Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Character Color Combinations on Legibility When Presented on Optical Head-Mounted Displays During Walking

This study examined the legibility threshold value for color Chinese characters when presented on optical head-mounted displays (OHMDs) during walking. We used the Minnesota Low Vision Reading test (MNREAD test) to determine character legibility thresholds. A full factorial design was employed, using the following three main factors: hue (0°, 60°, and 120°), saturation (33%, 66%, and 99%), and brightness (33%, 66%, and 99%). Twenty-seven colors were used as experimental colors. The results indicated that the character colors shown on the OHMD with the 0° hue (red color) had a higher character recognition threshold value than characters presented in the 60° (yellow color) and 120° hues (green color). Furthermore, characters presented with higher color saturation had higher character recognition threshold values than those presented with lower color saturation, and characters presented with lower color brightness had higher character recognition threshold values than those presented with higher color brightness. These findings indicate that the hue, saturation, and brightness of character colors on OHMDs must be taken into consideration as they may affect legibility.
Topography of the 410 km and 660 km discontinuities beneath the Japan Sea and adjacent regions by analysis of multiple‐ScS waves

The northwest Pacific subduction region is an ideal location to study the interaction between the subducting slab and upper mantle discontinuities. Due to the sparse distribution of seismic stations in the sea, previous studies mostly focus on mantle transition zone (MTZ) structures beneath continents or island arcs, leaving the vast area of the Japan Sea and Okhotsk Sea untouched. In this study, we analyzed multiple‐ScS reverberation waves, and a common‐reflection‐point stacking technique was applied to enhance consistent signals beneath reflection points. A topographic image of the 410 km and 660 km discontinuities is obtained beneath the Japan Sea and adjacent regions. One‐dimensional and 3‐D velocity models are adapted to obtain the “apparent” and “true” depth. We observe a systematic pattern of depression (~10–20 km) and elevation (~5–10 km) of the 660, with the topography being roughly consistent with the shift of the olivine‐phase transition boundary caused by the subducting Pacific plate. The behavior of the 410 is more complex. It is generally ~5–15 km shallower at the location where the slab penetrates and deepened by ~5–10 km oceanward of the slab where a low‐velocity anomaly is observed in tomography images. Moreover, we observe a wide distribution of depressed 410 beneath the southern Okhotsk Sea and western Japan Sea. The hydrous wadsleyite boundary caused by the high water content at the top of the MTZ could explain the depression. The long‐history trench rollback motion of Pacific slab might be responsible for the widely distributed depression of the 410 ranging upward and landward from the slab.
Aboveground and belowground primary production dynamics of two Delaware Bay tidal marshes

ROMAN, C. T. , AND F. C. DAIBER (College of Marine Studies, Univ. of Delaware, Newark, DE 19711). Aboveground and belowground primary production dynamics of two Delaware Bay tidal marshes. Bull. Torrey Bot. Club 111: 34-41. 1984. -Aboveground and belowground net primary productivity estimates of the dominant angiosperms from two tidal marshes along the Delaware Bay estuary are reported. Ash, carbon and nitrogen content of the aboveground and belowground components were also determined. Annual net aboveground production was determined by the peak live standing crop method and the Smalley (1958) method. Aerial production of tall Spartina alterniflora Loisel. at the Canary Creek salt marsh, employing the Smalley technique, was 1487 g m2 yr', while production of short S. alterniflora, S. patens (Ait.) Muhl. and Distichlis spicata (L.) Greene was, 654 g m-2 yr-1, 1147 g m-2 yrV1, and 785 g m-2 yr, respectively. At the brackish water Blackbird Creek marsh, Phragmites australis (Cav.) Trin. had the highest aboveground production (2940 g m2 yrV), followed by S. patens (1089 g m2 yr-1) and short S. alterniflora (916 g m2 yr-2 ). Belowground primary production was determined by the annual increment (max-min) method, with respective estimates of 6.5 kg m2 yrV, 5.0 kg m2 yr. , and 3.3 kg m2 yr1, for tall S. alterniflora, short S. alterniflora and S. patens, at the Canary Creek marsh. Belowground estimates at the Blackbird Creek marsh were within this range.
EEG-based Online Purchase Decisions and Preferences in Neuromarketing Considering Eco-design

This paper examines the importance of different features that can be displayed on a website environment and their impact on customers' preferences, decisions, and behavior. The features under investigation in this research include promotional offers, product information, electronic word of mouth, sustainability, warm-tone color, cool-tone color, and music. The study focuses specifically on the fashion retail industry, aiming to provide insights for improving website environments to attract more customers. To investigate the effect of different features on customers' preferences and decisions, a research model based on the Theory of Planned Behavior and the Stimulus-Organism-Response model has been proposed. The study also incorporates the use of Electroencephalogram (EEG) technology from neuromarketing research. Participants in the experiment were asked to wear a device that detects their brain activity during the experimental setup. The results of the study revealed that factors such as promotional offers, colors, and music significantly influence customers' purchase behavior.
Optical Fiber Sensor for Real-Time Monitoring of Industrial Structures and Application to Urban Telecommunication Networks

Distributed optical fiber sensors are important for continuous remote monitoring of large infrastructures, such as gas and oil pipelines, civil controlled perimeters, dams, roads, railroads, and also telecommunication networks. We present the theoretical study and practical implementation of a phase-sensitive distributed fiber sensor, capable of real-time monitoring of an urban area telecommunication network. The traditional data processing is here enhanced by CNN machine learning algorithms providing recognition accuracy >98 % for different perturbation or intrusion processes in the inspection wells located along the fiber network. In addition to this specific application to a telecommunication network, other applications of this fiber sensor are possible -and also already implemented- for gas&oil pipelines, railroads, power plants, and transportation and industrial sites in general.
A Combination of a Feed-Forward and Selective Harmonic Elimination Method for Mitigation of Voltage Distortions in Single-Phase Stand-Alone Inverters Operating with Non-Linear Loads

This paper presents a new method for voltage distortion elimination in single-phase stand-alone inverters. In fact, the cooperation of a selective harmonic elimination approach with a feed-forward method eliminates the harmonics more effectively. In this paper first, conventional methods based on selective harmonic elimination and feed-forward compensation are presented. Then, a new approach based on the combination of selective harmonic elimination and feed-forward compensation is proposed, which compensates for the harmonics much better and has better functionality in elimination of the voltage distortions. The results of the proposed method are validated on a 5 kW prototype.
The potential value of kinesio taping for the management of nonspecific low back pain

Abstract Background: Kinesio Taping (KT) is a widely used treatment method in the clinical practice that is also largely applied as a therapy for lumbar pain. The method was invented in 1970 by Kenzo Kase et al. and is represented by the application of adhesive tapes on the skin, that are very thin and with elasticity similar to the skin. Although it is frequently used, the efficacy of kinesio taping is still to be proven, and the mechanism it is based upon still remains unclear. Lumbar pain is a very important health issue worldwide; it is pain in the lumbar-sacral region, at the L4-L5 level. Chronic lumbar pain has a high prevalence across the world, affecting especially patients that are over 45 and being associated with high medical and social costs. The aim of this paper is to present a systematic literature analysis regarding the effects of kinesio taping on lumbar pain and on the degree of disability it can lead to. Materials and methods: The research is based on the analysis of relevant scientific studies on the effects of kinesio taping on lumbar pain published in different data basis such as NCBI, PubMed, Crossref, Cochrane Library, Scope Med, Net Journals, and Research Gate between 2012 and 2017. Results: 30 articles were included in the study out of the total number on the topic, articles that correspond with the aim of the study and that present the most recent advancements in the field. Conclusions: KT generally has effects that are similar with those of traditional treatment methods for lower back pain and for the disabilities it can produce, but results appear much faster; moreover, the efficacy is higher when KT is associated with traditional treatment options.
Depth Map Super-Resolution Fusing Color Information

Depth estimation is an important task in many different applications such as autonomous driving and augmented reality. Obtaining accurate high resolution depth maps at high frame rates is often difficult and devices capable of doing so could be not suitable to all applications given their high price. In this work we propose two different deep learning based architectures for depth map upsampling, respectively with $4\mathrm{x}$ and $8\mathrm{x}$ scaling factors, with the intent of cutting costs on acquisition devices. The proposed methods also exploit as an input a high resolution color image that could be acquired simultaneously on the same scene. The proposed methods were trained and tested on two different dataset: a collection of real depth data obtained using a Kinect and the other one featuring synthetic data. Qualitative and quantitative results highlight the impact of considering high resolution color images and the ability of the proposed method to use this information in order to upsample low resolution depth maps.
Short-Term and Rolling Solar PV Power Forecasts: Performance Evaluation and Hyperparameter Tuning of Deep Learning Models

Accurate and dependable forecasting of PV power is of utmost importance in commercial PV plants. Nevertheless, the unpredictable and intermittent nature of solar radiation poses challenges for accurate predictions. Inspired by this, we present hybrid deep learning models, which utilize Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Temporal Convolution Networks (TCN s), to generate short-term solar PV power forecasts for multiple season and weather conditions. The models' initial forecasts were first assessed using accuracy measures to determine the best performing model(s) followed by their hyperparameter tuning using Bayesian optimization (BO) and Random Search optimization (RSO). After successful optimization, additional case studies were conducted to demonstrate the improved forecasting accuracy of the optimized models. It is shown that the performance of BO, LSTM-TCN and RSO, Bi-LSTM-TCN are more suitable for 72hr-ahead forecast. Additionally, an intra-day rolling forecast was performed utilizing one of the base models (LSTM) to demonstrate its potential for achieving high accuracy in PV power forecasts. The obtained results provide valuable insights into the effectiveness of the proposed models and their application in real-world scenarios.
Evolution of Nb,Ta-oxide minerals in the Prasiva granitic pegmatites, Slovakia; I, Primary Fe,Ti-rich assemblage

Accessory Nb, Ta-oxide minerals occur in two narrow veins of relatively poorly fractionated granitic pegmatite that crosscut the parent Hercynian pluton, the Prasiva biotite granodiorite-granite, in central Slovakia. High Ti contents are typical of all members of this magmatic suite, and of their relevant minerals. In the pegmatites, niobian to tantalian rutile ( 2 O 5 , 2 O 5 ) and ferrocolumbite are most widespread. Ferrocolumbite (to manganocolumbite) contains 2.5 to 5 wt. % TiO 2 , and titanian ixiolite has 11 to 21 wt. % TiO 2 . Tiny lamellae of niobian-tantalian armalcolite to pseudobrookite (6 to 10 wt.% Nb 2 O 5 , 0.5 to 5.5 wt.% Ta 2 O 5 ) exsolved from the rutile matrix; complex exsolution-induced domains of niobian ilmenite rimming intergrowths of ilmenite and titanian hematite are rare. Exsolution of armalcolite-pseudobrookite probably took place at magmatic temperatures, and its subsolidus survival is possibly metastable.
A Comprehensive P-Q Capability Study for Grid Interconnection of Inverter Based Resources Plant

With the increased inverter-based resources (IBRs) connected to the grid, IBR P-Q capability charts are needed, proposed, and developed by the power industry to assure IBR operation efficiency and reliability. This paper presents a comprehensive P-Q capability evaluation for an IBR plant interconnected with the transmission grid. The proposed study considers the impact of different IBR grid-connected filters, IBR vector control implementation in the dq reference frame, and special interconnection nature of IBRs in a plant structure. The models and algorithms developed for the IBR P-Q capability analysis have considered specific IBR constraints that are different from those of a synchronous generator. The paper especially focuses on exploring the P-Q capability characteristics of IBRs and IBR plant at different interconnection points that are important for managing, designing, and controlling IBRs within an IBR plant, and for the development of international standards, such as IEEE P2800, for connecting IBRs to the transmission and distribution grids in a plant structure.
Distributed Permutation Flow Shop Scheduling Method Based on Efficient Job Allocation Strategy

Distributed manufacturing can effectively improve production efficiency and shorten delivery cycle, which is one of the current research hotspots. Distributed permutation flow shop scheduling problem is a classical NP-hard problem, which includes two parts: job allocation and job ordering. However, most current researches focus on job ordering, which leads to local optimal solutions. Therefore, This paper proposes a distributed permutation flow shop scheduling method based on efficient job allocation. First, this paper studies the two sub-problems of the job allocation problem respectively, proposes the corresponding fast estimation method and proves it by experiments. Second, according to the characteristics of distributed permutation flow shop, the corresponding specialized efficient scheduling algorithm is proposed. Finally, 90 cases on the famous TA benchmark were selected for experiments. The experimental results showed that the proposed algorithm obtained 79 optimal solutions, and the coverage rate of the optimal solution reached 87.8%, which verified the effectiveness of the algorithm.
Research on Data Acquisition and Reconstruction Algorithm of Sensor Layer in Internet of Things Based on BP Neural Network

Wireless sensor network (WSN), as a new information collection method, has the advantages of high data sensing accuracy, good environmental adaptability, large coverage area, good concealment and strong invulnerability. Due to the limitation of sensor nodes' own size and WSN's working environment, the energy of sensor nodes in the network is generally limited, and it can't be replenished after the energy is exhausted, which makes it impossible to deploy and apply WSN on a large scale and for a long time in practice. In this paper, a data acquisition and reconstruction algorithm for the sensor layer of the Internet of Things (IOT) based on back propagation neural network (BPNN) and compressed sensing theory is proposed. Under the premise of ensuring the accuracy of data collection, the redundant information of the original data is removed to the greatest extent by compressing the member nodes and cluster head nodes in the cluster, and the data transmission in the network is reduced. The simulation results show that compared with the WSN data acquisition method in literature [9], the energy consumption of the WSN data acquisition method in this paper is reduced by more than 10%. The proposed algorithm can reduce the reconstruction complexity and reconstruction delay of the fusion center without increasing the compressed observation dimension, thus achieving the purpose of reducing network transmission energy consumption.
Iron and Viking Age grapes from Denmark – vine seeds found at the royal complexes by Lake Tissø

ABSTRACT Since the mid 1990s the National Museum of Denmark and Museum Vestsjælland have conducted excavations on two royal residential complexes from late Germanic Iron Age and Viking Age. During the excavations a range of samples were collected for macrofossil analysis. In two of these samples two seeds of vine grapes dated to the late Germanic Iron Age and the Viking Age were discovered. So far they are the oldest grape seeds discovered in the present Danish area. One of the seeds was chosen for strontium isotope analysis in order to determine the provenance of the grape. The strontium isotopic composition of the grape seed yielded a 87Sr/86Sr ratio of 0.71091 (±0.00004; 2σ) which falls within Denmark’s strontium isotopic baseline range indicating that the seed could be of local origin. Archaeological and historical evidence seem to point to that people in the Iron and Viking Age knew and consumed wine and even had access to gain potential know-how related to wine production. Hence, even though it is not possible to determine whether the two seeds found at Tissø are a result of either grape consumption (fresh or dried) or used for wine production, these finds point to that grapes and probably wine were products consumed by the elite at Tissø.
Student’s perception of Intention to join the company: A literature review

: The study highlighted the choice of attributes of brandingfor the students regarding their decision to start their career in the corporate world. The purposof this paper is to understand theattributes of the term “Employer branding” that have a maximum impact on the “intention to join” the company. This paper explores the various articles and theoretical models to develop a perspective on an employer of choice. This paper proposed theimportant attributes for intention to join the company, majorly focussed upon the six: salary, location, job security, work environment, social media influence and flexible working hours. On the basis of the above-mentioned attributes, anintegrative model has been prepared, and the implication of this study will be helpful in guiding the organizations in making the human resource strategy toattract the freshers to join. ---------------------------------------------------------------------------------------------------------------------------------------
A Comprehensive Comparison between Primary Liver Cancer and Liver Metastases through scRNA-Seq Data Analysis

Metastasis is one of the leading causes of cancer-related deaths. A comprehensive comparison of the differences between primary and metastatic cancers within the same organ can aid in understanding the growth mechanisms of cancer cells at metastatic sites, thereby helping to develop more effective targeted treatment strategies. Primary liver cancer is one of the most common types of cancer, and the liver is also one of the main metastatic sites. In this paper, we utilize single-cell RNA-Seq data to compare primary liver cancer and colorectal liver metastases from multiple perspectives, including cell types and proportions, activity of various cell types, cell–cell communication, mRNA expression differences within the same types of cells, key factors associated with cell proliferation, etc. Our analysis results show the following: (i) Compared to primary tissue, metastatic tissue contains more cytotoxic T cells and exhausted T cells, and it retains some specific characteristics of the primary site. (ii) Cells of the same type exhibit functional differences between primary and metastatic cancers, with metastatic cancer cells showing lower metabolism levels and immune cells exhibiting stronger immune activity. (iii) Interactions between monocytes and hepato-associated cells are strong in primary cancer, while depleted T cells frequently communicate with hepatocytes in metastatic cancer. (iv) Proliferation-related genes in primary and metastatic cancers are mainly involved in cell energy supply and basic metabolism activity, respectively.
Cathodoluminescence investigations and trace-element analysis of quartz by micro-PIXE; implications for diagenetic and provenance studies in sandstone

Hot-cathodoluminescence (CL) microscopy and high-resolution trace-element analyses by Particle Induced X-ray Emission (micro-PIXE) using the proton microprobe have been applied to samples of quartz arenite in order to obtain information about their diagenetic environment and the provenance of quartz detritus. The occurrence of an intensely zoned orange-brown cement generation within quartz overgrowths in quartzitic lenses from the Fontainebleau Sand (Oligocene, Paris Basin) coincides with increased Fe concentrations of up to 192 ppm. In contrast, the Fe content of a nonluminescing generation within the same overgrowths is significantly lower. This finding suggests that the CL is either activated by the Fe itself or caused by defects induced by the incorporation of Fe into the structure. Detrital grains of quartz from sandstone samples of different ages and locations (Wiehengebirgsquarzit, Upper Jurassic, northwestern Germany; Fontainebleau Sand, Oligocene, Paris Basin) yield a good correlation between CL color and Fe and Ti concentrations, with Fe (up to 455 ppm) being more abundant in red-brown-luminescing grains and Ti (up to 298 ppm) confined to grains with blue-violet luminescence. Ti is universally present in quartz from plutonic and extrusive igneous rocks, but rarely observed in quartz from metamorphic rocks. This supports the general contention that the blue-violet-luminescing quartz was formed under higher temperatures than the quartz with brown luminescence, an observation important for studies of sandstone provenance. Concerning the mechanisms of CL activation, these results do not unequivocally prove that the observed colors are activated by the elements sought. Despite the advantages of the microanalytical technique, the observed trace-element contents may still reflect submicroscopic inclusions rather than element incorporation into the structure.