Miracle-dz/UniFAR-FTUs huggingface dataset:
DEVELOPMENT AND IMPLEMENTATION OF DATA LOGGER AND CONTROL STRATEGY FOR AUTOMATIC GEARSHIFT CONTROL FOR TWO-WHEELER

—Before making any change in the system requires the knowledge of the current condition of the system. Data collection system is one powerful device for information of the current state of the system. In this paper, low-cost data collection system has been prepared. The Arduino platform is used together with the hall-effect sensor, throttle position sensor, clutch position and brake position sensor mounted on the test vehicle to acquire the signals from them. The main objective is to create a data logger system for a two-wheeler which can give the signal to the vehicle controller for further purpose. This data will be used for making the actual control strategy of the vehicle which helps in shift schedule in the Automated Manual Transmission (AMT) vehicle. An experimental setup is designed to acquire the above parameters and the results are plotted. The clutch position sensor is designed separately to get the exact clutch depression. Our objective is to make a data logger system which is economical. The vehicular data is obtained by driving the vehicle in normal road conditions and with zero road gradient. This acquisition system can easily be mounted on any two-wheeler with very fewer modifications in the sensor. Shift schedule for a selected vehicle is generated using GT-SUIT
Plant-water relations of the mangrove species Rhizophora stylosa: a unique story.

M. HUBEAU, M.W. VANDEGEHUCHTE, A. GUYOT, C.E. LOVELOCK, D.A. LOCKINGTON, K. STEPPE Laboratory of Plant Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000 Gent, Belgium National Centre for Groundwater Research and Training, Australia School of Civil Engineering, The University of Queensland, St. Lucia 4072, Australia School of Biological Sciences, The University of Queensland, St. Lucia 4072, Australia
On the Move: Localization with Kinetic Euclidean Distance Matrices

In this paper, we propose kinetic Euclidean distance matrices (KEDMs)—a new algebraic tool for localization of moving points from spatio–temporal distance measurements. KEDMs are inspired by the well-known Euclidean distance matrices (EDM) which model static points. When objects move, trajectory models may enable better localization from fewer samples by trading off samples in space for samples in time. We develop the theory for polynomial trajectory models used in tracking and simultaneous localization and mapping. Concretely, we derive a semidefinite relaxation for KEDMs inspired by similar algorithms for the usual EDMs, and propose a new spectral factorization algorithm adapted to trajectory reconstruction. Numerical experiments show that KEDMs and the new semidefinite relaxation accurately reconstruct trajectories from incomplete, noisy distance observations, scattered over multiple time instants. In particular, they show that temporal oversampling can considerably reduce the required number of measured distances at any given time.
Application of the generalizability theory of tensiomyography analysis of professional road cyclists

El objetivo del trabajo es determinar la fiabilidad y generalizabilidad de la estructura de datos procedentes de la evaluacion, a traves de tensiomiografia (TMG), de los parametros tiempo de contraccion muscular (TC) y maximo desplazamiento radial del vientre muscular (DM) de los musculos vastus medialis, vastus lateralis, rectus femoris y biceps femoris de 10 ciclistas profesionales de fondo en carretera. Las mediciones de TMG tuvieron lugar durante el periodo preparatorio y el periodo competitivo. Se realizo un analisis de componentes de varianza por procedimiento de minimos cuadrados y de maxima verosimilitud (<.0001), y un analisis de generalizabilidad. Los resultados indican que los valores de error del analisis de componentes de varianza por procedimiento de minimos cuadrados y de maxima verosimilitud son identicos para las variables TC y DM, lo que permite considerar la muestra como normal, lineal y homocedastica. El modelo de precision de la variable TC presenta un adecuado nivel de fiabilidad y de generalizabilidad ( e 2 = 0.890 Φ = 0.831) . El modelo con la variable DM presenta un adecuado nivel de fiabilidad y una generalizabilidad cercana a la adecuada ( e 2 = 0.826 Φ = 0.785) . La optimizacion de la estructura de diseno con la variable TC consiguio unos excelentes niveles de fiabilidad ( e 2 = 0.939) y de generalizabilidad ( Φ = 0.903) , al igual que la variable DM ( e 2 = 0.922 Φ = 0.901). La importancia de este trabajo radica en la utilizacion de la TMG como tecnica de intervencion primaria en la prevencion de lesiones musculares a traves del calculo de simetrias y su compensacion con garantias de fiabilidad, precision y validez.
Paradoxical Facilitatory Effect of Low-Dose Alcohol Consumption on Memory Mediated by NMDA Receptors

Epidemiological studies have suggested a negative correlation between alcohol intake and Alzheimer's disease. In vitro, ethanol negatively modulates NMDA receptor function. We hypothesized that chronic moderate alcohol intake leads to improved memory via adaptive responses in the expression of NMDA receptors and downstream signaling. We fed liquid diets containing no, moderate, or high amounts of ethanol to control and matched rats with hippocampal knock-down of the NR1 subunit. Rats with increased hippocampal NR1 expression were also generated to determine whether they had a phenotype similar to that of ethanol-fed animals. We found that moderate ethanol intake improved memory, increased NR1 expression, and changed some aspects of neurotrophin signaling. NR1 knock-down prevented ethanol's facilitatory effects, whereas hippocampal NR1 overexpression mimicked the effect of chronic low-dose ethanol intake on memory. In contrast, high-dose ethanol reduced neurogenesis, inhibited NR2B expression, and impaired visual memory. In conclusion, adaptive changes in hippocampal NMDA receptor expression may contribute to the positive effects of ethanol on cognition.
BAKER AND BRUEMMER : OXIDATION OF ASCORBIC ACID 269 OXIDATION OF ASCORBIC ACID BY ENZYME PREPARATIONS FROM ORANGE

Many of the flavor compounds in citrus fruit are synthesized by oxidation-reduction reactions mediated by enzymes in the fruit. The oxidant in some of these reactions is the coenzyme, NADP. One possible way to regenerate this coenzyme to the active oxidized form is through the enzymic oxidation-reduction reactions involving glutathione and ascorbic acid. A system which degrades ascorbic acid in preparations from mature fruit without the con sumption of O2 has been found. This atypical system is sensitive to a number of compounds which inhibit typical ascorbic acid oxidase as well as several which do not. Typical ascorbic acid oxidase prepared from the peel of green oranges is easily distinguishable from the ma ture fruit system on the basis of chemical and physical properties. A number of factors point to the enzymic nature of this system: 1) the system is heat labile, being completely inactivated by two min utes at 100°C; 2) the reaction is stereospecific, oxidizing L-ascorbic acid approximately eight times faster than D-ascorbic acid; 3) the system exhibits an optimum reaction pH; and 4) ex tensive dialysis does not reduce the activity more than 20%. Results suggest that an inhibi tory reaction product is quickly formed which prevents further ascorbic acid oxidation. The existence of other enzymes which could function in the oxidation of alcohols and alde hydes utilizing oxidized glutathione and dehydroascorbic acid was demonstrated. These en zymes, glutathione reductase and dehydroascorbic acid reductase, are linked to a number of dehydrogenases via the oxidation of coenzymes. Both enzymes were present in mature fruit at somewhat higher concentrations than in green peel. Ascorbic acid oxidase activity of the prepa ration is destroyed at pH 4.0, which is slightly lOne of the laboratories of the Southern Utilization Re search and Development Division, Agricultural Research Service, U. S. Department of Agriculture. References to specific commercial products do not con stitute endorsement. higher than the pH of commercially extracted juice. In addition activity has been observed only in preparations from carefully neutralized juice, and not from conventionally extracted juice. Thus, the enzyme would not be expected to contribute to destruction of ascorbic acid in
Scalable photon splatting for global illumination

In this paper, we present a new image based method for computing efficiently global illumination using graphics hardware. We propose a two pass method to compute global lighting at each pixel. In the first pass, photons are traced from the light sources and their hit points are stored. Then, in the second pass, each photons hit point is splatted on the image to reconstruct the irradiance. The main advantages of our method in comparison with previous approaches is scalability. Indeed, it can be used to obtain coarse solution as well as accurate solution and is well suited for complex scenes. First, we present the density estimation framework that is the theory behind our reconstruction pass to understand how to control the accuracy with our method. Then, we show how to use graphics hardware to improve reconstruction time with some restrictions but without losing the ability to compute an accurate simulation.
Prevalence of enterotoxigenic Staphylococcus aureus in organic milk and cheese in Tabriz, Iran

Background and Objectives Staphylococcal food poisoning is a gastrointestinal disease, which is caused by consumption of contaminated food with enterotoxins produced by Staphylococcus aureus (SEs). Milk and its products are known sources of food borne diseases. This study was carried out to evaluate the prevalence of enterotoxigenic S. aureus strains in organic milk and cheese in Tabriz - Iran. Materials and Methods A total of 200 samples (100 milk samples and 100 cheese samples) were collected from farms and milk collection points in Tabriz - Iran. The samples were cultured and identified by standard bacteriological methods, then PCR was performed to detect sea gene. Results and Conclusion Staphylococcus aureus was found in 27% of all samples (milk and cheese). Results of PCR showed that 12.96% of S. aureus isolates possessed sea gene. It suggested the potential public health threat of S. aureus resulting from contamination of dairy products. So, efforts are required to improve safety standards for preventing staphylococcal food poisoning.
HIV Infection among Women Admitted to the Gynaecology Service of a District Hospital in South Africa

Our objective was to determine the prevalence of HIV infection and disease-specific HIV prevalence among women admitted to the gynaecology service of a district hospital in South Africa over a 3-month period in 1997. This was done with the goal of developing HIV education and counselling services in this setting. HIV status was determined among 196 (96%) of 205 consecutive admissions; 82 (42%) tested HIV positive. The HIV-infected women were younger than the HIV uninfected women (mean age 27 vs 33 years, P = 0.001). The disease-specific HIV prevalence was ≥40% among women who had had abortions, pelvic inflammatory disease, or ectopic pregnancy. The length of hospital stay (mean 5.4 days) and mortality (1%) were similar in the 2 groups. Inpatient gynaecology services may be an important setting in Africa, within which to provide HIV education, counselling and care.
Engineering stem cell cardiac patch with microvascular features representative of native myocardium

The natural myocardium is a highly aligned tissue with an oriented vasculature. Its characteristic cellular as well as nanoscale extracellular matrix (ECM) organization along with an oriented vascular network ensures appropriate blood supply and functional performance. Although significant efforts have been made to develop anisotropic cardiac structure, currently neither an ideal biomaterial nor an effective vascularization strategy to engineer oriented and high-density capillary-like microvessels has been achieved for clinical cardiovascular therapies. A naturally derived oriented ECM nanofibrous scaffold mimics the physiological structure and components of tissue ECM and guides neovascular network formation. The objective of this study was to create an oriented and dense microvessel network with physiological myocardial microvascular features. Methods: Highly aligned decellularized human dermal fibroblast sheets were used as ECM scaffold to regulate physiological alignment of microvascular networks by co-culturing human mesenchymal stem cells (hMSCs) and endothelial cells (ECs). The influence of topographical features on hMSC and EC interaction was investigated to understand underlying mechanisms of neovasculature formation. Results: Results demonstrate that the ECM topography can be translated to ECs via CD166 tracks and significantly improved hMSC-EC crosstalk and vascular network formation. The aligned ECM nanofibers enhanced structure, length, and density of microvascular networks compared to randomly organized nanofibrous ECM. Moreover, hMSC-EC co-culture promoted secretion of pro-angiogenic growth factors and matrix remodeling via metalloprotease-2 (MMP-2) activation, which resulted in highly dense vascular network formation with intercapillary distance (20 μm) similar to the native myocardium. Conclusion: HMSC-EC co-culture on the highly aligned ECM generates physiologically oriented and dense microvascular network, which holds great potential for cardiac tissue engineering.
Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect

Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, which is characterized by a breakdown of awareness for the contralesional hemispace. Recent studies with functional MRI (fMRI) suggest that hemineglect patients display abnormal intra-and inter-hemispheric functional connectivity. However, since stroke is a vascular disorder and fMRI signals remain sensitive to non-neuronal (i.e. vascular) coupling, more direct demonstrations of neural network dysfunction in hemispatial neglect are warranted. Here, we utilize electroencephalogram (EEG) source imaging to uncover differences in resting-state network organization between patients with right-hemispheric stroke (N = 15) and age-matched, healthy controls (N = 27), and determine the relationship between hemineglect symptoms and brain network organization. We estimated intra-and inter-regional differences in cortical communication, by calculating the spectral power and amplitude envelope correlations (AEC) of narrow-band EEG oscillations. We firstly observed focal frequency-slowing within the right posterior cortical regions, reflected in relative delta/theta power increases and alpha/beta/gamma decreases. Secondly, nodes within the right temporal and parietal cortex consistently displayed anomalous intra- and inter- hemispheric coupling, stronger in delta and gamma bands, and weaker in theta, alpha, and beta bands. Finally, a significant association was observed between the severity of left-hemispace search deficits (e.g. cancellation test omissions) and reduced functional connectivity within the alpha and beta bands. In sum, our novel results validate the hypothesis of large-scale cortical network disruption following stroke, and reinforce the proposal that abnormal brain oscillations may be intimately involved in the pathophysiology of visuospatial neglect.
Development of a head rotation interface by using Hanger Reflex

When a head is equipped with a hanger made of wire sideways, and its temporal region is sandwiched by the hanger, the head rotates unexpectedly. We named the phenomenon “Hanger Reflex”, and we have studied this phenomenon to understand its mechanism and to show the possibility of utilizing the phenomenon as a human interface. However, to use it as an interface, pain sensation induced by the hanger becomes a practical problem. In this paper, we determined the necessary conditions of the Hanger Reflex, and we developed an interface that can induce head rotation by using the Hanger Reflex, without giving pain to the user.
The Practice of Nonviolence: Teaching an Undergraduate Course in Nonviolent Communication

This Best Practices article outlines 10 tips relative to teaching a course in Nonviolent Communication (NVC). It outlines suggestions for readings, activities, and projects throughout a semester-long undergraduate course. The article addresses how students can learn both the theory and practice of nonviolence by means of readings and activities that address social problems such as sexism, racism, bias, and violence against oneself and the earth. Specific suggestions are provided for creative ways in which students can be engaged with readings so that they have ownership of their in-class experience. Details regarding an independent long-term project providing freedom of creativity in out-of-class work are included, as well as suggestions for interactive, face-to-face activities in class.
Nearly Optimal Semi-Supervised Learning on Subgraphs

The harmonic solution (HS) on a graph is one of the most popular approaches to semi-supervised learning. This is the first paper that studies how to identify highly confident HS predictions on a graph based on the HS on its subgraph. The premise of our method is that the subgraph is much smaller than the graph and therefore the most confident predictions can be identified much faster than computing the HS on the graph. We introduce a class of subgraphs that allow for good approximations, prove bounds on the difference in the HS on the graph and its subgraph, and propose an efficient approach to building the subgraphs. Our solution is evaluated in the domains of handwritten digit recognition, and topic discovery in restaurant and hotel reviews. In all cases, we show that only a small portion of the graph is sufficient to identify highly confident predictions.
Using Paternity Analysis to Measure Effective Pollen Dispersal in Plant Populations

Paternity analysis can be used to estimate mean effective pollen dispersal (μd) by sampling offspring from a mother plant and assaying each for a large number of allozyme loci. The male in the population with the highest likelihood of paternity, based entirely on the degree of genetic relationship with the offspring (transition probability) or combined with information on probability of mating with the mother plant, is inferred as the pollen parent. Computer simulations show that the mean distance between inferred males $$and mother plants (\overline d) reliably estimates \mu_d in defined circumstances. $$ If male mating success decreases with distance from the mother plant, paternity inference based entirely on transition probabilities $$results in \overline d values that$$ are upwardly biased, perhaps considerably. More reliable estimates can be obtained in this situation when prior information on the general form of the relationship between mating success and distance between mates (the distance function) is used, along with transition probabilities, to infer paternity. However, this procedure is valid only when the general form of the distance function can be reliably assumed. Computer simulations also show that the bootstrap method can be used to closely approximate $$the SE of \overline d. $$
Psychological Distress, Pain, Physical Impairment, and Acceptance among Women with Ovarian Cancer

Despite ovarian cancer being the deadliest form of gynecological cancers, there are significantly fewer studies addressing this type of cancer. The psychological and physical impact of the diagnosis and treatment for ovarian cancer can be debilitating. While previous studies have examined variables like physical impairment, pain, willingness and acceptance, and psychological distress in cancer patients, none have addressed all of these in ovarian cancer. Thus, the present study examined the relationship of these variables in 11 women with ovarian cancer, via self-report measures. To evaluate whether willingness and acceptance mediated the relationship between pain, physical impairment, and psychological distress, a linear multiple regression was utilized. While the mediation model was not supported, results indicate a potential trend in the relationship among physical impairment, acceptance, and psychological distress when willingness and acceptance are held constant. This suggests that a strong association between identified variables among women with ovarian cancer may be found through expansion of data and future research.
Common Subset Selection of Inputs in Multiresponse Regression

We propose the multiresponse sparse regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedure for linearly parameterized models, which updates with carefully chosen step lengths. The step length rule extends the correlation criterion of the least angle regression algorithm for many responses. We present a general concept and explicit formulas for three different variants of the algorithm. Based on experiments with simulated data, the proposed method competes favorably with other methods when many correlated inputs are available for model construction. We also study the performance with several real data sets.
Personality Dimensions and Anxiety or Depression

Similar associations between personality dimensions and anxiety or depressive disorders in a population study of Turkish-Dutch, Moroccan-Dutch, and native Dutch subjects. ABSTRACT It is well established that personality traits are associated with anxiety and depressive disorders in Western populations, but it is not known whether this is also true for people from non-Western cultures. In this study, we examined whether ethnicity moderates the association between personality dimensions and anxiety or depressive disorders or symptoms. In a random urban population sample, stratified by ethnicity, in Amsterdam, the Netherlands, we interviewed 309 native Dutch subjects, 203 Turkish-Dutch subjects, and 170 Moroccan-Dutch subjects. Dimensions of personality were measured using the NEO Five-Factor Inventory (NEO-FFI). Anxiety and depressive disorders and symptom levels were assessed with the Composite International Diagnostic Interview (CIDI) and the Symptom Checklist-90-Revised (SCL-90-R). The association between personality factors and disorders or symptoms of anxiety and depression was very similar in the three ethnic groups: all show the typical profile of high neuroticism, and low extraversion, agreeableness and conscientiousness.