecurangan karena variabel moral disengagement sangat bergantung pada variabel lain. Lebih lanjut, identitas moral tidak memoderasi pengaruh moral disengagement terhadap kecurangan (odds ratio = -1,140; p 0,05; two-tailed). Hasil ini diduga karena adanya dampak dari peran yang dijalani oleh partisipan. Pada penelitian ini, ada kemungkinan partisipan menganggap dirinya menjalani peran sebagai mahasiswa sehingga mereka tidak melakukan kecurangan. Kesimpulannya tinggi rendahnya tingkat moral disengagement seseorang tidak berdampak pada tingkat kecurangan yang terjadi. Sementara itu, hasil analisis interaksi antara moral disengagement dan identitas moral tidak menunjukkan pengaruh yang signifikan. Dengan kata lain, identitas moral tidak memoderasi pengaruh moral disengagement terhadap kecurangan. Perlu dilakukannya konstruksi alat ukur moral disengagement dan identitas moral pada situasi dan konteks yang diinginkan untuk meningkatkan ketepatan data.
AutomAl 6000: Semi-automatic structural labeling of HAADF-STEM images of precipitates in Al-Mg-Si-(Cu) alloys

The 6xxx Al alloy series, when subject to age hardening, can present a rich collection of precipitate structures, most extending as needles, laths or rods along the <100> directions in the aluminium matrix. These precipitates significantly influence properties of the bulk material, most notably ductility and strength, and are therefore the objective of extensive research aimed at better understanding the precipitation sequence of alloys during aging. The atomic structures of the majority of the phases that appear in this system, can be described as bundles of atomic columns following the matrix periodicity along <100> Al, where most are hijacked by the solute elements. It has been found that the columns in the 6xxx system precipitates are commonly characterized by a set of simple structural principles or rules, that allow identification of the species and the relative displacement (longitudinal jumps) of the atomic columns that comprise the entire cross-section structure of the needles. With some exceptions, these rules have proved to be useful for not only analyzing the phases in this system, but also to characterize disordered precipitates, matrix/precipitate interfaces, and hybrid precipitates containing multiple phases. Modern research in the field of nano-scale material science is equipped with increasingly sensitive tools and techniques, of which atomic resolution aberration-corrected high-angle annular dark field scanning transmission electron microscopy (HAADF-STEM) plays an important part. With the goal of analyzing such HAADF-STEM images of particle cross-sections in the Al-Mg-Si-(Cu) system, we have developed the stand-alone software AutomAl 6000. AutomAl 6000 features, amongst other, a method for column detection, an algorithm based on the symbiosis of a statistical model and the rules formulated in a digraph-like framework, as well as an approachable graphical user interface. From a 2D projected HAADF-STEM image of a cross-section precipitate, the software can semi-autonomously determine the 3D column positions and column species wherever the rules are applicable. In turn, AutomAl 6000 can then be used to display atomic overlays of the precipitates, analyze or display various other representations of the data. Links to the active repository, as well as other resources can be found at http://automal.org.
Effect of Platelet-Rich Plasma on Autologous Chondrocyte Implantation for Chondral Defects: Results Using an In Vivo Rabbit Model

Background: Articular cartilage repair remains challenging despite the availability of techniques, including autologous chondrocyte implantation (ACI) for repairing large cartilage defects. Platelet-rich plasma (PRP) therapy, a novel therapy focused on chondrocyte regeneration, needs to be investigated regarding its potential to improve the outcomes of ACI. Purpose: To examine the effect of PRP therapy on the outcomes of cartilage repair using the ACI procedure in a rabbit model of knee joint cartilage damage. Study Design: Controlled laboratory study. Methods: A total of 30 knees in 15 Japanese White rabbits (joint cartilage damage model) were divided into nontreatment (n = 7), PRP (n = 8), ACI (n = 7), and combined ACI and PRP (n = 8) groups. At 4 weeks and 12 weeks postoperatively, histological and visual examination of the surgical site was performed, and the regenerated cartilage and calcified bone areas were measured by imaging the specimens. Results: Pretransplantation evaluation in the cultured cartilage showed the histological properties of hyaline cartilage. At 4 weeks postoperatively, the regenerated cartilage area at the surgical site showed a larger safranin O–positive area in the ACI group (2.73 ± 4.46 mm2) than in the combined ACI and PRP group (1.71 ± 2.04 mm2). Calcified bone formation in the ACI group was relatively lower than that in the other groups. Cartilage repair failure occurred in all groups at 12 weeks postoperatively. Conclusion: The authors found no positive effects of PRP on the outcomes of ACI in a rabbit model. There was a smaller safranin O–positive region with the addition of PRP to ACI compared with ACI alone. In the subchondral bone, bone formation might have been promoted by PRP. Clinical Relevance: Administering PRP at the time of ACI may not have a positive effect and may have deleterious effects on cartilage engraftment and regeneration.
Belonging and loneliness as mechanisms in the psychological impact of discrimination among transgender college students

Abstract Although research has consistently shown that individuals who identify as transgender have increased rates of mental health difficulties compared to their cisgender peers, less is known about the psychological mechanisms that convey this heightened risk. The data analyzed here were collected through the Wake Forest Well Being Assessment, which was conducted at 28 U.S. colleges and universities. The sample included 372 transgender college students who completed measures of discrimination, belonging, loneliness, depression, and anxiety. The results demonstrated an indirect association such that participants who reported more domains of discrimination reported lower belonging, which was associated with greater loneliness, which was associated with greater depression and anxiety. Ultimately, the findings of the present study provided further support of the psychological mediation model and can be used to inform interventions.