Miracle-dz/UniFAR-FTUs huggingface dataset:
The Hedonic and Eudaimonic Motives for Activities: Measurement Invariance and Psychometric Properties in an Adult Japanese Sample

Hedonic pleasure orientation (seeking enjoyment), hedonic relaxation orientation (seeking comfort), and eudaimonic orientation (seeking meaning) are major ways that people pursue well-being. We investigated the measurement invariance and psychometric properties of the Hedonic and Eudamonic Motives for Activities (HEMA) scale in a Japanese adult sample (N = 1,892). The Japanese HEMA scale demonstrated measurement invariance at the configural, metric, scalar, and strict levels across gender and age groups. Latent mean differences of the scale across these demographic groups were less than small. The scale showed high internal consistency and six-week test-retest reliability and reasonable correlations with life satisfaction, positive affect, negative affect, psychological well-being, and interdependent happiness. In sum, these findings suggest that the Japanese HEMA scale is useful to capture hedonic and eudaimonic conceptions of well-being as orientations. It is hoped that our findings will stimulate further research on well-being using the HEMA scale.
Advanced Multi-Perspective Enrolment in Finger Vein Recognition

Finger vein recognition deals with the recognition of subjects based on their venous pattern within the fingers. It has been shown that its recognition accuracy heavily depends on a good alignment of the acquired samples. There are several approaches that try to reduce the impact of finger misplacement. However, none of these approaches is able to prevent all possible types of finger misplacements. As finger vein scanners are evolving towards contact-less acquisition, alignment problems, especially due to longitudinal finger rotation, are becoming even more important. Along with rotation detection and correction, capturing the vein pattern from multiple perspectives, as e.g. in multiple-perspective enrolment (MPE, [1]), is a way to tackle the problem of longitudinal finger rotation. Involving multiple cameras increases cost and complexity of the capturing devices, and therefore their number should be kept to a minimum. Perspective multiplication for MPE (PM-MPE, [2]) successfully reduces the number of cameras needed during enrolment while keeping the recognition rates at a high level. So far, (PM-)MPE has only been applied using Maximum curvature features (MC, [3]). This work analyses further approaches to improve the their recognition rates and investigates the applicability of (PM-)MPE to recognition schemes using features other than MC.
Thickness Scaling of AFE-RAM ZrO2 Capacitors with High Cycling Endurance and Low Process Temperature

As-deposited polycrystalline ZrO2 thin films are demonstrated to exhibit antiferroelectric hysteresis down to a film thickness of 4.3 nm. Low temperature processed capacitors for antiferroelectric random access memory devices are constructed by exploiting electrodes with different work functions to stabilize non-volatility in ZrO2 films within a thickness range of 4 – 15 nm. The as-deposited thin film antiferroelectric ZrO2 capacitors show excellent endurance cycling (> 1010 cycles) and have similar properties to 500 °C annealed films. Cycling endurance and remanent polarization are enhanced as the ZrO2 thickness is scaled from 15 to 4 nm. ZrO2 thickness scaling enables lower operating voltages that can reduce non-volatile memory power consumption.
Forecasting Helicoverpa populations in Australia: A comparison of regression based models and a bioclimatic based modelling approach

Abstract Long‐term forecasts of pest pressure are central to the effective management of many agricultural insect pests. In the eastern cropping regions of Australia, serious infestations of Helicoverpa punctigera (Wallengren) and H. armigera (Hübner)(Lepidoptera: Noctuidae) are experienced annually. Regression analyses of a long series of light‐trap catches of adult moths were used to describe the seasonal dynamics of both species. The size of the spring generation in eastern cropping zones could be related to rainfall in putative source areas in inland Australia. Subsequent generations could be related to the abundance of various crops in agricultural areas, rainfall and the magnitude of the spring population peak. As rainfall figured prominently as a predictor variable, and can itself be predicted using the Southern Oscillation Index (SOI), trap catches were also related to this variable. The geographic distribution of each species was modelled in relation to climate and CLIMEX was used to predict temporal variation in abundance at given putative source sites in inland Australia using historical meteorological data. These predictions were then correlated with subsequent pest abundance data in a major cropping region. The regression‐based and bioclimatic‐based approaches to predicting pest abundance are compared and their utility in predicting and interpreting pest dynamics are discussed.
Identifying Deceptive Reviews: Feature Exploration, Model Transferability and Classification Attack

The temptation to influence and sway public opinion most certainly increases with the growth of open online forums where anyone anonymously can express their views and opinions. Since online review sites are a popular venue for opinion influencing attacks, there is a need to automatically identify deceptive posts. The main focus of this work is on automatic identification of deceptive reviews, both positive and negative biased. With this objective, we build a deceptive review SVM based classification model and explore the performance impact of using different feature types (TF-IDF, word2vec, PCFG). Moreover, we study the transferability of trained classification models applied to review data sets of other types of products, and, the classifier robustness, i.e., the accuracy impact, against attacks by stylometry obfuscation trough machine translation. Our findings show that i) we achieve an accuracy of over 90% using different feature types, ii) the trained classification models do not perform well when applied on other data sets containing reviews of different products, and iii) machine translation only slightly impacts the results and can not be used as a viable attack method.
Impact de l'association sur le niveau de nutrition azotée et la croissance du ray-grass anglais et du trèfle blanc

La nutrition azotee de cultures pures et d'associations fauchees de trefle blanc et de ray-grass anglais semees en rangs alternes a ete etudiee, durant 2 repousses de printemps, avec ou sans fertilisation azotee, par la methode des courbes de dilution de l'azote total dans la matiere seche. L'association avec le trefle blanc a augmente la teneur en azote total et la biomasse epigee par meere lineaire des rangs de ray-grass. A meme biomasse, la teneur en azote du ray-grass associe est superieure a celle mesuree en culture pure. Le niveau moyen de nutrition azotee du ray-grass augmente generalement de maniere hautement significative en culture associee, mais cet effet est toutefois plus faible apres une fertilisation azotee. Un sous-essai, ou les parties aeriennes et les racines du trefle et du ray-grass etaient separees, ou non, par des cloisons verticales, a indique, a la derniere repousse, une augmentation significative du niveau de nutrition azotee du ray-grass en cas d'interference racinaire avec le trefle. Dans le cas du trefle blanc, la diminution de la teneur en azote total des feuilles au cours de le repousse s'explique, en partie, par la reduction du rapport ponderal (limbes/petioles). Par ailleurs, la teneur en azote des limbes de trefle diminue selon une loi puissance en fonction de la biomasse foliaire totale du peuplement. La culture en association n'a pas d'effet significatif sur les teneurs en azote des limbes de trefle, lorsque celles-ci sont comparees a meme biomasse foliaire totale. Neanmoins, le taux de trefle dans l'association varie en raison inverse du niveau de nutrition azotee du ray-grass
Whole-Body Mechanics of Double-Leg Attack in Elite and Non-elite Male Freestyle Wrestlers

This study examined the movement characteristics of the double-leg attack in elite and non-elite wrestlers. Twenty light-weight male wrestlers were divided by skill level: Elite group (n = 11) who participated in international-level competitions and Non-Elite group (n = 9) consisting of college-level wrestlers. Each wrestler performed the double-leg attacks against a defender. Three-dimensional coordinates of anatomical landmarks and the ground reaction force (GRF) of the trailing limb were analyzed. The forward velocity and displacement of the whole-body center of mass (COM) and the 7th cervical spine (C7), which represents the upper body, were calculated. Additionally, joint torques were calculated by a standard inverse dynamics method. No significant differences were observed between groups for movement duration and the C7 forward displacement, which relates to the interpersonal distance. Still, they were significantly correlated in the non-elite wrestlers, as well as in all wrestlers (r = 0.78, p < 0.05 and r = 0.65, p < 0.01, respectively). While there were no group differences in joint angles at both limbs and torques at the trailing limb, the time-to-peak resultant GRF was shorter, and peak resultant GRF was greater at the trailing limb in the elite wrestlers compared to that in the non-elite wrestlers (p < 0.05). There were no group differences in peak forward velocity of the COM and the C7. However, the C7 forward velocity at 0.20, 0.25, and 0.30 s and the C7 forward displacement at 0.35 s after the start of the attack was significantly greater in the elite wrestlers compared to that in the non-elite wrestlers (p < 0.05). This disparity in the C7 forward velocity made a positive contribution in forward displacement by 0.08 m at 0.35 s. Thus, during a double-leg attack, elite wrestlers quickly move their upper body forward while rapidly pushing-off the trailing foot reaching the defender's legs in advance of defensive actions, irrespective of the interpersonal distance. These characteristics may improve the success rate of the double-leg attack.
A Dual-Band Omnidirectional Circular Polarized Antenna Using Composite Right/Left-Handed Transmission Line With Rectangular Slits for Unmanned Aerial Vehicle Applications

A dual-band omnidirectional circularly polarized (CP) antenna using composite right/left-handed (CRLH) transmission line (TL) with miniaturized size is presented. The antenna consists of a circular radiation patch and a circular ground connected by three copper shorting vias, on which three rectangular slits are etched. Two sets of opposite branches are arranged in sequence around the radiation patch and ground to widen the impedance bandwidth (BW). The zeroth-order resonance (ZOR) structure by CRLH-TL and meandering technology allow miniaturization of the antenna, and rectangular slits realize wide low axial-ratio (AR) performance in the azimuth plane. The dual-band antenna is fabricated and measured. The overall size of the antenna prototype is only $0.208\lambda _{L}\times 0.208\lambda _{L}\times 0.026\lambda _{L}$ , where $\lambda _{L}$ is the free-space wavelength at the center working frequency of the low band. The BW in the lower band has a range of 2.39 GHz to 2.42 GHz, equivalent to 1.25%, and that of the upper band has a range of 5.6 GHz to 6.0 GHz, equivalent to 6.90%. The AR bandwidth (ARBW) has ranges of 1.9 GHz to 2.6 GHz at 2.4 GHz, approximately 29.2%, and 4.6 GHz to 7.3 GHz at 5.8 GHz, equivalent to 46.6%. The overlap BW covers the two frequencies of unmanned aerial vehicle (UAV) image transmission, 2.4 GHz and 5.8 GHz in China.
Beyond Discrete Choices – Investigating the Effectiveness of a Proximity Nudge With Multiple Alternative Options

Nudges are defined as small adjustments in the choice architecture that stimulate desirable behavior. Nudging techniques can be used as a promising policy tool, but research has hardly systematically taken into account the complexity of the situation in which nudges have been implemented. In the current studies, we investigated the effectiveness of a proximity nudge on food choice in a realistic situation with multiple options in the immediate surroundings of the target option. In two studies, we presented participants from a community sample with an assortment of either three or nine different types of chocolate. For half of the participants, the target chocolate was placed most proximally on a table. Across two studies, we demonstrated that the proximity nudge was effective in stimulating the choice for a specific piece of chocolate in a simple and more complex situation. Results were further qualified by Bayesian analyses, which revealed most support for the hypothesis that the proximity effect existed in both the conditions with three and nine options, regardless of the number of options in the choice set. Results imply that the proximity effect can remain robust in realistic situations that include multiple options in the immediate environment to choose from.
Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004

Physicochemical and benthos data were collected from 12 marine monitoring stations in Daya Bay, during 2001-2004. 12 stations in Daya Bay could be grouped into three clusters: cluster I consisted of stations in the southern part of Daya Bay (stations S1, S2 and S6); cluster II consisted of stations in the cage culture areas (stations S3, S4, S5 and S8); cluster III consisted of stations in the southwest, the middle and the northeast of the Bay (stations S7, S9, S10, S11 and S12). Calculation with bivariate correlations between benthos and major physicochemical factors showed that the density of benthos in all stations correlated positively with temperature, DO, pH, NH4-N, SiO3-Si, SiO3-Si /PO4-P and chlorophyll a and was negatively correlated with salinity, Secchi, COD, NO3-N, NO2-N, TIN, PO4-P, TIN/PO4-P and BOD5. Factor analysis showed that there were high positive loading salinity, Secchi and NH4-N of three clusters. Results revealed that temperature, DO, pH, SiO3-Si and SiO3-Si/PO4-P and chlorophyll a could also play an important role in determining the biomass of benthos in Daya Bay, especially near the Nuclear Power Plants, in the southern part and in the cage culture areas.
Influence of N-phthaloyl gamma-aminobutyric acid on circadian rhythms of lipid peroxidation products and antioxidants

Abstract N-Phthaloyl GABA was administrated daily (50 mg/kg body weight-i.p) to Wistar rats for 21 days and circadian rhythms of thiobarbituric acid reactive substances (TBARS) and antioxidants such as reduced glutathione (GSH), catalase (CAT) and superoxide dismutase (SOD) were studied. N-Phthaloyl GABA was found to delay TBARS and to advance GSH, CAT and SOD acrophases. Amplitude and mesor values of these rhythms were found to be altered during N-Phthaloyl GABA treatment. Since GABA is hypothesized to be involved in conveying dark information to clock, exogenous administration of P-GABA might alter the photic information received by the clock. Our study shows that P-GABA administration alters the temporal patterns of lipid peroxidation and antioxidants in Wistar rats. But the exact mechanism remains to be explored and further research is needed.
Effect of harvest maturity on physical and chemical characteristics of carambola (Averrhoa carambola L.)

Abstract An experiment on carambola (Averrhoa carambola) cv. ‘B17’ was conducted in the 1989/90 harvest season to investigate the relationships between fruit physical and chemical characteristics and maturation. The physical properties were length, width, weight. and volume and the chemical properties were total soluble solids, pH, total titratable acidity, total sugars, and total ascorbic acid content. Sensory evaluation for sourness, colour, sweelness, texture, and overall acceptability were also carried out. Measurements were made weekly between 9 and 13 weeks after fruit set. Colour was classified as light green, yellowish green, more yellow, than green, more orange than yellow, and full orange. For fresh consumption, harvesting was carried out from Week 11 to Week 13 after fruit set. Chemical and physical characteristics were measured over the harvest season. Total soluble solids, pH, total sugars, and total ascorbic acid content increased whereas total titratable acidity declined. The causal regress.
Effects of Passive Transfer Status on Growth Performance in Buffalo Calves

The objective of the study was to evaluate the effect of passive transfer status, determined by measuring serum immunoglobulin (Ig) concentration 24 hours after parturition, on growth performance in buffalo calves allowed to nurse the dam during the first month of life. Serum Ig concentration 24 hours after birth ranged from 28.1 to 35.9 mg/ml, birth weight ranged from 29 to 41 kg, body weight 30 days after birth ranged from 48.5 to 62.9 kg. The Average Daily Gain (ADG) from birth to day 30 ranged from 448 to 1,089 g/d. Significant linear associations were detected between serum Ig concentration 24 hours after birth and day-30 weight (p = 0.31) and between serum Ig concentration 24 hours after birth and ADG from birth to day 30 (p = 0.72). Results indicated that passive transfer status was a significant source of variation in growth performance when buffalo calves nursed the dam. Maximizing passive transfer of immunity by allowing calves to nurse the dam can increase growth performance during the first month of life.
APOE Alleles and Diet in Brain Aging and Alzheimer’s Disease

The APOE gene alleles modify human aging and the response to the diet at many levels with diverse pleotropic effects from gut to brain. To understand the interactions of APOE isoforms and diet, we analyze how cellular trafficking of apoE proteins affects energy metabolism, the immune system, and reproduction. The age-accelerating APOE4 allele alters the endosomal trafficking of cell surface receptors that mediate lipid and glucose metabolism. The APOE4 allele is the ancestral human allele, joined by APOE3 and then APOE2 in the human species. Under conditions of high infection, uncertain food, and shorter life expectancy, APOE4 may be adaptive for reducing mortality. As humans transitioned into modern less-infectious environments and longer life spans, APOE4 increased risks of aging-related diseases, particularly impacting arteries and the brain. The association of APOE4 with glucose dysregulation and body weight promotes many aging-associated diseases. Additionally, the APOE gene locus interacts with adjacent genes on chromosome 19 in haplotypes that modify neurodegeneration and metabolism, for which we anticipate complex gene-environment interactions. We summarize how diet and Alzheimer’s disease (AD) risk are altered by APOE genotype in both animal and human studies and identify gaps. Much remains obscure in how APOE alleles modify nutritional factors in human aging. Identifying risk variant haplotypes in the APOE gene complex will clarify homeostatic adaptive responses to environmental conditions.
The endangered Spitsbergen bowhead whales' secrets revealed after hundreds of years in hiding

Spitsbergen's bowhead whales (Balaena mysticetus) were hunted to near extinction in the world's first commercial whaling enterprise; this population clearly remains threatened, but nothing is known about its distribution, making assessment unfeasible. In this study, we document range, movement patterns and habitat preferences of this population, based on tagging done from an icebreaker-based helicopter. Despite their reduced abundance, Spitsbergen's bowhead whales occupy much of their historical range, stretching across the northern Barents Region from East Greenland eastward to Franz Josef Land. Unlike larger bowhead populations to the west, they do not migrate in a classical sense, but rather disperse from wintering grounds in the northernmost parts of their range during spring, returning northward again in autumn, a pattern opposite in terms of directionality compared to other Arctic bowhead whale populations. The extreme affiliation of this population with cold, ice-filled waters is a concern given ongoing climate warming and concomitant rapid sea ice habitat loss.
Interactive effects of ambient ozone and climate measured on growth of mature loblolly pine trees

Seasonal growth patterns of mature loblolly pine (Pinustaeda L.) trees over the interval 1988–1993 have been analyzed to evaluate the effects of ambient ozone on growth of large forest trees. Patterns of stem expansion and contraction of 34 trees were examined using serial measurements with sensitive dendrometer band systems. Study sites, located in eastern Tennessee, varied significantly in soil moisture, soil fertility, and stand density. Levels of ozone, rainfall, and temperature varied widely over the 6-year study interval. Regression analysis identified statistically significant influences of ozone on stem growth patterns, with responses differing widely among trees and across years. Ozone interacted with both soil moisture stress and high temperatures, explaining 63% of the high frequency, climatic variance in stem expansion identified by stepwise regression of the 5-year data set. Observed responses to ozone were rapid, typically occurring within 1–3 days of exposure to ozone at ≥40 ppb and were si.
Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network

The complex detection background and lesion features make the automatic detection of dermoscopy image lesions face many challenges. The previous solutions mainly focus on using larger and more complex models to improve the accuracy of detection, there is a lack of research on significant intra-class differences and inter-class similarity of lesion features. At the same time, the larger model size also brings challenges to further algorithm application; In this paper, we proposed a lightweight skin cancer recognition model with feature discrimination based on fine-grained classification principle. The propose model includes two common feature extraction modules of lesion classification network and a feature discrimination network. Firstly, two sets of training samples (positive and negative sample pairs) are input into the feature extraction module (Lightweight CNN) of the recognition model. Then, two sets of feature vectors output from the feature extraction module are used to train the two classification networks and feature discrimination networks of the recognition model at the same time, and the model fusion strategy is applied to further improve the performance of the model, the proposed recognition method can extract more discriminative lesion features and improve the recognition performance of the model in a small amount of model parameters; In addition, based on the feature extraction module of the proposed recognition model, U-Net architecture, and migration training strategy, we build a lightweight semantic segmentation model of lesion area of dermoscopy image, which can achieve high precision lesion area segmentation end-to-end without complicated image preprocessing operation; The performance of our approach was appraised through widespread experiments comparative and feature visualization analysis, the outcome indicates that the proposed method has better performance than the start-of-the-art deep learning-based approach on the ISBI 2016 skin lesion analysis towards melanoma detection challenge dataset.