Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved test method for determination of the equiviscous temperature of asphalt binders

ABSTRACT In CEN/TS 15324 (2008), the equiviscous temperature (EVT) of an asphalt binder was recognized as a potential rutting indicator. A test method, which consisted of temperature sweep and frequency sweep, was developed to determine the EVT based on the concept of low shear viscosity (LSV). In this study, this test method was firstly evaluated in terms of its applicability. Several deficiencies were identified, which suggested the importance of determining the EVT of asphalt binders based on the actual zero shear viscosity (ZSV). Given the shortcoming of the test method in CEN/TS 15324 (2008), the objective of this study was to develop an improved test method for the determination of EVT of asphalt binders. A new test method, named as ZSV-based test method, was then proposed based on the shear rate sweep test and the Arrhenius equation. The ZSV-based test method consisted of three steps: temperature sweep, shear rate sweep and temperature sweep. Two neat asphalt binders and two SBS-modified asphalt binders were tested using the proposed test method, and the EVT of each asphalt binder was estimated using the Arrhenius equation. The EVT values determined using the proposed test method were demonstrated to be reliable and repeatable.
An Ultrasensitive Microsensor Based on Impedance Analysis for Oil Condition Monitoring

Oil condition monitoring is an important way to achieve mechanical equipment health assessment, condition early warning, fault diagnosis, and intelligent maintenance. A microsensor integrated with inductance-resistance and capacitance sensing units is presented, which can comprehensively detect metal debris, air bubbles, and moisture in oil based on impedance analysis. The inductance-resistance sensing unit not only detects traditional inductance parameter, but also proposes a resistance detection method based on coil to further improve the detection sensitivity for nonferromagnetic metal debris. The capacitance sensing unit can detect air bubbles, and a new moisture measurement method is also proposed. Based on the signal characteristics of inductance, resistance and capacitance detection results, the microsensor can effectively distinguish 16–500 μm iron debris, 60–500 μm copper debris, >170 μm air bubbles and moisture in oil. The ultrasensitive microsensor can obtain more oil status information, which has important value and wide engineering application prospect for modern fault diagnosis and prediction theory based on information fusion.
Aquatic Insect Bioconstructions Modify Fine‐Sediment Entrainment and Mobility

The importance of two‐way interactions between animals and the physical hydraulic and sedimentological environment are increasingly recognized (e.g., zoogeomorphology). Caddisflies (Trichoptera) are a group of aquatic insects known for their bioconstructions, particularly cases built from fine sediment and silk. Caddisfly cases differ in size, shape and density from the incorporated sediment, and case construction may therefore affect the mobility of these sediments in rivers. However, although communities of caddisfly often use substantial quantities of sediment in case construction, the effect of these bioconstructions on sediment transport in rivers is unknown. We use a flume experiment to compare the bed shear stress required to transport (a) empty caddisfly cases and (b) individual sediment particles, following disaggregation from the case. The cases of three species were considered; two that construct different styles of tubular case (Potamophlax latipennis and Sericostoma personatum) and one that builds a domed case (Agapetus fuscipes). P. latipennis and S. personatum cases were easier to entrain than the sediment grains incorporated into them, whilst A. fuscipes cases were not. Despite their low mass, A. fuscipes cases required the most shear stress to transport them because their domed shape impeded rolling. These findings are important to understand how differences in case design between species, reflect different adaptation strategies to the turbulent hydraulic river habitat. Furthermore, the results suggest that un‐attached tubular caddisfly cases may be preferentially transported over other particles on the river bed and thus, where caddisfly occur in high abundance, they may increase fluvial entrainment of sand.
Photobiomodulation of the Brain: Shining Light on Alzheimer's and Other Neuropathological Diseases.

Photobiomodulation (PBM) therapy refers to the non-thermal use of visible to near-infrared light (400 to 1100&nm) to stimulate many biological processes [1]. Nowadays, the applications of PBM therapy are extremely diverse in modern medicine, so that this light-driven modality has gained considerable credibility among the available therapeutic strategies. PBM therapy has been shown to be an effective strategy to promote microcirculation, cellular proliferation and regeneration, and to ameliorate pain, edema, oxidative stress, and inflammation in many traumatic, acute, and chronic diseases. Given this, there are numerous well-known medical applications where PBM therapy has a significant role to play, such as wound healing, muscle and tendon repair, autoimmune diseases, arthropathies, and esthetic applications [2]. The underlying molecular and cellular mechanisms of PBM therapy, rely on the absorption of photons by cytochrome c oxidase (CCO, the terminal enzyme in the mitochondrial
Assessing Survey Satisficing: The Impact of Unmotivated Questionnaire Responding on Data Quality

Education researchers use surveys widely. Yet, critics question respondents’ ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents’ (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better understand student satisficing—the practice of suboptimal responding on surveys—and its impact on data quality, we examined its pervasiveness and impact on a large-scale social–emotional learning survey administered to 409,721 elementary and secondary students. Findings indicated that despite the prevalence of satisficing, its impact on data quality appeared more modest than anticipated. We conclude by outlining an accessible approach for defining and calculating satisficing for researchers, practitioners, and policymakers.
Trends in COVID-19 Infected Cases and Deaths Based on Parametric and Nonparametric Regression Models

The present investigation was carried out to study the trends in COVID-19 infected cases and deaths based on the parametric, exponential smoothing and non-parametric regression models by using COVID-19 cumulative infected cases and deaths due to infections The statistically most suited parametric models are selected based on the highest adjusted R2, significant regression co-efficient and co-efficient of determination (R2). Appropriate model is selected based on the model performance measures such as, Root Mean Square Error, Mean Absolute Error, Mean Absolute Percentage Error, assumptions of normality and independence of residuals. Nonparametric estimates of underlying growth functions are computed at each and every time points.
2D Model of Transfer Processes for Water Boiling Flow in Microchannel

The modeling of transfer processes is a step in the generalization and interpretation of experimental data on heat transfer. The developed two-dimensional model is based on a homogeneous mixture model for boiling water flow in a microchannel with a new evaporation submodel. The outcome of the simulation is the distribution of velocity, void fraction and temperature profiles in the microchannel. The predicted temperature profile is consistent with the experimental literature data.
Meta‐heuristic optimization algorithm for predicting software defects

Software engineering companies strive to improve software quality by predicting software defects‐prone modules. Although various data mining methods have been developed, unstable accuracy rates are still critical issues owing to the imbalanced nature and high dimensionality of software defect datasets. To deal with this issue, we propose a spotted hyena, a novel meta‐heuristic optimization algorithm for predicting software defects. Support and confidence in classification rules are the basis of a multi‐objective fitness function that assists the spotted hyena algorithm in serving as a classifier by finding the fittest classification or standard rules among individuals. Experiments were conducted on four NASA software datasets, JM1, KC2, KC1, and PC3. The spotted hyena classifier provides an accuracy of 85.2, 84, 89.6, and 81.8%, respectively, for these datasets. These accuracy rates are better than those achieved using other popular data mining techniques. We also discuss other classification measures in connection with the experimental results, such as precision, recall, and confusion matrices, in connection with the experimental results. Moreover, the Gaussian mixture model is used to study the uncertainty quantification of the proposed classifier. The study proved the feasible performance of the spotted hyena classifier in four different case studies.
Protocol stack virtualization support in IoT

Massive IoT scenarios involve a huge number of devices where deployment, provisioning, and configuration are carried out without any human intervention. Well‐known mechanisms of resource discovery and management attempt to enable some of this functionality typically associated with zero‐configuration schemes. In this article, we explore the novel use of protocol stack virtualization (PSV) to provide flexibility in the deployment and management of constrained sensors, actuators, and controllers in massive IoT access networks. Specifically, these devices exhibit low power consumption that limits processor computational capabilities and transmission rates that affect, among other things, deployment and maintenance. In this scenario, we present and analyze an end‐to‐end PSV massive IoT solution. We describe the different building blocks, their interaction, and what role they play as part of the overall mechanism. Additionally, we focus on the performance of the solution by looking at how network impairments, like packet loss and latency, affect deployment of the virtualized protocol stacks.
Client characteristics associated with desire for additional services at syringe exchange programs

ABSTRACT Objectives The objective of this study was to explore the relationship between client characteristics and desired services offered at syringe exchange program (SEP) sites among women who inject drugs (WWID). We investigated whether a desire for additional services varied as a function of these client characteristics. Methods A sample of 69 women who were syringe exchange clients participated in a survey about adding services to syringe exchange programs. Three Poisson regression analyses were run to examine if client age, education, housing status, polysubstance use, and previous pregnancies were associated with overall desire for services, desire for health-related services, and desire basic needs services. Results Participant characteristics of polysubstance use (IRR 1.62, 95% CI 1.34–1.96; p < .01) and greater number of previous pregnancies (IRR 1.14, 95% CI 1.08–1.22; p < .05), were predictive of a greater number of desired services. Engagement in polysubstance use was predictive of a greater number of desired basic need services (IRR 1.45, 95% CI 1.23–1.70; p < .05). Conclusions WWID desired services at SEP sites can inform policymakers to formulate policies to better promote utilization of health-related and basic need services among WWID and, in turn, facilitate improved outcomes for WWID.
Are the consumers willing to pay more for local fruits and vegetables? An empirical research on Albanian consumers

The local food concept is analysed from a supply chain perspective and its positive environmental effects. Revitalised local economies, reduced greenhouse emissions, preservation of farmland and rural lifestyles associated with local products impacts consumer preferences by reflecting a positive attitude toward locally grown products. In addition, the health benefits of local products are more frequently evoked by consumers than those of organic-local products. However, the labelling of such products is used despite consumers and/or producers not being clear about the attributes conferred by the product locality. In this context, this paper aims to clarify the perception of Albanian consumers regarding local fruit and vegetables. The results show that the positive WTP for local food relies on the consumer concern about health and environmental issues. In the case of Albanian consumers, this is driven more by health, taste and environment. Sur-prisingly, environmental concern exceeds other attributes like price and origin. In this case, environmental issue overlaps health, and it is used as a surrogate indicator for the latter. This is due to the lack of trust in public authorities that fail to assure an efficient quality control process in the agriculture and food sector.
Trade-restricting impacts of non-tariff measures in Bangladesh

Abstract This paper estimates the bilateral trade costs between Bangladesh and its leading trading partners before investigating the factors that influence Bangladesh’s import costs, including the contribution of NTMs. To measure implied bilateral trade costs, we first deploy an inverse gravity equation. We then estimate the determinants of import trade costs at the HS 6-digit product level, applying PPML estimation techniques to a gravity model, using a unique new NTM database developed for the current study. Our results show that imports to Bangladesh are related in an expected way to common trade cost proxies and that NTMs negatively impact imports.
The Transposition of Energy Communities into Swedish Regulations: Overview and Critique of Emerging Regulations

One organizational innovation introduced by the clean energy for all Europeans package (CEP) is that of the energy community (EC), including the renewable energy community (REC) and citizen energy community (CEC). The translation of related directives into national legislation is underway in Sweden, and the Swedish Energy Market Inspectorate (Ei) has proposed a new law on ECs, which has been sent for consultation. This article analyzes the Ei proposal and the responses from the 27 referral bodies commenting on the new EC regulations. Positive aspects of the proposal were that it would be a law on ECs and that it would be easy to start and run an EC. Critics were concerned that the law was too vague, the relationship between existing cooperatives and the new ECs was not clear, both CEC and REC are used instead of only using one term, there is a lack of suggestions on supportive measures for ECs, ECs will have less favorable conditions than other micro-producers of electricity, there is a lack of barrier analysis and visions of a future of ECs, and finally, that the situation for marginalized households was not dealt with in the proposal.
Sprayable reduced graphene oxide based high‐temperature solar absorber coatings for concentrated solar power applications

Reduced graphene oxide (RGO) based composite non‐selective solar absorber coatings (RGO/silicate) were developed using a simple spray technique. RGO powders were prepared using the modified Hummers' method. RGO‐silicate suspensions were obtained by adding an appropriate quantity of RGO in a sodium silicate solution. Transmission electron microscopy studies showed the corrugated morphology of reduced graphene oxide powders. The presence of RGO in the composite absorber coatings was confirmed by X‐ray photoelectron spectroscopy data. In order to study the thermal stability, the coatings were deposited on stainless steel (SS) and Inconel substrates. The composite nonselective coating exhibited an absorptance (α) of 0.96 and emittance (ε) of 0.88 at 82°C on SS and Inconel substrates. The coatings sprayed on SS substrates showed good thermal stability for 428 hours at 500°C in air. The coatings sprayed on Inconel substrates were thermally stable in air at 600°C for 96 hours. The performance evaluation tests revealed that these coatings can be used for concentrated solar power applications.
Impact of the Ferroelectric Stack Lamination in Si Doped Hafnium Oxide (HSO) and Hafnium Zirconium Oxide (HZO) Based FeFETs: Toward High-Density Multi-Level Cell and Synaptic Storage

A multi-level cell (MLC) operation as a 1–3 bit/cell of the FeFET emerging memory is reported by utilizing optimized Si doped hafnium oxide (HSO) and hafnium zirconium oxide (HZO) based on ferroelectric laminates. An alumina interlayer was used to achieve the thickness independent of the HSO and HZO-based stack with optimal ferroelectric properties. Various split thicknesses of the HSO and HZO were explored with lamination to increase the FeFET maximum memory window (MW) for a practical MLC operation. A higher MW occurred as the ferroelectric stack thickness increased with lamination. The maximum MW (3.5 V) was obtained for the HZO-based laminate; the FeFETs demonstrated a switching speed (300 ns), 10 years MLC retention, and 104 MLC endurance. The transition from instant switching to increased MLC levels was realized by ferroelectric lamination. This indicated an increased film granularity and a reduced variability through the interruption of ferroelectric columnar grains. The 2–3 bit/cell MLC levels and maximum MW were studied in terms of the size-dependent variability to indicate the impact of the ferroelectric area scaling. The impact of an alumina interlayer on the ferroelectric phase is outlined for HSO in comparison to the HZO material. For the same ferroelectric stack thickness with lamination, a lower maximum MW, and a pronounced wakeup effect was observed in HSO laminate compared to the HZO laminate. Both wakeup effect and charge trapping were studied in the context of an MLC operation. The merits of ferroelectric stack lamination are considered for an optimal FeFET-based synaptic device operation. The impact of the pulsing scheme was studied to modulate the FeFET current to mimic the synaptic weight update in long-term synaptic potentiation/depression.
Spatial‐temporal evolution of injection‐induced earthquakes in the Weiyuan Area determined by machine‐learning phase picker and waveform cross‐correlation

Anthropogenic induced seismicity has been widely reported and investigated in many regions, including the shale gas fields in the Sichuan basin, where the frequency of earthquakes has increased substantially since the commencement of fracking in late 2014. However, the details of how earthquakes are induced remain poorly understood, partly due to lack of high‐resolution spatial‐temporal data documenting the evolution of such seismic events. Most previous studies have been based on a diffusive earthquake catalog constructed by routine methods. Here, however, we have constructed a high resolution catalog using a machine learning detector and waveform cross‐correlation. Despite limited data, this new approach has detected one‐third more earthquakes and improves the magnitude completeness of the catalog, illuminating the comprehensive spatial‐temporal migration of the emerging seismicity in the target area. One of the clusters clearly delineates a potential unmapped fault trace that may have led to the Mw 5.2 in September 2019, by far the largest earthquake recorded in the region. The migration of the seismicity also demonstrates a pore‐pressure diffusion front, suggesting additional constraints on the inducing mechanism of the region. The patterns of the highly clustered seismicity reconcile the causal link between the emerging seismicity and the activity of hydraulic fracturing in the region, facilitating continued investigation of the mechanisms of seismic induction and their associated risks.
Symptomatic Thyroglossal Duct Cyst Presenting With Synchronous and Localized Tongue Base Extranodal Mantle Cell Lymphoma. A Unique Case Report Demonstrating Lymphoma Colonization of Cyst Wall, Potentially Relating to a Persistent Embryological Foramen Cecum Remnant

A 77-year-old male presented with a progressively enlarging midline neck mass. On further investigation he was found to have synchronous thyroglossal duct cyst and extranodal mantle cell lymphoma (MCL) localized to the base of tongue. Both pathologies were managed simultaneously with a surgical approach and the patient remained in clinical remission at the time of publication without indication for systemic oncological treatment. Histology revealed primary extranodal nonblastoid MCL forming a base of tongue mass, with colonization of the thyroglossal duct cyst. Lymphoma was also found in the epithelium of a crypt-like tract traversing one of the tongue base tumor sections. This tract was anatomically and histologically consistent with documented descriptions of the foramen cecum. This case report illustrates a previously undescribed temporal, clinical, and histological association between a base of tongue MCL and symptomatic thyroglossal duct cyst. We provide evidence for a potential causal relationship for the presentation of the thyroglossal duct cyst as a result of oropharyngeal MCL, in the absence of clinical and histological evidence of disseminated disease, directly infiltrating from its tongue base origin to the infrahyoid neck region, potentially via an embryologic foramen cecum remnant. We also highlight the crucial role of the histopathologist in multidisciplinary clinicopathological discussion in demonstrating how fundamental embryological and microanatomical relationships can unite apparently separate diseases.
Learning How to Tailor Programmatic Offerings to Support Low-income, First-generation, and Racially Minoritized Student Success

This study focused on the process of how the staff at the Thompson Scholars Learning Community (TSLC), a comprehensive college transition program, tailored the programmatic offerings to meet the needs of low-income, first generation and racialized minority students. Because college students are complex individuals, each of whom faces a unique set of challenges and opportunities, it is reasonable to hypothesize that tailoring support services to the multiple needs of each student may make them more effective. The research identifies a four-part iterative and cyclical process to tailor the programmatic offerings for students – beginning with the individual student and then using information about individual needs to scale to broader group level tailoring. This broadening or scaling process is a new contribution to the literature that has not previously been identified. The tailored approach we identified works at both individual and group levels, which makes it viable as an intervention for large numbers of students. The effort to attend to and learn about individual students ensures that the intervention still meets the needs of individuals, but the testing of these interventions more broadly allows for understanding how these approaches will work for diverse group level tailoring.
The Multi-Agencies Dilemma of Delegation: Why Do Policymakers Choose One or Multiple Agencies for Financial Regulation?

The article asks the following question: Why do policymakers choose one (or more) agent(s) to perform new delegated policy functions? In order to shed light on the factors that drive policymakers' choice of a single or a multiple agencies delegation framework, the article investigates policymakers' choice to delegate macroprudential regulatory responsibility to either the central bank or to a committee made up of more than one financial regulator. Based on the analysis of an original dataset in 53 countries, we show that the choice among alternative delegation frameworks is driven by the logic of “policy control”: policymakers, who want to control policies with distributive consequences, choose the single agency model under conditions of political uncertainty and low agency independence.