Miracle-dz/UniFAR-FTUs huggingface dataset:
On resolution sensitivity in the Community Atmosphere Model

Advances in high‐performance computing make it possible to run atmospheric general circulation models (AGCMs) over an increasingly wider range of grid resolutions, using either globally uniform or variable‐resolution grids. In principle, this is an exciting opportunity to resolve atmospheric process and scales in a global model and in unprecedented detail, but in practice this grid flexibility is incompatible with the non‐ or weakly converging solutions with increasing horizontal resolution that have long characterized AGCMs. In the the Community Atmosphere Model (CAM), there are robust sensitivities to horizontal resolution that have persisted since the model was first introduced over thirty years ago; the atmosphere progressively dries and becomes less cloudy with resolution, and parametrized deep convective precipitation decreases at the expense of stratiform precipitation. This study documents a convergence experiment using CAM, version 6, and argues that a unifying cause, the sensitivity of resolved dynamical modes to native grid resolution, feeds back into other model components and explains these robust sensitivities to resolution. The increasing magnitudes of resolved vertical velocities with resolution are shown to fit an analytic scaling derived for the equations of motion at hydrostatic scales. This trend in vertical velocities results in an increase in resolved upward moisture fluxes at cloud base, balanced by an increase in stratiform precipitation rates with resolution. Compensating, greater magnitude subsiding motion with resolution has previously been shown to dry out the atmosphere and reduce cloud cover. Here, it is shown that both the increase in condensational heating from stratiform cloud formation and greater subsidence drying contribute to an increase in atmospheric stability with resolution, reducing the activity of parametrized convection. The impact of changing the vertical velocity field with native grid resolution cannot be ignored in any effort to recover convergent solutions in AGCMs, and, in particular, the development of scale‐aware physical parametrizations.
A checklist of Egyptian fungi: II. Glomeromycota

sive search of publications, thesis, and preliminary annotated checklists and compilations.By screening all available sources of information, it was possible to report forty-eight taxabelonging to one class (Glomeromycetes), four orders (Archaeosporales, Diversisporales,Glomerales and Paraglomerales) and six families (Acaulosporaceae, Archaeosporaceae,Entrophosporaceae, Gigasporaceae, Glomeraceae and Pacisporaceae). Order Glomeralesaccommodates the greatest range of species (28 species), the order Archaeosporales andParaglomerales accommodate the lowest range (one species each).
Resource Allocation for Efficient IOT Application in Fog Computing

When it comes across problems in creating Internet of Things (IOT) architecture, the major problem that arises is an automatic stipulation of resources. At the same time in today’s era, it is very important to integrate this problem with better Quality of Services (QoS) because of which the cloud computing is taking a shift. As being well acquainted that in fog computing, network’s bandwidth is limited, therefore it becomes quite important to build a joint architecture with resource allocation problem giving it a better quality of services with enhanced efficiency and low latency communication. Priority of QoS is determined by Systematic Ladder Process (SLP) and decision parameter evaluation by RECK algorithm. In this paper, there will be a design of a better framework for IOT resource allocation scheme with better efficiency and better QoS. The paper too highlights the comparison of the previous works of the resource allocation algorithms and schemes with RECK algorithm. KeywordsIOT, QoS, Decision parameters, RECK algorithm.
Pythagorean interval 2-tuple Linguistic VIKOR method for evaluating human factors in construction project management

In a construction project, there are many factors that aﬀect the project quality, such as people, materials, machinery, environment, etc. Among them, people have the greatest inﬂuence on the project quality, whether people participate directly or indirectly. This paper mainly evaluates human factors in the process of construction project management, such as workers proﬁciency, workers safety awareness, technical workers quality, and workers emergency capacity, with the purpose of helping Chinas construction project to proceed smoothly. In this manuscript, a multi-attribute group decision-making (MAGDM) technique based on Pythagorean interval 2-tuple linguistic numbers (PI2TLNs) and VIKOR method is proposed to evaluate human factors in construction projects. PI2TLNs are used to represent performance assessments of decision makers. Relying on Pythagorean interval 2-tuple linguistic weighted averaging (PI2TLWA)/Pythagorean interval 2-tuple linguistic weighted geometric (PI2TLWG) operator, the evaluation information given by experts is fused into a group decision matrix. Combined with the essential VIKOR method, PI2TLN-VIKOR framework is established. The eﬀectiveness of this method is veriﬁed by an example, and compared with two algorithms and PI2TLN-TODIM method. (MAGDM), Pythagorean interval 2-tuple linguistic numbers (PI2TLNs), VIKOR method, construction project management.
Performance Analysis of Axial-Flux Induction Motor with Skewed Rotor

In recent years, with developing technology in the field of electrical machines, more efficient and high power density electric motors have been produced. The use of high energy efficiency motors gains importance due to the increase in global energy demand. The main purpose of this study was to design an Axial Flux Induction Motor (AFIM) with the same efficiency class as the Radial Flux Induction Motor (RFIM) in premium efficiency (IE3) class which is used commonly in industrial applications. Various AFIMs are designed with different rotor slot numbers and performance analyses as efficiency and torque ripple changes are investigated. It is known that torque ripple is one of the key parameters in electrical machine design which should be kept as low as possible without decreasing efficiency and torque. Accordingly, AFIMs’ rotor slots are skewed considering the stator and rotor slot numbers. The use of a Soft Magnetic Composites (SMC) material in design is also investigated. As a result of the analyses, many premium efficiency classes for AFIMs are obtained. In addition, using SMC material and skewing the rotor slots provides that torque ripples be reduced.
Mejora del Pensamiento Computacional en Estudiantes de Secundaria con Tareas Unplugged

The teaching-learning of programming fundamentals is increasing in secondary schools, however, it is a very difficult task for the teacher because the student has not yet achieved full development of their computational thinking, so they have difficulty in learning programming fundamentals. In this article, we describe the development of computational thinking activities prior to the teaching of programming fundamentals and we analyze the data obtained from a pre- and post-test of computational thinking applied to a control group and an experimental group. Afterwards, we analyze the results obtained from a test of programming fundamentals to both the control group and the experimental group. The activity has been evaluated during the academic year 2017-2018 by 80 high school students from 10th grade (15 and 16 years old), our results indicate that the development of activities of Computational Thinking previous to the teaching of programming fundamentals has allowed the students to assimilate in a better way the learning in the mentioned subject, that is to say, they extended their mathematical logical reasoning to develop the respective flow charts without any difficulty. That is, they expanded their mathematical logical reasoning to develop the respective flow diagrams without any difficulty.
Tumor necrosis factor-α (TNF-α) polymorphism (-308, G/A) and autoimmune diseases: an updated meta-analysis

Previous studies have investigated the potential relationship between promoter polymorphism (-308, G/ A) of tumor necrosis factor (TNF)-α and various autoimmune diseases. However, results from published data were inconclusive. To verify relationship between TNF-α polymorphism (-308, G/A) and susceptibility to autoimmune diseases such as vitiligo, celiac disease, and rheumatoid arthritis, we have performed a metaanalysis with all relevant articles before October 2016. The electronic search of PubMed, google, and Embase databases was performed to identify eligible studies investigating the relationship of TNF-α polymorphism with autoimmune diseases including vitiligo, celiac disease, and rheumatoid arthritis. Genotype frequency data of TNF-α polymorphism (-308, G/A) were extracted and the meta analysis was performed by Comprehensive meta-analysis program with odds ratio (OR) and 95% confidence intervals (95% CI). Genotype models were applied with dominant and recessive models and allele model analyzed. The final analysis included 37 publication papers with a total of 6,102 autoimmune disease patients and 6,987 control subjects. In result, a statistical significant correlation between TNF-α polymorphism (-308, G/A) and susceptibility to autoimmune disease was not detected in our meta-analysis (p>0.05 in all models). Our results suggest that the TNF-α polymorphism might not be related to the development of autoimmune disease. If further results in larger studies would be accumulated in the future, this relationship would be clarified.
SELECTIVE CULTURE MEDIUM TO ISOLATE CLOSTRIDIUM SPIROFORME FROM RABBIT GUT

Enteritis due to Clostridium spiroforme is an emerging problem of intensive rabbit breading. To control the infection a laboratory support is needed both to diagnose the clostridiosis and to target the therapy. The aetiology can be suspected on the basis of the typical lesions and the bacterioscopical examination of the large intestine content. The isolation of Clostridium spiroforme is necessary to confirm the diagnosis and to evaluate the drug susceptibility. Isolation of Clostridium spiroforme is quite difficult because it requires a rich culture media and needs strictly anaerobic conditions; the microrganism has a low surviving time and produces small colonies not easy to identify. Moreover the isolation can fail because of overgrowing of other anaerobic or facultative anaerobic species (i.e. Proteus spp.). Thus the isolation procedure is too related to the subjective ability of the technician. To avoid the contamination problems a selective culture media (SM) to isolate Clostridium spiroforme was standardized. The commercial PAB medium (Perfringens Agar base,Oxoid) was supplemented with SFP (Shahidi-Ferguson-Perfringens Selective Supplement, Oxoid) and added with a 5% of sheep red blood cells, 500 µg/ml of tylosin (Tylosin tartrate, Sigma) and 12,5 µg/ml of rifampicin (Rifampicin powder, Sigma). The SM was tested with 105 samples of different clinical significance and compared with the control medium. Results evidenced the ability of the SM to isolate Clostridium spiroforme in 79% of samples. Best results were obtained with samples without chemical and physical pre-treatment, so that it was enhanced the sensitivity of the medium while reducing both time and tools consuming. Moreover the capacity of the medium to isolate pure colonies from samples of high clinical relevance (47.5% of isolation against 13.3% of control media) reduces the necessity of specialized personal and makes the procedure easier to standardize.
Suppression of internal waves by thermohaline staircases

Abstract This study attempts to quantify and explain the systematic weakening of internal gravity waves in fingering and diffusive thermohaline staircases. The interaction between waves and staircases is explored using a combination of direct numerical simulations (DNS) and an asymptotic multiscale model. The multiscale theory makes it possible to express the wave decay rate $({\lambda _d})$ as a function of its wavenumbers and staircase parameters. We find that the decay rates in fully developed staircases greatly exceed values that can be directly attributed to molecular dissipation. They rapidly increase with increasing wavenumbers, both vertical and horizontal. At the same time, ${\lambda _d}$ is only weakly dependent on the thickness of layers in the staircase, the overall density ratio and the diffusivity ratio. The proposed physical mechanism of attenuation emphasizes the significance of eddy diffusion of temperature and salinity, whereas eddy viscosity plays a secondary role in damping internal waves. The asymptotic model is successfully validated by the DNS performed in numerically accessible regimes. We also discuss potential implications of staircase-induced suppression for diapycnal mixing by overturning internal waves in the ocean.
Attenuation characteristics of stress wave in cracked concrete beam using smart aggregate transducers enabled time-reversal technique

Piezoelectric enabled stress wave methods for concrete structural health monitoring have been widely researched. However, the attenuation characteristics of stress wave in cracked concrete structures have barely been studied. As a result, it is hard to quantify the damage levels of the concrete structure. In this paper, the attenuation characteristics of stress wave in cracked concrete beam are studied using stress wave with the time-reversal technique. The attenuation model of stress waves related to the focused signal amplitude and the total crack width of concrete beam is proposed. In this study, a series of 18 concrete beams were tested using a four-point loading. During the test procedure, the signals of stress wave from the piezoelectric smart aggregate transducers in all the test specimens were collected to facilitate the proposed model. The test data of 12 beams are used to determine the attenuation coefficient of stress wave per unit crack width, and the test data of the other six beams are used to validate the accuracy of the proposed attenuation model. The results indicate that the prediction results based on the stress wave attenuation model are in good agreement with the test results of cracked concrete beams.
Assessment of Job Satisfaction Level and Its Associated Factors among Health Workers in Addis Ababa Health Centers: A Cross-Sectional Study

Health workers account for the largest share of public expenditures on health and play an important role in improving the quality of health services. There is concern that poor health worker performance limits the effectiveness of health systems strengthening efforts. A cross-sectional study was conducted from September to October 2016 in Addis Ababa health centers. Data were collected from 420 healthcare workers using a pretested and structured questionnaire by trained data collectors. EPI Info 7 was used for data entry, and analysis was done by SPSS version 20. Bivariate and multivariate logistic analyses were used to identify factors associated with the outcome variable and to control confounders. values less than 0.05 were considered statistically significant. The overall job satisfaction level accounts for 53.8% with 95% CI of (48.9%, 59.0%). Marital status and professional qualification were the potent predictors of job satisfaction. Respondents who never married were 1.65 times more likely to be satisfied in their job than those married or divorced (AOR: 1.65 (95% CI: 1.02, 2.66)). Laboratory professionals and nursing professionals were 2.74 and 1.97 times more likely to be satisfied in their job compared to health officers (AOR: 2.47 (95% CI: 1.14, 6.59) and AOR: 1.97 (95% CI: 1.12, 3.48), respectively). More than half of the healthcare workers in the study area were satisfied in their job. Marital status and healthcare workers’ profession type were predictors of job satisfaction. Research studies indicate that there is a positive relationship between performance and job satisfaction. Accordingly, the present study aimed at determining the level of job satisfaction of health workers and its associated factors in the health centers of Addis Ababa, Ethiopia.
EMERGING THERAPY FOR DENGUE

Dengue fever is acute febrile diseases, it’s caused by one of four closely related virus serotypes of the genusare Flavivirus, family Flaviviridae. Each serotype is sufficiently different that there is no cross-protection and epidemics caused by multiple serotypes can occurs. It’s transmitted to humans by the mosquito. The incidence of dengue has grown around the world in recent a period of ten years. However, several classes of agents are in under investigation as potential anti-dengue drugs, including direct host modulators, antivirals, and RNAi therapeutics. These anti-dengue drugs in development will be reviewed here.
Evaluation of Serum Serotonin as a Biomarker for Myocardial Infarction and Ischemia/Reperfusion Injury

Background: Activated platelets release serotonin during acute myocardial infarction (AMI), aggravating myocardial damage and ischemia/reperfusion (I/R) injury. However, serum serotonin and its potential role as a biomarker for myocardial infarction and I/R injury have not been studied so far. Methods: In this investigator-initiated pilot study, we examined 38 patients with ST-segment myocardial infarction (STEMI). We determined serum serotonin levels prior to percutaneous coronary intervention and 8, 16, and 24 h afterwards. We studied whether serum serotonin was associated with I/R injury assessed by ECG analysis and by analysis of TIMI myocardial perfusion grade (TMP) and myocardial blush grade (MGB). Serum serotonin levels were compared to an age-matched control group consisting of patients admitted to the emergency department for any other reason than STEMI. Results: Serum serotonin levels were not elevated in the myocardial infarction group compared to the control cohort and they did not show any timeline kinetics after STEMI. They were not associated with the severity of coronary artery disease, the outcome of coronary angiography, the extent of I/R injury, or the degree of heart failure. Conclusions: Serum serotonin is not suitable as a biomarker after myocardial infarction and in the assessment of I/R injury.
Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network

This research work proposes a novel approach to estimate probabilities of availability states of the energy transfer network in marine energy conversion subsystems, using Bayesian Networks (BNs). The logical interrelationships between units at different level in this network can be understood through qualitative system analysis, which then can be modeled by the fault tree (FT). The FT can be mapped to a corresponding BN, and the condition probabilities of nodes can be determined based on the logic structure. A case study was performed to demonstrate how the mapping is implemented, and the probabilities of availability states were estimated. The results give the probability of each availability state as a function of time, which serves as a basis for choosing the optimal design solution.
An investigation of public awareness and knowledge of aphasia in the West of Ireland

ABSTRACT Background Research investigating public awareness of aphasia internationally shows limited awareness and knowledge. This is concerning because the literature suggests that awareness of aphasia contributes to the health, community participation and psychosocial wellbeing of people with aphasia and their families. Increased awareness promotes inclusion and influences investment in research and resources. To date there is no previous data relating to public awareness and knowledge of aphasia in Ireland. This study reports on the public awareness and knowledge of aphasia in the West of Ireland. Aim To investigate the levels of public awareness and knowledge of aphasia in the West of Ireland. Methods&Procedures This quantitative study used a standardised survey questionnaire to collect data about aphasia awareness and knowledge via face-to-face interviews in urban and rural locations in the West of Ireland. Using convenience sampling, participants (N = 600) were recruited. Information related to participants’ (1) age, gender and occupation; (2) sources of aphasia awareness and (3) awareness of other neurogenic conditions was collected and statistically analysed. Outcomes & Results Findings indicate that 19.7% of participants had awareness of aphasia which is higher than many previous studies; however, only 5.5% had knowledge of aphasia which is lower than previous research in the field. Gender and occupation significantly influenced levels of awareness and knowledge. The majority of participants identified the media and work as the main sources of aphasia information. Aphasia awareness was significantly lower than awareness of other conditions including dyslexia, stuttering/stammering and stroke. Conclusions Public awareness and knowledge of aphasia in the West of Ireland are low. This limited public understanding of aphasia may influence the involvement of people with aphasia and their families in Irish communities and the accessibility of services. Further research to determine public awareness and knowledge of aphasia in Ireland is warranted. This information will contribute to the development of a targeted, national co-designed campaign to increase levels of public awareness and knowledge of aphasia in Ireland.
IHSF: An Intelligent Solution for Improved Performance of Reliable and Time-Sensitive Flows in Hybrid SDN-Based FC IoT Systems

The integration of software-defined networking (SDN) into legacy networks causes both operational and deployment issues. In this context, this article proposes a novel approach, called An Intelligent Solution for Improved Performance of Reliable and Time-sensitive Flows in hybrid SDN-based fog computing IoT systems (IHSF). The proposed IHSF approach has three solutions: 1) a novel algorithm to deploy SDN switches between legacy switches to improve network observability; 2) a ${K}$ -nearest neighbor regression algorithm to predict in real time the reliability of legacy links at the SDN controller based on historic data; this enables the SDN controller to make timely decisions, improving system performance; and 3) a reliable and time-sensitive deep deterministic policy gradient algorithm (RT-DDPG), which optimally computes forwarding paths in hybrid SDN-F for time-critical traffic flows generated by IoT applications. The simulation results show that our proposed IHSF solution has a better performance than the existing approach in terms of network observability time, number of disturbed flows, end-to-end delay, and packet delivery ratio.