Miracle-dz/UniFAR-FTUs huggingface dataset:
Wind-Induced Phenomena in Long-Span Cable-Supported Bridges: A Comparative Review of Wind Tunnel Tests and Computational Fluid Dynamics Modelling

Engineers, architects, planners and designers must carefully consider the effects of wind in their work. Due to their slender and flexible nature, long-span bridges can often experience vibrations due to the wind, and so the careful analysis of wind effects is paramount. Traditionally, wind tunnel tests have been the preferred method of conducting bridge wind analysis. In recent times, owing to improved computational power, computational fluid dynamics simulations are coming to the fore as viable means of analysing wind effects on bridges. The focus of this paper is on long-span cable-supported bridges. Wind issues in long-span cable-supported bridges can include flutter, vortex-induced vibrations and rain–wind-induced vibrations. This paper presents a state-of-the-art review of research on the use of wind tunnel tests and computational fluid dynamics modelling of these wind issues on long-span bridges.
Water Supply Portfolio Planning and Policy Evaluation under Climate Change: A Case Study of Central Taiwan

The present study examines the optimal water supply portfolio under the impact of climate change constructed by the authors previously. It incorporates feasibility planning for water supply projects, assesses a feasible water supply portfolio for central Taiwan, and uses the shadow price method to assess the rationality of the compensation policy for transferring agricultural water to ensure water supply security for the industrial sector. The study finds that Changhua and Yunlin have the highest per-unit costs of raw water, and the Nantou region has the highest carbon emission coefficient (carbon footprint) per unit of water produced. The cumulative value (2021–2031) of the water resources policy to reallocate agricultural water to achieve water supply security is about TWD 15.904–31.13 billion. The shadow price of industrial water is about TWD 40.18/cubic meter. Therefore, a compensation price for agricultural water transfer of less than TWD 40.18/cubic meter represents a rational policy.
Machine Learning in Healthcare Communication

Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelligence. While healthcare communication is important in order to tactfully translate and disseminate information to support and educate patients and public, ML is proven applicable in healthcare with the ability for complex dialogue management and conversational flexibility. In this topical review, we will highlight how the application of ML/AI in healthcare communication is able to benefit humans. This includes chatbots for the COVID-19 health education, cancer therapy, and medical imaging.
Design and Realization of a Frequency Reconfigurable Multimode Antenna for ISM, 5G-Sub-6-GHz, and S-Band Applications

This paper presents the design and realization of a compact size multimode frequency reconfigurable antenna. The antenna consists of a triangular-shaped monopole radiator, originally inspired from a rectangular monopole antenna. Slots were utilized to notch the desired frequency while the PIN diodes were utilized to achieve frequency reconfigurability. The antenna can operate in wideband, dual-band, or tri-band mode depending upon the state of the diodes. To validate the simulation results, a prototype was fabricated, and various performance parameters were measured and compared with simulated results. The strong agreement between simulated and measured results along with superior performance as compared to existing works in the literature makes the proposed antenna a strong candidate for ISM, 5G-sub-6 GHz, and S-band applications.
The Effects of Terrorist Attacks on Inventor Productivity and Mobility

We examine the causal effects of terrorism on inventor productivity and mobility. During the five-year window after terrorist attacks, inventors close to the strikes are more likely to move to distant companies. While the inventors that continue working for firms near the attacks exhibit a drastic productivity decline, those that relocate to faraway companies do not. These results prove robust to alternative specifications and numerous controls including the influence of the 9/11 attacks. Our findings provide novel insights about the impact of shocks that distort human capital productivity and promote the mobility and reallocation of specialized resources among firms.
Performance implications of technological uncertainty, age, and size for small businesses

ABSTRACT Small businesses face multiple sources of uncertainty that can hold negative implications for performance by magnifying liabilities of newness and/or exacerbating resource inadequacies. However, technological uncertainty may hold positive implications for performance by creating opportunities that small businesses are better enabled to exploit. These implications are largely unexamined in prior research, particularly for smaller/micro businesses. We theorize and examine these implications and find positive performance effects from technological uncertainty that are greater for younger and smaller businesses and robust among the smallest “micro” businesses. Results suggest that higher levels of technological uncertainty may create conditions for performance advantages for small businesses, but these advantages dissipate among older/larger businesses, holding interesting implications for research and practice.
Stabilization by delay feedback control for highly nonlinear switched stochastic systems with time delays

This paper firstly discusses the existence and boundedness of unique global solution for highly nonlinear switched stochastic systems (SSSs) with time delays, where the switching signal is deterministic switching signal. Although the existence and boundedness of unique global solution can be obtained under local Lipschitz condition and Khasminskii‐type condition, highly nonlinear SSSs with time delays may not be stable. Therefore, a delay feedback control function can be designed for studying the stability of highly nonlinear SSSs with time delays, whose coefficients do not satisfy the linear growth condition. By using the Mathematical induction, Lyapunov function approach and the average dwell time method, H∞ stability and the pth moment exponential stability are studied for highly nonlinear SSSs with time delays. An explanatory example is given to illustrate the effectiveness of the main results.
The impact of cone beam computed tomography in diagnosis and endodontic treatment planning decisions - case reports

Conventional radiographic techniques have limitations, showing a two-dimensional image of a three-dimensional object, making it difficult to recognize the internal root anatomy in endo-dontic therapy. Cone-beam computed tomography (CBCT) is a diagnostic method that allows the visualization of all structures three-dimensionally, showing promising results compared to periapical radiographs. The objective of this study was to report two clinical cases where CBCT was fundamental to the diagnosis and a better treatment planning of the steps that were taken during the endodontic intervention. The CBCT were performed prior to the treat-ments, the volume of the exams were dynamically analyzed in specific software. The data were interpreted and together with the radiographic image and clinical examination data, the diagnosis and treatment planning were carried out. Given the report and discussion of the two clinical cases, it can be concluded that CBCT proved to be an impacting resource to support diagnosis and decision-making in the treatment of complex endodontic cases. CBCT ensured greater reliability in the diagnosis and treatment plan adopted, increasing the predictability of the endodontic therapy.
Adaptive passive balancing in battery management system for e‐mobility

Balancing the lithium‐ion battery pack is essential to enhance the energy usage and life cycle of the battery. This paper analyses passive cell balancing method of Li‐ion battery for e‐mobility application based on the energy loss and cost estimation through simulation and hardware implementation. As a part of the simulation, an electrical equivalent circuit battery model is developed and model parameters are obtained using electrochemical impedance spectroscopy test. The experimented passive balancing topologies include a switched shunting resistor circuit with appropriate control logic. Final voltage‐based balancing algorithm is implemented to balance the cells at high state of charge. Experimental results are compared against the theoretical investigation. Based on the outcome of this experiment, the most significant characteristics of the passive balancing system can be developed by considering the impact on the battery performance, energy loss, and cost.
The Prospects of Using EEG in Tourism and Hospitality Research

This study investigates the prospects of using electroencephalography (EEG) in tourism and hospitality research. It first discusses the concept and importance of EEG. Then, it systematically reviews articles that have used EEG to measure psychophysiological responses in business and management. The review mainly discusses EEG themes/theories/concepts and EEG methods and indices. Based on the review, this study analyses main challenges of applying EEG and suggests solutions to solve them. It finally proposes some future applications of EEG in tourism and hospitality. This study is one of the first to offer a better understanding of the literature, analysis methods, and theories/concepts associated with EEG, informing future EEG applications in tourism and hospitality research.
Self‐supervised learning with randomised layers for remote sensing

This letter presents a new self-supervised learning approach based on randomised layers for remote sensing. Our method is basically based on the Tile2Vec approach, which is one of the state-of-the-art self-supervised learning approaches for remote sensing. Unlike the original Tile2Vec algorithm, we reformulate the triplet loss as a classiﬁcation loss. We use several fully connected layers with binary cross-entropy loss instead of no fully connected layers with triplet loss of the original Tile2Vec. We observe that not updating the fully connected layers is more helpful in obtaining more robust representations.The proposed al-gorithm is veriﬁed and evaluated by applying it to a cropland data layer classiﬁcation task. The experimental results show that our approach is superior to the original Tile2Vec approach in all experiments based on random forest, logistic regression, and multi-layer classiﬁers.
Verbal Intelligence, Not Level of Education, Robustly Assesses Cognitive Reserve

Background: Cognitive reserve is most commonly measured using socio-behavioural proxy variables. These variables are easy to collect, have a straightforward interpretation, and are widely associated with reduced risk of dementia and cognitive decline in epidemiological studies. However, the specific proxies vary across studies and have rarely been assessed in complete models of cognitive reserve (i.e., alongside both a measure of cognitive outcome and a measure of brain structure). Complete models can test independent associations between proxies and cognitive function in addition to the moderation effect of proxies on the brain-cognition relationship. Consequently, there is insufficient empirical evidence guiding the choice of proxy measures of cognitive reserve and poor comparability across studies.Method: We assessed the validity of 5 common proxies (education, occupational complexity, verbal intelligence, leisure activities, and exercise) and all possible combinations of these proxies in 2 separate community-dwelling older adult cohorts: The Irish Longitudinal Study on Ageing (TILDA; N = 313, mean age = 68.9 years, range = 54 – 88) and the Cognitive Reserve/Reference Ability Neural Network Study (CR/RANN; N = 234, mean age = 64.49 years, range = 50 – 80). 15 models were created with 3 brain structure variables (grey matter volume, hippocampal volume, and mean cortical thickness) and 5 cognitive variables (verbal fluency, processing speed, executive function, episodic memory, and global cognition). Results: No moderation effects were observed. There were robust positive associations with cognitive function, independent of brain structure, for 2 individual proxies (verbal intelligence and education), and 16 composites (i.e., combinations of proxies). Verbal intelligence was statistically significant in all models. Education was significant only in models with executive function as the cognitive outcome variable. Three robust composites were observed in more than two thirds of brain-cognition models: the composites of 1) occupational complexity and verbal intelligence, 2) education and verbal intelligence, and 3) education, occupational complexity and verbal intelligence. However, no composite had larger average effects nor was more robust than verbal intelligence alone.Conclusion: These results suggest that researchers using proxy variables to measure cognitive reserve should use verbal intelligence where possible.
Identities in and around organizations: Towards an identity work perspective

There is an emergent identity work perspective that draws on multiple intertwined streams of established identities theorizing and identities-related research. This perspective is characterized loosely by five broad sets of assumptions: (i) selves are reflexive and identities actively worked on, both in soliloquy and social interaction; (ii) identities are multiple, fluid and rarely fully coherent; (iii) identities are constructed within relations of power; (iv) identities are not helpfully described as either positive or authentic; and (v) identities are both interesting per se and integral to processes of organizing. Recognition of an emergent identity work perspective is valuable in part because this may act as a counterbalance to centrifugal tendencies – fed by myopia, insularity and ethnocentrism – which might otherwise lead to blinkered research and fragmentation. The contribution of this article is to provide a baseline for identity work scholars, and to promote collective critical reflection on identities in and around organizations.
Novel Structures and Applications of Graphene-Based Semiconductor Photocatalysts: Faceted Particles, Photonic Crystals, Antimicrobial and Magnetic Properties

Graphene, graphene oxide, reduced graphene oxide and their composites with various compounds/materials have high potential for substantial impact as cheap photocatalysts, which is essential to meet the demands of global activity, offering the advantage of utilizing “green” solar energy. Accordingly, graphene-based materials might help to reduce reliance on fossil fuel supplies and facile remediation routes to achieve clean environment and pure water. This review presents recent developments of graphene-based semiconductor photocatalysts, including novel composites with faceted particles, photonic crystals, and nanotubes/nanowires, where the enhancement of activity mechanism is associated with a synergistic effect resulting from the presence of graphene structure. Moreover, antimicrobial potential (highly needed these days), and facile recovery/reuse of photocatalysts by magnetic field have been addresses as very important issue for future commercialization. It is believed that graphene materials should be available soon in the market, especially because of constantly decreasing prices of graphene, vis response, excellent charge transfer ability, and thus high and broad photocatalytic activity against both organic pollutants and microorganisms.
Gene expression and immune response of pacific white shrimp given Bacillus NP5 probiotic and honey prebiotic and Vibrio parahaemolyticus infection

ABSTRACT The present study aimed to evaluate the growth performance, immune response, and immunity-related genes in white shrimp given the Bacillus sp. (NP5) probiotic and honey prebiotic and V. parahaemolyticus infection. This study consisted of five treatments: NP5, honey, synbiotic (honey and NP5), positive control (PC), and negative control (NC), respectively. The results of this study demonstrated that the administration of the NP5, honey, and synbiotic could improve the growth performance, immune response, and expression of immunity-related genes with the best results in the synbiotic treatment, also better than those in treatment PC, both after the treatments and after the challenge test. The survival rate post-challenge test revealed that the results for treatment with NP5, honey, and synbiotic were higher (73.3–86.7%) than that of treatment PC (50.0%). In conclusion, the administration of NP5, honey, and synbiotic could improve the growth performance and immunity of white shrimp against V. parahaemolyticus infection.
Producing Energy-Rich Microalgae Biomass for Liquid Biofuels: Influence of Strain Selection and Culture Conditions

Energy-storage metabolites such as neutral lipids and carbohydrates are valuable compounds for liquid biofuel production. The aim of this work is to elucidate the main biological responses of two algae species known for their effective energy-rich compound accumulation in nitrogen limitation and day–night cycles: Nannochloropsis gaditana, a seawater species, and Parachlorella kessleri, a freshwater species. Lipid and carbohydrate production are investigated, as well as cell resistance to mechanical disruption for energy-rich compound release. Nitrogen-depleted N. gaditana showed only a low consumption of energy-storage molecules with a non-significant preference for neutral lipids (TAG) and carbohydrates in day–night cycles. However, it did accumulate significantly fewer carbohydrates than P. kessleri. Following this, the highest levels of productivity for N. gaditana in chemostat cultures at four levels of nitrogen limitation were found to be 3.4 and 2.2 × 10−3 kg/m2·d for carbohydrates and TAG, respectively, at 56%NO3 limitation. The cell disruption rate of N. gaditana decreased along with nitrogen limitation, from 75% (at 200%NO3) to 17% (at 13%NO3). In the context of potentially recoverable energy for biofuels, P. kessleri showed good potential for biodiesel and high potential for bioethanol; by contrast, N. gaditana was found to be more efficient for biodiesel production only.
Prey delivery to a breeding colony of Caspian Terns Hydroprogne caspia on the west coast of South Africa

The Caspian Tern Hydroprogne caspia is widely distributed, but it is rare and little studied in southern Africa. We recorded the prey delivered by Caspian Terns to a breeding colony near the Berg River Estuary on the west coast of South Africa over two seasons (2013 and 2014) using a non-invasive photo-sampling approach. A total of 1 541 prey were identified (90% of prey photographed). At least 18 fish species were recorded, including both marine and estuarine species, indicating that breeding terns foraged in the Berg River Estuary, 7 km from the colony, as well as in St Helena Bay. Southern Mullet Liza richardsonii were the main prey in both seasons (57.6% overall), followed by gobies (15.6%, including Pelagic Goby Sufflogobius bibarbatus), Elf Pomatomus saltatrix (4.7%) and Cape Silverside Atherina breviceps (3.2%). The standard length of mullet ranged from 30 mm to 215 mm (mean ± SD: 101 ± 36 mm). Parents delivered significantly smaller mullet to small chicks than large chicks and partners. The terns lost 3.1% of prey to kleptoparasitism by Kelp Gulls Larus dominicanus (2.6%) and conspecifics (0.5%). Attacks occurred while in flight or as they landed to deliver their prey. Some adults ‘pseudo-swallowed’ prey items while pursued in flight to deter kleptoparasitic attacks. Our study confirms that Caspian Terns exploit a wide range of prey and it is unlikely that the abundance of suitable prey limits their population in the region.
Mode matching analysis of a novel transmission line with two centrosymmetric longitudinal slots

In this paper, the mode matching (MM) method is applied to analyze the dispersion of the newly proposed transmission line (TL), centrosymmetric double-slotted line (CSDSL). For simplicity, the lateral metallic vias are replaced with the electric walls (EWs). Furthermore, four magnetic walls (MWs) are added to guarantee the boundary condition (BC) of MM. The proposed method is compared with the 3D electromagnetic field analysis (HFSS). The result shows a good agreement between the dispersions of the dominant mode obtained using MM method and HFSS. Additionally, the dispersions of the higher modes of CSDSL are also provided using the proposed method with convergent results.
STUDY OF DETONATION PARAMETERS OF POLYNITROADAMANTANES, POTENTIAL NEW EXPLOSIVES. I. MOLECULAR MASS/DENSITY AND OXYGEN CONTENT/SENSITIVITY RELATIONSHI PS

Molecular mass/density and oxygen content/sensitivity relationships of polynitroadamantanes and their aliphatic counterparts, important for their explosive properties, were studied. Densities, sensitivities and detonation properties of polynitroadamantanes obtained/calculated are the same as those of standard high explosives. Some of them might have better characteristics than TNT, and similar ones to pentrit and hexogen, respectively. Their aliphatic counterparts might be exceptionally sensitive and could have a high energy content, which excludes them from possible use as high explosives.
Sticking temperature investigations of glass/metal contacts: Determination of influencing parameters

Sticking experiments between hot viscous glass and metallic substrates have been performed with a glass press apparatus on a laboratory scale, allowing a precise determination of the sticking temperatures, T s , versus selected experimental parameters (nature of the substrate, composition of the glass). Complementary surface analyses have also been carried out to identify the surface and interface reaction products following the glass/metal contact. Experimental results have been compared to ternary phase diagrams, in order to test the reliability of thermodynamic calculations to predict the nature of the phases produced by the contact at high temperature. The sticking phenomenon is governed by a coupling between the rheological behaviour of the glass melt and the physicochemical reactivity of the contacting surfaces. Sticking occurs when the temperature at the interface remains sufficiently high, so that the glass viscosity remains low enough to enhance the real contact area and thus, to induce physicochemical interactions between substrate and glass. Sticking is attributed to the presence of an interfacial oxide layer which strongly adheres onto the glass. Chemical analysis of the sticking surfaces identifies a physicochemical driving force contributing to the sticking phenomenon. The predominant reaction consists in the reduction of the sodium oxide of the glass at the expense of the oxidation of the metallic elements of the substrate during pressing, in agreement with thermochemical calculations presented by the ternary phase diagrams. The strong chemical reactivity of the soda-lime-silica glass is thus attributed in particular to the highly reactive sodium oxide constituent.