Miracle-dz/UniFAR-FTUs huggingface dataset:
What Determines E-Loyalty and E-Trust of Indonesian Muslim Lecturers Using Video Conference?

This study examines the effect of perceived privacy and perceived security on e-trust and e-loyalty of Muslim lecturers using video conference media. Additionally, the role of e-trust as a mediator in this relationship and the role of consumer innovativeness as a moderator of the relationship between e-trust and e-loyalty are investigated. The samples consisted of 250 respondents selected using a purposive sampling technique. The data was collected by a questionnaire survey and analyzed in AMOS using Structural Equation Modelling. The results indicate that perceived privacy and security considerably and favorably influenced e-trust. Similarly, e-trust and perceived privacy have a strong positive effect on e-loyalty, although perceived security has no effect. Moreover, e-trust could moderate the impact of perceived privacy on e-loyalty, but not the impact of perceived security on e-loyalty. Meanwhile, consumer innovation could not regulate the link between e-trust and e-loyalty. The findings have implications for establishing the concept of e-trust and customer innovativeness in the e-loyalty model. ==========================================================================================================ABSTRAK – Apa Determinan E-Loyalitas dan E-Kepercayaan Dosen Muslim Indonesia dalam Menggunakan Video Conference? Penelitian ini menguji pengaruh persepsi privasi dan keamanan yang dirasakan terhadap e-kepercayaan dan e-loyalitas dosen muslim dalam menggunakan media video konferensi dan juga menguji peran e-kepercayaan sebagai mediasi dalam hubungan ini dan peran keinovatifan konsumen sebagai moderasi hubungan antara e-kepercayaan dan e-loyalitas. Sampel yang diambil sebanyak 250 responden dengan pendekatan purposive sampling dan metode analisis data yang digunakan adalah Structural Equation Modelling menggunakan AMOS. Hasil penelitian menunjukkan bahwa persepsi privasi dan persepsi keamanan berpengaruh positif dan signifikan terhadap e-kepercayaan. Persepsi privasi memiliki pengaruh positif dan signifikan terhadap e-loyalitas, persepsi keamanan tidak berpengaruh terhadap e-loyalitas, dan e-kepercayaan berpengaruh positif dan signifikan terhadap e-loyalitas. E-kepercayaan dapat memediasi efek privasi yang dirasakan pada e-loyalitas tetapi tidak memediasi pengaruh keamanan yang dirasakan pada e-loyalitas. Demikian juga, inovasi konsumen tidak dapat memoderasi hubungan e-kepercayaan terhadap e-loyalitas. Penelitian ini berimplikasi pada pengembangan konsep e-kepercayaan dan keinovatifan konsumen dalam model e-loyalitas.
The indirect effects of pre-adolescents’ personality on shyness through emotion regulation

ABSTRACT The present study investigated the indirect effects of personality (Big Five) on shyness through two emotion regulation strategies – emotion suppression and cognitive reappraisal – in a community sample of 256 Greek pre-adolescents. Results showed that shyness was positively predicted by both regulation strategies, with emotion suppression constituting the link between shyness and low scores on extraversion and openness. Neuroticism also positively predicted shyness but had no effect through emotion regulation. These associations between personality, emotion regulation and shyness are discussed with respect to the extant literature and relevant theoretical implications.
MultiDrizzle: An Integrated Pyraf Script for Registering, Cleaning and Combining Images

We present the new PyRAF-based ‘MultiDrizzle’ script, which is aimed at providing a one-step approach to combining dithered HST images. The purpose of this script is to allow easy interaction with the complex suite of tasks in the IRAF/STSDAS ‘dither’ package, as well as the new ‘PyDrizzle’ task, while at the same time retaining the flexibility of these tasks through a number of parameters. These parameters control the various individual steps, such as sky subtraction, image registration, ‘drizzling’ onto separate output images, creation of a clean median image, transformation of the median with ‘blot’ and creation of cosmic ray masks, as well as the final image combination step using ‘drizzle’ . The default parameters of all the steps are set so that the task will work automatically for a wide variety of different types of images, while at the same time allowing adjustment of individual parameters for special cases. The script currently works for both ACS and WFPC2 data, and is now being tested on STIS and NICMOS images. We describe the operation of the script and the effect of various parameters, particularly in the context of combining images from dithered observations using ACS and WFPC2. Additional information is also available at the ‘MultiDrizzle’ home page: http://www.stsci. edu/∼koekemoe/multidrizzle/ Introduction The MultiDrizzle task is designed to provide a seamless, integrated approach to using all the various tasks in the IRAF/STSDAS dither package to register, clean, and combine dithered images. It has quite a few parameters but in principle can be run very simply from the PyRAF command line, specifying only the output filename and an input file list, e.g.: multidrizzle output=‘outputfilename’ filelist=‘files.lis’ The other parameters can be specified on the PyRAF command line or alternatively can be edited using the standard IRAF ‘epar’ mechanism before running the task. It is designed to carry out the following steps, either in a single pass or alternatively by selecting various steps individually: 1. StaticMask Identify negative bad pixels, based on examining all the images, and include them in the dq file 2. SkySub Sky-subtract each frame 3. Driz Separate Drizzle the input images onto separate, registered outputs (using shifts computed from the headers) 4. Median Create a median image from the separate drizzled images 5. Blot Blot the median image back to the original input frames 6. Driz cr Use each blotted image to create a derivative image, and compute CR masks 7. Driz Combine Do the final drizzle combination Here we describe the details of the parameters involved in running each of these steps. Space Telescope European Coordinating Facility, Karl-Schwarzschild-Str. 2, Garching, D-85748, Germany
Measurement of neutrino oscillation with KamLAND

A measurement of neutrino oscillation based on a 599 ton-year exposure of the Kamioka Liquid-scintillator Anti-Neutrino Detector (KamLAND) is presented. In the absence of oscillation, we expect 310.0±23.1 reactor electron-antineutrinos (νe’s) with energies E > 3.4 MeV, and an additional 13.2 ± 5.9 background events. Only 226 events were detected, corresponding to νe disappearance at the 99.96% CL. Interpreted in terms of two flavor neutrino oscillations ν̄e ↔ ν̄x, the best fit to the KamLAND data gives a mass-squared difference ∆m = 8.05 −0.72 × 10−5 eV and a mixing angle sin 2θ = 0.68 −0.22. These values are in excellent agreement with the Large Mixing Angle solution to the “solar neutrino problem”. The distortion of the measured spectral shape is consistent with neutrino oscillation, and disagrees with the un-oscillated spectral shape at 98.2% significance. Assuming CPT invariance, a combined analysis of solar neutrino results and the KamLAND spectrum yields the precision measurement ∆m = 7.86 −0.59 × 10−5 eV, tan θ = 0.391 −0.034.
Realizing UN decade on ecosystem restoration through a nature-based approach: A case review of management of biological invasions in protected areas

As the influx of different invasive species and their spread to new areas increases, there is a need for a rigorous and relevant scientific evidence-based control and restoration (EBCR) approaches to inform practical decisions and policymaking. While evidence-based decision is gaining popularity in science and policy, its potential for transformative change especially in the management of invasive plant species remains unexplored. Control and restoration of areas invaded by invasive plant species in natural and protected ecosystems require such decisions. Here, we provide a framework to guide how EBCR can contribute to transformative change and we argue that upscaling existing EBCR practices in areas invaded by invasive plant species (especially in protected areas (PAs)) requires coalitions of interdisciplinary science, public, private, and civil society actors with a common goal. Since actors’ roles and stakeholder interactions are dynamic, to achieve durable impacts, the upscaling process must continually engage and involve actors, while maintaining a balance of incentives among them. Social and cultural dimensions of local communities as well as their indigenous and local knowledge need to be incorporated. Pathways to upscaling EBCR may involve leveraging adaptive governance, integrating successful initiatives and lessons into public policy and practices, or reinforcing governance and management-led change with private efforts. We identify general lessons from (complex) PAs for successful upscaling of EBCR and illustrate the components of our framework through a novel application of a nature-based approach (NbA) in PAs invaded by invasive plant species.
Local is now national: The Athletic as a model for online local news

Through the lens of disruptive innovation, the present study explores a potential model for local journalism—one that has proven particularly successful for sports journalism in The Athletic. The present study reports on in-depth interviews with Athletic employees across all facets of the organization ( n = 49), and argues that the key to The Athletic’s success is reflected in its emphasis on implementing a national infrastructure for local reporting, and employing journalists already embedded in local communities. The article concludes with a rudimentary rendering of how this model could be implemented for local news.
Versatile articulated aerial robot DRAGON: Aerial manipulation and grasping by vectorable thrust control

Various state-of-the-art works have achieved aerial manipulation and grasping by attaching additional manipulator to aerial robots. However, such a coupled platform has limitations with respect to the interaction force and mobility. In this paper, we present the successful implementation of aerial manipulation and grasping by a novel articulated aerial robot called DRAGON, in which a vectorable rotor unit is embedded in each link. The key to performing stable manipulation and grasping in the air is the usage of rotor vectoring apparatus having two degrees-of-freedom. First, a comprehensive flight control methodology for aerial transformation using the vectorable thrust force is developed with the consideration of the dynamics of vectoring actuators. This proposed control method can suppress the oscillation due to the dynamics of vectoring actuators and also allow the integration with external and internal wrenches for object manipulation and grasping. Second, an online thrust-level planning method for bimanual object grasping using the two ends of this articulated model is presented. The proposed grasping style is unique in that the vectorable thrust force is used as the internal wrench instead of the joint torque. Finally, we show the experimental results of evaluation on the proposed control and planning methods for object manipulation and grasping.
High-Strength Iron Wire-Like Carbon Nanotubes in the Construction of a Digital Smart Logistics Supply Chain System

Today, modern logistics and transportation as a whole still have many problems such as high cost, low efficiency, and poor service quality. This article aims to improve the efficiency of various logistics departments. In order to explore the role of high-strength steel wires as carbon nanotubes in the construction of digital logistics systems, this article saves manpower and management costs in the logistics process and effectively manages information transportation and operating costs by sensing and controlling automated processing and operating procedures. It can effectively solve technical problems and create a complete logistics system that meets product needs. The results of the study show that through the transformation of traditional logistics through carbon nanotubes, the efficiency of digital logistics is relatively stable, with an average value of about 2.5, which takes more than 30% less time than traditional logistics.
Knowledge, Behaviour and Attitudes Related to Sun Exposure in Sportspeople: A Systematic Review

People who practice outdoor sports have an increased risk of skin cancer as they are exposed to high doses of ultraviolet (UV) radiation. Recent studies have shown that in many athletes, sun protection behaviours are inadequate, with the risk that this entails. The aim of this review is to collect the information published to date about the knowledge, attitudes and habits of athletes in relation to sun exposure and its risks. A systematic review was conducted using PubMed and Embase with the search algorithm “(skin cancer OR melanoma) AND (exercise OR sport OR athletes)”. All studies analysing the knowledge, attitudes and habits of photoprotection in athletes were included. A total of 2,365 publications were found, of which 23 were selected, including a total of 10,445 sportspeople. The majority of participants declared their voluntary intention to tan and stated that the sun made them feel better, although they also showed concern about possible damage associated with UV radiation. In most studies, less than half of the participants made adequate use of photoprotective measures. In general, most athletes had a high level of knowledge regarding the risk of skin cancer associated with sun exposure. In conclusion, most athletes are aware of the risks associated with UV radiation but do not make adequate use of photoprotective cream. New training programs on photoprotection could help improve athletes’ photoprotective behaviour, reducing the incidence of skin cancer and precancerous lesions in this population.
Formulation space search for two-dimensional packing problems

The two-dimension packing problem is concerned with the arrangement of items without overlaps inside a container. In particular we have considered the case when the items are circular objects, some of the general examples that can be found in the industry are related with packing, storing and transportation of circular objects. Although there are several approaches we want to investigate the use of formulation space search. Formulation space search is a fairly recent method that provides an easy way to escape from local optima for non-linear problems allowing to achieve better results. Despite the fact that it has been implemented to solve the packing problem with identical circles, we present an improved implementation of the formulation space search that gives better results for the case of identical and non-identical circles, also considering that they are packed inside different shaped containers, for which we provide the needed modifications for an appropriate implementation. The containers considered are: the unit circle, the unit square, two rectangles with different dimension (length 5, width 1 and length 10 width 1), a right-isosceles triangle, a semicircle and a right-circular quadrant. Results from the tests conducted shown several improvements over the best previously known for the case of identical circles inside three different containers: a right-isosceles triangle, a semicircle and a circular quadrant. In order to extend the scope of the formulation space search approach we used it to solve mixed-integer non-linear problems, in particular those with zero-one variables. Our findings suggest that our implementation provides a competitive way to solve these kind of problems.
Investigating the Use of Information and Communication Technology (ICT) among University Students to Improve Their Academic Achievement

This study aims to investigate the use ICT among higher education students at a state university in Batusangkar. Mixed methods were used to find out the ways the students take advantage of ICT to improve their academic achievement. Data of the research were collected through a google-form consisting closed-and open-ended questions. Two types of data were collected using the google-form. : quantitative data and qualitative data, were analyzed with descriptive statistics and with the technique of data analysis proposed by Miles, Huberman, and Saldana (2014). The research results showed that the students use different ways to improve their academic achievements which will be elaborated in the next part.
A $345\mu \mathbf{W}$ 1 GHz Process and Temperature Invariant Constant Slope-and-Swing Ramp-based 7-bit Phase Interpolator for True-Time-Delay Spatial Signal Processors

In the baseband time delay (TD) elements used for delay compensation in discrete-time beamformers, phase interpolator (PI) plays a crucial role as the resolution of the PI defines the delay resolution of the TD. In this paper, we present a process and temperature invariant high-resolution and highly linear low-power PI. The proposed PI uses current integration which generates an adaptable constant slope-and-swing ramp signal to achieve low power. By switched-capacitor bias generation, the PI linearity is enhanced with 0.2 LSB DNL and 0.3 LSB INL, respectively. The 7-bit PI is realized in 65nm CMOS technology can generate the full range delay with a resolution of 8psec with the input of 1GHz. The PI consumes a power of $\mathbf{345}\mu \mathbf{W}$ and and occupies an active area of 0.021mm2.
MMT4: Multi Modality To Text Transfer Transformer

Recent studies have demonstrated the ability of auto-regressive and seq-to-seq generative models to reach state-of-the-art performance on various Natural Language Understanding (NLU) and Natural Language Processing (NLP) tasks. They operate by framing all the tasks in a single formulation: text auto-completion or text-to-text encoding-decoding. These models can be trained on the products corpus in order to understand the information in the e-commerce products listings. In this paper, we present a new generative model to involve different modalities (e.g. text and vision). The proposed model is an encoder-decoder model with the T5 ( T ext T o T ext T ransfer T ransformer) foundation in which the non-text components are fused to the text tokens. Specific relative positional and token type embeddings are used in the encoder part, while the de-coder generates new text corresponding to diverse tasks. Hence, we name the proposed model MMT4: M ulti M odality T o T ext T ransfer T ransformer. The experiments are done over our proprietary e-commerce catalog involving image and text, with the rationale that the image of a product provides more information about the product. One of the main advantages of this model is to generate product attributes (product specifications) that can be either solely inferred from the text or the image, or both. In the experiments, we pre-train and fine-tune MMT4 to solve a number of downstream tasks: attribute generation, image-text matching (ITM), and title (product name) generation from product’s image (captioning). The experimental results show up to 35% accuracy improvement in comparison with the fine-tuned T5 in the attribute generation task. Product title generation also shows more than 3% higher Rouge-1 re-call than the fine-tuned state-of-the-art captioning model. Although we fine-tuned our model on less than 2M samples in a generative mode, its performance is only 2% area under the precision-recall curve lower than the state-of-the-art ITM model.
Relationship between the proficiency level and anxiety-reducing effect in a one-time heart rate variability biofeedback

Abstract Introduction: Previous studies have reported that the proficiency level of heart rate variability biofeedback (HRVBF) contributes significantly to the anxiety-reducing effects in continuous HRVBF interventions. Meanwhile, anxiety-reducing effects have been confirmed in one-time HRVBF interventions as well as continuous HRVBF; however, no study has analyzed the relationship between the proficiency level of a one-time HRVBF and its anxiety-reducing effects. To pursuit the effectiveness of a one-time HRVBF intervention, it is necessary to clarify whether the proficiency level is an important predictor of anxiety-reducing effects from a dose-response relationship between these 2 variables. The purpose of this study was to examine the dose-response relationship between the proficiency level and anxiety-reducing effects of a one-time HRVBF. Methods: This study was a single-blinded, randomized, controlled trial with stratification based on trait anxiety of the State-Trait Anxiety Inventory-JYZ. In total, 45 healthy young males aged 20 to 30 years were allocated to the HRVBF or control group with simple breathing at rest. The intervention was performed for 15 minute in each group. The state anxiety score of the State-Trait Anxiety Inventory-JYZ was measured to evaluate the anxiety-reducing effect before and after training. Results: The results showed no significant linear relationship between the proficiency level and anxiety-reducing effect, and variations in the proficiency level were observed post-intervention in the HRVBF group. A significant anxiety-reducing effect was only observed in the HRVBF group (P = .001, effect size r = 0.62). Conclusions: These results suggest that there is no close relationship between the proficiency level and anxiety-reducing effect in one-time HRVBF and that HRVBF is effective in reducing anxiety regardless of individual differences in the proficiency level. Therefore, a one-time HRVBF may be a useful breathing technique for reducing state anxiety without specific education and breathing techniques. Trial registration: University Hospital Medical Information Network Clinical Trial Registry (UMIN000041760).