Miracle-dz/UniFAR-FTUs huggingface dataset:
Pastoral Community Malaria Prevention Practice and Associated Factors Among Households in Three Districts of the Borena Zone, Southern Ethiopia

Background Malaria infection remains one of the major global and national public health threats, affecting millions of people yearly by causing substantial morbidity and mortality. In developing countries, higher proportions of poor malaria prevention and control measure both regionally and nationally, particularly in pastoral community areas of southern Ethiopia. Objective The study aimed to assess malaria preventive practices and associated factors among households of pastoral communities in Borena zone, Oromia regional state, Southern Ethiopia, 2022. Methodology A community-based cross-sectional study design was used from March first to 30, 2022, among 421 selected simple random sampling households in pastoral communities of the Borena zone. Data were collected through face-to-face interviews with a structured pretested questionnaire and visual observation for household malaria prevention practices. Then, the data were analyzed using SPSS version 25. Bivariate and multivariable logistic regression analyses were used to identify factors associated with malaria preventive practices. Finally, adjusted odd ratio (AOR) together with 95% confidence intervals was used, and a P value of less than 0.05 indicated an overall statistical association. Result The overall malaria prevention rate among pastoral community households was 31.6%(133) [95%; CI = 27.2–36.4]. The factors significantly associated with malaria prevention practice were malaria prevention knowledge [AOR = 1.6, 95% CI = 1.1–2.5] and the absence of plasmodium parasites among children [AOR = 4.3, 95% CI = 2.8–8.7]. However, households staying outdoors at night [AOR = 0.5, 95% CI = 0.3–1.0] were negatively associated with household malaria prevention. A total of 200 (47.5%) households had used insecticide-treated mosquito nets (ITN) and 5(1.2%) households had indoor residual sprays (IRS). Conclusion The study revealed lower malaria prevention practices among households of the pastoral community. The government and other concerned bodies should contribute to malaria prevention measures in pastoral remote areas. Health extension workers should have to create awareness in the communities to avoid incorrect use of the ITN.
The clock and the compass: sifting the important from the urgent

This paper takes a look at the research and theories that have driven organisational change within local authorities and educational psychology services. It considers the impact on our lives in terms of personal and professional development, time management and organisational learning. It moves on to explore a model of individual and organisational synergy based on universal principles which might better guide learning and decision making. The notion of a learning community is developed where both the individual’s needs for security and significance join with the community’s spirit of solidarity to spark vision for continual learning within the community and wider society.
The state of executive coaching research: What does the current literature tell us and what’s next for coaching research?

This paper asks the question; what do coaching psychologists bring to the developing market of executive coaching? While psychologists are trained in human behaviour, this paper argues that their real unique contribution may be their ability to undertake high quality research. The paper moves to summarise executive coaching research to date, and to suggest new areas for study, drawing from a review of counselling research history over the past five decades. Finally, the paper calls for coaching psychologists to address three key research strands, with the objectives of; evidencing the impact of coaching on performance, improving coaching practice and assisting in identifying the key components required for effective coaching training.
Wide-Range Portrayal of AP2/ERF Transcription Factor Family in Maize (Zea mays L.) Development and Stress Responses

The APETALA2/Ethylene-Responsive Transcriptional Factors containing conservative AP2/ERF domains constituted a plant-specific transcription factor (TF) superfamily, called AP2/ERF. The configuration of the AP2/ERF superfamily in maize has remained unresolved. In this study, we identified the 229 AP2/ERF genes in the latest (B73 RefGen_v5) maize reference genome. Phylogenetic classification of the ZmAP2/ERF family members categorized it into five clades, including 27 AP2 (APETALA2), 5 RAV (Related to ABI3/VP), 89 DREB (dehydration responsive element binding), 105 ERF (ethylene responsive factors), and a soloist. The duplication events of the paralogous genes occurred from 1.724–25.855 MYA, a key route to maize evolution. Structural analysis reveals that they have more introns and few exons. The results showed that 32 ZmAP2/ERFs regulate biotic stresses, and 24 ZmAP2/ERFs are involved in responses towards abiotic stresses. Additionally, the expression analysis showed that DREB family members are involved in plant sex determination. The real-time quantitative expression profiling of ZmAP2/ERFs in the leaves of the maize inbred line B73 under ABA, JA, salt, drought, heat, and wounding stress revealed their specific expression patterns. Conclusively, this study unveiled the evolutionary pathway of ZmAP2/ERFs and its essential role in stress and developmental processes. The generated information will be useful for stress resilience maize breeding programs.
AN OBJECT-BASED CLASSIFICATION FRAMEWORK FOR ALS POINT CLOUD IN URBAN AREAS

Abstract. This article presents an automated and effective framework for segmentation and classification of airborne laser scanning (ALS) point clouds obtained from LiDAR-UAV sensors in urban areas. Segmentation and classification are among the main processes of the point cloud. They are used to transform 3D point coordinates into a semantic representation. The proposed framework has three main parts, including the development of a supervoxel data structure, point cloud segmentation based on local graphs, and using three methods for object-based classification. The results of the point cloud segmentation with an average segmentation error of 0.15 show that the supervoxel structure with an optimal parameter for the number of neighbors can reduce the computational cost and the segmentation error. Moreover, weighted local graphs that connect neighboring supervoxels and examine their similarities play a significant role in improving and optimizing the segmentation process. Finally, three classification methods including Random Forest, Gradient Boosted Trees, and Bagging Decision Trees were evaluated. As a result, the extracted segments were classified with an average precision of higher than 83%.
CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany

The massive installation of renewable energy sources together with energy storage in the power grid can lead to fluctuating energy consumption when there is a bi-directional power flow due to the surplus of electricity generation. To ensure the security and reliability of the power grid, high-quality bi-directional power flow prediction is required. However, predicting bi-directional power flow remains a challenge due to the ever-changing characteristics of power flow and the influence of weather on renewable power generation. To overcome these challenges, we present two of the most popular hybrid deep learning (HDL) models based on a combination of a convolutional neural network (CNN) and long-term memory (LSTM) to predict the power flow in the investigated network cluster. In our approach, the models CNN-LSTM and LSTM-CNN were trained with two different datasets in terms of size and included parameters. The aim was to see whether the size of the dataset and the additional weather data can affect the performance of the proposed model to predict power flow. The result shows that both proposed models can achieve a small error under certain conditions. While the size and parameters of the dataset can affect the training time and accuracy of the HDL model.
ON HEAT CONDUCTION AND WAVE PROPAGATION IN RIGID SOLIDS.

This paper is concerned with conduction of heat and the related problem of propagation of thermal waves in stationary rigid solids. Special attention is given to rate‐dependent response and the ensuing conditions of propagation in the conducting medium. The case in which the response of the medium is characterized by functions that are nonlinear in temperature and temperature gradient but are linear in the rate of temperature is studied in detail. The conclusions reached are also discussed in the context of the infinitesimal theory.
Meta-Analysis of Migraine Headache Treatments: Combining Information from Heterogeneous Designs

Abstract Migraine headache is a common condition in the United States for which a wide range of drug and nondrug treatments are available. There is wide disagreement about which treatments are most effective; meta-analysis of existing clinical trials can help to bring existing evidence to bear on this question. Conducting a meta-analysis is a challenging statistical problem because of the absence of a uniform accepted definition of headache syndromes, the diversity of treatments, and the heterogeneous and incomplete nature of published information. The results of studies are summarized in various ways; most studies report continuous treatment effects for each treatment, but some report only differences in effectiveness for pairs of treatments, and others report only 2 × 2 contingency tables for dichotomized responses. In this article we present a hierarchical Bayesian grouped random-effects model for synthesizing evidence from several clinical trials comparing the effectiveness of commonly recommended pro.
Magnetic reconnection in the heliosphere: new insights from observations in the solar wind

Abstract Magnetic reconnection plays a central role in the interpretation of a wide variety of observed solar, space, astrophysical, and laboratory plasma phenomena. The relatively recent discovery that reconnection is common at thin current sheets in the solar wind opens up a new laboratory for studying this fundamental plasma process and its after-effects. Here we provide a brief overview of some of the new insights on reconnection derived from observations of reconnection exhaust jets in the solar wind.
Treatment of Symptomatic Focal Hepatic Hemangioma with Propranolol in Neonates: Is It Efficient?

Hepatic hemangiomas (HH) – classified into congenital hepatic hemangiomas (CHH) or infantile hepatic hemangiomas (IHH) – are benign vascular tumors that are mainly asymptomatic, but may cause clinical problems that require treatment. While focal, multifocal, and diffuse IHH are responsive to propranolol treatment, CHH is mainly focal and thought to be resistant to treatment with propranolol. The clinical and imaging distinctions between CHH and IHH in cases of focal lesions can be challenging, while histopathological distinction is mostly lacking in the clinical setting. We report 4 neonatal symptomatic cases of focal HH treated with propranolol, with partial or complete resolution of the tumor, and the positive hemodynamic effect of propranolol in one case. We believe that although clear differentiation cannot be achieved between CHH and IHH without histopathological examination in cases of focal HH in neonates, propranolol treatment should be attempted in symptomatic cases since its benefits outweigh the possible small risk of side effects of propranolol.
Aviation Applications for Satellite-Based Observations of Cloud Properties, Convection Initiation, In-Flight Icing, Turbulence, and Volcanic Ash

Abstract Advanced Satellite Aviation Weather Products (ASAP) was jointly initiated by the NASA Applied Sciences Program and the NASA Aviation Safety and Security Program in 2002. The initiative provides a valuable bridge for transitioning new and existing satellite information and products into Federal Aviation Administration (FAA) Aviation Weather Research Program (AWRP) efforts to increase the safety and efficiency of the airspace system. The ASAP project addresses hazards such as convective weather, turbulence (clear air and cloud induced), icing, and volcanic ash, and is particularly applicable in extending the monitoring of weather over data-sparse areas, such as the oceans and other observationally remote locations. ASAP research is conducted by scientists from NASA, the FAA AWRP's Product Development Teams (PDT), NOAA, and the academic research community. In this paper we provide a summary of activities since the inception of ASAP that emphasize the use of current-generation satellite technologies .
Dual-band polarization angle independent 90Â° polarization rotator using twisted electric-field-coupled resonators

A bilayered chiral metamaterial is proposed to realize a dual band polarization angle insensitive 90° polarization rotator. The unit cell of the chiral metamaterial is composed by twisted electric field coupled resonators in four-fold rotation symmetry. The simulation and measured results show that this device can work in dual band with an extremely low loss and polarization conversion ratio of more than 99%. The study of the current and electric fields distribution indicates that the cross-polarization transmission is due to both the electric coupling and the magnetic coupling.
The increasing relevance of immunobiology within a connected animal science curriculum

Abstract Modern technological agriculture emerged in the 20th century and has expanded into a global enterprise occupying approximately 38% of the Earth’s land area and accounting for over 40% of the world’s workforce. The United Nations Food and Agriculture Organization estimates that to feed a world population of 9-billion people in 2050 will require an almost doubling of overall food production, including meat, dairy, and egg production over 2010 levels. However, our collective ability to meet this demand cannot be taken for granted. Despite many successes, global agricultural systems now face multiple unprecedented challenges including a dearth of new treatments for livestock diseases. The discovery of antibiotics led to a complacency now reflected in a dependency on exogenous antimicrobials and a growing threat of antimicrobial resistance. Developments within the field of immunobiology had led to significant breakthroughs in understanding of human health and disease. However, despite over 60% of infectious diseases being zoonotic in nature and nonhuman animals acting as an important disease reservoir, research in livestock immunobiology has not been as resourced. As a direct result, recalcitrant animal diseases continue to threaten sustainability of animal production systems, security of the food chain and human health. It is within the context of collective One Health action that ambitious innovation in the connectivity of animal science undergraduate curricula is urgently required, specifically to include threshold concepts in immunobiology. Fostering transformative learning is critical to equip future generations of animal scientists with the knowledge and interdisciplinary skills to counter these existential challenges of our time.
Indexes Derived From Non-linear ESPVR ForEvaluation Of Ventricular Performance

Indexes derived from the non-linear end-systolic pressure-volume relation (ESPVR) are introduced in a way to study the performance of the left ventricle of the heart. The study sheds some light on the problem of heart failure with normal or preserved ejection fraction (HFpEF). It is shown that the ejection fraction (EF) is one index of several indexes that can be derived from the ESPVR in order to assess the performance of the left ventricle. Pressures acting on the left ventricle (ordinates of the ESPVR) as well as areas under the ESPVR (units of energy) can be used in assessing the performance of the left ventricle.
Optimization of energetic electron energy degradation calculations

The optimization of the energy degradation and reapportionment computer algorithms within theoretical computations of the effects and behavior of photoelectrons and other energetic electrons is established within a framework of discrete losses resulting from inelastic collisions with a netural gas and interactions with the ambient electron gas. The basic method described guarantees energy conservation, while allowing large increases in the energy cell sizes with increasing energy with minimal distortion of the total excitation rates of neutrals and heating of the ambient electrons over what would otherwise be possible. When energy resolution of the spectra can be sacrified, extensions to very large energies are economically feasible using approximately seven cells per decade of energy without significant distortions in the energy reapportionment to other species. The emphasis is not on what particular set of cross sections should be used but rather on how to adapt the energy degradation procedure and the energy grid to the characteristics of the cross sections over the energy range of interest. For example, accurate determination of the ambient electron heating rate in terrestrial applications requires fairly small energy cells at low energies (usually less than 0.2 eV wide below 10 eV), while secondary ionization rates and mostmore » neutral excitation rates place no severe limitations on the energy cell sizes. Cell widths much larger than the excitation thresholds are possible and can be large fractions of the mean cell energy. At energies above 30 eV, cell widths that are up to 40% of the mean cell energy appear adequate for some applications not requiring high spectral resolution. « less
Measurement of flow velocities by NMR using a spatially modulated RF field

An approach to measuring flow velocities using a probe with a spatially varying radio-frequency (RF) field and without using other magnetic field gradients is introduced. The velocities of the spins are measured as a modulation of the NMR signal from the translation of a spatial magnetization grating through a detection coil with a spatially periodic field profile. Since the same coil can be employed to create the initial magnetization grating, the overall measurement is as simple as recording the signal modulation frequency following a single excitation pulse. The design principles for a probe that has a spatially periodic field constructed from a series of lumped element circuits are discussed. Spatial modulation of the amplitude or the phase of the RF field can easily be achieved and either of these may be used to characterize a flow field. Examples of measurements of pipe flow using a probe with an amplitude modulated RF field are shown.
Mercury and antimony chalcohalide semiconductors as new candidates for radiation detection applications at room temperature

We demonstrate that mercury and antimony compounds with chalcogens (Q = S, Se, Te) and halogens (X = I, Cl, Br) can be a promising family for radiation detection materials. Chalcogen p-orbitals are usually located near the Fermi level and they are responsible for relative high mobilities but at the same time band gap decreases (from S to Te) due to their extended interactions. Halogens on the other hand have their bands well below the Fermi level and salts between transition metals and halogen are usually insulators. Incorporation of halogen atoms in a mercury or antimony chalcogenide framework can give rise to intermediate properties between the two end members (HgQ and HgX2), i.e. structures composed of heavy elements (Z < 40), wide band gap (1.6 - 2.5 eV), and high carrier mobilities. As a proof of concept, we will present two new chalcohalide families, Hg3Q2X2 and SbQX. Crystal growth of the Hg3Te2Br2 phase (7.8 g/cm3 and 2.5 eV) by a vapor transport method gave mm-sized single crystals with electrical resistivity values more in the GΩ. cm range. Preliminary data for mobility-lifetime products for both electron and hole carriers were around 10-5 cm2/V. SbSeI (5.8 g/cm3 and 1.7 eV) sample grown by relatively fast Bridgman technique showed an MΩ. cm range (2.8 x 106 Ω.cm) resistivity with a similar order of magnitude (10-4 cm2/V) of mobility-lifetime products for both electron and hole carriers.
Latinx community college students experiencing financial aid income verification: A critical race analysis.

Latinx community college to identify barriers in verification process. Using Critical Race Theory, the verification process reflects upholds institutional racism within the financial aid process through three barriers. Abstract Every year millions of students seeking access to federal financial aid complete the Free Application for Federal Student Aid (FAFSA) application which grants an estimated $234 billion in federal aid in the 2020-21 academic year. Upon receiving students’ FAFSA, the U.S. Department of Education selects some students for income verification, a process in which educational institutions check the accuracy of the information students filled out on the FAFSA. I conducted semi-structured interviews with 17 Latinx community college students to identify barriers in the verification process. Using Critical Race Theory, I contend the verification process reflects and upholds institutional racism within the financial aid process through three barriers. Latinx students experience concern and confusion upon receiving notification of verification selection, difficulty locating requested documentation and acquiring parents’ signature, and undergo a lengthy review of their verification forms which delays receipt of their financial aid.
A novel MCMC tracker for stressing scenarios

We propose a very generic Bayesian framework for the principled exploitation of probabilistic batch-learning technologies for real-time state estimation. To illustrate our concepts, we derive a nonlinear filtering/smoothing solution for a challenging case study in target tracking. We also demonstrate the application of Markov chain Monte Carlo (MCMC) sampling methods as a computational tool within our framework. Finally, we present simulation results, benchmarked against a comparable particle filter.
Tritium in the global atmosphere: distribution patterns and recent trends

Temporal and spatial variations of tritium in the global atmosphere during the past three decades are discussed, with emphasis on the tritium content of monthly precipitation, as derived from the database of the IAEA/WMO global network 'Isotopes in Precipitation'. Whereas the tritium levels in precipitation have, in recent years, returned close to natural, pre-bomb values in most parts of the world, the technogenic emissions of tritium are becoming more and more visible. The most important sources of technogenic tritium are nuclear facilities as well as manufacturing and disposal of luminous consumer products. Examples of local and regional scale contamination of the lower troposphere due to ground-level tritium releases are presented.