Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectral Diversity of Rocks and Soils in Mastcam Observations Along the Curiosity Rover's Traverse in Gale Crater, Mars

The Mars Science Laboratory Curiosity rover has explored over 400 m of vertical stratigraphy within Gale crater to date. These fluvio‐deltaic, lacustrine, and aeolian strata have been well‐documented by Curiosity's in situ and remote science instruments, including the Mast Camera (Mastcam) pair of multispectral imagers. Mastcam visible to near‐infrared spectra can broadly distinguish between iron phases and oxidation states, and in combination with chemical data from other instruments, Mastcam spectra can help constrain mineralogy, depositional origin, and diagenesis. However, no traverse‐scale analysis of Mastcam multispectral data has yet been performed. We compiled a database of Mastcam spectra from >600 multispectral observations and quantified spectral variations across Curiosity's traverse through Vera Rubin ridge (sols 0–2302). From principal component analysis and an examination of spectral parameters, we identified nine rock spectral classes and five soil spectral classes. Rock classes are dominated by spectral differences attributed to hematite and other oxides (due to variations in grain size, composition, and abundance) and are mostly confined to specific stratigraphic members. Soil classes fall along a mixing line between soil spectra dominated by fine‐grained Fe‐oxides and those dominated by olivine‐bearing sands. By comparing trends in soil versus rock spectra, we find that locally derived sediments are not significantly contributing to the spectra of soils. Rather, varying contributions of dark, mafic sands from the active Bagnold Dune field is the primary spectral characteristic of soils. These spectral classes and their trends with stratigraphy provide a basis for comparison in Curiosity's ongoing exploration of Gale crater.
Diagnosis of Cardiac Surgery-Associated Acute Kidney Injury: State of the Art and Perspectives

Diagnosis of cardiac surgery-associated acute kidney injury (CSA-AKI), a syndrome of sudden renal dysfunction occurring in the immediate post-operative period, is still sub-optimal. Standard CSA-AKI diagnosis is performed according to the international criteria for AKI diagnosis, afflicted with insufficient sensitivity, specificity, and prognostic capacity. In this article, we describe the limitations of current diagnostic procedures and of the so-called injury biomarkers and analyze new strategies under development for a conceptually enhanced diagnosis of CSA-AKI. Specifically, early pathophysiological diagnosis and patient stratification based on the underlying mechanisms of disease are presented as ongoing developments. This new approach should be underpinned by process-specific biomarkers including, but not limited to, glomerular filtration rate (GFR) to other functions of renal excretion causing GFR-independent hydro-electrolytic and acid-based disorders. In addition, biomarker-based strategies for the assessment of AKI evolution and prognosis are also discussed. Finally, special focus is devoted to the novel concept of pre-emptive diagnosis of acquired risk of AKI, a premorbid condition of renal frailty providing interesting prophylactic opportunities to prevent disease through diagnosis-guided personalized patient handling. Indeed, a new strategy of risk assessment complementing the traditional scores based on the computing of risk factors is advanced. The new strategy pinpoints the assessment of the status of the primary mechanisms of renal function regulation on which the impact of risk factors converges, namely renal hemodynamics and tubular competence, to generate a composite and personalized estimation of individual risk.
Progress of g‐C3N4 and carbon‐based material composite in fuel cell application

Fuel cells are the most promising alternative green and clean energy source in the future because of their low carbon emissions. Fuel cells have been employed in various applications, including large‐scale stationary power generation, distributed combination heat and power, transport, and mobile and stationary applications. Generally, a fuel cell system consists of a proton exchange membrane or polymer electrolyte membrane (PEM), a catalyst layer, a microporous layer, a gas diffusion layer, and a bipolar plate at the anode and cathode. PEMs are an important component in fuel cell applications that act as proton carriers and separators for the anode and cathode, while catalyst support materials are a major component of proton exchange membrane fuel cell. The membrane and catalyst affect the cost, durability, and electrochemical activity of fuel cells. Researchers have made serious attempts to develop materials that can reduce the cost of membrane and catalyst manufacturing, lowering the overall cost of fuel cells. Because of its unique features like 2D structure, ease of fabrication, and low production cost, graphitic carbon nitride (g‐CN or g‐C3N4) is now frequently mentioned. Due to their exceptional qualities, carbon‐based materials are also commonly used in a variety of applications, including fuel cells. The effectiveness of experiments using g‐C3N4, carbon nanotube (CNT), and graphene as essential materials in enhancing fuel cell performance is discussed in this study. This review, primarily for fuel cell applications, discusses ways of adjusting the structure in terms of porosity, dimension tailoring, and atomic and edge functionalization. The study also involved the properties of composite materials as well as their respective applications on membranes as well as fuel cell catalysts. This review is useful for investigations into g‐C3N4, CNT, and graphene because it offers ideas and direction for improving the potential of associated systems, including fuel cells, hydrogen production, solar cells, batteries, and supercapacitors.
Analyzing Infrequent Events: Once You Find Them Your Troubles Begin.

Abstract : A theoretical/methodological analysis of the study of infrequent or low base rate events and behaviors is presented. Problems of interpretation caused by aggregation across arbitrary time limits imposed by the necessity to obtain variance in dependent measures, aggregation across heterogeneous samples drawn from unspecified populations, studies of rates of occurrences per group, studies of surrogates with less extreme base rates, and studies of post hoc groups defines after the occurrences of the event are all discussed. The problems with each attempt to circumvent extremes of base rates were considered. Available alternatives were presented and discussed. (Author)
Multilayer map construction and vision-only multi-scale localization for intelligent vehicles in underground parking

High-accuracy localization is a major problem for intelligent vehicles. With the continuation of traffic scenarios, underground parking lots have become an essential link to intelligent vehicle localization. Current localization methods suitable for ordinary traffic scenes, such as the global localization system and Beidou, cannot obtain stable localization results because the satellite signal is blocked. Thus, localization is a complex problem to solve in this scenario to achieve highly accurate localization. This study proposes a coarse-to-fine multi-scale localization method that can achieve highly precise localization with only one monocular camera based on the constructed multilayer map. First, the visual features of the images to be located are extracted, and the proposed features are counted and matched with the map using the bag of word model to obtain the nearest node for completing node-level coarse localization. Second, the perspective N-point problem model is formed using visual features and structural information in the nearest node. Finally, the positions and attitudes of the vehicles relative to the map node are calculated to complete degree-level fine localization. The error rate of the localization algorithm is verified to be below 7.3%, which is superior to that of other methods. This study provides a new solution for the highly accurate localization of underground parking and other indoor scenes.
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method

Displacement is an essential indicator of the functioning and safety of long-span cable-supported bridges under operational conditions. However, displacement estimation is challenging as these bridges are simultaneously subjected to various loading conditions such as temperature, wind, and vehicles. This article investigates an approach for estimating bridge displacement responses under multiple loads using a residual autoencoder model. Monitoring data of a cable-stayed bridge are collected to validate the proposed approach, including comprehensive measurements of the various loads and the displacement responses. Characteristics of temperature, wind, and vehicle loads are taken as the input, and the displacement responses at the mid-span of the main girder and top of the two pylons are taken as the output. The results showed the effectiveness of the proposed approach with an accuracy higher than 95%, which clearly outperformed other models such as long short-term memory networks in accuracy and efficiency. The effects of different types of loads are also investigated, and the wind load is found to be the most influential. Furthermore, multistep ahead prediction is carried out using the proposed approach, and good accuracy is achieved even 5 min ahead. The proposed approach can shed light on early warning of the malfunction of the bridge.
Inner-Canthus Localization of Thermal Images in Face-View Invariant

Inner-canthus localization has played an essential role in measuring human body temperature. This is due to the theory that human core body temperature can be measured in the inner-canthus. Such measurement is useful for mass screening since it is non-contact, non-invasive and fast. This paper presents an algorithm that has been developed to locate the inner-canthus. The algorithm proposed a robust method in various face-view, i.e., frontal, sided and tilted. The algorithm consisted of: face segmentation, determining face-orientation, rotating face into straight view, eye localization, and inner-canthus localization. The face segmentation used human temperature threshold of 34°C — the face orientation used trend line of a middle point between each most-bottom and most-top coordinates. The face rotation was based on the gradient of the trend line. Once the face is rotated, the eye location was determined using facial proportion. The inner-canthus location was determined as the highest intensities in the eye-frame. The test on 15 thermal images of faces with various view showed localization accuracy of 80% for eye-frame determination and 100% for inner-canthus localization.
Influence of Structured Training Programme on Healthcare Workers’ Knowledge of Recommended Postnatal Care Services in Nigeria

Introduction The lack of continuous training of maternal and child healthcare providers has been identified as one of the factors contributing to the poor quality of maternal and child healthcare services in Nigeria. Objectives The study aimed to evaluate the level of postnatal care-related knowledge among healthcare workers in Osun State and the impact of a structured training program on their learning. Method A quasi-experimental research design using pre-test and post-test control groups was utilized in this study. One hundred and sixty-one healthcare workers were recruited from six Local Government Areas (LGA) and randomized into intervention and control groups. The healthcare workers in the intervention group (n = 82) were exposed to a 3-day structured training program. A structured questionnaire was used to collect data before, immediately, and 3-months after the training. Data were analyzed using descriptive statistics, multiple linear regression, t-test, and repeated measure analysis of variance (ANOVA) with posthoc pairwise comparison. Results The mean ages of healthcare workers in the intervention and control groups are 40.96 ± 6.91 and 42.52 ± 7.58, respectively. At baseline, the mean knowledge score of the intervention and control groups were 60.0 ± 11.6 and 63.7 ± 10.4, respectively. There is a significant difference in the mean knowledge score of healthcare workers in the intervention group compared with those in the control group immediately after the training (t = 12.04, p < .001) and after 3-months of data collection training (t = 5.92, p < .001). A multivariate linear regression confirmed the positive effect of group membership (intervention vs. control) on the post-test knowledge among respondents (p < .001). Conclusion An educational training significantly improved the knowledge of healthcare workers on the recommended postnatal care.
Building Information Modeling Learning Behavior of AEC Undergraduate Students in China

With the popularization and application of Building Information Modeling (BIM), the demand for BIM technical talents in the construction industry is increasing. Exploring college students’ BIM technical learning behavior is of great practical significance to improve education activities. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research adds learning attitude variables to construct a theoretical model of influencing factors of college students’ BIM technology learning behavior. Chinese undergraduate students were asked to complete online questionnaires through peer-to-peer contact with sample colleges and universities. Finally, 1090 valid questionnaires were obtained. The students were sampled from research-oriented, applied research-oriented, application-oriented, and private research-oriented universities in seven regions of China: northeast, north, east, south, central, northwest, and southwest. The structural equation model was used to analyze the sampling data. The results indicate that college students’ BIM learning attitude, performance expectations, and social influence positively and directly impact their learning intention, which indirectly impacts their learning behavior. At the same time, promoting factors and learning intention demonstrate a significant positive and direct impact on learning behavior. Therefore, the following suggestions have been put forward to enhance college students’ learning motivation for BIM technology: increase the popularization of BIM technology in colleges and universities and improve the operation level of full-time BIM teachers. The latter enables colleges and universities to continuously and stably export qualified BIM technical talents to society and the market, resulting in a continuous industry development cycle.
Activity of Honey Bees on Brassica Crops in Himachal Pradesh

Behavioral studies of honey bees are very important to promote pollination. Foraging speed and rate are such vital behavioral patterns. This study evaluates the foraging attributes of honey bees on Brassica with experiments done at different sites chosen in Kangra district of Himachal Pradesh. Apis mellifera is observed to show a significantly maximum foraging rate of 13.25 and 13.89 flowers/ min on toria and mustard, respectively. Whereas, the foraging speed was maximum for A. cerana (5.20 sec/ flower) on toria and A. mellifera (4.42 sec/ flower) on mustard.
Insights into the Role of Glucagon Receptor Signaling in Metabolic Regulation from Pharmacological Inhibition and Tissue-Specific Knockout Models

While glucagon has long been recognized as the primary counter hormone to insulin’s actions, it has recently gained recognition as a metabolic regulator with its effects extending beyond control of glycemia. Recently developed models of tissue-specific glucagon receptor knockouts have advanced our understanding of this hormone, providing novel insight into the role it plays within organs as well as its systemic effects. Studies where the pharmacological blockade of the glucagon receptor has been employed have proved similarly valuable in the study of organ-specific and systemic roles of glucagon signaling. Studies carried out employing these tools demonstrate that glucagon indeed plays a role in regulating glycemia, but also in amino acid and lipid metabolism, systemic endocrine, and paracrine function, and in the response to cardiovascular injury. Here, we briefly review recent progress in our understanding of glucagon’s role made through inhibition of glucagon receptor signaling utilizing glucagon receptor antagonists and tissue specific genetic knockout models.
Perceptions Concerning Social and Healthcare Services among Romanian Older Persons

Social exclusion, especially social exclusion in old age, represents an area of interest at European level, in the context of demographic transformations. At national level, studies and research on social exclusion in old age are scarce, although the older population is more likely to be at risk of social exclusion. The article presents the results of a quantitative research methodology based on a questionnaire applied to older people of age 65 years and over. The research was conducted during November - December 2021 and the survey was representative at national level with a margin of error of ±3.5%. The aim of this article is to analyse the perceptions of older persons regarding the access and quality of social and healthcare services accessed, and thus, to gain a better understanding on how these types of services could contribute to social inclusion. Data interpretation was made using techniques of descriptive statistical analysis. Results emphasize that access to social and healthcare services are essential in old age. Perceptions of older persons highlight the need for structural changes at national level, so that social and healthcare services could make a real contribution to reducing social exclusion.
Two-Axis Continuous Distractor for Mandibular Reconstruction

The application of Distraction Osteogenesis (DO) techniques in the reconstruction of skeletal deficiencies is a relatively new topic in the fields of oral and maxillofacial surgeries. In many reconstruction applications, using DO is the preferred technique, as opposed to conventional reconstruction techniques, as there are more advantages and fewer side effects when it is used. The first generation of DO devices is made up of manual distractors that can apply an intermittent distraction force to the bone segment during the distraction process. Manual DO techniques have shown the functionality of the DO technique. Further research has recently been performed on the development of automatic devices for generating a controlled continuous force. However, the existing automatic techniques have limitations, and are yet to be used in reconstruction applications in humans. There is still a gap between the developed techniques and an ideal distractor to be used in mandibular reconstruction surgeries. In this research, a two-axis continuous distractor is proposed for use in mandibular reconstruction applications. The proposed distractor can generate two continuous distraction forces that can be applied to two independent distraction vectors. The proposed device can perform the standard distraction process using the predetermined distraction factors. The control system has a high positioning accuracy and resolution in controlling the position of the intra-oral end effectors while applying two continuous forces for moving the bone segment. The proposed two-axis continuous distractor meets the current requirements, and can be used as an ideal continuous DO device for different mandibular reconstruction applications.
Body Mass Index and Other Risk Factors Effects on Colon Cancer Prognosis in Pakistan

Introduction: Asian developing countries share the burden of colorectal cancer (CRC) with rising mortality rates. This prospective study aims to apprehend the clinical relevance of age, gender, lifestyle choices (dietary habits and addiction) and body mass index (BMI) to the occurrence and progression of colon cancer (CC). Methods: A cohort of non-cancer (NC) and CC patients of South-Central Asian origin registered for screening colonoscopy or surgery at Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH and RC), Lahore, Pakistan, from 2015 to 2020 was identified. BMI (Kg/m2) was classified according to the World Health Organization criteria as underweight (<18.5 Kg/m2), normal weight (18.5–24.9 Kg/m2) and overweight (≥25 Kg/m2). Results: Among 236 participants, 99 (41.9%) belonged to the NC group, and 137 (58.1 %) participants had CC Overall, participants included 74 women and 162 men aged 20–85 years (mean ± SD; 49.9 ± 14.9). Notably, 46.0% of cancer patients had a family history of cancer. There was a direct relationship between CC with abnormal BMI (underweight and overweight), positive smoking history and positive family history of cancer. Conclusion: Being underweight or overweight is a potential risk factor for CC patients. The overall survival in patients with CC is clinically associated with lifestyle choices before CC diagnosis. A balanced diet, walking and other forms of exercise should be strongly recommended to the community and those undergoing screening colonoscopy.
Making the Family Relationships of the Unaccompanied Youth Visible: An Opportunity to Include a New Actor in Children Care

ABSTRACT The objective of this article is to identify those situations where the families of fostered unaccompanied migrant children are made visible in order to favor the incorporation of these families into the pathway planning. The study design is qualitative exploratory. The fieldwork was carried out in Spain and involved working groups with specialized professionals. The results show that the authorities responsible for the foster care completely ignore the families although these are present in the daily life of the unaccompanied children. The few professionals and resources that include the families in the intervention agree that, doing so, the fostering process becomes much easier and smoother. The research concludes that a social work based on a decolonized and transnational perspective is essential to implement educational strategies and gain access to a legal status that favor a positive incorporation of the families into the intervention.
THE LOCATING-CHROMATIC NUMBER OF FIRECRACKER GRAPHS

Let ( ) E V G , = be a connected graph and c be a proper k -coloring of G . Let { } k C C C . , , , 2 1 = ∏ be a partition of ( ) , G V where i C is the set of vertices receiving color i . The color code ( ) v c ∏ of a vertex v in c is a locating-chromatic coloring of G . The locating-chromatic number of graph G , denoted by ( ) , G L χ is the smallest k such that G admits a locating coloring with k colors. A firecracker graphs k n F , is a graph obtained by the concatenation of n stars, each consists of k vertices, by linking one leaf from each star. In this paper, we determine the locating-chromatic number of firecracker graphs . , k n F