Miracle-dz/UniFAR-FTUs huggingface dataset:
The Molecular ISM of Quasar Host Galaxies in the Early Universe

Detailed studies of the molecular gas phase in the host galaxies of the highest redshift quasars are important for our understanding of the formation and evolution of quasars and their bulges, since the molecular gas is the prerequisite material for star formation. This investigation capitalizes on state-of-the-art observations in the radio/millimeter wavelength regime to study the key properties of the molecular interstellar medium in some of the most distant, gas-rich quasars. To search for evolutionary, luminosity-dependent, or galaxy type-dependent trends in the conditions under which star formation takes place, results are interpreted in the context of studies of nearby galaxies and high redshift galaxy populations. From the first high-resolution CO(J=1→0) spectroscopy of high-z quasars, the total molecular gas mass of their host galaxies is determined. By more than doubling the number of molecules known in the distant universe [from 2 (CO/HCN) to 5], it is found that multiple molecular probes of dense gas predict similar star formation rates within the dense molecular regions of high redshift galaxies, out to the first 2Gyr after the Big Bang. Together with other studies, these results indicate an increase in star formation efficiency toward the most luminous distant gas-rich systems, possibly due to a higher median gas density. In a connected, time consuming interferometric study, the host galaxies of three z>4 quasars are resolved, for the first time, both spatially (at up to 0.15", or 1.0 kpc) and in velocity space, revealing that the molecular reservoirs show a wealth of morphologies. The derived dynamical masses are large enough to account for both the central supermassive black holes and the full reservoirs of molecular gas, but do not leave much room for a stellar bulge as predicted by the local relation between black hole mass and bulge velocity dispersion. Quasar host galaxies are thus prime laboratories to study the coevolution of supermassive black holes and the extreme starbursts hosted by the molecular environments at early cosmic epochs. The observations presented here thus provide an important foundation for future studies of normal galaxies at high redshifts with the Atacama Large Millimeter Array (ALMA).
Partial ordering of dissimilarity measures for gene clustering

Clustering methods are widely used in the analysis of microarray data for their ability to discover co--regulated genes. In a previous work we introduced, in a hierarchical clustering context, a theoretical framework for the comparison of dissimilarity measures on the basis of their ability to identify functional modules consisting of a transcription factor and the associated target genes. In this paper we extend these results by including in the analysis a set of dissimilarity measures based on the "1 - absolute value of correlation coefficient" proximity between genes. We show that such theoretical framework allows one to obtain a partial ordering of the considered measures in which we identify three minimal elements that are then compared on the basis of both simulated and real data.
Effect of State Feedback Coupling on the Design of Voltage Source Inverters for Standalone Applications

This Ph.D. thesis aims at investigating the effect of state feedback cross‐coupling decoupling of the capacitor voltage on the dynamics performance of Voltage Source Inverters for standalone microgrids/Uninterruptible Power Supply systems. Computation and PWM delays are the main factors which limit the achievable bandwidth of current regulators in digital implementations. In particular, the performance of state feedback decoupling is degraded because of these delays. Two decoupling techniques aimed at improving the transient response of voltage and current regulators are investigated, named nonideal and ideal capacitor voltage decoupling respectively. In particular, the latter solution consists in leading the capacitor voltage on the state feedback decoupling path in order to compensate for system delays. Practical implementation issues are discussed with reference to both the decoupling techniques. Moreover, different resonant regulators structures for the inner current loop are analysed and compared to investigate which is the most suitable for standalone microgrid applications. A design methodology for the voltage loop, which considers the closed loop transfer functions developed for the inner current loop, is also provided. Proportional resonant voltage controllers tuned at specific harmonic frequencies are designed according to the Nyquist criterion taking into account application requirements. For this purpose, a mathematical expression based on root locus analysis is proposed to find the minimum value of the resonant gain at the fundamental frequency. The exact model of the output LC filter of a three‐phase inverter is derived in the z‐domain. The devised formulation allows the comparison of two techniques based on a lead compensator and Smith predictor structure. These solutions permit the bandwidth of the current regulator to be widened while still achieving good dynamic performance. As a consequence, the voltage regulator can be designed for a wide bandwidth and even mitigates odd harmonics arising with unbalance loads supply. Discrete‐time domain implementation issues of an anti‐wind up scheme are discussed as well, highlighting the limitations of some discretization methods. Experimental tests performed in accordance to Uninterruptible Power Supply standards verify the theoretical analysis.
Induced strain actuation of composite beams and rotor blades with embedded piezoceramic elements

The objective of this research is to develop a dynamically scaled (Froude scale) helicopter rotor blade with embedded piezoceramic elements as sensors and actuators to control blade vibrations. A 6-ft-diameter two-bladed bearingless rotor model was built, where each blade is embedded with banks of piezoelectric actuators at +/- 45-degree angles with respect to the beam axis on the top and bottom surfaces. A twist distribution along the blade span is achieved through in-phase excitation of the top and bottom actuators at equal potentials, while a bending distribution is achieved through out-of-phase excitation. In order to fix design variables and to optimize blade performance, a uniform strain beam theory is formulated to analytically predict the static bending and torsional response of composite rectangular beams with embedded piezoelectric actuators. Parameters such as bond thicknesses, actuator skew angle, and actuator spacing are investigated by experiments and then validated by theory. The static bending and torsional response of the rotor blades is experimentally measured and correlated with theory. Dynamic torsional and bending responses are experimentally determined for frequencies from 2-120 HZ to assess the viability of a vibration reduction system based on piezoactuation of blade twist. Although the magnitudes of blade twist attained in this experiment were small, it is expected that future models can be built with improved performance.
Green synthesis of biocompatible core–shell (Au–Ag) and hybrid (Au–ZnO and Ag–ZnO) bimetallic nanoparticles and evaluation of their potential antibacterial, antidiabetic, antiglycation and anticancer activities

The fabrication of bimetallic nanoparticles (BNPs) using plant extracts is applauded since it is an environmentally and biologically safe method. In this research, Manilkara zapota leaf extract was utilized to bioreduce metal ions for the production of therapeutically important core–shell Au–Ag and hybrid (Au–ZnO and Ag–ZnO) BNPs. The phytochemical profiling of the leaf extract in terms of total phenolic and flavonoid content is attributed to its high free radical scavenging activity. FTIR data also supported the involvement of these phytochemicals (polyphenols, flavonoids, aromatic compounds and alkynes) in the synthesis of BNPs. Whereas, TEM and XRD showed the formation of small sized (16.57 nm) spherical shaped core–shell Au–Ag BNPs and ZnO nano-needles with spherical AuNPs (48.32 nm) and ZnO nano-rods with spherical AgNP (19.64 nm) hybrid BNPs. The biological activities of BNPs reinforced the fact that they show enhanced therapeutic efficacy as compared to their monometallic components. All BNPs showed comparable antibacterial activities as compared to standard tetracycline discs. While small sized Au–Ag BNPs were most effective in killing human hepato-cellular carcinoma cells (HepG2) in terms of lowest cell viability, highest intracellular ROS/RNS production, loss of mitochondrial membrane potential, induction of caspase-3 gene expression and enhanced caspase-3/7 activity. BNPs also effectively inhibited advanced glycation end products and carbohydrate digesting enzymes which can be used as a nano-medicine for aging and diabetes. The most important finding was the permissible biocompatibility of these BNPs towards brine shrimp larvae and human RBCs, which suggests their environmental and biological safety. This research study gives us insight into the promise of using a green route to synthesize commercially important BNPs with enhanced therapeutic efficacy as compared to conventional treatment options.
A mediation moderation conceptual model of inclusive leadership, psychological contract fulfilment and government support on total quality management–patient safety relationship

This paper aim to assess the direct effect of total quality management (TQM) on patient safety (PAT), exploring the mediating roles of inclusive leadership (ILD) and psychological contract fulfilment (PCF), and the boundary effect of government support (GOV). The paper develops a conceptual framework along with suppositions by integrating both empirical and theoretical literature in the fields of healthcare strategic management, leadership, industrial and organisational psychology and finance. This paper proposes that TQM will be positively related to PAT, and this positive relationship will be mediated by ILD and PCF. Additionally, government support (GOV) will moderate the direct positive effect of TQM on PAT. This paper provides implications for both researchers and practitioners in the areas of strategic decision-making in healthcare for enhancing PAT by applying TQM, ILD, PCF and GOV as strategic tools. It also provides implications for upcoming researchers to empirically test this conceptual framework in different healthcare settings.
Promoting University Students’ Mental Health through an Online Multicomponent Intervention during the COVID-19 Pandemic

The mental health of university students is a serious public health issue. The alarming trend of high levels of untreated psychological distress observed during the COVID-19 pandemic highlights the need for prevention programs. Digital tools are a promising means of delivering such programs. Web-based programs are acceptable and effective at improving mental health problems and general mental well-being. However, the usefulness of such digital prevention approaches to address the multiple issues raised by the COVID-19 pandemic needs to be tested. The current study assessed the effectiveness of an 8-week online intervention, integrating a variety of evidence-based strategies for improving French university students’ mental health. Students were assigned to: (1) the online self-help program ETUCARE (n = 53), or (2) the control condition (n = 50). All the participants completed pre- and post-intervention questionnaires that assessed mental health problems and psychological well-being. The findings revealed that, compared to the control group, participation in the online program was associated with higher levels of psychological well-being post-test and fewer clinical symptoms of psychological distress, anxiety, and alcohol consumption. These preliminary findings suggest that the ETUCARE program is a promising multicomponent intervention to buffer the mental health consequences of the COVID-19 pandemic in French university students.
Additions to the Mastogloia (Bacillariophyceae: Mastogloiales) of the Revillagigedo Archipelago, Mexico

Certain diatom species, mainly those that are conspicuous within an assemblage, may constitute useful references while addressing various ecological and biogeographical issues. This may well be the case with Mastogloia species which are frequently the most diverse diatom taxa in benthic marine assemblages from warm seas. Twenty three new records of Mastogloia taxa collected from several thalli of red and brown macroalgae are here added to the epiphytic diatom floristics of the Revillagigedo Archipelago, summing a total of 51 Mastogloia taxa. Most conspicuous forms were frequent, and several taxa seemed to dominate the assemblages, e.g., Mastogloia binotata, M. cocconeiformis, M. cuneata, M. fimbriata, M. inaequalis, M. ovum-paschale, and M. punctatissima, as well as others recorded earlier. Of the new records, M. asperuloides, M. graciloides, M. peragalloi, and M. mauritiana also appeared frequently. The list includes 8 new records for Mexican waters, although no new taxa for this genus were found. However, because of the few macroalgae thalli inspected, it is expected that further inspection of surfaces of other species of macroalgae, and other substrates, will increase the species richness of Mastogloia recorded for the archipelago.
A Critical Analysis of David and Goliath in Picturebooks

The story of David and Goliath is a popular and often referenced narrative. This study examined how contemporary authors and illustrators depict this ancient narrative in children's picturebooks. Using selection criteria determined by the researchers, 26 picturebooks were compared with the English Standard Version (ESV) of the ancient text. Content analysis and a constant comparative coding process were employed which revealed many consistencies between the biblical passage and modern picturebooks. The analysis also revealed major modifications, omissions, and additions to the retelling of the ancient text. Suggestions for selecting picturebooks with faithful representation of the narrative are included.
Prevalence of Dyslipidemia in Military Students and Military Personnel Attending Primary Care in Ecuador and Correlation with Anthropometric Values

Objective: to establish the prevalence of dyslipidemia and its relationship with the body mass index, waist-height index and waist circumference in students of the higher technology specialization in military sciences, as well as military personnel who work at the University of the Armed Forces of Ecuador - ESPE. Methodology: this was an analytical, non-experimental study with a sample of 495 second-year students of the Superior Technology Specialization in Military Sciences and 196 military personnel who work at ESPE.Results: The study found 8,48 % (n: 42) prevalence of general dyslipidemia in students, differentiated by hypercholesterolemia 1,82 % (n: 9), hypertriglyceridemia 6,26 % (n: 31) and mixed dyslipidemia 0,4 % (n: 2). Additionally, it found 58,67 % (n: 115) prevalence of general dyslipidemia in professional military personnel, with hypercholesterolemia 9,18 % (n: 18), hypertriglyceridemia 25,51 % (n: 50) and mixed dyslipidemia 23,98 % (n: 47). Finally, the lower limit to diagnose dyslipidemia for body mass index in students was 25,67 kg/m2, for waist circumference 76,5 cm and for waist height ratio 0,47, and in professional military personnel, body mass index of 26,3 kg/m2, waist circumference of 86 cm and waist height ratio of 0,52. Conclusions: the students and military personnel studied have a significantly low prevalence of dyslipidemia compared to the general student and military personnel population and the values of WC and WHtR were seen to be good predictors of dyslipidemia in military personnel but not in the students.
Hindrance in Safety Management Practices in The Construction of Infrastructure Projects

Safety management is one of the safety frameworks that can be applied in construction industry to mitigate the occurrence of accidents and reducing the fatality rate among construction workers. However, data in 2020 shows that there were 206 cases of reported accidents in the construction industry in Malaysia, from January to December 2020. The increasing number of accidents in infrastructure projects involving construction workers has been around for a long time even though the safety management system had been implemented. Thus, the objective of this research is to determine the hindrance factors in safety management practices in the construction of infrastructure projects. A total of 205 questionnaire surveys were distributed to the safety officers who work at G7 contractor specialise in infrastructure projects in Kuala Lumpur area using a snow-balling data collection method. The result revealed that the tight project schedule, poor participation in the safety management practices and poor safety culture are the significant factors that hinders the safety management practices. While lack of motivation among workers is the least important factor that hinder the safety management practices. Thus it is hoped that by tackling and solving these issues may improve the safety management practices, and indirectly reducing the number of accidents and fatalities on the construction site.
Fuzzy control for vehicle status estimation considering roll stability and its application in target recognition of automobile cruise system

In order to resolve the goal confusion or missing on curve road, a target recognition method on automobile cruise system is put forward based on filtering and fuzzy control theory. A vehicle model with 3 degrees of freedom on the yaw rate, sideslip angle, and body roll angle is discretized and an extended Kalman filter is proposed for estimating the road curvature. For the key target on the straight road, a multi-object changing-lane fuzzy controller is presented to prejudge the dangerous changing-lane objects. For the recognition of key target on the curve road, a recognition model is set up to calculate the lateral offset between the estimated road curvature radius and the target trajectory radius. In order to validate the feasibility of the key target recognition method, the simulation cases are given for multi-objects on the curve road and straight road adopting Carsim and MATLAB/Simulink co-simulation. The simulation results show that designed fuzzy controller has good robustness for prejudging the dangerous changing-lane objects on straight road. The extended Kalman filter has realized the efficient estimation on road curvature and the recognition model has identified the key target accurately to prevent the goal confusion or missing on curve road. The research results can offer the theory reference for improving or perfecting the control performances of automobile intelligent cruise system.
Singularity theorems and the abstract boundary construction

The abstract boundary construction of Scott and Szekeres has proven a practical classification scheme for boundary points of pseudo-Riemannian manifolds. It has also proved its utility in problems associated with the re-embedding of exact solutions containing directional singularities in space-time. Moreover it provides a model for singularities in space-time — essential singularities. However the literature has been devoid of abstract boundary results which have results of direct physical applicability. This thesis presents several theorems on the existence of essential singularities in space-time and on how the abstract boundary allows definition of optimal embeddings for depicting space-time. Firstly, a review of other boundary constructions for space-time is made with particular emphasis on the deficiencies they possess for describing singularities. The abstract boundary construction is then pedagogically defined and an overview of previous research provided. We prove that strongly causal, maximally extended space-times possess essential singularities if and only if they possess incomplete causal geodesics. This result creates a link between the Hawking-Penrose incompleteness theorems and the existence of essential singularities. Using this result again together with the work of Beem on the stability of geodesic incompleteness it is possible to prove the stability of existence for essential singularities. Invariant topological contact properties of abstract boundary points are presented for the first time and used to define partial cross sections, which are an generalization of the notion of embedding for boundary points. Partial cross sections are then used to define a model for an optimal embedding of space-time. Finally we end with a presentation of the current research into the relationship between curvature singularities and the abstract boundary. This work proposes that the abstract boundary may provide the correct framework to prove curvature singularity theorems for General Relativity. This exciting development would culminate over 30 years of research into the physical conditions required for curvature singularities in space-time.
Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework

Simple Summary Radiogenomics is a relatively new advancement in the understanding of the biology and behaviour of cancer in response to conventional treatments. One of the most terrible types of cancer, brain cancer, must be targeted in light of the current advancements in therapies. Even though several recent studies on brain cancer have shown promising outcomes when employing the radiogenomics concept, a cutting-edge review of research has been required. In this research review, we provide a 360-degree aspect of brain tumor diagnosis and prognosis employing the new era technology of radiogenomics. The review provides information to the reader about the various aspects that should be considered as accomplishments, opportunities, and limitations in the current therapeutic procedures. Abstract Brain tumor characterization (BTC) is the process of knowing the underlying cause of brain tumors and their characteristics through various approaches such as tumor segmentation, classification, detection, and risk analysis. The substantial brain tumor characterization includes the identification of the molecular signature of various useful genomes whose alteration causes the brain tumor. The radiomics approach uses the radiological image for disease characterization by extracting quantitative radiomics features in the artificial intelligence (AI) environment. However, when considering a higher level of disease characteristics such as genetic information and mutation status, the combined study of “radiomics and genomics” has been considered under the umbrella of “radiogenomics”. Furthermore, AI in a radiogenomics’ environment offers benefits/advantages such as the finalized outcome of personalized treatment and individualized medicine. The proposed study summarizes the brain tumor’s characterization in the prospect of an emerging field of research, i.e., radiomics and radiogenomics in an AI environment, with the help of statistical observation and risk-of-bias (RoB) analysis. The PRISMA search approach was used to find 121 relevant studies for the proposed review using IEEE, Google Scholar, PubMed, MDPI, and Scopus. Our findings indicate that both radiomics and radiogenomics have been successfully applied aggressively to several oncology applications with numerous advantages. Furthermore, under the AI paradigm, both the conventional and deep radiomics features have made an impact on the favorable outcomes of the radiogenomics approach of BTC. Furthermore, risk-of-bias (RoB) analysis offers a better understanding of the architectures with stronger benefits of AI by providing the bias involved in them.