Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection and Classification of Honey Adulteration Combined with Multivariate Analysis

Honey is a natural sweetener with a yellowish substance made up of bee secretions and plant nectar extracts. Main composition of honey are sugars or carbohydrates and water in the chemical composition and contain a great number of minor components such as minerals, amino acids, proteins, acidity, and pH. Honey adulteration is a global concern due to lack of awareness of people and policies. There is a various method that has been conducted to detect honey adulteration such as SCIRA, DSC, FTIR, NIRS, and NMRand these methods mostly used multivariate data analysis to classify the adulteration of honey. PCA is the most used technique in the classification of honey adulteration where the data obtained is clustered according to adulteration level and type of theadulterant. This paper explains on different methods to detect honey adulteration and common technique used on classification of honey.It can be concluded that PCA is the most used technique based on different method of honey adulteration detection.
Rural Community Perception of Tourism Development: A Strategic Tool in Rural Development

Local communities are the most valuable assets for a tourist destination; therefore, their perceptions of tourism constitute a crucial pillar for designing tourism development strategies that promote sustainable development. The success of tourism development in a rural setting depends on securing the support and active participation of stakeholders, in particular the community. It is important for planners to gather the perception of local communities about the impacts of tourism when planning the development of tourism. The aim of this study was to learn about the rural community’s perceived benefits associated with tourism development; and furthermore, to examine their attitude towards tourism development in their residential surroundings. Data was collected with the aim of gathering the community’s viewpoint, in particular their perception and attitude, on tourism development in a rural region, South Africa. The findings specify that the Local Destination Management Organisation (LDMO) and other role players should formulate development strategies that contribute towards creating employment opportunities and to develop an inclusive economy that will enable the local community to benefit through tourism development.
Typology and determinants of the accessibility of agricultural holdings to index agricultural insurance: Case of the food-producing area of South Borgou (Benin)

The objective of the study is to make the typology and identify the determinants of the accessibility of agricultural holdings to index agricultural insurance in the food zone of South Borgou in Benin. Data were collected from 320 heads of maize-producing farms in the three pilot municipalities. The producers were categorized into prosperity level classes of qualitative typology method, supported by Factor Analysis in Multiple Correspondence (AFCM). The binary logistic regression method determined the factors that influence the adoption of this insurance. Analysis of the data allowed to categorize the farms surveyed into rich (8.90%), medium (15.10%), poor (29.70%) and very poor (46.30%). In total, 68% of rich and medium holdings were insured against 33.30% for the very poor with a significant difference at the threshold of 1%. Thus, the factors which significantly influence the adoption of agricultural insurance at the 5% threshold are: access to formal credit, contact with extension, cultivated area, membership of an association and level of prosperity. These factors are important in promoting index agricultural insurance.
New Genetic Biomarkers of the Overlap Syndrome Tension-Type Headache and Arterial Hypertension

Background: Nitric oxide (NO) is an important autocrine and paracrine signaling molecule that plays a crucial role in cardiovascular physiology and pathology regulation. NO is an important molecule involved in regulation of cerebral and extra cerebral cranial blood flow and arterial diameters. Reduced bioavailability of NO in the endothelium is an important precursor for impaired vasodilation and arterial hypertension (AH). Furthermore, NO is involved in nociceptive processing. A NO-induced biphasic response with immediate and a delayed headache is typical for chronic tension-type headaches (TTH) in humans. The aim was to study the association of allelic variants and genotypes of the single nucleotide variant (SNV) rs3782218 of the NOS1 gene with the TTH and AH overlap syndrome development in middle age adults. Materials and Methods: We observed 91 Caucasian participants who resided in Krasnoyarsk city: group 1 (TTH and AH overlap syndrome)—30 patients; group 2 (AH without headache)—30 patients; group 3 (control)—31 healthy volunteers. The diagnosis of AH was based on criteria of the European Society of Cardiology and the European Society of Hypertension (2018) и criteria of the Russian Society of Cardiology (2020). Diagnosis of TTH was based on criteria of the International Classification of Headache Disorders (2018). Real-time polymerase chain reaction was used for the determination of allelic variants and genotypes of the SNV rs3782218 of the NOS1 gene in all groups of participants. Results: The frequency of the minor allele T of rs3782218 was statistically significantly higher by 16.7 times in group 1 (TTH and AH) compared to group 3 (control): 26.7% versus 1.6%, respectively (p-value = 0.000065) and 3.2 times higher in group 1 (TTH and AH) compared to group 2 (AH without headache): 26.7% versus 8.3%, respectively (p-value = 0.008). The frequency of the heterozygous (CT) genotype was statistically significantly higher in group 1 (TTH and AH) compared to group 3 (control): 40.0% versus 3.2% (p-value = 0.000454) and in group 1 (TTH and AH) compared to group 2 (AH without headache): 40.0% versus 16.7% (p-value = 0.045). The minor allele T was statistically significantly associated with a high risk of developing the TTH and AH overlap syndrome compared with the controls (odds ratio (OR) = 22.2 (95% confidential interval (CI): 2.8–173.5)) and compared with AH without headache (OR = 4.0 (95% CI: 1.4–11.8)). Although the frequency of the minor allele T was 5.2 times higher in group 2 (AH without headache) compared with group 3 (control), there were not statistically significantly differences (p-value = 0.086). Conclusion: Thus, the minor allele T of rs3782218 of the NOS1 gene is an important genetic biomarker for a high risk of developing the TTH and AH overlap syndrome in hypertensive patients.
A Comparative performance evaluation of a set of swarm intelligence based optimization algorithms for economic operation with FACTS devices in Power system

In this article an effective Reactive Power Management (RPM) method using a Flexible AC Transmission System (FACTS) has been proposed, which minimizes the loss of energy, improves the power transfer capacity and reduces the overall cost of transmission network lines. The position of FACTS was optimized by two recently proposed heuristic optimization techniques, i.e., Gravitational Search Algorithm (GSA) and Teaching Learning Based Optimization (TLBO). It is observed that installing the FACTS in this optimal position improves the voltage profile at minimum installation cost. The overall effectiveness of the proposed approaches were examined by implementing it on a IEEE 30-bus network.
Burnout in Intensive Care Nurses during the COVID-19 Pandemic: A Scoping Review on Its Prevalence and Risk and Protective Factors

Background: The COVID-19 pandemic has strained hospitals and healthcare workers engaged in combating the virus with limited knowledge and resources. Intensive care unit (ICU) nurses are among the healthcare workers most affected by the pandemic and are at risk for developing burnout syndrome. Objective: The present study aims to explore burnout symptoms prevalence among ICU nurses and to identify the individual, organizational, and contextual risk, and protective factors of burnout in ICU nurses during the COVID-19 pandemic. Methods: A scoping review was conducted by searching PubMed, Scopus, and Web of Science. Only papers with empirical data and referred to ICU nurses were included. A total of 350 initial results were yielded, and 40 full texts were screened. Twelve papers constituted the final sample in the analysis. Results: High levels of symptoms of burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) were registered among ICU nurses during the COVID-19 pandemic. Increased workload, lack of equipment, social stigma, and fear of contagion emerged as key risk factors. Social support from leaders and colleagues, professional recognition, use of personal protective tools, and witnessing patients’ successful recovery emerged as major protective factors. Conclusions: The results may inform the development of timely actions to counter burnout in ICU nurses during this COVID-19 pandemic and in a post-COVID-19 scenario.
The Effect of STEM Integrated Modules on Knowledge and Students' 21st Century Skill in Science and Physics Learning : A Meta Analysis

Industrial revolution 4.0 students are required to have 21st century skills. These skills include critical thinking, creativity and innovation, communication, and collaboration. Teachers in the learning process teachers play a role in improving student skills. The learning method that can be used by teachers in improving students' 21st century skills is STEM (science, technology, engineering and mathematics). STEM indicators in learning can be integrated in a learning material in the form of a module. Modules can assist teachers in presenting learning information that is easy for students to understand. This study analyzes the effect of STEM integrated modules in science and physics learning on the knowledge and skills of 21st century students determined through effect sizes. Research data obtained from 20 articles. The analysis was carried out based on the category of education level, type of learning material and physics and science subject matter. The results show that stem-based modules are more effective if applied at the high school level with electronic module learning materials. The results of the analysis show that the use of integrated STEM modules is effective in improving the knowledge and skills of 21st century students.
VU Research Portal A social identity approach to trust: interpersonal perception, group membership and trusting behavior

Trusting behaviour involves relinquishing control over outcomes valuable to the self. Previous research suggests that interpersonal perceptions of trustworthiness are closely related to this behaviour. The present research suggests that the more proximal determinant of trusting behaviour is the expectation that the other will reciprocate. Based on the Social Identity model of Deindividuation Effects (SIDE) model, reciprocity expectations may be created by interpersonal perceptions of trustworthiness or a shared group membership. To investigate this, group membership and individual identiﬁability were experimentally manipulated ( N ¼ 139): When individuals were not identiﬁable, trusting behaviour was based on expectations of reciprocity inferred from group membership, not on perceived trustworthiness. In contrast, personal identiﬁability fostered perceptions of trustworthiness for both in- and out-group members. In this case interpersonal trustworthiness enhanced expectations of reciprocity, which in turn increased trusting behaviour. Copyright # 2005 John Wiley & Sons, Ltd.
Discrete max-plus spectral theory

We develop a max-plus spectral theory for infinite matrices. We introduce recurrence and tightness conditions, under which many results of the finite dimensional theory, concerning the representation of eigenvectors and the asymptotic behavior of powers of matrices, carry over. We also announce more general representation results for eigenvectors, which are obtained by introducing a max-plus analogue of the Martin boundary.
Accretion regimes in the X-ray pulsar 4U 1901+03

The source 4U 1901+03 is a high-mass X-ray pulsar than went into outburst in 2003. Observation performed with the Rossi X-ray Timing Explorer showed spectral and timing variability, including the detection of flares, quasi-periodic oscillations, complex changes in the pulse profiles, and pulse phase dependent spectral variability. We re-analysed the data covering the 2003 X-ray outburst and focused on several aspects of the variability that have not been discussed so far. These are the 10 keV feature and the X-ray spectral states and their association with accretion regimes, including the transit to the propeller state at the end of the outburst. We find that 4U 1901+03 went through three accretion regimes over the course of the X-ray outburst. At the peak of the outburst and for a very short time, the X-ray flux may have overcome the critical limit that marks the formation of a radiative shock at a certain distance above the neutron star surface. Most of the time, however, the source is in the subcritical regime. Only at the end of the outburst, when the luminosity decreased below ~10^{36} (d/10 kpc)^2 erg/s, did the source enter the propeller regime. Evidence for the existence of these regimes comes from the pulse profiles, the shape of the hardness-intensity diagram, and the correlation of various spectral parameters with the flux. The 10 keV feature appears to strongly depend on the X-ray flux and on the pulse phase, which opens the possibility to interpret this feature as a cyclotron line.
A Center-Masked Convolutional Transformer for Hyperspectral Image Classification

Hyperspectral images (HSIs) have a wide field of view and rich spectral information, where each pixel represents a small area of the earth’s surface. The pixel-level classification task of HSI has become one of the research hotspots in hyperspectral image processing and analysis. More and more deep learning methods have been proposed in recent years, among which convolutional neural network (CNN) is the most influential. However, it is difficult for CNN-based models to obtain the global receptive field in HSI classification task. Besides, most of the self-supervised training methods are based on sample reconstruction, and it is not easy to achieve effective use of unlabeled samples. In this paper, we propose a novel convolutional embedding module, combined with the Transformer blocks, which successfully improves the context-awareness while retaining the local feature extraction capability. Moreover, a new self-supervised task is designed to make more efficient use of unlabeled data. Our proposed pre-training task only masks the central token and reconstructs the central pixel from a learnable vector. It allows the model to capture the patterns between the central object and surrounding objects without labels.
Cognitive phenotype of childhood myotonic dystrophy type 1: A multicenter pooled analysis

There is clear evidence for brain involvement in childhood myotonic dystrophy type 1 (DM1) from imaging studies and the prevalence of intellectual impairment and neurodevelopmental disorders. The cognitive profile of children with DM1 however is poorly understood. The aim of this study was to assess the cognitive profile of children with DM1.
Asteroseismic signatures of magnetic activity variations in solar-type stars

Abstract Observations of magnetic activity cycles in other stars provide a broader context for our understanding of the 11-year sunspot cycle. The discovery of short activity cycles in a few stars, and the recognition of analogous variability in the Sun, suggest that there may be two distinct dynamos operating in different regions of the interior. Consequently, there is a natural link between studies of magnetic activity and asteroseismology, which can characterize some of the internal properties that are relevant to dynamos. I provide a brief historical overview of the connection between these two fields (including prescient work by Wojtek Dziembowski in 2007), and I highlight some exciting results that are beginning to emerge from the Kepler mission.
PivotE: Entity-Oriented Exploratory Search on Knowledge Graphs

Entity-oriented exploratory search in knowledge graphs can enrich information access by presenting similar entities and their relevant exploration pointers to fulﬁll users’ information needs, which potentially supports a particular set of entity search and recommendation tasks. However, less attention has been devoted to the user interfaces for supporting users to explore the knowledge graphs effectively and efﬁciently. In this paper, we focus on the user study of a prototype system called PivotE for entity-oriented exploratory search in knowledge graphs. It applies a state-of-the-art method for recommending entities and their relevant information as exploration pointers, which assists users to learn about the properties of entities and guides them to explore the knowledge graphs in different aspects. It also allows users to manipulate entities and exploration pointers directly to express their information needs beyond the keyword-based search, which facilitates users to reformulate queries. Extensive task-based user experiments indicate that, in terms of task results, search behaviors and user experiences, PivotE achieves improved performance signiﬁcantly.
Development and Psychometrics of a Freely Available Mechanical Aptitude Test*

Mechanical aptitude refers to individual diﬀerences in understanding and learning how simple machines work. Tests of mechanical aptitude are predictive of performance in engineering jobs and capability to learn about mechanical processes. The advancement of technology has led to existing mechanical aptitude tests becoming dated. Commonly used tests are known to be gender-biased, limited in use (diagnostics tests), and are not freely available for use in educational settings. This work presents the development of a Mechanical Aptitude Test (MAT). The mechanical aptitude items were designed and tested across four phases in large samples of engineering and non-STEM students across four U.S. universities (n = 1,718). An item analysis of the last phase (n = 599) was conducted to screen questions not meeting established criteria for item diﬃculty and item discrimination. After, a one-factor conﬁrmatory factor analysis was run with diagonalized weighted least squares. The one-factor conﬁrmatory factor analysis ﬁt well with exceptional ﬁt indices (CFI = 0.994, TLI = 0.993, RMSEA = 0.02 90%CI[0.004,0.3], SRMR = 0.059), albeit a rejected model chi-square, (cid:31) 2 (34) = 146.939, p = 0.042. ThecurrentMATscaleconsists of17multiplechoiceitems,narroweddownfromalarger bankof68items,coveringtopics related to mechanical insight, mechanical knowledge, shop geometry and measurement, and tool knowledge. and Aﬃliate in the Department of Mechanical Engineering at Her explores (a) impacts of concrete and virtual objects on student learning and abilities (mechanical reasoning, spatial and creative abilities), and (b) eﬀective teaching models of professional ethics and empathic design.
Edinburgh Research Explorer Drivers of landscape evolution in eastern Tibet

: The eastern margin of the Tibetan Plateau is characterized by two end-member morphologies: 2-3-km-deep 9 canyons that are juxtaposed against extensive high elevation, low relief landscapes. Past researchers have highlighted 10 topographic evidence for mobile drainage divides in this region. Active thrusting is thought to drive river gorge incision 11 originating from the east, but within the eastern Tibetan plateau, there is no evidence for focussed thrusting, and no significant post-Cenozoic shortening structures are evident at the surface upstream of the Three Rivers regions. In this 13 region, researchers have attributed the evident landscape transience to different mechanisms, including upward propagation of an incision signal, regional uplift, and local uplift caused by strike-slip motion. Here, we quantify topographic metrics to document the geomorphic response to the proposed tectonic forcing. Specifically, we quantify channel steepness and identify knickpoints to assess evidence for landscape transience and potential accelerated incision triggered in eastern Tibet. We find that k sn and slope systematically increase downstream along the Tongtianhe River (TR) which bisects the study area from NW to SE and is part of the Yangtze River system, but not along adjacent main stem rivers with similar orientation, therefore ruling out the effect of a regional uplift gradient. The spatial distribution of knickpoints does not cluster along or around fault lines, which we interpret to mean that local faulting is not likely a significant factor causing the systematic variations in the topographic metrics. We find that tributaries of the TR exhibit large non-lithological channel convexities, and that the elevation of these knickpoints above the tributaries’ mouth increases towards the SE, in the TR’s downstream direction. This observation can be best explained by a transient signal propagating upstream along the TR. An additional large non-lithological knickpoint along the TR, as well as a strong local drainage divide disequilibrium between the TR’s tributaries and adjacent basins, suggest that waves of incision, potentially set by regional uplift, are propagating up the TR but not up the adjacent major river systems (the Mekong and eastern branch of Yangtze rivers). We propose these waves of incision are the first-order driving force for river arrangements in eastern Tibet. Accordingly, we reconstruct the evolution processes of landscapes in eastern Tibet. this study that upstream propagation of incision in rigid terranes, and likely in other tectonically or are uplift, in particular when these signals do not affect the in a uniform manner, thereby driving disequilibrium. This study also demonstrates that the combination of multiple techniques of topographic analysis allows us to discriminate different scenarios that have been
Water and ions transport in calcium silicate hydrate: a molecular dynamics study

Transport properties of water and ions in calcium silicate hydrate (C-S-H) greatly affect the durability of cementitious materials. In this study, molecular dynamics (MD) technique is used to investigate the transport behaviors of NaCl solution in C-S-H nanopores with different sizes (from 0.5 nm to 5 nm), and the hindering effect of C-S-H on the diffusion of water molecules and Cl ions is further explored in the case of a 5 nm pore. Results show that the diffusion coefficients of water molecules and Cl ions in C-S-H nanopores increase with the expansion of nanopore. At the atomic scale, the Ca-rich C-S-H forms Ca-O and Ca-Cl clusters with water molecules and Cl ions, respectively, and the Si-O tetrahedra on silicate chains can also build hydrogen bonding interactions with water molecules, which constrain the transport behaviors of water and ions. From the molecular perspective, this study innovatively investigates the effect of C-S-H pore size on the diffusion capacity of water and ions, and reveals the chemical bonding mechanism between water molecules, Cl ions and C-S-H, which provides a theoretical basis for studying the resistance of concrete to ionic attack.