Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing a Cancer Prevention Collaborative Goal-Setting Mobile App for Non-Hispanic Black Primary Care Patients: An Iterative, Qualitative Patient-Led Process

Background There remains a need to engage at-risk primary care populations in cancer prevention behaviors, yet primary care physicians often lack the time or resources to discuss these behaviors with their patients. Objective The objective of this study is to evaluate the content, usability, and acceptability of a mobile app that leverages insights from goal-setting and social network literature to facilitate cancer prevention goal setting, tracking, and sharing between non-Hispanic Black primary care patients and their social ties. Methods We recruited eligible non-Hispanic Black primary care patients (aged ≥18 years) from 2 practice sites in West Philadelphia, using nonprobabilistic purposive sampling. We conducted semistructured interviews with 5 to 7 participants over 3 weeks to solicit feedback on paper mock-ups of the app, iteratively adapting these mock-ups after each set of interviews. Thereafter, and informed by initial feedback, we created an electronic beta version of the app and sought acceptability and usability feedback from a different set of participants. Then, we conducted content analysis of all user responses to search for unifying themes on acceptability and usability of both the initial mock-ups and beta version of the app. We further assessed app usability using questions derived from the System Usability Scale. Results A total of 33 non-Hispanic Black primary care patients participated in this study. The mean age was 49 (SD 13) years, and 26 (79%) out of 33 participants identified as female. Semistructured interviews revealed three primary generalizable insights from our target population: the framing of each goal and its relevance to cancer impacted the likelihood that the goal would be chosen, participants thought that sharing health goals with others facilitates health behaviors, and most participants found it motivating to see other users’ goal progress, while still collaborating with these users on their health goals. An overarching insight that permeated across each theme was the participants’ desire to customize and personalize the app. Usability testing revealed that 100% (33/33) of participants found the app easy to use, and 76% (25/33) of participants reported that they would like to use this app frequently. Conclusions Cancer prevention in the modern era must include options that are accessible to all, but this does not mean that all options must be universal. This study’s iterative process led to the development of a cancer prevention mobile app that non-Hispanic Black primary care patients deemed usable and acceptable and yielded noteworthy insights about what intended end users value in setting and accomplishing health goals.
Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA

Non-orthogonal multiple access (NOMA) is a key technology to enable massive machine type communications (mMTC) in 5G networks and beyond. In this paper, NOMA is applied to improve the random access efficiency in high-density spatially-distributed multi-cell wireless IoT networks, where IoT devices contend for accessing the shared wireless channel using an adaptive p-persistent slotted Aloha protocol. To enable a capacity-optimal network, a novel formulation of random channel access management is proposed, in which the transmission probability of each IoT device is tuned to maximize the geometric mean of users’ expected capacity. It is shown that the network optimization objective is high dimensional and mathematically intractable, yet it admits favourable mathematical properties that enable the design of efficient data-driven algorithmic solutions which do not require a priori knowledge of the channel model or network topology. A centralized model-based algorithm and a scalable distributed model-free algorithm, are proposed to optimally tune the transmission probabilities of IoT devices and attain the maximum capacity. The convergence of the proposed algorithms to the optimal solution is further established based on convex optimization and game-theoretic analysis. Extensive simulations demonstrate the merits of the novel formulation and the efficacy of the proposed algorithms.
CAN A LEARNING ANALYTICS DASHBOARD PARTICIPATIVE DESIGN APPROACH BE TRANSPOSED TO AN ONLINE-ONLY CONTEXT?

In-person sessions of participative design are commonly used in the field of Learning Analytics, but to reach students not always available on-site (e.g. during a pandemic), they have to be adapted to online-only context. Card-based tools are a common co-design method to collect users’ needs, but this tangible format limits data collection and usage. We propose here two steps: first to use an existing co-design card deck-based method for our university context and next to adapt this new method called PADDLE (PArticipative Design of Dashboard for Learning in Education) for an online use. This article presents key factors and points of attention identified in adapting a card-based co-design method into a digital version for designing learning dashboards. This digital adaptation and the associated tool, ePADDLE, were tested with first year university students divided into 18 groups (N = 58). All groups have successfully designed a dashboard, and using the original evaluation scales, users have evaluated ePADDLE as almost as suitable as the original method. Thanks to the traces provided by the online version, we rely on speech acts to identify favorable conditions for successful collaboration.
Theoretical and experimental investigation of a nonlinear compressive-mode energy harvester with high power output under weak excitations

Harvesting ambient vibration energy is a promising method for realizing self-powered autonomous operation for low-power electronic devices. Most energy harvesters developed to date employ bending-beam configurations and work around the resonant points. There are two critical problems that have hindered the widespread adoption of energy harvesters: insufficient power output and narrow working bandwidth. To overcome these problems, we proposed a novel energy harvester, called a high-efficiency compressive-mode piezoelectric energy harvester (HC-PEH). The HC-PEH delicately synthesizes the merits of the force amplification effect of the flexural motion and the dynamic properties of elastic beams, and thus is capable of high power output with wide working bandwidth. In this paper, theoretical and experimental studies were performed on the HC-PEH. Taking nonlinear stiffness, nonlinear damping, and nonlinear piezoelectricity into account, we developed an analytical model that provides comprehensive insight into the nonlinear mechanical and electrical behaviors of the system. The analytical results closely render the experimental data and demonstrate great performance enhancement. In the experiment, a maximum power output of 54.7 mW is generated at 26 Hz under an acceleration of 4.9 m s−2, which is over one order of magnitude higher than other state-of-the-art systems.
Does Model Reflect on Reality? Exploring Beneish M Score on Selected Private Commercial Banks in Nepal

This research explores if possible fraudulent financial statement is present in private commercial banks in Nepal. This study examines the viability of Beneish M-score model in detecting probable earning manipulation considering the sample of 16 private commercial banks including the joint ventures. The published annual report (income statement and balance sheet) of the year 2018 and 2019 of respective banks are used as a secondary source of information. This research employs Beneish M-score equation and threshold value -2.22 as keys to analysis. The result shows even four banks are engaging in income manipulation, the Beneish model cannot identify the deception on the financial statement. Though the given model is suggested for manufacturing companies, the researcher has used it to explore the Banks—this is the limitation of this research. Further investigation of these tools combined with other fraud detection models is suggested to discover financial manipulation and relationship with the stock market return.
Flow in gaming: literature synthesis and framework development

Flow, a state of optimal experience where one is completely absorbed and immersed in an activity, is an important phenomenon for studying and designing games. In this article, we synthesise the literature on flow in gaming to discern existing research streams, and identify the antecedents, dimensions, and outcomes of flow which are then integrated into a framework. Based on the findings, we provide suggestions for game design elements that practitioners, such as game designers, may find useful for creating or inducing flow in gaming. We also discuss implications for research and practice as well as provide suggestions for future research.
Air quality monitoring and fire detection with the Karlsruhe electronic micronose KAMINA

An indoor air monitoring device is one of the most prominent consumer applications of an electronic nose (EN). Integral gas analysis similar to biogenic odor perception can be a versatile tool to obtain continuous information about pollutants, odors, and air compositions indicating gaseous precursors of dangers such as fires. However, an EN to be used as a common household device has to combine high sensitivity and excellent gas discrimination power with inexpensiveness, small size, and low power consumption. A special gas sensor microarray of thumbnail size has been developed at the Forschungszentrum Karlsruhe based on metal-oxide technology to meet these requirements. The microarray is produced by simply partitioning a monolithic metal-oxide layer with parallel electrode strips allowing low cost fabrication. A temperature gradient and a membrane thickness gradient (on metal-oxide layer) are responsible for differentiation between the individual sensor segments and thus for the conductivity patterns that are accordingly produced. The two membranes form the basis of gas discrimination power, reliability self checks, and online noise reduction. Model gas exposures usually show detection limits lower than 1 ppm. Successful practical tests are reported on the detection of overheated wire insulation for fire prevention as well as on air quality analysis for air conditioning purposes (e.g., air quality control during a meeting).
BEHAVIOR AND DESIGN OF CONCENTRICALLY LOADED PULTRUDED ANGLE STRUTS

This paper presents the results of a study pertaining to the short-term behavior of concentrically loaded single angle members made of pultruded fiber-reinforced polymeric materials. Seven E-glass/polyester and 18 E-glass/vinylester angle specimens having slenderness ratios ranging from 30 to 105 and leg width-to-thickness ratios of 8, 10.7, 12, 16, and 24 were tested. Tests have shown that under compression loading, pultruded angles reinforced with E-glass roving and nonwoven E-glass strand mats buckle in either flexural or flexural-torsional modes. These experimentally observed buckling modes were also predicted analytically, based on derived mathematical models that describe the buckling behavior of a specially orthotropic, centrally loaded, equal-leg angle section. Compression and in-plane shear coupon tests were conducted to characterize the material. The results were analyzed statistically to obtain the 95% lower confidence limit on the 5th percentile strength and modulus values, which in turn were .
Comparison of the anti-inflammatory activities of furanocoumarins from the roots of Angelica dahurica

Background: The roots of Angelica dahurica Bentham et Hooker filius ex Franchet et Savatier (Apiaceae) have traditionally been used for inflammatory skin diseases. A. dahurica roots (Byakushi) contain furanocoumarins, such as imperatorin and byakangelicin. To elucidate which constituents are responsible for the anti-inflammatory effects, we evaluated the potency of crude A. dahurica root extract fractions by monitoring the production of the inflammatory mediator nitric oxide (NO) in hepatocytes.Methods: The dried roots of A. dahurica were collected in South Korea and extracted with methanol. The resulting extract was fractionated into ethyl acetate (EtOAc)-soluble, n-butanol-soluble, and water-soluble fractions. Primary cultured rat hepatocytes were treated with interleukin (IL)-1β and each fraction for 8 h, and then the NO production and lactate dehydrogenase activity in the medium were measured. The expression of inducible nitric oxide synthase (iNOS) was detected by Western blotting, and its mRNA expression level was measured by quantitative reverse transcription-polymerase chain reaction.Results: Among the three fractions, the EtOAc-soluble fraction markedly suppressed NO production without showing cytotoxicity and decreased iNOS expression in hepatocytes. From this hydrophobic fraction, we isolated five furanocoumarins: isoimperatorin, imperatorin, phellopterin, oxypeucedanin, and oxypeucedanin methanolate. Phellopterin and oxypeucedanin methanolate significantly suppressed NO production and reduced the mRNA expression of iNOS and tumor necrosis factor α. In contrast, the other three constituents did not affect NO production. Comparison of their chemical structures suggests that a methoxy group at carbon 5 and a side chain at carbon 8 in the furanocoumarin skeleton may be essential for NO production suppression.Conclusion: These data imply that phellopterin and oxypeucedanin methanolate, which are hydrophobic furanocoumarins, may contribute to the anti-inflammatory effects of A. dahurica roots by suppressing iNOS gene expression.Keywords: Inflammation, nitric oxide, hepatocyte, coumarin, Kampo medicine
The effect of laser linewidth on coherent optical receivers with nonsynchronous demodulation

Recent theoretical analysis of the effect of using lasers with significant linewidths in coherent optical fiber transmission systems has shown how the design of the optical receiver, particularly the IF stage, affects the sensitivity. This paper reviews this theory for two classes of coherent systems-those making a differential phase measurement, and those not using phase information-where the requirements on laser linewidth are not stringent. We discuss the factors that affect the performance of systems with significant laser phase noise. Wherever possible, we compare the theoretical results with published system experiments. We show that our theory fits the experimental data well and indicates why experimental results have fallen short of the theoretical limits.
Severe Asthma, Telemedicine, and Self-Administered Therapy: Listening First to the Patient

Severe asthma patients are at an increased risk of major complications and they need to be monitored regularly. The COVID-19 pandemic has notably impacted on the health care resources. The telemedicine approach applied to the follow-up of asthmatic patients has been proven to be effective in monitoring their disease and their adherence to the therapy. The aim of our study was to investigate the satisfaction of severe asthma patients before the activation of a telemedicine management, as well as their current experience with self-administration of injection therapy. An ad hoc questionnaire was developed and sent by e-mail to 180 severe asthma patients. Most of subjects, 82%, were confident with the idea of doing self-measurements and self-managing their disease. Further, 77% of subjects favoured to carry out virtual visits and telemedicine. Regarding the home treatment, 93% of patients considered the self-injection therapy easy, 94% of subjects felt safe, and 93% were not worried while self-administering. Only mild adverse events were reported in 22% of patients after self-administration. Our results showed an agreement between what is considered necessary and practicable by healthcare personnel and what is perceived by the severe asthma patients in terms of treatment and monitoring of the disease with Telehealth. Biologics have a safety profile and can be easily self-administred at home.
Analisis Pengaruh Struktur Modal, Ukuran Perusahaan, dan Agency Cost Terhadap Kinerja Perusahaan

Penelitian ini bertujuan untuk menguji pengaruh struktur modal dan ukuran perusahaan terhadap agency cost; pengaruh struktur modal, ukuran perusahaan, dan agency cost terhadap kinerja perusahaan; serta pengaruh tidak langsung struktur modal dan ukuran perusahaan terhadap kinerja perusahaan melalui agency cost sebagai intervening variable. Populasi adalah perusahaan-perusahaan dalam industri dasar dan kimia yang terdaftar di Bursa Efek Indonesia tahun 2009. Dari populasi ini dipilih populasi sasaran yang semuanya menjadi sampel penelitian. Metode statistika yang digunakan adalah analisis jalur. Hasil pengujian menunjukkan bahwa terdapat pengaruh signifikan positif struktur modal terhadap agency cost dan pengaruh signifikan negatif ukuran perusahaan terhadap agency cost; tidak terdapat pengaruh signifikan struktur modal, ukuran perusahaan, dan agency cost terhadap kinerja perusahaan; serta tidak terdapat pengaruh tidak langsung struktur modal dan ukuran perusahaan terhadap kinerja perusahaan melalui agency cost sebagai intervening variable.
In Search of the Essence of Low-Code: An Exploratory Study of Seven Development Platforms

Rapidly growing attention has been directed in recent years toward a type of software development and execution environment now passing under the name of ‘low-code development platforms. ’ The fundamental claim is that limiting traditional coding mechanisms in favor of a variety of alternative means of design and specification yields substantial efficiency gains in professional and private software development. But although much stir at present surrounds low-code development platforms, it is by no means clear what, if any, features are distinctive of these systems, and whether any of these features mark out a technology which can be considered original. This paper presents an exploratory study of seven low-code development platforms, with the aim of discovering their essence and assessing them critically in the light of research in information systems development. An analysis framework covering a number of criteria regarding professional information systems development is used to characterize the selected platforms, and to point out features commonly, occasionally, and rarely possessed by them. The study reveals that hardly any features of low-code development are innovative in and of themselves, with novelty primarily consisting in their combination and integration. Still, we argue in conclusion, a number of research opportunities can be made out with an eye on the leitmotif of low-code development.
Experimental and Numerical Investigations on the Air-Pumping Phenomenon in High-Speed Spur and Helical Gears

Abstract An approximate hydrodynamic model of the air-lubricant pumping by spur and helical gears, which makes it possible to predict the compression-expansion process by the meshing teeth, is presented. The simulated pressure patterns correlate well with the experimental evidence obtained from a specific test rig for both spur and helical gears. Finally, it is shown that this pumping phenomenon can generate significant power losses, especially for high-speed applications.
Review of Web-Based Communications for Town Planning in Local Government

This paper looks at web-based communication for planning in local government. Despite communication with the community being an integral part of local government functions, the types of communication being used are rarely monitored or analyzed. This paper provides a comparative snapshot of the types of web-based communication being employed by local government in New South Wales, Australia, and investigates its correlation against a social index as well as planning staff and development activity statistics. The paper concludes with a discussion of how third-party hosting of websites and discussion forums are extending communication channels.
Detection of damage in multiwire cables based on wavelet entropy evolution

Multiwire cables are widely used in important engineering structures. Since they are exposed to several dynamic and static loads as well as detrimental environmental conditions, their structural health can be compromised. Due to the critical role played by multiwire cables, it is necessary to develop a non-destructive health monitoring method to maintain their structure and proper performance. Ultrasonic inspection using guided waves is a promising non-destructive damage monitoring technique for rods, single and multiwire cables. However, the propagated guided waves are composed of an infinite number of dispersive vibrational modes making their analysis difficult. In this work, an entropy-based method to identify small changes in non-stationary signals is proposed. An experimental system to capture and post-process acoustic signals is implemented. The discrete wavelet transform is computed in order to obtain the reconstructed wavelet coefficients of the signals and to analyze the energy at different scales. The use of the concept of entropy evolution of non-stationary signals to detect damage in multiwire cables is evaluated. The results show that there is a correlation between the entropy value and level of damage of the cable including breaking of single wires and change in the mechanical contact conditions among the wires. It is found that the studied method has low sensitivity to signal noise and can reduce the computational complexity encountered in a typical time–frequency analysis.
RADIO-FREQUENCY IDENTIFICATION APPLICATIONS IN CONSTRUCTION INDUSTRY

This paper provides information on radio-frequency identification (RFID) and its potential ap­ plications in the construction industry. RF1D involves the use of miniature read/write transponders that are capable of storing data in harsh environments. These transponders can be used in situations where optical scanning is not practical because vision is blocked or because labels fall off or become unreadable due to dust, dirt, or other contaminants. The technology is currently used in several applications outside the construction industry (e.g., reading meters, preventing theft of store merchandise, tracking railroad cars and intermodal freight containers, collecting tolls, and performing agricultural and animal research), and is seen as having potential in the construction industry. Potential construction applications for RFID technology discussed here include concrete processing and handling, cost coding for labor and equipment, and materials control. Con­ ceptual design systems for these applications are also considered and developed. Discussion of limitations of RFID technology for construction applications include proximity of equipment, nearby metallic objects, costs, and workforce attitudes. Conclusions are drawn regarding possible future impacts on construction industry.
Two-Dimensional Modeling of Multilayer Multimaterial Circuit Boards by Using an EQLAM Multilayer Model

The materials used in the field of printed circuit boards are becoming increasingly complex as they are common to make use of numerous combination of metallic and composite plies. The potential for utilization of circuit boards is generally verified through the numerical simulation, especially for the multilayer printed circuit boards with high electronic density. This paper provides a numerical model intended to describe numerically the behavior of multilayer multimaterial circuit boards. Two parts are considered in the developed model: one is elastic-plastic damaging model that is presented to describe the metallic ply in the multilayer circuit boards; another is degenerated bi-phase model that is presented to describe composite ply. With the combination of equivalent laminate (EQLAM) method, the degenerated bi-phase successfully models the woven glass-fiber/epoxy-resin composite ply. These two plies are the basic components of multilayer circuit boards. Meanwhile, with the verification of static tests and dynamic tests, the reliability of presented model is confirmed.Copyright © 2005 by ASME