Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of the Components and Dimensions of Human Capital on Organizational Relations

Purpose: The aim of this paper was present components and dimensions of human capital terms impact on organizational relation. Theoretical framework: Many studies have dealt with the impact of human resources on the performance of organizations. In this paper, work has been done to study the dimensions of human capital and the way it affects organizational relations. Design/methodology/approach: The paper adopted the descriptive / exploratory approach, as an opinion questionnaire was designed specifically to find out the opinions of the scientific competencies of teachers and administrators at Al-Rafidain University College, where (100) opinion questionnaires were distributed. Findings: The most important conclusions are the evidence of the impact of human capital (components and dimensions) on organizational relations, at Al-Rafidain University College. Research, practical & Social implications: three dimensions used to human capital and for dimensions to organizational relation. Originality/value: the paper an contribution in field of the effects of human capital components on organizational relations in general and in the field of university education organizations, with the clarity of the impact of encouraging the Deanship of the College on the constituent aspects of human capital as well as aspects of dimensions
A Comparative Study on the Microstructures, Mineral Content, and Mechanical Properties of Non-Avian Reptilian Eggshells

Simple Summary Most previous studies on eggshell mechanics only focused on single species or taxa and often lacked a side-by-side comparison between eggshell microstructures, mineral content, and mechanical properties. However, those properties are essential to understanding amniotes’ ecology and evolution. Studies on non-avian reptilian eggshells are even more lacking than that of birds. In contrast to birds’ parental incubation, most reptilian eggs are hatched by environmental heat without parental care and are subjected to significant external disturbances. It is, however, still unclear whether reptilian eggshells have evolved different properties from birds due to their different incubation strategies. To fill this knowledge gap, we extend our previous work on bird eggs to cover various reptilian groups, including turtles, tortoises, crocodiles, and geckos, with 214 freshly laid eggs belonging to 16 species across three orders of Class Reptilia. This new result is compared to our previous work on birds and may shed new light on the correlation between eggshell properties and incubation strategies across a broader range of amniotic taxa (birds, crocodilians, turtles, tortoises, and geckos). Abstract We analyze 214 freshly laid eggs belonging to 16 species across three orders of Class Reptilia. Using mechanical compression tests, we measure each egg’s absolute stiffness (K, unit: N m−1) and relative stiffness (C number). The effective Young’s modulus, E, was obtained by combining experimental and numerical methods. The mineral (CaCO3) content was measured by acid–base titration, the microstructures by scanning electron microscopy (SEM), and the crystallography by electron backscatter diffraction (EBSD). We find that the C number of reptilian eggs is, on average, higher than that of bird eggs, indicating that reptilian eggs are stiffer with respect to the egg mass than birds. However, Young’s moduli of the reptilian eggshells (32.85 ± 3.48 GPa) are similar to those of avian eggshells (32.07 ± 5.95 GPa), even though those eggshells have different crystal forms, microstructures, and crystallography. Titration measurement shows that the reptilian eggshells are highly mineralized (>89% for nine Testudines species and 96% for Caiman crocodilus). Comparing the species with aragonite and calcite crystals, we find that calcite shells, including those of the Kwangsi gecko (inner part) and spectacled caiman (outer part), generally have larger grains than the aragonite ones. However, the grain size is not correlated to the effective Young’s modulus. Also, as measured by the C number, the aragonite shells are, on average, stiffer than the calcite ones (except for the Kwangsi gecko), primarily due to their thicker shells.
Human fall detection scheme based on YOLO visual recognition and embedded ARM architecture

This paper proposes a fall detection technology based on the YOLOv5s algorithm to solve the problem of hit injury. The method is designed based on the embedded ARM development board of Orange Pi Zero 2. The camera is used to collect human data in real-time, and algorithms train the collected data and are finally verified. The experimental results show that: (1) this method has a reasonable success rate of recognition for standing, walking, and falling, but the success rate of recognition for squatting needs to be improved; (2) Compared with the OpenPose algorithm, the YOLOv5 algorithm has better accuracy, precision, and average accuracy means, but the performance in recall rate is not very good.
An Update on COVID-19 Vaccination and Pregnancy

Pregnant women are more prone to experience severe COVID-19 disease, including intensive care unit (ICU) admission, use of invasive ventilation, extracorporeal membrane oxygenation (ECMO), and mortality compared to non-pregnant individuals. Additionally, research suggests that SARS-CoV-2 infection during pregnancy is linked to adverse pregnancy outcomes, such as preterm birth, preeclampsia, and stillbirth, as well as adverse neonatal outcomes, including hospitalization and admission to the neonatal intensive care unit. This review assessed the available literature from November 2021 to 19 March 2023, concerning the safety and effectiveness of COVID-19 vaccination during pregnancy. COVID-19 vaccination administered during pregnancy is not linked to significant adverse events related to the vaccine or negative obstetric, fetal, or neonatal outcomes. Moreover, the vaccine has the same effectiveness in preventing severe COVID-19 disease in pregnant individuals as in the general population. Additionally, COVID-19 vaccination is the safest and most effective method for pregnant women to protect themselves and their newborns from severe COVID-19 disease, hospitalization, and ICU admission. Thus, vaccination should be recommended for pregnant patients. While the immunogenicity of vaccination in pregnancy appears to be similar to that in the general population, more research is needed to determine the optimal timing of vaccination during pregnancy for the benefit of the neonate.
A Review of UAV Platforms for Autonomous Applications: Comprehensive Analysis and Future Directions

Unmanned aerial vehicles have evolved rapidly in the recent past for their widespread utilization for both commercial and military purposes. It is extremely desirable while designing unmanned aerial vehicles, to enable them to accomplish their tasks with little human intervention. To achieve full autonomy, an optimal and robust control algorithm that covers complete flight phases is needed. Being propriety in nature, very little information is available in the literature that encompasses all modalities related to UAV design and development. Literature is even more dreath when it comes to near-actual implementation of the developed strategies. This study provides a comprehensive and in-depth review of the most recent and state-of-the-art control and estimation techniques for UAVs, as well as an examination of the flight phases in which those controllers and estimators are utilized. This study also suggests UAV-related research that would improve the overall quality of UAV design and facilitate the transition from software simulations to hardware implementation. Through this paper, a comprehensive platform is established that not only examines the controller and state estimators used for the development of autonomous UAVs but also identifies and discusses the limitations of existing research. In conclusion, several practical implementation considerations and future research directions are proposed.
The E1a Adenoviral Gene Upregulates the Yamanaka Factors to Induce Partial Cellular Reprogramming

The induction of pluripotency by enforced expression of different sets of genes in somatic cells has been achieved with reprogramming technologies first described by Yamanaka’s group. Methodologies for generating induced pluripotent stem cells are as varied as the combinations of genes used. It has previously been reported that the adenoviral E1a gene can induce the expression of two of the Yamanaka factors (c-Myc and Oct-4) and epigenetic changes. Here, we demonstrate that the E1a-12S over-expression is sufficient to induce pluripotent-like characteristics closely to epiblast stem cells in mouse embryonic fibroblasts through the activation of the pluripotency gene regulatory network. These findings provide not only empirical evidence that the expression of one single factor is sufficient for partial reprogramming but also a potential mechanistic explanation for how viral infection could lead to neoplasia if they are surrounded by the appropriate environment or the right medium, as happens with the tumorogenic niche.
Particles Morphology of Mechanically Generated Oil Mist Mixtures of SAE 40 Grade Lubricating Oil with Diesel Oil in the Context of Explosion Risk in the Crankcase of a Marine Engine

This article presents research results on mechanically generated oil mists. The research was carried out for oil mixtures for the Agip/Eni Cladium 120 SAE 40 API CF oil for industrial and marine engines diluted with diesel oil Orlen Efecta Diesel Bio at diesel oil concentrations of 2%, 5%, 10%, 20%, and 50% m/m. Pure lubricating oil and pure diesel oil were also tested. Droplet size distributions were determined for the reference moment at which residual discrepancies R between the measurement data and the sprayed pure diesel oil calculation model obtained the lowest value. For mechanically generated oil mists, the light transmission coefficient through the oil mist T, the specific surface area of the oil mist SSA, and the volumetric share of drops DV(V%) for 10%, 50%, and 90% of the total volume of the generated oil mist were determined. The span of the volumetric distributions of droplet sizes SPAN, Sauter mean diameter D[3,2], De Brouckere mean diameter D[4,3], the volumetric and mass percentage of droplets with diameters ≤5 μm (diameters necessary for a crankcase explosion), the minimum difference between the measurement results, and the calculation model used by the residual error measuring device were determined. The best fit in each measurement cycle (the smallest R value was analyzed. For specific indicators, correlations with diesel oil levels in the mixture were determined using the Pearson rXY linear correlation coefficient. Those results confirmed an increase in smaller-diameter droplets, an increase in the number of droplets with diameters up to 5 μm, and an increase in the span of the oil mist droplet diameter distribution with additional diesel oil. This confirmed a relationship between an increased lubricating oil dilution and an increased explosion risk in the crankcase.
Efficient Mesh Deformation for Computational Stability and Control Analyses on Unstructured Viscous Meshes

This paper documents the initial development results of an efficient mesh deformation technique to support the modeling of elastic aircraft with traditional aircraft control surfaces in high-fidelity computational fluid dynamics (CFD) simulations on unstructured meshes. Even though unsteady Navier-Stokes simulations of full-scale aircraft are routinely computed on meshes with tens of millions cells to support current stability and control analyses, these simulations still take on the order of days to complete on state of the art computing clusters. Thus, as multi-disciplinary simulations incorporating CFD solutions are applied to full aircraft configurations, it is imperative that the supporting mesh deformation schemes are extremely efficient and robust. The techniques developed here are based on localized, algebraic-deformation schemes. These types of schemes are known to be computationally cheap but commonly suffer from robustness issues, especially when applied to flight Reynold’s number viscous meshes where some element aspect ratios are on the order of one million. To alleviate these issues, a two-phased approach is used where a “viscous layer” of grid nodes is moved rigidly with the deforming boundary surface, and a separate scheme is used for the remaining nodes in the outer region. A modified surface influence scheme is investigated for the outer region deformation as well as a modification of a scheme based on mapping nodes in a Delaunay triangulation between the deforming boundary and the farfield. The mesh deformation schemes are applied to a flapped 2D NACA airfoil and a conventional aileron on a NACA 0015 wing. The computational efficiency of the technique is discussed, and qualitative comments are made regarding the mesh cell quality throughout the full range of boundary motions. The associated benefits regarding a-priori exercising of the computational grid are also discussed.
A Tutorial on the Basics of Time-Varying Electromagnetic Systems and Circuits: Historic overview and basic concepts of time-modulation

During the last decade, possibilities to realize new phenomena and create new applications by varying system properties in time have gained increasing attention in many research fields. Although the interest in using time-modulation techniques for engineering electromagnetic (EM) response has become revitalized only in recent years, the field originates from the middle of the previous century, and a multitude of works have been published ever since. In this tutorial article, we provide a historical picture and review the basic concepts in this field. In particular, we introduce the general theory of linear time-varying (LTV) systems and discuss the means to properly account for frequency dispersion of nonstationary systems. Also, we elucidate models of time-varying electrical circuits and materials and discuss some useful effects that can be achieved by time modulation of circuit or material parameters.
The Impact of Influence Aspects of Work and Organizational Commitment on Employee Life Satisfaction

Life satisfaction is an important thing for workers and companies, if life satisfaction is not fulfilled it will have an unfavorable impact. A good workplace experience results in an optimistic psychology and produces a high sense of happiness, and has an impact on life satisfaction. In the spillover theory, it is found that the influence aspect of work is determined by the surrounding environment. This research was conducted on Domestic Container Terminal workers in Indonesia. Where the sampling used is purposive sampling method with the criteria of employees who have a working period of more than 2 years. Data acquisition using survey methods, by means of questionnaire data distributed online using Google-form with Whatsapp social media. This study used a sample of 245 respondents with a total of 49 items. The results of the study can be used by companies, namely how to maintain the life satisfaction of workers, so that workers continue to get positive spillovers which can directly help the company to achieve the set targets. With this, employers can make future strategies in the field of Human Resources related to how to increase bonding with workers so that harmony between employers and workers is well created, one of which is by the way companies must pay attention to job stress experienced by workers by providing opportunities for workers to be involved in the organization, then providing work motivation by providing promotion and career development opportunities. It can be interpreted that everything leads to worker life satisfaction so that it can have a positive impact on individuals and organizations.
Wealth Status and Health Insurance Enrollment in India: An Empirical Analysis

Since 2005, health insurance (HI) coverage in India has significantly increased, largely because of the introduction of government-funded pro-poor insurance programs. As a result, the determinants of HI enrollment and their relative importance may have changed. Using National Family Health Survey (NFHS)-4 data, collected in 2015–2016, and employing a Probit regression model, we re-examine the determinants of household HI enrollment. Then, using a multinomial logistic regression model, we estimate the relative risk ratio for enrollment in different HI schemes. In comparison to the results on the determinants of HI enrollment using the NFHS data collected in 2005–2006, we find a decrease in the wealth gap in public HI enrollment. Nonetheless, disparities in enrollment remain, with some changes in those patterns. Households with low assets have lower enrollments in private and community-based health insurance (CBHI) programs. Households with a higher number of dependents have a higher likelihood of HI enrollment, especially in rural areas. In rural areas, poor Scheduled Caste and Scheduled Tribe households are more likely to be enrolled in public HI than the general Caste households. In urban areas, Muslim households have a lower likelihood of enrollment in any HI. The educational attainment of household heads is positively associated with enrollment in private HI, but it is negatively associated with enrollment in public HI. Since 2005–2006, while HI coverage has improved, disparities across social groups remain.
Key synoptic-scale features influencing the high-impact heavy rainfall in Beijing, China, on 21 July 2012

This work examined quantitatively the key synoptic features influencing the high-impact heavy rainfall event in Beijing, China, on 21 July 2012 using both correlation analysis based on global ensemble forecasts (from TIGGE) and a method previously used for observation targeting. The global models were able to capture the domain-averaged rainfall of >100 mm but underestimated rainfall beyond 200 mm with an apparent time lag. In this particular case, the ensemble forecasts of the National Centres for Environmental Prediction (NCEP) had apparently better performance than those of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the China Meteorological Administration (CMA), likely because of their high accuracies in capturing the key synoptic features influencing the rainfall event. Linear correlation coefficients between the 24-h domain-averaged precipitation in Beijing and various variables during the rainfall were calculated based on the grand ensemble forecasts from ECMWF, NCEP and CMA. The results showed that the distribution of the precipitation was associated with the strength and the location of a mid-level trough in the westerly flow and the associated low-level low. The dominant system was the low-level low, and a stronger low with a location closer to the Beijing area was associated with heavier rainfall, likely caused by stronger low-level lifting. These relationships can be clearly seen by comparing a good member with a bad member of the grand ensemble. The importance of the trough in the westerly flow and the low-level low was further confirmed by the sensitive area identified through sensitivity analyses with conditional nonlinear optimal perturbation method.
Moderation Effect of Interest in Purchase of Non-Subsidy Fertilizer

Purpose: Companies distributing non-subsidized fertilizers should pay attention to farmers' buying interest to optimize the variables influencing purchasing decisions. Theoretical framework: Efforts to market non-subsidized fertilizer products require the right strategy, including those related to price, product quality, and promotion, to attract potential buyers and purchase products as consumers from the company. Design/methodology/approach: This study analyses the direct effect of price, product quality, and promotion on purchasing decisions at the Mega Eltra Makassar branch company and the moderating effect of the purchase intention variable. This quantitative research uses questionnaires to 200 respondents whose data were processed using SmartPLS 4. Findings: The results showed that price and promotion directly or moderated by purchase intention could not significantly influence consumer purchasing decisions for non-subsidized fertilizers. Product quality directly affects the decision to buy non-subsidized fertilizers; however, it is not significant if buying interest is a moderating variable. Research, Practical & Social implications: Consumers of non-subsidized fertilizer Mega Eltra Makassar company Branch is the population in this study whose details cannot be known with certainty because the records at the company only include the number of products sold and their turnover. Originality/value: This study concludes that the quality of the fertilizer influences the decision to purchase non-subsidized fertilizer from farmers compared to the offer or promotion price. Interest in buying non-subsidized fertilizers still needs to guarantee the purchase decision-making process.
Behavioral Reactions to Job Insecurity Climate Perceptions: Exit, Voice, Loyalty, and Neglect

Past work has extensively documented that job insecurity predicts various work- and health-related outcomes. However, limited research has focused on the potential consequences of perceived job insecurity climate. Our objective was to investigate how the psychological climate about losing a job and valuable job features (quantitative and qualitative job insecurity climate, respectively) relate to employees’ exit, voice, loyalty, and neglect behaviors, and whether such climate perceptions explain additional variance in these behaviors over individual job insecurity. Data were collected through an online survey using a convenience sample of employees working in different organizations in Türkiye (N = 245). Hierarchical multiple regression analyses showed that quantitative job insecurity climate was associated with higher levels of loyalty and neglect, while qualitative job insecurity climate was related to higher levels of exit and lower levels of loyalty. Importantly, job insecurity climate explained additional variance over individual job insecurity in exit and loyalty. Our findings underscore the importance of addressing job insecurity in a broader context regarding one’s situation and the psychological collective climate. This study contributes to addressing the knowledge gap concerning job insecurity climate, an emerging construct in the organizational behavior literature, and its incremental impact beyond individual job insecurity. The foremost implication is that organizations need to pay attention to the evolving climate perceptions about the future of jobs in the work environment, because such perceptions are related to critical employee behaviors.
A Matric General Solution of Linear Difference Equations with Constant Coefficients

Linear difference equations with constant coefficients have been used for many years in various disciplines, and a general method of solution has become well known. In this paper an alternative general solution is presented; a statement of the linear difference equations system in terms of linear vector spaces then follows naturally from the alternative solution. The special case of the second-order linear difference equation is considered first, not merely because it is a simple case but also because it is a form which has many applications in the social sciences, especially in economics and psychology. 1. The Second-Order Linear Difference Equation. -The homogen-ous portion of the second-order linear difference equation