Miracle-dz/UniFAR-FTUs huggingface dataset:
Rail industry knowledge, experience and perceptions on the use of nature-based solutions as climate change adaptation measures in Australia and the United Kingdom

Nature-based solutions (NbS) have been identified as sustainable adaptation measures which could be applied to rail infrastructure in response to the impacts of climate change whilst also providing highly valued co-benefits. To date, however, only a limited number of examples of their use have been found in rail, and there has been little investigation into barriers to their uptake. We use an online questionnaire to examine rail industry professionals’ knowledge, experience and thoughts in relation to perceived and/or actual obstacles to the use of NbS as climate change adaptation (CCA) measures for railways, and establish what could aid their wider implementation. This research confirms multiple examples of NbS being used in rail which are not included in the literature, and identifies a lack of awareness of NbS as the largest perceived barrier to their uptake. Education on and promotion of NbS in the industry will therefore be key to its successful widespread deployment. Policy, standards, and client specification were viewed as the best vehicles to enable greater NbS uptake; rail NbS case studies are therefore recommended as means of gathering robust evidence and examples to inform the development of these instruments. Demonstration sites could be used to inform rail stakeholders and communities to garner wider support for the concept. These may also be valuable to the work of researchers and practitioners investigating the wider development and deployment of NbS as sustainable CCA measures across wider (non-rail) sectors and scenarios.
Modelling of land use change in Indramayu District, West Java Province

Indramayu District into a strategic area for a stopover and overseas from East Java area because Indramayu District passed the north coast main lane, which is the first as the economic lifeblood of the Java Island. Indramayu District is part of mainstream economic Java pathways so that physical development of the area and population density as well as community activities grew by leaps and bounds. Growth acceleration raised the level of land use change. Land use change and population activities in coastal area would reduce the carrying capacity and impact on environmental quality. This research aim to analyse landuse change of years 2000 and 2011 in Indramayu District. Using this land use change map, we can predict the condition of landuse change of year 2022 in Indramayu District. Cellular Automata Markov (Markov CA) Method is used to create a spatial model of land use changes. The results of this study are predictive of land use in 2022 and the suitability with Spatial Plan (RTRW). A settlement increase predicted to continue in the future the designation of the land according to the spatial plan should be maintained.
Investigating risk factors that predict a dog’s fear during veterinary visits

Attending the veterinary clinic is an integral part of the physical welfare of every companion dog. However, some dogs experience their veterinary visits negatively, which poses a risk of injury to the veterinary staff, their guardian (owner) and themselves during veterinary examinations. It may also influence the regularity of non-urgent veterinary appointments. To date there has been conflicting data on the proportion of dogs that are fearful during their veterinary visits. In this study, we explored the risk factors associated with fear during veterinary examination and in novel situations (including first time at the veterinary clinic) from 26,555 responses in the Canine Behavioral Assessment and Research Questionnaire database. According to their guardians, over half (55%) of companion dogs displayed some form of fearful behaviour (mild-extreme) when examined by a veterinarian, while 14% of dogs exhibited severe or extreme fear. A similar trend was observed with dogs responding fearfully in unfamiliar situations, including the dog’s first time at the veterinary clinic. Chi-squared tests showed every bivariate relationship was significant (p < 0.05). The most important predictors of fear in a veterinary examination were, in order: the dog’s breed group (27.1%), their history of roles or activities (16.7%), where they were sourced (15.2%), their weight (12%), the age of other dogs in the household (9.5%) and dog owner experience (6.3%). However, these risk factors accumulate to explain a total of 7% of variance of fear observed during veterinary examination. Results demonstrate that fear of veterinary visits is common in dogs, but that other factors (including the environment or human-animal interactions) are likely to contribute more to prevalence and severity of this problem than the demographic factors measured here. Finally, we highlight opportunities for future research aimed at facilitating less stressful veterinary visits for dogs and their guardians.
Millennials' Perceptions of M-learning in Higher Education in Developing Countries: The Role of Social Influence

Technology has brought about various changes in the teaching and learning industry. This has further led to a new form of learning known as M-learning. Meanwhile, the attributes of students have changed over time. A new generation of learners known as millennials have varying demands from bodies of knowledge as compared to their preceding generations. millennials have been acquainted with technology for most of their life. Considering these facts, this study seeks to determine factors affecting millennials’ perceptions of M-learning in higher education. An online questionnaire based on a fusion of the Technology and Acceptance Model with the Unified Theory of Acceptance and Use of Technology framework was used to survey 103 millennials at a university in a developing country. Structural Equation Modelling was used to analyze data. The findings revealed that social influence has a statistically significant impact on millennials’ intention to use M-learning. The geographical location and contextual environment may amplify social influence as a prime factor motivating millennials’ intention to use M-learning. Universities, governments, and other learning institutions should consider this for more suited provisioning of M-learning solutions in higher education.
Exploring the Chemical Composition of Female Zucchini Flowers for Their Possible Use as Nutraceutical Ingredient

The zucchini (Cucurbita pepo L.) plant is well known for its fruits; however, its edible flowers appear to contain several active molecules, including polyphenols, which display poor bioaccessibility after gastrointestinal digestion (GiD). This study explores the bioaccessibility of polyphenols and antioxidant capacity within zucchini flower extracts during simulated GiD. Two nutraceutical formulations, non-acid-resistant (NAcR) and acid-resistant (AcR) capsules containing an aqueous extract of zucchini flowers, were employed in this investigation. Additionally, high-resolution mass spectrometry (Q-Orbitrap HRMS) was utilized for a comprehensive analysis of their polyphenolic constituents. Predominantly, rutin and isorhamnetin-3-rutinoside were the most prevalent compounds detected in the samples (514.62 and 318.59 mg/kg, respectively). Following in vitro GiD, the extract encapsulated in AcR capsules exhibited enhanced bioaccessibility during both the duodenal (189.2 and 162.5 mg GAE/100 g, respectively) and colonic stages (477.4 and 344.7 mg GAE/100 g, respectively) when compared with the extract encapsulated in NAcR capsules. This suggests that gastric acidity adversely impacted the release of polyphenols from NAcR capsules. In conclusion, the aqueous zucchini flower extract emerges as a promising and readily accessible source of dietary polyphenols. Moreover, the utilization of AcR capsules presents a potential nutraceutical formulation strategy to improve polyphenol bioaccessibility, enhancing its applicability in promoting health and well-being.
Combination of anti-CGRP/CGRP-R mAbs with onabotulinumtoxin A as a novel therapeutic approach for refractory chronic migraine: a retrospective study of real-world clinical evidence and a protocol for a double-blind, randomized clinical trial to establish the efficacy and safety

Chronic migraine is a disabling neurovascular disorder that ranks amongst the top causes of years lived with disability worldwide. The duration and the frequency of migraine affect cognitive and affective domains, inducing worsening of memory, executive functions, orientation and causing anxiety. Population-based studies report a worrying level of resistance to treatments. Therefore, this study aims: 1) to assess efficacy of monoclonal antibodies (mAbs) directed towards the calcitonin gene-related peptide (CGRP) or its receptor (CGRP-R) for chronic migraine resistant to current preventatives; 2) to design a clinical trial protocol to evaluate the efficacy and safety of combination therapy utilizing anti-CGRP/CGRP-R together with onabotulinumtoxin A in patients suffering from resistant chronic migraine; 3) to provide a molecular rationale for combination therapy. A controlled trial is warranted as pooled analysis of real-world data from our group highlighted that combined treatment provides ≥50% reduction vs. baseline (onabotulinumtoxin A) of monthly headache days (MHDs) in up to 58.8% of patients, but there has been only sparse application of this combined therapy to date. The mAbs chosen are: erenumab, because its combination effect with onabotulinumtoxin A improved symptoms in 65% of patients; eptinezumab, due to its faster action. The results highlight that early diagnosis of migraine improves therapeutic outcomes with mAbs alone, confirming their effectiveness and the need for an adequately powered clinical trial evaluating the safety and potential superior effectiveness of eptinezumab/erenumab and onabotulinumtoxin A together.
Effectiveness of Self-Care Education for Chronic Neck Pain: A Systematic Review and Meta-Analysis

Self-care programs for chronic neck pain are relevant to everyday life and can lead to long- term improvement. More studies on their effectiveness, key components and appropriate duration are needed. The aim of this study was to determine the effectiveness of self-care programs for patients with chronic neck pain. A systematic review and meta-analysis of randomized controlled trials was conducted according to the PRISMA guidelines. After searching in PubMed, Web of Science, Scopus and ScienceDirect, eleven studies met the inclusion criteria. Self-care education interventions typically consisted of education (i.e., pain neuro-science education or general educational concepts) accompanied by exercise or manual therapy. The most frequent components were addressing physical and psychological symptoms and engaging in self-care strategies. The least frequent ones were monitoring and recording symptoms and discussing with providers of medical care. The duration of the interventions ranged from three sessions to six months. Finally, individual and supervised modalities were the most frequent. After pooling the data, a meta-analysis was carried out according to four variables (i.e., pain, disability, kinesiophobia and catastrophization) and showed significant results (p < 0.05) in favor of self-care interventions. This systematic review and meta-analysis suggests that self-education interventions improve pain, psychological pain-related variables and disability in patients with chronic neck pain. The most frequently used components were addressing physical and psychological symptoms and engaging in self-care strategies. Future trials should focus on including other components, such as discussing symptoms with providers of medical care or self-monitoring symptoms. Additional areas of focus include more homogeneous doses and comparator treatments, as well as studies with better evidence to reach more solid conclusions.
Do Alluvial Sand Dunes Create Energetic Refugia for Benthic Fishes? An Experimental Test with the Endangered Pallid Sturgeon

River modifications have altered critical habitats for fishes at a variety of spatial scales and caused global declines of many fluvial species. At small spatial scales (<1 m2), alluvial sand dunes, a ubiquitous habitat in highly modified rivers, are thought to provide energetic relief for benthic fishes in energetically costly riverine landscapes created by water flow. However, use of alluvial dune habitat is not well understood, and it is unclear whether dunes provide refuge that effectively reduces energetic costs. We designed a scale‐relevant experiment to examine the energetic responses associated with sand dune habitat in rivers. We tested whether the US federally endangered pallid sturgeon (Scaphirhynchus albus), a benthic fish commonly associated with sand dunes, experienced reduced energetic costs with different configurations of simulated sand dune habitat. We quantified mass specific oxygen consumption (MO2; mg O2 kg−1 h−1) using intermittent flow‐through respirometry for age‐0 sturgeon (140–170 mm) in front of a sand dune, behind a sand dune and in the absence of a sand dune at two velocities (25 and 50 cm s−1) commonly observed in field studies of sturgeon habitat use. Sturgeon displayed distinct station holding behaviours for each habitat configuration. Dune location did not affect energy expenditure, but sturgeon MO2 was on average 16–20% higher in the absence of a sand dune depending on dune configuration. MO2 was on average 14% higher at 50 cm s−1 compared with 25 cm s−1. Our results provide a potential mechanism for over two decades of research on why sturgeon and other benthic fishes exhibit selection for sand dune habitat in large rivers. Fishes that select main channel habitats may depend on energetic relief provided by sand dunes, especially when other forms of structure are not available. For this reason, alluvial sand dune habitat may be important to the persistence of benthic fishes in high flow environments. Copyright © 2017 John Wiley & Sons, Ltd.
THE INFLUENCE OF LEVERAGE, FINANCIAL DISTRESS AND TRANSFER PRICING ON TAX AVOIDANCE

Taxes are an expense for company which is in financial statement will reduce a net profit, so that the company will pay a tax expense as low as they can to get a maximum profit. Therefore, this study aims that I take to analyze the influence of Leverage, Financial Distress and Transfer Pricing on Tax Avoidance in mining companies listed on the Indonesia Stock Exchange with research period during 2017-2021. The Sampling of this study using purposive sampling method and obtained 20 companies with 88 sample. The technique that used in this study is date panel regression analysis with Eviews 12 Software. The result of this study indicate there is no influence between Leverage and Transfer Pricing on Tax Avoidance. Meanwhile, on the other hand, there is an influence between Financial Distress on Tax Avoidance.
Tracing the Evolutionary Pathways of Serogroup O78 Avian Pathogenic Escherichia coli

Avian pathogenic E. coli (APEC) causes severe economic losses in the poultry industry, and O78 serogroup APEC strains are prevalent in chickens. In this study, we aimed to understand the evolutionary pathways and relationships between O78 APEC and other E. coli strains. To trace these evolutionary pathways, we classified 3101 E. coli strains into 306 subgenotypes according to the numbers and types of single nucleotide polymorphisms (RST0 to RST63-1) relative to the consensus sequence (RST0) of the RNA polymerase beta subunit gene and performed network analysis. The E. coli strains showed four apparently different evolutionary pathways (I-1, I-2, I-3, and II). The thirty-two Korean O78 APEC strains tested in this study were classified into RST4-4 (45.2%), RST3-1 (32.3%), RST21-1 (12.9%), RST4-5 (3.2%), RST5-1 (3.2%), and RST12-6 (3.2%), and all RSTs except RST21-1 (I-2) may have evolved through the same evolutionary pathway (I-1). A comparative genomic study revealed the highest relatedness between O78 strains of the same RST in terms of genome sequence coverage/identity and the spacer sequences of CRISPRs. The early-appearing RST3-1 and RST4-4 prevalence among O78 APEC strains may reflect the early settlement of O78 E. coli in chickens, after which these bacteria accumulated virulence and antibiotic resistance genes to become APEC strains. The zoonotic risk of the conventional O78 APEC strains is low at present, but the appearance of genetically distinct and multiple virulence gene-bearing RST21-1 O78 APEC strains may alert us to a need to evaluate their virulence in chickens as well as their zoonotic risk.
Improved image recognition via Synthetic Plants using 3D Modelling with Stochastic Variations

This research extends previous plant modelling using L-systems by means of a novel arrangement comprising synthetic plants and a refined global wheat dataset in combination with a synthetic inference application. The study demonstrates an application with direct recognition of real plant stereotypes, and augmentation via a plant-wide stochastic growth variation structure. The study showed that the automatic annotation and counting of wheat heads using the Global Wheat dataset images provides a time and cost saving over traditional manual approaches and neural networks. This study introduces a novel synthetic inference application using a plant-wide stochastic variation system, resulting in improved structural dataset hierarchy. The research demonstrates a significantly improved L-system that can more effectively and more accurately define and distinguish wheat crop characteristics.
Acceptability, hesitancy and willingness to pay for COVID-19 vaccine among Lagos residents

Background: Coronavirus disease (COVID-19) is an infectious disease that has plagued the world beginning from 2019 when it was first discovered, laudable efforts have been made by science to produce vaccines to mitigate the effects of this disease. This study sought to assess the knowledge of COVID-19 and vaccine acceptability, hesitancy, willingness to pay and associated factors among Lagos residents.Methods: The study design was cross-sectional and descriptive with a mixed methods approach. Respondents (2924) residing in Lagos were selected for the study using multi-stage sampling technique. Data collection was done using an intervieweradministeredquestionnaire for quantitative data and a focus group discussion guide for qualitative data. Quantitative data analysis was done using the Statistical Package for the Social Sciences Version 23, while qualitative data was analysed thematically.Results: The study revealed that most respondents (81%) were aware that COVID-19 vaccines are available in Nigeria. Two-thirds (67%) of the respondents were willing to receive the vaccine (acceptance) and 48.2% were vaccine hesitant. Willingness to pay for the vaccine was quite low (18%) and this was also reflected in the focus group discussions. Educational status, income, occupation and knowledge were significant predictors of COVID-19 vaccine acceptance.Conclusion: The findings show higher than average rates of vaccine hesitancy although most respondents had good knowledge of COVID-19. Efforts by government agencies to improve community access to education, better occupations and incomes are recommended to improve vaccine acceptance.
A method of evaluating ADAS camera performance in rain : case studies
 with hydrophilic and hydrophobic lenses

—Advanced driver assistance systems (ADAS) are increasingly being equipped in modern vehicles to provide safety warnings and autonomous functions. Cameras are a key component in ADAS which collects critical environmental information as inputs. Similar to human vision, cameras suffer performance degradation in adverse weather conditions. The impacts of precipitation, such as raindrops on camera lenses, cause blurring and obstruction of camera vision, which subsequently affects ADAS performance. The relationships between camera image quality, object detection accuracy, and surface wettability of camera lenses are investigated for different driving-in rain conditions. The goal is to link camera performance with ADAS performance from a practical perspective. Moreover, the use of hydrophilic and hydrophobic camera lenses is explored to provide insights into material selection when designing camera lenses for ADAS. The rain characteristics perceived by a moving vehicle at different driving speeds are simulated using a patent pending rain simulation system implemented into a wind tunnel. It is found that droplet characteristics, such as size, shape, and motion, can impact the camera image quality and, subsequently, object detection accuracy. The results suggest that the use of hydrophobic camera lenses promotes better performance over hydrophilic lenses in most cases, while object detection capability is restored more effectively on the hydrophilic lens when a water film layer is formed.
Evaluation of the Impact of IKN Development on Increasing Tourism Sector Competitiveness, Increasing Tourist Income, and Increasing the Number of Tourism Visits: A Case Study on Tourist Destinations in East Kalimantan

This research investigates the impact of Information and Knowledge Networks (IKN) development on the tourism sector in East Kalimantan through a quantitative analysis. A sample of 150 participants, comprising tourists, local businesses, and stakeholders, provided insights into the relationships between IKN development and Increasing Tourism Sector Competitiveness, Increasing Tourist Income, and Increasing the Number of Tourism Visits. The study employed Structural Equation Modeling (SEM) with Partial Least Squares (PLS) to analyze the data. The measurement model assessment confirmed the reliability and validity of the constructs, while the structural model analysis revealed significant positive relationships between IKN development and the dependent variables. The overall model fit was assessed using various indices, and hypothesis testing supported the significance of the paths. The R-Square values indicated that the model effectively explains a substantial proportion of the variability in tourism outcomes. The findings contribute to the understanding of the role of IKN in shaping the tourism sector and offer practical implications for stakeholders in East Kalimantan.
A Systematic Approach to Climate Resilience Assessment of Infrastructure Networks

With a changing climate, the frequency and intensity of extreme weather events are likely to increase, posing a threat to infrastructure systems' resilience. The response of infrastructure systems to localized failures depends on whether assets are affected randomly, in a targeted strategic way, or in any way in between. More than that, infrastructure decisions today, including new routes or improvements to existing assets, will underpin the behavior of the systems over the next century. It is important to separate and analyze the case of climate-based disruptions and how they affect systems' resilience. This article presents a probabilistic resilience assessment framework where failure scenarios and network disruptions are generated using weather profile data from climate prediction models with component-level fragility functions. A case study is then carried out to quantify the resilience of Great Britain's railway passenger transport system to high-temperature-related track buckling under the Representative Concentration Pathway 8.5 climate change scenario. A 95-year horizon on the resilience of the railway system is drawn. The results reveal the nonlinear responses of the railway system to the increasing temperature and show that models considering random asset failures overestimate the system's resilience.