Miracle-dz/UniFAR-FTUs huggingface dataset:
UAV path planning in absence of GPS signals

UAVs path planning is usually based on availability of GPS signals for real time positioning. However, there many situations where the GPS signal might not be available either due to interference, or lack of enough number of available satellites at the desired area. In urban environment, the GPS signals may not be available due to high rise building. However, such environment is usually dense with cellular signals from largely distributed cellular tower all over the area. The cellular signals from different technologies such as CDMA and LTE are already available in addition to long time existing GSM technology. In this work, we propose to use the cellular signals from different towers and sectors to provide localization information to the UAV in addition to environment canopy database where heights of building, trees, etc are used obstacle database in path planning algorithm. The work is to show how to build three dimensional radio frequency maps either for one or different modes of technologies and how these RF maps can be used by UAV to estimate its position in 3D space and used by the guidance, navigation and control system of the UAV to position itself and determine trajectory selection in three dimension space of an urban environment.
The Impact of Artificial Intelligence Technology Stimuli on Sustainable Consumption Behavior: Evidence from Ant Forest Users in China

With the global economy and population growing rapidly, the problems of excessive resource consumption and environmental pollution have become increasingly serious. Thus, the need to promote sustainable development has become more urgent. Sustainable consumption behavior plays a crucial role in achieving sustainable development goals as it can significantly reduce both greenhouse gas emissions and resource consumption. Artificial intelligence technology has broken the limitations of time and space in environmental protection. For example, the Ant Forest leverages the design of “green energy” to inspire the public to engage in energy-saving and emission-reducing activities. To examine the impact mechanisms of customers’ sustainable consumption behavior, this study applies the stimulus-organism-response theory and the theory of planned behavior. The study conducts regression analysis and bootstrapping methods on a sample consisting of 280 Ant Forest users to explore the influence of artificial intelligence technology stimuli on sustainable consumption behavior and the mediating effects of customer-perceived value and customer stickiness. The results demonstrate a “linkage effect” between online green consumption habits and offline sustainable consumption behavior. Moreover, the study finds that passion and usability indirectly promote offline sustainable consumption behavior through customer-perceived value and customer stickiness. Specifically, the influence of customer-perceived emotional value (β = 0.121; β = 0.100) is stronger than that of customer-perceived social value (β = 0.043; β = 0.038). Due to the limitation of the sample size, future research should broaden its scope by incorporating additional variables, specifically customer-specific factors. Furthermore, more advanced research methods, such as big data analysis, should be employed to comprehensively explore the influencing factors of sustainable consumer behavior.
Data stream clustering by fast density-peak-search

Data stream mining has recently been studied extensively in the literature. Many clustering algorithms were proposed to handle massive streams of data. However, many of these algorithms may not be as efficient as one desires for data streams, as they typically require a number of iterations in their implementations. In this paper, we will propose a new data stream clustering algorithm, based on the fast density-peak-search method. It does not require any iterations in its implementation, and therefore is most suitable for large streams of data. The comparisons of numerical illustration as well as a real example will be made with other alternative data stream algorithms.
Effect of the Addition of eCG on day 14 Post-Ftai on the Pregnancy Rate in Cows from The Ecuadorian Amazon

The effect of the addition of eCG on day 14 after FTAI was evaluated in 200 cows from the Ecuadorian Amazon, with a calf at the foot, of Brown Swiss breeds and their crosses (Bos indicus). Two treatments (T): T1 (J-Synch + eCG day 6) and T2 (J-Synch + eCG day 14 post-FTAI). The pregnancy rate for T1 (57%) and T2 (48%) without showing a significant difference (p≥0.05). The pregnancy percentage was higher (62.5%) in cows in estrus (125/200). Plasma progesterone levels differ between T1 and T2, evaluated on day 14: (7.1 ng/mL); (13.5 ng/mL), respectively, as well as on day 30: T1 (9.6 ng/mL) and T2 (13.7 ng/mL), (p≤0.05). The diameter of CL measured on day 14 (20.8 ± 3.3 mm) and day 30 (28.2 ± 6.2 mm) differed significantly (p≤0.05). Estrous expression is positively associated with an increased pregnancy rate, but improving eCG on day 14 post-FTAI does not improve the pregnancy rate in Ecuadorian Amazon cows.
Review of the Relationship Between High School Students’ Career Adaptability Levels and Their Attachment Styles

This research is a descriptive study in the relational screening model that aims to examine the relationship between the career adaptability levels and attachment styles of high school students. The study group consists of a total of 582 students, 362 girls and 220 boys, who are attending the 9th, 10th, 11th and 12th grades in 4 high schools in the central districts of Adana. The age range of the participants is between 14 and 19 years old. In the study, data on the career adaptability of adolescent students were obtained by using the ‘Career Adaptability Skills Scale,’ the data on attachment styles were obtained by using the ‘Relationship Scales Questionnaire,’ and the data on personal information were obtained by using the ‘Personal Information Form’ prepared by the researcher. In the analysis of the data of the study, Pearson Correlation Coefficient, t-test, analysis of variance and standard multiple regression analysis techniques were used. According to the results of the research, while there was a significant relationship between career adaptability abilities and secure, fearful and obsessive attachment, it was seen that there was no relationship with indifferent attachment. When the results of multiple regression analysis are examined, it is seen that attachment scale sub-dimensions are a significant predictor of career adapt-abilities. The only predictor of high school students’ career adapt-abilities is secure attachment. Other variables were found to be meaningless.
Analysis of Jersey versus Holstein breed profitability on north central US dairies

Graphical Abstract Summary: The 2 most popular dairy breeds in the United States are Holstein and Jersey. These 2 breeds bring different attributes to dairies, leading us to investigate which breed is more profitable. Data from 3 dairy farms managing both Jersey and Holstein cows were collected and analyzed using comparative budgets. Additionally, sensitivity analysis was performed to identify factors with the potential to change profitability conclusions. Evaluating the breeds in a north central US context, on the same farms with the same management, Holstein cows were more profitable than Jersey cows on each of the 3 farms, with an average advantage of $456 per cow annually.
The Language of Cyber Gender Anonymity on Hololive Virtual Youtubers

Hololive Production is a virtual YouTuber agency which accommodates 71 active talents (VTubers) with 65 million subscribers on YouTube. Hololive protects its talents’ privacy by giving them unreal names and avatars. Some viewers intend to find real identities of the talents, some others ignore the real personalities, while many of them keep secret although they know the real person behind the unreal avatar. Then, how is cyber gender anonymity characterized on the privacy of Hololive Virtual Youtubers? Using qualitative method, this article indicates necessity of cyber gender anonymity to keep Hololive’s talents’ identities safe. This is supported by Judith Butler’s posture of gender and Philip Zimbardo’s deindividuation. Unreal characters and names for VTubers are for anonymities but some viewers are doxing and making fun of them. Viewers want the streamers to be open and clear, but Hololive VTubers want to be anonymous and opaque. That idea contradicts sexual differences and gender anonymities that include tensions of being rigid and flexible. In conclusion, Hololive does not live static condition, but moves through ambiguous avatar of cyber anonymity. Anonymity could always be endangered; laws protect them but attacks to psychological condition is inevitable.
The Vital Function of Motivation and Attitude in Learning English as a Foreign language in the Moroccan University

Most academic researchers argued that learning English necessitates a number of components to effectively enhance the learning process. The major components that are highly demanding are mainly motivation and attitude. This study aims to check upon the significant role of the previously mentioned components in learning English as a foreign language and to check whether motivation and attitude are highly required for an efficient learning process. For the data collection procedure, a google form questionnaire was designed and distributed to respondents through the social media applications, such as WhatsApp, Facebook and Messenger too. The respondents of this study are Moroccan university students affiliated to Moulay Ismail University in Meknes in Morocco, more precisely the Faculty of Letters and Human Sciences as well as the Faculty of Sciences in Meknes in Morocco. For the research outcomes of the study, respondents were aware about the requirement of enhancing their level in English. They held an encouraging attitude towards the language. They illustrated that they have become tolerant and open-minded in their process of learning. They also assumed that English is a global language and they are studying it for various reasons, such as passing exams successfully, delivering talks and publishing articles in internationally indexed journals, and settling in a foreign country whose English is the mother tongue of its native speakers. Consequently, they are adopting intrinsic/extrinsic and instrumental/integrative motivation clusters. Likewise, they argued that they ought to practice the language inside and outside the classroom setting to become fluent in English; otherwise, it will be hard for them to achieve an excellent level in the learning process. At last, it can be deduced that students’ motivation and positive attitude are tremendously relevant for an effective learning process of a foreign language.
Stress-Induced Changes in the Endogenous Opioid System Cause Dysfunction of Pain and Emotion Regulation

Early life stress, such as child abuse and neglect, and psychosocial stress in adulthood are risk factors for psychiatric disorders, including depression and anxiety. Furthermore, exposure to these stresses affects the sensitivity to pain stimuli and is associated with the development of chronic pain. However, the mechanisms underlying the pathogenesis of stress-induced depression, anxiety, and pain control remain unclear. Endogenous opioid signaling is reportedly associated with analgesia, reward, addiction, and the regulation of stress responses and anxiety. Stress alters the expression of various opioid receptors in the central nervous system and sensitivity to opioid receptor agonists and antagonists. μ-opioid receptor-deficient mice exhibit attachment disorders and autism-like behavioral expression patterns, while those with δ-opioid receptor deficiency exhibit anxiety-like behavior. In contrast, deficiency and antagonists of the κ-opioid receptor suppress the stress response. These findings strongly suggest that the expression and dysfunction of the endogenous opioid signaling pathways are involved in the pathogenesis of stress-induced psychiatric disorders and chronic pain. In this review, we summarize the latest basic and clinical research studies on the effects of endogenous opioid signaling on early-life stress, psychosocial stress-induced psychiatric disorders, and chronic pain.
Understanding the Impact of Partial Factorial Invariance on Selection Accuracy: An R Script

Much of the previous literature on partial measurement invariance has focused on (a) statistically detecting noninvariance, and (b) modeling partial invariance to obtain correct inferences for latent mean comparisons across groups in a single research study. However, very little guidance is provided on the practical implications of partial invariance on the instrument itself in the context of selection. In a frequently cited paper, Millsap and Kwok (2004) provided a framework for evaluating the impact of partial invariance by quantifying the magnitude of noninvariance on the efficacy of the test for selection purposes, yet our literature review found that only a few of the citations have fully captured the essence of Millsap and Kwok’s method. In this article, we briefly review the selection accuracy analysis for partial invariance and provide a user-friendly R script (also available as a Web application) that takes parameter estimates as input, automatically produces summary statistics for evaluating selection accuracy, and generates a graph for visualizing the results. Hypothetical and real data examples are provided to illustrate the use of the R script. The goal of this article is to help readers understand Millsap and Kwok’s framework of evaluating the impact of partial invariance through an accessible computer program and step-by-step demonstrations of the selection accuracy analysis.
An infrared/submillimetre perspective on Active Galactic Nuclei

This thesis presents a Far Infrared / submillimeter view on local Active Galactic Nuclei (AGN). Two aspects are discussed: the potential to detect the molecular torus through high rotational transitions in CO, and the driving of molecular outflows. High-J CO lines arise from dense and warm regions, and could therefore trace the gas around AGN that is hold responsible for absorbing the X-rays from the AGN. Whether this is possible with lines as high as CO(40-39), was tested on the nearby Compton-thick AGN NGC 1068. A deep observation with the Photodetector Array Camera and Spectrometer (PACS) onboard the Herschel Space Observatory resulted in a non-detection of CO(40-39). A radiative transfer model of X-ray dominated regions clarifies the non-detection: with an X-ray input spectrum typical of AGN, the CO(40-39) line only reaches the detection limit at a column density N_H = 10^25 cm^-2. If any dust is present in the gas, it will absorb the CO(40-39) emission over such a large column density. Very high CO rotational lines are therefore not ideal tracers of AGN tori. The second topic concerns galaxy-scale molecular outflows in local Ultra Luminous Infrared Galaxies (ULIRGs). The 22 ULIRGs in our sample are gas-rich mergers with active star formation and AGN activity. Most of these sources have fast (> 1000 km/s) outflows as detected in OH 119 micrometer, thought to be AGN-driven based on their high velocity and their relation between outflow velocity and AGN luminosity. Here it is investigated whether these outflows are traced well through broad wings in the [CII] fine structure line at 158 micrometer. Fourteen out of 22 objects show broad wings in [CII]. Taking only those objects with an outflow detected in both [CII] and OH119, we find a trend between two outflow velocities, as well as between the outflow masses derived from both tracers. We conclude that [CII] is a good tracer of molecular outflows. This is particularly useful at high redshift, where other tracers like OH119 and CO(1-0) are harder to observe. IRAS F08572+3915 is one of the ULIRGs which has a particularly fast and massive molecular outflow. It is studied here in more detail, using high spatial resolution observations of CO(1-0) which were taken with NOEMA (formerly known as Plateau de Bure Interferometer). We find that the source hosts a biconical outflow, aligned with the kinematic major axis of the disk. Possibly the outflow is coplanar, stripping gas off the disk. Spatially resolved observations of Na I D, H alpha and warm H2 show that the atomic and ionized gas overlap with the molecular outflow. The CO observations also reveal a second outflow, at about 6 kpc from the galaxy. If this is an AGN-driven outflow as well, it would imply AGN variability over time-scales of a few megayears. The outflow is slowing down at a rate of ~300 km/s/kpc, perhaps as result of gravitational pull and the absence of a driving mechanism.
Factors Affecting Students’ Intentions to Use the University's Electronic Payment System (E-PS)

Purpose: Most universities prioritize online payment administration because of advances in information and communication technologies, especially for online¬_banking transactions. Benefits of online banking services, such as transactions via Internet banking are very convenient compared to traditional payment methods. On the other side, in traditional payment methods transactions must queue and come directly to the bank. This study was done to find out what factors in Semarang City affected the adoption of university E-PS as online banking. Methods: 123 students have participated in this research. Six characteristics were considered in a new study model that examined how students’ intention to use E-PS was affected: convenience, perceived usefulness, risks, perceived trust and reputation. To validate the research model, the structural equation model approach using PLS-SEM was applied. Result: The empirical result showed that perceived convenience, perceived usefulness and trust had e significant positive relationship with students’ intention to use the University’s E-PS. The empirical results showed that perceived convenience, perceived usefulness, and trust had a significant positive relationship with students' intentions to use the E-PS university. Perceived convenience was also found to have a positive and significant effect on the perceived usefulness of students using E-PS. However, the perceived risks showed a non-significant negative relationship with students’ intentions to use E-PS. Novelty: While previous studies have explored the intentions to see E-PS. This research contributes to the literature by investigating the specific factors that influence the adoption of E-PS in the context of tertiary institutions. Additionally, this research provided empirical evidence on the relationship between perceived convenience and perceived convenience and perceived usefulness of using E-PS in universities. Overall, this research offers a new perspective on the adoption of E-PS in tertiary institutions and contributes to the development of strategies to improve the adoption and use of E-PS in universities.
Effect of 10-Day Treatment with 50 mg Prednisolone Once-Daily on Haemostasis in Healthy Men—A Randomised Placebo-Controlled Trial

Synthetic corticosteroids are widely used due to their anti-inflammatory and immunosuppressant effects. Their use has been associated with venous thromboembolism, but it is unknown whether thromboembolism has a causal relationship with corticosteroid treatment. In a randomised, double-blind, placebo-controlled trial in normal to overweight healthy men, the effect of the corticosteroid prednisolone on haemostasis using either 50 mg prednisolone or matching placebo once daily for ten days was investigated. The primary outcome was a change from baseline in the viscoelastic measurement maximal amplitude of clot in kaolin-activated thromboelastography (TEG). Changes from baseline in other TEG measurements, D-dimer, von Willebrand factor (VWF) antigen, and ristocetin cofactor activity (RCo), antithrombin, protein C, prothrombin, fibrinogen, INR, APTT, and platelet count were secondary outcomes. Thirty-four men participated in this study. Compared to placebo, prednisolone treatment did not affect maximal amplitude of clot (difference −0.77 (95% confidence interval (CI) −2.48, 0.94) mm, p = 0.37, missing: n = 2), but it altered VWF antigen (28%, p = 0.0004), VWF:RCo (19%, p = 0.0006), prothrombin (5%, p = 0.05), protein C (31%, p < 0.0001), antithrombin (5%, p = 0.013), and fibrinogen (−15%, p = 0.004). Thus, prednisolone treatment did not alter TEG-assessed maximal amplitude of clot, despite that it affected prothrombotic markers (increased prothrombin, VWF antigen, VWF:RCo, prothrombin, and decreased fibrinogen) and increased antithrombotic markers (protein C and antithrombin).
Analyzing multiple vector autoregressions through matrix-variate normal distribution with two covariance matrices

Abstract This article proposes a new approach to analyze multiple vector autoregressive (VAR) models that render us a newly constructed matrix autoregressive (MtAR) model based on a matrix-variate normal distribution with two covariance matrices. The MtAR is a generalization of VAR models where the two covariance matrices allow the extension of MtAR to a structural MtAR analysis. The proposed MtAR can also incorporate different lag orders across VAR systems that provide more flexibility to the model. The estimation results from a simulation study and an empirical study on macroeconomic application show favorable performance of our proposed models and method.
Adaptive Differential Wearing for Read Performance Optimization on High-Density nand Flash Memory

With cost reduction and density optimization, high-density NAND flash memory has been widely deployed in data centers and consumer devices. However, this trend has significantly degraded the read performance and lifetime of high-density NAND flash memory during the last decade. Previous works proposed to optimize flash lifetime with wear leveling (WL) and optimize read performance with reliability improvement. Although WL can improve flash lifetime, it leads to the reliability of all blocks in 3-D NAND flash decreasing simultaneously. The reliability and read performance will be degraded with flash wearing. To solve this problem, an adaptive differential wearing (ADWR) scheme is proposed to optimize the read performance and lifetime in this work. The basic idea of ADWR is to determine the size of the high-reliability area to serve hot reads based on workload characteristics. Specifically, first, a differential wearing scheme is proposed to construct different reliability areas based on the characteristics of the data. Second, a lifetime model is constructed for the ADWR to clarify the lifetime impact. Based on this, a lifetime optimization scheme is proposed to improve the flash lifetime. Finally, a differential refresh scheme is proposed to reduce the impact of read disturbance on read performance. The experiments on real-life workloads show that ADWR achieves encouraging read performance optimization with negligible impacts on the lifetime of 3-D TLC NAND flash memory.