Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of density and viscosity on deformation, breakage, and coalescence of bubbles in turbulence

We investigate the effect of density and viscosity differences on a swarm of large and deformable bubbles dispersed in a turbulent channel flow. For a given shear Reynolds number, Re=300, and a constant bubble volume fraction, Phi=5.4%, we perform a campaign of direct numerical simulations of turbulence coupled with a phase-field method accounting for interfacial phenomena. For each simulation, we vary the Weber number (We, ratio of inertial to surface tension forces), the density ratio (r, ratio of bubble density to carrier flow density) and the viscosity ratio (e, ratio of bubble viscosity to carrier flow viscosity). Specifically, we consider two Weber numbers, We=1.50 and We=3.00, four density ratios, from r=1 down to r=0.001, and five viscosity ratios, from e=0.01 up to e=100. Our results show that density differences have a negligible effect on breakage and coalescence phenomena, while a much stronger effect is observed when changing the viscosity of the two phases. Increasing the bubble viscosity with respect to the carrier fluid viscosity damps turbulence fluctuations, makes the bubble more rigid, and strongly prevents large deformations, thus reducing the number of breakage events. Local deformations of the interface, on the contrary, depend on both density and viscosity ratios. The opposite effect is observed for increasing bubble viscosities. We report that these effects are mostly visible for larger Weber numbers, where surface forces are weaker. Finally, we characterize the flow inside the bubbles; as the bubble density is increased, we observe, as expected, an increase in the turbulent kinetic energy (TKE) inside the bubble, while as the bubble viscosity is increased, we observe a mild reduction of the TKE inside the bubble and a strong suppression of turbulence.
Modeling Iceberg Longevity and Distribution During Heinrich Events

During the last glacial period (120–12 ka), the Laurentide ice sheet discharged large numbers of icebergs into the North Atlantic. These icebergs carried sediments that were dropped as the icebergs melted, leaving a record of past iceberg activity on the floor of the subpolar North Atlantic. Periods of significant iceberg discharge and increased ice‐rafted debris (IRD) deposition, are known as Heinrich Events. These events coincide with global climate change, and the melt from the icebergs involved is frequently hypothesized to have contributed to these changes in climate by adding a significant volume of cold, fresh water to the North Atlantic. Using an iceberg model coupled with the Massachusetts Institute of Technology Global Circulation Model numerical circulation model, we explore the various factors controlling iceberg drift and rates of melt that influence the spatial patterns of IRD deposition during Heinrich Events. In addition to clarifying the influence of sea surface temperature and wind on the path of an armada of icebergs, we demonstrate that the same volume of ice can produce very different patterns of iceberg drift simply by altering the size of icebergs involved. We note also a significant difference in the seasonal locations of icebergs, influenced primarily by the changing winds, and show that the spatial patterns of IRD for Heinrich Event 1 most closely corresponds to where icebergs are located during the summer months. Consistent with proxy evidence, the ocean must be several degrees colder than temperatures estimated for the Last Glacial Maximum in order for icebergs to travel the distance implied by Heinrich Layers.
Policy coherence between climate change adaptation and urban policies in Ghana: implications for adaptation planning in African cities

ABSTRACT African urban areas and cities are primarily seen as vulnerable to climate change. Apparent attempts to get required policies have led to the widespread proliferation of overlapping and duplications of policies. Using a policy coherence framework, this study aims to synthesise the coherency of climate adaptation and urban policies in Ghana. The study used content analysis of existing policy documents to understand if specific variables are explicit, implicit or not mentioned in four urban and climate change policies in Ghana. It was found that there is a minimal degree of coherence only in the adaptation measures, but there is a general lack of coherence in the motivation and implementation. This can be attributed to radically different current institutional arrangements for urban planning and climate change, inconsistent use of data and terminologies, and lack of embracement of innovations in urban planning in African cities. The findings suggest that attention must be given to integrated collaborative adaptation planning to address these impediments in urban planning context of African cities.
Effectiveness of Melodic Intonation Therapy in Chinese Mandarin on Non-fluent Aphasia in Patients After Stroke: A Randomized Control Trial

Melodic intonation therapy (MIT) positively impacts the speech function of patients suffering from aphasia and strokes. Fixed-pitch melodies and phrases formulated in MIT provide the key to the target language to open the language pathway. This randomized controlled trial compared the effects of music therapy-based MIT and speech therapy on patients with non-fluent aphasia. The former is more effective in the recovery of language function in patients with aphasia. Forty-two participants were enrolled in the study, and 40 patients were registered. The participants were randomly assigned to two groups: the intervention group (n = 20; 16 males, 4 females; 52.90 ± 9.08 years), which received MIT, and the control group (n = 20; 15 males, 5 females; 54.05 ± 10.81 years), which received speech therapy. The intervention group received MIT treatment for 30 min/day, five times a week for 8 weeks, and the control group received identical sessions of speech therapy for 30 min/day, five times a week for 8 weeks. Each participant of the group was assessed by a Boston Diagnostic Aphasia Examination (BDAE) at the baseline (t1, before the start of the experiment), and after 8 weeks (t2, the experiment was finished). The Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) were also measured on the time points. The best medical care of the two groups is the same. Two-way ANOVA analysis of variance was used only for data detection. In the spontaneous speech (information), the listening comprehension (right or wrong, word recognition, and sequential order) and repetitions of the intervention group were significantly higher than the control group in terms of the cumulative effect of time and the difference between groups after 8 weeks. The intervention group has a significant time effect in fluency, but the results after 8 weeks were not significantly different from those in the control group. In terms of naming, the intervention group was much better than the control group in spontaneous naming. Regarding object naming, reaction naming, and sentence completing, the intervention group showed a strong time accumulation effect. Still, the results after 8 weeks were not significantly different from those in the control group. These results indicate that, compared with speech therapy, MIT based on music therapy is a more effective musical activity and is effective and valuable for the recovery of speech function in patients with non-fluent aphasia. As a more professional non-traumatic treatment method, MIT conducted by qualified music therapists requires deeper cooperation between doctors and music therapists to improve rehabilitating patients with aphasia. The Ethics Committee of the China Rehabilitation Research Center approved this study (Approval No. 2020-013-1 on April 1, 2020) and was registered with the Chinese Clinical Trial Registry (Registration number: Clinical Trials ChiCTR2000037871) on September 3, 2020.
Ultrafast Detection of SARS-CoV-2 Spike Protein (S) and Receptor-Binding Domain (RBD) in Saliva Using Surface-Enhanced Raman Spectroscopy

Controlling contagious diseases necessitates using diagnostic techniques that can detect infection in the early stages. Although different diagnostic tools exist, there are still challenges related to accuracy, rapidity, cost-effectiveness, and ease of use. Surface-enhanced Raman spectroscopy (SERS) is a rapid, simple, less expensive, and accurate method. We continue our previous work published on SERS detection of the SARS-CoV-2 receptor-binding domain (RBD) in water. In this work, we replace water with saliva to detect SARS-CoV-2 proteins at very low concentrations and during a very short time. We prepared a very low concentration of 10−9 M SARS-CoV-2 spike protein (S) and SARS-CoV-2 receptor-binding domain (RBD) in saliva to mimic a real case scenario. Then, we drop them on a SERS substrate. Using modified SERS measurements on the control and the sample containing the biomolecules, confirmed the sensitivity of the target identification. This technique provides different diagnostic solutions that are fast, simple, non-destructive and ultrasensitive. Simulation of the real-world of silicon wire covered with silver and gold, were performed using an effective and accurate tool, COMSOL Multiphysics software, for the enhancement properties study.
Water‐ and air‐filled pore networks and transport parameters under drying and wetting processes

The connectivity and tortuosity of fluid‐filled pore networks in the water and air phases strongly influence the mass transport in porous media. Moisture conditions (water content and distribution) alter water‐ or air‐filled pore networks. In this study, using a sand column with variable saturated conditions, water‐ and air‐filled pore networks were analyzed using X‐ray computed tomography (CT). Water and air transport parameters, including hydraulic conductivity, gas diffusion coefficient, and air permeability, were measured. The objectives were (a) to identify the effects of entrapped air on the water‐filled pore network and hydraulic conductivity and (b) to understand the water‐ and air‐filled pore networks and relevant transport parameters in the sand column during the drying and wetting processes. Measurements of hydraulic conductivity using quasisaturated samples showed that hydraulic conductivity was drastically reduced when smaller in situ air bubbles were present inside the sand column. At the same air‐filled porosity, higher gas diffusivity and air permeability were obtained under wetting than those during drying. X‐ray CT image analysis revealed that the air‐filled pore network connectivity during wetting was higher than that during drying, resulting in enhanced gas transport parameters during the wetting process. The observed differences in water‐ and air‐filled pore networks during drying and wetting processes are highly promising for future multiphase mass transport models in soils.
Global Extension and Predominance of Human Metapneumovirus A2 Genotype with Partial G Gene Duplication

Human metapneumovirus (HMPV) is an important respiratory pathogen and is divided in two main groups (A and B). HMPV strains with partial duplications (111-nt and 180-nt duplication) of the G gene have been reported in recent years. Since the initial reports, viruses with these characteristics have been reported in several countries. We analyzed all complete HMPV G gene ectodomain sequences available at GenBank to determine if viruses with 111-nt or 180-nt duplication have become the leading HMPV strains worldwide, and to describe their temporal and geographic distribution. We identified 1462 sequences that fulfilled study criteria (764 HMPV A and 698 HMPV B) reported from 37 countries. The most frequent HMPV A genotype was A2b2 (n = 366), and the most frequent B genotype was B2 (n = 374). A total of 84 sequences contained the 111-nt duplication, and 90 sequences contained the 180-nt duplication. Since 2016, viruses with a partial duplication comprise the most frequent HMPV A sequences globally and have displaced other HMPV A viruses in Asia, Europe, and South America; no sequences of viruses with partial duplication have been reported in North America or Africa so far. Continued surveillance of HMPV is required to identify the emergence and spread of epidemiologically relevant variants.
Novel resilient compensator design for FDI attack mitigation on AGC system

ABSTRACT For proper functioning and stability of a power system, it is of utmost importance that the system frequency is kept within permitted operating limits using the Automatic Generation Control (AGC) else stability is compromised. This may lead to disruption of system operation and/or damage of the power grid equipment. The AGC system must be protected against false data injection (FDI) attacks as the information required by AGC is transmitted to the control centre by the means of communication links which are vulnerable against cyber-attacks. Hence, to overcome this issue a Generalized Extended State Observer (GESO) based resilient sliding mode compensator is developed in this paper. GESO is used for the purpose of detecting FDI attacks against the AGC system. In order to mitigate the effect of the FDI attack in the system, sliding mode compensator is utilised. It not only mitigates the effect of attacks but also allows the control centre to make its decision based on the uncompromised sensor signals instead of the compromised signals. The proposed method is subjected to a variety of FDI attacks and the simulation results confirm its competency to successfully detect, estimate and compensate for FDI attacks regardless of the effect of AGC nonlinearities.
The Effect of Celebrity Endorser Raffi Ahmad and Testimonial on Consumer Buying Interest of Lemonilo Products on Social Media

Humans become inseparable from communication technology, transferring and disseminating information via the internet and social media. Entrepreneurs are competing to create marketing communication strategies to attract the attention of potential consumers to product purchasing decisions. To increase consumer interest in buying products, it considers the quality of the product from consumers’ testimonials and programs that play a role in promoting the product to make them sell fast. In this study, the theory of SOR was used. This research aims to explore the influence of celebrity endorsers and testimonials on consumer buying interest in products offered on social media. The research method used quantitative explanatory research with a positivistic approach. The sampling technique is probability sampling, which is a random sampling technique. Data collection techniques were carried out through field research; a survey was conducted with help of questionnaires. The data analysis technique applied multiple linear regression data analysis, which analyzed the influence of celebrity endorser on the independent variables and testimonials on the dependent variable of consumer buying interest. The results showed that the attractiveness of celebgram or celebrity endorser Raffi Ahmad and testimonials had a positive effect on consumer buying interest in Lemonilo products and the contribution of influence posed by the attractiveness variable of celebrity endorser Raffi Ahmad and testimonials of purchase interest of Lemonilo products was 68.1%, while the remaining 31.9% was modified by other variables.
Quantitative proteomic sequencing of F1 hybrid populations reveals the function of sorbitol in apple resistance to Botryosphaeria dothidea

Abstract Apple ring rot, which is caused by Botryosphaeria dothidea, is one of the most devastating diseases of apple. However, the lack of a known molecular resistance mechanism limits the development of resistance breeding. Here, the ‘Golden Delicious’ and ‘Fuji Nagafu No. 2’ apple cultivars were crossed, and a population of 194 F1 individuals was generated. The hybrids were divided into five categories according to their differences in B. dothidea resistance during three consecutive years. Quantitative proteomic sequencing was performed to analyze the molecular mechanism of the apple response to B. dothidea infection. Hierarchical clustering and weighted gene coexpression network analysis revealed that photosynthesis was significantly correlated with the resistance of apple to B. dothidea. The level of chlorophyll fluorescence in apple functional leaves increased progressively as the level of disease resistance improved. However, the content of soluble sugar decreased with the improvement of disease resistance. Further research revealed that sorbitol, the primary photosynthetic product, played major roles in apple resistance to B. dothidea. Increasing the content of sorbitol by overexpressing MdS6PDH1 dramatically enhanced resistance of apple calli to B. dothidea by activating the expression of salicylic acid signaling pathway-related genes. However, decreasing the content of sorbitol by silencing MdS6PDH1 showed the opposite phenotype. Furthermore, exogenous sorbitol treatment partially restored the resistance of MdS6PDH1-RNAi lines to B. dothidea. Taken together, these findings reveal that sorbitol is an important metabolite that regulates the resistance of apple to B. dothidea and offer new insights into the mechanism of plant resistance to pathogens.
Predictors of Poor Outcome among Critically Ill COVID-19 Patients: A Nationally Representative Sample of the Saudi Arabian Population

The outbreak and continuing impact of COVID-19 have significantly increased the rates of hospitalization and admissions to intensive care units (ICU). This study evaluates clinical outcomes in critically ill patients and investigates variables tied to poor prognosis. A secondary database analysis was conducted to investigate the predictors of poor outcome among critically ill COVID-19 patients in Saudi Arabia. Multivariable logistic regression analysis was used to assess the association between various demographic characteristics, comorbidities, and COVID-19 symptoms and patients’ poor prognosis, as a composite outcome. A total of 2257 critically ill patients were identified (male (71.8%), and elderly (37.3%)). The mortality rate was 50.0%, and the composite poor outcome was 68.4%. The predictors of poor outcome were being elderly (OR = 4.79, 95%CI 3.19–7.18), obesity (OR = 1.43, 95%CI 1.1–1.87), having a severe or critical case at admission (OR = 6.46, 95%CI 2.34–17.8; OR = 22.3, 95%CI 11.0–45, respectively), and some signs and symptoms of COVID-19 such as shortness of breath, feeling fatigued or headache, respiratory rate ≥ 30/min, PaO2/FiO2 ratio < 300, and altered consciousness. In conclusion, identifying high-risk populations that are expected to have a poor prognosis based on their criteria upon admission helps policymakers and practitioners better triage patients when faced with limited healthcare resources.
Creativity of Foreign Languages Teachers in Ukrainian Higher Education Institutions: Empirical Data

: The study highlights the problem of creativity of foreign languages teachers of higher education as a powerful resource for self-realization and the development of the personality of higher education student. The research aims at describing the teachers’ creativity as their ability to creative non-standard thinking, to effectively solve complex problems of both professional activity and their own lives. The article highlighted the results of empirical research of value, cognitive and behavioural components and individual-psychological and organizational-professional factors of creativity of foreign language teachers. According to the results of ANOVA, there were established statistically signiﬁcant differences in the manifestations of creativity of foreign language teachers depending on their gender, age and organizational and professional characteristics. We offer the structure of the program of the development of creativity of the foreign languages teacher directed on the development of value, cognitive and behavioural components and individual-psychological and organizational-professional factors.
SCI Effects Under Complex Terrains: Shaking Table Tests and Numerical Simulation

ABSTRACT In densely-populated cities, complex site-city interaction (SCI) effects can occur and may result in non-negligible influences on the input motions to buildings. Due to its complexity, topographic amplification has not yet been considered in most SCI investigations, particularly in experimental tests. This study conducted seven sets of shaking table tests incorporating complex terrains. The SCI effects induced by different terrains, building frequencies, building configurations, and input motions were investigated. Based on the test results, the reliability of a previously proposed numerical coupling scheme was validated. Finally, through a parametric analysis and a case study, the SCI effects were further illustrated.
“What We Do Not Know About Smoking and COVID-19 Can Hunt Us Down”

In the COVID-19 pandemic, smoking is often overlooked, and it is widely abused by underserved populations. Drug addictions such as tobacco could influence future outcomes as they impact obstructive pulmonary and cardiovascular diseases that might prove long-lived and worsens the impact of COVID-19. Future studies need to focus on smoking related illness by COVID-19 patients.
Comparison of Student Learning Outcomes in Terms of ‘Digital Immigrant-Native’ Teachers Learning Methods

As technology continues to evolve, the gap between those who have grown up with technology (digital natives) and those who have not (digital immigrants) continues to widen. Therefore, this research aims to analyze the comparison of students learning outcomes taught by two different groups of teachers from different generation (digital native and digital immigrant). The subjects of this research were 10th-grade students in the Department of Computer and Network Engineering at Vocational High School. The total of the research respondents were 60 students. This research was using a quantitative approach with a comparative method. The data collected was the form of a questionnaire and a summary of the scores in the last semester. The results of the independent sample t-test obtained a Sig. (2-tailed) value of 0.065 > 0.05, so the decision making in the Independent Sample t-test, concluded that the null hypothesis (Ha) was accepted and the alternative hypothesis (Ha) rejected. Ho is a hypothesis which states that there is no correlation or influence between variables and other variables, while Ha is a hypothesis which states that there is a correlation or influence between variables and other variables. Based on the research result, it means that there is no difference in learning outcomes between students taught by digital immigrant teacher and digital native teacher. This research proves that digital native teachers and digital immigrant teachers are equally qualified.