Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenology-Adjusted Stress Severity Index to Assess Genotypic Responses to Terminal Drought in Field Grown Potato

Potato is a drought susceptible, often rain-fed crop suffering strongly from even short periods of soil water deficit. With global environmental conditions changing, potato clones resistant to variable water supply are needed and identifying them is a major task. Many indices assessing potato tolerance to water deficit have been proposed, albeit none of them takes into account the severity of the stress or the sensitivity of the developmental stage during which the stress occurs. As a result, data obtained on genotypes in one location or season are normally not useful in another location or in a different season. We have developed an index evaluating yield response of potato to water deficit based on the soil tension the genotype was subjected to for the duration of the stress modified by the development stage of the genotype. The sum of the daily values was combined in a stress severity index (SSI). In total thirteen genotypes differing in duration and sensitivity to drought were subjected to four levels of deficit irrigation on two soil types at different development stages over two years. Early drought (early tuber filling) reduced yields up to 95% whereas late drought (late tuber bulking) reduced yields significantly less. SSI depended on the genotypic phenological development and on the soil tension values and ranges between 25 and 3500. The index differentiated genotypic responses well across treatments and soil types, even with these relatively advanced development stages, up to a value of 1000. Beyond 1000, yields were generally reduced by more than 60% and a differentiation between genotypes was not possible anymore. SSI constitutes a method that renders site, location, year, season, and soil type effects comparable for responses of potato clones to soil water deficit. Combining this measure of stress severity with other proposed indices may improve upon their current weaknesses in finding or identifying the underlying traits of drought tolerance in potato.
Impact of Frontline Demonstrations on Finger Millet in Tribal Areas of Dharmapuri District of Tamil Nadu, India

Finger millet (Eleusine coracana L. Gaertn) is one of the important millets grown extensively in Dharmapuri District. It is a hardy crop, has good adaption to wide range of environment especially heat, drought, marginal and degraded soils (Okalebo et al., 1991). Finger millet is the principal food grain of the rural population in India, especially in South India. It is very nutritious with respect to minerals, dietary fiber and essential amino acids. Amongst cereals, Ragi provides highest level of calcium including International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 8 (2020) Journal homepage: http://www.ijcmas. com
Characterization of young donkeys in north west Nigeria using morphometric traits

Morphometric traits were used to determine the relationship among Red (Auraki), Black (Duni), White (Fari), Brown (Idabari) and Brown-white (Idabari-fari) for young donkeys. A total of 210 young donkeys were used for the study. Morphometric measures taken were head length, head width, ear length, neck length, neck circumference, shoulder width, height at withers, heart girth, body length and tail length. Data obtained were subjected to statistical analysis to determine the distribution of phenotypic traits across classes based on morphometric traits. The effect of strain, sex, location and interaction on certain linear body measurements were estimated using the GLM procedure of the statistics analysis software SAS statistical package. There were variations in the morphometric traits of the donkeys due to strain, sex and location effects with white donkeys exhibited the heaviest body weight (126.78kg) for young donkeys from Kaduna state while the least body weight (98.89±6.68cm) was recorded in Fari strain of donkey from Katsina state. The coefficient of variation was fairly uniform at the young stage except shoulder width (13.0%) and tail length (14.8%) which were moderate. Sexual dimorphism exist in the body size measures of donkeys with females having heavier body weight (120.7kg) and larger heart girth (106.2cm). Zoometric phenotypic differentiations exist among the observed strains of donkeys in the Northwestern Nigeria. Further studies should be carried out on molecular studies for determination of diversity that exists among young donkey strains. Key words : Donkey, morphometric, characterization, traits, young and body measurement
Predicting phase inversion in agitated dispersions with machine learning algorithms

Abstract In agitated systems, the phase inversion (PI) phenomenon – the mechanism by which a dispersed phase becomes the continuous one – has been studied extensively in an empirical manner, and few models have been put forward through the years. The underlying physics are still to be fully understood. In this work, the experimental evidence published in literature is used to train machine learning models that may infer the inherent rules that lead to a given dispersion type (O/W or W/O), as well as predict the value of the dispersed phase volume fraction at the edge of the inversion point. Decision trees, bagged decision trees, support-vector machines, and multiple perceptrons are implemented and compared. Results show that it is possible to infer an ensemble of physical rules that explain why a given dispersion is O/W or W/O, where a strong “turbulence constraint” is identified. The intuitive rule that PI occurs at 50% dispersed phase almost never holds. Moreover, neural networks have shown a better performance at predicting the PI point than the other algorithms tested. Finally, a theoretical study is performed in an effort to produce a phase inversion map with the relevant operating variables. This study showed a strong nonlinear effect of the impeller-to-vessel size ratio and an asymmetrical behavior of the interfacial tension on the phase inversion points.
‘It’s a little complicated for me’: faculty social location and experiences of pedagogical partnership

ABSTRACT Pedagogical partnership is increasingly recognized as a practice with the potential to contribute to more just and equitable post-secondary education institutions. Previous studies have reported on the ways specific institutional programs attend to issues of equity, particularly considering if and how they involve students from marginalized groups. Similarly, others have argued for the scaling-up of partnership initiatives as a way to ensure greater inclusion and diversity amongst the staff and students who participate. Whilst the literature on this dimension of pedagogical partnerships grows, further attention to the ways in which faculty social locations influence and intersect with perceptions and experiences of partnerships is merited. Our study contributes to the literature exploring this issue. Our findings show a complex range of ways in which participants understand their social locations and the ways these influence their experiences of partnership, demonstrating the need for sophisticated conceptualizations of power and risk that attend to individuals’ positions within and outside of partnership spaces.
Developing a Tool for Music Theory Placement: An Emphasis on Implicitly Learned Abilities

Addressing the disparate levels of aural skills that students may have acquired through their daily musical experiences prior to formal schooling can be difficult. Placement tests within the Western classical musical tradition typically involve structural decoding and formal concepts of elementary music theory. In this manuscript, we discuss the development of a music placement evaluation for beginner students (N = 539) involved in the ear training and music theory classes of a university outreach program. The measure consisted of 12 aural skills tasks inspired by the principles of Serafine’s music development model that assessed knowledge acquired from daily music experiences without stressing the formal nomenclature of music theory. Stimuli were comprised of temporal (idiomatic construction and textural abstraction) and nontemporal processes (melodic closure, harmonic closure, transformation, and hierarchical levels) according to Serafine’s model. The comprehension of tempo, register, and melodic contours also was evaluated. The use of real music excerpts, some of which likely belonged to students’ own repertoires, may have helped the students to concentrate on the cognitive/aural tasks. The implications of this evaluation for music education are discussed.
Laboratory Evaluation of Rubberized Binder and Mix Containing a Low Content of Devulcanized Rubber Modifier

This paper evaluates the mechanical properties of rubberized asphalt binder and mix containing 5% and 10% rubber. This rubberized asphalt binder was manufactured in a field-blend process using devulcanized rubber particles, finer than 250 microns, derived from waste tires. Comparison between the rubberized binder and the base binder test results showed that the rubberized binders had higher complex moduli and lower phase angles at the grade temperature. They also had a higher percentage recovery in the multiple stress creep recovery test, and a significant creep stiffness reduction in the bending beam rheometer test. Given the low rubber content and small rubber particle size, this rubberized binder can be used in dense-graded mixes, whereas asphalt rubber binders, with larger rubber particles and higher rubber content (>15%), must be used in gap- or open-graded mixes. This rubberized dense-graded mix met the volumetric design criteria at the same binder content as the control mix prepared with the unmodified base binder. Laboratory tests on the mix included repeated load triaxial, Hamburg wheel track, flexural dynamic modulus, and beam fatigue. The rubberized mixes had slightly lower stiffnesses than the control mix, but better resistance to moisture damage, rutting, and fatigue cracking. A strong linear correlation was found between the carbonyl area index and the rheological properties of the long-term aged binder and fatigue life of the mixes. Based on these findings, these rubber-modified binders can be considered for use in dense-graded mixes to improve overall performance and make use of waste tires.
Predictors of clinical outcomes in space-occupying cerebellar infarction undergoing suboccipital decompressive craniectomy

Introduction Despite current clinical guidelines recommending suboccipital decompressive craniectomy (SDC) in cerebellar infarction when patients present with neurological deterioration, the precise definition of neurological deterioration remains unclear and accurate timing of SDC can be challenging. The current study aimed at characterizing whether clinical outcomes can be predicted by the GCS score immediately prior to SDC and whether higher GCS scores are associated with better clinical outcomes. Methods In a single-center, retrospective analysis of 51 patients treated with SDC for space-occupying cerebellar infarction, clinical and imaging data were evaluated at the time points of symptom onset, hospital admission, and preoperatively. Clinical outcomes were measured by the mRS. Preoperative GCS scores were stratified into three groups (GCS, 3–8, 9–11, and 12–15). Univariate and multivariate Cox regression analyses were performed using clinical and radiological parameters as predictors of clinical outcomes. Results In cox regression analysis GCS scores of 12–15 at surgery were significant predictors of positive clinical outcomes (mRS, 1–2). For GCS scores of 3–8 and 9–11, no significant increase in proportional hazard ratios was observed. Negative clinical outcomes (mRS, 3–6) were associated with infarct volume above 6.0 cm3, tonsillar herniation, brainstem compression, and a preoperative GCS score of 3–8 [HR, 2.386 (CI, 1.160–4.906); p = 0.018]. Conclusion Our preliminary findings suggest that SDC should be considered in patients with infarct volumes above 6.0 cm3 and with GCS between 12 and 15, as these patients may show better long-term outcomes than those in whom surgery is delayed until a GCS score below 11.
Investigation of Ammonium Saturation and Desorption Conditions of Clinoptilolite Type Zeolite in Aquarium Conditions

In this research, it was aimed to determine the adsorption, saturation reaching and desorption effects of ammonium, which is one of the parameters that should be kept in control for aquarium life, by clinoptilolite type zeolite which is a natural filtration material. In the aquarium water, Z1: 20 mg/l TAN and Z2: 40 mg/l TAN concentrations were determined to have adsorption up to Z1: 10 mg/l TAN and Z2: 24 mg/l TAN concentration at the end of the experiment period. After this phase, where zeolites had reached saturation, desorption system was created, and 2 groups were formed with 5-liter research aquariums and 3 repetitions. During the five-days test, water parameters were determined daily and at the same time of day (10.00). At the beginning of the experiment, mean values of 0.4 ± 0.00 mg / l TAN in Z1 and Z2 groups were determined at the end of the experiment as 1.55 ± 0.176 mg/l (15.5%) and 2.153 ± 0.27 mg/l (13.5%) TAN in Z1 and Z2 groups, respectively. When the data obtained in this study were evaluated, zeolite was determined to make desorption periodically in proportion with the amount of retained ammonium, when it reached the saturation. In intensive aquaculture systems or aquarium conditions, recondition of zeolite for necessary periods is recommended to be performed by considering these data.
Fetal Cerebrospinal Fluid Promotes Proliferation and Neural Differentiation of Stromal Mesenchymal Stem Cells Derived from Bone Marrow

Embryonic cerebrospinal fluid (E-CSF) contains many neurotrophic and growth factors, acts as a growth medium for cortical progenitors, and can modulate proliferation and differentiation of neural stem cells. Mesenchymal stem cells (MSCs) are multipotential stem cells that can differentiate into several types of mesenchymal cells as well as nonmesenchymal cells, such as neural cells. In the present study, the effect of E-CSF on proliferation and neural differentiation of bone marrow mesenchymal stem cells (BM-MSCs) was investigated to test whether E-CSF is capable of driving these cells down the neuronal line. To verify the multipotential characteristics of BM-MSCs, the cells were analyzed for their osteogenic and adipogenic potential. Expression of the neural markers, MAP-2 and βIII tubulin, was determined by Immunocytochemistry. BM-MSCs differentiate into neuronal cell types when exposed to b-FGF. BMMSCs cells cultured in medium supplemented with CSF showed significantly elevated proliferation relative to control cells in media alone. E-CSF (E17-E19) supports viability and stimulates proliferation and, significantly, neurogenic differentiation of BM-MSCs. The data presented support an important role for CSF components, specifically neurotrophic factors, in stem cell survival, proliferation and neuronal differentiation. It is crucial to understand this control by CSF to ensure success in neural stem cell therapies.
Brain iron content in cerebral amyloid angiopathy using quantitative susceptibility mapping

Introduction Cerebral amyloid angiopathy (CAA) is a small vessel disease that causes covert and symptomatic brain hemorrhaging. We hypothesized that persons with CAA would have increased brain iron content detectable by quantitative susceptibility mapping (QSM) on magnetic resonance imaging (MRI), and that higher iron content would be associated with worse cognition. Methods Participants with CAA (n = 21), mild Alzheimer’s disease with dementia (AD-dementia; n = 14), and normal controls (NC; n = 83) underwent 3T MRI. Post-processing QSM techniques were applied to obtain susceptibility values for regions of the frontal and occipital lobe, thalamus, caudate, putamen, pallidum, and hippocampus. Linear regression was used to examine differences between groups, and associations with global cognition, controlling for multiple comparisons using the false discovery rate method. Results No differences were found between regions of interest in CAA compared to NC. In AD, the calcarine sulcus had greater iron than NC (β = 0.99 [95% CI: 0.44, 1.53], q < 0.01). However, calcarine sulcus iron content was not associated with global cognition, measured by the Montreal Cognitive Assessment (p > 0.05 for all participants, NC, CAA, and AD). Discussion After correcting for multiple comparisons, brain iron content, measured via QSM, was not elevated in CAA compared to NC in this exploratory study.
Analysis of Reliability and Generalizability of One Instrument for Assessing Visual Attention Span: MenPas Mondrian Color

Attention is one skill related to processes such as memory or learning, so, its evaluation is very interesting in areas such as clinical, educational or sports. The aim of this paper is to analyze the reliability and generalizability of one online computerized tool, named MenPas Mondrian Color, that has been developed for the visual attention span assessing and training. In addition, it has been intended to determine any existing relationships among the different parameters of the tasks performed in order to check the coherence of the results obtained in the executions. In 11,540 analyzed executions of 1064 users from different American, African and European countries, 6543 of them were performed by women (56.70%) and 4997 by men (43.30%). The age distribution showed that all of the participants were aged 18–55 years, with an average of 25.50 ± 8.91 years. The analyzed tool is called MenPas Mondrian Color which is included in the MENPAS 1.0 platform. Reliability (Cronbach’s Alpha), variance components and generalizability analyses were carried out in order to analyze the quality of the data gathered by this tool. The obtained results indicated optimal scores in the analyses performed, suggesting that the data gathered are reliable, precise and statistically generalizable to a larger population. Likewise, correlation analyses indicated that the difficulty of the task is related to the effectiveness in its executions, indicating that this is a highly sensitive tool.
Residents’ Attitudes Towards Peer-to-Peer Accommodations in Japan: Exploring Hidden Influences from Intergroup Biases

ABSTRACT Peer-to-peer (P2P) accommodations have often received severe criticism from residents. Although studies have reported that residents often determine their attitude towards tourism by comparing its perceived positive and negative impacts, how these perceived impacts are formed has not been well investigated. Using Kyoto – a popular tourism destination in Japan – as a study context, this research aimed to address this gap by exploring how attitudes are subject to hidden influences, such as xenophobia and social tolerance. In line with past studies, this study found that there were significant relationships between perceived positive and negative impacts and support for P2P accommodations. Findings revealed that perceived positive impacts are significantly influenced by social tolerance and trust in local government, while perceived negative impacts are significantly influence by xenophobia. The results suggested that bias against foreigners has an impact on perceptions of the various effects of P2P accommodations.
Correlation of Resilience and Spatial Ability In Distance Material

Spatial material was material that was very useful in everyday life. Students often had difficulty in imagining spatial objects. Students would had no difficulty in imagining spatial objects if they had good spatial ability. Resilience was needed to learn spatial ability. The purpose of this study was to determine whether there was a relationship between resilience and spatial ability and how many the coefficient correlation was, and to find out dominant indicators of resilience so that there was a relationship between resilience and spatial ability in students in the upper, middle, and lower groups. This research was a qualitative-quantitative mixed research. The research instrument was used a test of spatial ability in distance and resilience scale material. The data analysis technique was used the correlation test and data triangulation method. The conclusions of this study were (1) there was a relationship between resilience and spatial ability of 56%, (2) indicators of resilience 'willing to socialize, easy to provide assistance, discuss with peers, and adapt to the environment' were dominant in the upper, middle, and lower groups , resilience indicator ‘use failure experiences to build self-motivation’ was dominant in the upper group, resilience indicators ‘show curiosity, reflect, examine, utilize a variety of dominant sources in the upper group, indicators of resilience perseverance, confidence, work hard, not easy to give up facing problems, failures and uncertainties' were dominant in the lower classes.
Genetic divergence in round tomato germplasm: optimization and hierarchical methods

The characterization of germplasm banks is essential for successful breeding programs. There is no consensus on which multivariate analysis method is the most appropriate to characterize a round tomato germplasm bank. This study aimed to characterize the genetic divergence between tomato accessions to assess whether there is agreement between the hierarchical and optimization methods and to recommend promising combinations for obtaining hybrids. The experiment was conducted at the Experimental Vegetable Station of the Federal University of Uberlândia in 2016. The experimental design was a randomized block design with 32 treatments, including 31 tomato genotypes and a commercial control (cv. Rio Grande), with four replicates. The results showed genetic variability between genotypes. The UPGMA hierarchical method allowed greater discrimination between genotypes. Crossing the genotypes UFU-85#9 salada-D, UFU-91#5 salada-D, and cv. Rio Grande will lead to hybrids with high chlorophyll content, high yield, high fruit mass, and fruits with high soluble solids.
What Are the Critical Success Factors for Agile Analytics Projects?

ABSTRACT To get value from BI (Business Intelligence) and Big Data initiatives, organizations need to develop the capability to successfully execute their analytics projects. Via updating Chow and Cao’s list of 12 success factors for agile projects, 43 attributes of these potential critical success factors (CSFs) were identified. Data from four case studies of analytics projects suggest that the critical success factors for analytics projects may be Strong Customer Involvement and a Methodical Project Definition Process.