Miracle-dz/UniFAR-FTUs huggingface dataset:
Yield stability analysis in advanced durum wheat genotypes by using AMMI and GGE biplot models under diverse environment

A investigation was carried out to ascertain the GEI, the yield stability and adaptability of 17 advanced durum wheat genotypes (G) in four environments over two crop years (2011–12 and 2012–13) under rainfed and supplementary irrigation (IRR) conditions. Combined analysis of variance showed that environmental factor and GEI explained 70% and 10.71% of total sum squares, respectively. The AMMI and GGE biplot model were used to study the nature of GEI on the grain yield. First and second component of AMMI model totally explained 90.73% of GEI variations. Results of GGEbiplot model similar to the results of AMMI model showed that the G12 with the environment of IRR2, G2 with the environment of RA2 and G17 and G9 with the environment of RA1 and IRR1, respectively showed a special adaptability. G8 and G11 could be recommended for all environments. Considering both graphical analysis models of AMMI and GGEbiplot could be recommended. The ideal environment, according to AMMI model, was RA2, while GGEbiplot model represented IRR2 as ideal environment. The results indicated that AMMI and GGEbiplot are facilitated visual comparison and informative methods to detect genotypes stability and in the preferential genotypes recommendations.
Enablers and Barriers to Hand Hygiene among Health Workers at Mbarara Regional Referral Hospital

Purpose: Hospital acquired infections (HAIs) are a public health problem that is more prevalent in developing countries than in developed countries. Hand hygiene is a prime preventive measure for HAIs. This study assessed barriers and enablers to hand hygiene among health care workers (HCWs) in a developing country at Mbarara Regional Referral Hospital. Methodology: A descriptive cross-sectional design was employed. HCWs providing care to patients admitted on the selected wards were recruited. Data were collected by trained RAs from participants who fulfilled the eligibility criteria using a semi-structured questionnaire. Findings: The majority (73.4%) of the participants reported lack of hand hygiene protocols on the ward. The barriers and enablers were elicited using a Likert scale. The enablers to hand hygiene were water being visibly clean (M = 3.5, SD = 0.7) and availability of running water on the ward (M = 3.4, SD = 0.8). Barriers to hand hygiene identified were: lack of audits on hand hygiene compliance on the wards (M = 1.7, SD = 0.9), posters illustrating hand hygiene techniques are not displayed on the wards (M = 2.1, SD = 1.0) and alcohol hand rubs are not routinely distributed (M = 2.1, SD = 0.9). Unique Contribution to Theory, Practice and Policy: Donabedian model is a validated model used in quality improvement in health care. There is need to include training for health care workers in hand hygiene, ensure availability of hand hygiene protocols, and include mechanisms for monitoring to improve hand hygiene.
Assessment of SARS-CoV-2 (COVID-19) Clinical Mouthwash Protocol and Prevalence of the Oral Pathogen Scardovia wiggsiae: A Pilot Study of Antibacterial Effects

One protocol in healthcare facilities and dental offices due to the COVID-19 pandemic for reducing the amount of detectable oral SARS-CoV-2 has been gargling with mouthwash for 60 s. This protocol lasts longer than the daily routine for most patients and may have unexpected benefits in reducing oral microbes as a result. This project evaluated the prevalence of the newly identified oral pathogen Scardovia wiggsiae before and after this procedure to determine any measurable effects. Using an approved protocol, n = 36 pre-mouthwash patient samples, n = 36 matched post-mouthwash samples, and n = 36 matched recall samples were identified (total sample number n = 108). DNA was isolated from each sample (pre-, post-mouthwash, and recall). Screening using qPCR and validated primers revealed n = 10/36 or 27.8% tested positive for Scardovia among the pre-mouthwash (Sample A) isolates with n = 3/36 or 8.3% testing positive among the post-mouthwash (Sample B) isolates. Screening of the recall (Sample C) samples has revealed n = 10/36, or 27.8% once again tested positive for Scardovia, demonstrating that this pathogen was found among a significant proportion of pediatric patient samples. Moreover, the COVID-19-related procedure of requiring sustained mouth washing prior to clinical treatment appears to reduce the levels of detectable Scardovia, at least initially. However, this study found no long-term effects using this isolated protocol.
Fluid Dynamics and Inertial Focusing in Spiral Microchannels for Cell Sorting

Effective cell sorting is critical to sample preparation, especially in the fields of therapeutics and diagnostics. The advent of lab-on-chip systems has increased the demand for integrable, low cost, highly efficient and continuous cell sorters. Inertial microfluidic devices, especially spiral sorting channels, have the potential to address all of these requirements. These devices are usually designed on the assumption that there are two counter rotating vortices which balance the inertial lift forces to facilitate sorting. However, this assumption does not fully explain the shift in focusing of the cells or particles on increase in the flow rate. In fact, the fluid flow dynamics in spiral microchannels for high Reynolds number and high Dean number is not fully understood. In this work, for the first time we show experimentally spatial development of multiple Dean vortices across the microchannel cross-section with change in aspect ratio and Dean number. These experiments lead to an explanation of the uncharacteristic focusing behavior of cells and particles in spiral microchannels at high Dean number. Based on this work, spiral devices were designed for specific sorting applications including plasma extraction, blood cell sorting, and isolation of sub-populations of cancer stem cells. The modified and integrable inertial spiral devices offer >90% sorting efficiency in the case of blood cell sorting, along with high throughput of >10 cells/min. Additionally, this work conclusively shows that effects of fluidic shear on cell viability, functionality and stem-ness are negligible when using these devices for sorting cancer stem cells.
A Clinicopathological Study with Risk-Stratified Staging of Pediatric Hepatoblastoma: A 5-Year Experience from a Tertiary Cancer Center

Background & Objective: Hepatoblastoma encompasses 1% of pediatric malignancies and is the most common liver malignancy in children. Ninety percent of cases are younger than 5 years of age. Clinical and pathological risk stratification forms a crucial role in determining the treatment strategy. This study aimed to assess the clinicopathological profile of hepatoblastoma with risk stratification and follow-up in children. Methods: A retrospective evaluation was performed on all pediatric patients diagnosed as hepatoblastoma between 2016 and 2020 in our institution. Clinical, radiological, biochemical, pathological, and treatment data were analyzed. Cases were stratified based on the SIOPEL protocol and compared with the outcome. Results: The median age of all children was 1 year, the male-to-female ratio was 2.3:1, and elevated α-fetoprotein (AFP) was observed in all cases. SIOPEL risk stratification showed that 50% of children were at high risk. The histopathological types were fetal (30%), embryonal (20%), and macrotrabecular (5%) patterns under epithelial type and mixed epithelial and mesenchymal type (45%) with 1 case showing teratoid features. During the follow-up period, 6 out of the 7 children who died, belonged to the high-risk SIOPEL category, and 5 presented a mixed epithelial and mesenchymal pattern. Conclusion: Our study found a significant correlation between clinicopathological data, histopathological patterns, and outcomes. Accordingly, histopathological patterns could be considered one of the criteria for risk stratification. Histopathological risk stratification indicators (such as SIOPEL and PRETEXT) have strong prognostic and predictive outcomes; hence, our study emphasizes such parameters to aid oncologists
Hyporheic Oxygen Dynamics in the East River, Colorado: Insights From an In‐Situ, High Frequency Time Series During Two Distinct Flow Seasons

Dissolved oxygen (DO) is critical for aquatic ecosystems, however, few studies have focused on the long‐term DO dynamics in hyporheic zones, which are a function of both transport (hydrologic exchange between river and hyporheic zone) and uptake by biogeochemical reactions or respiration. We explore the dynamics of temperature and DO at 10, 20, and 35 cm depth beneath the East River, Colorado, from July–October 2017 (relatively normal water year) and April to October 2018 (comparatively low flow year), enabled by distinctive, in‐situ, high frequency (Δt = 5 min) sensors that provided continuous time‐series from the undisturbed study site over 14 months. We expect that hyporheic DO, which has a regular daily fluctuation pattern, is supplied by the surface water (at all times we estimate downwelling) and that diurnal hyporheic DO temporal patterns should be aligned with diurnal hyporheic temperature patterns. However, this was not found to be the case. Hyporheic DO becomes depleted briefly at 20 and 35 cm depths in 2017, and at all three hyporheic depths for extended periods in 2018. Whereas diurnal temperature fluctuations have consistent timings of maxima and minima, hyporheic DO rarely has as regular a pattern, and daily ranges are inconsistent. Rainfall events caused some of these changes to diurnal hyporheic DO patterns without repeatable effects. Antecedent snowpack conditions influence streamflow dynamics and therefore hyporheic DO dynamics in this alpine river. These results also point to the strong and variable influence of hyporheic microbial communities regulating hyporheic DO.
Practical Considerations for Computing Dimensional Spectra from Gridded Data

AbstractSpectra are often computed from gridded data to determine the horizontal-scale dependence of quantities such as kinetic energy, vertical velocity, or perturbation potential temperature. This paper discusses several important considerations for the practical computation of such spectra. To ensure that the sum of the spectral energy densities in wavenumber space matches the sum of the energies in the physical domain (the discrete Parseval relation), the constant coefficient multiplying the spectral energy density must properly account for the way the discrete Fourier transform pair is normalized. The normalization factor appropriate of many older FORTRAN-based fast Fourier transforms (FFTs) differs from that in Matlab and Python’s numpy.fft, and as a consequence, the correct scaling factor for the kinetic energy (KE) spectral density differs between one-dimensional FFTs computed using these two approaches by a factor equal to the square of the number of physical grid points. A common algorithm used .
Targeted transcutaneous spinal cord stimulation promotes persistent recovery of upper limb strength and tactile sensation in spinal cord injury: a pilot study

Long-term recovery of limb function is a significant unmet need in people with paralysis. Neuromodulation of the spinal cord through epidural stimulation, when paired with intense activity-based training, has shown promising results toward restoring volitional limb control in people with spinal cord injury. Non-invasive neuromodulation of the cervical spinal cord using transcutaneous spinal cord stimulation (tSCS) has shown similar improvements in upper-limb motor control rehabilitation. However, the motor and sensory rehabilitative effects of activating specific cervical spinal segments using tSCS have largely remained unexplored. We show in two individuals with motor-complete SCI that targeted stimulation of the cervical spinal cord resulted in up to a 1,136% increase in exerted force, with weekly activity-based training. Furthermore, this is the first study to document up to a 2-point improvement in clinical assessment of tactile sensation in SCI after receiving tSCS. Lastly, participant gains persisted after a one-month period void of stimulation, suggesting that targeted tSCS may lead to persistent recovery of motor and sensory function.
Response of Washington Navel Orange Trees to Foliar Spray with Some Bio and Mineral Compounds

The present study was conducted on fruitful Washington navel orange trees grown at a private orchard during 2009 & 2010 seasons to evaluate the influence of some bio and mineral compounds i.e., Nofaterin and Biomagic foliar spray in different combinations with N, P, K and fertilizers on growth, productivity, fruit quality and nutritional status of Washington navel orange trees. Each of the tested nine treatments improved all the evaluated parameters dealing with: 1- growth parameters (No. of shoots / one meter limb, shoot length and thickness, No. of leaves per shoot and leaf surface area) 2- fruiting measurements ( fruit set and fruit retention percentage and yield/tree), 3- Fruit physical properties (fruit weight , dimensions , shape index , juice volume and peel thickness ) or chemical properties (juice TSS %, acidity %, TSS /acid ratio , total sugars and Vitamin C content ), as well as leaf nutritional status (N, P, K, Ca, Mg, Fe, Mn and Zn). However, the beneficial effect varied greatly from one treatment to another. Anyhow, Biomagic + (NH 4 ) 2 SO 4 + K 2 SO 4 at 1% + P 2 O 5 at 100 ppm treatment was statistically the superior, followed descending by Nofaterin + (NH 4 ) 2 SO 4 at 1% + K 2 SO 4 at 1% + P 2 O 5 at 100 ppm treatment. However, the control (water spray) treatment had the least values for all tested vegetative and fruiting parameters.
Validating Prediction Tools for Autoimmune Encephalitis in Adult Taiwanese Patients: A Retrospective Study

Autoimmune encephalitis (AE) is a neurological emergency. We aimed to analyze the application and effectiveness of the currently available prediction tools for AE patients in Taiwan. We retrospectively collected 27 AE patients between January 2008 and December 2019. Antibody Prevalence in Epilepsy (APE) score, Response to Immunotherapy in Epilepsy (RITE) score, and anti-NMDAR Encephalitis One Year Functional Status (NEOS) score were applied to validate their usability. Based on the defined cutoff values, the sensitivity and specificity of each score were calculated. A receiver operating characteristic (ROC) curve and the area under the curve (AUC) were generated for each scoring system. The AUC value of APE was 0.571. The AUC value of RITE was 0.550. The AUC values for the NEOS score at discharge and long-term follow-up were 0.645 and 0.796, respectively. The performance of APE and RITE scores was suboptimal in the Taiwanese cohort, probably due to the limitations of the small sample size and single ethnicity. On the other hand, the NEOS score performed better on long-term follow-up than at discharge.
Motivational Belief, Cognitive Strategy Use & Self-regulation Alliance Pertaining Students Learning Achievement

This study investigated strategies to improve students’ use of self -regulated learning (SRL) strategies in their learning activities. SRL is defined as a learner's deliberate efforts to control and steer complicated learning processes, and it is made up of three basic components: cognitive strategy utilisation, metacognitive processing, and motivating beliefs. These three components are articulated in terms of note-taking strategies (cognitive component), self-monitoring prompts (metacognitive component), and feedback on self-efficacy (motivation component). The study focused on a quantitative survey where a set of questionnaires was distributed to 237 students who were selected from the Faculty of Administrative Science and Policy Studies. The findings show that there is a relationship between motivational beliefs and self-regulated learning
Integrating Task-Based Learning and ICT in Reading and Writing Classes in Hybrid Setting

Several ICT tools are chosen as media in reading and writing courses, such as socrative for practicing and testing vocabulary, google form for practicing and evaluating reading ability, and writeabout for practicing students' writing skills based on given topics. The study analyze classroom practices of a reading and writing course in hybrid setting which integrated Task-Based Learning (TBL) and Information and Communication Technologies (ICT). It is a case study with quantitative approach. This project was done in 6 classes of reading and writing course consisted of 159 students in total. The data was gathered through classroom observation, pre-, and post-test scores analysis, and questionnaire analysis about students' feedback. The pre-and post-test scores were analyzed using descriptive statistical analysis, paired sample t-test, and changing level analysis.The findings indicated that teachers integrated TBL and various ICT tools to accomplish the course description and objectives. The result of those three data analyses described significant improvement in students' learning outcomes. The course received positive responses from the students with a 4.02 out of 5 (good level). The integration of TBL and ICT in a reading and writing course is considerable in enhancing students' achievement and enjoyment in hybrid setting. This study provided benefit from insight into the knowledge and practice for reading and writing lecturers to integrate TBL and ICT in their instruction particularly in hybrid context.
t-Balancing Numbers

A positive integer n is called a co-balancing number [8] if 1 2 ⋯. 1 2 . for some positive integer r called the co-balancer and balancing number [1] if 1 2 ⋯. 1 1 2 . where r is called balancer. Since the first paper published on balancing number by A. Behera and G. K. Panda[1], several researchers have contributed a lot of interesting results on these two numbers. Panda [6] and Liptai [2] have generalized the results to different sequences, particularly the sequence of the type, 1 2 ⋯ . Here we have tried to generalize it in a innovative way. 2000 K. K. Dash, R. S. Ota and S. Dash Mathematics Subject Classification: 11D25, 11D41
Consistent Prony’s Approximation for FDTD Modeling of Dispersive Media Characterized by Completely Monotone Susceptibilities

A finite-difference time-domain (FDTD) scheme for simulating wave propagation inside Cole–Cole, Davidson–Cole, Havriliak–Negami, and Raicu dispersive media is proposed. The polarization relations of these media are fractional integro-differential equations and their FDTD modeling exhibits significant difficulties. However, a common property of these media is the fact that their time-domain susceptibility functions are completely monotone. By exploiting this significant property, the approximation of the susceptibility by means of sums of decaying exponentials is proposed. In particular, the approximants are derived by Prony’s method. In contrast to previously reported studies, which also adopt Prony’s method, the required consistency of the derived exponential terms is considered. Actually, it is shown that the parameters of the Prony approximants should fulfill specific restrictions, which are equivalent to approximating the media by sums of Debye terms only. The proposed FDTD scheme is based on discretizing the convolutional polarization relation by use of recurrence formulas, while the singularity of the original susceptibilities at the time origin is appropriately circumvented. Comparisons between analytical and FDTD results for the reflection and transmission coefficients as well as the transfer functions inside the dispersive media illustrate the efficiency of the proposed scheme, over a wideband frequency range.
Volatility of Tornadogenesis: An Ensemble of Simulated Nontornadic and Tornadic Supercells in VORTEX2 Environments

AbstractDespite an increased understanding of the environments that favor tornado formation, a high false-alarm rate for tornado warnings still exists, suggesting that tornado formation could be a volatile process that is largely internal to each storm. To assess this, an ensemble of 30 supercell simulations was constructed based on small variations to the nontornadic and tornadic environmental profiles composited from the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2). All simulations produce distinct supercells despite occurring in similar environments. Both the tornadic and nontornadic ensemble members possess ample subtornadic surface vertical vorticity; the determinative factor is whether this vorticity can be converged and stretched by the low-level updraft. Each of the 15 members in the tornadic VORTEX2 ensemble produces a long-track, intense tornado. Although there are notable differences in the precipitation and near-surface buoyancy fields, each storm features s.
A hypoplastic macroelement formulation for single batter piles in sand

Batter piles are widely used in geotechnical engineering when substantial lateral resistance is needed or to avoid the interference with existing underground constructions. Nevertheless, there is a lack of fast numerical tools for nonlinear soil‐structure interactions problems for this type of foundation. A novel hypoplastic macroelement is proposed, able to reproduce the nonlinear response of a single batter pile in sand under monotonic and cyclic static loadings. The behavior of batter piles (15°, 30°, and 45°) is first numerically investigated using 3D finite element modeling and compared with the behavior of vertical piles. It is shown that their response mainly depends on the pile inclination and the loading direction. Then, starting from the macroelement for single vertical piles in sand by Li et al (Acta Geotechnica, 11(2):373‐390, 2016), an extension is proposed to take into account the pile inclination introducing simple analytical equations in the expression describing the failure surface. 3D finite element numerical models are adopted to validate the macroelement that is proven able to reproduce the nonlinear behavior in terms of global quantities (forces‐displacements) and to significantly reduce the necessary computational time.
Gender Specific Study of Students' Spatial Inference in Solving Geometry Problem

Pemikiran spasial sangat penting untuk akuisisi dan konstruksi. Pemikiran spasial dapat membantu siswa memahami konsep geometris. Siswa mulai memahami konsep geometri pada tahap prilaku. Pemikiran spasial siswa pada tahap perilaku konkret tidak sedikit mampu melakukan eksplorasi. Penelitian ini mengkaji kemampuan siswa menggunakan penalaran spasial untuk menyelesaikan masalah geometri berbasis gender. Jenis penelitian ini adalah deskriptif kualitatif. Melalui lembar kerja, siswa mampu melakukan penalaran spasial. Selain lembar kerja, pengumpulan data pendukung diperoleh melalui wawancara mendalam. Tes dan wawancara digunakan untuk mengumpulkan data. Sampel yang menjadi target pada penelitian ini adalah siswa sekolah dasar kelas lima, responden pria dan wanita. Hasil penelitian menunjukkan bahwa siswa laki-laki memiliki keunggulan penalaran dibandingkan siswa perempuan, khususnya dalam visualisasi spasial.