Miracle-dz/UniFAR-FTUs huggingface dataset:
USING TECHNOLOGY ACCEPTANCE MODEL TO STUDY ADOPTION OF ONLINE SHOPPING IN AN EMERGING ECONOMY

Ecommerce has been growing significantly worldwide in terms of volume as well as number of users due to pervasiveness of technology and convenience it provides to consumers. Nonetheless, online shopping is still in infancy in South Asia despite tremendous growth potential with its burgeoning population. The purpose of this research is to examine the behavioral acceptance of consumers towards online shopping using technology acceptance model (TAM) in a developing country with implications for South Asia. The data was gathered from 340 respondents using online questionnaire. The measurement model was first analyzed in terms of reliability, discriminant validity and convergent validity. Structural equation modeling (SEM) was applied to determine factor loadings and assess various associations among constructs. It was found that trust, perceived usefulness, perceived ease of use and online shopping enjoyment influence attitude as well as customer intention to adopt online shopping. It is imperative to keep in mind that the primary concern of the customers in e-shopping context is trust and perceived ease of use.
Magneto-optical Kerr Eect Study of Magnetic Anisotropy in Soft Ferromagnets

The continued progress of modern information technology relies on understanding the influence of magnetic anisotropy on magnetic thin films. In this work, two sources of magnetic anisotropy are examined in two different soft ferromagnets: a uniaxial anisotropy induced during the fabrication of Ni80Fe20 and exchange anisotropy, or exchange bias, which occurs at the interface of Ni77Fe14Cu5Mo4/Fe50Mn50 bilayer. A home-built Magneto-optical Kerr effect magnetometer is used to measure the magnetic response of the soft ferromagnetic films and details of its construction are also discussed. A simple model of uniaxial anisotropy is described, then applied, to the uniaxial NiFe film and deviations from the model are critically analyzed. The exchange bias and coercive fields of NiFeCuMo/FeMn are reported for the first time and studied as a function of buffer layer material. The influence of the different buffer layer materials on the magnetization response of the bilayer is explained from a structural standpoint.
Music to Mend Heartache: Song Choices to Match, Change, and Distract Mood

Romantic turmoil is something that most people experience in their life. When faced with an upsetting event, such as a breakup or fight with a partner, a person may turn to music to achieve a more desirable state of mind. The current study extended past research on music and coping by focusing specifically on a person’s use of music when they have emotional distress due to a romantic event. Ten interviews revealed the major theme “Music as a Tool,” regarding how people use music as social support. The first subtheme, Alliance with Mood, describes how participants used music as a tool to relate/identify and experience their current emotions. The second subtheme, Changing Mood, reveals how participants used music as tool to reframe their emotions and distract themselves. Because of the practical nature of this subject, media studies should continue to advance the literature on music and social support.
Wider Channel Attention Network for Remote Sensing Image Super-resolution

Recently, deep convolutional neural networks (CNNs) have obtained promising results in image processing tasks including super-resolution (SR). However, most CNN-based SR methods treat low-resolution (LR) inputs and features equally across channels, rarely notice the loss of information flow caused by the activation function and fail to leverage the representation ability of CNNs. In this letter, we propose a novel single-image super-resolution (SISR) algorithm named Wider Channel Attention Network (WCAN) for remote sensing images. Firstly, the channel attention mechanism is used to adaptively recalibrate the importance of each channel at the middle of the wider attention block (WAB). Secondly, we propose the Local Memory Connection (LMC) to enhance the information flow. Finally, the features within each WAB are fused to take advantage of the network's representation capability and further improve information and gradient flow. Analytic experiments on a public remote sensing data set (UC Merced) show that our WCAN achieves better accuracy and visual improvements against most state-of-the-art methods.
Rigorous pointwise approximations for invariant densities of non-uniformly expanding maps

Abstract We use an Ulam-type discretization scheme to provide pointwise approximations for invariant densities of interval maps with a neutral fixed point. We prove that the approximate invariant density converges pointwise to the true density at a rate ${C}^{\ast } \cdot (\ln m)/ m$, where ${C}^{\ast } $ is a computable fixed constant and ${m}^{- 1} $ is the mesh size of the discretization.
LOCATING OPTIMAL PLACES FOR EMERGENCY MEDICAL CENTERS USING ARTIFICIAL BEE COLONY ALGORITHM

The Emergency Medical Centers are very helpful since they reduce the number of death and injuries by getting to the scenes of accidents and dealing with the case immediately. As saving one's life is the prime goal in these centers, any findings and techniques which will improve the services and ease achieving the goal will be highly welcomed. The first and the major factor in giving this kind of service is the time. The place where these centers are located can play an important role to reduce the time so as to offer the service right away and on time. Hence, finding the best places in a big city or cities to set up these centers to be able to give the services urgently will have a crucial importance. The method offered in this paper is to give the service qualitatively while we reduce the number of ambulances. Artificial bee colony (ABC) algorithm is an extended algorithm based on the bees' vigilant behavior that they search for food. This paper uses The ABC algorithm to solve the problem of positioning. The findings and the correlative coefficient of the study show that this Algorithm can be helpful especially in larger cities where it is difficult to locate a proper position to offer the service in an expected time.
CRITICAL INVESTIGATIONS OF THE Z-ROC CURVE: EVIDENCES FOR A SINGLE-PROCESS MODEL OF RECOGNITION MEMORY

A dominant approach to recognition memory is dual-process theory, comprising both signal- detection (familiarity) and high-threshold (recollection) mechanisms. The finding that z-ROC slopes are invariably smaller than unity—establishing larger variance for the hypothetical target distribution than that of the lure distribution—is taken as support for the involvement at retrieval of recollection, in addition to familiarity (thereby increasing the variance of the target distribution). Critically, in a seminal study, Yonelinas et al. (2001) obtained confidence ratings (from which z-ROC slopes could be calculated) and, within each level of confidence, a subjective Remember-Know (R-K) judgment was made. In an attempt to simulate recognition unaffected by recollection, 'Remember' (R) trials were then selectively excluded. Consistent with dual-process theory, the z-ROC slope increased to unity, demonstrating the involvement of only a single process—Familiarity. Here we argue that Yonelinas et al. inadvertently biased participants to respond R only when they were highly confident that the item had been studied and that, in addition, the authors did not consider the possible existence of Recollection-based false alarms. When running the experiment with unbiased instructions, R responses spread across all confidence levels. We next excluded both R and K responses for both FAs and hits. Similar to Yonelinas, we too found an increase in the slope of the z-ROC curve. Our analysis suggests a strength-based interpretation to the data which include not only recollection-based hits, but also recollection-based FAs.
Formal Functional Description of Semantic Web Services : The Logic Description Method

The semantic encoding of Web Service description is the foundation of automation. This paper proposes the Logic Description Method (LDM) which is formal, concise, and expressive. Service descriptions and knowledges (rules) are represented as first-order logic formulas which grasp the straightforward and natural semantics of them. ‘I’nput, ‘O’utput, ‘R’elationship, ‘P’recondition, and ‘E’ffects are selected as the five essentials to define a service’s function. The ‘IORPE’ are all represented as predicates. Knowledge-base is used to gather all the definitions of knowledges and predicates. It buildup a firm semantic environment where services have unambiguous functional definition. Furthermore, the semantic of a composed service can be easily inferred in first-order logic. So that it can then be verified with the semantic of the request to check for correctness. An example is set up to show how all the features of LDM works.
Using barometric time series of the IMS infrasound network for a global analysis of thermally induced atmospheric tides

Abstract. The International Monitoring System (IMS) has been established to monitor compliance with the Comprehensive Nuclear-Test-Ban Treaty and comprises four technologies, one of which is infrasound. When fully established, the IMS infrasound network consists of 60 sites uniformly distributed around the globe. Besides its primary purpose of determining explosions in the atmosphere, the recorded data reveal information on other anthropogenic and natural infrasound sources. Furthermore, the almost continuous multi-year recordings of differential and absolute air pressure allow for analysing the atmospheric conditions. In this paper, spectral analysis tools are applied to derive atmospheric dynamics from barometric time series. Based on the solar atmospheric tides, a methodology for performing geographic and temporal variability analyses is presented, which is supposed to serve for upcoming studies related to atmospheric dynamics. The surplus value of using the IMS infrasound network data for such purposes is demonstrated by comparing the findings on the thermal tides with previous studies and the Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2), which represents the solar tides well in its surface pressure fields. Absolute air pressure recordings reveal geographical characteristics of atmospheric tides related to the solar day and even to the lunar day. We therefore claim the chosen methodology of using the IMS infrasound network to be applicable for global and temporal studies on specific atmospheric dynamics. Given the accuracy and high temporal resolution of the barometric data from the IMS infrasound network, interactions with gravity waves and planetary waves can be examined in future for refining the knowledge of atmospheric dynamics, e.g. the origin of tidal harmonics up to 9 cycles per day as found in the barometric data sets. Data assimilation in empirical models of solar tides would be a valuable application of the IMS infrasound data.
A ROBUST QUANTIFICATION OF GALAXY CLUSTER MORPHOLOGY USING ASYMMETRY AND CENTRAL CONCENTRATION

We present a novel quantitative scheme of cluster classification based on the morphological properties that are manifested in X-ray images. We use a conventional radial surface brightness concentration parameter (cSB) as defined previously by others and a new asymmetry parameter, which we define in this paper. Our asymmetry parameter, which we refer to as photon asymmetry (Aphot), was developed as a robust substructure statistic for cluster observations with only a few thousand counts. To demonstrate that photon asymmetry exhibits better stability than currently popular power ratios and centroid shifts, we artificially degrade the X-ray image quality by (1) adding extra background counts, (2) eliminating a fraction of the counts, (3) increasing the width of the smoothing kernel, and (4) simulating cluster observations at higher redshift. The asymmetry statistic presented here has a smaller statistical uncertainty than competing substructure parameters, allowing for low levels of substructure to be measured with confidence. Aphot is less sensitive to the total number of counts than competing substructure statistics, making it an ideal candidate for quantifying substructure in samples of distant clusters covering a wide range of observational signal-to-noise ratios. Additionally, we show that the asymmetry-concentration classification separates relaxed, cool-core clusters from morphologically disturbed mergers, in agreement with by-eye classifications. Our algorithms, freely available as Python scripts (https://github.com/ndaniyar/aphot), are completely automatic and can be used to rapidly classify galaxy cluster morphology for large numbers of clusters without human intervention.
Antispasmodic effects of Aloysia polystachya and A. gratissima tinctures and extracts are due to non-competitive inhibition of intestinal contractility induced by acethylcholine and calcium

The antispasmodic effects of acqueous extracts (AE) and tinctures (T) of Aloysia polystachya (Griseb.) Moldenke and Aloysia gratissima (Gillies & Hook.) Tronc. , Verbenaceae, were studied on rat isolated ileum and duodenum. These plants are used for gastrointestinal disorders and as eupeptic in South America. Both AE non-competitively inhibited the dose-response curves (DRC) of ACh and the DRC of Ca2+ in high-[K+]o, as well as the T. The T of A. polystachya and A. gratissima respectively inhibited the ACh-DRC at the IC50 of 3.15±0.57 and 6.46±2.28 mg leaves/mL. The Ca2+- antagonist activity of both T occurred with IC50 respectively similar to those of the ACh-DRC, and was potentiated by the depolarization produced by 10 mM TEA, a blocker of K+- channels. The spasmolytic effect of T does not involve DA release and binding to D2, since it was not reduced by 10 µ M metoclopramide. Also, T induced dose-dependent relaxation on the tonic contracture produced by high -[K+]o and ACh. By TLC there were detected in the leaves the presence of carvone, and flavonoids such as quercetin and hesperidin. By HPLC there were not found vitexin nor isovitexin, identified in A. citriodora. The monoterpene (-)- carvone non-competitively inhibited the ACh-DRC (pD'2 of 4.0±0.1) and the DRC of Ca2+ (pD'2 of 3.86±0.19), suggesting that the Ca2+- influx blockade is the mechanism of its antispasmodic effect. Results suggest that the antispasmodic effect of A. polystachya and A. gratissima are mostly explained by the non-competitive blockade of Ca+2 influx. It could be associated to the presence of flavonoids, and in the tinctures to some spasmolytic components of the essential oil such as carvone.
Theft in price-volatile markets : On the relationship between copper price and copper theft

Recently, against a backdrop of general reductions in acquisitive crime, increases have been observed in the frequency of metal theft offences. This is generally attributed to increases in metal prices in response to global demand exceeding supply. The main objective of this paper was to examine the relationship between the price of copper and levels of copper theft, focusing specifically on copper cable theft from the British railway network. Results indicated a significant positive correlation between lagged increases in copper price and copper cable theft. No support was found for rival hypotheses concerning U.K. unemployment levels and the general popularity of theft as crime type. An ancillary aim was to explore offender modus operandi over time, which is discussed in terms of its implications for preventing copper cable theft. We finish with a discussion of theft of other commodities in pricevolatile markets.
A quantum inspired methodology for enhancement of data discrimination power

The proposed methodology is a process for enhancement the data power discrimination based on the Cover theore m with a quantum inspiration. Given a set of data with several class, the proposed process consists in increasing its dimension i order to try become the non linearly separable problem into a linearly separable problem. Also is supposed that the data are observ ables in the quantum world, i.e., the data (real number) are expected value measurements of the given transformation with respec t to a quantum state (complex numbers). Therefore, the methodol gy applies a Genetic Algorithm for search the inverse mapping o f the expected value measurements, transforming the real num ber into complex number, subject to the constraint of magnitude conservation. The traditional methods of classification li ke Kmeans, KNN and LDA were applied to benchmark classification problems in two conditions: raw data set and transformed dat a set with the proposed methodology. The comparison of the classification results are presented, indicating a enhance ment in the data power discrimination when the proposed pre-proces sing is applied.
Heart rate, rating of perceived exertion and basic affective responses during different moments of a single capoeira progressive training session (CPTS)

Background & Study Aim: Little information is available on psychophysiological responses in martial arts which do not have the status of Olympic sport (such as judo, taekwondo) and yet are very popular. Lack of information about the impact of any effort on the human body means the lack of rational control over a given psychomotor human activity. The aim was the knowledge about heart rate (HR), rate perceived exertion (RPE) and basic affective respons es during different moments of a single capoeira progressive training session (CPTS). Material & Methods: Sixteen adults (10 male, 6 female) were evaluated to HR, rate perceived exertion (RPE 6/20), feeling scale (FS from 5+ to 5–) and perceived activation (PA six points scale). The CPTS lasted 60-min, being: 2-min/playing instruments; 2-min/singing; 8-min/warm-up; 8-min/ ginga (the basic movement); 8-min/technical movements; 12-min/passive capoeira ; 1-min/ capoeira game. The remaining time was distributed in recovery during CPTS. A cycle ergometer test was performed starting at 25W/50W (female/male) with increments of 25W every 1min until exhaustion (50-RPM’s) to anaerobic threshold (AT) and maximal power (P MAX ) determination. When compared to resting the HR (77 ±13 bpm) increased from warm-up (102 ±12 bpm) until capoeira circle (135 ±25 bpm), as well as differed from the total CPTS (117 ±13 bpm). The total CPTS occurred at 80 ±10%HR-AT and 65 ±7%HR-P MAX . The RPE shows increase from resting (8 ±3 points) to ginga (12 ±2 points), techni cal movements (14 ±2 points), capoeira circle (14 ±2 points) and total CPTS (11 ±2 points). The PA increased from resting (3 ±1 points) to singing (4 ±1 points), ginga (4 ±1 points), technical movements (5 ±1 points) and capoeira circle (5 ±1 points). A single CPTS increased the HR, RPE and PA responses, maintaining affective valence (FS) in the practitio ners during the session. Besides, a CPTS may be an alternative physical activity modality to improve fitness and health of adults with physical activity intensity level (i.e., moderate-vigorous).
The influence of siting and deterrence methods on seal predation at Atlantic salmon (Salmo salar) farms in Maine, 2001-2003

We document the nature and frequency of seal predation at Atlantic salmon (Salmo salar) farms in Maine and determine whether the severity of predation is related to the proximity of farms from one another and nearby harbor seal (Phoca vitulina concolor) haul-outs. We surveyed farm managers annually from 2001-2003 to document management techniques, husbandry practices, and predator deterrence methods employed for comparison with the extent of seal predation. Biweekly aerial surveys were conducted between January and March of each year to document harbor seal presence. An empirical estimate from a negative binomial model showed seal predation at farms declined significantly with distance to the nearest haul-out, suggesting that seal predation may be deterred by maximizing the distance between farms and seal haul-outs. Farms located further than 4 km from harbor seal haul-outs experienced minimal losses. At farms located within 4 km of harbor seal haul-outs, seal predation decreased with increasing dis- tance from neighboring farms, indicating that areas where farms are concentrated may be more vulnerable. The regular replacement of primary and secondary cage netting was negatively correlated with seal predation. Finally, this study documents the apparent ineffectiveness of acoustic harassment devices at deterring seal predation.
V . IDENTITY AND SEQUENCE DIVERSITY OF BEGOMOVIRUS ASSOCIATED WITH YELLOW LEAF CURL DISEASE OF TOMATO IN INDONESIA

Infeksi Begomovirus pada tanaman tomat menyebabkan penyakit yang serius dan kehilangan hasil yang nyata. Tujuan penelitian ini adalah (i) mengamplifikasi gen AV1 untuk Begomovirus menggunakan primer spefisik; (ii) menentukan sekuen nukleotida dari gen AV1 hasil amplifikasi PCR; (iii) mengidentifikasi virus-virus yang berasosiasi dengan penyakit keriting daun pada tomat; dan (iv) menganalisis diversitas sekuen asam nukleat dan asam amino prediksi dari gen AV1 di antara isolat-isolat yang diidentifikasi. Sampel-sampel yang menunjukkan gejala-gejala umum dari infeksi Begomovirus dikoleksi dari lokasi-lokasi yang berbeda di Jawa dan Sumatera. Amplifikasi polymerase chain reaction (PCR) menggunakan asam nukleat total dan primer spesifik Begomovirus untuk gen AV1, sekuensing secara langsung dari produk PCR, dan analisis sekuen asam nukleat dan asam amino menggunakan BLAST telah dilakukan. Kesimpulan dari penelitian ini adalah (i) adanya pita DNA hasil amplifikasi PCR membuktikan bahwa sampel-sampel tanaman tomat yang sakit terinfeksi oleh Begomovirus (ii) hasil analisis BLAST menggunakan sekuen nukleotida dan asam amino menunjukkan bahwa fragmen DNA hasil amplifikasi PCR adalah gen AV1 dari Begomovirus, (iii) identitas sekuen nukleotida dan asam amino dari gen AV1 di antara isolat-isolat Begomovirus mengindikasikan bahwa isolat-isolat tersebut adalah strain Ageratum yellow vein virus (AYVV) Indonesia, dan (iv) hasil analisis filogenetik mengindikasikan bahwa delapan isolat Begomovirus tersebut terbagi menjadi dua kelompok yang berbeda. Hasil dari percobaan ini juga menggambarkan bahwa adanya keragaman genetik Begomovirus pada berbagai daerah di Indonesia perlu untuk diteliti lebih lanjut. Selain itu, prevalensi dari spesies Begomovirus yang berbeda perlu juga untuk diteliti.
Coaching and Cross-Cultural Transitions: a narrative inquiry approach

This article explores the use of a narrative inquiry approach as a research method for research on coaching practice. It is based on an MA research project on the application of developmental theory to the construction of a stage model for use in cross-cultural coaching practice. Seven international students at a UK university business school related their experiences of living in the UK and how it affected their perspectives of themselves and their meaning-making processes. The article attempts to address three questions: what purpose can narrative inquiry serve in coaching research? What are the pitfalls of a narrative inquiry approach? And perhaps most importantly, how useful could a narrative inquiry be in showing up cultural bias in developmental theory? Initial findings and emerging future research themes are highlighted.