Miracle-dz/UniFAR-FTUs huggingface dataset:
Cultivating, Developing, and Promoting Lifestyle Physical Activity in College, for Life

The positive benefits of physical activity (PA) have long been substantiated and widely accepted by the public but unfortunately, most American, and Canadian adults still do not meet the US and Canada PA guidelines. With only 27% of high school students adhering to these guidelines, PA levels tend to decline during the late adolescent years into college. What intervention strategies can be incorporated into the campus culture that will not only increase PA levels in school, but increase the likelihood of adhering to higher levels of PA long after graduation into adulthood? A two-phase, mixed methodology focus group study was recently completed to explore preferences, associations, perceptions, and top motivators to PA. In phase one, facilitated group discussions were conducted with 234 participants from 13 diverse groups in Southern Ontario and 175 participants from 13 groups in South Carolina. Questions were asked regarding the participants’ preferences to meet PA guidelines, views on lifestyle PA versus traditional PA, and top motivators to PA. Based on the feedback from phase one, a survey (phase two) was designed and administrated to participants from the same community groups in Guelph and South Carolina. Among the 18-34-year-old participants, the overwhelming majority of both male and female respondents from both Southern Ontario and South Carolina indicated a preference for lifestyle PA, agree that exercise is a stress reliever, feel “happy and feel like I’ve accomplished something afterwards” but see exercise as planned, structured, regimented, routine, repetitive. “Feeling good and happier afterwards, better health, losing and maintaining my weight, appearance, and seeing the rewards physically were the top PA motivators. Specific intervention strategies are provided to improve PA levels in college emphasizing the need to focus on lifestyle PA opportunities for college students to embrace and experience both in college, and for the rest of their lives.
Philosophy of Biology

The questions below are meant to locate the space of your paper. This is to be your paper. It is different from an answer to an exam question. You set the specific topic and address it. The overall evaluation of your paper will reflect both how well you do what you set out to do, and how ambitious your project is. (But be aware of the page limit—do not get so ambitious that you need 10-20 pages to do what you set out to do.)
Biophysics of Fish Sperm Flagellar Movement: Present Knowledge and Original Directions

A fish spermatozoon has a minimalist structure: head, mid-piece and flagellum with the active inner core, called “axoneme”. The axoneme represents a cylindrical scaffold of microtubular doublets arranged around a pair of single microtubules and assorted along the entire length with the dynein-ATPase motors. The mechanisms of wave generation along the flagellum becomes possible due to sliding of microtubules relative to each other and their propagation is a result of a balance between mechanical constraints and intra-flagellar biochemical actors that generate force. How fish sperm flagella mechanics adapt to external constraints, such as vicinity of sur- faces or viscosity, during the very short period of motility? By use of high-speed video microscopy, stroboscopic system, modelisation and simulation approaches, we show that fish sperm flagella respond to physical and chemical signals from environment in a very brief period of time. This review chapter presents a brief description of the biological and biochemical fea- tures that characterize fish spermatozoa. Then it describes the biophysical aspects of flagellar movement covering various topics involved in fish sperm motility and offering a compilation of the recent knowledge acquired on different physical properties, such as wave propagation, energetics, hydrodynamics, temperature, viscosity, axonemal micro- tubules dynamics, among other aspects.
Présence au Kef (Tunisie) d’une nouvelle espèce du genre Ornithodoros : O. normandi n. sp.

Au cours d’un voyage d’étude en Tunisie, juillet, août, sept. 1922, nous avons effectué quelques recherches entomologiques dans la région du Kef. Notre collègue de la Société entomologique de France, le Dr Normand, a bien voulu nous accompagner souvent sur le terrain de chasse : nous l’en remercions vivement, sa con­ naissance approfondie des lieux et sa grande compétence de la chasse dans les terriers ont été pour nous d’un précieux secours. En tamisant la terre de terriers de petits rongeurs, nous avons remarqué la présence d’un Ornithodoros de petite taille qui nous a paru nouveau ; nous l’avons capturé à tous les stades (larves, nymphes, adultes), en grande abondance et dans plusieurs terriers successifs ; il s’agit donc d’une espèce commune dans la région du Kef. Nous aurions voulu mentionner dans ce travail, l’hôte ou les hôtes de cette espèce, il ne nous a malheureusement pas été pos­ sible de capturer de rongeurs dans les terriers. Nous espérons pou­ voir compléter cette lacune dans une note complémentaire. L’Ornithodoros que nous avons eu la bonne fortune d’étudier dans la nature est très agile, il vit dans les coins obscurs des terriers, on ne le rencontre qu’à partir de 30 à 40 cm. de l’entrée. Quelques spécimens gorgés montrent que l'Ornithodoros trouve dans cet habitat toute facilité de nourriture et peut accomplir toute son évolution. Nous nous faisons un plaisir de dédier cette espèce à notre con­ frère le Dr Normand.
Watering regime affects oil content and fatty acid composition of six sunflower lines

1 Research open acess Watering regime affects oil content and fatty acid composition of six sunflower lines SAHARI KHOUFI * KHALIL KHAMASSI 1 JAIME A. TEIXEIRA DA SILVA 2 SALAH REZGUI 1 FAYÇAL BEN JEDDI 1 1 Unité Cultures Maraîchères et Florales, Institut N a ional Agronomique de Tunisie, 43, avenue Charles Nicolle 1082 Tunis-Mahrajène Tunisie. Université de Carthage , Tunisia 2 P.O. Box 7, Miki cho post office, Ikenobe 3011-2, Kagawa-Ken, 761-0799, Japan *Corresponding authors: sk111183@yahoo.fr Abstract Six sunflower lines were grown under field conditions in order to assess their oil content and fatty acid composition under three watering regimes (rain-fed, 50 % supply, and 100 % supply). Changes in oil percentage and fatty acid composition of sunflower seeds were determined and analyzed using a Soxhlet apparatus and gas chromatography. A significant genotype × water regime interaction for oil content was noted.
Estimating Producers’ Preferences for Sod Attributes: A Combined Approach of Discrete Choice Experiments and Eye-tracking Technology

This study combines a discrete choice experiment and eye-tracking technology to investigate producers’ preferences for sod attributes including winterkill reduction, shade tolerance, drought tolerance, salinity tolerance, and maintenance cost reduction. Our study results show that sod producers valued drought tolerance the most, followed by shade tolerance, winterkill reduction, salinity tolerance, and lastly, a 10% maintenance cost reduction. Choice survey data revealed the existence of attribute non-attendance, i.e., respondents skipped some attributes, but statistical tests detected no clear evidence about the role of individuals’ attention changes on their willingness-to-accept estimates. Estimates using a scale heterogeneity multinomial logit model indicate an overall learning effect as respondents made choices in the survey. Producers’ willingness-to-accept were generally higher than consumers’ willingness-to-pay for the improved sod variety attributes, except for the drought tolerance attribute. However, the rankings for these attributes were the same between consumers and producers.
High Precision Human Detection and Tracking Using Millimeter-Wave Radars

Millimeter-wave (mmWave) radar, as an emerging technique, is increasing in popularity for human activity recognition. In contrast to traditional sensors and radars, mmWave radars give detailed information on objects from the range domain to the Doppler domain. The short wavelength allows mmWave radars to achieve a high resolution and a small antenna size, but also makes them prone to noise. In this article, we present a system framework for human detection and tracking using mmWave radars. We show that mmWave radars have good performance in indoor environments, with over 90% sensitivity. We show that using a single radar can raise a large number of false alarms due to unstable data and noise. However, with two radars the precision of the system can be improved significantly.
An LSTM Approach for SAG Mill Operational Relative-Hardness Prediction

Ore hardness plays a critical role in comminution circuits. Ore hardness is usually characterized at sample support in order to populate geometallurgical block models. However, the required attributes are not always available and suffer for lack of temporal resolution. We propose an operational relative-hardness definition and the use of real-time operational data to train a Long Short-Term Memory, a deep neural network architecture, to forecast the upcoming operational relative-hardness. We applied the proposed methodology on two SAG mill datasets, of one year period each. Results show accuracies above 80% on both SAG mills at a short upcoming period of times and around 1% of misclassifications between soft and hard characterization. The proposed application can be extended to any crushing and grinding equipment to forecast categorical attributes that are relevant to downstream processes.
Determination of Antioxidant Compounds in Foodstuff

Phenolic compounds, vitamins and carotenoids are naturally found in different foodstuff . Th ese antioxidant compounds play an important role in human health and are of interest for the food, pharmaceutical and cosmeceutical industries. Modern chromatographic and spectrometric techniques have made analysis easier than ever before, but their success depends on the extraction method used. In fact, the different antioxidants are identified using chromatographic techniques coupled to diff erent specifi c detectors according to the characteristics of each molecule. Beyond their well-known health-promoting effects, antioxidant molecules can also be used to functionalize or preserve the freshness, nutritive value, flavor and color of foodstuff s, which justify their incorporation into several matrices. In this chapter, the most common antioxidant compounds in foodstuff will be described, as well as the methodologies involved in their extraction, separation, identification and quantification. Th e bioactive properties and industrial applications of these compounds through innovative techniques will also be taken into account.
Circadian rhythm characteristics of salivary alpha-amylase – a potential stress marker, in breast cancer in- and out-patients: a follow-up study

ABSTRACT Salivary alpha-amylase has been implemented as renewed non-invasive biomarker of interest to measure the levels of stress in humans. In the current clinical study, two-factor repeated-measures cross-sectional design was implemented to determine the salivary alpha-amylase levels and its rhythm characteristics in newly diagnosed female breast cancer in- and out-patients. Alpha-amylase levels were determined using the Salimetrics® salivary alpha-amylase assay kit. Rhythm characteristics of alpha-amylase were computed using the Cosinor Rhythmometry technique. Results showed that the levels of alpha-amylase significantly increased from/to the increasing number of chemotherapy cycle in patients of both group; however the levels were higher in in-patients. Further, results revealed significant differences in rhythm characteristics of alpha-amylase characterized by higher MESOR, lower amplitude, and advanced acrophase in in-patients as compared to out-patients. Current findings indicate that patients of both the groups were associated with progression under stress levels across the number of chemotherapy cycle; however, the levels of stress were higher in in-patients as compared to out-patients. Higher level of stress in cancer in-patients could be attributed to the possible effect of hospitalization and/or relative social isolation.
The tadpole of Rhinella crucifer (WIED-NEUWIED, 1821) (Amphibia: Anura: Bufonidae) from southern Bahia, Brazil

According to Baldissera et al. (2004) the Rhinella crucifer group includes five recognized species: Rhinella crucifer (Wied-Neuwied, 1821); R. ornata (Spix, 1824); R. henseli (A. Lutz, 1924); R. abei and R. pombali (Baldissera, Caramaschi & Haddad, 2004). The distribution of this group is associated to the Atlantic Rain Forest, from Ceara to Rio Grande do Sul, adjacent areas in Minas Gerais and Sao Paulo, Brazil. One species also occurs in Uruguay and northeastern Argentina, in the Misiones and Corrientes provinces (Baldissera et al. 2004; Frost 2011). Thome et al . (2010) in a phylogeographic study of the Rhinella crucifer group identified two subclades in northeastern Brazil and adjacent areas: one ranging from Bahia to Paraiba and another from Minas Gerais to Espirito Santo. Of five species belonging to the R. crucifer group, only two have described tadpoles, R. ornata and R. pombali (Heyer et al. 1990, where the tadpole described as R. crucifer represents R. ornata ; Lourenco et al. 2010). Here we described the tadpole of R. crucifer from a population from southern Bahia.
Evaluating the expression of Hv TIP2;3 and Hv TIP4;1 in barley genotypes under different levels of salinity stress

Barley is the most salt tolerant cereal and is grown in a wide range of climatic conditions. To improve the plant tolerance to salinity‚ expression analysis of genes involved in stress tolerance could be effective in identification and development of tolerant genotypes. In this study, for evaluation of salinity effect on expression of HvTIP2;3 and HvTIP4;1 genes (encoding channel proteins in the membrane) in the root of barley, three genotypes viz., Clipper (salt susceptible), Sahara3771 (salt tolerant) and advanced breeding line (a salt tolerant line derived from a cross between Kavir and Sahara genotypes) were planted under 0, 100 and 200 mMNaCl. Analysis of variance revealed non-significant differences among genotypes, salinity levels and sampling stages for HvTIP2;3 and HvTIP4;1 genes expression pattern, whereas genotype x salinity interaction for HvTIP2;3 and genotype x sampling stage interaction were significant for both of the genes studied. The expression of HvTIP 2;3 gene in the 100 mMNaCl, was increased in salt susceptible genotype Clipper and decreased in tolerant genotypes compared with control. Mean comparison of genotype and sampling stage combination showed that the expression level of HvTIP4;1 gene 3 weeks after salinity stress was increased in Sahara and advanced breeding line and decreased in Clipper. The study revealed that these genes are affected under salinity stress‚ and their effective utilization may increase salinity tolerance in plants.
Implementation Aspects of 3D Lattice-BGK: Boundaries, Accuracy, and a New Fast Relaxation Method

In many realistic fluid-dynamical simulations the specification of the boundary conditions, the error sources, and the number of time steps to reach a steady state are important practical considerations. In this paper we study these issues in the case of the lattice-BGK model. The objective is to present a comprehensive overview of some pitfalls and shortcomings of the lattice-BGK method and to introduce some new ideas useful in practical simulations. We begin with an evaluation of the widely used bounce-back boundary condition in staircase geometries by simulating flow in an inclined tube. It is shown that the bounce-back scheme is first-order accurate in space when the location of the non-slip wall is assumed to be at the boundary nodes. Moreover, for a specific inclination angle of 45 degrees, the scheme is found to be second-order accurate when the location of the non-slip velocity is fitted halfway between the last fluid nodes and the first solid nodes. The error as a function of the relaxation parameter is in that case qualitatively similar to that of flat walls. Next, a comparison of simulations of fluid flow by means of pressure boundaries and by means of body force is presented. A good agreement between these two boundary conditions has been found in the creeping-flow regime. For higher Reynolds numbers differences have been found that are probably caused by problems associated with the pressure boundaries. Furthermore, two widely used 3D models, namelyD3Q15andD3Q19, are analysed. It is shown that theD3Q15model may induce artificial checkerboard invariants due to the connectivity of the lattice. Finally, a new iterative method, which significantly reduces the saturation time, is presented and validated on different benchmark problems.
NEUROPROTECTIVE ROLE OF COSTUS IGNEUS IN PARKINSON INDUCED D. MELANOGASTER

Drosophila melanogaster is introduced to the diseased state of Parkinson’s by mitochondrial complex I inhibitor rotenone. Neuroprotective function of Costus igneus was put to test in these Parkinson induced D.melanogasters. 4 groups each- healthy control, diseased control, positive control & study drug group formed the backbone of this study.Climbing assay and oxidative stress indicator malondialdehye were the reference barometers in this study.
Nitrogen deposition and climate change have increased vascular plant species richness and altered the composition of grazed subalpine grasslands

Atmospheric nitrogen (N) deposition and climate warming are two major components of global change that drive species richness and composition in plant communities. However, their combined effects have been insufficiently investigated across large spatial and temporal scales particularly in high‐elevation, nutrient‐limited ecosystems. We examine whether and how N deposition and climate warming have altered the plant richness and the composition of subalpine semi‐natural, extensively grazed grasslands of the Pyrenees, using two complementary approaches: (i) analysis of 553 relevés to explore vegetation changes across large ecological gradients including temperature and N deposition (spatial approach) and (ii) a re‐sampling of a subset of 40 sites among the 553 sites to assess temporal changes over the past decades (temporal approach). Both approaches showed that the vascular plant species richness increased when temperature and cumulative N deposition increase, shifting the species composition towards more thermophilic and eutrophic communities. Synthesis. We hypothesize that the release from abiotic constraints (milder temperature and higher nitrogen availability) due to global changes and long‐standing extensive grazing counteracting the negative effects of nitrogen deposition have been responsible for the diversity and compositional changes of plant communities over the last decades in the Pyrenees. Thus, in contrast with other grasslands, high‐elevation grazed grasslands may increase in species diversity with nitrogen deposition under climate warming.
Transparency and trust in artificial intelligence systems

ABSTRACT Assistive technology featuring artificial intelligence (AI) to support human decision-making has become ubiquitous. Assistive AI achieves accuracy comparable to or even surpassing that of human experts. However, often the adoption of assistive AI systems is limited by a lack of trust of humans into an AI’s prediction. This is why the AI research community has been focusing on rendering AI decisions more transparent by providing explanations of an AIs decision. To what extent these explanations really help to foster trust into an AI system remains an open question. In this paper, we report the results of a behavioural experiment in which subjects were able to draw on the support of an ML-based decision support tool for text classification. We experimentally varied the information subjects received and show that transparency can actually have a negative impact on trust. We discuss implications for decision makers employing assistive AI technology.
Comparison of phytoestrogens dietary intake from vegetables and fruit in selected population in Slovakia

Phytoestrogens are compounds that are naturally present in almost all plant foods to a varying degree. They include several different classes of chemical compounds known as isoflavones, coumestans and lignans. In our work we analyzed intake of phytoestrogens is based upon our answer questionaries' in different ages. Evaluating health effects of phytoestrogens is difficult and depends on numerous factors, including the kind and dose (amount) of phytoestrogens eaten and the age, gender, and health of the person. We are exposed daily to highly variable amounts of phytoestrogens. While adults are eating a vegetarian diet or those taking dietary supplements containing phytoestrogens have high levels of exposure, infants drinking soy-based formula have the highest exposure levels by far. Accurate information about dietary phytoestrogens is therefore important but there is very limited data concerning food contents. In this study, we analyzed the phytoestrogen content in fresh and processed fruits and vegetables. The comprehensive database of phytoestrogen content determined simultaneously in vegetables and fruits foods has been developed. The important source of phytoestrogens in Slovak men and women is garlic. Phytoestrogen intake of fruits in men as an in woman is very low. Slovak populations consume a lot of fruits but the total intake is low due to the lower content of phytoestrogens.
Convolutional Rank Filters in Deep Learning

Deep neural nets mainly rely on convolutions to generate feature maps and transposed convolutions to create images. Rank filters are already critical components of neural nets under the disguise of max-pooling, rank-pooling, and max-Unpooling layers. We propose a framework that generalizes them, and we apply the novel layers successfully in convolution and deconvolution while combining them with linear convolutional feature maps. We call this class of layers rank filters. We explore the robustness, training, and testing performance under different types of noise. We provide analysis for their proper weight initialization, and we explore different architectures to discover where and when the rank filters could be advantageous [1]. We also designed transposed versions of the non-linear filter that doesn’t generate artifacts. We propose the use of stochastic algorithms to sample sparse random real weights using the Gumbel max-trick. We compare the novel architectures with the baseline linear architectures. We recommend viewing histogram-based methods as potential deep learning models.