Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPLEXITY OF COGNITIVE TASK AFFECTS GAIT BALANCE CONTROL IN CONCUSSED ADOLESCENTS

The purpose of this study was to prospectively examine the effect of different secondary tasks performed during gait on balance control ability in acutely concussed individuals. Individuals suffering from concussion subsequent to sport participation (n = 20) and healthy, matched controls (n = 20) were assessed in their ability to walk and complete three different cognitive tasks simultaneously over a period of two months following injury. Gait balance control deficits appeared to be greater as the complexity of the task increased. This finding may assist clinicians utilizing dual-task assessments in their diagnosis and management of concussion.
All-fiber widely tunable ultrafast laser source for multimodal imaging in nonlinear microscopy.

In this Letter, we present an all-fiber, easy-to-use, wavelength-tunable, ultrafast laser, based on soliton self-frequency shifting in an Er-doped polarization-maintaining very large mode area fiber. The system is tunable over 370 nm, starting at 1620 nm, with an average power of up to 1.5 W that emits 120 fs short laser pulses directly out of the fusion-spliced fiber without using bulky pulse compression optics. The output is subsequently frequency doubled to a wavelength range covering 810 nm up to almost 1000 nm with more than 500 mW average power and 120 fs pulse width. Having a polarization extinction ratio better than 40 dB and a M2 of 1.1, the fully computer-controlled laser system presents a robust and compact laser source. These parameters make the laser perfectly suited for multimodal imaging in nonlinear microscopy.
Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review

This paper presents a review of the techniques found in the literature that aim to achieve a robust heartbeat detection from fusing multi-modal physiological signals (e.g., electrocardiogram (ECG), blood pressure (BP), artificial blood pressure (ABP), stroke volume (SV), photoplethysmogram (PPG), electroencephalogram (EEG), electromyogram (EMG), and electrooculogram (EOG), among others). Techniques typically employ ECG, BP, and ABP, of which usage has been shown to obtain the best performance under challenging conditions. SV, PPG, EMG, EEG, and EOG signals can help increase performance when included within the fusion. Filtering, signal normalization, and resampling are common preprocessing steps. Delay correction between the heartbeats obtained over some of the physiological signals must also be considered, and signal-quality assessment to retain the best signal/s must be considered as well. Fusion is usually accomplished by exploiting regularities in the RR intervals; by selecting the most promising signal for the detection at every moment; by a voting process; or by performing simultaneous detection and fusion using Bayesian techniques, hidden Markov models, or neural networks. Based on the results of the review, guidelines to facilitate future comparison of the performance of the different proposals are given and promising future lines of research are pointed out.
Group Based Neural Collaborative Filtering for E-Learning Recommender System

: : E-Learning is playing the vital role in the educational sector. Data mining techniques are statistical technique using that we can extract the useful information. Applying the data mining algorithms in the education data is known as Educational Data Mining. There are many applications of EDM for the betterment of the students or learners world. One of the important applications is Recommender system using that learners can able to get the books or materials based on their preferences. In this paper, we proposed the Group based Neural Collaborative Filtering to provide the materials based on the students levels (Beginner, Intermediate and Master) and to the corresponding groups. That is recommendation is not only based on the level of student and also in between the groups.
Agroforestry Indices Modeling for Sustainable Land Use Classification in Huai Raeng-Khlong Peed Watershed, Trat Province, Thailand

Land use was modeled based on the sustainability of land uses in terms of biophysical aspects. The main objective of this study was to classify land use sustainability based on three agroforestry indices (organic matter, soil erosion and species diversity) which were determined using a weighting and rating score developed by experts from agroforestry, agriculture and government institutions. The relationship of the indices was established using a weighted linear combination technique to develop the model, and modeling was used to develop an agroforestry index (AFI). Site observation data were used in the AFI equation to obtain land use types under sustainability (ST) levels. The “highest” ST level was recorded for the home garden which was distributed over only 2 km 2 (1.2% of the area), whist a “moderate” ST level was recorded for most land use types in the study area (124 km 2 , 73.4%) consisting of rambutan, mangosteen and para rubber plantations. Oil palm was at the “lowest” ST level. A “low” ST level was not found in the study area. Therefore, the highest ST level should be identified as the best land use; it could be developed from existing land uses or established as a new land use in the study area. This study provided information to help identify priorities with regard to land use types and the sustainable land characteristics that can be useful for managers and planners in local and central governments and in other nongovernmental organizations. Keyword: agroforestry, landscape agroforestry, sufficiency economy, modeling
(Not so) Smart sleep tracking through the phone: Findings from a polysomnography study testing the reliability of four sleep applications

An increasing number of sleep applications are currently available and are being widely used for in‐home sleep tracking. The present study assessed four smartphone applications (Sleep Cycle‐Accelerometer, SCa; Sleep Cycle‐Microphone, SCm; Sense, Se; Smart Alarm, SA) designed for sleep−wake detection through sound and movement sensors, by comparing their performance with polysomnography. Twenty‐one healthy participants (six males, 15 females) used the four sleep applications running on iPhone (provided by the experimenter) simultaneously with portable polysomnography recording at home, while sleeping alone for two consecutive nights. Whereas all apps showed a significant correlation with polysomnography‐time in bed, only SA offered significant correlations for sleep efficacy. Furthermore, SA seemed to be quite effective in reliable detection of total sleep time and also light sleep; however, it underestimated wake and partially overestimated deep sleep. None of the apps resulted capable of detecting and scoring rapid eye movement sleep. To sum up, SC (functioning through both accelerometer and microphone) and Se did not result sufficiently reliable in sleep−wake detection compared with polysomnography. SA, the only application offering the possibility of an epoch‐by‐epoch analysis, showed higher accuracy than the other apps in comparison with polysomnography, but it still shows some limitations, particularly regarding wake and deep sleep detection. Developing scoring algorithms specific for smartphone sleep detection and adding external sensors to record other physiological parameters may overcome the present limits of sleep tracking through smart phone apps.
Transformative Learning is Not An Add-On – It is the Essence of Adult Education

This paper draws on different bodies of literature and explores the potential for transformational learning within the context of graduate studentsupervisor relationships. The authors (graduate student and supervisor) respond to the question: How can the student-supervisor relationship inform and foster transformative learning? Overview When in graduate school, students are exposed to diverse points of view and critical thought. This contributes to a deepened awareness and to an enriched and expanded perspective on learning, ways of thinking, and praxis. “All learning means change” (Mandell & Herman, 2009, p. 78). Therefore, graduate students need to be challenged to question tightly held beliefs, ideas, and values. As a graduate student, I have been continuously called to question my own ways of thinking, to search for new meaning, and to find ways of reconciling new found meaning with previously held assumptions. This has contributed to personal transformation and growth. Research on transformative learning establishes the importance of relationships for fostering adult learning (Taylor, 2008). One of the most significant relationships for graduate students is the relationship with their academic supervisor. Research suggests that mentoring relationships between graduate student and supervisor can be instrumental in facilitating transformative learning (Johnson, 2007). Many researchers have studied transformational learning in the higher education setting (Taylor, 2007); however, few studies focus specifically on the transformative learning potential of the student-supervisor relationship. This paper draws on different bodies of literature to explore how transformational learning can be facilitated through graduate student-supervisor relationships. The authors (graduate student and supervisor) seek to answer the primary question: How can the student-supervisor relationship play a key role in fostering transformative learning? Transformative Learning Learning is about making meaning. “To make meaning means to make sense of an experience, we make an interpretation if it, when we subsequently use this interpretation to guide decision-making or action, then making ‘meaning’ becomes ‘learning’” (Mezirow, 1990, p. 1). How an individual interprets and makes meaning of experience depends on the individual’s frame of reference (Mezirow, 1994). Frame of reference refers to “assumptions and expectations on which our thoughts, feelings, and habits are based” (Mezirow, 2009, p. 23). Our frame of reference is comprised of meaning structures, including attitudes, beliefs, and values, that are formed based on cultural, social, educational, economic, political, or psychological experiences (Mezirow, 1994; Mezirow, 1997). According to Mezirow (2009), transformative learning
Factors Affecting the Mixotrophic Flagellate Poterioochromonas malhamensis Grazing on Chlorella Cells

Grazing behaviour between protozoa and phytoplankton exists widely in planktonic ecosystems. Poterioochromonas malhamensis is a well‐known and widespread mixotrophic flagellate, which is recognized to play an important role within marine and freshwater planktonic ecosystems and regarded as the greatest contamination threat for mass algal cultures of Chlorella. In this study, a comprehensive range of factors, including morphological characters, biochemical compositions, and specific growth rate of ten species or strains of Chlorella, were evaluated for their effect on the feeding ability of P. malhamensis, which was assessed by two parameters: the clearance rate of P. malhamensis on Chlorella spp. and the specific growth rate of P. malhamensis. The results showed that the clearance rate of P. malhamensis was negatively correlated with cell wall thickness and specific growth rate of Chlorella spp. , while the specific growth rate of P. malhamensis was positively correlated with carbohydrate percentage and C/N ratio and negatively correlated with protein, lipid percentage, and nitrogen mass. In conclusion, the factors influencing feeding selectivity include not only the morphological character and chemical composition of Chlorella, but also its population dynamics. Our study provides useful insights into the key factors that affect the feeding selectivity of P. malhamensis and provides basic and constructive data to help in screening for grazing‐resistant microalgae.
Cardiac sympathectomy and spinal cord stimulation attenuate reflex-mediated norepinephrine release during ischemia preventing ventricular fibrillation.

RATIONALE Reflex-mediated sympathoexcitation is central to the pathogenesis of arrhythmias and heart disease; neuraxial modulation can favorably attenuate these cardiac reflexes leading to cardioprotection. OBJECTIVE The purpose of this study was to define the mechanism by which cardiac neural decentralization and spinal cord stimulation (SCS) reduces ischemia-induced ventricular fibrillation (VF) and sudden cardiac death (SCD) by utilizing direct neurotransmitter measurements in the heart. METHODS AND RESULTS Direct measurement of norepinephrine (NE) levels in the left ventricular (LV) interstitial fluid (ISF) by microdialysis in response to transient left anterior descending coronary artery occlusion (CAO: 15 min) in anesthetized canines. Responses were studied with: (i) intact neuraxis and were compared to those in which the (ii) intrathoracic component of the cardiac neuraxis (stellate ganglia),(iii) the intrinsic cardiac neuronal (ICN) system were surgically delinked from the central nervous system versus (iv) subjects with intact neuraxis subjected to pre-emptive SCS (T1-T3 spinal level). With an intact neuraxis, animals with exaggerated NE-ISF levels in response to CAO were at increased risk for VF and SCD. During CAO there was a 152% increase in NE level when the entire neuraxis was intact compared to 114% following intrathoracic neuraxial decentralization (removal of the stellates) and 16% increase following ICN decentralization, when the entire heart and ICN was delinked from the other levels of the neuraxis. During SCS, CAO increased NE levels by 59%. Risk for CAO-induced VF was 38% in controls, 8% following total decentralization and 11% following SCS. CONCLUSIONS These data indicate that ischemia related afferent neuronal transmission engages central and intrathoracic sympathetic reflexes which amplifies sympathoexcitation and results in an increase in regional ventricular NE release that causes VF and SCD. Surgical decentralization or SCS prevents this amplification of sympathoexcitation, attenuating the resultant NE release, and reduces VF and SCD.
Detection of enteric bacteria in the popular street food chotpoti in Dhaka, Bangladesh

Contaminated street food has been linked to food-borne illness and food-borne outbreak. Chotpoti is a popular street food in Bangladesh. This study was conducted to identify enteric bacteria in chotpoti sold in different parts of the capital city Dhaka. From July to October, 2012 we purposively selected 18 sites where chotpoti was sold in Dhaka city. From each site we randomly selected six chotpoti stalls for sample collection. At each stall we aseptically collected approximately 100 gm of a combined sample of chotpoti , chili sauce and water used for cleaning utensils. The combined sample was homogenized and was serially diluted in a sterile test tube with normal saline to obtain a dilution up to 10 -5 . From each test tube 0.1 ml of dilution was plated on to MacConkey and Blood agar plates under aerobic conditions at 37 ˚ C for 24 to 48 hours. Bacterial growth was identified by the colonial morphology, Gram stain, and biochemical tests. Of the 108 samples we analyzed, 84 (78%) were contaminated with bacterial pathogens. Among isolated organisms Acinetobacter (66%) was the most dominant followed by Klebsiella spp. (54%), E. coli (3%) and Proteus spp. (0.9%). Two different organisms were present in 47 (44%) samples. In half of the study sites, every sample was contaminated; in only one site bacterial contamination was absent in all samples. Contaminated street food like chotpoti may cause food borne illness and pose risk of food borne epidemics. Further studies are required for quantitative assessment of pathogens to detect potential sources of contamination and to develop interventions that can effectively reduce street food contamination. Asian J. Med. Biol. Res. December 2016, 2(4): 596-602
Ergothioneine is associated with reduced mortality and decreased risk of cardiovascular disease

Objectives We recently identified a health conscious food pattern (HCFP) associated with reduced risk of cardiometabolic disease. However, the molecular events linking the healthy food pattern to reduced risk of cardiometabolic disease are unknown. Our aim was to identify plasma metabolites associated with the HCFP and test if such metabolites predict cardiometabolic disease and mortality. Methods Using liquid-chromatography mass-spectrometry, 112 plasma metabolites were measured in 3236 participants without cardiovascular disease (CVD) and diabetes mellitus from the population-based Malmö Diet and Cancer study. Metabolites associated with the HCFP were identified using multivariable adjusted linear regressions followed by Bonferroni correction. The healthy dietary biomarkers were subsequently related to risk of cardiometabolic disease and mortality during long-term follow-up with multivariable adjusted Cox proportional hazards models. Results During a median follow-up time of 21.4 years, 603 participants developed CVD, 362 developed diabetes mellitus and 843 participants died. Five healthy dietary biomarkers were associated with the HCFP at baseline (p<0.0004) and four predicted at least one of the studied end points (p<0.05). Ergothioneine was the metabolite most strongly connected to the HCFP and was associated with a lower risk of coronary disease (HR per 1 SD increment of ergothioneine, HR=0.85, p=0.01), cardiovascular mortality (HR=0.79, p=0.002) and overall mortality (HR=0.86, p=4e-5). Conclusions We identified that higher ergothioneine was an independent marker of lower risk of cardiometabolic disease and mortality, which potentially can be induced by a specific healthy dietary intake.
Substitution of Soybean Meal and Cornmeal to Moisture, pH, Bacterial Colony Forming and Shelf Life of Rejected Duck Meatballs

This study aimed to determine the effect of substitution of soybean meal with cornmeal to moisture, pH, bacterial colony forming and the shelf life of rejected duck meatballs. This research material using duck meat Coast (Indian Runner) salvage as much as 4000 grams were obtained from the Livestock Anduring Padang and soybean meal with Mungbean trademarks and cornmeal with cornstarch trademarks respectively of 600 grams were obtained at Raya Padang market. The research method used was experimental method with the random design, which consists of 5 treatments and 4 groups as replication. The treatment given in this study is the substitution of soybean meal and maize by A (100%: 0%), B (75%: 25%), C (50%: 50%), D (25%: 75%) and E (0%: 100%). Variables measured were moisture, pH, bacterial colony forming and the shelf life of rejected duck meatballs. The results of this study indicate that substitution of soybean meal and cornmeal significant effect on moisture, pH, bacterial colony forming and shelf life. Substitution of soybean meal and cornmeal by 100%: 0% is the best to produce the rejected duck meatballs with 69.20% moisture, pH 6.44, bacterial colony forming 7.85 x 105 CFU / g, and the shelf life of 22.12 hours.
Geographical coverage of the higher education offer and its relationship with social equity case study: Manizales university campus

Higher education is essential for the economic and social development of a country, generating social mobility in the different regions, mitigating the inequality and inequity that exist in the countries. In this sense, Manizales has focused its vision of the city in strengthening and developing as the main university city of the country, promoting different policies of support in research and academic offerings among the 6 main universities of the city, benefiting the nearly 50 thousand registered students. Therefore, it is essential to measure the geographic coverage, through the comprehensive accessibility, that higher education has in general and that of each university in particular, in order to find the current panorama of the city and its relationship with the population and the different socioeconomic strata.
FIRE MODELLING TO ASSESS SPATIAL PATTERNS OF WILDFIRE EXPOSURE IN ARDABIL, NW IRAN

Abstract. Fire exposure describes the spatial juxtaposition of values with fire behaviour in terms of likelihood and intensity. Wildfire exposure analysis is based on the estimation of the potential wildfire intensity and on the burn probability. Fire modelling can produce spatially explicit information on fire spread and behaviour, and offers a feasible method to simulate, map, and analyse fire exposure. FlamMap Minimum Travel Time (MTT) algorithm (Finney, 2006) was used to conduct wildfire simulations considering historical data of fuel moisture conditions and winds, as well as the most frequent wind directions and historical ignition locations (2005-2018). Analysis was conducted on spatial and quantitative variations in selected fire hazard and exposure factors, namely Burn Probability (BP), Conditional Flame Length (CFL) and Fire Size (F). We observed pronounced spatial variations among and between municipalities in the factors, especially for those in the northern and southern parts of Ardabil. The variations across the burnable area of the municipalities can be fundamentally related to a number of factors, including spatial variation in ignition locations, fuel moisture and load, weather conditions, and topography of the terrain. The findings can provide information and support in wildfire management planning and fire risk mitigation activities.
Assessment of stochastic and deterministic models of 6304 quasar lightcurves from SDSS Stripe 82

The optical light curves of many quasars show variations of tenths of a magnitude or more on time scales of months to years. This variation often cannot be described well by a simple deterministic model. We perform a Bayesian comparison of over 20 deterministic and stochastic models on 6304 QSO light curves in SDSS Stripe 82. We include the damped random walk (or Ornstein-Uhlenbeck [OU] process), a particular type of stochastic model which recent studies have focused on. Further models we consider are single and double sinusoids, multiple OU processes, higher order continuous autoregressive processes, and composite models. We find that only 29 out of 6304 QSO lightcurves are described significantly better by a deterministic model than a stochastic one. The OU process is an adequate description of the vast majority of cases (6023). Indeed, the OU process is the best single model for 3462 light curves, with the composite OU process/sinusoid model being the best in 1706 cases. The latter model is the dominant one for brighter/bluer QSOs. Furthermore, a non-negligible fraction of QSO lightcurves show evidence that not only the mean is stochastic but the variance is stochastic, too. Our results confirm earlier work that QSO light curves can be described with a stochastic model, but place this on a firmer footing, and further show that the OU process is preferred over several other stochastic and deterministic models. Of course, there may well exist yet better (deterministic or stochastic) models which have not been considered here.