Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydrogeothermal studies in the Albuquerque Basin--a geophysical investigation of ground water flow characteristics

Highly sensitive well logs that measure ground water temperature as a function of depth are an important geophysical tool for discerning ground water flow patterns. This study focuses on temperature data from wells in the Albuquerque Basin, including the Albuquerque metropolitan area. These temperature logs can provide insights that are not otherwise available, including the degree to which faults serve as either conduits for or barriers to ground water flow. Temperature data can also be used to identify (both shallow and deep) zones of ground water movement. From the data presented here the author draws some important conclusions regarding the rate at which water from the mountains to the east of the city recharge the basin aquifers, estimating that it can take hundreds to thousands of years for ground water to move from the Sandia Mountains to the Rio Grande. The study will be of interest to hydrologists and geohydrologists throughout the Southwest.
Quantum Computing to Study Cloud Turbulence Properties

The analysis and investigation of the data obtained from Direct Numerical (DNS) simulation of droplet dynamics in cloud turbulence is a complex and time-consuming task when performaed on traditional computers. The DNS data generally have, a high spatial resolution $\approx 1mm$ and require considerable space to store. It is tedious to find specific features of this data, such as locating high and low vortex areas in cloud turbulence using machine learning algorithms. In this research, we employ quantum computing to examine and analyze cloud droplet dynamics data and present a quantum supervised machine learning algorithm, namely, a support vector machine (SVM) to segregate low and high vortex regions and investigate the droplet characteristics in those regions. The result show that use of quantum computers can accelerate the entire process, and quantum mechanics tools, such as quantum kernels and quantum circuits can better manage the complex nature of data than traditional methods.
Influencing factors of quality of life among front-line nurses who collected nucleic acid samples during COVID-19: a path analysis

Aim The aim of this study is to investigate the quality of life of nurses who collected nucleic acid samples throughout the COVID-19 epidemic's routine management, as well as the factors that may have influenced it. Background After the outbreak of COVID-19, normalized epidemic prevention and control throughout China were implemented. Nucleic acid testing has become an effective measure for the early detection of virus-infected individuals. Nurses collecting nucleic acid samples undertake important tasks. Their quality of life is significant to maintaining team stability and containing the epidemic. However, research on their quality of life is still limited. Methods A cross-sectional survey was conducted on 1,292 nurses who collected nucleic acid samples from five tertiary general hospitals in Xi'an through self-reported electronic questionnaires (including general demographic information, the Connor–Davidson Resilience Scale, the Social Support Rating Scale, and the World Health Organization Quality of Life Brief Scale). Descriptive, one-way ANOVA and multiple linear regression were performed using SPSS 26.0. Structural equation modeling was used to analyze the influencing factors. Results The nurses collecting nucleic acid samples had a modest level of quality of life. Age, marital status, average daily sleep duration, frequency of exercise, psychological resilience, and social support were all influencing factors of quality of life, according to multiple linear regression analysis. Quality of life was found to be significantly related to psychological resilience and social support. Conclusion Demographic characteristics, psychological resilience, and social support are the factors affecting the quality of life of nurses who collect nucleic acid samples. Nursing managers should focus more on these factors to improve the quality of life for nurses. Relevance to clinical practice Nursing managers should realize the importance of the quality of life of nurses who collect nucleic acid samples in maintaining a vigorous nursing team and ensuring optimized epidemic control. Social support should also be provided to nurses to improve their psychological resilience, thereby improving their quality of life.
Polarizing Macrophage Functional Phenotype to Foster Cardiac Regeneration

There is an increasing interest in understanding the connection between the immune and cardiovascular systems, which are highly integrated and communicate through finely regulated cross-talking mechanisms. Recent evidence has demonstrated that the immune system does indeed have a key role in the response to cardiac injury and in cardiac regeneration. Among the immune cells, macrophages appear to have a prominent role in this context, with different subtypes described so far that each have a specific influence on cardiac remodeling and repair. Similarly, there are significant differences in how the innate and adaptive immune systems affect the response to cardiac damage. Understanding all these mechanisms may have relevant clinical implications. Several studies have already demonstrated that stem cell-based therapies support myocardial repair. However, the exact role that cardiac macrophages and their modulation may have in this setting is still unclear. The current need to decipher the dual role of immunity in boosting both heart injury and repair is due, at least for a significant part, to unresolved questions related to the complexity of cardiac macrophage phenotypes. The aim of this review is to provide an overview on the role of the immune system, and of macrophages in particular, in the response to cardiac injury and to outline, through the modulation of the immune response, potential novel therapeutic strategies for cardiac regeneration.
TPACK, Instructional Competence, and Teachers’ Attitude toward Internet Use: A Structural Equation Model in Readiness to Teach Online in Filipino

Aim: To investigate the best-fit model for teachers' readiness in online teaching using Structural Equation Modeling (SEM) to analyze the relationship between TPACK, instructional competence, and teachers' attitudes toward internet use. Study Design: Quantitative Causal Analysis. Place and Duration of Study: Region XII, Philippines, during the second semester 2022. Methodology: The stratified random sampling technique was utilized using Raosoft Application to select the 674 college teachers from various colleges and universities in Region XII. An expert-validated and pilot-tested survey questionnaire was used to collect the data. Moreover, statistical tools used for the study were mean, which described the levels of the variables; Standard Deviation (SD), which measured the dispersion of a frequency distribution; Multiple Regression, which identified significant predictors of readiness to teach online; and Pearson Product Moment correlation Coefficient, which determined the relationship of the variables. The Structural Equation Model (SEM) was also used to analyze multiple variables and their relationships. Results: The level of TPACK among teachers was very high, but compared to other exogenous variables, it was the lowest, which indicates that teachers are not fully proficient. Moreover, teachers' instructional competence level was very high, which implies that the variables were often observed among teachers. It also showed a significant relationship between the TPACK, instructional competence, and Attitude toward internet use toward readiness to teach online. The Attitude toward internet use and instructional competence influenced teachers' readiness to teach online, while TPACK did not influence teachers' willingness to teach online. Model 5 had consistent indices among the five investigated models and indicated the best fit for the data. The goodness of fit result was highly acceptable, as all the indices met the specified standards against the obtained fit value of the model. Conclusion: Teachers' levels of Technological Pedagogical Content Knowledge (TPACK) are low, suggesting they still need to be fully adept at using technology in the classroom. To improve readiness for online teaching, it is essential to consider teachers' attitudes toward internet use and TPACK integration into professional development programs. Model 5 offered the greatest fit for the data, suggesting authorities should take instructors' TPACK into account for training and knowledge updates in integrating technology into 21st-century teaching.
EFEITO DA PROCEDÊNCIA EM ALGUMAS PROPRIEDADES DA MADEIRA DE Gallesia integrifolia (Spreng.) Harms

A utilização de teste de procedência pode fornecer informações sobre o comportamento silvicultural de populações de uma determinada espécie, também permite a estimativa de parâmetros genéticos de características de interesse econômico, seleção de material genético para diferentes locais, exploração da variabilidade e a conservação da base genética para usos futuros. O objetivo deste trabalho foi estudar o efeito das procedências em propriedades da madeira de (pau d’alho). Mudas de três procedências (Bauru, Ribeirão Preto e Campinas) foram plantadas em Luiz Antônio–SP, utilizando-se seis repetições em delineamento experimental de blocos casualizados. Após 26 anos do plantio, abateram-se dezoito árvores, seis de cada procedência. As propriedades estudadas foram: densidade aparente, densidade básica, resistência à compressão paralela às fibras e retração volumétrica. De acordo com os resultados obtidos, pôde-se concluir que a procedência das sementes influenciou significativamente na densidade aparente, mas não interferiu nos demais parâmetros analisados.
Optics of Solar Concentrators. Part IV: Maps of Transmitted and Reflected Rays in 3D-CPCs

The transmission and reflection properties of nonimaging solar concentrators irradiated in direct mode by parallel light are investigated adopting original simulation methods. These methods were not limited to investigate useful properties for practical application of the concentrators, but were also used to study them as optical elements with specific transmission, absorption and reflection characteristics. In this work, we investigate the flux transmitted to the receiver and that back-reflected towards the entrance opening, by measuring the average number of reflections that the transmitted or reflected rays make on the internal wall of the concentrator. Results of this study are maps of the entrance opening, in which the different regions crossed by the transmitted or reflected rays are distinguishable and characterized by a different number of internal reflections. These maps are plotted for different values of the incidence angle of the parallel beam with respect to the optical axis of the concentrator. The presented simulation methods can be fruitfully applied to any other type of solar concentrator.
The Influence of School Location and Teacher Effectiveness on Academic Achievement among Secondary School Students in Kano State.

The main objective of this research was to find out the effect some environmental variables on academic achievement of rural and urban secondary schools students in Kano state. Ex post factor design was used in the study. The population of the study comprised the entire secondary comprised the entire secondary school students in Kano state, with a total population of 178,602 students. A sample of 384 students were randomly selected and used for the study. Questionnaire for students assessment of teachers effectiveness and academic achievement test in three core subjects i.e. Biology, English and mathematics were the instruments used for data collection, the reliability Co-efficient of the instrument for students assessment of teachers effectiveness was obtained using split half method with r=0.64 as in the case of academic achievement test in Biology, Mathematics and English the reliability of the test items stand at r=0.65, 0.67 and 0.69. Chi square and T test were used to analyze the data. The result of the analyses indicated that there is a significance difference in academic achievement between rural and urban students in Kano state. Also, the study revealed that teachers in rural areas were not willing to accept responsibilities. From the findings it was concluded that the variation in academic achievement was attributed to improper settlement of schools. Finally, it was recommended that there is the need for government, to provide rural environment with social amenities that boost the social well being of rural dwellers such as road, electricity water supply and provide rural environment with effective teachers that enhance students’ academic achievement .
STEREO Observations of Interplanetary Coronal Mass Ejections in 2007–2016

We have conducted a survey of 341 interplanetary coronal mass ejections (ICMEs) using STEREO A/B data, analyzing their properties while extending a Level 3 product through 2016. Among the 192 ICMEs with distinguishable sheath region and magnetic obstacle, the magnetic field maxima in the two regions are comparable, and the dynamic pressure peaks mostly in the sheath. The north/south direction of the magnetic field does not present any clear relationship between the sheath region and the magnetic obstacle. About 71% of ICMEs are expanding at 1 au, and their expansion speed varies roughly linearly with their maximum speed except for ICMEs faster than 700 km s−1. The total pressure generally peaks near the middle of the well-defined magnetic cloud (MC) passage, while it often declines along with the non-MC ICME passage, consistent with our previous interpretation concerning the effects of sampling geometry on what is observed. The hourly average iron charge state reaches above 12+ ∼31% of the time for MCs, ∼16% of the time for non-MC ICMEs, and ∼1% of the time for non-ICME solar wind. In four ICMEs abrupt deviations of the magnetic field from the nominal field rotations occur in the magnetic obstacles, coincident with a brief drop or increase in field strength—features could be related to the interaction with dust. In comparison with the similar phases of solar cycle 23, the STEREO ICMEs in this cycle occur less often and are generally weaker and slower, although their field and pressure compressions weaken less than the background solar wind.
Insights into Healthcare Professionals’ Perceptions and Attitudes toward Nanotechnological Device Application: What Is the Current Situation in Glioblastoma Research?

Nanotechnology application in cancer treatment is promising and is likely to quickly spread worldwide in the near future. To date, most scientific studies on nanomaterial development have focused on deepening the attitudes of end users and experts, leaving clinical practice implications unexplored. Neuro-oncology might be a promising field for the application of nanotechnologies, especially for malignant brain tumors with a low-survival rate such as glioblastoma (GBM). As to improving patients’ quality of life and life expectancy, innovative treatments are worth being explored. Indeed, it is important to explore clinicians’ intention to use experimental technologies in clinical practice. In the present study, we conducted an exploratory review of the literature about healthcare workers’ knowledge and personal opinions toward nanomedicine. Our search (i) gives evidence for disagreement between self-reported and factual knowledge about nanomedicine and (ii) suggests the internet and television as main sources of information about current trends in nanomedicine applications, over scientific journals and formal education. Current models of risk assessment suggest time-saving cognitive and affective shortcuts, i.e., heuristics support both laypeople and experts in the decision-making process under uncertainty, whereas they might be a source of error. Whether the knowledge is poor, heuristics are more likely to occur and thus clinicians’ opinions and perspectives toward new technologies might be biased.
Matrix approach to model matching of composite asynchronous sequential machines

Composite asynchronous sequential machines (ASMs) are studied by a matrix-based approach in this study. A composite ASM consists of several input/state asynchronous machines in a cascading fashion. By using the semi-tensor product method, the algebraic expression of composite ASMs is presented, based on which reachability of composite ASMs is investigated. Then, a necessary and sufficient condition for the existence of a controller for model matching is obtained and an algorithm to design the corresponding controller is established. Finally, an example is proposed to illustrate the effectiveness of the obtained results.
Can We Use Single‐Column Models for Understanding the Boundary Layer Cloud‐Climate Feedback?

This study explores how to drive Single‐Column Models (SCMs) with existing data sets of General Circulation Model (GCM) outputs, with the aim of studying the boundary layer cloud response to climate change in the marine subtropical trade wind regime. The EC‐EARTH SCM is driven with the large‐scale tendencies and boundary conditions as derived from two different data sets, consisting of high‐frequency outputs of GCM simulations. SCM simulations are performed near Barbados Cloud Observatory in the dry season (January–April), when fair‐weather cumulus is the dominant low‐cloud regime. This climate regime is characterized by a near equilibrium in the free troposphere between the long‐wave radiative cooling and the large‐scale advection of warm air. In the SCM, this equilibrium is ensured by scaling the monthly mean dynamical tendency of temperature and humidity such that it balances that of the model physics in the free troposphere. In this setup, the high‐frequency variability in the forcing is maintained, and the boundary layer physics acts freely. This technique yields representative cloud amount and structure in the SCM for the current climate. Furthermore, the cloud response to a sea surface warming of 4 K as produced by the SCM is consistent with that of the forcing GCM.
LIVED EXPERIENCE OF PATIENTS UNDERGOING HEMODIALYSIS.

Ms. Saroj L Shah 1 and Mrs. K. Chithra 2 . 1. M.Sc. Nursing final year, Teerthanker Mahaveer College of Nursing, TMU, Moradabad, U. P. 2. Assistant Professor, Teerthanker Mahaveer College of Nursing, TMU, Moradabad, U. P. . Manuscript Info Abstract . Manuscript History
Global existence for systems of nonlinear wave and klein-gordon equations with compactly supported initial data

We consider the Cauchy problem for coupled systems of nonlinear wave and Klein-Gordon equations in three space dimensions. The author previously proved the small data global existence for rapidly decreasing data under a certain condition on nonlinearity. In this paper, we show that we can weaken the condition, provided that the initial data are compactly supported.
Non-linear vibrational response of Ge and SiC membranes

Characterisation of membranes produced for use as micro-electro-mechanical systems using vibrational techniques can give a measure of their behaviour and suitability for operation in different environments. Two membranes are studied here: germanium (Ge) and cubic silicon carbide (3C-SiC) on a silicon (Si) substrate. When driven at higher displacements, the membranes exhibit self-protecting behaviour. The resonant vibration amplitude is limited to a maximum value of around 10 nm, through dissipation of energy via higher harmonic vibrations. This is observed for both materials, despite their different Young's moduli and defect densities.
Therapeutic Targeting of the GSK3β-CUGBP1 Pathway in Myotonic Dystrophy

Myotonic Dystrophy type 1 (DM1) is a neuromuscular disease associated with toxic RNA containing expanded CUG repeats. The developing therapeutic approaches to DM1 target mutant RNA or correct early toxic events downstream of the mutant RNA. We have previously described the benefits of the correction of the GSK3β-CUGBP1 pathway in DM1 mice (HSALR model) expressing 250 CUG repeats using the GSK3 inhibitor tideglusib (TG). Here, we show that TG treatments corrected the expression of ~17% of genes misregulated in DM1 mice, including genes involved in cell transport, development and differentiation. The expression of chloride channel 1 (Clcn1), the key trigger of myotonia in DM1, was also corrected by TG. We found that correction of the GSK3β-CUGBP1 pathway in mice expressing long CUG repeats (DMSXL model) is beneficial not only at the prenatal and postnatal stages, but also during adulthood. Using a mouse model with dysregulated CUGBP1, which mimics alterations in DM1, we showed that the dysregulated CUGBP1 contributes to the toxicity of expanded CUG repeats by changing gene expression and causing CNS abnormalities. These data show the critical role of the GSK3β-CUGBP1 pathway in DM1 muscle and in CNS pathologies, suggesting the benefits of GSK3 inhibitors in patients with different forms of DM1.
The effect of mobile-wallet service dimensions on customer satisfaction and loyalty: An empirical study

Abstract Electronic payment options have mostly superseded traditional cash payment methods. The growth of digital wallets, e-commerce, mobile payments, and other unusual payment methods has moved the global economy one step closer to a cashless society. Therefore, this study aims to understand how mobile-wallet service quality dimensions affect customer satisfaction and loyalty, as well as to explore users’ experiences with these wallets. The dimensions of the mobile wallet adopted were service quality, ease of use, usefulness, cost, and security. A quantitative approach was used, and a questionnaire was utilized and distributed based on a convenience sample of 557 respondents who were located in Jordan. The statistical techniques of AMOS and SPSS have been applied. The analysis results supported all the main hypotheses, arguing that mobile-wallet service quality leads to customer satisfaction and loyalty. Additionally, mobile wallet service dimensions have an impact on customer loyalty through customer satisfaction. Furthermore, it found that the perceived ease of use, perceived usefulness, and perceived security dimensions have no impact on customer satisfaction. Moreover, perceived ease of use and perceived security dimensions have no impact on customer loyalty. The study recommended the need for m-wallet providers to support m-wallets and other electronic services to enhance the possibility of good control over their technological tools to improve service quality, reduce costs, improve security, develop the relationship between the organization and its customers, and learn more about their desires and aspirations.