Miracle-dz/UniFAR-FTUs huggingface dataset:
Follow-up evaluation of the Coaching for Life Skills online training program

Coach education has been positioned as an important catalyst in enabling coaches to maximise the positive influence of high school sport on student-athlete development. The purpose of the study was to conduct a subsequent season follow-up evaluation, examining longer-term changes in coach-athlete relationship, coach interpersonal behaviours, and life skills teaching in coaches who completed the Coaching for Life Skills (CLS) online training program. A 2 × 2 prospective causal comparative design was used. Coaches (n = 285) were asked to complete follow-up measures during the high school sport season that followed their completion of the trial. The response rate was 36.84%, with the final sample consisting of 64 participants. Data were analysed using independent sample t-tests. From baseline to subsequent season follow-up, scores for coach-athlete relationship and coach interpersonal behaviours significantly increased for the CLS group and significantly decreased for the comparison group. No significant differences in scores were found on life skills teaching from baseline to subsequent season follow-up. The results suggest that the intervention may have helped CLS group coaches remain consistent in their use of relational coaching behaviours.
Communicating personalised risks from COVID-19: guidelines from an empirical study

As increasing amounts of data accumulate on the effects of the novel coronavirus Sars-CoV-2 and the risk factors that lead to poor outcomes, it is possible to produce personalised estimates of the risks faced by groups of people with different characteristics. The challenge of how to communicate these then becomes apparent. Based on empirical work (total n=5,520, UK) supported by in-person interviews with the public and physicians, we make recommendations on the presentation of such information. These include: using predominantly percentages when communicating the absolute risk, but also providing, for balance, a format which conveys a contrasting (higher) perception of risk (expected frequency out of 10,000); using a visual linear scale cut at an appropriate point to illustrate the maximum risk, explained through an illustrative ‘persona’ who might face that highest level of risk; and providing context to the absolute risk through presenting a range of other ‘personas’ illustrating people who would face risks of a wide range of different levels. These ‘personas’ should have their major risk factors (age, existing health conditions) described. By contrast, giving people absolute likelihoods of other risks they face in an attempt to add context was considered less helpful.
Modélisation stochastique des petites échelles de la turbulence: formulation générale

The action of small structures cannot be taken into account in a suitable form through a turbulent eddy viscosity as has been emphasized. A new method is proposed in order to simulate the role played by small structures; a stochastical model is introduced Dans un precedent compte rendu nous avions souligne les limites de la parametrisation des petites echelles par une viscosite turbulente en simulation numerique de la turbulence anisotrope. Une nouvelle modelisation de sous-maille est maintenant presentee. Dans cette formulation une partie des termes d'echange entre grandes et petites structures est prise en compte de facon stochastique
Porous Venturi-Orifice Microbubble Generator for Oxygen Dissolution in Water

Microbubbles with slow rising speed, higher specific area and greater oxygen dissolution are desired to enhance gas/liquid mass transfer rate. Such attributes are very important to tackle challenges on the low efficiency of gas/liquid mass transfer that occurs in aerobic wastewater treatment systems or in the aquaculture industries. Many reports focus on the formation mechanisms of the microbubbles, but with less emphasis on the system optimization and assessment of the aeration efficiency. This work assesses the performance and evaluates the aeration efficiency of a porous venturi-orifice microbubble generator (MBG). The increment of stream velocity along the venturi pathway and orifice ring leads to a pressure drop (Patm > Pabs) and subsequently to increased cavitation. The experiments were run under three conditions: various liquid velocity (QL) of 2.35–2.60 m/s at fixed gas velocity (Qg) of 3 L/min; various Qg of 1–5 L/min at fixed QL of 2.46 m/s; and free flowing air at variable QLs. Results show that increasing liquid velocities from 2.35 to 2.60 m/s imposes higher vacuum pressure of 0.84 to 2.27 kPa. They correspond to free-flowing air at rates of 3.2–5.6 L/min. When the system was tested at constant air velocity of 3 L/min and under variable liquid velocities, the oxygen dissolution rate peaks at liquid velocity of 2.46 m/s, which also provides the highest volumetric mass transfer coefficient (KLa) of 0.041 min−1 and the highest aeration efficiency of 0.287 kgO2/kWh. Under free-flowing air, the impact of QL is significant at a range of 2.35 to 2.46 m/s until reaching a plateau KLa value of 0.0416 min−1. The pattern of the KLa trend is mirrored by the aeration efficiency that reached the maximum value of 0.424 kgO2/kWh. The findings on the aeration efficiency reveals that the venturi-orifice MBG can be further optimized by focusing on the trade-off between air bubble size and the air volumetric velocity to balance between the amount of available oxygen to be transferred and the rate of the oxygen transfer.
Multiple-Attribute Decision-Making Problem Using TOPSIS and Choquet Integral with Hesitant Fuzzy Number Information

The paper aims are to present a method to solve the multiple-attribute decision-making (MADM) problems under the hesitant fuzzy set environment. In MADM problems, the information collection, aggregation, and the measure phases are crucial to direct the problem. However, to handle the uncertainties in the collection data, a hesitant fuzzy number is one of the most prominent ways to express uncertain and vague information in terms of different discrete numbers rather than a single crisp number. Additionally, to aggregate and to rank the collective numbers, a TOPSIS (“Technique for Order of Preference by Similarity to Ideal Solution”) and the Choquet integral (CI) are the useful tools. Keeping all these features, in the present paper, we combine the TOPSIS and CI methods for hesitant fuzzy information and hence present a method named as TOPSIS-CI to address the MADM problems. The presented method has been described with a numerical example. Finally, the validity of the stated method as well as a comparative analysis with the existing methods is addressed in detail.
Spatial and Temporal Variations in Earthquake Stress Drops between the 2008 Wenchuan and 2013 Lushan Earthquakes

As a case study of spatial and temporal variations in earthquake stress drops between the 2008 Ms 8.0 Wenchuan and 2013 Ms 7.0 Lushan earthquakes, we computed 1828 stress‐drop values for earthquakes with magnitudes 1.7 ≤ ML ≤ 5.0 during an eight‐year time span before and after major earthquakes. We divide the study area into three subregions (the southern segment of the Longmen Shan fault zone; the southwestern junction of the Longmen Shan and Sichuan Basin; and the southwestern margin of the Sichuan Basin) and calculate individual event stress drops in each. The results show that regions of alternating high and low stress drop are found on either side of the southwestern segment of the Longmen Shan fault zone. During the two‐year period after the 2008 Ms 8.0 Wenchuan earthquake, the stress state of the southern Longmen Shan fault shows no significant change. A marked increase in stress level appears about 18 months before the 2013 Ms 7.0 Lushan earthquake near the Lushan hypocenter zone. Two months after the Ms 7.0 event, the stress drops suddenly attenuate, with significantly less seismic energy release per event. We find that changes in the patterns of high and low stress drop values are consistent with the process of stress accumulation or transfer from the pre‐mainshock to post‐mainshock periods. The results indicate that major earthquakes are the dominant cause of temporal and spatial evolution in stress levels. Stress drop variations show obvious temporal and spatial patterns that may suggests subtle changes in the character of stress fields on faults and spatial variations related to local intense compression and tectonic effects.
A disconnect between upslope shifts and climate change in an Afrotropical bird community

Climate change threatens to push species to higher elevations and eventual extinction. Birds, in particular, are shown to be shifting upslope in the Neotropics and Southeast Asia. Yet previous studies have lacked the temporal resolution to investigate distributional dynamics over time in relation to climatic fluctuations, especially in the understudied Afrotropics. Here, we used 15 years of point‐count data from across an elevational gradient (1,767–2,940 m) in Rwanda, to assess elevational shift rates and dynamics in a community of Afrotropical birds. In general, species shifted their elevations upslope by 1.9 m/year, especially at their lower elevational limits which shifted by 4.4 m/year. Importantly, these shifts occurred despite the fact that local temperature and precipitation showed little trend over the study period. Moreover, the interannual distributions of few species were associated with temperature, suggesting that temperature played little direct role in determining elevational distributions of birds. Instead, upslope shifts may be more related to incremental shifts in habitat and resources which lag behind decades of increased temperature in the region. Precipitation appeared to have more of an effect than temperature in determining interannual elevational changes, allowing species to expand their ranges in years of higher rainfall. Our results highlight the need to understand the mechanisms driving upslope shifts as they occur throughout the tropics. It will be critical for montane regions of the tropics to preserve contiguous blocks of forest across elevational gradients to allow wildlife to shift unimpeded.
Advances in the systematics and evolution of western Mediterranean representative species of the Pentanema conyzae clade through genetic fingerprinting

Forty‐five populations of Pentanema corresponding to seven species included in the Pentanema conyzae clade have been studied using AFLP fingerprinting. The results show that allopolyploidization could have been involved in the diversification of this group, specifically in species P. langeanum and P. maletii. Molecular data confirm the presence of P. britannicum in the Iberian Peninsula and key steps are provided to identify the species that are morphologically the most challenging.
Development of an extended topology-based lightweight cryptographic scheme for IEEE 802.15.4 wireless sensor networks

Among the classes of wireless personal area networks, a wireless sensor network typically refers to a versatile and densely distributed sensing platform that enables the support of a wide variety of application domains. Among the various technical challenges addressed by more than one decade of research in wireless sensor networks, security across wireless links is by far one of the most critical ones and relates to the need of guaranteeing reliability and trustiness of the collected data. This article deals with the cryptographic aspects involved in securing wireless sensor networks, in terms of confidentiality and authentication. In particular, moving from some results previously achieved in our research activity, this article extends a cryptography scheme in order to better comply with the security requirements that arise from real-world wireless sensor network installations. The proposed scheme, called topology-authenticated key scheme 2, takes advantage of hybrid cryptography to provide security in the presence of resource-constrained sensor nodes using topology-authenticated keys to provide increased robustness to the scheme itself. The proposed extensions provide full practical support to star-topology wireless sensor networks and the article presents also some experimental results obtained by implementing the scheme on two different wireless sensor network platforms available for protocol stacks compliant with the IEEE 802.15. 4 standard.
A quantitative analysis of AES and XPS specifically applied in adsorption systems at submonolayer regime

An analysis of the intensity ratios, adsorbate over substrate and substrate over the clean one, is carried out, treating them as a system of two independent variables. This leads to simple formulas, ready to be applied to the determination of coverage up to the monolayer point, if elemental bulk standards are available. The procedure allows one more parameter to be found out compared with previous treatments. Formulas are produced for polycrystalline and single crystal elemental bulk standards. The coverage thus calculated turns out to be a function of the intensity from the adsorbate over that from the clean substrate. The analysis is applied successfully to the adsorption of Ba on the Ni(110) surface at submonolayer regime.
Modelling the brain: Elementary components to explain ensemble functions

The brain is organized on multiple levels. The lowest meaningful one pertains to the molecular realm, followed by subcellular structures like the synapses, by cells like the neurons, and by microcircuits, mesocircuits and large-scale circuit assemblies. This stratified structure has so far hampered the interpretation of brain functions in terms of elementary electrochemical events occurring in the membranes of neurons and synapses. Each organization level is governed by emerging rules that do not simply account for the summation of events at the lower levels but require the understanding of highly non-linear interactions occurring in complex feed-forward and feed-back loops. Moreover, various forms of plasticity can persistently modify the neural circuits and their connections depending on the interactions of the organism with the environment. The brain appears thus to operate as a complex adaptive dynamical system and interpreting its function requires understanding the timedependent evolution of multiple local activities and their rewiring during behaviour. While experimental evidence is instrumental to any further consideration on how the brain might operate, interpreting its multiscale organization in mechanistic terms requires the development of appropriate models. In this work we will illustrate how low-level representations of neuronal activity, intermediate level large-field networks and high-level connectomics can be used to explain how ensemble brain functions might emerge from elementary neuronal components.
Performance Analysis of Stationary and Deterministic AODV Model

Vehicular Adhoc Network (VANET) is an emerging technology that provides a digital communication among vehicles, persons and Road-Side Units (RSU). VANETs are highly vulnerable to cyber-attacks. These cyber-attacks make a wrong illusion on traffic jam, can inject false information regarding traffics and injects large amount of spam messages that disrupts the normal functionalities. The main objective of the research work is to implement and analyze the different models that help in improving the traffic management. The scenarios are simulated, and the performance is analyzed using the OMNET++ Simulator.
Using developmental evaluation to implement an oral pre-exposure prophylaxis (PrEP) project in Kenya

Oral Pre-Exposure Prophylaxis (PrEP) is highly effective in lowering HIV transmission risk. The Bill and Melinda Gates-funded Jilinde Project was designed to identify the best ways to introduce and support PrEP services in Kenya for female sex workers, men who have sex with men, and adolescent girls and young women. We chose Developmental Evaluation (DE) as a core project approach because our goal was not just to recruit 20,000 new PrEP users, but to learn how to deliver PrEP effectively to optimally benefit users in a complex, dynamic, resource-limited setting. This paper describes how we incorporated DE into the Jilinde Project, and shares experiences and lessons learned about the value of DE in PrEP service implementation in a real-world situation. With the Ministry of Health, Jilinde developed consensus about the structure and roll-out of PrEP services. The DE evaluator, embedded in Jilinde, designed and implemented the five-step DE methodology—collect, review, reflect, record and act—according to a core set of project guiding principles. The paper describes how we operationalized the five elements, citing findings reported and actions taken reflecting on the data. It summarizes challenges to DE implementation, such as uneven uptake and competing demands, and how we addressed those challenges. Used consistently, DE helped adapt and refine PrEP services, improve service access, reach target audiences and improve continuation rates. The look, feel and yield of our DE efforts evolved over time, increasingly integrated into existing systems and providing deeper and richer understandings, and we learned how to better implement DE in the future. This case study provides practical guidance for using a DE approach in program design. The DE process can be used successfully working with partners on a common complex public health challenge within a dynamic environment in a way that feeds back into and improves programs.
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 robust control with improved harmonics suppression for inverter‐based distributed generation systems

Voltage source inverter is a key element in an inverter-based distributed generation (DG) system for the integration of renewable energy resources with an existing power grid. Interconnection standards for the requirements of inverter output current quality are one of the foremost demands imposed by distribution system operators. The operation of a stabilised DG system with LCL -filter meeting current quality requirements is challenging due to variation in system parameters and non-ideal grid voltages. In this context, this study proposes a robust controller design and modified control structure to improve current quality in the presence of distorted grid voltages. The controller is designed based on general mixed sensitivity problem formulation to achieve robustness against system parameters variation and ensure high-quality injected current under normal grid voltage. The control performance of the designed robust controller with a feed-forward loop is investigated under distorted grid voltage. Furthermore, an inverter current compensation is proposed, employed by an additional inverter current feedback loop through the high-pass compensator. The current quality investigation with variation in different parameters and low power operation shows enhanced control performance of the proposed solution under distorted as well as normal grid voltages. The main features of the proposed scheme are the simplicity in design, easy implementation, and better harmonics rejection capability without limiting the control loop stability. The simulation and experimental results validate the effectiveness of the proposed method .
The Fourth-Party Logistics Routing Problem Using Ant Colony System-Improved Grey Wolf Optimization

The fourth-party logistics routing problem (4PLRP) is an important issue in the operation of fourth-party logistics (4PL). In this paper, the study of fourth-party logistics (4PL) path optimization considers that more third-party logistics (3PL) undertake transportation tasks. Under the condition that the 3PL transportation time, transportation cost, node transit time, and transit cost are uncertain, 4PL provides customers with a set of transportation solutions to transport transportation tasks from the initial node to the destination node according to the customer’s risk aversion preference. The transportation scheme not only meets the customer’s time and cost requirements but also meets the carrying capacity and reputation constraints of 3PL. Between the two nodes, one or more 3PLs will undertake the transportation task. The customer’s risk preference will be measured by the ratio utility theory (RUT). An ant colony system-improved grey wolf optimization (ACS-IGWO) is designed to solve the model, and the grey wolf optimization (GWO) is improved by the convergence factor and the proportional weight. Problem analysis is conducted through simulation experiments.
Inferring origins of migrating insects using isoscapes: a case study using the true armyworm, Mythimna unipuncta, in North America

1. Many important insect pests undertake seasonal migrations at continental scales in response to changes in resource quality and availability. The frequency and timing of these events could be influenced by the impact of climate change on the suitability of the different sites exploited throughout the year, yet, in many cases, little is known about the origin of seasonal populations, as tracking insect movements is extremely challenging due to their small body size.
Molecular phylogeny of Nectria species associated with dieback and canker diseases in China, with a new species described

Nectria is a wood-inhabiting genus of fungi commonly found in temperate regions of the northern hemisphere, where they are associated with dieback and canker diseases of numerous woody plant hosts. In this study, fungal isolates were collected from 2012 to 2017 from diseased branches or twigs of 19 different host species in China and identified. Their morphological characteristics and multi-locus phylogeny (act, ITS, LSU, rpb2, tef1, and tub2) indicated four distinct lineages with high statistical support, corresponding to four species of Nectria: N. balansae, N. dematiosa, N. pseudotrichia, and N. ulmicola sp. nov. The last is characterized by yellow to orange, or sometimes dark brown, sporodochial conidiomata, which are sessile, and by unbranched or bifurcate conidiophores. This study has clarified the taxonomy of Nectria species associated with canker and dieback symptoms in China.
Grade III Solitary Fibrous Tumor/Hemangiopericytoma: A Rare Case of a World Health Organization Grade III Anaplastic Hemangiopericytoma

Solitary fibrous tumors (SFTs) and hemangiopericytomas (HPCs) have been combined into a single designation in the most recent World Health Organization (WHO) guidelines as solitary fibrous tumor/hemangiopericytoma (SFT/HPC). These rare intracranial tumors can present as WHO grade I, II, or III tumors, with the risk of recurrence, metastasis, and mortality worsening with higher-grade tumors. We present a case of a patient with a WHO grade III SFT/HPC with an emphasis on the imaging features that help differentiate this type of tumor from meningiomas, which are much more common and can appear similar. Being able to help differentiate these tumors by their imaging appearance is important to help triage and risk-stratify patient management decisions.