Miracle-dz/UniFAR-FTUs huggingface dataset:
A Sports Digital Training System Based on Middle and Bottom Visual Information

Physical exercise has become increasingly popular in China in recent years, and the number of individuals participating in physical activities is growing year after year. Therefore, they are facing the problem of a serious shortage of sports resources, especially in the central and western regions where a complete physical education teaching system has not been established yet. The introduction of sports digital training alleviates this problem to a great extent. This approach uses advanced computer technology for digital training, collects people’s sports information, and formulates suitable sports programs for different groups. The system can collect people’s action videos at the same time by two cameras, analyze the athletes’ actions from the side and face by using the software, and compare the professional athletes’ actions with the collected video action for in-depth analysis. The sports digital training system proposed in this study focuses on collecting the bottom visual information of sports. The visual information in the middle and low levels is mainly used to describe the content of video segments, i.e., key primitives, including motion trajectory, motion action, and tracking motion, and establishes a sports digital training system based on the bottom visual information. In addition to the completion of basic functions of a sports digital training system, the system also adds the functions of video segmentation, action freezing, speed calculation, table display, local locking, and tracking, which can accurately collect the bottom visual information of people’s sports and realizes the digital sports training.
Large-area narrowband Fabry–Pérot interferometers for long-wavelength infrared spectral sensing

Abstract. This paper presents a proof-of-concept for microelectromechanical system (MEMS)-based fixed cavity Fabry–Pérot interferometers (FPIs) operating in the long-wavelength infrared (LWIR, 8 to 12 μm) region. This work reports for the first time on the use of low-index BaF2 thin films in combination with Ge high-index thin films for such applications. Extremely flat and stress-free ∼3-μm-thick free-standing distributed Bragg reflectors (DBRs) are also presented in this article, which were realized using thick lift-off of a trilayer structure fabricated using Ge and BaF2 optical layers. A peak-to-peak flatness was achieved for free-standing surface micromachined structures within the range of 10 to 20 nm across large spatial dimensions of several hundred micrometers. Finally, the optical characteristics of narrowband LWIR fixed cavity FPIs are also presented with a view toward the future realization of tunable wavelength MEMS-based spectrometers for spectral sensing. The measured optical characteristics of released FPIs agree with the modeled optical response after taking into consideration the fabrication-induced imperfections in the free-standing top DBR such as an average tilt of 15 nm and surface roughness of 25 nm. The fabricated FPIs are shown to have a linewidth of ∼110 nm and a suitable peak transmittance value of ∼50 % , which meets the requirements for their utilization in tunable MEMS-based LWIR spectroscopic sensing and imaging applications requiring spectral discrimination with narrow linewidth.
Culture coding - a method for diversifying artefact associations in design ideation

ABSTRACT It can be claimed that technological systems are, in some ways, reflections of the designers’ way of thinking. These designs affect the behavior of the users and contribute to the reproduction of future designs, thus strengthening the existing human-technology relations. To address these issues critically, there is a need to challenge design ideation processes for generating a larger variety of design proposals that can contribute to varied users and user behavior. For this purpose, we propose a new method- Culture Coding, that can complement design ideation processes where generating, developing, and elaborating ideas is crucial. In this qualitative study, we explore the value of the proposed method in design by using design activities and a research-through-design approach. The experimental setup consists of two Design Cases where study participants contributed by taking part in two co-design workshops. The findings of the study indicate that Culture Coding may help to guide attention to new perspectives and challenge assumptions of the design context.
A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms

The holistic perspective model is a concept of three stages that considers the whole of online consumer behavior. It is based on dynamic aspects and overview measurement to demonstrate the preliminary of three stages, including “Pre-purchase”, “Purchase” and “Post-purchase”. There is a shared purpose for all the positive, negative, and hesitation factors that inhibit or encourage online shopping decisions. This model can capture the dynamic and fast-changing elements in online shopping platforms. Most online buying-selling platforms are gaining popularity and growing rapidly. Thus, they should maintain good levels of online customers’ satisfaction. This research presents a balanced investigation model of online consumer purchasing behaviors under uncertainty through the integration of Push-Pull Mooring (PPM) theory and the three stages of online consumer behaviors. In this study, questionnaires were collected from 525 online applications from experienced users of electronic business platforms. The outcome reveals that PPM affects three stages of online consumer behaviors. This means that PPM factors influence online customers during and after online shopping. This research can be used to develop attractive online shopping applications for prospective customers while retaining existing customers, which is the challenge faced by online shopping platforms.
IMPLEMENTATION OF THE EUROPEAN EXPERIENCE OF SOCIAL INCLUSION IN THE TRAINING OF SPECIALISTS OF A SOCIO-ECONOMIC PROFILE (UKRAINIAN CONTEXT)

In the presented research we briefly outlined the issues of training specialists of socio-economic profile in higher educational institutions of Ukraine. We addressed certain aspects of social inclusion and the key indicators of social inclusion in accordance with the priorities of social policy development in Europe. In particular, the indicators and goals of social inclusion, such as inclusion and/or exclusion of some groups of population, the impact of the level of «poverty» on these processes. And also, the influence of these factors on the educational process in higher education institutions, the formation of empathy, stress resistance, social adaptation, professional and inclusive competence.As a part of our research, we diagnosed the level of empathy (Yusupov, 2002), stress resistance and social adaptation (Holmes Rage, 2009), social frustration (Wasserman, 2009) of student youth who are included in project activities and studying in basic educational programs. Comparison of statistical data of EU countries and Ukraine on the indicators of inclusion of persons in need of inclusive education in active social processes has been carried out.The analysis briefly presents pedagogical technologies with high efficiency in the formation of competencies of future specialists of socio-economic profile and presents the main trends in the formation of the environment of social inclusion, which are proposed and implemented in the framework of project activities and cooperation with EU countries on the territory of Ukraine.
CINet-Lessons from and for a community of practice

This paper presents and analyzes the Continuous Innovation Network (CINet) and its development over time from the perspective of community of practice theory. In contrast to most of the existing literature, this research has focused on an inter-organizational community. It appears the differences between intra- and inter-organizational communities are small. Furthermore, the research identified a range of factors whose interplay influences the development of this kind of communities. The paper is concluded with a number of recommendations for the further development of CINet.
RETRACTED: Priming the Concept of Fullness with Visual Sequences Reduces Portion Size Choice in Online Food Ordering

Body Mass Indices and obesity rates are increasing worldwide, and one way to reduce caloric intake is to reduce portion size choice. In this research, the authors develop a behavioral intervention aimed at reducing portion size choices in the context of online food ordering. In eight experiments (including a field experiment), the authors show that the sequential presentation of two food images that move from partial to whole reduces hunger perceptions and portion size choices relative to all comparable sequences. This effect occurs because the partial-to-whole image presentation primes the concept of reaching fullness, which in turn reduces perceptions of hunger and portion size choices. The effect of image sequence on both hunger perceptions and portion size choices is mediated by the accessibility of the concept full and is attenuated when visualization of the dynamic sequence (partial-to-whole) is inhibited. The partial-to-whole sequence effect is observed even when the sequential images are unrelated to food, and is robust across languages, age groups, food type, and choice contexts. The brief, low-cost intervention can be implemented across several online food-ordering contexts (e.g., school cafeteria apps, diet apps) and has important public policy implications.
Proteomic Analysis of Human Sputum for the Diagnosis of Lung Disorders: Where Are We Today?

The identification of markers of inflammatory activity at the early stages of pulmonary diseases which share common characteristics that prevent their clear differentiation is of great significance to avoid misdiagnosis, and to understand the intrinsic molecular mechanism of the disorder. The combination of electrophoretic/chromatographic methods with mass spectrometry is currently a promising approach for the identification of candidate biomarkers of a disease. Since the fluid phase of sputum is a rich source of proteins which could provide an early diagnosis of specific lung disorders, it is frequently used in these studies. This report focuses on the state-of-the-art of the application, over the last ten years (2011–2021), of sputum proteomics in the investigation of severe lung disorders such as COPD; asthma; cystic fibrosis; lung cancer and those caused by COVID-19 infection. Analysis of the complete set of proteins found in sputum of patients affected by these disorders has allowed the identification of proteins whose levels change in response to the organism’s condition. Understanding proteome dynamism may help in associating these proteins with alterations in the physiology or progression of diseases investigated.
Ensemble Classification Model for EV Identification From Smart Meter Recordings

Electric vehicles (EVs) often consume large amounts of energy, and uncoordinated charging of many EVs may lead to grid overload, adversely impacting other customers. Electricity distributors require full visibility on the EV distribution to better manage operation planning of their distribution grid. However, they often have incomplete knowledge of EV presence in their network. Identifying EV customers (charging at home) using smart meter data is a nontrivial task for the grid network and energy scheduling. The difficulties include recognizing charging patterns, balancing the number of EV and non-EV customers during modeling, and building an efficient classification model. In this article, we propose a periodic pattern recognition method to extract useful EV charging patterns. Real world smart meter datasets are unbalanced with few EVs and majority of energy customers are those without EVs. We improve Kmedoids evaluated by dynamic time warping to obtain the representative non-EV training samples so that balanced samples over EV and non-EV customers can be obtained. We develop an ensemble classification model (ECM) by taking advantages of multiple classifiers, in which the optimization consists of obtaining the optimal subset of periodic patterns and the optimal parameters in each classifier and the optimal weights for combining classifiers. The superiority of the proposed ECM is demonstrated in comparison to several baseline models.
Molecular Machines: I. An Overview of Biological and Synthetic Angstromic Devices

A molecular machine is a group of molecular components that are able to produce quasi-mechanical movements when exposed to specific stimuli. There are three broad divisions of the molecular machines, namely natural or biological, synthetic, and natural-synthetic hybrid machines. Biological motors convert chemical energy to produce linear or rotary motion as well as controlling many biological functions. Examples of the linear motions are proteins, muscle contraction, intracellular transport, signal transduction, ATP synthase, membrane translocation proteins and the flagella motor. The rotary motor example of biological molecular machines is the synthesis and hydrolysis of ATP. Synthetic molecular machine includes motors, propellers, switches, shuttles, tweezers, sensors, logic gates. Natural-synthetic hybrid systems are mechanical motor such as those inspired from DNA-based structures.
Synthetic Approaches to Colloidal Nanocrystal Heterostructures Based on Metal and Metal-Oxide Materials

Composite inorganic nanoarchitectures, based on combinations of distinct materials, represent advanced solid-state constructs, where coexistence and synergistic interactions among nonhomologous optical, magnetic, chemical, and catalytic properties lay a basis for the engineering of enhanced or even unconventional functionalities. Such systems thus hold relevance for both theoretical and applied nanotechnology-based research in diverse areas, spanning optics, electronics, energy management, (photo)catalysis, biomedicine, and environmental remediation. Wet-chemical colloidal synthetic techniques have now been refined to the point of allowing the fabrication of solution free-standing and easily processable multicomponent nanocrystals with sophisticated modular heterostructure, built upon a programmed spatial distribution of the crystal phase, composition, and anchored surface moieties. Such last-generation breeds of nanocrystals are thus composed of nanoscale domains of different materials, assembled controllably into core/shell or heteromer-type configurations through bonding epitaxial heterojunctions. This review offers a critical overview of achievements made in the design and synthetic elaboration of colloidal nanocrystal heterostructures based on diverse associations of transition metals (with emphasis on plasmonic metals) and transition-metal oxides. Synthetic strategies, all leveraging on the basic seed-mediated approach, are described and discussed with reference to the most credited mechanisms underpinning regioselective heteroepitaxial deposition. The unique properties and advanced applications allowed by such brand-new nanomaterials are also mentioned.
Principal Leadership: Responding to The Challenges of 21st Century Teacher Competence

This study aims to understand the principal's leadership in responding to the challenges of the pedagogic competence of 21st-century teachers at SMA Negeri 68 Jakarta. A qualitative approach with a descriptive method is applied in this study. Data was collected through interviews, observation, and documentation. The data analysis was conducted interactively, starting with data collection, data reduction, data display, and concluding. The results showed that; Principal leadership in improving teacher pedagogic competence is carried out by strengthening educator certification, training organized by the department and school, strengthening collaboration, communication, critical and creative thinking, implemented through literacy skills, strengthening character education, information, and communication technology-based learning. This research has implications for the importance of teacher competence in improving the quality of education in schools, so it needs to get earnest attention from all parties.
Lupin Protein Concentrate as a Novel Functional Food Additive That Can Reduce Colitis-Induced Inflammation and Oxidative Stress

Food fortification with bioactive compounds may constitute a way to ameliorate inflammatory bowel diseases (IBDs). Lupin seeds contain an oligomer named deflamin that can reduce IBD’s symptoms via MMP-9 inhibition. Here, our goal was to develop a lupin protein concentrate (LPC) enriched in deflamin and to test its application as a food additive to be used as a functional food against colitis. The nutritional profile of the LPC was evaluated, and its efficacy in vivo was tested, either alone or as added to wheat cookies. The LPC presented high protein and carbohydrate contents (20.09 g/100 g and 62.05/100 g, respectively), as well as antioxidant activity (FRAP: 351.19 mg AAE/10 mg and DPPH: 273.9 mg AAE/10 mg). It was also effective against TNBS-induced colitis in a dose dependent-manner, reducing DAI scores by more than 50% and concomitantly inhibiting MMP-9 activity. When added to cookies, the LPC activities were maintained after baking, and a 4-day diet with LPC cookies induced a significant protective effect against acetic acid-induced colitis, overall bringing lesions, oxidative stress and DNA damage levels to values significantly similar to controls (p < 0.001). The results show that the LPC is an efficient way to deliver deflamin in IBD-targeted diets.
RE-EVALUATING ORION’S RELATIVE NAVIGATION FILTER DESIGN FOR NASA’S FUTURE EXPLORATION MISSIONS

The vision of human exploration introduced by the Constellation Program over a decade ago demanded extensive capability from the Orion spacecraft. One of the critical ﬂight elements included automated and piloted rendezvous and docking with multiple vehicles in Low Lunar Orbit (LLO) and Low Earth Orbit (LEO). To support the necessary rendezvous, proximity operations, and docking (RPOD) requirements, the design and development of the relative navigation system began. Following the cancellation of the Constellation Program and subsequent shifts in NASA’s near term exploration goals, the need for the crewed Orion vehi- cle to perform RPOD was postponed along with the relative navigation ﬁlter development. Recently, NASA has begun procuring docking hardware to support upcoming exploration missions (EM) and the need to investigate Orion’s rendezvous and docking capability has resurfaced. This paper revisits the relative navigation ﬁlter design and re-evaluates the se- lected formulation in context of past and current space programs, analyzes the performance and trades between different ﬁlter designs, and demonstrates the ﬁlter’s performance in con- text of the proposed rendezvous and docking concept of operations (ConOps) envisioned for establishing a deep space gateway (DSG) in a lunar near rectilinear halo orbit (NRHO). Abstract —A new information formulation of the Kalman ﬁlter is presented where the information matrix is parameterized as the product of an upper triangular matrix, a diagonal matrix, and the transpose of the triangular matrix (UDU factorization). The UDU factorization of the Kalman ﬁlter is known for its numerical stability, this work extends the technique the information ﬁlter. A distinct characteristic of the new algorithm is that measurements can be processed as vectors, while the classic UDU factorization requires scalar measurement processing, i.e. a diagonal measurement noise covariance matrix.
Dynamics of Dissolved Carbon in Subalpine Forest Streams

Dissolved carbon (DC) in forest streams plays a crucial role in maintaining the structure and productivity of adjoining aquatic ecosystems as well as informing biogeochemical links between mountain forests and adjoining rivers. Nevertheless, the functions of forest stream DC dynamics are rarely incorporated into river management. To better understand the biogeochemical links between subalpine forests and adjoining streams, the seasonal dynamics of DC in 15 representative forest streams were investigated in a geographically fragile subalpine-gorge catchment in the upper reaches of the Yangtze River. Depending on stream characteristics and critical periods, the DC stocks in the streams ranged from 0.22 to 2.35 mg m−2 for total DC, from 0.10 to 1.66 mg m−2 for dissolved inorganic carbon (DIC), and from 0.12 to 1.27 mg m−2 for dissolved organic carbon (DOC). Moreover, the annual stocks of DC, DIC, and DOC were 1.01, 0.56, and 0.45 mg m−2, respectively. Correspondingly, the averaged export rates for DC, DIC, and DOC from the forest streams ranged from 0.27 to 1.98 mg s−1, from 0.24 to 1.48 mg s−1, and from 0.18 to 0.90 mg s−1, respectively, in the subalpine forest catchment. The annual export rates of total DC, DIC, and DOC were 1.06, 0.75, and 0.31 mg C s−1, respectively. In particular, the highest rates of export were 4.67, 3.53, and 1.34 mg s−1 for DC, DIC, and DOC, respectively, in the snowmelt period. The average ratios of DOC to DIC stock in the export water ranged from 0.23–2.41 for the 15 streams, and the average value was 0.85 during this one-year investigation. In addition, the maximum and minimum values of the DC stocks, their exports, and the DIC:DOC ratio were consistently observed during the snowmelt season and the late growing period. In summary, precipitation, temperature, water discharge rate, and sediment depth regulated the stocks and export rates of DC and its components. In general, forest streams are important links between the carbon biogeochemical cycle of subalpine forests and adjoining streams.
New methods for modeling and integrating bicycle activity and injury risk in an urban road network

x Résumé . xii Acknowledgments . xiv Contribution of Authors . xv Chapter 1: Introduction . 1 1.1. Context . 2 1.2. Problem Statement . 4 1.3. Objectives . 5 1.3. 1. Specific Objectives . 5 1.4. General Literature Review . 6 1.4. 1. Exposure Measures . 7 1.4. 2. Geometric Design and Built Environment Characteristics . 8 1.4. 3. Integral Bicycle Activity and Safety Modeling Approach . 10 1.4. 4. Surrogate Safety Measures . 11 1.4. 5. Cyclist GPS Data . 13 1.5. Original Contributions . 14 1.6. General Methodology . 15 1.7. Organization of the Document . 19
Language, Culture, and Ecology: An Exploration of Language Ecology in Pragmatics

This paper discussed the relationship between language, ecology, and culture, and claimed that the study of linguistic communication as pragmatics should not be confined to the traditional context, but should focus on a broader ecological environment. It analyzed the context of practical communication from the perspective of language ecology beginning with the discussion of the ecological crisis in communication and found that language, like plants and animals in nature, needed the support of the external environment with certain “soil fertility”. This paper classified ecological context into two types: internal ecological context (psychological-cognitive context) and external ecological context (natural environment and social environment). Based on this classification, the ecological context of pragmatics was further divided into environment-friendly context, addressee-friendly context, and speaker-friendly ecological context. This paper was an exploratory analysis of language ecology in pragmatics, aiming at helping communicative participants find their ecological niche and adopt appropriate strategies to maintain the ecological balance in pragmatic communication.