Miracle-dz/UniFAR-FTUs huggingface dataset:
Menu Design on Small Display User Interfaces: Measuring the Influence of Menu Type, Number of Preview Items, and Menu Breadth on Navigation Efficiency

ABSTRACT An experiment was conducted to determine menu navigation efficiency (in terms of time, accuracy, and subjective ratings) of mobile devices (smartphones and smart watches) displaying menus in Chinese language; the study compares the performance of menus with three types and three different numbers of preview items. The compared menu type variants were full, collapsible, and cascading menus. The latter two types had submenus, while the first one did not. The participants were instructed to find the target item. The relationship among menu type, number of preview items, menu breadth, and navigation efficiency was found. This indicated that the menu type significantly influenced navigation efficiency. When the menu breadth was large, collapsible, and cascading menus were suitable for smartphones and watches, respectively. The number of preview items also had a significant effect, especially on watches; 16 and 4 preview items were suitable for phones and watches, respectively.
CRC Handbook of Chemistry and Physics, 98th Edition

CRC Handbook of Chemistry and Physics, 90th EditionCRC Handbook of Chemistry and PhysicsHuman Error in AviationCRC Handbook of Chemistry and Physics, 98th EditionCRC Handbook of Tables for Applied Engineering ScienceCRC Handbook of Chemistry and PhysicsCRC Handbook of Chemistry and Physics: 1974-1975 (55th ed.)CRC Handbook of Chemistry and Physics, 84th EditionCRC Handbook of Chemistry and Physics, 85th EditionCRC Handbook of Basic Tables for Chemical AnalysisCRC Handbook of Chemistry and Physics (Special Student Edition)CRC Handbook of Chemistry and Physics, 86th EditionCRC Handbook of Laboratory Safety, 5th EditionHandbook of Solid State ElectrochemistryCRC Handbook of Ion Exchange ResinsCRC Handbook of Metal EtchantsCRC Handbook of Basic Tables for Chemical AnalysisCRC Handbook of Chemistry and Physics, 93rd EditionCRC Handbook of Chemistry and Physics, 87th EditionCRC Handbook of Chemistry and PhysicsHandbook of Chemistry and PhysicsCRC Handbook of Chemistry and PhysicsCRC Handbook of Chemistry and PhysicsCRC Handbook of Solubility Parameters and Other Cohesion ParametersHandbook for Chemical Process Research and DevelopmentCRC Handbook of Chemistry and PhysicsCRC Handbook of Chemistry and Physics, 89th EditionCRC Standard Mathematical TablesCRC Handbook of Chemistry and Physics, 91st EditionComprehensive Handbook of Chemical Bond EnergiesCRC Handbook of Engineering TablesCRC Handbook of Chemistry and PhysicsCRC Handbook of
Computational Analysis of Haemodynamic Indices in Synthetic Atherosclerotic Coronary Netwroks

Haemodynamic indices are widely used in clinical practice for deciding on a particular type of treatment. Low quality of the CT data and tachycardia complicate interpretation of the measured or simulated values. In this work, we present a novel approach for evaluating resistances in terminal coronary arteries. Using 14 measurements from 10 patients, we show that this algorithm retains the accuracy of 1D haemodynamic simulations in less detailed (truncated) geometric models of coronary networks. We also apply the variable systole fraction model to study the effect of elevated heart rate on the values of FFR, CFR and iFR. We conclude that tachycardia may produce both overestimation or underestimation of coronary stenosis significance.
Microwave Planar Resonant Solutions for Glucose Concentration Sensing: A Systematic Review

The measurement of glucose concentration finds interesting potential applications in both industry and biomedical contexts. Among the proposed solutions, the use of microwave planar resonant sensors has led to remarkable scientific activity during the last years. These sensors rely on the changes in the dielectric properties of the medium due to variations in the glucose concentration. These devices show electrical responses dependent on the surrounding dielectric properties, and therefore the changes in their response can be related to variations in the glucose content. This work shows an up-to-date review of this sensing approach after more than one decade of research and development. The attempts involved are sorted by the sensing parameter, and the computation of a common relative sensitivity to glucose is proposed as general comparison tool. The manuscript also discusses the key points of each sensor category and the possible future lines and challenges of the sensing approach.
Multicomponent Crystallization of Ketoprofen-nicotinamide for Improving the Solubility and Dissolution Rate

The purpose of this research was to improve the solubility and dissolution rate of ketoprofen by using the multicomponent crystallization approach with nicotinamide as coformer. Multicomponent crystallization of ketoprofen-nicotinamide with a 2:1 molar ratio was performed by solvent evaporation technique using 2-propanol as solvent. The characterization of the multicomponent crystal was performed using powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). The solubility and dissolution behaviour of the multicomponent crystal in distilled water were determined by the shakeflask and standard paddle method, respectively. The results of characterization by PXRD, DSC, FTIR and SEM have confirmed the formation of a new crystalline phase of ketoprofen-nicotinamide as the multicomponent crystal. The solubility of ketoprofen-nicotinamide multicomponent crystal was registered 1.3 times higher compared to pure ketoprofen. The multicomponent crystal dissolved about 64% within 60 minutes in comparison to the pure ketoprofen that showed a dissolution of only about 56% during the same period. The results of solubility and dissolution tests showed that the ketoprofennicotinamide multicomponent crystal is characterized by a solubility and dissolution rate significantly higher than those for the pure ketoprofen.
Prioritisation of drivers of sustainable additive manufacturing using best worst method

ABSTRACT Globalisation and competition in the market have made industry practitioners to focus towards minimising resource consumption and even government is making strict regulations towards sustainable development. In this regard, usage of latest technologies such as Additive Manufacturing (AM) will have a positive benefit towards sustainability. AM processes are becoming sustainable from viewpoint of less material consumption, lesser operational cost, minimum handling and so on. So, it is important to analyse the potential drivers of sustainable AM process for its smooth adoption. In this regard, the purpose of the article is to present a study on prioritising drivers of Sustainable Additive Manufacturing (SAM) using Best Worst Method (BWM). Forty drivers are being analysed from eight perspectives. Data have been collected from experts and BWM has been used for analysing the drivers. The drivers are analysed in respective categories and then global score for each driver has been computed to find the overall weightage and rating of each driver. Key drivers are identified as eco design, green innovation and energy conservation. The practical and managerial implications are being highlighted.
STUDY ON EXTRACTION OF TANNINS FROM THE GARCINIA MANGOSTANA LINN PEEL IN VIETNAM

Garcinia mangostana Linn is known as the "queen of fruit" in Vietnam, which is grown in the provinces of the Mekong Delta and the South Eastern area. Many researches showed that the pericarp of this fruit has many active components, such as xanthones, anthocyanins, tannins, etc. Tannin content of Gacinia mangosteen Linn peel of four regions (Can Tho, Tra Vinh, Bình Duong and Vinh Long provinces) in Vietnam was investigated. It was 13.80% (Vinh Long), 13.91% (Can Tho), 14.15% (Binh Duong), 14.50 % (Tra Vinh). This study focused on the extraction of the tannins compound from the Garcinia mangostana Linn for applications in the food industry, especially in the wine-producing industry.The pericarp of mangosteen was treated with Termamyl SC and Pectinex Ultra SP-L enzymes, then mixed with 60% ethanol at the ratio of 1/20 (material /solvent) and heating for 120 minutes at 60°C. The extracts then were obtained after centrifugation at 5000 rpm for 10 minutes and vacuum filtered. The extraction efficiency was more than 90%, higher than without enzyme pretreatment (87.35%).
Peak Runoff Timing Is Linked to Global Warming Trajectories

The earth's hydroclimate is continuing to change, and the corresponding impacts on water resource space‐time distribution need to be understood to mitigate their socioeconomic consequences. A variety of ecosystem services, transport processes, and human activities are synced with the timing of peak annual runoff. To understand the influence of changing hydroclimate on peak runoff dates across the continental United States, we downscaled outputs of 10 Global Circulation Models for different future scenarios. Our results quantify robust spatial patterns of both negative (up to 3–5 weeks) and positive (up to 2–4 weeks) shifts in the dates of peak annual runoff occurrence by the end of this century. In snowmelt‐dominated areas, annual maxima are projected to shift to earlier dates due to the corresponding changes in snow accumulation timing. For regions in which the occurrence of springtime extreme soil wetness shifts to later time, we find that peak annual runoff is also projected to be delayed. These patterns of runoff timing change tend to be more pronounced for projections of higher greenhouse concentration in the future.
Miniaturization of transition metal hydroxides to hydroxide dots: A direction to realize giant cyclic stability and electrochemical performance

Binary metal hydroxides have tailored to quantum size in situ by manipulating the solvent medium in the co‐precipitation process. Bimetallic cobalt‐nickel hydroxide dots reveal hydrotalcite structure, and the mean hydrodynamic diameter is restricted to 2.5 nm when Co:Ni molar ratio 1:1. The bandgap values obtain around 2.64 eV using Tauc relation, which is within the quantum confinement region. The fitting results of X‐ray photoelectron spectroscopy suggested the presence of redox couple Co2+, Co3+, Ni2+, and Ni3+ in the hydroxides dots, which facilitates more electroactive sites. Again, excellent stability of hydroxide dots in solvent medium obtained by measuring T2 relaxation time. The binary dots electrode exhibits excellent pseudocapacitance performance with specific capacitance of 1926 F g−1 (221 mAh g−1) at 1 A g−1 with outstanding cycling retention of ~96% up to 20 000 cycles. Parallelly, an asymmetric supercapacitor device has been assembled by monitoring different mass loading of active material as +Ve and carbon black as −Ve electrode cells. The ASC device utilizes to brighten a commercial LED to validate the electrode. Also, the specific capacitance of the ASC device has been calculated about 250 F g−1 (353 mAh g−1) with a holding energy density of 85 W h kg−1.
Perovskite@Graphene Nanohybrids for Breath Analysis: A Proof-of-Concept

Nanohybrids comprising graphene loaded with perovskite nanocrystals have been demonstrated as a potential option for sensing applications. Specifically, their combination presents an interesting synergistic effect owing to greater sensitivity when bare graphene is decorated with perovskites. In addition, since the main drawback of perovskites is their instability towards ambient moisture, the hydrophobic properties of graphene can protect them, enabling their use for ambient monitoring, as previously reported. However not limited to this, the present work provides a proof-of-concept to likewise employ them in a potential application as breath analysis for the detection of health-related biomarkers. There is a growing demand for sensitive, non-invasive, miniaturized, and inexpensive devices able to detect specific gas molecules in human breath. Sensors gathering these requirements may be employed as a screening tool for reliable and fast detection of potential health issues. Moreover, perovskite@graphene nanohybrids present additional properties highly desirable as the capability to be operated at room temperature (i.e., reduced power consumption), reversible interaction with gases (i.e., reusability), and long-term stability. Within this perspective, the combination of both nanomaterials, perovskite nanocrystals and graphene, possibly includes the main requirements needed, being a promising option to be employed in the next generation of sensing devices.
Determination of foveal avascular zone parameters using a new location-aware deep-learning method

The Foveal Avascular Zone (FAZ) is of clinical importance since the retinal vascular arrangement around the fovea changes with retinal vascular diseases and in high myopic eyes. Therefore, it is important to segment and quantify the FAZs accurately. Using a novel location-aware deep learning method the FAZ boundary was segmented in en-face optical coherence tomography angiography (OCTA) images. The FAZ dimensions were compared the parameters determined using four methods: (1) device in-built software (Cirrus 5000 Angioplex), (2) manual segmentation using Image J software by an experienced clinician, and (4) the new method (new location-aware deep-learning method). The parameters were measured from OCTA data from healthy subjects (n=34) and myopic patients (n=66). For this purpose, FAZ location was manually delineated in en-face OCTA images of dimensions 420x420 pixels corresponding to 6mm x 6mm. A modified UNet segmentation with an additional channel from a Gaussian distribution around the likely location of the FAZ was designed and trained using 100 manually segmented OCTA images. The predicted FAZ and the related parameters were then obtained using a test dataset consisting of 100 images. For analysis, two strategies were applied. The segmentation of FAZ was compared using the Dice coefficient and Structural Similarity Index (SSIM) to determine the effectiveness of the proposed deep learning method when compared to the other three methods. Furthermore, to provide deeper insight, a set of FAZ dimensions namely area, perimeter, circularity index, eccentricity, perimeter, major axis, minor axis, inner circle radius, circumcircle radius, the maximum and minimum boundary dimensions, and orientation of major axis were compared between the 3 methods. Finally, vessel-related parameters including tortuosity, vessel diameter index (VDI) and vessel avascular density (VAD) were calculated and compared. The high myopic eyes exhibited a narrowing the FAZ area and perimeter. The currently developed algorithm does not correct for axial length variations. This analysis should be extended with a larger number of images in each group of myopia as well as correcting for axial length variations.
Hierarchical Longitudinal Control for Connected and Automated Vehicles in Mixed Traffic on a Signalized Arterial

This paper proposes a two-layer hierarchical longitudinal control approach that optimizes travel time and trajectories along multiple intersections on an arterial under mixed traffic of connected automated vehicles (CAV) and human-driven vehicles (HV). The upper layer optimizes the travel time in an optimization loop, and the lower layer formulates a longitudinal controller to optimize the movement of CAVs in each block of an urban arterial by applying optimal control. Four scenarios are considered for optimal control based on the physical constraints of vehicles and the relationship between estimated arrival times and traffic signal timing. In each scenario, the estimated minimized travel time is systematically obtained from the upper layer. As the results indicate, the proposed method significantly improves the mobility of the signalized corridor with mixed traffic by minimizing stops and smoothing trajectories, and the travel time reduction is up to 29.33% compared to the baseline when no control is applied.
Analysis of mathematics test items quality for high school

This study aims to determine the quality of the mathematics test items at high school in terms of validity, reliability, differentiation, difficulty level, and distractor effectiveness. This study is an evaluation type of research with a quantitative approach. The subjects in this study were 44 class XII students of SMKN 3 Kuningan and 39 class XII students of SMAN 1 Jalaksana. The results show that the majority (96.67%) of the items are declared valid in content by the experts. The test has very high reliability (0.90). The items have the ideal difficulty level. Most of the questions (70%) have medium difficulty, a few questions (6.67%) are very easy, and a few questions (20%) are difficult, and (3.3%) are very difficult. Most of the items (83.33%) have good discriminating power, and only a few questions (16.67%) have poor discriminating power. Most (90%) of the questions have a well-functioning answer choice, and only a few questions (10%) have the answer choice not functioning properly. Overall, this study can be concluded that the Mathematics Test Questions at SMKN 3 Kuningan are of good quality.
Serious illness conversations in pulmonary hypertension

Pulmonary arterial hypertension has evolved from a fatal disease with few treatment options to a chronic condition with improved survival. This improvement is possible through development of effective therapies as well as the expansion of risk stratification scores to assist clinical decision making. Despite improved disease control, quality of life, and overall prognosis, many challenges remain. The treatment itself is burdensome, with significant impact on quality of life. Many patients with pulmonary arterial hypertension still present with advanced, often end-stage disease. Increased use of mechanical circulatory support and catheter-based interventions have expanded use of extracorporeal life support and right ventricle assist devices. For these reasons as well as the long-term relationships pulmonary hypertension physicians have with patients and their families, navigating the course of the illness in a considered, proactive way is essential. Understanding individual goals and revisiting them as they change over time requires comfort with the conversation itself. There are many barriers and challenges to having effective, compassionate conversations in the clinical setting with time constraints being the most often cited. Compressed visits are necessarily focused on the clinical aspects, therapy and medication adherence and tolerance. Clinicians are sometimes wary of diminishing hope in the face of ongoing treatment. Having sufficient experience and comfort with these discussions can be empowering. In this paper, we discuss the challenges involved and propose a framework to assist in incorporating these discussions into clinical care.
Analysis of the free-space acoustic signature of a BBMF Rolls-Royce Merlin engine from 842 rpm to 2740 rpm

A technique has been developed to analyse the free-space acoustic signature of the Rolls-Royce Merlin engine in order to provide diagnostic information relating to its performance. The work is motivated by a need to maintain the reliability and maximise the lifetime of this historic engine which is an important component of the aircraft operated by the UK Battle of Britain Memorial Flight (BBMF). For convenience, the data were extracted from the soundtrack of a video recording made whilst the aircraft was undergoing a full-power ground-run. The aim of the work is to generate information relating the individual firings of each cylinder and this is presented as a multi-level colour image. Here, the ignition time history for two revolutions (six ignitions) is shown vertically and corresponds to the bank of exhaust ports facing the microphone. Subsequent similar histories are presented along the horizontal time axis. The results are sensitive to engine speed variations, and a correlation between successive vertical columns is carried out to quantify this drift and adjust the data accordingly. Seven engine speeds from 842 to 2740 rpm are examined. The processed data illustrate that some speeds exhibit well-defined, single ignitions whereas others show varying degrees of after-firing type effects. At the higher engine speeds, it would seem that the cylinder ignition amplitudes become much more irregular, and the results for 2740 rpm indicate a breakdown in engine performance. The coefficient of variation (Cv) has been demonstrated as a measure of these factors. Finally, a technique has been proposed and demonstrated for the identification of individual cylinders in the firing sequence. The data acquisition process is relatively straight-forward and should not demand excessive time to cover a full range of engine speeds. With further investigations, it could be possible to readily relate the imaging results to specific engine faults.
Hotel Analytics: The Case for Reverse Competitive Sets

Hotel industry practitioners and scholars expressed concerns regarding the reliability of the commonly used comparative performance indices, given the subjective nature of the competitive (comp) sets. This study explores the potential of two alternative comp sets: reverse and name-back. It is demonstrated that they have a higher level of integrity as they moderate the values of a traditional comp set–based RevPAR (revenue per available room) index, are simple to implement, and are more dynamic. The study shows analytically and empirically that the two are likely to mitigate biases and that the reverse comp set appears to be more effective than the name-back. Multiple practical implications are outlined and discussed.
Production of technological plugs for engine box and oil system using additive technologies

Today, technological plugs designed to protect the internal cavities of parts and assembly units are manufactured using such production methods as casting or stamping. At the same time, their subsequent processing is a time-consuming process. Additive technologies can save material, save time and reduce expenses. This study considers the possibility of manufacturing technological plugs for engine box and oil system using additive technologies. The cover plugs were printed using the Fusion Deposition Modeling (FDM) method on a Russian-made ZENIT printer. PLA plastic was chosen for 3D printing. The plug models were optimised, which allowed correcting and reducing the estimated printing time. In particular, some plugs were made assemblable, which helped to avoid a large number of printing supports. The production of technological plugs using additive technology allows reducing the cost of the finished product, the weight of the plugs and the estimated time of their production.