Miracle-dz/UniFAR-FTUs huggingface dataset:
Interface Design and Optimization Methods of Government Websites from a Flat Perspective

Flat website design has become more and more popular in recent years due to its simplicity and elegance. Nevertheless, the current flat design thinking is mainly applied to conventional websites such as corporate websites. Recently, the increase in public demands has significantly increased the browsing frequency of government websites. To optimize the government website, this study establishes a government website design framework from the perspective of flattening. The established framework can extract flat design elements from the massive flat website design schemes in the past. Based on flat design elements, the particle swarm algorithm (PSO) algorithm in the established framework realizes the design and optimization of government websites. Subsequently, the performance of the CNN, which is used as the fitness function of the PSO algorithm, in predicting public acceptance is analyzed with a case study. The case results show that the average relative errors between the prediction results predicted by CNN and the real public acceptance in two provinces are 2.5416% and 1.4788%, respectively, which indicates that the predicted and real results are in good agreement. Moreover, the linear correlation coefficients between predicted and real public acceptance are 0.9553 and 0.9937, respectively, which further indicates that CNN is reliable as a fitness function of the PSO algorithm. Therefore, it is feasible to use the PSO algorithm to optimize the government website design scheme.
Structural, magnetic, and superconducting properties of Ba 1 − x Na x Fe 2 As 2

We report the results of a systematic investigation of the phase diagram of the iron-based superconductor system, Ba${}_{1\ensuremath{-}x}$Na${}_{x}$Fe${}_{2}$As${}_{2}$, from $x=0.1$ to $x=1.0$ using high-resolution neutron and x-ray diffraction and magnetization measurements. We find that the coincident structural and magnetic phase transition to an orthorhombic structure with space group $Fmmm$ and a striped antiferromagnet with space group ${F}_{C}m{m}^{\ensuremath{'}}{m}^{\ensuremath{'}}$ in Ba${}_{1\ensuremath{-}x}$Na${}_{x}$Fe${}_{2}$As${}_{2}$ is of first order. A complete suppression of the magnetic phase is observed by $x$ $=$ 30$%$, and bulk superconductivity occurs at a critical concentration near 15$%$. We compare our findings to the previously reported results of the hole-doped Ba${}_{1\ensuremath{-}x}$K${}_{x}$Fe${}_{2}$As${}_{2}$ solid solution in order to resolve the differing effects of band filling and $A$-site cation size on the properties of the magnetic and superconducting ground states. The substantial size difference between Na and K causes various changes in the lattice trends, yet the overarching property phase diagram from the Ba${}_{1\ensuremath{-}x}$K${}_{x}$Fe${}_{2}$As${}_{2}$ phase diagram carries over to the Ba${}_{1\ensuremath{-}x}$Na${}_{x}$Fe${}_{2}$As${}_{2}$ solid solution. We note that the composition dependence of the $c$ axis turns over from positive to negative around $x$ $=$ 0.35, unlike the K-substituted materials. We show that this can be understood by invoking steric effects; primarily the Fe${}_{2}$As${}_{2}$ layer shape is dictated mostly by the electronic filling, which secondarily induces an interlayer spacing adjusted to compensate for the given cation volume. This exemplifies the primacy of even subtle features in the Fe${}_{2}$As${}_{2}$ layer in controlling both the structure and properties in the uncollapsed 122 phases.
Global Ocean Monitoring and Prediction at NOAA Climate Prediction Center: 15 Years of Operations

Climate variability on sub-seasonal to interannual time scales has significant impacts on our economy, society, and the earth’s environment. Predictability for these time scales is largely due to the influence of the slowly varying climate anomalies in the oceans. The importance of the global oceans in governing climate variability demonstrates the need to monitor and forecast the global oceans in addition to the El Niño-Southern Oscillation in the tropical Pacific. To meet this need, the Climate Prediction Center (CPC) of the National Centers for Environmental Prediction (NCEP) initiated real-time global ocean monitoring, and a monthly briefing in 2007. The monitoring covers observations as well as forecasts for each ocean basin. In this paper, we introduce the monitoring and forecast products. CPC’s efforts bridge the gap between the ocean observing system and the delivery of the analyzed products to the community. We also discuss the challenges involved in ocean monitoring and forecasting, as well as the future directions for these efforts.
Landslide Assessment Using Sentinel-I SAR-C Interferometry Technique

Landslides might remain unknown or unnoticed for a long time in various remote areas due to the unavailability of optical images caused by cloud persistence, which creates difficulties for civil protection rescue operations, and disaster management as well. Rapid crisis response for humanitarian and reconstruction operations in the affected area after such dangerous landslides is necessary. Thus, a rapid detection map is necessary to detect the affected area with damage grade and level for further investigation and human safety protocols. To detect landslide incidents, the unprecedented availability of Sentinel-1 SAR-C band images provides new solutions and better safety reports. In this study, we performed an efficient evaluation of Sentinel-1 SAR C band images before and after landslide incidents. This study provides a comprehensive evaluation based on the advanced space-borne remote sensing technology aiming at SAR products for rapid damage detection and analysis with respect to the interferometric coherence and intensity correlation. We presented the results of a pilot study on the Rudraprayag Uttarakhand massive landslide incident, which includes the different types, sizes, slope expositions, and human safety aspects. Our study and outcomes represent an updated method, which provides a solution for critical terrain rescue operations and an upgraded geomatics map that provides subsidence data with historical data with topographical statistics. Finally, an outlook into the Sentinel-1 SAR-C analysis demonstrates probable solutions to certain constraints, enabling global applicability of the proposed damage assessment methods with the improved accuracy from 50 to 60 % for the obtained temporal resolution datasets.
On Opining: Modal Verbs, Dispositions, Free Choice, and Negation

Author(s): Bervoets, Melanie Jane | Advisor(s): Sharvit, Yael; Spector, Benjamin | Abstract: This dissertation is concerned with the semantics of a specific set of intensional verbs, those that are used to report a subject's standpoint on a given possibility. Among these verbs are permit, promise, offer, guarantee, demand, insist on, recommend, suggest, encourage, and a handful of others. When the objects of these verbs are disjunctive, we find the kind of free choice effects previously observed with possibility and necessity modals. Based on whether the verbs pattern like may or like must with respect to these inferences, we separate the verbs into two classes, which we call Class I (may-like), and Class II (must-like). This behavior suggests that at the level of interpretation, these verbs contain quantifiers over possible worlds—an existential one in the case of Class I, and a universal one for the members of Class II. However, motivated by an unexpected range of readings found when sentences built with these verbs are negated, an investigation reveals that the members of Class I and II are more than just modal. They also appear to be accomplishment verbs that describe external events. As a result, we give a semantic analysis of these verbs that casts them as complex creatures, describing external events in which subjects indicate their modal opinions. Taking the verbs to be reporters of external events, we then need to explain why some of the negative sentences built with the Class I/II verbs appear to describe internal cognitive states. The solution to this involves two elements: first, we appeal to a version of the habitual operator that can deliver dispositions that are not necessarily established by repetitive action. Second, after noticing that all habitual sentences have extra, unexpectedly strong readings with negation, we enlarge the scope of the phenomenon previously called Neg-raising, and show how an existing pragmatic account for this (that of Romoli (2013)) can be modified to deal with the broader array of extra strong negative readings.Along the way, we will account for why dispositions described by habitual Class I/II predicates seem to have different establishment requirements than those described by similar accomplishment verbs. We also address how the performativity of these verbs follows from the semantics proposed.
Trash bin for medical smart waste as entrepreneurs Da’wah output and Islamic work professionalism implementation

Entrepreneurs Da'wah is related to success in business which cannot be separated from religious life. Doing business does not mean greedy and does not like to accumulate or live happily. The attitude of a religious businessman is part of the elements of upholding da'wah. At the practical level, da'wah is to realize Islamic teaching activities by doing good, preventing evil deeds, giving warnings and giving good news. This study focuses on the problem of building a corporate ladder, marketing strategy, human resource development, and the meaning of work. The company ladder from the beginning of the healthcare business. Healthcare businesses are now adjusting to a new reality where bargaining power has shifted to consumers. Consumers now play a key role in the commercialization process, making them important stakeholders to meet their needs. Health business reforms have convinced consumers to make protection a bigger priority than ever since the COVID-19 pandemic escalated around the world. Health care businesses in Indonesia are no exception, must increase their brand trust, because of the great responsibility to protect consumers from COVID-19 prevention, and brand trust also gives added value to the hospital brand itself.
Robust PARAFAC for incomplete data

Different methods exist to explore multiway data. In this article, we focus on the widely used PARAFAC (parallel factor analysis) model, which expresses multiway data in a more compact way without ignoring the underlying complex structure. An alternating least squares procedure is typically used to fit the PARAFAC model. It is, however, well known that least squares techniques are very sensitive to outliers, and hence, the PARAFAC model as a whole is a nonrobust method. Therefore a robust alternative, which can deal with fully observed data possibly contaminated by outlying samples, has already been proposed in literature. In this paper, we present an approach to perform PARAFAC on data that contain both outlying cases and missing elements. A simulation study shows the good performance of our methodology. In particular, we can apply our method on a dataset in which scattering is detected and replaced with missing values. This is illustrated on a real data example. Copyright © 2012 John Wiley & Sons, Ltd.
Ethnoveterinary studies of medicinal plants used to treat livestock in the Haridwar region of Uttarakhand, India

Ethnoveterinary practices are still prevalent in rural livestock healthcare. This research contributes significantly to the understanding of biological resources employed in ethnoveterinary practices in the Haridwar district of Uttarakhand. This current study focuses on ethnoveterinary knowledge among ethnic populations in Haridwar and quantitatively documented the traditional knowledge about the usage of different medicinal herbs. The field survey was carried out at four sampling sites, i.e., Chilla range, Mohand range, Vindhyavasini hills, and Shyampur range. The ethnoveterinary information was documented and collected in the study areas through interviews, questionnaires, and group discussions with ethnic communities and traditional healers, primarily elderly shepherds and farmers. The collected data were quantitatively analysed utilizing the informant consensus factor (ICF), fidelity level (FL), and use value (UV). In this study, 102 medicinal plant species were identified in which herbs (58.8%) were the maximum used life forms. Leaves (27.1%) were found to be the most commonly used plant part. The oral mode of medication was used most often in the ethnoveterinary practices (79.4%) used. Quantitative analysis revealed that the most important species having high UV values for curing livestock was Zingiber officinale (L) (UV = 2.67). FL% values ranged between 27.8 to 100% and ICF values ranged from 0.97 to 0.99. This study reveals that a large variety of medicinal plant species are of great ethnoveterinary relevance and are used by informants in Haridwar to treat cattle ailments. Further phytochemical and pharmacological studies would be needed to determine the usefulness and safety of the identified plants, allowing communities to use them in a more cost-effective, and safe manner.
Associations of a liver health index with health, milk yield, and reproductive performance in dairy herds in the northeastern United States

Graphical Abstract Summary: Existing liver biomarker indices used to evaluate transition cow health and inflammatory status utilize multiple blood samples across the first month of lactation, which may not provide timely information for identifying subclinical cases and may be financially prohibitive. Our objective was to evaluate a liver health index (LHI), which integrates albumin, cholesterol, and bilirubin values from 1 early lactation plasma sample, by evaluating the association with negative health events, milk yield, and pregnancy within 150 days in milk (DIM). The LHI was calculated for 876 cows, 3 to 12 DIM, across 72 farms. Cows diagnosed with any negative health event had a lower LHI than cows not diagnosed with a negative health event. We identified a positive relationship between LHI and milk yield and pregnancy within 150 DIM for multiparous cows; however, LHI was not associated with milk yield or pregnancy within 150 DIM for primiparous cows.
A novel hybrid backscatter and conventional algorithm for multi‐hop Internet of Things networks

This article investigates a multi‐hop cognitive radio network in terms of end‐to‐end bit delivery. The network exploits backscatter communication (BackCom) and harvest‐then‐transmit (HTT) mode in a hybrid manner. Such a network can be used in Internet of Things (IoT) applications in which IoT users coexist with a primary network and use the primary spectrum to transmit data in both BackCom and HTT modes. Besides, such users can harvest energy from the primary signals. A novel hybrid backscatter and conventional transmission (HBCT) algorithm is proposed in order to maximize end‐to‐end bit delivery by jointly optimizing time and power allocations. For this goal, we formulate a nonconvex optimization problem. Next, we transform the problem into a convex one and develop a new analytical formulation by which we calculate the optimal power and time allocation in closed‐form equations. The numerical results demonstrate the superiority of HBCT compared with current schemes.
Adaptive SMC based cascaded control of the grid-forming inverter

ABSTRACT The grid-forming inverter (GFI) plays an indispensable role in the microgrid (MG). Thus, it is critical for a microgrid to control the GFI flexibly and accurately, because of its voltage-forming and frequency regulation capabilities. The conventional proportional integral (PI) control strategy is usually used to control the GFI. However, the conventional PI control strategy has a high output voltage total harmonic distortion (THD) and deteriorative performance under external disturbances, which results in several problems in system flexibility, reliability and stability. This paper proposed a novel adaptive sliding mode control (ASMC) based cascaded control of the GFI system, which involves an ASMC-based inner current loop and outer voltage loop, and shows some superior performances of low THD, fast dynamic tracking performance and good robustness. Both the MATLAB/SIMULINK-based simulation and StarSim Modelling Tech-based semi-physical experimental results were presented to validate a perspective: the control strategy proposed by this paper has a better performance than the conventional PI control strategy under transient and steady-state condition.
The Predictive Value of the Left Atrial Kinetic Energy for Atrial Fibrillation Recurrence

Background and aim Determining which patients will experience recurrence of atrial fibrillation (AF) is crucial for treatment modification. This study aimed to investigate the predictive value of left atrial kinetic energy (LAKE) in AF recurrence. Materials and methods A total of 120 consecutive patients who achieved sinus rhythm (SR) with electrical direct current cardioversion and met the inclusion criteria were included in the study. Transthoracic echocardiography (TTE) and LAKE values were calculated on the first day after cardioversion. Rhythm control was performed with 12-lead electrocardiography in the first-month follow-up. Results While 81 (67.5%) patients were in SR at one month, AF recurrence was detected in 39 (32.5%) patients. In the AF group, AF duration, cardioversion energy, number of diabetic patients, left atrium (LA) diameter, LA pre-mitral A wave volume, LA minimum volume, and pulmonary artery pressure values were significantly higher than in the SR group, while mitral A wave velocity and LAKE values were significantly lower. In multivariate regression analysis, AF duration (OR: 1.54; 95% CI: 1.22 - 1.93; p < 0.001), LA diameter (OR: 1.33; 95% CI: 1.10 - 1.61; p = 0.002), and LAKE (OR: 0.96; 95% CI: 0.94 - 0.99; p = 0.007) were determined to be independent predictors of AF recurrence at one month. Conclusions LA diameter, AF duration, and LAKE were found to be significant predictors of AF recurrence after cardioversion.
ASYMPTOTIC PARAMETRIC TESTS OF NONLINEAR HYPOTHESES

Abatnet The parametric asymptotic test theory for composite hypotheses is presented in a rather general set-up: (i) the composite hypotheses are of a truly nonlinear form (ii) the norming matrices are not necessarüy diagonal (iü) the underlying stochastic model forms a 'non-ergodic model' (iv) the 'objective' or 'estimation' function approach is chosen. AUowing (i) and (ii) simultaneously enforces a condition on the compatibility of the norming matrices and the form of the hypothesis. The familiar asymptotic x^ " distributions of the likelihood ratio-, the scoreand the Wald-statistic are derived. An example involving a parametric trend function iUustrates some aspects of the approach.
The Variational Bayes Method in Signal Processing (Signals and Communication Technology)

Bayesian Theory. - Off-line Distributional Approximations and the Variational Bayes Method. - Principal Component Analysis and Matrix Decompositions. - Functional Analysis of Medical Image Sequences. - On-line Inference of Time-Invariant Parameters. - On-line Inference of Time-Variant Parameters. - The Mixture-based Extension of the AR Model (MEAR). - Concluding Remarks.
Maximum power point tracking controller implementation in multiple input converter for effective solar energy harvesting using maximum power point resistance method

Solar energy is widely acknowledged as one of the most promising renewable energy sources for addressing future electrical energy demands. Photovoltaic modules (PVms) convert solar energy into electrical energy and are highly sensitive to nonlinear changes in environmental circumstances, which in turn affect the generation of electricity from the PVms. The module‐level maximum power point tracking (MPPT) of PVms using multiple input converters (MICs) is the effective and cost‐efficient method among all the methodologies and techniques. MICs, on the other hand, suffer from a cross power‐sharing difficulty due to their modular design, which implies that the individual cells that make up the device impact on each other's power‐sharing operation. The solution to which have been ignored in the literature. The objective of this paper is to employ the maximum power point resistance (MPPR) approach to determine an appropriate duty ratio range for the proposed MIC while taking into consideration the cross effect of different cells. Steady‐state, power loss, and efficiency analysis of the proposed MIC structure with less component count have been included. The proposed approach has been validated experimentally and further, a comparative analysis with recently reported various approaches has also been included to prove the suitability of the proposed approach.
Visualisation of hierarchical multivariate data: Categorisation and case study on hate speech

Multivariate hierarchical data has an important role in many applications. To find the best visualisation that best fits a concrete data is crucial to explore and understand the relationships between the data. This paper proposes a categorisation – Elongated and Compact – of hierarchical data based on the inner shapes of the hierarchies, that is the connectivity degree of the internal nodes, the number of nodes, etc, that can be applied to any hierarchical data. Based on this taxonomy, we explore implicit and explicit layouts – Tree, Circle Packing, Force and Radial – to provide users with a complete view of the data. We hypothesise that Tree and Circle Packing fit with Elongated structures, and Force and Radial fit with Compact ones. In addition, we cluster multivariate features to embed them in the hierarchical layouts. Especially, we propose two different glyphs –one-by-one and all-in-one, and we bet for the one-by-one glyphs as the most suitable for showing the distribution of several features along with the hierarchical structures. To validate our hypotheses, we conducted a user study with 35 participants using a hate speech annotated corpus. This corpus comes from 4359 comments posted in online Spanish newspapers. The results indicated that users preferred the Tree layout over the other three layouts (Circle, Force, Radial) with both types of structures (EC and CC). However, when we focused the analysis only on Radial and Force layouts, both of them scored significantly higher with Compact than with Elongated data. Moreover, participants scored the one-by-one glyph higher than the all-in-one glyph, but the difference was not significant.
A Tool for Evaluating the Performance of Simplified Models for Predictive Control Applications

This paper presents a method of determining the validity of simplified models for use in predictive control. As opposed to traditional statistical measures, a comparison of the model predictive control (MPC) performance of a high-fidelity model is used as the baseline for comparison. A single modelling technique is tested against several buildings in different climates to show the application of the tool. The savings achieved with the simplified model range from 84% to 101% of the high-fidelity model savings, based on climate and building type.