Miracle-dz/UniFAR-FTUs huggingface dataset:
Urinary Tract Infections and Associated Factors among Patients with Indwelling Urinary Catheters Attending Bugando Medical Centre a Tertiary Hospital in Northwestern Tanzania

Complications of indwelling urinary catheterization (IUC) are associated with significant morbidity and mortality, thus affecting patient’s well-being. Understanding the magnitude and factors associated with complications is crucial in designing appropriate preventive strategies. A cross-sectional study was conducted at Bugando Medical Centre, involving patients with long-term and short-term IUC from December 2016 to September 2017. The data were analyzed by STATA 13.0. Catheter-associated urinary tract infection (CA-UTI) was the leading (56.8%; 250/440) complication among patients with IUC. Gram-negative bacteria were predominantly isolated (98.1%, 252/257), whereas E. coli (30.7%, 79/257) and Klebsiella spp. (29.6%, 76/257) were the leading pathogens. CA-UTI was significantly higher among out-patients than in-patients (82.2% v 35.3%, p < 0.001). Older age (OR: 1.3, (95%CI: 1.1–1.5), p < 0.001), level of education (OR: 1.8, (95%CI: 1.1–3.1), p = 0.029) and catheter duration of ≥6 weeks (OR: 2.43, (95%CI: 1.1–5.5), p = 0.031) independently predicted CA-UTI among outpatients, while female gender (OR: 2.1, (95%CI: 1.2–3.7), p = 0.014), catheter bags not freely hanging (OR: 0.4, (95%CI: 0.2–0.7), p = 0.002) and residing outside Mwanza region (OR: 0.4, (95%CI: 0.2–0.6), p < 0.001) predicted CA-UTI among in-patients. CA-UTI is the common complication among patients with IUC, significantly higher in out-patients than in-patients. We recommend involving patients and carers in infection prevention and control measures in out-patients living with IUC.
An Umbrella Review of Systematic Reviews and Meta-Analyses Evaluating the Success Rate of Prosthetic Restorations on Endodontically Treated Teeth

Materials and Methods The electronic search was conducted in the MEDLINE/PubMed, Cochrane, and Google Scholar databases until November 2020, regardless of language limitations. The inclusion criterion was as follows: S/M-R regarding prosthetic restorations in endodontically treated teeth. Three qualified researchers evaluated the inclusion criteria and bias risk. The fourth investigator was referred to when facing any doubtfulness. Results From 43 achieved S/M-R, 14 studies were selected for this inquiry. Primary extracted information included success rate, survival rate, and postendodontic failure rate. Five S/M-R had a moderate risk of bias, and nine S/M-R had a low risk of bias and were considered strong clinical evidence in this examination. According to the low-risk reports, the success rate of fiber posts was higher than that of metal posts; the rate of root fracture in metallic and fiber posts was alike; the failure rate for fiber posts was comparable to fixed partial dentures or single crowns; the construction of endocrowns was likely to perform better than intracanal posts, composite resin, or inlay/onlay restorations. Conclusion It appears that with practice and experience, deciding which type of restoration to choose changes. In dental restorations associated with root canal therapy, the single crowns are likely to be a proper option. Nevertheless, due to the heterogeneity of the studies, more clinical assessments are required to achieve more specific findings in this field.
Application of Filters to Improve Flight Stability of Rotary Unmanned Aerial Objects

The most common filters used to determine the angular position of quadrotors are the Kalman filter and the complementary filter. The problem of angular position estimation consist is a result of the absence of direct data. The most common sensors on board UAVs are micro electro mechanical system (MEMS) type sensors. The data acquired from the sensors are processed using digital filters. In the literature, the results of research conducted on the effectiveness of Kalman and complementary filters are known. A significant problem in evaluating the performance of the studied filters was the lack of an arbitrarily determined UAV position. The authors of this paper undertook the task of determining the best filter for a real object. The main objective of this research was to improve the stability of the physical quadrotor. For this purpose, we developed a research method using a laboratory station for testing quadrotor drones. Moreover, using the MATLAB environment, they determined the optimal parameters for the real filter applied using the PX4 software, which is new and has not been considered before in the available scientific literature. It should be mentioned that the authors of this work focused on the analysis of filters most commonly used for flight stabilization, without modifying the structure of these filters. By not modifying the filter structure, it is possible to optimize the existing flight controllers. The main contribution of this study lies in finding the most optimal filter, among those available in flight controllers, for angular position estimation. The special emphasis of our work was to develop a procedure for selecting the filter coefficients for a real object. The algorithm was designed so that other researchers could use it, provided they collected arbitrary data for their objects. Selected results of the research are presented in graphical form. The proposed procedure for improving the embedded filter can be used by other researchers on their subjects.
The Influence of Attitude on Consumers’ Autonomy to make Halal Food Purchase Intention: An Overview of Self-determination in a Collectivist Culture

The present study attempts to analyze the effect of consumers’ autonomy and attitude on halal food purchase intention, especially in a collectivist culture. In addition, the effect of consumers’ attitude on their autonomy while making up halal food purchase intention was also investigated. The responses from a sample of 308 respondents from the major cities of Pakistan were gathered with the help of an online questionnaire and then analyzed by using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results revealed a large and significant effect of consumers’ attitude on their autonomy to make halal food purchase intention. Moreover, the effect of consumers’ attitude on halal food purchase intention was found to be significant; whereas the effect of consumers’ autonomy on halal food purchase intention was not found. Hence, the results indicate that consumers’ autonomy, which is an innate psychological need of humans, is undermined by their attitude in collectivist cultures. The study was performed to analyze the impact of consumers’ attitude on their autonomy; future studies may be performed to examine the impact of attitude on other basic psychological needs of competence, and relatedness. Furthermore, Pakistan was taken as the context of study, such future research endeavors may be carried out in other collectivist and even non-collectivist societies. The present study is believed to be the first ever to investigate the impact of attitude on autonomy, specifically in a collectivist society.
Controlled Assembly of AIE Active Bolaamphiphilic Macromolecules into Luminescent Organic Nanoparticles Optimized for Two-Photon Microscopy in vivo

The (Z) and (E) isomers of an extended tetraphenylethylene-based chromophore with optimized two-photon induced luminescence properties are separated and functionalized with water-solubilizing pendant polymer groups, promoting their self-assembly in physiological media in the form of small, colloidal stable organic nanoparticles. The two resulting fluorescent suspensions are then evaluated as potential two-photon luminescent contrast agents for intravital epifluorescence and two-photon fluorescence microscopy. Comparisons with previously reported works involving similar fluorophores devoid of polymer side chains illustrate the benefits of the later functionalization regarding the control of the self-assembly of the nano-objects, and ultimately their biocompatibility towards the imaged organism.
A multi-layer visual display for air battle managers: Effects of depth and transparency on performance and workload in a dual-task scenario

Air Battle Managers (ABMs) in the United States Air Force are responsible for directing the implementation of a dynamic air tasking order (ATO) and controlling the execution of air-to-air and air-to-ground operations specified by that ATO. In order to do so, they must typically monitor a situation display (SD) comprising a map overlaid with landmarks, geographical features, and moving tracks representing the air and ground assets of coalition and enemy forces, as well as tracks for which positive identification is lacking. In addition to this surveillance component, they are required to perform a number of other tasks, such as associating coalition assets with targets, coordinating air-to-air refuelling, and responding to warnings. These tasks all require a portion of the visual display that is occupied by the SD, and typically occlude the SD, leading presumably to decreased performance on one of the two concurrent tasks. The purpose of the present investigation was to determine whether the use of a multi-layer display, on which visual information is presented at two different depths, with varying degrees of transparency, would reduce the performance decrement associated with concurrent task performance by eliminating the effects of occlusion. A multi-element tracking task was employed as an analogy to the SD, while a cognitive vigilance task was used to represent the additional visual task. Analyses suggest that transparency alone plays a role in reducing the deficits introduced by occlusion, and also reduces perceived mental workload.
The Free Energy Principle for Perception and Action: A Deep Learning Perspective

The free energy principle, and its corollary active inference, constitute a bio-inspired theory that assumes biological agents act to remain in a restricted set of preferred states of the world, i.e., they minimize their free energy. Under this principle, biological agents learn a generative model of the world and plan actions in the future that will maintain the agent in an homeostatic state that satisfies its preferences. This framework lends itself to being realized in silico, as it comprehends important aspects that make it computationally affordable, such as variational inference and amortized planning. In this work, we investigate the tool of deep learning to design and realize artificial agents based on active inference, presenting a deep-learning oriented presentation of the free energy principle, surveying works that are relevant in both machine learning and active inference areas, and discussing the design choices that are involved in the implementation process. This manuscript probes newer perspectives for the active inference framework, grounding its theoretical aspects into more pragmatic affairs, offering a practical guide to active inference newcomers and a starting point for deep learning practitioners that would like to investigate implementations of the free energy principle.
A New Historicist Perspective of John Denham’s The Sophyand Robert Baron’s Mirza

The present paper attempts the application of new historicist perspectives to John Denham’s play The Sophy and Robert Baron’s play Mirza. Both the plays have been analyzed together due to elements of similarity in theme, plot and source. The playwrights have used these plays as oblique commentaries on the socio-historical and political conditions of the period but at the same time these plays also embody deeper meanings beyond the topical and national references. These plays may well be viewed as reinforcing the notion of cultural hegemony of the West and thereby representing the psychological divide between the Occident and Orient. The researchers contend that both Denham and Baron have misrepresented the Orient and Oriental characters in their plays since most of the characters have been represented as cultural stereotypes. The research paper aims to find out as to how both the plays support the dominant ideology of the period which was to misrepresent the Oriental characters. Both the plays have been explicated in the light of some of the key aspects of New Historicism.
An Integrated Platform for Ground-Motion Mapping, Local to Regional Scale; Examples from SE Europe

Ground and infrastructure stability are important for our technologically based civilization. Infrastructure projects take into consideration the risk posed by ground displacement (e.g., seismicity, geological conditions and geomorphology). To address this risk, earth scientists and civil engineers employ a range of measurement technologies, such as optical/laser leveling, GNSS and, lately, SAR interferometry. Currently there is a rich source of measurement information provided in various formats that covers most of the industrialized world. Integration of this information becomes an issue that will only increase in importance in the future. This work describes a practical approach to address and validate integrated stability measurements through the development of a platform that could be easily used by a variety of groups, from geoscientists to civil engineers and also private citizens with no training in this field. The platform enables quick cross-validation between different data sources, easy detection of critical areas at all scales (from large-scale individual buildings to small-scale tectonics) and can be linked to end-users from various monitoring fields and countries for automated notifications. This work is closing the gap between the specialized monitoring work and the general public, delivering the full value of technology for societal benefits in a free and open manner. The platform is calibrated and validated by an application of SAR interferometry data to specific situations in the general area of the Romanian Carpathians and their foreland. The results demonstrate an interplay between anthropogenically induced changes and high-amplitude active tectono–sedimentary processes creating rapid regional and local topographic variations.
Tryptophan Metabolites Regulate Neuropentraxin 1 Expression in Endothelial Cells

In patients with chronic kidney disease (CKD) and in animal models of CKD, the transcription factor Aryl Hydrocabon Receptor (AhR) is overactivated. In addition to the canonical AhR targets constituting the AhR signature, numerous other genes are regulated by this factor. We identified neuronal pentraxin 1 (NPTX1) as a new AhR target. Belonging to the inflammatory protein family, NPTX1 seems of prime interest regarding the inflammatory state observed in CKD. Endothelial cells were exposed to tryptophan-derived toxins, indoxyl sulfate (IS) and indole-3-acetic acid (IAA). The adenine mouse model of CKD was used to analyze NPTX1 expression in the burden of uremia. NPTX1 expression was quantified by RT-PCR and western blot. AhR involvement was analyzed using silencing RNA. We found that IS and IAA upregulated NPTX1 expression in an AhR-dependent way. Furthermore, this effect was not restricted to uremic indolic toxins since the dioxin 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) and the tryptophan photoproduct 6-formylindolo[3,2-b]carbazole (FICZ) do the same. In CKD mice, NPTX1 expression was increased in the aorta. Therefore, NPTX1 is a new target of AhR and further work is necessary to elucidate its exact role during CKD.
Latest Trends in Surface Modification for Dental Implantology: Innovative Developments and Analytical Applications

An increase in the world population and its life expectancy, as well as the ongoing concern about our physical appearance, have elevated the relevance of dental implantology in recent decades. Engineering strategies to improve the survival rate of dental implants have been widely investigated, focusing on implant material composition, geometry (usually guided to reduce stiffness), and interface surrounding tissues. Although efforts to develop different implant surface modifications are being applied in commercial dental prostheses today, the inclusion of surface coatings has gained special interest, as they can be tailored to efficiently enhance osseointegration, as well as to reduce bacterial-related infection, minimizing peri-implantitis appearance and its associated risks. The use of biomaterials to replace teeth has highlighted the need for the development of reliable analytical methods to assess the therapeutic benefits of implants. This literature review considers the state-of-the-art strategies for surface modification or coating and analytical methodologies for increasing the survival rate for teeth restoration.
Deep Heat Transfer Technology Using Thermal Probe in High Temperature Region of Coal Storage Pile (Gangue Hill) Spontaneous Combustion

The spontaneous combustion of coal storage pile and waste dump is one of the unresolved problems encountered in coal mining and transportation. Thermal probe has a powerful heat transfer capability in a cooling system without external energy. In order to prevent spontaneous combustion of coal storage piles(hillock) due to regeneration, a method using thermal probe to remove heat in coal storage pile is proposed, which damages the regeneration environment to prevent coal fire. In this paper, the characteristics of spontaneous combustion of coal pile are analyzed in detail, and the latest applications and research practices of heat pipe in other industries are also included. Compared with other traditional technologies on coal fire prevention, several advantages of heat pipe in coal fire controlling are described. Technical problems of specific thermal probe, design methods, basic parameters, performance,equipment and implementation technology are discussed. And several measurements are given for its application and promotion, which may enrich the technical means of prevention and control in coal spontaneous combustion.
Acute thermal stress elicits interactions between gene expression and alternative splicing in a fish of conservation concern

Transcriptomics provides a mechanistic understanding of an organism’s response to environmental challenges such as increasing temperatures, which can provide key insights into the threats posed by thermal challenges associated with urbanization and climate change. Differential gene expression and alternative splicing are two elements of the transcriptomic stress response that may work in tandem, but relatively few studies have investigated these interactions in fishes of conservation concern. We studied the imperilled redside dace (Clinostomus elongatus) as thermal stress is hypothesised to be an important cause of population declines. We tested the hypothesis that gene expression-splicing interactions contribute to the thermal stress response. Wild fish exposed to acute thermal stress were compared with both handling controls and fish sampled directly from a river. Liver tissue was sampled to study the transcriptomic stress response. Thermally stressed fish showed a prominent transcriptional response (estimated with mRNA transcript abundance) related to transcription regulation and responses to unfolded proteins, and prominent alternatively spliced genes related to gene expression regulation and metabolism. One splicing factor, prpf38b, was upregulated in the thermally stressed group compared to the other treatments. This splicing factor may have a role in the Jun/AP-1 cellular stress response, a pathway with wide-ranging and context-dependent effects. Given large gene interaction networks and the context-dependent nature of transcriptional responses, our results highlight the importance of understanding interactions between gene expression and splicing for understanding transcriptomic responses to thermal stress. Our results also reveal transcriptional pathways that can inform conservation breeding, translocation, and reintroduction programs for redside dace and other imperilled species by identifying appropriate source populations. SUMMARY STATEMENT Gene expression and alternative splicing interact in response to thermal stress in an imperilled fish, with implications for conservation and mechanisms of thermal tolerance in vertebrate ectotherms.
Correlation and path coefficient analysis for protein yield in confectionary sunflower (Helianthus annuus L.)

The most important criteria for introducing new confectionary hybrids into the production is high protein yield. Path coefficient analysis was used to obtain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed yield, kernel protein content, mass of 1000 seeds, kernel ratio and hull ratio) on protein yield. The research was conducted during three vegetation seasons, on 22 experimental confectionary sunflower hybrids created in the breeding program at the Institute of Field and Vegetable Crops. Strong and very strong correlations were found among the largest number of examined traits. A weak negative interdependence was determined between kernel oil content, kernel protein content, mass of 1000 seeds, hull ratio, and protein yield using the analysis of simple correlation coefficients. Positive but weak correlation was determined between protein yield and seed oil content, and kernel ratio. Very strong positive correlation was determined between protein yield and seed yield (0.468**). The seed oil content had a very strong direct negative effect on protein yield (DE=-0.734**). The mass of 1000 seeds had a weak negative direct effect on protein yield. Kernel protein content and kernel oil content demonstrated a weak direct positive effect on protein yield. Path coefficient analysis of protein yield showed a very strong positive direct effect of kernel ratio (DE=1.340**), seed yield (DE=0.657**) and hull ratio (DE=0.992*). These findings confirm the effect of seed yield, kernel ratio, and hull ratio on protein yield, and their importance as the selection criteria in confectionary sunflower breeding. [Projekat Ministarstva nauke Republike Srbije, br. 31025: Development of new varieties and production technology improvement of oil crops for different purposes]
Towards Building Cyberphysical Systems with Agile Architecture

The current stage of technology development is characterized by an increase in the complexity of the created anthropogenic systems, a constant expansion of the scope of information technologies, an increase in the intelligence level of the created systems, and the appearance of new paradigms for building information-oriented systems such as cyber-physical systems, the Internet of things, and cloud and fog systems. Modern information-oriented systems very often have dynamic structure, implement complex adaptive behavior, and can be considered as systems with agile architecture. The article discusses one of the possible approaches for building cyberphysical systems with agile architecture on fog platforms. The idea of the proposed approach is to accumulate knowledge about the current state of the observed cyberphysical systems in the form of knowledge graphs. As a model, it is proposed to use multilevel relatively finite state operating automaton at the upper level and knowledge graphs at the lower level. A distinctive feature of the developed approach is that models that describe the current state of the observed system can be built automatically.
Advanced strategies to thwart foreign body response to implantable devices

Abstract Mitigating the foreign body response (FBR) to implantable medical devices (IMDs) is critical for successful long‐term clinical deployment. The FBR is an inevitable immunological reaction to IMDs, resulting in inflammation and subsequent fibrotic encapsulation. Excessive fibrosis may impair IMDs function, eventually necessitating retrieval or replacement for continued therapy. Therefore, understanding the implant design parameters and their degree of influence on FBR is pivotal to effective and long lasting IMDs. This review gives an overview of FBR as well as anti‐FBR strategies. Furthermore, we highlight recent advances in biomimetic approaches to resist FBR, focusing on their characteristics and potential biomedical applications.