Miracle-dz/UniFAR-FTUs huggingface dataset:
First-Principles Design of New Electrodes for Proton-Conducting Solid-Oxide Electrochemical Cells: A-Site Doped Sr2Fe1.5Mo0.5O6−δ Perovskite

Electrolyzer and fuel cells based on proton-conducting solid-oxide ceramics (PC-SOEC/FC) are gaining wide interest as promising green technologies for H2 production and conversion. Despite major advances in PC electrolytes, large-scale deployment of PC-SOEC/FC has been hindered by severe limitations at electrodes, which must ensure catalytic activity, electronic conduction, and high proton diffusion rates. Designing electrodes with mixed proton and electron conduction capability represents a great challenge. Several attempts have been based on composite materials made of common electrocatalysts and PC electrolytes, but the resulting electrodes have often suffered stability and conductivity problems. Inspired by the good performance in PC regime of some perovskite oxides, here we propose an alternative approach by designing a new single-phase triple-conducting oxide (TCO) from the recently proposed and well-tested mixed ion-electron conductive electrocatalyst Sr2Fe1.5Mo0. 5O6−δ (SFMO) double perovskite. We .
Multi-Attribute Analysis of Contemporary Cultural Buildings in the Historic Urban Fabric as Sustainable Spaces—Krakow Case Study

This study concerns contemporary cultural buildings in the historic city centre of Krakow, Poland, and their assessment in terms of sustainability. The paper aims to bridge a research gap in previous studies on pluralistic values and the impact of cultural heritage on sustainability. The comparative case study conducted in Krakow aims to evaluate the functioning and potential of the space towards achieving the following five goals: accessibility, conservation, mix of functions, aesthetics, comfort and sociability. The perception of these buildings and the public space around them by the city residents, as well as their operation during unexpected circumstances, such as the COVID-19 pandemic, were also evaluated. The author combined an on-site analysis, behavioural mapping and a survey. The results correlate the liveability and aesthetics of public spaces along with the amount and quality of greenery found there with the comfort of users and the popularity of particular places. This paper highlights how important it is to create cultural spaces in a historic city to develop a range of their activities linked to the surrounding public spaces and green areas. Activating cultural spaces and connecting them to sustainability goals is especially important when faced with declining tourism.
Cultural closure and social mobility: a critical examination of festival governance structures as exclusive social spaces

ABSTRACT Festival producers used their professional cultural expertise to navigate tensions between local and national policies in order to access resources from different funding sources. They did this according to tacit values which defined ‘excellence’ in their artistic fields rather than local communities’ cultural interests. In exploring festival production this paper contributes a critical understanding of how festivals’ governance institutions became exclusive social spaces that, through professional closure based on obscure ‘cultural value’ criteria, limited rather than facilitated social mobilities. In illuminating the role of art forms, funders and festival governance structures as exclusive in-groups, the study runs contrary to common academic and policy narratives which envision festivals as inherently open spaces. Consequently, the paper argues policy makers seeking to achieve socio-cultural outcomes through festivals carefully consider the festival’s cultural field and who is included or excluded from its governance.
Role of infectious diseases pharmacists in outpatient intravenous and complex oral antimicrobial therapy: Society of Infectious Diseases Pharmacists insights

Outpatient parenteral antimicrobial therapy (OPAT) is a well‐established mechanism to facilitate patient discharge, lower inpatient admission cost, and decrease the risk of health care–acquired infections. Although there are numerous benefits to patients and health care institutions, OPAT is complex and not without risks. Patients may be discharged on long courses of oral antimicrobials, known as complex outpatient antimicrobial therapy (COpAT), which also requires careful monitoring and oversight. This, coupled with the need for antimicrobial stewardship across the continuum of care, positions pharmacists with infectious diseases (ID) training as crucial leaders in the field of OPAT. The development, implementation, and maintenance of these services requires the careful attention of health care personnel in discharge antimicrobial selection, continuity of care at key care transitions, implementation of optimal care bundles, provision of thorough patient education throughout the OPAT process, coordination with a multidisciplinary team including home infusion and nursing, and monitoring of program metrics to determine successes and opportunities for improvement. Ongoing support for optimal delivery of patient care will be required as OPAT practice, and health care delivery at large, continues to evolve. This involves continued advocacy for collaborative practice development, optimizing payment for nondispensatory OPAT services, and integration of effective telehealth programs. This article summarizes the need for practice expansion of ID pharmacist specialists in OPAT/COpAT management across the care continuum and best practices for establishment of these services.
Optical data transmission at ultrahigh speeds, beyond 40Tb/s, based on a soliton crystal micro-comb chip source

Micro-combs [1-4] - optical frequency combs generated by integrated micro-cavity resonators – offer the full potential of their bulk counterparts [5,6], but in an integrated footprint. The discovery of temporal soliton states (DKS – dissipative Kerr solitons) [4,7-11] as a means of mode-locking micro-combs has enabled breakthroughs in many fields including spectroscopy [12,13], microwave photonics [14], frequency synthesis [15], optical ranging [16,17], quantum sources [18,19], metrology [20,21] and more. One of their most promising applications has been optical fibre communications where they have enabled massively parallel ultrahigh capacity multiplexed data transmission [22,23]. Here, by using a new and powerful class of micro-comb called “soliton crystals” [11], we achieve unprecedented data transmission over standard optical fibre using a single integrated chip source. We demonstrate a line rate of 44.2 Terabits per second (Tb/s) using the telecommunications C-band at 1550nm with a spectral efficiency – a critically important performance metric - of 10.4 bits/s/Hz. Soliton crystals exhibit robust and stable generation and operation as well as a high intrinsic efficiency that, together with a low soliton micro-comb spacing of 48.9 GHz enable the use of a very high coherent data modulation format of 64 QAM (quadrature amplitude modulated). We demonstrate error free transmission over 75 km of standard optical fibre in the laboratory as well as in a field trial over an installed metropolitan optical fibre network. These experiments were greatly aided by the ability of the soliton crystals to operate without stabilization or feedback control. This work demonstrates the capability of optical soliton crystal micro-combs to perform in demanding and practical optical communications networks.
Short-Term Load Forecasting Using Neural Networks with Pattern Similarity-Based Error Weights

Forecasting time series with multiple seasonal cycles such as short-term load forecasting is a challenging problem due to the complicated relationship between input and output data. In this work, we use a pattern representation of the time series to simplify this relationship. A neural network trained on patterns is an easier task to solve. Thus, its architecture does not have to be either complex and deep or equipped with mechanisms to deal with various time-series components. To improve the learning performance, we propose weighting individual errors of training samples in the loss function. The error weights correspond to the similarity between the training pattern and the test query pattern. This approach makes the learning process more sensitive to the neighborhood of the test pattern. This means that more distant patterns have less impact on the learned function around the test pattern and lead to improved forecasting accuracy. The proposed framework is useful for a wide range of complex time-series forecasting problems. Its performance is illustrated in several short-term load-forecasting empirical studies in this work. In most cases, error weighting leads to a significant improvement in accuracy.
Applying Wavelet Filters in Wind Forecasting Methods

Wind is a physical phenomenon with uncertainties in several temporal scales, in addition, measured wind time series have noise superimposed on them. These time series are the basis for forecasting methods. This paper studied the application of the wavelet transform to three forecasting methods, namely, stochastic, neural network, and fuzzy, and six wavelet families. Wind speed time series were first filtered to eliminate the high-frequency component using wavelet filters and then the different forecasting methods were applied to the filtered time series. All methods showed important improvements when the wavelet filter was applied. It is important to note that the application of the wavelet technique requires a deep study of the time series in order to select the appropriate family and filter level. The best results were obtained with an optimal filtering level and improper selection may significantly affect the accuracy of the results.
Physiological and transcriptomic analysis of Pinus massoniana seedling response to osmotic stress

Masson pine (Pinus massoniana Lamb.) is an important tree species of high economic value in southern China, but osmotic stress threatens its growth and development. In this study, physiological measurements and RNA-Seq analysis were used to clarify the physiological and molecular responses of P. massoniana under osmotic stress. Osmotic treatment caused cell membrane damage and reactive oxygen species (ROS) accumulation in the tree seedlings, but it also increased their antioxidant enzyme (superoxide dismutase, peroxidase, and catalase) activities and osmotic substances (soluble sugars, proline, and trehalose) content so as to adjust to osmotic stress conditions. A total of 1 789 differentially expressed genes (DEGs) were identified by transcriptome sequencing, of which 962 were up-regulated and 827 genes down-regulated. A series of stress-induced genes associated with signal transduction, ROS-scavenging, osmotic regulation, late embryogenesis abundant (LEA) protein, pentatricopeptide repeat-containing protein, and transcription factors' regulation were distinguishable. This detailed investigation of the stress-responsive genes and pathways provides new insight into molecular mechanism of abiotic stress response in P. massoniana. Further, this study's data can contribute to genetic engineering or molecular breeding efforts to enhance osmotic resistance in P. massoniana stands.
Enhancement of Surface Runoff Quality Using Modified Sorbents

The objective of this study was to develop and test nanoparticle- and polymer-based bioactive amended sorbents to enhance stormwater runoff treatment in best management practices (BMPs). Red cedar wood and expanded shale were the sorbents tested. Red cedar wood chips (RC) were modified with 3-(trihydroxysilyl) propyldimethyloctadecyl ammonium chloride (TPA) and silver nanoparticles (AgNPs) at different mass loadings (0.36 mg/g, 0.67 mg/g, and 0.93 mg/g for TPA and 0.33 mg/g and 0.68 mg/g for AgNPs) to simultaneously improve the sorption of organic and inorganic contaminants and pathogenic deactivation in BMPs treating stormwater runoff. Unmodified expanded shale is often used as a filter material for stormwater treatment and was used as a base comparison. The results showed that TPA and AgNPs loading onto red cedar increased the Langmuir maximum sorption coefficient (Q) for polycyclic aromatic hydrocarbons, up to 35 fold and 29 fold, respectively, compared to unmodified red cedar. In the case of heavy met.
Choice of Modern Food Distribution Channels and Its Welfare Effects: Empirical Evidence from Taiwan

The determinants and/or economic effects of modern food distribution channels have attracted much attention in previous research. Studies on the welfare consequences of modern channel options, however, have been sparse. Based on a broader definition of modern food distribution channels including midstream processors and downstream retailers (supermarkets, hypermarkets, brand-named retailers), this study contributes to the existing body of knowledge by exploring the distributional implications of farm households’ choice of modern food distribution channels using a large and unique farm household dataset in Taiwan. Making use of the two-step control function approach, we identify the effect of modern food distribution options on farm households’ profitability. The results reveal selling farm produce to modern food distributors does not produce a positive differential compared to the traditional outlets. Another dimension of farm household welfare affected by the choice of modern food distribution channel is income inequality. We apply the Lerman and Yitzhaki decomposition approach to gain a better understanding of the effect of the marketing channel option on the overall distribution of farm household income. The Gini decomposition of different income sources indicates that the choice of modern food distribution channels results in an inequality-equalizing effect among the farm households in Taiwan, suggesting the inclusion of smallholder farmers in the modern food distribution channels improves the overall welfare of the rural society.
Broadband metasurface for independent control of reflected amplitude and phase

We propose an ultra-thin metasurface to control the amplitudes and phases independently of the reflected waves by changing geometries and orientations of I-shaped metallic particles. We demonstrate that the particles can realize independent controls of reflection amplitudes and phases with a magnitude range of [0, 0.82] and a full phase range of 360° in broad frequency band. Based on such particles, two ultrathin metasurface gratings are further proposed to form anomalous reflection with polarization orthogonal to the incident waves. The simulated and measured results of the presented metasurfaces show very good agreements. The proposed method has potential applications in engineering high-efficiency holography and complex electromagnetic and optical patterns.
Exploring correlates of implicit curriculum for accreditation outcomes evaluation: results of student evaluations

ABSTRACT When the focus of the accreditation process for social work programs in the United States shifted to competency-based student achievement in 2008 the overall student experience in a program seemed to be sidelined. Another shift in these standards in 2015 renewed attention on the student experience, through a required assessment of the implicit curriculum. This study examines student evaluation of the implicit curriculum of more than 50 undergraduate and graduate social work programs using the Social Work Educational Assessment Package (SWEAP) Exit Instrument. Individual student and program characteristics were explored for their relationship to student assessment of the implicit curriculum. This quantitative, non-experimental, secondary data analysis utilized descriptive, bivariate and regression analyses of over 1400 individual student responses. Findings indicate that age, race, gender, and disability are all characteristics that have significant relationships to student evaluation of various aspects of the implicit curriculum. Recommendations for attention to the implicit curriculum for social work programs are discussed in light of the findings.
A century of change: Reconstructing the biogeochemical history of Hubbard Brook

Ecosystems constantly adjust to altered biogeochemical inputs, changes in vegetation and climate, and previous physical disturbances. Such disturbances create overlapping ‘biogeochemical legacies’ affecting modern nutrient mass balances. To understand how ‘legacies’ affected watershed‐ecosystem (WEC) biogeochemistry during five decades of studies within the Hubbard Brook Experimental Forest (HBEF), we extended biogeochemical trends and hydrologic fluxes back to 1900 to provide an historical framework for our long‐term studies. This reconstruction showed acid rain peaking at HBEF in the late 1960s‐early 1970s near the beginning of the Hubbard Brook Ecosystem Study (HBES). The long‐term, parabolic arc in acid inputs to HBEF generated a corresponding arc in the ionic strength of stream water, with acid inputs generating increased losses of H+ and soil base cations between 1963 and 1969 and then decreased losses after 1970. Nitrate release after disturbance is coupled with previous N‐deposition and storage, biological uptake, and hydrology. Sulfur was stored in soils from decades of acid deposition but is now nearly depleted. Total exports of base cations from the soil exchange pool represent one of the largest disturbances to forest and associated aquatic ecosystems at the HBEF since the Pleistocene glaciation. Because precipitation inputs of base cations currently are extremely small, such losses can only be replaced through the slow process of mineral weathering. Thus, the chemistry of stream water is extremely dilute and likely to become even more dilute than pre‐Industrial Revolution estimates. The importance of calculating chemical fluxes is clearly demonstrated in reconstruction of acid rain impacts during the pre‐measurement period. The aggregate impact of acid rain on WEC exports is far larger than historical forest harvest effects, and even larger than the most severe deforestation experiment (Watershed 2) at HBEF. A century of acid rain had a calcium stripping impact equivalent to two W2 experiments involving complete deforestation and herbicide applications.
The impact of social media use on restaurant choice

ABSTRACT This paper aims to examine the impact of social media use on consumers’ restaurant choices. It presents data from a questionnaire developed for examining social media use and restaurant choice on a trip and home. Exploratory factor analysis was performed to explore the underlying theoretical structure of the phenomena. Four social media use factors were extracted. Then the measurement model and the structural model were tested. Findings show that three social media use factors (searching for services, social interactions, and searching for products) influenced individuals’ restaurant choices on the trip (more) and at home. Based on the results, restaurants should appear more on social media. Restaurants are recommended to share the ambiance, foods, and menus on social media frequently.
Solar Wind Speed Prediction With Two‐Dimensional Attention Mechanism

As more and more high‐technical systems are exposed to the space environment, extreme space weather becomes a great threat to human society. In the solar system, space weather is influenced by the solar wind, such that reliable prediction of solar wind conditions in the near‐Earth environment effectively reduces the impact of space weather on human society. Solar wind speed prediction is improved by making full use of OMNI data measured at Lagrangian Point 1 (L1) by the National Aeronautics and Space Administration (NASA) and image data observed by the Solar Dynamics Observatory (SDO) satellite in this work. Specifically, we propose a model based on the “two‐dimensional attention mechanism” (TDAM) to predict solar wind speed. In this study, we first analyze and preprocess data from 2011 to 2017. Second, considering the characteristics of time series data, we adopt the gated recurrent units (GRU) model which can deal with long‐term dependence as the prediction part of our model. Third, we design a TDAM, which enables our prediction network to focus on important parts. Three performance indices are used: root‐mean‐square error (RMSE), mean absolute error (MAE), and correlation coefficient (CC). By comparing TDAM with other models, we find that the TDAM model achieves the best prediction results, with RMSE of 62.8 km/s, MAE of 47.8 km/s, and CC of 0.789 24 h in advance. The experimental results show that the proposed TDAM model can improve the prediction accuracy of solar wind speed.
The Feasibility Analysis of Mathematics Textbook Material based on Bell's Criteria

The purpose of this study is to determine the feasibility of Mathematics textbook material for Grade VII 1st semester on 2017 Revised Edition based on Bell's criteria. So that if there is an error, it can be fixed. Then, this type of research is descriptive research. In the descriptive analysis, there is no need to find or explain its relationships and test hypotheses. The approach used is qualitative. Moreover, this study uses a qualitative approach because the data collected are described in sentences. This study will be obtained from two sources, namely the main source of the Mathematics Textbook Grade VII of 2013 curriculum and peer-discussion support sources. The method used in this research is the documentation method. The documentation data used in this research is the textbook itself. However, the data obtained by using the Analysis Instrument Result shows that the suitability of the mathematics textbook material of Grade VII with the material based on Bell's criteria for the numbers and algebra chapters includes a good category. Meanwhile, the sets and equations and linear inequalities of one variable chapter belong to be an excellent category. The average suitability of the mathematics material from each chapter in the textbook toward Bell's criteria is 83.75% and is supported by the validity data results through forms and peer discussions. As a result, the feasibility of the mathematics textbook material for grade VII of the 2017 revised edition based on Bell's criteria is very good.
Oral aspects related to SARS-CoV-2

The pandemic of coronavirus disease (COVID-19) is considered as the biggest global health crisis for the world since the Spanish flu, also known as the 1918 flu pandemic. Driven by the SARS-CoV-2 novel coronavirus infection, the rapid spread of this disease and the related pneumonia COVID-19 are a challenge for healthcare systems in over the world, and it is a constantly evolving situation with new symptoms and prognostic factors. SARS-CoV-2 has lately been detected in infected patient’s oral cavity; the COVID-19 outbreak is an alert that all dental and other health professionals must be vigilant in defending against the infectious disease spread. This review summarizes an update from current medical literature about the relationship between oral cavity and coronavirus disease by presenting some oral aspects which was detected in infected patients such as the oral lesions related to this virus and its therapeutic protocol, taste disorders and also the diagnostic value of saliva for SARS-CoV-2.